(#5849) Convert rst to markdown (#6040)

Converting some of the rst documentation to markdown.  Attempted to
preserve whitespace and line breaks to minimize cosmetic change.
This commit is contained in:
dstipp 2019-09-17 07:55:29 -04:00 committed by Richard van der Hoff
parent 70c52821ce
commit 379d2a8c39
41 changed files with 2088 additions and 2192 deletions

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@ -56,7 +56,7 @@ Code style
All Matrix projects have a well-defined code-style - and sometimes we've even
got as far as documenting it... For instance, synapse's code style doc lives
at https://github.com/matrix-org/synapse/tree/master/docs/code_style.rst.
at https://github.com/matrix-org/synapse/tree/master/docs/code_style.md.
Please ensure your changes match the cosmetic style of the existing project,
and **never** mix cosmetic and functional changes in the same commit, as it

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@ -373,7 +373,7 @@ is suitable for local testing, but for any practical use, you will either need
to enable a reverse proxy, or configure Synapse to expose an HTTPS port.
For information on using a reverse proxy, see
[docs/reverse_proxy.rst](docs/reverse_proxy.rst).
[docs/reverse_proxy.md](docs/reverse_proxy.md).
To configure Synapse to expose an HTTPS port, you will need to edit
`homeserver.yaml`, as follows:
@ -446,7 +446,7 @@ on your server even if `enable_registration` is `false`.
## Setting up a TURN server
For reliable VoIP calls to be routed via this homeserver, you MUST configure
a TURN server. See [docs/turn-howto.rst](docs/turn-howto.rst) for details.
a TURN server. See [docs/turn-howto.md](docs/turn-howto.md) for details.
## URL previews

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@ -115,7 +115,7 @@ Registering a new user from a client
By default, registration of new users via Matrix clients is disabled. To enable
it, specify ``enable_registration: true`` in ``homeserver.yaml``. (It is then
recommended to also set up CAPTCHA - see `<docs/CAPTCHA_SETUP.rst>`_.)
recommended to also set up CAPTCHA - see `<docs/CAPTCHA_SETUP.md>`_.)
Once ``enable_registration`` is set to ``true``, it is possible to register a
user via `riot.im <https://riot.im/app/#/register>`_ or other Matrix clients.
@ -186,7 +186,7 @@ Almost all installations should opt to use PostreSQL. Advantages include:
synapse itself.
For information on how to install and use PostgreSQL, please see
`docs/postgres.rst <docs/postgres.rst>`_.
`docs/postgres.md <docs/postgres.md>`_.
.. _reverse-proxy:
@ -201,7 +201,7 @@ It is recommended to put a reverse proxy such as
doing so is that it means that you can expose the default https port (443) to
Matrix clients without needing to run Synapse with root privileges.
For information on configuring one, see `<docs/reverse_proxy.rst>`_.
For information on configuring one, see `<docs/reverse_proxy.md>`_.
Identity Servers
================

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@ -103,7 +103,7 @@ Upgrading to v1.2.0
===================
Some counter metrics have been renamed, with the old names deprecated. See
`the metrics documentation <docs/metrics-howto.rst#renaming-of-metrics--deprecation-of-old-names-in-12>`_
`the metrics documentation <docs/metrics-howto.md#renaming-of-metrics--deprecation-of-old-names-in-12>`_
for details.
Upgrading to v1.1.0

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@ -0,0 +1 @@
Convert documentation to markdown (from rst)

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@ -1,30 +1,31 @@
# Overview
Captcha can be enabled for this home server. This file explains how to do that.
The captcha mechanism used is Google's ReCaptcha. This requires API keys from Google.
Getting keys
------------
## Getting keys
Requires a public/private key pair from:
https://developers.google.com/recaptcha/
<https://developers.google.com/recaptcha/>
Must be a reCAPTCHA v2 key using the "I'm not a robot" Checkbox option
Setting ReCaptcha Keys
----------------------
## Setting ReCaptcha Keys
The keys are a config option on the home server config. If they are not
visible, you can generate them via --generate-config. Set the following value::
visible, you can generate them via `--generate-config`. Set the following value:
recaptcha_public_key: YOUR_PUBLIC_KEY
recaptcha_private_key: YOUR_PRIVATE_KEY
In addition, you MUST enable captchas via::
In addition, you MUST enable captchas via:
enable_registration_captcha: true
Configuring IP used for auth
----------------------------
## Configuring IP used for auth
The ReCaptcha API requires that the IP address of the user who solved the
captcha is sent. If the client is connecting through a proxy or load balancer,
it may be required to use the X-Forwarded-For (XFF) header instead of the origin
IP address. This can be configured using the x_forwarded directive in the
it may be required to use the `X-Forwarded-For` (XFF) header instead of the origin
IP address. This can be configured using the `x_forwarded` directive in the
listeners section of the homeserver.yaml configuration file.

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@ -147,7 +147,7 @@ your domain, you can simply route all traffic through the reverse proxy by
updating the SRV record appropriately (or removing it, if the proxy listens on
8448).
See [reverse_proxy.rst](reverse_proxy.rst) for information on setting up a
See [reverse_proxy.md](reverse_proxy.md) for information on setting up a
reverse proxy.
#### Option 3: add a .well-known file to delegate your matrix traffic
@ -319,7 +319,7 @@ We no longer actively recommend against using a reverse proxy. Many admins will
find it easier to direct federation traffic to a reverse proxy and manage their
own TLS certificates, and this is a supported configuration.
See [reverse_proxy.rst](reverse_proxy.rst) for information on setting up a
See [reverse_proxy.md](reverse_proxy.md) for information on setting up a
reverse proxy.
### Do I still need to give my TLS certificates to Synapse if I am using a reverse proxy?

7
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@ -0,0 +1,7 @@
# Synapse Documentation
This directory contains documentation specific to the `synapse` homeserver.
All matrix-generic documentation now lives in its own project, located at [matrix-org/matrix-doc](https://github.com/matrix-org/matrix-doc)
(Note: some items here may be moved to [matrix-org/matrix-doc](https://github.com/matrix-org/matrix-doc) at some point in the future.)

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@ -1,6 +0,0 @@
All matrix-generic documentation now lives in its own project at
github.com/matrix-org/matrix-doc.git
Only Synapse implementation-specific documentation lives here now
(together with some older stuff will be shortly migrated over to matrix-doc)

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@ -0,0 +1,81 @@
> **Warning**
> These architecture notes are spectacularly old, and date back
> to when Synapse was just federation code in isolation. This should be
> merged into the main spec.
# Server to Server
## Server to Server Stack
To use the server to server stack, home servers should only need to
interact with the Messaging layer.
The server to server side of things is designed into 4 distinct layers:
1. Messaging Layer
2. Pdu Layer
3. Transaction Layer
4. Transport Layer
Where the bottom (the transport layer) is what talks to the internet via
HTTP, and the top (the messaging layer) talks to the rest of the Home
Server with a domain specific API.
1. **Messaging Layer**
This is what the rest of the Home Server hits to send messages, join rooms,
etc. It also allows you to register callbacks for when it get's notified by
lower levels that e.g. a new message has been received.
It is responsible for serializing requests to send to the data
layer, and to parse requests received from the data layer.
2. **PDU Layer**
This layer handles:
- duplicate `pdu_id`'s - i.e., it makes sure we ignore them.
- responding to requests for a given `pdu_id`
- responding to requests for all metadata for a given context (i.e. room)
- handling incoming backfill requests
So it has to parse incoming messages to discover which are metadata and
which aren't, and has to correctly clobber existing metadata where
appropriate.
For incoming PDUs, it has to check the PDUs it references to see
if we have missed any. If we have go and ask someone (another
home server) for it.
3. **Transaction Layer**
This layer makes incoming requests idempotent. i.e., it stores
which transaction id's we have seen and what our response were.
If we have already seen a message with the given transaction id,
we do not notify higher levels but simply respond with the
previous response.
`transaction_id` is from "`GET /send/<tx_id>/`"
It's also responsible for batching PDUs into single transaction for
sending to remote destinations, so that we only ever have one
transaction in flight to a given destination at any one time.
This is also responsible for answering requests for things after a
given set of transactions, i.e., ask for everything after 'ver' X.
4. **Transport Layer**
This is responsible for starting a HTTP server and hitting the
correct callbacks on the Transaction layer, as well as sending
both data and requests for data.
## Persistence
We persist things in a single sqlite3 database. All database queries get
run on a separate, dedicated thread. This that we only ever have one
query running at a time, making it a lot easier to do things in a safe
manner.
The queries are located in the `synapse.persistence.transactions` module,
and the table information in the `synapse.persistence.tables` module.

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@ -1,59 +0,0 @@
.. WARNING::
These architecture notes are spectacularly old, and date back to when Synapse
was just federation code in isolation. This should be merged into the main
spec.
= Server to Server =
== Server to Server Stack ==
To use the server to server stack, home servers should only need to interact with the Messaging layer.
The server to server side of things is designed into 4 distinct layers:
1. Messaging Layer
2. Pdu Layer
3. Transaction Layer
4. Transport Layer
Where the bottom (the transport layer) is what talks to the internet via HTTP, and the top (the messaging layer) talks to the rest of the Home Server with a domain specific API.
1. Messaging Layer
This is what the rest of the Home Server hits to send messages, join rooms, etc. It also allows you to register callbacks for when it get's notified by lower levels that e.g. a new message has been received.
It is responsible for serializing requests to send to the data layer, and to parse requests received from the data layer.
2. PDU Layer
This layer handles:
* duplicate pdu_id's - i.e., it makes sure we ignore them.
* responding to requests for a given pdu_id
* responding to requests for all metadata for a given context (i.e. room)
* handling incoming backfill requests
So it has to parse incoming messages to discover which are metadata and which aren't, and has to correctly clobber existing metadata where appropriate.
For incoming PDUs, it has to check the PDUs it references to see if we have missed any. If we have go and ask someone (another home server) for it.
3. Transaction Layer
This layer makes incoming requests idempotent. I.e., it stores which transaction id's we have seen and what our response were. If we have already seen a message with the given transaction id, we do not notify higher levels but simply respond with the previous response.
transaction_id is from "GET /send/<tx_id>/"
It's also responsible for batching PDUs into single transaction for sending to remote destinations, so that we only ever have one transaction in flight to a given destination at any one time.
This is also responsible for answering requests for things after a given set of transactions, i.e., ask for everything after 'ver' X.
4. Transport Layer
This is responsible for starting a HTTP server and hitting the correct callbacks on the Transaction layer, as well as sending both data and requests for data.
== Persistence ==
We persist things in a single sqlite3 database. All database queries get run on a separate, dedicated thread. This that we only ever have one query running at a time, making it a lot easier to do things in a safe manner.
The queries are located in the synapse.persistence.transactions module, and the table information in the synapse.persistence.tables module.

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@ -0,0 +1,31 @@
# Registering an Application Service
The registration of new application services depends on the homeserver used.
In synapse, you need to create a new configuration file for your AS and add it
to the list specified under the `app_service_config_files` config
option in your synapse config.
For example:
```yaml
app_service_config_files:
- /home/matrix/.synapse/<your-AS>.yaml
```
The format of the AS configuration file is as follows:
```yaml
url: <base url of AS>
as_token: <token AS will add to requests to HS>
hs_token: <token HS will add to requests to AS>
sender_localpart: <localpart of AS user>
namespaces:
users: # List of users we're interested in
- exclusive: <bool>
regex: <regex>
- ...
aliases: [] # List of aliases we're interested in
rooms: [] # List of room ids we're interested in
```
See the [spec](https://matrix.org/docs/spec/application_service/unstable.html) for further details on how application services work.

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@ -1,35 +0,0 @@
Registering an Application Service
==================================
The registration of new application services depends on the homeserver used.
In synapse, you need to create a new configuration file for your AS and add it
to the list specified under the ``app_service_config_files`` config
option in your synapse config.
For example:
.. code-block:: yaml
app_service_config_files:
- /home/matrix/.synapse/<your-AS>.yaml
The format of the AS configuration file is as follows:
.. code-block:: yaml
url: <base url of AS>
as_token: <token AS will add to requests to HS>
hs_token: <token HS will add to requests to AS>
sender_localpart: <localpart of AS user>
namespaces:
users: # List of users we're interested in
- exclusive: <bool>
regex: <regex>
- ...
aliases: [] # List of aliases we're interested in
rooms: [] # List of room ids we're interested in
See the spec_ for further details on how application services work.
.. _spec: https://matrix.org/docs/spec/application_service/unstable.html

65
docs/architecture.md Normal file
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# Synapse Architecture
As of the end of Oct 2014, Synapse's overall architecture looks like:
synapse
.-----------------------------------------------------.
| Notifier |
| ^ | |
| | | |
| .------------|------. |
| | handlers/ | | |
| | v | |
| | Event*Handler <--------> rest/* <=> Client
| | Rooms*Handler | |
HS <=> federation/* <==> FederationHandler | |
| | | PresenceHandler | |
| | | TypingHandler | |
| | '-------------------' |
| | | | |
| | state/* | |
| | | | |
| | v v |
| `--------------> storage/* |
| | |
'--------------------------|--------------------------'
v
.----.
| DB |
'----'
- Handlers: business logic of synapse itself. Follows a set contract of BaseHandler:
- BaseHandler gives us onNewRoomEvent which: (TODO: flesh this out and make it less cryptic):
- handle_state(event)
- auth(event)
- persist_event(event)
- notify notifier or federation(event)
- PresenceHandler: use distributor to get EDUs out of Federation.
Very lightweight logic built on the distributor
- TypingHandler: use distributor to get EDUs out of Federation.
Very lightweight logic built on the distributor
- EventsHandler: handles the events stream...
- FederationHandler: - gets PDU from Federation Layer; turns into
an event; follows basehandler functionality.
- RoomsHandler: does all the room logic, including members - lots
of classes in RoomsHandler.
- ProfileHandler: talks to the storage to store/retrieve profile
info.
- EventFactory: generates events of particular event types.
- Notifier: Backs the events handler
- REST: Interfaces handlers and events to the outside world via
HTTP/JSON. Converts events back and forth from JSON.
- Federation: holds the HTTP client & server to talk to other servers.
Does replication to make sure there's nothing missing in the graph.
Handles reliability. Handles txns.
- Distributor: generic event bus. used for presence & typing only
currently. Notifier could be implemented using Distributor - so far
we are only using for things which actually /require/ dynamic
pluggability however as it can obfuscate the actual flow of control.
- Auth: helper singleton to say whether a given event is allowed to do
a given thing (TODO: put this on the diagram)
- State: helper singleton: does state conflict resolution. You give it
an event and it tells you if it actually updates the state or not,
and annotates the event up properly and handles merge conflict
resolution.
- Storage: abstracts the storage engine.

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@ -1,68 +0,0 @@
Synapse Architecture
====================
As of the end of Oct 2014, Synapse's overall architecture looks like::
synapse
.-----------------------------------------------------.
| Notifier |
| ^ | |
| | | |
| .------------|------. |
| | handlers/ | | |
| | v | |
| | Event*Handler <--------> rest/* <=> Client
| | Rooms*Handler | |
HSes <=> federation/* <==> FederationHandler | |
| | | PresenceHandler | |
| | | TypingHandler | |
| | '-------------------' |
| | | | |
| | state/* | |
| | | | |
| | v v |
| `--------------> storage/* |
| | |
'--------------------------|--------------------------'
v
.----.
| DB |
'----'
* Handlers: business logic of synapse itself. Follows a set contract of BaseHandler:
- BaseHandler gives us onNewRoomEvent which: (TODO: flesh this out and make it less cryptic):
+ handle_state(event)
+ auth(event)
+ persist_event(event)
+ notify notifier or federation(event)
- PresenceHandler: use distributor to get EDUs out of Federation. Very
lightweight logic built on the distributor
- TypingHandler: use distributor to get EDUs out of Federation. Very
lightweight logic built on the distributor
- EventsHandler: handles the events stream...
- FederationHandler: - gets PDU from Federation Layer; turns into an event;
follows basehandler functionality.
- RoomsHandler: does all the room logic, including members - lots of classes in
RoomsHandler.
- ProfileHandler: talks to the storage to store/retrieve profile info.
* EventFactory: generates events of particular event types.
* Notifier: Backs the events handler
* REST: Interfaces handlers and events to the outside world via HTTP/JSON.
Converts events back and forth from JSON.
* Federation: holds the HTTP client & server to talk to other servers. Does
replication to make sure there's nothing missing in the graph. Handles
reliability. Handles txns.
* Distributor: generic event bus. used for presence & typing only currently.
Notifier could be implemented using Distributor - so far we are only using for
things which actually /require/ dynamic pluggability however as it can
obfuscate the actual flow of control.
* Auth: helper singleton to say whether a given event is allowed to do a given
thing (TODO: put this on the diagram)
* State: helper singleton: does state conflict resolution. You give it an event
and it tells you if it actually updates the state or not, and annotates the
event up properly and handles merge conflict resolution.
* Storage: abstracts the storage engine.

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# Code Style
## Formatting tools
The Synapse codebase uses a number of code formatting tools in order to
quickly and automatically check for formatting (and sometimes logical)
errors in code.
The necessary tools are detailed below.
- **black**
The Synapse codebase uses [black](https://pypi.org/project/black/)
as an opinionated code formatter, ensuring all comitted code is
properly formatted.
First install `black` with:
pip install --upgrade black
Have `black` auto-format your code (it shouldn't change any
functionality) with:
black . --exclude="\.tox|build|env"
- **flake8**
`flake8` is a code checking tool. We require code to pass `flake8`
before being merged into the codebase.
Install `flake8` with:
pip install --upgrade flake8
Check all application and test code with:
flake8 synapse tests
- **isort**
`isort` ensures imports are nicely formatted, and can suggest and
auto-fix issues such as double-importing.
Install `isort` with:
pip install --upgrade isort
Auto-fix imports with:
isort -rc synapse tests
`-rc` means to recursively search the given directories.
It's worth noting that modern IDEs and text editors can run these tools
automatically on save. It may be worth looking into whether this
functionality is supported in your editor for a more convenient
development workflow. It is not, however, recommended to run `flake8` on
save as it takes a while and is very resource intensive.
## General rules
- **Naming**:
- Use camel case for class and type names
- Use underscores for functions and variables.
- **Docstrings**: should follow the [google code
style](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings).
This is so that we can generate documentation with
[sphinx](http://sphinxcontrib-napoleon.readthedocs.org/en/latest/).
See the
[examples](http://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html)
in the sphinx documentation.
- **Imports**:
- Imports should be sorted by `isort` as described above.
- Prefer to import classes and functions rather than packages or
modules.
Example:
from synapse.types import UserID
...
user_id = UserID(local, server)
is preferred over:
from synapse import types
...
user_id = types.UserID(local, server)
(or any other variant).
This goes against the advice in the Google style guide, but it
means that errors in the name are caught early (at import time).
- Avoid wildcard imports (`from synapse.types import *`) and
relative imports (`from .types import UserID`).
## Configuration file format
The [sample configuration file](./sample_config.yaml) acts as a
reference to Synapse's configuration options for server administrators.
Remember that many readers will be unfamiliar with YAML and server
administration in general, so that it is important that the file be as
easy to understand as possible, which includes following a consistent
format.
Some guidelines follow:
- Sections should be separated with a heading consisting of a single
line prefixed and suffixed with `##`. There should be **two** blank
lines before the section header, and **one** after.
- Each option should be listed in the file with the following format:
- A comment describing the setting. Each line of this comment
should be prefixed with a hash (`#`) and a space.
The comment should describe the default behaviour (ie, what
happens if the setting is omitted), as well as what the effect
will be if the setting is changed.
Often, the comment end with something like "uncomment the
following to <do action>".
- A line consisting of only `#`.
- A commented-out example setting, prefixed with only `#`.
For boolean (on/off) options, convention is that this example
should be the *opposite* to the default (so the comment will end
with "Uncomment the following to enable [or disable]
<feature>." For other options, the example should give some
non-default value which is likely to be useful to the reader.
- There should be a blank line between each option.
- Where several settings are grouped into a single dict, *avoid* the
convention where the whole block is commented out, resulting in
comment lines starting `# #`, as this is hard to read and confusing
to edit. Instead, leave the top-level config option uncommented, and
follow the conventions above for sub-options. Ensure that your code
correctly handles the top-level option being set to `None` (as it
will be if no sub-options are enabled).
- Lines should be wrapped at 80 characters.
Example:
## Frobnication ##
# The frobnicator will ensure that all requests are fully frobnicated.
# To enable it, uncomment the following.
#
#frobnicator_enabled: true
# By default, the frobnicator will frobnicate with the default frobber.
# The following will make it use an alternative frobber.
#
#frobincator_frobber: special_frobber
# Settings for the frobber
#
frobber:
# frobbing speed. Defaults to 1.
#
#speed: 10
# frobbing distance. Defaults to 1000.
#
#distance: 100
Note that the sample configuration is generated from the synapse code
and is maintained by a script, `scripts-dev/generate_sample_config`.
Making sure that the output from this script matches the desired format
is left as an exercise for the reader!

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@ -1,180 +0,0 @@
Code Style
==========
Formatting tools
----------------
The Synapse codebase uses a number of code formatting tools in order to
quickly and automatically check for formatting (and sometimes logical) errors
in code.
The necessary tools are detailed below.
- **black**
The Synapse codebase uses `black <https://pypi.org/project/black/>`_ as an
opinionated code formatter, ensuring all comitted code is properly
formatted.
First install ``black`` with::
pip install --upgrade black
Have ``black`` auto-format your code (it shouldn't change any functionality)
with::
black . --exclude="\.tox|build|env"
- **flake8**
``flake8`` is a code checking tool. We require code to pass ``flake8`` before being merged into the codebase.
Install ``flake8`` with::
pip install --upgrade flake8
Check all application and test code with::
flake8 synapse tests
- **isort**
``isort`` ensures imports are nicely formatted, and can suggest and
auto-fix issues such as double-importing.
Install ``isort`` with::
pip install --upgrade isort
Auto-fix imports with::
isort -rc synapse tests
``-rc`` means to recursively search the given directories.
It's worth noting that modern IDEs and text editors can run these tools
automatically on save. It may be worth looking into whether this
functionality is supported in your editor for a more convenient development
workflow. It is not, however, recommended to run ``flake8`` on save as it
takes a while and is very resource intensive.
General rules
-------------
- **Naming**:
- Use camel case for class and type names
- Use underscores for functions and variables.
- **Docstrings**: should follow the `google code style
<https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings>`_.
This is so that we can generate documentation with `sphinx
<http://sphinxcontrib-napoleon.readthedocs.org/en/latest/>`_. See the
`examples
<http://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html>`_
in the sphinx documentation.
- **Imports**:
- Imports should be sorted by ``isort`` as described above.
- Prefer to import classes and functions rather than packages or modules.
Example::
from synapse.types import UserID
...
user_id = UserID(local, server)
is preferred over::
from synapse import types
...
user_id = types.UserID(local, server)
(or any other variant).
This goes against the advice in the Google style guide, but it means that
errors in the name are caught early (at import time).
- Avoid wildcard imports (``from synapse.types import *``) and relative
imports (``from .types import UserID``).
Configuration file format
-------------------------
The `sample configuration file <./sample_config.yaml>`_ acts as a reference to
Synapse's configuration options for server administrators. Remember that many
readers will be unfamiliar with YAML and server administration in general, so
that it is important that the file be as easy to understand as possible, which
includes following a consistent format.
Some guidelines follow:
* Sections should be separated with a heading consisting of a single line
prefixed and suffixed with ``##``. There should be **two** blank lines
before the section header, and **one** after.
* Each option should be listed in the file with the following format:
* A comment describing the setting. Each line of this comment should be
prefixed with a hash (``#``) and a space.
The comment should describe the default behaviour (ie, what happens if
the setting is omitted), as well as what the effect will be if the
setting is changed.
Often, the comment end with something like "uncomment the
following to \<do action>".
* A line consisting of only ``#``.
* A commented-out example setting, prefixed with only ``#``.
For boolean (on/off) options, convention is that this example should be
the *opposite* to the default (so the comment will end with "Uncomment
the following to enable [or disable] \<feature\>." For other options,
the example should give some non-default value which is likely to be
useful to the reader.
* There should be a blank line between each option.
* Where several settings are grouped into a single dict, *avoid* the
convention where the whole block is commented out, resulting in comment
lines starting ``# #``, as this is hard to read and confusing to
edit. Instead, leave the top-level config option uncommented, and follow
the conventions above for sub-options. Ensure that your code correctly
handles the top-level option being set to ``None`` (as it will be if no
sub-options are enabled).
* Lines should be wrapped at 80 characters.
Example::
## Frobnication ##
# The frobnicator will ensure that all requests are fully frobnicated.
# To enable it, uncomment the following.
#
#frobnicator_enabled: true
# By default, the frobnicator will frobnicate with the default frobber.
# The following will make it use an alternative frobber.
#
#frobincator_frobber: special_frobber
# Settings for the frobber
#
frobber:
# frobbing speed. Defaults to 1.
#
#speed: 10
# frobbing distance. Defaults to 1000.
#
#distance: 100
Note that the sample configuration is generated from the synapse code and is
maintained by a script, ``scripts-dev/generate_sample_config``. Making sure
that the output from this script matches the desired format is left as an
exercise for the reader!

View File

@ -148,7 +148,7 @@ We no longer actively recommend against using a reverse proxy. Many admins will
find it easier to direct federation traffic to a reverse proxy and manage their
own TLS certificates, and this is a supported configuration.
See [reverse_proxy.rst](reverse_proxy.rst) for information on setting up a
See [reverse_proxy.md](reverse_proxy.md) for information on setting up a
reverse proxy.
#### Do I still need to give my TLS certificates to Synapse if I am using a reverse proxy?
@ -184,7 +184,7 @@ a complicated dance which requires connections in both directions).
Another common problem is that people on other servers can't join rooms that
you invite them to. This can be caused by an incorrectly-configured reverse
proxy: see [reverse_proxy.rst](<reverse_proxy.rst>) for instructions on how to correctly
proxy: see [reverse_proxy.md](<reverse_proxy.md>) for instructions on how to correctly
configure a reverse proxy.
## Running a Demo Federation of Synapses

494
docs/log_contexts.md Normal file
View File

@ -0,0 +1,494 @@
# Log Contexts
To help track the processing of individual requests, synapse uses a
'`log context`' to track which request it is handling at any given
moment. This is done via a thread-local variable; a `logging.Filter` is
then used to fish the information back out of the thread-local variable
and add it to each log record.
Logcontexts are also used for CPU and database accounting, so that we
can track which requests were responsible for high CPU use or database
activity.
The `synapse.logging.context` module provides a facilities for managing
the current log context (as well as providing the `LoggingContextFilter`
class).
Deferreds make the whole thing complicated, so this document describes
how it all works, and how to write code which follows the rules.
##Logcontexts without Deferreds
In the absence of any Deferred voodoo, things are simple enough. As with
any code of this nature, the rule is that our function should leave
things as it found them:
```python
from synapse.logging import context # omitted from future snippets
def handle_request(request_id):
request_context = context.LoggingContext()
calling_context = context.LoggingContext.current_context()
context.LoggingContext.set_current_context(request_context)
try:
request_context.request = request_id
do_request_handling()
logger.debug("finished")
finally:
context.LoggingContext.set_current_context(calling_context)
def do_request_handling():
logger.debug("phew") # this will be logged against request_id
```
LoggingContext implements the context management methods, so the above
can be written much more succinctly as:
```python
def handle_request(request_id):
with context.LoggingContext() as request_context:
request_context.request = request_id
do_request_handling()
logger.debug("finished")
def do_request_handling():
logger.debug("phew")
```
## Using logcontexts with Deferreds
Deferreds --- and in particular, `defer.inlineCallbacks` --- break the
linear flow of code so that there is no longer a single entry point
where we should set the logcontext and a single exit point where we
should remove it.
Consider the example above, where `do_request_handling` needs to do some
blocking operation, and returns a deferred:
```python
@defer.inlineCallbacks
def handle_request(request_id):
with context.LoggingContext() as request_context:
request_context.request = request_id
yield do_request_handling()
logger.debug("finished")
```
In the above flow:
- The logcontext is set
- `do_request_handling` is called, and returns a deferred
- `handle_request` yields the deferred
- The `inlineCallbacks` wrapper of `handle_request` returns a deferred
So we have stopped processing the request (and will probably go on to
start processing the next), without clearing the logcontext.
To circumvent this problem, synapse code assumes that, wherever you have
a deferred, you will want to yield on it. To that end, whereever
functions return a deferred, we adopt the following conventions:
**Rules for functions returning deferreds:**
> - If the deferred is already complete, the function returns with the
> same logcontext it started with.
> - If the deferred is incomplete, the function clears the logcontext
> before returning; when the deferred completes, it restores the
> logcontext before running any callbacks.
That sounds complicated, but actually it means a lot of code (including
the example above) "just works". There are two cases:
- If `do_request_handling` returns a completed deferred, then the
logcontext will still be in place. In this case, execution will
continue immediately after the `yield`; the "finished" line will
be logged against the right context, and the `with` block restores
the original context before we return to the caller.
- If the returned deferred is incomplete, `do_request_handling` clears
the logcontext before returning. The logcontext is therefore clear
when `handle_request` yields the deferred. At that point, the
`inlineCallbacks` wrapper adds a callback to the deferred, and
returns another (incomplete) deferred to the caller, and it is safe
to begin processing the next request.
Once `do_request_handling`'s deferred completes, it will reinstate
the logcontext, before running the callback added by the
`inlineCallbacks` wrapper. That callback runs the second half of
`handle_request`, so again the "finished" line will be logged
against the right context, and the `with` block restores the
original context.
As an aside, it's worth noting that `handle_request` follows our rules
-though that only matters if the caller has its own logcontext which it
cares about.
The following sections describe pitfalls and helpful patterns when
implementing these rules.
Always yield your deferreds
---------------------------
Whenever you get a deferred back from a function, you should `yield` on
it as soon as possible. (Returning it directly to your caller is ok too,
if you're not doing `inlineCallbacks`.) Do not pass go; do not do any
logging; do not call any other functions.
```python
@defer.inlineCallbacks
def fun():
logger.debug("starting")
yield do_some_stuff() # just like this
d = more_stuff()
result = yield d # also fine, of course
return result
def nonInlineCallbacksFun():
logger.debug("just a wrapper really")
return do_some_stuff() # this is ok too - the caller will yield on
# it anyway.
```
Provided this pattern is followed all the way back up to the callchain
to where the logcontext was set, this will make things work out ok:
provided `do_some_stuff` and `more_stuff` follow the rules above, then
so will `fun` (as wrapped by `inlineCallbacks`) and
`nonInlineCallbacksFun`.
It's all too easy to forget to `yield`: for instance if we forgot that
`do_some_stuff` returned a deferred, we might plough on regardless. This
leads to a mess; it will probably work itself out eventually, but not
before a load of stuff has been logged against the wrong context.
(Normally, other things will break, more obviously, if you forget to
`yield`, so this tends not to be a major problem in practice.)
Of course sometimes you need to do something a bit fancier with your
Deferreds - not all code follows the linear A-then-B-then-C pattern.
Notes on implementing more complex patterns are in later sections.
## Where you create a new Deferred, make it follow the rules
Most of the time, a Deferred comes from another synapse function.
Sometimes, though, we need to make up a new Deferred, or we get a
Deferred back from external code. We need to make it follow our rules.
The easy way to do it is with a combination of `defer.inlineCallbacks`,
and `context.PreserveLoggingContext`. Suppose we want to implement
`sleep`, which returns a deferred which will run its callbacks after a
given number of seconds. That might look like:
```python
# not a logcontext-rules-compliant function
def get_sleep_deferred(seconds):
d = defer.Deferred()
reactor.callLater(seconds, d.callback, None)
return d
```
That doesn't follow the rules, but we can fix it by wrapping it with
`PreserveLoggingContext` and `yield` ing on it:
```python
@defer.inlineCallbacks
def sleep(seconds):
with PreserveLoggingContext():
yield get_sleep_deferred(seconds)
```
This technique works equally for external functions which return
deferreds, or deferreds we have made ourselves.
You can also use `context.make_deferred_yieldable`, which just does the
boilerplate for you, so the above could be written:
```python
def sleep(seconds):
return context.make_deferred_yieldable(get_sleep_deferred(seconds))
```
## Fire-and-forget
Sometimes you want to fire off a chain of execution, but not wait for
its result. That might look a bit like this:
```python
@defer.inlineCallbacks
def do_request_handling():
yield foreground_operation()
# *don't* do this
background_operation()
logger.debug("Request handling complete")
@defer.inlineCallbacks
def background_operation():
yield first_background_step()
logger.debug("Completed first step")
yield second_background_step()
logger.debug("Completed second step")
```
The above code does a couple of steps in the background after
`do_request_handling` has finished. The log lines are still logged
against the `request_context` logcontext, which may or may not be
desirable. There are two big problems with the above, however. The first
problem is that, if `background_operation` returns an incomplete
Deferred, it will expect its caller to `yield` immediately, so will have
cleared the logcontext. In this example, that means that 'Request
handling complete' will be logged without any context.
The second problem, which is potentially even worse, is that when the
Deferred returned by `background_operation` completes, it will restore
the original logcontext. There is nothing waiting on that Deferred, so
the logcontext will leak into the reactor and possibly get attached to
some arbitrary future operation.
There are two potential solutions to this.
One option is to surround the call to `background_operation` with a
`PreserveLoggingContext` call. That will reset the logcontext before
starting `background_operation` (so the context restored when the
deferred completes will be the empty logcontext), and will restore the
current logcontext before continuing the foreground process:
```python
@defer.inlineCallbacks
def do_request_handling():
yield foreground_operation()
# start background_operation off in the empty logcontext, to
# avoid leaking the current context into the reactor.
with PreserveLoggingContext():
background_operation()
# this will now be logged against the request context
logger.debug("Request handling complete")
```
Obviously that option means that the operations done in
`background_operation` would be not be logged against a logcontext
(though that might be fixed by setting a different logcontext via a
`with LoggingContext(...)` in `background_operation`).
The second option is to use `context.run_in_background`, which wraps a
function so that it doesn't reset the logcontext even when it returns
an incomplete deferred, and adds a callback to the returned deferred to
reset the logcontext. In other words, it turns a function that follows
the Synapse rules about logcontexts and Deferreds into one which behaves
more like an external function --- the opposite operation to that
described in the previous section. It can be used like this:
```python
@defer.inlineCallbacks
def do_request_handling():
yield foreground_operation()
context.run_in_background(background_operation)
# this will now be logged against the request context
logger.debug("Request handling complete")
```
## Passing synapse deferreds into third-party functions
A typical example of this is where we want to collect together two or
more deferred via `defer.gatherResults`:
```python
d1 = operation1()
d2 = operation2()
d3 = defer.gatherResults([d1, d2])
```
This is really a variation of the fire-and-forget problem above, in that
we are firing off `d1` and `d2` without yielding on them. The difference
is that we now have third-party code attached to their callbacks. Anyway
either technique given in the [Fire-and-forget](#fire-and-forget)
section will work.
Of course, the new Deferred returned by `gatherResults` needs to be
wrapped in order to make it follow the logcontext rules before we can
yield it, as described in [Where you create a new Deferred, make it
follow the
rules](#where-you-create-a-new-deferred-make-it-follow-the-rules).
So, option one: reset the logcontext before starting the operations to
be gathered:
```python
@defer.inlineCallbacks
def do_request_handling():
with PreserveLoggingContext():
d1 = operation1()
d2 = operation2()
result = yield defer.gatherResults([d1, d2])
```
In this case particularly, though, option two, of using
`context.preserve_fn` almost certainly makes more sense, so that
`operation1` and `operation2` are both logged against the original
logcontext. This looks like:
```python
@defer.inlineCallbacks
def do_request_handling():
d1 = context.preserve_fn(operation1)()
d2 = context.preserve_fn(operation2)()
with PreserveLoggingContext():
result = yield defer.gatherResults([d1, d2])
```
## Was all this really necessary?
The conventions used work fine for a linear flow where everything
happens in series via `defer.inlineCallbacks` and `yield`, but are
certainly tricky to follow for any more exotic flows. It's hard not to
wonder if we could have done something else.
We're not going to rewrite Synapse now, so the following is entirely of
academic interest, but I'd like to record some thoughts on an
alternative approach.
I briefly prototyped some code following an alternative set of rules. I
think it would work, but I certainly didn't get as far as thinking how
it would interact with concepts as complicated as the cache descriptors.
My alternative rules were:
- functions always preserve the logcontext of their caller, whether or
not they are returning a Deferred.
- Deferreds returned by synapse functions run their callbacks in the
same context as the function was orignally called in.
The main point of this scheme is that everywhere that sets the
logcontext is responsible for clearing it before returning control to
the reactor.
So, for example, if you were the function which started a
`with LoggingContext` block, you wouldn't `yield` within it --- instead
you'd start off the background process, and then leave the `with` block
to wait for it:
```python
def handle_request(request_id):
with context.LoggingContext() as request_context:
request_context.request = request_id
d = do_request_handling()
def cb(r):
logger.debug("finished")
d.addCallback(cb)
return d
```
(in general, mixing `with LoggingContext` blocks and
`defer.inlineCallbacks` in the same function leads to slighly
counter-intuitive code, under this scheme).
Because we leave the original `with` block as soon as the Deferred is
returned (as opposed to waiting for it to be resolved, as we do today),
the logcontext is cleared before control passes back to the reactor; so
if there is some code within `do_request_handling` which needs to wait
for a Deferred to complete, there is no need for it to worry about
clearing the logcontext before doing so:
```python
def handle_request():
r = do_some_stuff()
r.addCallback(do_some_more_stuff)
return r
```
--- and provided `do_some_stuff` follows the rules of returning a
Deferred which runs its callbacks in the original logcontext, all is
happy.
The business of a Deferred which runs its callbacks in the original
logcontext isn't hard to achieve --- we have it today, in the shape of
`context._PreservingContextDeferred`:
```python
def do_some_stuff():
deferred = do_some_io()
pcd = _PreservingContextDeferred(LoggingContext.current_context())
deferred.chainDeferred(pcd)
return pcd
```
It turns out that, thanks to the way that Deferreds chain together, we
automatically get the property of a context-preserving deferred with
`defer.inlineCallbacks`, provided the final Defered the function
`yields` on has that property. So we can just write:
```python
@defer.inlineCallbacks
def handle_request():
yield do_some_stuff()
yield do_some_more_stuff()
```
To conclude: I think this scheme would have worked equally well, with
less danger of messing it up, and probably made some more esoteric code
easier to write. But again --- changing the conventions of the entire
Synapse codebase is not a sensible option for the marginal improvement
offered.
## A note on garbage-collection of Deferred chains
It turns out that our logcontext rules do not play nicely with Deferred
chains which get orphaned and garbage-collected.
Imagine we have some code that looks like this:
```python
listener_queue = []
def on_something_interesting():
for d in listener_queue:
d.callback("foo")
@defer.inlineCallbacks
def await_something_interesting():
new_deferred = defer.Deferred()
listener_queue.append(new_deferred)
with PreserveLoggingContext():
yield new_deferred
```
Obviously, the idea here is that we have a bunch of things which are
waiting for an event. (It's just an example of the problem here, but a
relatively common one.)
Now let's imagine two further things happen. First of all, whatever was
waiting for the interesting thing goes away. (Perhaps the request times
out, or something *even more* interesting happens.)
Secondly, let's suppose that we decide that the interesting thing is
never going to happen, and we reset the listener queue:
```python
def reset_listener_queue():
listener_queue.clear()
```
So, both ends of the deferred chain have now dropped their references,
and the deferred chain is now orphaned, and will be garbage-collected at
some point. Note that `await_something_interesting` is a generator
function, and when Python garbage-collects generator functions, it gives
them a chance to clean up by making the `yield` raise a `GeneratorExit`
exception. In our case, that means that the `__exit__` handler of
`PreserveLoggingContext` will carefully restore the request context, but
there is now nothing waiting for its return, so the request context is
never cleared.
To reiterate, this problem only arises when *both* ends of a deferred
chain are dropped. Dropping the the reference to a deferred you're
supposed to be calling is probably bad practice, so this doesn't
actually happen too much. Unfortunately, when it does happen, it will
lead to leaked logcontexts which are incredibly hard to track down.

View File

@ -1,498 +0,0 @@
Log Contexts
============
.. contents::
To help track the processing of individual requests, synapse uses a
'log context' to track which request it is handling at any given moment. This
is done via a thread-local variable; a ``logging.Filter`` is then used to fish
the information back out of the thread-local variable and add it to each log
record.
Logcontexts are also used for CPU and database accounting, so that we can track
which requests were responsible for high CPU use or database activity.
The ``synapse.logging.context`` module provides a facilities for managing the
current log context (as well as providing the ``LoggingContextFilter`` class).
Deferreds make the whole thing complicated, so this document describes how it
all works, and how to write code which follows the rules.
Logcontexts without Deferreds
-----------------------------
In the absence of any Deferred voodoo, things are simple enough. As with any
code of this nature, the rule is that our function should leave things as it
found them:
.. code:: python
from synapse.logging import context # omitted from future snippets
def handle_request(request_id):
request_context = context.LoggingContext()
calling_context = context.LoggingContext.current_context()
context.LoggingContext.set_current_context(request_context)
try:
request_context.request = request_id
do_request_handling()
logger.debug("finished")
finally:
context.LoggingContext.set_current_context(calling_context)
def do_request_handling():
logger.debug("phew") # this will be logged against request_id
LoggingContext implements the context management methods, so the above can be
written much more succinctly as:
.. code:: python
def handle_request(request_id):
with context.LoggingContext() as request_context:
request_context.request = request_id
do_request_handling()
logger.debug("finished")
def do_request_handling():
logger.debug("phew")
Using logcontexts with Deferreds
--------------------------------
Deferreds — and in particular, ``defer.inlineCallbacks`` — break
the linear flow of code so that there is no longer a single entry point where
we should set the logcontext and a single exit point where we should remove it.
Consider the example above, where ``do_request_handling`` needs to do some
blocking operation, and returns a deferred:
.. code:: python
@defer.inlineCallbacks
def handle_request(request_id):
with context.LoggingContext() as request_context:
request_context.request = request_id
yield do_request_handling()
logger.debug("finished")
In the above flow:
* The logcontext is set
* ``do_request_handling`` is called, and returns a deferred
* ``handle_request`` yields the deferred
* The ``inlineCallbacks`` wrapper of ``handle_request`` returns a deferred
So we have stopped processing the request (and will probably go on to start
processing the next), without clearing the logcontext.
To circumvent this problem, synapse code assumes that, wherever you have a
deferred, you will want to yield on it. To that end, whereever functions return
a deferred, we adopt the following conventions:
**Rules for functions returning deferreds:**
* If the deferred is already complete, the function returns with the same
logcontext it started with.
* If the deferred is incomplete, the function clears the logcontext before
returning; when the deferred completes, it restores the logcontext before
running any callbacks.
That sounds complicated, but actually it means a lot of code (including the
example above) "just works". There are two cases:
* If ``do_request_handling`` returns a completed deferred, then the logcontext
will still be in place. In this case, execution will continue immediately
after the ``yield``; the "finished" line will be logged against the right
context, and the ``with`` block restores the original context before we
return to the caller.
* If the returned deferred is incomplete, ``do_request_handling`` clears the
logcontext before returning. The logcontext is therefore clear when
``handle_request`` yields the deferred. At that point, the ``inlineCallbacks``
wrapper adds a callback to the deferred, and returns another (incomplete)
deferred to the caller, and it is safe to begin processing the next request.
Once ``do_request_handling``'s deferred completes, it will reinstate the
logcontext, before running the callback added by the ``inlineCallbacks``
wrapper. That callback runs the second half of ``handle_request``, so again
the "finished" line will be logged against the right
context, and the ``with`` block restores the original context.
As an aside, it's worth noting that ``handle_request`` follows our rules -
though that only matters if the caller has its own logcontext which it cares
about.
The following sections describe pitfalls and helpful patterns when implementing
these rules.
Always yield your deferreds
---------------------------
Whenever you get a deferred back from a function, you should ``yield`` on it
as soon as possible. (Returning it directly to your caller is ok too, if you're
not doing ``inlineCallbacks``.) Do not pass go; do not do any logging; do not
call any other functions.
.. code:: python
@defer.inlineCallbacks
def fun():
logger.debug("starting")
yield do_some_stuff() # just like this
d = more_stuff()
result = yield d # also fine, of course
return result
def nonInlineCallbacksFun():
logger.debug("just a wrapper really")
return do_some_stuff() # this is ok too - the caller will yield on
# it anyway.
Provided this pattern is followed all the way back up to the callchain to where
the logcontext was set, this will make things work out ok: provided
``do_some_stuff`` and ``more_stuff`` follow the rules above, then so will
``fun`` (as wrapped by ``inlineCallbacks``) and ``nonInlineCallbacksFun``.
It's all too easy to forget to ``yield``: for instance if we forgot that
``do_some_stuff`` returned a deferred, we might plough on regardless. This
leads to a mess; it will probably work itself out eventually, but not before
a load of stuff has been logged against the wrong context. (Normally, other
things will break, more obviously, if you forget to ``yield``, so this tends
not to be a major problem in practice.)
Of course sometimes you need to do something a bit fancier with your Deferreds
- not all code follows the linear A-then-B-then-C pattern. Notes on
implementing more complex patterns are in later sections.
Where you create a new Deferred, make it follow the rules
---------------------------------------------------------
Most of the time, a Deferred comes from another synapse function. Sometimes,
though, we need to make up a new Deferred, or we get a Deferred back from
external code. We need to make it follow our rules.
The easy way to do it is with a combination of ``defer.inlineCallbacks``, and
``context.PreserveLoggingContext``. Suppose we want to implement ``sleep``,
which returns a deferred which will run its callbacks after a given number of
seconds. That might look like:
.. code:: python
# not a logcontext-rules-compliant function
def get_sleep_deferred(seconds):
d = defer.Deferred()
reactor.callLater(seconds, d.callback, None)
return d
That doesn't follow the rules, but we can fix it by wrapping it with
``PreserveLoggingContext`` and ``yield`` ing on it:
.. code:: python
@defer.inlineCallbacks
def sleep(seconds):
with PreserveLoggingContext():
yield get_sleep_deferred(seconds)
This technique works equally for external functions which return deferreds,
or deferreds we have made ourselves.
You can also use ``context.make_deferred_yieldable``, which just does the
boilerplate for you, so the above could be written:
.. code:: python
def sleep(seconds):
return context.make_deferred_yieldable(get_sleep_deferred(seconds))
Fire-and-forget
---------------
Sometimes you want to fire off a chain of execution, but not wait for its
result. That might look a bit like this:
.. code:: python
@defer.inlineCallbacks
def do_request_handling():
yield foreground_operation()
# *don't* do this
background_operation()
logger.debug("Request handling complete")
@defer.inlineCallbacks
def background_operation():
yield first_background_step()
logger.debug("Completed first step")
yield second_background_step()
logger.debug("Completed second step")
The above code does a couple of steps in the background after
``do_request_handling`` has finished. The log lines are still logged against
the ``request_context`` logcontext, which may or may not be desirable. There
are two big problems with the above, however. The first problem is that, if
``background_operation`` returns an incomplete Deferred, it will expect its
caller to ``yield`` immediately, so will have cleared the logcontext. In this
example, that means that 'Request handling complete' will be logged without any
context.
The second problem, which is potentially even worse, is that when the Deferred
returned by ``background_operation`` completes, it will restore the original
logcontext. There is nothing waiting on that Deferred, so the logcontext will
leak into the reactor and possibly get attached to some arbitrary future
operation.
There are two potential solutions to this.
One option is to surround the call to ``background_operation`` with a
``PreserveLoggingContext`` call. That will reset the logcontext before
starting ``background_operation`` (so the context restored when the deferred
completes will be the empty logcontext), and will restore the current
logcontext before continuing the foreground process:
.. code:: python
@defer.inlineCallbacks
def do_request_handling():
yield foreground_operation()
# start background_operation off in the empty logcontext, to
# avoid leaking the current context into the reactor.
with PreserveLoggingContext():
background_operation()
# this will now be logged against the request context
logger.debug("Request handling complete")
Obviously that option means that the operations done in
``background_operation`` would be not be logged against a logcontext (though
that might be fixed by setting a different logcontext via a ``with
LoggingContext(...)`` in ``background_operation``).
The second option is to use ``context.run_in_background``, which wraps a
function so that it doesn't reset the logcontext even when it returns an
incomplete deferred, and adds a callback to the returned deferred to reset the
logcontext. In other words, it turns a function that follows the Synapse rules
about logcontexts and Deferreds into one which behaves more like an external
function — the opposite operation to that described in the previous section.
It can be used like this:
.. code:: python
@defer.inlineCallbacks
def do_request_handling():
yield foreground_operation()
context.run_in_background(background_operation)
# this will now be logged against the request context
logger.debug("Request handling complete")
Passing synapse deferreds into third-party functions
----------------------------------------------------
A typical example of this is where we want to collect together two or more
deferred via ``defer.gatherResults``:
.. code:: python
d1 = operation1()
d2 = operation2()
d3 = defer.gatherResults([d1, d2])
This is really a variation of the fire-and-forget problem above, in that we are
firing off ``d1`` and ``d2`` without yielding on them. The difference
is that we now have third-party code attached to their callbacks. Anyway either
technique given in the `Fire-and-forget`_ section will work.
Of course, the new Deferred returned by ``gatherResults`` needs to be wrapped
in order to make it follow the logcontext rules before we can yield it, as
described in `Where you create a new Deferred, make it follow the rules`_.
So, option one: reset the logcontext before starting the operations to be
gathered:
.. code:: python
@defer.inlineCallbacks
def do_request_handling():
with PreserveLoggingContext():
d1 = operation1()
d2 = operation2()
result = yield defer.gatherResults([d1, d2])
In this case particularly, though, option two, of using
``context.preserve_fn`` almost certainly makes more sense, so that
``operation1`` and ``operation2`` are both logged against the original
logcontext. This looks like:
.. code:: python
@defer.inlineCallbacks
def do_request_handling():
d1 = context.preserve_fn(operation1)()
d2 = context.preserve_fn(operation2)()
with PreserveLoggingContext():
result = yield defer.gatherResults([d1, d2])
Was all this really necessary?
------------------------------
The conventions used work fine for a linear flow where everything happens in
series via ``defer.inlineCallbacks`` and ``yield``, but are certainly tricky to
follow for any more exotic flows. It's hard not to wonder if we could have done
something else.
We're not going to rewrite Synapse now, so the following is entirely of
academic interest, but I'd like to record some thoughts on an alternative
approach.
I briefly prototyped some code following an alternative set of rules. I think
it would work, but I certainly didn't get as far as thinking how it would
interact with concepts as complicated as the cache descriptors.
My alternative rules were:
* functions always preserve the logcontext of their caller, whether or not they
are returning a Deferred.
* Deferreds returned by synapse functions run their callbacks in the same
context as the function was orignally called in.
The main point of this scheme is that everywhere that sets the logcontext is
responsible for clearing it before returning control to the reactor.
So, for example, if you were the function which started a ``with
LoggingContext`` block, you wouldn't ``yield`` within it — instead you'd start
off the background process, and then leave the ``with`` block to wait for it:
.. code:: python
def handle_request(request_id):
with context.LoggingContext() as request_context:
request_context.request = request_id
d = do_request_handling()
def cb(r):
logger.debug("finished")
d.addCallback(cb)
return d
(in general, mixing ``with LoggingContext`` blocks and
``defer.inlineCallbacks`` in the same function leads to slighly
counter-intuitive code, under this scheme).
Because we leave the original ``with`` block as soon as the Deferred is
returned (as opposed to waiting for it to be resolved, as we do today), the
logcontext is cleared before control passes back to the reactor; so if there is
some code within ``do_request_handling`` which needs to wait for a Deferred to
complete, there is no need for it to worry about clearing the logcontext before
doing so:
.. code:: python
def handle_request():
r = do_some_stuff()
r.addCallback(do_some_more_stuff)
return r
— and provided ``do_some_stuff`` follows the rules of returning a Deferred which
runs its callbacks in the original logcontext, all is happy.
The business of a Deferred which runs its callbacks in the original logcontext
isn't hard to achieve — we have it today, in the shape of
``context._PreservingContextDeferred``:
.. code:: python
def do_some_stuff():
deferred = do_some_io()
pcd = _PreservingContextDeferred(LoggingContext.current_context())
deferred.chainDeferred(pcd)
return pcd
It turns out that, thanks to the way that Deferreds chain together, we
automatically get the property of a context-preserving deferred with
``defer.inlineCallbacks``, provided the final Defered the function ``yields``
on has that property. So we can just write:
.. code:: python
@defer.inlineCallbacks
def handle_request():
yield do_some_stuff()
yield do_some_more_stuff()
To conclude: I think this scheme would have worked equally well, with less
danger of messing it up, and probably made some more esoteric code easier to
write. But again — changing the conventions of the entire Synapse codebase is
not a sensible option for the marginal improvement offered.
A note on garbage-collection of Deferred chains
-----------------------------------------------
It turns out that our logcontext rules do not play nicely with Deferred
chains which get orphaned and garbage-collected.
Imagine we have some code that looks like this:
.. code:: python
listener_queue = []
def on_something_interesting():
for d in listener_queue:
d.callback("foo")
@defer.inlineCallbacks
def await_something_interesting():
new_deferred = defer.Deferred()
listener_queue.append(new_deferred)
with PreserveLoggingContext():
yield new_deferred
Obviously, the idea here is that we have a bunch of things which are waiting
for an event. (It's just an example of the problem here, but a relatively
common one.)
Now let's imagine two further things happen. First of all, whatever was
waiting for the interesting thing goes away. (Perhaps the request times out,
or something *even more* interesting happens.)
Secondly, let's suppose that we decide that the interesting thing is never
going to happen, and we reset the listener queue:
.. code:: python
def reset_listener_queue():
listener_queue.clear()
So, both ends of the deferred chain have now dropped their references, and the
deferred chain is now orphaned, and will be garbage-collected at some point.
Note that ``await_something_interesting`` is a generator function, and when
Python garbage-collects generator functions, it gives them a chance to clean
up by making the ``yield`` raise a ``GeneratorExit`` exception. In our case,
that means that the ``__exit__`` handler of ``PreserveLoggingContext`` will
carefully restore the request context, but there is now nothing waiting for
its return, so the request context is never cleared.
To reiterate, this problem only arises when *both* ends of a deferred chain
are dropped. Dropping the the reference to a deferred you're supposed to be
calling is probably bad practice, so this doesn't actually happen too much.
Unfortunately, when it does happen, it will lead to leaked logcontexts which
are incredibly hard to track down.

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# Media Repository
*Synapse implementation-specific details for the media repository*
The media repository is where attachments and avatar photos are stored.
It stores attachment content and thumbnails for media uploaded by local users.
It caches attachment content and thumbnails for media uploaded by remote users.
## Storage
Each item of media is assigned a `media_id` when it is uploaded.
The `media_id` is a randomly chosen, URL safe 24 character string.
Metadata such as the MIME type, upload time and length are stored in the
sqlite3 database indexed by `media_id`.
Content is stored on the filesystem under a `"local_content"` directory.
Thumbnails are stored under a `"local_thumbnails"` directory.
The item with `media_id` `"aabbccccccccdddddddddddd"` is stored under
`"local_content/aa/bb/ccccccccdddddddddddd"`. Its thumbnail with width
`128` and height `96` and type `"image/jpeg"` is stored under
`"local_thumbnails/aa/bb/ccccccccdddddddddddd/128-96-image-jpeg"`
Remote content is cached under `"remote_content"` directory. Each item of
remote content is assigned a local `"filesystem_id"` to ensure that the
directory structure `"remote_content/server_name/aa/bb/ccccccccdddddddddddd"`
is appropriate. Thumbnails for remote content are stored under
`"remote_thumbnails/server_name/..."`

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Media Repository
================
*Synapse implementation-specific details for the media repository*
The media repository is where attachments and avatar photos are stored.
It stores attachment content and thumbnails for media uploaded by local users.
It caches attachment content and thumbnails for media uploaded by remote users.
Storage
-------
Each item of media is assigned a ``media_id`` when it is uploaded.
The ``media_id`` is a randomly chosen, URL safe 24 character string.
Metadata such as the MIME type, upload time and length are stored in the
sqlite3 database indexed by ``media_id``.
Content is stored on the filesystem under a ``"local_content"`` directory.
Thumbnails are stored under a ``"local_thumbnails"`` directory.
The item with ``media_id`` ``"aabbccccccccdddddddddddd"`` is stored under
``"local_content/aa/bb/ccccccccdddddddddddd"``. Its thumbnail with width
``128`` and height ``96`` and type ``"image/jpeg"`` is stored under
``"local_thumbnails/aa/bb/ccccccccdddddddddddd/128-96-image-jpeg"``
Remote content is cached under ``"remote_content"`` directory. Each item of
remote content is assigned a local "``filesystem_id``" to ensure that the
directory structure ``"remote_content/server_name/aa/bb/ccccccccdddddddddddd"``
is appropriate. Thumbnails for remote content are stored under
``"remote_thumbnails/server_name/..."``

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# How to monitor Synapse metrics using Prometheus
1. Install Prometheus:
Follow instructions at
<http://prometheus.io/docs/introduction/install/>
1. Enable Synapse metrics:
There are two methods of enabling metrics in Synapse.
The first serves the metrics as a part of the usual web server and
can be enabled by adding the \"metrics\" resource to the existing
listener as such:
resources:
- names:
- client
- metrics
This provides a simple way of adding metrics to your Synapse
installation, and serves under `/_synapse/metrics`. If you do not
wish your metrics be publicly exposed, you will need to either
filter it out at your load balancer, or use the second method.
The second method runs the metrics server on a different port, in a
different thread to Synapse. This can make it more resilient to
heavy load meaning metrics cannot be retrieved, and can be exposed
to just internal networks easier. The served metrics are available
over HTTP only, and will be available at `/`.
Add a new listener to homeserver.yaml:
listeners:
- type: metrics
port: 9000
bind_addresses:
- '0.0.0.0'
For both options, you will need to ensure that `enable_metrics` is
set to `True`.
1. Restart Synapse.
1. Add a Prometheus target for Synapse.
It needs to set the `metrics_path` to a non-default value (under
`scrape_configs`):
- job_name: "synapse"
metrics_path: "/_synapse/metrics"
static_configs:
- targets: ["my.server.here:port"]
where `my.server.here` is the IP address of Synapse, and `port` is
the listener port configured with the `metrics` resource.
If your prometheus is older than 1.5.2, you will need to replace
`static_configs` in the above with `target_groups`.
1. Restart Prometheus.
## Renaming of metrics & deprecation of old names in 1.2
Synapse 1.2 updates the Prometheus metrics to match the naming
convention of the upstream `prometheus_client`. The old names are
considered deprecated and will be removed in a future version of
Synapse.
| New Name | Old Name |
| ---------------------------------------------------------------------------- | ---------------------------------------------------------------------- |
| python_gc_objects_collected_total | python_gc_objects_collected |
| python_gc_objects_uncollectable_total | python_gc_objects_uncollectable |
| python_gc_collections_total | python_gc_collections |
| process_cpu_seconds_total | process_cpu_seconds |
| synapse_federation_client_sent_transactions_total | synapse_federation_client_sent_transactions |
| synapse_federation_client_events_processed_total | synapse_federation_client_events_processed |
| synapse_event_processing_loop_count_total | synapse_event_processing_loop_count |
| synapse_event_processing_loop_room_count_total | synapse_event_processing_loop_room_count |
| synapse_util_metrics_block_count_total | synapse_util_metrics_block_count |
| synapse_util_metrics_block_time_seconds_total | synapse_util_metrics_block_time_seconds |
| synapse_util_metrics_block_ru_utime_seconds_total | synapse_util_metrics_block_ru_utime_seconds |
| synapse_util_metrics_block_ru_stime_seconds_total | synapse_util_metrics_block_ru_stime_seconds |
| synapse_util_metrics_block_db_txn_count_total | synapse_util_metrics_block_db_txn_count |
| synapse_util_metrics_block_db_txn_duration_seconds_total | synapse_util_metrics_block_db_txn_duration_seconds |
| synapse_util_metrics_block_db_sched_duration_seconds_total | synapse_util_metrics_block_db_sched_duration_seconds |
| synapse_background_process_start_count_total | synapse_background_process_start_count |
| synapse_background_process_ru_utime_seconds_total | synapse_background_process_ru_utime_seconds |
| synapse_background_process_ru_stime_seconds_total | synapse_background_process_ru_stime_seconds |
| synapse_background_process_db_txn_count_total | synapse_background_process_db_txn_count |
| synapse_background_process_db_txn_duration_seconds_total | synapse_background_process_db_txn_duration_seconds |
| synapse_background_process_db_sched_duration_seconds_total | synapse_background_process_db_sched_duration_seconds |
| synapse_storage_events_persisted_events_total | synapse_storage_events_persisted_events |
| synapse_storage_events_persisted_events_sep_total | synapse_storage_events_persisted_events_sep |
| synapse_storage_events_state_delta_total | synapse_storage_events_state_delta |
| synapse_storage_events_state_delta_single_event_total | synapse_storage_events_state_delta_single_event |
| synapse_storage_events_state_delta_reuse_delta_total | synapse_storage_events_state_delta_reuse_delta |
| synapse_federation_server_received_pdus_total | synapse_federation_server_received_pdus |
| synapse_federation_server_received_edus_total | synapse_federation_server_received_edus |
| synapse_handler_presence_notified_presence_total | synapse_handler_presence_notified_presence |
| synapse_handler_presence_federation_presence_out_total | synapse_handler_presence_federation_presence_out |
| synapse_handler_presence_presence_updates_total | synapse_handler_presence_presence_updates |
| synapse_handler_presence_timers_fired_total | synapse_handler_presence_timers_fired |
| synapse_handler_presence_federation_presence_total | synapse_handler_presence_federation_presence |
| synapse_handler_presence_bump_active_time_total | synapse_handler_presence_bump_active_time |
| synapse_federation_client_sent_edus_total | synapse_federation_client_sent_edus |
| synapse_federation_client_sent_pdu_destinations_count_total | synapse_federation_client_sent_pdu_destinations:count |
| synapse_federation_client_sent_pdu_destinations_total | synapse_federation_client_sent_pdu_destinations:total |
| synapse_handlers_appservice_events_processed_total | synapse_handlers_appservice_events_processed |
| synapse_notifier_notified_events_total | synapse_notifier_notified_events |
| synapse_push_bulk_push_rule_evaluator_push_rules_invalidation_counter_total | synapse_push_bulk_push_rule_evaluator_push_rules_invalidation_counter |
| synapse_push_bulk_push_rule_evaluator_push_rules_state_size_counter_total | synapse_push_bulk_push_rule_evaluator_push_rules_state_size_counter |
| synapse_http_httppusher_http_pushes_processed_total | synapse_http_httppusher_http_pushes_processed |
| synapse_http_httppusher_http_pushes_failed_total | synapse_http_httppusher_http_pushes_failed |
| synapse_http_httppusher_badge_updates_processed_total | synapse_http_httppusher_badge_updates_processed |
| synapse_http_httppusher_badge_updates_failed_total | synapse_http_httppusher_badge_updates_failed |
Removal of deprecated metrics & time based counters becoming histograms in 0.31.0
---------------------------------------------------------------------------------
The duplicated metrics deprecated in Synapse 0.27.0 have been removed.
All time duration-based metrics have been changed to be seconds. This
affects:
| msec -> sec metrics |
| -------------------------------------- |
| python_gc_time |
| python_twisted_reactor_tick_time |
| synapse_storage_query_time |
| synapse_storage_schedule_time |
| synapse_storage_transaction_time |
Several metrics have been changed to be histograms, which sort entries
into buckets and allow better analysis. The following metrics are now
histograms:
| Altered metrics |
| ------------------------------------------------ |
| python_gc_time |
| python_twisted_reactor_pending_calls |
| python_twisted_reactor_tick_time |
| synapse_http_server_response_time_seconds |
| synapse_storage_query_time |
| synapse_storage_schedule_time |
| synapse_storage_transaction_time |
Block and response metrics renamed for 0.27.0
---------------------------------------------
Synapse 0.27.0 begins the process of rationalising the duplicate
`*:count` metrics reported for the resource tracking for code blocks and
HTTP requests.
At the same time, the corresponding `*:total` metrics are being renamed,
as the `:total` suffix no longer makes sense in the absence of a
corresponding `:count` metric.
To enable a graceful migration path, this release just adds new names
for the metrics being renamed. A future release will remove the old
ones.
The following table shows the new metrics, and the old metrics which
they are replacing.
| New name | Old name |
| ------------------------------------------------------------- | ---------------------------------------------------------- |
| synapse_util_metrics_block_count | synapse_util_metrics_block_timer:count |
| synapse_util_metrics_block_count | synapse_util_metrics_block_ru_utime:count |
| synapse_util_metrics_block_count | synapse_util_metrics_block_ru_stime:count |
| synapse_util_metrics_block_count | synapse_util_metrics_block_db_txn_count:count |
| synapse_util_metrics_block_count | synapse_util_metrics_block_db_txn_duration:count |
| synapse_util_metrics_block_time_seconds | synapse_util_metrics_block_timer:total |
| synapse_util_metrics_block_ru_utime_seconds | synapse_util_metrics_block_ru_utime:total |
| synapse_util_metrics_block_ru_stime_seconds | synapse_util_metrics_block_ru_stime:total |
| synapse_util_metrics_block_db_txn_count | synapse_util_metrics_block_db_txn_count:total |
| synapse_util_metrics_block_db_txn_duration_seconds | synapse_util_metrics_block_db_txn_duration:total |
| synapse_http_server_response_count | synapse_http_server_requests |
| synapse_http_server_response_count | synapse_http_server_response_time:count |
| synapse_http_server_response_count | synapse_http_server_response_ru_utime:count |
| synapse_http_server_response_count | synapse_http_server_response_ru_stime:count |
| synapse_http_server_response_count | synapse_http_server_response_db_txn_count:count |
| synapse_http_server_response_count | synapse_http_server_response_db_txn_duration:count |
| synapse_http_server_response_time_seconds | synapse_http_server_response_time:total |
| synapse_http_server_response_ru_utime_seconds | synapse_http_server_response_ru_utime:total |
| synapse_http_server_response_ru_stime_seconds | synapse_http_server_response_ru_stime:total |
| synapse_http_server_response_db_txn_count | synapse_http_server_response_db_txn_count:total |
| synapse_http_server_response_db_txn_duration_seconds | synapse_http_server_response_db_txn_duration:total |
Standard Metric Names
---------------------
As of synapse version 0.18.2, the format of the process-wide metrics has
been changed to fit prometheus standard naming conventions. Additionally
the units have been changed to seconds, from miliseconds.
| New name | Old name |
| ---------------------------------------- | --------------------------------- |
| process_cpu_user_seconds_total | process_resource_utime / 1000 |
| process_cpu_system_seconds_total | process_resource_stime / 1000 |
| process_open_fds (no \'type\' label) | process_fds |
The python-specific counts of garbage collector performance have been
renamed.
| New name | Old name |
| -------------------------------- | -------------------------- |
| python_gc_time | reactor_gc_time |
| python_gc_unreachable_total | reactor_gc_unreachable |
| python_gc_counts | reactor_gc_counts |
The twisted-specific reactor metrics have been renamed.
| New name | Old name |
| -------------------------------------- | ----------------------- |
| python_twisted_reactor_pending_calls | reactor_pending_calls |
| python_twisted_reactor_tick_time | reactor_tick_time |

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@ -1,285 +0,0 @@
How to monitor Synapse metrics using Prometheus
===============================================
1. Install Prometheus:
Follow instructions at http://prometheus.io/docs/introduction/install/
2. Enable Synapse metrics:
There are two methods of enabling metrics in Synapse.
The first serves the metrics as a part of the usual web server and can be
enabled by adding the "metrics" resource to the existing listener as such::
resources:
- names:
- client
- metrics
This provides a simple way of adding metrics to your Synapse installation,
and serves under ``/_synapse/metrics``. If you do not wish your metrics be
publicly exposed, you will need to either filter it out at your load
balancer, or use the second method.
The second method runs the metrics server on a different port, in a
different thread to Synapse. This can make it more resilient to heavy load
meaning metrics cannot be retrieved, and can be exposed to just internal
networks easier. The served metrics are available over HTTP only, and will
be available at ``/``.
Add a new listener to homeserver.yaml::
listeners:
- type: metrics
port: 9000
bind_addresses:
- '0.0.0.0'
For both options, you will need to ensure that ``enable_metrics`` is set to
``True``.
Restart Synapse.
3. Add a Prometheus target for Synapse.
It needs to set the ``metrics_path`` to a non-default value (under ``scrape_configs``)::
- job_name: "synapse"
metrics_path: "/_synapse/metrics"
static_configs:
- targets: ["my.server.here:port"]
where ``my.server.here`` is the IP address of Synapse, and ``port`` is the listener port
configured with the ``metrics`` resource.
If your prometheus is older than 1.5.2, you will need to replace
``static_configs`` in the above with ``target_groups``.
Restart Prometheus.
Renaming of metrics & deprecation of old names in 1.2
-----------------------------------------------------
Synapse 1.2 updates the Prometheus metrics to match the naming convention of the
upstream ``prometheus_client``. The old names are considered deprecated and will
be removed in a future version of Synapse.
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| New Name | Old Name |
+=============================================================================+=======================================================================+
| python_gc_objects_collected_total | python_gc_objects_collected |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| python_gc_objects_uncollectable_total | python_gc_objects_uncollectable |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| python_gc_collections_total | python_gc_collections |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| process_cpu_seconds_total | process_cpu_seconds |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_federation_client_sent_transactions_total | synapse_federation_client_sent_transactions |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_federation_client_events_processed_total | synapse_federation_client_events_processed |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_event_processing_loop_count_total | synapse_event_processing_loop_count |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_event_processing_loop_room_count_total | synapse_event_processing_loop_room_count |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_util_metrics_block_count_total | synapse_util_metrics_block_count |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_util_metrics_block_time_seconds_total | synapse_util_metrics_block_time_seconds |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_util_metrics_block_ru_utime_seconds_total | synapse_util_metrics_block_ru_utime_seconds |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_util_metrics_block_ru_stime_seconds_total | synapse_util_metrics_block_ru_stime_seconds |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_util_metrics_block_db_txn_count_total | synapse_util_metrics_block_db_txn_count |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_util_metrics_block_db_txn_duration_seconds_total | synapse_util_metrics_block_db_txn_duration_seconds |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_util_metrics_block_db_sched_duration_seconds_total | synapse_util_metrics_block_db_sched_duration_seconds |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_background_process_start_count_total | synapse_background_process_start_count |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_background_process_ru_utime_seconds_total | synapse_background_process_ru_utime_seconds |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_background_process_ru_stime_seconds_total | synapse_background_process_ru_stime_seconds |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_background_process_db_txn_count_total | synapse_background_process_db_txn_count |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_background_process_db_txn_duration_seconds_total | synapse_background_process_db_txn_duration_seconds |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_background_process_db_sched_duration_seconds_total | synapse_background_process_db_sched_duration_seconds |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_storage_events_persisted_events_total | synapse_storage_events_persisted_events |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_storage_events_persisted_events_sep_total | synapse_storage_events_persisted_events_sep |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_storage_events_state_delta_total | synapse_storage_events_state_delta |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_storage_events_state_delta_single_event_total | synapse_storage_events_state_delta_single_event |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_storage_events_state_delta_reuse_delta_total | synapse_storage_events_state_delta_reuse_delta |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_federation_server_received_pdus_total | synapse_federation_server_received_pdus |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_federation_server_received_edus_total | synapse_federation_server_received_edus |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_handler_presence_notified_presence_total | synapse_handler_presence_notified_presence |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_handler_presence_federation_presence_out_total | synapse_handler_presence_federation_presence_out |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_handler_presence_presence_updates_total | synapse_handler_presence_presence_updates |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_handler_presence_timers_fired_total | synapse_handler_presence_timers_fired |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_handler_presence_federation_presence_total | synapse_handler_presence_federation_presence |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_handler_presence_bump_active_time_total | synapse_handler_presence_bump_active_time |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_federation_client_sent_edus_total | synapse_federation_client_sent_edus |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_federation_client_sent_pdu_destinations_count_total | synapse_federation_client_sent_pdu_destinations:count |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_federation_client_sent_pdu_destinations_total | synapse_federation_client_sent_pdu_destinations:total |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_handlers_appservice_events_processed_total | synapse_handlers_appservice_events_processed |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_notifier_notified_events_total | synapse_notifier_notified_events |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_push_bulk_push_rule_evaluator_push_rules_invalidation_counter_total | synapse_push_bulk_push_rule_evaluator_push_rules_invalidation_counter |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_push_bulk_push_rule_evaluator_push_rules_state_size_counter_total | synapse_push_bulk_push_rule_evaluator_push_rules_state_size_counter |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_http_httppusher_http_pushes_processed_total | synapse_http_httppusher_http_pushes_processed |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_http_httppusher_http_pushes_failed_total | synapse_http_httppusher_http_pushes_failed |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_http_httppusher_badge_updates_processed_total | synapse_http_httppusher_badge_updates_processed |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
| synapse_http_httppusher_badge_updates_failed_total | synapse_http_httppusher_badge_updates_failed |
+-----------------------------------------------------------------------------+-----------------------------------------------------------------------+
Removal of deprecated metrics & time based counters becoming histograms in 0.31.0
---------------------------------------------------------------------------------
The duplicated metrics deprecated in Synapse 0.27.0 have been removed.
All time duration-based metrics have been changed to be seconds. This affects:
+----------------------------------+
| msec -> sec metrics |
+==================================+
| python_gc_time |
+----------------------------------+
| python_twisted_reactor_tick_time |
+----------------------------------+
| synapse_storage_query_time |
+----------------------------------+
| synapse_storage_schedule_time |
+----------------------------------+
| synapse_storage_transaction_time |
+----------------------------------+
Several metrics have been changed to be histograms, which sort entries into
buckets and allow better analysis. The following metrics are now histograms:
+-------------------------------------------+
| Altered metrics |
+===========================================+
| python_gc_time |
+-------------------------------------------+
| python_twisted_reactor_pending_calls |
+-------------------------------------------+
| python_twisted_reactor_tick_time |
+-------------------------------------------+
| synapse_http_server_response_time_seconds |
+-------------------------------------------+
| synapse_storage_query_time |
+-------------------------------------------+
| synapse_storage_schedule_time |
+-------------------------------------------+
| synapse_storage_transaction_time |
+-------------------------------------------+
Block and response metrics renamed for 0.27.0
---------------------------------------------
Synapse 0.27.0 begins the process of rationalising the duplicate ``*:count``
metrics reported for the resource tracking for code blocks and HTTP requests.
At the same time, the corresponding ``*:total`` metrics are being renamed, as
the ``:total`` suffix no longer makes sense in the absence of a corresponding
``:count`` metric.
To enable a graceful migration path, this release just adds new names for the
metrics being renamed. A future release will remove the old ones.
The following table shows the new metrics, and the old metrics which they are
replacing.
==================================================== ===================================================
New name Old name
==================================================== ===================================================
synapse_util_metrics_block_count synapse_util_metrics_block_timer:count
synapse_util_metrics_block_count synapse_util_metrics_block_ru_utime:count
synapse_util_metrics_block_count synapse_util_metrics_block_ru_stime:count
synapse_util_metrics_block_count synapse_util_metrics_block_db_txn_count:count
synapse_util_metrics_block_count synapse_util_metrics_block_db_txn_duration:count
synapse_util_metrics_block_time_seconds synapse_util_metrics_block_timer:total
synapse_util_metrics_block_ru_utime_seconds synapse_util_metrics_block_ru_utime:total
synapse_util_metrics_block_ru_stime_seconds synapse_util_metrics_block_ru_stime:total
synapse_util_metrics_block_db_txn_count synapse_util_metrics_block_db_txn_count:total
synapse_util_metrics_block_db_txn_duration_seconds synapse_util_metrics_block_db_txn_duration:total
synapse_http_server_response_count synapse_http_server_requests
synapse_http_server_response_count synapse_http_server_response_time:count
synapse_http_server_response_count synapse_http_server_response_ru_utime:count
synapse_http_server_response_count synapse_http_server_response_ru_stime:count
synapse_http_server_response_count synapse_http_server_response_db_txn_count:count
synapse_http_server_response_count synapse_http_server_response_db_txn_duration:count
synapse_http_server_response_time_seconds synapse_http_server_response_time:total
synapse_http_server_response_ru_utime_seconds synapse_http_server_response_ru_utime:total
synapse_http_server_response_ru_stime_seconds synapse_http_server_response_ru_stime:total
synapse_http_server_response_db_txn_count synapse_http_server_response_db_txn_count:total
synapse_http_server_response_db_txn_duration_seconds synapse_http_server_response_db_txn_duration:total
==================================================== ===================================================
Standard Metric Names
---------------------
As of synapse version 0.18.2, the format of the process-wide metrics has been
changed to fit prometheus standard naming conventions. Additionally the units
have been changed to seconds, from miliseconds.
================================== =============================
New name Old name
================================== =============================
process_cpu_user_seconds_total process_resource_utime / 1000
process_cpu_system_seconds_total process_resource_stime / 1000
process_open_fds (no 'type' label) process_fds
================================== =============================
The python-specific counts of garbage collector performance have been renamed.
=========================== ======================
New name Old name
=========================== ======================
python_gc_time reactor_gc_time
python_gc_unreachable_total reactor_gc_unreachable
python_gc_counts reactor_gc_counts
=========================== ======================
The twisted-specific reactor metrics have been renamed.
==================================== =====================
New name Old name
==================================== =====================
python_twisted_reactor_pending_calls reactor_pending_calls
python_twisted_reactor_tick_time reactor_tick_time
==================================== =====================

93
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# OpenTracing
## Background
OpenTracing is a semi-standard being adopted by a number of distributed
tracing platforms. It is a common api for facilitating vendor-agnostic
tracing instrumentation. That is, we can use the OpenTracing api and
select one of a number of tracer implementations to do the heavy lifting
in the background. Our current selected implementation is Jaeger.
OpenTracing is a tool which gives an insight into the causal
relationship of work done in and between servers. The servers each track
events and report them to a centralised server - in Synapse's case:
Jaeger. The basic unit used to represent events is the span. The span
roughly represents a single piece of work that was done and the time at
which it occurred. A span can have child spans, meaning that the work of
the child had to be completed for the parent span to complete, or it can
have follow-on spans which represent work that is undertaken as a result
of the parent but is not depended on by the parent to in order to
finish.
Since this is undertaken in a distributed environment a request to
another server, such as an RPC or a simple GET, can be considered a span
(a unit or work) for the local server. This causal link is what
OpenTracing aims to capture and visualise. In order to do this metadata
about the local server's span, i.e the 'span context', needs to be
included with the request to the remote.
It is up to the remote server to decide what it does with the spans it
creates. This is called the sampling policy and it can be configured
through Jaeger's settings.
For OpenTracing concepts see
<https://opentracing.io/docs/overview/what-is-tracing/>.
For more information about Jaeger's implementation see
<https://www.jaegertracing.io/docs/>
## Setting up OpenTracing
To receive OpenTracing spans, start up a Jaeger server. This can be done
using docker like so:
```sh
docker run -d --name jaeger
-p 6831:6831/udp \
-p 6832:6832/udp \
-p 5778:5778 \
-p 16686:16686 \
-p 14268:14268 \
jaegertracing/all-in-one:1.13
```
Latest documentation is probably at
<https://www.jaegertracing.io/docs/1.13/getting-started/>
## Enable OpenTracing in Synapse
OpenTracing is not enabled by default. It must be enabled in the
homeserver config by uncommenting the config options under `opentracing`
as shown in the [sample config](./sample_config.yaml). For example:
```yaml
opentracing:
tracer_enabled: true
homeserver_whitelist:
- "mytrustedhomeserver.org"
- "*.myotherhomeservers.com"
```
## Homeserver whitelisting
The homeserver whitelist is configured using regular expressions. A list
of regular expressions can be given and their union will be compared
when propagating any spans contexts to another homeserver.
Though it's mostly safe to send and receive span contexts to and from
untrusted users since span contexts are usually opaque ids it can lead
to two problems, namely:
- If the span context is marked as sampled by the sending homeserver
the receiver will sample it. Therefore two homeservers with wildly
different sampling policies could incur higher sampling counts than
intended.
- Sending servers can attach arbitrary data to spans, known as
'baggage'. For safety this has been disabled in Synapse but that
doesn't prevent another server sending you baggage which will be
logged to OpenTracing's logs.
## Configuring Jaeger
Sampling strategies can be set as in this document:
<https://www.jaegertracing.io/docs/1.13/sampling/>

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@ -1,123 +0,0 @@
===========
OpenTracing
===========
Background
----------
OpenTracing is a semi-standard being adopted by a number of distributed tracing
platforms. It is a common api for facilitating vendor-agnostic tracing
instrumentation. That is, we can use the OpenTracing api and select one of a
number of tracer implementations to do the heavy lifting in the background.
Our current selected implementation is Jaeger.
OpenTracing is a tool which gives an insight into the causal relationship of
work done in and between servers. The servers each track events and report them
to a centralised server - in Synapse's case: Jaeger. The basic unit used to
represent events is the span. The span roughly represents a single piece of work
that was done and the time at which it occurred. A span can have child spans,
meaning that the work of the child had to be completed for the parent span to
complete, or it can have follow-on spans which represent work that is undertaken
as a result of the parent but is not depended on by the parent to in order to
finish.
Since this is undertaken in a distributed environment a request to another
server, such as an RPC or a simple GET, can be considered a span (a unit or
work) for the local server. This causal link is what OpenTracing aims to
capture and visualise. In order to do this metadata about the local server's
span, i.e the 'span context', needs to be included with the request to the
remote.
It is up to the remote server to decide what it does with the spans
it creates. This is called the sampling policy and it can be configured
through Jaeger's settings.
For OpenTracing concepts see
https://opentracing.io/docs/overview/what-is-tracing/.
For more information about Jaeger's implementation see
https://www.jaegertracing.io/docs/
=====================
Seting up OpenTracing
=====================
To receive OpenTracing spans, start up a Jaeger server. This can be done
using docker like so:
.. code-block:: bash
docker run -d --name jaeger
-p 6831:6831/udp \
-p 6832:6832/udp \
-p 5778:5778 \
-p 16686:16686 \
-p 14268:14268 \
jaegertracing/all-in-one:1.13
Latest documentation is probably at
https://www.jaegertracing.io/docs/1.13/getting-started/
Enable OpenTracing in Synapse
-----------------------------
OpenTracing is not enabled by default. It must be enabled in the homeserver
config by uncommenting the config options under ``opentracing`` as shown in
the `sample config <./sample_config.yaml>`_. For example:
.. code-block:: yaml
opentracing:
tracer_enabled: true
homeserver_whitelist:
- "mytrustedhomeserver.org"
- "*.myotherhomeservers.com"
Homeserver whitelisting
-----------------------
The homeserver whitelist is configured using regular expressions. A list of regular
expressions can be given and their union will be compared when propagating any
spans contexts to another homeserver.
Though it's mostly safe to send and receive span contexts to and from
untrusted users since span contexts are usually opaque ids it can lead to
two problems, namely:
- If the span context is marked as sampled by the sending homeserver the receiver will
sample it. Therefore two homeservers with wildly different sampling policies
could incur higher sampling counts than intended.
- Sending servers can attach arbitrary data to spans, known as 'baggage'. For safety this has been disabled in Synapse
but that doesn't prevent another server sending you baggage which will be logged
to OpenTracing's logs.
==========
EDU FORMAT
==========
EDUs can contain tracing data in their content. This is not specced but
it could be of interest for other homeservers.
EDU format (if you're using jaeger):
.. code-block:: json
{
"edu_type": "type",
"content": {
"org.matrix.opentracing_context": {
"uber-trace-id": "fe57cf3e65083289"
}
}
}
Though you don't have to use jaeger you must inject the span context into
`org.matrix.opentracing_context` using the opentracing `Format.TEXT_MAP` inject method.
==================
Configuring Jaeger
==================
Sampling strategies can be set as in this document:
https://www.jaegertracing.io/docs/1.13/sampling/

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# Password auth provider modules
Password auth providers offer a way for server administrators to
integrate their Synapse installation with an existing authentication
system.
A password auth provider is a Python class which is dynamically loaded
into Synapse, and provides a number of methods by which it can integrate
with the authentication system.
This document serves as a reference for those looking to implement their
own password auth providers.
## Required methods
Password auth provider classes must provide the following methods:
*class* `SomeProvider.parse_config`(*config*)
> This method is passed the `config` object for this module from the
> homeserver configuration file.
>
> It should perform any appropriate sanity checks on the provided
> configuration, and return an object which is then passed into
> `__init__`.
*class* `SomeProvider`(*config*, *account_handler*)
> The constructor is passed the config object returned by
> `parse_config`, and a `synapse.module_api.ModuleApi` object which
> allows the password provider to check if accounts exist and/or create
> new ones.
## Optional methods
Password auth provider classes may optionally provide the following
methods.
*class* `SomeProvider.get_db_schema_files`()
> This method, if implemented, should return an Iterable of
> `(name, stream)` pairs of database schema files. Each file is applied
> in turn at initialisation, and a record is then made in the database
> so that it is not re-applied on the next start.
`someprovider.get_supported_login_types`()
> This method, if implemented, should return a `dict` mapping from a
> login type identifier (such as `m.login.password`) to an iterable
> giving the fields which must be provided by the user in the submission
> to the `/login` api. These fields are passed in the `login_dict`
> dictionary to `check_auth`.
>
> For example, if a password auth provider wants to implement a custom
> login type of `com.example.custom_login`, where the client is expected
> to pass the fields `secret1` and `secret2`, the provider should
> implement this method and return the following dict:
>
> {"com.example.custom_login": ("secret1", "secret2")}
`someprovider.check_auth`(*username*, *login_type*, *login_dict*)
> This method is the one that does the real work. If implemented, it
> will be called for each login attempt where the login type matches one
> of the keys returned by `get_supported_login_types`.
>
> It is passed the (possibly UNqualified) `user` provided by the client,
> the login type, and a dictionary of login secrets passed by the
> client.
>
> The method should return a Twisted `Deferred` object, which resolves
> to the canonical `@localpart:domain` user id if authentication is
> successful, and `None` if not.
>
> Alternatively, the `Deferred` can resolve to a `(str, func)` tuple, in
> which case the second field is a callback which will be called with
> the result from the `/login` call (including `access_token`,
> `device_id`, etc.)
`someprovider.check_3pid_auth`(*medium*, *address*, *password*)
> This method, if implemented, is called when a user attempts to
> register or log in with a third party identifier, such as email. It is
> passed the medium (ex. "email"), an address (ex.
> "<jdoe@example.com>") and the user's password.
>
> The method should return a Twisted `Deferred` object, which resolves
> to a `str` containing the user's (canonical) User ID if
> authentication was successful, and `None` if not.
>
> As with `check_auth`, the `Deferred` may alternatively resolve to a
> `(user_id, callback)` tuple.
`someprovider.check_password`(*user_id*, *password*)
> This method provides a simpler interface than
> `get_supported_login_types` and `check_auth` for password auth
> providers that just want to provide a mechanism for validating
> `m.login.password` logins.
>
> Iif implemented, it will be called to check logins with an
> `m.login.password` login type. It is passed a qualified
> `@localpart:domain` user id, and the password provided by the user.
>
> The method should return a Twisted `Deferred` object, which resolves
> to `True` if authentication is successful, and `False` if not.
`someprovider.on_logged_out`(*user_id*, *device_id*, *access_token*)
> This method, if implemented, is called when a user logs out. It is
> passed the qualified user ID, the ID of the deactivated device (if
> any: access tokens are occasionally created without an associated
> device ID), and the (now deactivated) access token.
>
> It may return a Twisted `Deferred` object; the logout request will
> wait for the deferred to complete but the result is ignored.

View File

@ -1,113 +0,0 @@
Password auth provider modules
==============================
Password auth providers offer a way for server administrators to integrate
their Synapse installation with an existing authentication system.
A password auth provider is a Python class which is dynamically loaded into
Synapse, and provides a number of methods by which it can integrate with the
authentication system.
This document serves as a reference for those looking to implement their own
password auth providers.
Required methods
----------------
Password auth provider classes must provide the following methods:
*class* ``SomeProvider.parse_config``\(*config*)
This method is passed the ``config`` object for this module from the
homeserver configuration file.
It should perform any appropriate sanity checks on the provided
configuration, and return an object which is then passed into ``__init__``.
*class* ``SomeProvider``\(*config*, *account_handler*)
The constructor is passed the config object returned by ``parse_config``,
and a ``synapse.module_api.ModuleApi`` object which allows the
password provider to check if accounts exist and/or create new ones.
Optional methods
----------------
Password auth provider classes may optionally provide the following methods.
*class* ``SomeProvider.get_db_schema_files``\()
This method, if implemented, should return an Iterable of ``(name,
stream)`` pairs of database schema files. Each file is applied in turn at
initialisation, and a record is then made in the database so that it is
not re-applied on the next start.
``someprovider.get_supported_login_types``\()
This method, if implemented, should return a ``dict`` mapping from a login
type identifier (such as ``m.login.password``) to an iterable giving the
fields which must be provided by the user in the submission to the
``/login`` api. These fields are passed in the ``login_dict`` dictionary
to ``check_auth``.
For example, if a password auth provider wants to implement a custom login
type of ``com.example.custom_login``, where the client is expected to pass
the fields ``secret1`` and ``secret2``, the provider should implement this
method and return the following dict::
{"com.example.custom_login": ("secret1", "secret2")}
``someprovider.check_auth``\(*username*, *login_type*, *login_dict*)
This method is the one that does the real work. If implemented, it will be
called for each login attempt where the login type matches one of the keys
returned by ``get_supported_login_types``.
It is passed the (possibly UNqualified) ``user`` provided by the client,
the login type, and a dictionary of login secrets passed by the client.
The method should return a Twisted ``Deferred`` object, which resolves to
the canonical ``@localpart:domain`` user id if authentication is successful,
and ``None`` if not.
Alternatively, the ``Deferred`` can resolve to a ``(str, func)`` tuple, in
which case the second field is a callback which will be called with the
result from the ``/login`` call (including ``access_token``, ``device_id``,
etc.)
``someprovider.check_3pid_auth``\(*medium*, *address*, *password*)
This method, if implemented, is called when a user attempts to register or
log in with a third party identifier, such as email. It is passed the
medium (ex. "email"), an address (ex. "jdoe@example.com") and the user's
password.
The method should return a Twisted ``Deferred`` object, which resolves to
a ``str`` containing the user's (canonical) User ID if authentication was
successful, and ``None`` if not.
As with ``check_auth``, the ``Deferred`` may alternatively resolve to a
``(user_id, callback)`` tuple.
``someprovider.check_password``\(*user_id*, *password*)
This method provides a simpler interface than ``get_supported_login_types``
and ``check_auth`` for password auth providers that just want to provide a
mechanism for validating ``m.login.password`` logins.
Iif implemented, it will be called to check logins with an
``m.login.password`` login type. It is passed a qualified
``@localpart:domain`` user id, and the password provided by the user.
The method should return a Twisted ``Deferred`` object, which resolves to
``True`` if authentication is successful, and ``False`` if not.
``someprovider.on_logged_out``\(*user_id*, *device_id*, *access_token*)
This method, if implemented, is called when a user logs out. It is passed
the qualified user ID, the ID of the deactivated device (if any: access
tokens are occasionally created without an associated device ID), and the
(now deactivated) access token.
It may return a Twisted ``Deferred`` object; the logout request will wait
for the deferred to complete but the result is ignored.

164
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# Using Postgres
Postgres version 9.5 or later is known to work.
## Install postgres client libraries
Synapse will require the python postgres client library in order to
connect to a postgres database.
- If you are using the [matrix.org debian/ubuntu
packages](../INSTALL.md#matrixorg-packages), the necessary python
library will already be installed, but you will need to ensure the
low-level postgres library is installed, which you can do with
`apt install libpq5`.
- For other pre-built packages, please consult the documentation from
the relevant package.
- If you installed synapse [in a
virtualenv](../INSTALL.md#installing-from-source), you can install
the library with:
~/synapse/env/bin/pip install matrix-synapse[postgres]
(substituting the path to your virtualenv for `~/synapse/env`, if
you used a different path). You will require the postgres
development files. These are in the `libpq-dev` package on
Debian-derived distributions.
## Set up database
Assuming your PostgreSQL database user is called `postgres`, create a
user `synapse_user` with:
su - postgres
createuser --pwprompt synapse_user
Before you can authenticate with the `synapse_user`, you must create a
database that it can access. To create a database, first connect to the
database with your database user:
su - postgres
psql
and then run:
CREATE DATABASE synapse
ENCODING 'UTF8'
LC_COLLATE='C'
LC_CTYPE='C'
template=template0
OWNER synapse_user;
This would create an appropriate database named `synapse` owned by the
`synapse_user` user (which must already have been created as above).
Note that the PostgreSQL database *must* have the correct encoding set
(as shown above), otherwise it will not be able to store UTF8 strings.
You may need to enable password authentication so `synapse_user` can
connect to the database. See
<https://www.postgresql.org/docs/11/auth-pg-hba-conf.html>.
## Tuning Postgres
The default settings should be fine for most deployments. For larger
scale deployments tuning some of the settings is recommended, details of
which can be found at
<https://wiki.postgresql.org/wiki/Tuning_Your_PostgreSQL_Server>.
In particular, we've found tuning the following values helpful for
performance:
- `shared_buffers`
- `effective_cache_size`
- `work_mem`
- `maintenance_work_mem`
- `autovacuum_work_mem`
Note that the appropriate values for those fields depend on the amount
of free memory the database host has available.
## Synapse config
When you are ready to start using PostgreSQL, edit the `database`
section in your config file to match the following lines:
database:
name: psycopg2
args:
user: <user>
password: <pass>
database: <db>
host: <host>
cp_min: 5
cp_max: 10
All key, values in `args` are passed to the `psycopg2.connect(..)`
function, except keys beginning with `cp_`, which are consumed by the
twisted adbapi connection pool.
## Porting from SQLite
### Overview
The script `synapse_port_db` allows porting an existing synapse server
backed by SQLite to using PostgreSQL. This is done in as a two phase
process:
1. Copy the existing SQLite database to a separate location (while the
server is down) and running the port script against that offline
database.
2. Shut down the server. Rerun the port script to port any data that
has come in since taking the first snapshot. Restart server against
the PostgreSQL database.
The port script is designed to be run repeatedly against newer snapshots
of the SQLite database file. This makes it safe to repeat step 1 if
there was a delay between taking the previous snapshot and being ready
to do step 2.
It is safe to at any time kill the port script and restart it.
### Using the port script
Firstly, shut down the currently running synapse server and copy its
database file (typically `homeserver.db`) to another location. Once the
copy is complete, restart synapse. For instance:
./synctl stop
cp homeserver.db homeserver.db.snapshot
./synctl start
Copy the old config file into a new config file:
cp homeserver.yaml homeserver-postgres.yaml
Edit the database section as described in the section *Synapse config*
above and with the SQLite snapshot located at `homeserver.db.snapshot`
simply run:
synapse_port_db --sqlite-database homeserver.db.snapshot \
--postgres-config homeserver-postgres.yaml
The flag `--curses` displays a coloured curses progress UI.
If the script took a long time to complete, or time has otherwise passed
since the original snapshot was taken, repeat the previous steps with a
newer snapshot.
To complete the conversion shut down the synapse server and run the port
script one last time, e.g. if the SQLite database is at `homeserver.db`
run:
synapse_port_db --sqlite-database homeserver.db \
--postgres-config homeserver-postgres.yaml
Once that has completed, change the synapse config to point at the
PostgreSQL database configuration file `homeserver-postgres.yaml`:
./synctl stop
mv homeserver.yaml homeserver-old-sqlite.yaml
mv homeserver-postgres.yaml homeserver.yaml
./synctl start
Synapse should now be running against PostgreSQL.

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Using Postgres
--------------
Postgres version 9.5 or later is known to work.
Install postgres client libraries
=================================
Synapse will require the python postgres client library in order to connect to
a postgres database.
* If you are using the `matrix.org debian/ubuntu
packages <../INSTALL.md#matrixorg-packages>`_,
the necessary python library will already be installed, but you will need to
ensure the low-level postgres library is installed, which you can do with
``apt install libpq5``.
* For other pre-built packages, please consult the documentation from the
relevant package.
* If you installed synapse `in a virtualenv
<../INSTALL.md#installing-from-source>`_, you can install the library with::
~/synapse/env/bin/pip install matrix-synapse[postgres]
(substituting the path to your virtualenv for ``~/synapse/env``, if you used a
different path). You will require the postgres development files. These are in
the ``libpq-dev`` package on Debian-derived distributions.
Set up database
===============
Assuming your PostgreSQL database user is called ``postgres``, create a user
``synapse_user`` with::
su - postgres
createuser --pwprompt synapse_user
Before you can authenticate with the ``synapse_user``, you must create a
database that it can access. To create a database, first connect to the database
with your database user::
su - postgres
psql
and then run::
CREATE DATABASE synapse
ENCODING 'UTF8'
LC_COLLATE='C'
LC_CTYPE='C'
template=template0
OWNER synapse_user;
This would create an appropriate database named ``synapse`` owned by the
``synapse_user`` user (which must already have been created as above).
Note that the PostgreSQL database *must* have the correct encoding set (as
shown above), otherwise it will not be able to store UTF8 strings.
You may need to enable password authentication so ``synapse_user`` can connect
to the database. See https://www.postgresql.org/docs/11/auth-pg-hba-conf.html.
Tuning Postgres
===============
The default settings should be fine for most deployments. For larger scale
deployments tuning some of the settings is recommended, details of which can be
found at https://wiki.postgresql.org/wiki/Tuning_Your_PostgreSQL_Server.
In particular, we've found tuning the following values helpful for performance:
- ``shared_buffers``
- ``effective_cache_size``
- ``work_mem``
- ``maintenance_work_mem``
- ``autovacuum_work_mem``
Note that the appropriate values for those fields depend on the amount of free
memory the database host has available.
Synapse config
==============
When you are ready to start using PostgreSQL, edit the ``database`` section in
your config file to match the following lines::
database:
name: psycopg2
args:
user: <user>
password: <pass>
database: <db>
host: <host>
cp_min: 5
cp_max: 10
All key, values in ``args`` are passed to the ``psycopg2.connect(..)``
function, except keys beginning with ``cp_``, which are consumed by the twisted
adbapi connection pool.
Porting from SQLite
===================
Overview
~~~~~~~~
The script ``synapse_port_db`` allows porting an existing synapse server
backed by SQLite to using PostgreSQL. This is done in as a two phase process:
1. Copy the existing SQLite database to a separate location (while the server
is down) and running the port script against that offline database.
2. Shut down the server. Rerun the port script to port any data that has come
in since taking the first snapshot. Restart server against the PostgreSQL
database.
The port script is designed to be run repeatedly against newer snapshots of the
SQLite database file. This makes it safe to repeat step 1 if there was a delay
between taking the previous snapshot and being ready to do step 2.
It is safe to at any time kill the port script and restart it.
Using the port script
~~~~~~~~~~~~~~~~~~~~~
Firstly, shut down the currently running synapse server and copy its database
file (typically ``homeserver.db``) to another location. Once the copy is
complete, restart synapse. For instance::
./synctl stop
cp homeserver.db homeserver.db.snapshot
./synctl start
Copy the old config file into a new config file::
cp homeserver.yaml homeserver-postgres.yaml
Edit the database section as described in the section *Synapse config* above
and with the SQLite snapshot located at ``homeserver.db.snapshot`` simply run::
synapse_port_db --sqlite-database homeserver.db.snapshot \
--postgres-config homeserver-postgres.yaml
The flag ``--curses`` displays a coloured curses progress UI.
If the script took a long time to complete, or time has otherwise passed since
the original snapshot was taken, repeat the previous steps with a newer
snapshot.
To complete the conversion shut down the synapse server and run the port
script one last time, e.g. if the SQLite database is at ``homeserver.db``
run::
synapse_port_db --sqlite-database homeserver.db \
--postgres-config homeserver-postgres.yaml
Once that has completed, change the synapse config to point at the PostgreSQL
database configuration file ``homeserver-postgres.yaml``::
./synctl stop
mv homeserver.yaml homeserver-old-sqlite.yaml
mv homeserver-postgres.yaml homeserver.yaml
./synctl start
Synapse should now be running against PostgreSQL.

37
docs/replication.md Normal file
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# Replication Architecture
## Motivation
We'd like to be able to split some of the work that synapse does into
multiple python processes. In theory multiple synapse processes could
share a single postgresql database and we\'d scale up by running more
synapse processes. However much of synapse assumes that only one process
is interacting with the database, both for assigning unique identifiers
when inserting into tables, notifying components about new updates, and
for invalidating its caches.
So running multiple copies of the current code isn't an option. One way
to run multiple processes would be to have a single writer process and
multiple reader processes connected to the same database. In order to do
this we'd need a way for the reader process to invalidate its in-memory
caches when an update happens on the writer. One way to do this is for
the writer to present an append-only log of updates which the readers
can consume to invalidate their caches and to push updates to listening
clients or pushers.
Synapse already stores much of its data as an append-only log so that it
can correctly respond to `/sync` requests so the amount of code changes
needed to expose the append-only log to the readers should be fairly
minimal.
## Architecture
### The Replication Protocol
See [tcp_replication.md](tcp_replication.md)
### The Slaved DataStore
There are read-only version of the synapse storage layer in
`synapse/replication/slave/storage` that use the response of the
replication API to invalidate their caches.

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@ -1,40 +0,0 @@
Replication Architecture
========================
Motivation
----------
We'd like to be able to split some of the work that synapse does into multiple
python processes. In theory multiple synapse processes could share a single
postgresql database and we'd scale up by running more synapse processes.
However much of synapse assumes that only one process is interacting with the
database, both for assigning unique identifiers when inserting into tables,
notifying components about new updates, and for invalidating its caches.
So running multiple copies of the current code isn't an option. One way to
run multiple processes would be to have a single writer process and multiple
reader processes connected to the same database. In order to do this we'd need
a way for the reader process to invalidate its in-memory caches when an update
happens on the writer. One way to do this is for the writer to present an
append-only log of updates which the readers can consume to invalidate their
caches and to push updates to listening clients or pushers.
Synapse already stores much of its data as an append-only log so that it can
correctly respond to /sync requests so the amount of code changes needed to
expose the append-only log to the readers should be fairly minimal.
Architecture
------------
The Replication Protocol
~~~~~~~~~~~~~~~~~~~~~~~~
See ``tcp_replication.rst``
The Slaved DataStore
~~~~~~~~~~~~~~~~~~~~
There are read-only version of the synapse storage layer in
``synapse/replication/slave/storage`` that use the response of the replication
API to invalidate their caches.

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# Using a reverse proxy with Synapse
It is recommended to put a reverse proxy such as
[nginx](https://nginx.org/en/docs/http/ngx_http_proxy_module.html),
[Apache](https://httpd.apache.org/docs/current/mod/mod_proxy_http.html),
[Caddy](https://caddyserver.com/docs/proxy) or
[HAProxy](https://www.haproxy.org/) in front of Synapse. One advantage
of doing so is that it means that you can expose the default https port
(443) to Matrix clients without needing to run Synapse with root
privileges.
> **NOTE**: Your reverse proxy must not `canonicalise` or `normalise`
the requested URI in any way (for example, by decoding `%xx` escapes).
Beware that Apache *will* canonicalise URIs unless you specifify
`nocanon`.
When setting up a reverse proxy, remember that Matrix clients and other
Matrix servers do not necessarily need to connect to your server via the
same server name or port. Indeed, clients will use port 443 by default,
whereas servers default to port 8448. Where these are different, we
refer to the 'client port' and the \'federation port\'. See [Setting
up federation](federate.md) for more details of the algorithm used for
federation connections.
Let's assume that we expect clients to connect to our server at
`https://matrix.example.com`, and other servers to connect at
`https://example.com:8448`. The following sections detail the configuration of
the reverse proxy and the homeserver.
## Webserver configuration examples
> **NOTE**: You only need one of these.
### nginx
server {
listen 443 ssl;
listen [::]:443 ssl;
server_name matrix.example.com;
location /_matrix {
proxy_pass http://localhost:8008;
proxy_set_header X-Forwarded-For $remote_addr;
}
}
server {
listen 8448 ssl default_server;
listen [::]:8448 ssl default_server;
server_name example.com;
location / {
proxy_pass http://localhost:8008;
proxy_set_header X-Forwarded-For $remote_addr;
}
}
> **NOTE**: Do not add a `/` after the port in `proxy_pass`, otherwise nginx will
canonicalise/normalise the URI.
### Caddy
matrix.example.com {
proxy /_matrix http://localhost:8008 {
transparent
}
}
example.com:8448 {
proxy / http://localhost:8008 {
transparent
}
}
### Apache
<VirtualHost *:443>
SSLEngine on
ServerName matrix.example.com;
AllowEncodedSlashes NoDecode
ProxyPass /_matrix http://127.0.0.1:8008/_matrix nocanon
ProxyPassReverse /_matrix http://127.0.0.1:8008/_matrix
</VirtualHost>
<VirtualHost *:8448>
SSLEngine on
ServerName example.com;
AllowEncodedSlashes NoDecode
ProxyPass /_matrix http://127.0.0.1:8008/_matrix nocanon
ProxyPassReverse /_matrix http://127.0.0.1:8008/_matrix
</VirtualHost>
> **NOTE**: ensure the `nocanon` options are included.
### HAProxy
frontend https
bind :::443 v4v6 ssl crt /etc/ssl/haproxy/ strict-sni alpn h2,http/1.1
# Matrix client traffic
acl matrix-host hdr(host) -i matrix.example.com
acl matrix-path path_beg /_matrix
use_backend matrix if matrix-host matrix-path
frontend matrix-federation
bind :::8448 v4v6 ssl crt /etc/ssl/haproxy/synapse.pem alpn h2,http/1.1
default_backend matrix
backend matrix
server matrix 127.0.0.1:8008
## Homeserver Configuration
You will also want to set `bind_addresses: ['127.0.0.1']` and
`x_forwarded: true` for port 8008 in `homeserver.yaml` to ensure that
client IP addresses are recorded correctly.
Having done so, you can then use `https://matrix.example.com` (instead
of `https://matrix.example.com:8448`) as the "Custom server" when
connecting to Synapse from a client.

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@ -1,112 +0,0 @@
Using a reverse proxy with Synapse
==================================
It is recommended to put a reverse proxy such as
`nginx <https://nginx.org/en/docs/http/ngx_http_proxy_module.html>`_,
`Apache <https://httpd.apache.org/docs/current/mod/mod_proxy_http.html>`_,
`Caddy <https://caddyserver.com/docs/proxy>`_ or
`HAProxy <https://www.haproxy.org/>`_ in front of Synapse. One advantage of
doing so is that it means that you can expose the default https port (443) to
Matrix clients without needing to run Synapse with root privileges.
**NOTE**: Your reverse proxy must not 'canonicalise' or 'normalise' the
requested URI in any way (for example, by decoding ``%xx`` escapes). Beware
that Apache *will* canonicalise URIs unless you specifify ``nocanon``.
When setting up a reverse proxy, remember that Matrix clients and other Matrix
servers do not necessarily need to connect to your server via the same server
name or port. Indeed, clients will use port 443 by default, whereas servers
default to port 8448. Where these are different, we refer to the 'client port'
and the 'federation port'. See `Setting up federation
<federate.md>`_ for more details of the algorithm used for
federation connections.
Let's assume that we expect clients to connect to our server at
``https://matrix.example.com``, and other servers to connect at
``https://example.com:8448``. Here are some example configurations:
* nginx::
server {
listen 443 ssl;
listen [::]:443 ssl;
server_name matrix.example.com;
location /_matrix {
proxy_pass http://localhost:8008;
proxy_set_header X-Forwarded-For $remote_addr;
}
}
server {
listen 8448 ssl default_server;
listen [::]:8448 ssl default_server;
server_name example.com;
location / {
proxy_pass http://localhost:8008;
proxy_set_header X-Forwarded-For $remote_addr;
}
}
Do not add a `/` after the port in `proxy_pass`, otherwise nginx will canonicalise/normalise the URI.
* Caddy::
matrix.example.com {
proxy /_matrix http://localhost:8008 {
transparent
}
}
example.com:8448 {
proxy / http://localhost:8008 {
transparent
}
}
* Apache (note the ``nocanon`` options here!)::
<VirtualHost *:443>
SSLEngine on
ServerName matrix.example.com;
AllowEncodedSlashes NoDecode
ProxyPass /_matrix http://127.0.0.1:8008/_matrix nocanon
ProxyPassReverse /_matrix http://127.0.0.1:8008/_matrix
</VirtualHost>
<VirtualHost *:8448>
SSLEngine on
ServerName example.com;
AllowEncodedSlashes NoDecode
ProxyPass /_matrix http://127.0.0.1:8008/_matrix nocanon
ProxyPassReverse /_matrix http://127.0.0.1:8008/_matrix
</VirtualHost>
* HAProxy::
frontend https
bind :::443 v4v6 ssl crt /etc/ssl/haproxy/ strict-sni alpn h2,http/1.1
# Matrix client traffic
acl matrix-host hdr(host) -i matrix.example.com
acl matrix-path path_beg /_matrix
use_backend matrix if matrix-host matrix-path
frontend matrix-federation
bind :::8448 v4v6 ssl crt /etc/ssl/haproxy/synapse.pem alpn h2,http/1.1
default_backend matrix
backend matrix
server matrix 127.0.0.1:8008
You will also want to set ``bind_addresses: ['127.0.0.1']`` and ``x_forwarded: true``
for port 8008 in ``homeserver.yaml`` to ensure that client IP addresses are
recorded correctly.
Having done so, you can then use ``https://matrix.example.com`` (instead of
``https://matrix.example.com:8448``) as the "Custom server" when connecting to
Synapse from a client.

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@ -136,8 +136,8 @@ federation_ip_range_blacklist:
#
# type: the type of listener. Normally 'http', but other valid options are:
# 'manhole' (see docs/manhole.md),
# 'metrics' (see docs/metrics-howto.rst),
# 'replication' (see docs/workers.rst).
# 'metrics' (see docs/metrics-howto.md),
# 'replication' (see docs/workers.md).
#
# tls: set to true to enable TLS for this listener. Will use the TLS
# key/cert specified in tls_private_key_path / tls_certificate_path.
@ -172,12 +172,12 @@ federation_ip_range_blacklist:
#
# media: the media API (/_matrix/media).
#
# metrics: the metrics interface. See docs/metrics-howto.rst.
# metrics: the metrics interface. See docs/metrics-howto.md.
#
# openid: OpenID authentication.
#
# replication: the HTTP replication API (/_synapse/replication). See
# docs/workers.rst.
# docs/workers.md.
#
# static: static resources under synapse/static (/_matrix/static). (Mostly
# useful for 'fallback authentication'.)
@ -201,7 +201,7 @@ listeners:
# that unwraps TLS.
#
# If you plan to use a reverse proxy, please see
# https://github.com/matrix-org/synapse/blob/master/docs/reverse_proxy.rst.
# https://github.com/matrix-org/synapse/blob/master/docs/reverse_proxy.md.
#
- port: 8008
tls: false
@ -1520,7 +1520,7 @@ opentracing:
#enabled: true
# The list of homeservers we wish to send and receive span contexts and span baggage.
# See docs/opentracing.rst
# See docs/opentracing.md
# This is a list of regexes which are matched against the server_name of the
# homeserver.
#

249
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# TCP Replication
## Motivation
Previously the workers used an HTTP long poll mechanism to get updates
from the master, which had the problem of causing a lot of duplicate
work on the server. This TCP protocol replaces those APIs with the aim
of increased efficiency.
## Overview
The protocol is based on fire and forget, line based commands. An
example flow would be (where '>' indicates master to worker and
'<' worker to master flows):
> SERVER example.com
< REPLICATE events 53
> RDATA events 54 ["$foo1:bar.com", ...]
> RDATA events 55 ["$foo4:bar.com", ...]
The example shows the server accepting a new connection and sending its
identity with the `SERVER` command, followed by the client asking to
subscribe to the `events` stream from the token `53`. The server then
periodically sends `RDATA` commands which have the format
`RDATA <stream_name> <token> <row>`, where the format of `<row>` is
defined by the individual streams.
Error reporting happens by either the client or server sending an ERROR
command, and usually the connection will be closed.
Since the protocol is a simple line based, its possible to manually
connect to the server using a tool like netcat. A few things should be
noted when manually using the protocol:
- When subscribing to a stream using `REPLICATE`, the special token
`NOW` can be used to get all future updates. The special stream name
`ALL` can be used with `NOW` to subscribe to all available streams.
- The federation stream is only available if federation sending has
been disabled on the main process.
- The server will only time connections out that have sent a `PING`
command. If a ping is sent then the connection will be closed if no
further commands are receieved within 15s. Both the client and
server protocol implementations will send an initial PING on
connection and ensure at least one command every 5s is sent (not
necessarily `PING`).
- `RDATA` commands *usually* include a numeric token, however if the
stream has multiple rows to replicate per token the server will send
multiple `RDATA` commands, with all but the last having a token of
`batch`. See the documentation on `commands.RdataCommand` for
further details.
## Architecture
The basic structure of the protocol is line based, where the initial
word of each line specifies the command. The rest of the line is parsed
based on the command. For example, the RDATA command is defined as:
RDATA <stream_name> <token> <row_json>
(Note that <row_json> may contains spaces, but cannot contain
newlines.)
Blank lines are ignored.
### Keep alives
Both sides are expected to send at least one command every 5s or so, and
should send a `PING` command if necessary. If either side do not receive
a command within e.g. 15s then the connection should be closed.
Because the server may be connected to manually using e.g. netcat, the
timeouts aren't enabled until an initial `PING` command is seen. Both
the client and server implementations below send a `PING` command
immediately on connection to ensure the timeouts are enabled.
This ensures that both sides can quickly realize if the tcp connection
has gone and handle the situation appropriately.
### Start up
When a new connection is made, the server:
- Sends a `SERVER` command, which includes the identity of the server,
allowing the client to detect if its connected to the expected
server
- Sends a `PING` command as above, to enable the client to time out
connections promptly.
The client:
- Sends a `NAME` command, allowing the server to associate a human
friendly name with the connection. This is optional.
- Sends a `PING` as above
- For each stream the client wishes to subscribe to it sends a
`REPLICATE` with the `stream_name` and token it wants to subscribe
from.
- On receipt of a `SERVER` command, checks that the server name
matches the expected server name.
### Error handling
If either side detects an error it can send an `ERROR` command and close
the connection.
If the client side loses the connection to the server it should
reconnect, following the steps above.
### Congestion
If the server sends messages faster than the client can consume them the
server will first buffer a (fairly large) number of commands and then
disconnect the client. This ensures that we don't queue up an unbounded
number of commands in memory and gives us a potential oppurtunity to
squawk loudly. When/if the client recovers it can reconnect to the
server and ask for missed messages.
### Reliability
In general the replication stream should be considered an unreliable
transport since e.g. commands are not resent if the connection
disappears.
The exception to that are the replication streams, i.e. RDATA commands,
since these include tokens which can be used to restart the stream on
connection errors.
The client should keep track of the token in the last RDATA command
received for each stream so that on reconneciton it can start streaming
from the correct place. Note: not all RDATA have valid tokens due to
batching. See `RdataCommand` for more details.
### Example
An example iteraction is shown below. Each line is prefixed with '>'
or '<' to indicate which side is sending, these are *not* included on
the wire:
* connection established *
> SERVER localhost:8823
> PING 1490197665618
< NAME synapse.app.appservice
< PING 1490197665618
< REPLICATE events 1
< REPLICATE backfill 1
< REPLICATE caches 1
> POSITION events 1
> POSITION backfill 1
> POSITION caches 1
> RDATA caches 2 ["get_user_by_id",["@01register-user:localhost:8823"],1490197670513]
> RDATA events 14 ["$149019767112vOHxz:localhost:8823",
"!AFDCvgApUmpdfVjIXm:localhost:8823","m.room.guest_access","",null]
< PING 1490197675618
> ERROR server stopping
* connection closed by server *
The `POSITION` command sent by the server is used to set the clients
position without needing to send data with the `RDATA` command.
An example of a batched set of `RDATA` is:
> RDATA caches batch ["get_user_by_id",["@test:localhost:8823"],1490197670513]
> RDATA caches batch ["get_user_by_id",["@test2:localhost:8823"],1490197670513]
> RDATA caches batch ["get_user_by_id",["@test3:localhost:8823"],1490197670513]
> RDATA caches 54 ["get_user_by_id",["@test4:localhost:8823"],1490197670513]
In this case the client shouldn't advance their caches token until it
sees the the last `RDATA`.
### List of commands
The list of valid commands, with which side can send it: server (S) or
client (C):
#### SERVER (S)
Sent at the start to identify which server the client is talking to
#### RDATA (S)
A single update in a stream
#### POSITION (S)
The position of the stream has been updated. Sent to the client
after all missing updates for a stream have been sent to the client
and they're now up to date.
#### ERROR (S, C)
There was an error
#### PING (S, C)
Sent periodically to ensure the connection is still alive
#### NAME (C)
Sent at the start by client to inform the server who they are
#### REPLICATE (C)
Asks the server to replicate a given stream
#### USER_SYNC (C)
A user has started or stopped syncing
#### FEDERATION_ACK (C)
Acknowledge receipt of some federation data
#### REMOVE_PUSHER (C)
Inform the server a pusher should be removed
#### INVALIDATE_CACHE (C)
Inform the server a cache should be invalidated
#### SYNC (S, C)
Used exclusively in tests
See `synapse/replication/tcp/commands.py` for a detailed description and
the format of each command.
### Cache Invalidation Stream
The cache invalidation stream is used to inform workers when they need
to invalidate any of their caches in the data store. This is done by
streaming all cache invalidations done on master down to the workers,
assuming that any caches on the workers also exist on the master.
Each individual cache invalidation results in a row being sent down
replication, which includes the cache name (the name of the function)
and they key to invalidate. For example:
> RDATA caches 550953771 ["get_user_by_id", ["@bob:example.com"], 1550574873251]
However, there are times when a number of caches need to be invalidated
at the same time with the same key. To reduce traffic we batch those
invalidations into a single poke by defining a special cache name that
workers understand to mean to expand to invalidate the correct caches.
Currently the special cache names are declared in
`synapse/storage/_base.py` and are:
1. `cs_cache_fake` ─ invalidates caches that depend on the current
state

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@ -1,249 +0,0 @@
TCP Replication
===============
Motivation
----------
Previously the workers used an HTTP long poll mechanism to get updates from the
master, which had the problem of causing a lot of duplicate work on the server.
This TCP protocol replaces those APIs with the aim of increased efficiency.
Overview
--------
The protocol is based on fire and forget, line based commands. An example flow
would be (where '>' indicates master to worker and '<' worker to master flows)::
> SERVER example.com
< REPLICATE events 53
> RDATA events 54 ["$foo1:bar.com", ...]
> RDATA events 55 ["$foo4:bar.com", ...]
The example shows the server accepting a new connection and sending its identity
with the ``SERVER`` command, followed by the client asking to subscribe to the
``events`` stream from the token ``53``. The server then periodically sends ``RDATA``
commands which have the format ``RDATA <stream_name> <token> <row>``, where the
format of ``<row>`` is defined by the individual streams.
Error reporting happens by either the client or server sending an `ERROR`
command, and usually the connection will be closed.
Since the protocol is a simple line based, its possible to manually connect to
the server using a tool like netcat. A few things should be noted when manually
using the protocol:
* When subscribing to a stream using ``REPLICATE``, the special token ``NOW`` can
be used to get all future updates. The special stream name ``ALL`` can be used
with ``NOW`` to subscribe to all available streams.
* The federation stream is only available if federation sending has been
disabled on the main process.
* The server will only time connections out that have sent a ``PING`` command.
If a ping is sent then the connection will be closed if no further commands
are receieved within 15s. Both the client and server protocol implementations
will send an initial PING on connection and ensure at least one command every
5s is sent (not necessarily ``PING``).
* ``RDATA`` commands *usually* include a numeric token, however if the stream
has multiple rows to replicate per token the server will send multiple
``RDATA`` commands, with all but the last having a token of ``batch``. See
the documentation on ``commands.RdataCommand`` for further details.
Architecture
------------
The basic structure of the protocol is line based, where the initial word of
each line specifies the command. The rest of the line is parsed based on the
command. For example, the `RDATA` command is defined as::
RDATA <stream_name> <token> <row_json>
(Note that `<row_json>` may contains spaces, but cannot contain newlines.)
Blank lines are ignored.
Keep alives
~~~~~~~~~~~
Both sides are expected to send at least one command every 5s or so, and
should send a ``PING`` command if necessary. If either side do not receive a
command within e.g. 15s then the connection should be closed.
Because the server may be connected to manually using e.g. netcat, the timeouts
aren't enabled until an initial ``PING`` command is seen. Both the client and
server implementations below send a ``PING`` command immediately on connection to
ensure the timeouts are enabled.
This ensures that both sides can quickly realize if the tcp connection has gone
and handle the situation appropriately.
Start up
~~~~~~~~
When a new connection is made, the server:
* Sends a ``SERVER`` command, which includes the identity of the server, allowing
the client to detect if its connected to the expected server
* Sends a ``PING`` command as above, to enable the client to time out connections
promptly.
The client:
* Sends a ``NAME`` command, allowing the server to associate a human friendly
name with the connection. This is optional.
* Sends a ``PING`` as above
* For each stream the client wishes to subscribe to it sends a ``REPLICATE``
with the stream_name and token it wants to subscribe from.
* On receipt of a ``SERVER`` command, checks that the server name matches the
expected server name.
Error handling
~~~~~~~~~~~~~~
If either side detects an error it can send an ``ERROR`` command and close the
connection.
If the client side loses the connection to the server it should reconnect,
following the steps above.
Congestion
~~~~~~~~~~
If the server sends messages faster than the client can consume them the server
will first buffer a (fairly large) number of commands and then disconnect the
client. This ensures that we don't queue up an unbounded number of commands in
memory and gives us a potential oppurtunity to squawk loudly. When/if the client
recovers it can reconnect to the server and ask for missed messages.
Reliability
~~~~~~~~~~~
In general the replication stream should be considered an unreliable transport
since e.g. commands are not resent if the connection disappears.
The exception to that are the replication streams, i.e. RDATA commands, since
these include tokens which can be used to restart the stream on connection
errors.
The client should keep track of the token in the last RDATA command received
for each stream so that on reconneciton it can start streaming from the correct
place. Note: not all RDATA have valid tokens due to batching. See
``RdataCommand`` for more details.
Example
~~~~~~~
An example iteraction is shown below. Each line is prefixed with '>' or '<' to
indicate which side is sending, these are *not* included on the wire::
* connection established *
> SERVER localhost:8823
> PING 1490197665618
< NAME synapse.app.appservice
< PING 1490197665618
< REPLICATE events 1
< REPLICATE backfill 1
< REPLICATE caches 1
> POSITION events 1
> POSITION backfill 1
> POSITION caches 1
> RDATA caches 2 ["get_user_by_id",["@01register-user:localhost:8823"],1490197670513]
> RDATA events 14 ["$149019767112vOHxz:localhost:8823",
"!AFDCvgApUmpdfVjIXm:localhost:8823","m.room.guest_access","",null]
< PING 1490197675618
> ERROR server stopping
* connection closed by server *
The ``POSITION`` command sent by the server is used to set the clients position
without needing to send data with the ``RDATA`` command.
An example of a batched set of ``RDATA`` is::
> RDATA caches batch ["get_user_by_id",["@test:localhost:8823"],1490197670513]
> RDATA caches batch ["get_user_by_id",["@test2:localhost:8823"],1490197670513]
> RDATA caches batch ["get_user_by_id",["@test3:localhost:8823"],1490197670513]
> RDATA caches 54 ["get_user_by_id",["@test4:localhost:8823"],1490197670513]
In this case the client shouldn't advance their caches token until it sees the
the last ``RDATA``.
List of commands
~~~~~~~~~~~~~~~~
The list of valid commands, with which side can send it: server (S) or client (C):
SERVER (S)
Sent at the start to identify which server the client is talking to
RDATA (S)
A single update in a stream
POSITION (S)
The position of the stream has been updated. Sent to the client after all
missing updates for a stream have been sent to the client and they're now
up to date.
ERROR (S, C)
There was an error
PING (S, C)
Sent periodically to ensure the connection is still alive
NAME (C)
Sent at the start by client to inform the server who they are
REPLICATE (C)
Asks the server to replicate a given stream
USER_SYNC (C)
A user has started or stopped syncing
FEDERATION_ACK (C)
Acknowledge receipt of some federation data
REMOVE_PUSHER (C)
Inform the server a pusher should be removed
INVALIDATE_CACHE (C)
Inform the server a cache should be invalidated
SYNC (S, C)
Used exclusively in tests
See ``synapse/replication/tcp/commands.py`` for a detailed description and the
format of each command.
Cache Invalidation Stream
~~~~~~~~~~~~~~~~~~~~~~~~~
The cache invalidation stream is used to inform workers when they need to
invalidate any of their caches in the data store. This is done by streaming all
cache invalidations done on master down to the workers, assuming that any caches
on the workers also exist on the master.
Each individual cache invalidation results in a row being sent down replication,
which includes the cache name (the name of the function) and they key to
invalidate. For example::
> RDATA caches 550953771 ["get_user_by_id", ["@bob:example.com"], 1550574873251]
However, there are times when a number of caches need to be invalidated at the
same time with the same key. To reduce traffic we batch those invalidations into
a single poke by defining a special cache name that workers understand to mean
to expand to invalidate the correct caches.
Currently the special cache names are declared in ``synapse/storage/_base.py``
and are:
1. ``cs_cache_fake`` ─ invalidates caches that depend on the current state

123
docs/turn-howto.md Normal file
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@ -0,0 +1,123 @@
# Overview
This document explains how to enable VoIP relaying on your Home Server with
TURN.
The synapse Matrix Home Server supports integration with TURN server via the
[TURN server REST API](<http://tools.ietf.org/html/draft-uberti-behave-turn-rest-00>). This
allows the Home Server to generate credentials that are valid for use on the
TURN server through the use of a secret shared between the Home Server and the
TURN server.
The following sections describe how to install [coturn](<https://github.com/coturn/coturn>) (which implements the TURN REST API) and integrate it with synapse.
## `coturn` Setup
### Initial installation
The TURN daemon `coturn` is available from a variety of sources such as native package managers, or installation from source.
#### Debian installation
# apt install coturn
#### Source installation
1. Download the [latest release](https://github.com/coturn/coturn/releases/latest) from github. Unpack it and `cd` into the directory.
1. Configure it:
./configure
> You may need to install `libevent2`: if so, you should do so in
> the way recommended by your operating system. You can ignore
> warnings about lack of database support: a database is unnecessary
> for this purpose.
1. Build and install it:
make
make install
1. Create or edit the config file in `/etc/turnserver.conf`. The relevant
lines, with example values, are:
use-auth-secret
static-auth-secret=[your secret key here]
realm=turn.myserver.org
See `turnserver.conf` for explanations of the options. One way to generate
the `static-auth-secret` is with `pwgen`:
pwgen -s 64 1
1. Consider your security settings. TURN lets users request a relay which will
connect to arbitrary IP addresses and ports. The following configuration is
suggested as a minimum starting point:
# VoIP traffic is all UDP. There is no reason to let users connect to arbitrary TCP endpoints via the relay.
no-tcp-relay
# don't let the relay ever try to connect to private IP address ranges within your network (if any)
# given the turn server is likely behind your firewall, remember to include any privileged public IPs too.
denied-peer-ip=10.0.0.0-10.255.255.255
denied-peer-ip=192.168.0.0-192.168.255.255
denied-peer-ip=172.16.0.0-172.31.255.255
# special case the turn server itself so that client->TURN->TURN->client flows work
allowed-peer-ip=10.0.0.1
# consider whether you want to limit the quota of relayed streams per user (or total) to avoid risk of DoS.
user-quota=12 # 4 streams per video call, so 12 streams = 3 simultaneous relayed calls per user.
total-quota=1200
Ideally coturn should refuse to relay traffic which isn't SRTP; see
<https://github.com/matrix-org/synapse/issues/2009>
1. Ensure your firewall allows traffic into the TURN server on the ports
you've configured it to listen on (remember to allow both TCP and UDP TURN
traffic)
1. If you've configured coturn to support TLS/DTLS, generate or import your
private key and certificate.
1. Start the turn server:
bin/turnserver -o
## synapse Setup
Your home server configuration file needs the following extra keys:
1. "`turn_uris`": This needs to be a yaml list of public-facing URIs
for your TURN server to be given out to your clients. Add separate
entries for each transport your TURN server supports.
2. "`turn_shared_secret`": This is the secret shared between your
Home server and your TURN server, so you should set it to the same
string you used in turnserver.conf.
3. "`turn_user_lifetime`": This is the amount of time credentials
generated by your Home Server are valid for (in milliseconds).
Shorter times offer less potential for abuse at the expense of
increased traffic between web clients and your home server to
refresh credentials. The TURN REST API specification recommends
one day (86400000).
4. "`turn_allow_guests`": Whether to allow guest users to use the
TURN server. This is enabled by default, as otherwise VoIP will
not work reliably for guests. However, it does introduce a
security risk as it lets guests connect to arbitrary endpoints
without having gone through a CAPTCHA or similar to register a
real account.
As an example, here is the relevant section of the config file for matrix.org:
turn_uris: [ "turn:turn.matrix.org:3478?transport=udp", "turn:turn.matrix.org:3478?transport=tcp" ]
turn_shared_secret: n0t4ctuAllymatr1Xd0TorgSshar3d5ecret4obvIousreAsons
turn_user_lifetime: 86400000
turn_allow_guests: True
After updating the homeserver configuration, you must restart synapse:
cd /where/you/run/synapse
./synctl restart
..and your Home Server now supports VoIP relaying!

View File

@ -1,127 +0,0 @@
How to enable VoIP relaying on your Home Server with TURN
Overview
--------
The synapse Matrix Home Server supports integration with TURN server via the
TURN server REST API
(http://tools.ietf.org/html/draft-uberti-behave-turn-rest-00). This allows
the Home Server to generate credentials that are valid for use on the TURN
server through the use of a secret shared between the Home Server and the
TURN server.
This document describes how to install coturn
(https://github.com/coturn/coturn) which also supports the TURN REST API,
and integrate it with synapse.
coturn Setup
============
You may be able to setup coturn via your package manager, or set it up manually using the usual ``configure, make, make install`` process.
1. Check out coturn::
git clone https://github.com/coturn/coturn.git coturn
cd coturn
2. Configure it::
./configure
You may need to install ``libevent2``: if so, you should do so
in the way recommended by your operating system.
You can ignore warnings about lack of database support: a
database is unnecessary for this purpose.
3. Build and install it::
make
make install
4. Create or edit the config file in ``/etc/turnserver.conf``. The relevant
lines, with example values, are::
use-auth-secret
static-auth-secret=[your secret key here]
realm=turn.myserver.org
See turnserver.conf for explanations of the options.
One way to generate the static-auth-secret is with pwgen::
pwgen -s 64 1
5. Consider your security settings. TURN lets users request a relay
which will connect to arbitrary IP addresses and ports. At the least
we recommend::
# VoIP traffic is all UDP. There is no reason to let users connect to arbitrary TCP endpoints via the relay.
no-tcp-relay
# don't let the relay ever try to connect to private IP address ranges within your network (if any)
# given the turn server is likely behind your firewall, remember to include any privileged public IPs too.
denied-peer-ip=10.0.0.0-10.255.255.255
denied-peer-ip=192.168.0.0-192.168.255.255
denied-peer-ip=172.16.0.0-172.31.255.255
# special case the turn server itself so that client->TURN->TURN->client flows work
allowed-peer-ip=10.0.0.1
# consider whether you want to limit the quota of relayed streams per user (or total) to avoid risk of DoS.
user-quota=12 # 4 streams per video call, so 12 streams = 3 simultaneous relayed calls per user.
total-quota=1200
Ideally coturn should refuse to relay traffic which isn't SRTP;
see https://github.com/matrix-org/synapse/issues/2009
6. Ensure your firewall allows traffic into the TURN server on
the ports you've configured it to listen on (remember to allow
both TCP and UDP TURN traffic)
7. If you've configured coturn to support TLS/DTLS, generate or
import your private key and certificate.
8. Start the turn server::
bin/turnserver -o
synapse Setup
=============
Your home server configuration file needs the following extra keys:
1. "turn_uris": This needs to be a yaml list
of public-facing URIs for your TURN server to be given out
to your clients. Add separate entries for each transport your
TURN server supports.
2. "turn_shared_secret": This is the secret shared between your Home
server and your TURN server, so you should set it to the same
string you used in turnserver.conf.
3. "turn_user_lifetime": This is the amount of time credentials
generated by your Home Server are valid for (in milliseconds).
Shorter times offer less potential for abuse at the expense
of increased traffic between web clients and your home server
to refresh credentials. The TURN REST API specification recommends
one day (86400000).
4. "turn_allow_guests": Whether to allow guest users to use the TURN
server. This is enabled by default, as otherwise VoIP will not
work reliably for guests. However, it does introduce a security risk
as it lets guests connect to arbitrary endpoints without having gone
through a CAPTCHA or similar to register a real account.
As an example, here is the relevant section of the config file for
matrix.org::
turn_uris: [ "turn:turn.matrix.org:3478?transport=udp", "turn:turn.matrix.org:3478?transport=tcp" ]
turn_shared_secret: n0t4ctuAllymatr1Xd0TorgSshar3d5ecret4obvIousreAsons
turn_user_lifetime: 86400000
turn_allow_guests: True
Now, restart synapse::
cd /where/you/run/synapse
./synctl restart
...and your Home Server now supports VoIP relaying!

View File

@ -1,5 +1,4 @@
Scaling synapse via workers
===========================
# Scaling synapse via workers
Synapse has experimental support for splitting out functionality into
multiple separate python processes, helping greatly with scalability. These
@ -20,17 +19,16 @@ TCP protocol called 'replication' - analogous to MySQL or Postgres style
database replication; feeding a stream of relevant data to the workers so they
can be kept in sync with the main synapse process and database state.
Configuration
-------------
## Configuration
To make effective use of the workers, you will need to configure an HTTP
reverse-proxy such as nginx or haproxy, which will direct incoming requests to
the correct worker, or to the main synapse instance. Note that this includes
requests made to the federation port. See `<reverse_proxy.rst>`_ for
information on setting up a reverse proxy.
requests made to the federation port. See [reverse_proxy.md](reverse_proxy.md)
for information on setting up a reverse proxy.
To enable workers, you need to add two replication listeners to the master
synapse, e.g.::
synapse, e.g.:
listeners:
# The TCP replication port
@ -56,7 +54,7 @@ You then create a set of configs for the various worker processes. These
should be worker configuration files, and should be stored in a dedicated
subdirectory, to allow synctl to manipulate them. An additional configuration
for the master synapse process will need to be created because the process will
not be started automatically. That configuration should look like this::
not be started automatically. That configuration should look like this:
worker_app: synapse.app.homeserver
daemonize: true
@ -66,17 +64,17 @@ configuration file. You can then override configuration specific to that worker
e.g. the HTTP listener that it provides (if any); logging configuration; etc.
You should minimise the number of overrides though to maintain a usable config.
You must specify the type of worker application (``worker_app``). The currently
You must specify the type of worker application (`worker_app`). The currently
available worker applications are listed below. You must also specify the
replication endpoints that it's talking to on the main synapse process.
``worker_replication_host`` should specify the host of the main synapse,
``worker_replication_port`` should point to the TCP replication listener port and
``worker_replication_http_port`` should point to the HTTP replication port.
`worker_replication_host` should specify the host of the main synapse,
`worker_replication_port` should point to the TCP replication listener port and
`worker_replication_http_port` should point to the HTTP replication port.
Currently, the ``event_creator`` and ``federation_reader`` workers require specifying
``worker_replication_http_port``.
Currently, the `event_creator` and `federation_reader` workers require specifying
`worker_replication_http_port`.
For instance::
For instance:
worker_app: synapse.app.synchrotron
@ -97,15 +95,15 @@ For instance::
worker_log_config: /home/matrix/synapse/config/synchrotron_log_config.yaml
...is a full configuration for a synchrotron worker instance, which will expose a
plain HTTP ``/sync`` endpoint on port 8083 separately from the ``/sync`` endpoint provided
plain HTTP `/sync` endpoint on port 8083 separately from the `/sync` endpoint provided
by the main synapse.
Obviously you should configure your reverse-proxy to route the relevant
endpoints to the worker (``localhost:8083`` in the above example).
endpoints to the worker (`localhost:8083` in the above example).
Finally, to actually run your worker-based synapse, you must pass synctl the -a
commandline option to tell it to operate on all the worker configurations found
in the given directory, e.g.::
in the given directory, e.g.:
synctl -a $CONFIG/workers start
@ -114,28 +112,24 @@ synapse, unless you explicitly know it's safe not to. For instance, restarting
synapse without restarting all the synchrotrons may result in broken typing
notifications.
To manipulate a specific worker, you pass the -w option to synctl::
To manipulate a specific worker, you pass the -w option to synctl:
synctl -w $CONFIG/workers/synchrotron.yaml restart
## Available worker applications
Available worker applications
-----------------------------
``synapse.app.pusher``
~~~~~~~~~~~~~~~~~~~~~~
### `synapse.app.pusher`
Handles sending push notifications to sygnal and email. Doesn't handle any
REST endpoints itself, but you should set ``start_pushers: False`` in the
REST endpoints itself, but you should set `start_pushers: False` in the
shared configuration file to stop the main synapse sending these notifications.
Note this worker cannot be load-balanced: only one instance should be active.
``synapse.app.synchrotron``
~~~~~~~~~~~~~~~~~~~~~~~~~~~
### `synapse.app.synchrotron`
The synchrotron handles ``sync`` requests from clients. In particular, it can
handle REST endpoints matching the following regular expressions::
The synchrotron handles `sync` requests from clients. In particular, it can
handle REST endpoints matching the following regular expressions:
^/_matrix/client/(v2_alpha|r0)/sync$
^/_matrix/client/(api/v1|v2_alpha|r0)/events$
@ -151,20 +145,18 @@ load-balance across the instances, though it will be more efficient if all
requests from a particular user are routed to a single instance. Extracting
a userid from the access token is currently left as an exercise for the reader.
``synapse.app.appservice``
~~~~~~~~~~~~~~~~~~~~~~~~~~
### `synapse.app.appservice`
Handles sending output traffic to Application Services. Doesn't handle any
REST endpoints itself, but you should set ``notify_appservices: False`` in the
REST endpoints itself, but you should set `notify_appservices: False` in the
shared configuration file to stop the main synapse sending these notifications.
Note this worker cannot be load-balanced: only one instance should be active.
``synapse.app.federation_reader``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
### `synapse.app.federation_reader`
Handles a subset of federation endpoints. In particular, it can handle REST
endpoints matching the following regular expressions::
endpoints matching the following regular expressions:
^/_matrix/federation/v1/event/
^/_matrix/federation/v1/state/
@ -190,40 +182,36 @@ reverse-proxy configuration.
The `^/_matrix/federation/v1/send/` endpoint must only be handled by a single
instance.
``synapse.app.federation_sender``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
### `synapse.app.federation_sender`
Handles sending federation traffic to other servers. Doesn't handle any
REST endpoints itself, but you should set ``send_federation: False`` in the
REST endpoints itself, but you should set `send_federation: False` in the
shared configuration file to stop the main synapse sending this traffic.
Note this worker cannot be load-balanced: only one instance should be active.
``synapse.app.media_repository``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
### `synapse.app.media_repository`
Handles the media repository. It can handle all endpoints starting with::
Handles the media repository. It can handle all endpoints starting with:
/_matrix/media/
And the following regular expressions matching media-specific administration
APIs::
And the following regular expressions matching media-specific administration APIs:
^/_synapse/admin/v1/purge_media_cache$
^/_synapse/admin/v1/room/.*/media$
^/_synapse/admin/v1/quarantine_media/.*$
You should also set ``enable_media_repo: False`` in the shared configuration
You should also set `enable_media_repo: False` in the shared configuration
file to stop the main synapse running background jobs related to managing the
media repository.
Note this worker cannot be load-balanced: only one instance should be active.
``synapse.app.client_reader``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
### `synapse.app.client_reader`
Handles client API endpoints. It can handle REST endpoints matching the
following regular expressions::
following regular expressions:
^/_matrix/client/(api/v1|r0|unstable)/publicRooms$
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/joined_members$
@ -237,60 +225,55 @@ following regular expressions::
^/_matrix/client/versions$
^/_matrix/client/(api/v1|r0|unstable)/voip/turnServer$
Additionally, the following REST endpoints can be handled for GET requests::
Additionally, the following REST endpoints can be handled for GET requests:
^/_matrix/client/(api/v1|r0|unstable)/pushrules/.*$
Additionally, the following REST endpoints can be handled, but all requests must
be routed to the same instance::
be routed to the same instance:
^/_matrix/client/(r0|unstable)/register$
Pagination requests can also be handled, but all requests with the same path
room must be routed to the same instance. Additionally, care must be taken to
ensure that the purge history admin API is not used while pagination requests
for the room are in flight::
for the room are in flight:
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/messages$
``synapse.app.user_dir``
~~~~~~~~~~~~~~~~~~~~~~~~
### `synapse.app.user_dir`
Handles searches in the user directory. It can handle REST endpoints matching
the following regular expressions::
the following regular expressions:
^/_matrix/client/(api/v1|r0|unstable)/user_directory/search$
``synapse.app.frontend_proxy``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
### `synapse.app.frontend_proxy`
Proxies some frequently-requested client endpoints to add caching and remove
load from the main synapse. It can handle REST endpoints matching the following
regular expressions::
regular expressions:
^/_matrix/client/(api/v1|r0|unstable)/keys/upload
If ``use_presence`` is False in the homeserver config, it can also handle REST
endpoints matching the following regular expressions::
If `use_presence` is False in the homeserver config, it can also handle REST
endpoints matching the following regular expressions:
^/_matrix/client/(api/v1|r0|unstable)/presence/[^/]+/status
This "stub" presence handler will pass through ``GET`` request but make the
``PUT`` effectively a no-op.
This "stub" presence handler will pass through `GET` request but make the
`PUT` effectively a no-op.
It will proxy any requests it cannot handle to the main synapse instance. It
must therefore be configured with the location of the main instance, via
the ``worker_main_http_uri`` setting in the frontend_proxy worker configuration
file. For example::
the `worker_main_http_uri` setting in the `frontend_proxy` worker configuration
file. For example:
worker_main_http_uri: http://127.0.0.1:8008
### `synapse.app.event_creator`
``synapse.app.event_creator``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Handles some event creation. It can handle REST endpoints matching::
Handles some event creation. It can handle REST endpoints matching:
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/send
^/_matrix/client/(api/v1|r0|unstable)/rooms/.*/(join|invite|leave|ban|unban|kick)$

View File

@ -338,7 +338,7 @@ class ServerConfig(Config):
(
"The metrics_port configuration option is deprecated in Synapse 0.31 "
"in favour of a listener. Please see "
"http://github.com/matrix-org/synapse/blob/master/docs/metrics-howto.rst"
"http://github.com/matrix-org/synapse/blob/master/docs/metrics-howto.md"
" on how to configure the new listener."
)
)
@ -571,8 +571,8 @@ class ServerConfig(Config):
#
# type: the type of listener. Normally 'http', but other valid options are:
# 'manhole' (see docs/manhole.md),
# 'metrics' (see docs/metrics-howto.rst),
# 'replication' (see docs/workers.rst).
# 'metrics' (see docs/metrics-howto.md),
# 'replication' (see docs/workers.md).
#
# tls: set to true to enable TLS for this listener. Will use the TLS
# key/cert specified in tls_private_key_path / tls_certificate_path.
@ -607,12 +607,12 @@ class ServerConfig(Config):
#
# media: the media API (/_matrix/media).
#
# metrics: the metrics interface. See docs/metrics-howto.rst.
# metrics: the metrics interface. See docs/metrics-howto.md.
#
# openid: OpenID authentication.
#
# replication: the HTTP replication API (/_synapse/replication). See
# docs/workers.rst.
# docs/workers.md.
#
# static: static resources under synapse/static (/_matrix/static). (Mostly
# useful for 'fallback authentication'.)
@ -632,7 +632,7 @@ class ServerConfig(Config):
# that unwraps TLS.
#
# If you plan to use a reverse proxy, please see
# https://github.com/matrix-org/synapse/blob/master/docs/reverse_proxy.rst.
# https://github.com/matrix-org/synapse/blob/master/docs/reverse_proxy.md.
#
%(unsecure_http_bindings)s