Commit ee7e7ac4 authored by Mike Jang's avatar Mike Jang

Merge branch 'redis-production-documentation' into 'master'

Update Redis guidelines

See merge request gitlab-org/gitlab!41889
parents 780c94d7 c7235b75
......@@ -49,6 +49,7 @@
"Elasticsearch",
"Facebook",
"fastlane",
"fluent-plugin-redis-slowlog",
"GDK",
"Geo",
"Git LFS",
......
# Redis guidelines
GitLab uses [Redis](https://redis.io) for three distinct purposes:
GitLab uses [Redis](https://redis.io) for the following distinct purposes:
- Caching via `Rails.cache`.
- Caching (mostly via `Rails.cache`).
- As a job processing queue with [Sidekiq](sidekiq_style_guide.md).
- To manage the shared application state.
- As a Pub/Sub queue backend for ActionCable.
In most environments (including the GDK), all of these point to the same
Redis instance.
On GitLab.com, we use [separate Redis
instances](../administration/redis/replication_and_failover.md#running-multiple-redis-clusters).
(We do not currently use [ActionCable on
GitLab.com](https://gitlab.com/groups/gitlab-com/gl-infra/-/epics/228)).
Every application process is configured to use the same Redis servers, so they
can be used for inter-process communication in cases where [PostgreSQL](sql.md)
......@@ -21,11 +30,11 @@ to key names to avoid collisions. Typically we use colon-separated elements to
provide a semblance of structure at application level. An example might be
`projects:1:somekey`.
Although we split our Redis usage into three separate purposes, and those may
map to separate Redis servers in a [Highly Available](../administration/high_availability/redis.md)
configuration, the default Omnibus and GDK setups share a single Redis server.
This means that keys should **always** be globally unique across the three
purposes.
Although we split our Redis usage by purpose into distinct categories, and
those may map to separate Redis servers in a Highly Available
configuration like GitLab.com, the default Omnibus and GDK setups share
a single Redis server. This means that keys should **always** be
globally unique across all categories.
It is usually better to use immutable identifiers - project ID rather than
full path, for instance - in Redis key names. If full path is used, the key will
......@@ -56,3 +65,127 @@ Currently, we validate this in the development and test environments
with the [`RedisClusterValidator`](https://gitlab.com/gitlab-org/gitlab/-/blob/master/lib/gitlab/instrumentation/redis_cluster_validator.rb),
which is enabled for the `cache` and `shared_state`
[Redis instances](https://docs.gitlab.com/omnibus/settings/redis.html#running-with-multiple-redis-instances)..
## Redis in structured logging
Our [structured logging](logging.md#use-structured-json-logging) for web
requests and Sidekiq jobs contains fields for the duration, call count,
bytes written, and bytes read per Redis instance, along with a total for
all Redis instances. For a particular request, this might look like:
| Field | Value |
| --- | --- |
| `json.queue_duration_s` | 0.01 |
| `json.redis_cache_calls` | 1 |
| `json.redis_cache_duration_s` | 0 |
| `json.redis_cache_read_bytes` | 109 |
| `json.redis_cache_write_bytes` | 49 |
| `json.redis_calls` | 2 |
| `json.redis_duration_s` | 0.001 |
| `json.redis_read_bytes` | 111 |
| `json.redis_shared_state_calls` | 1 |
| `json.redis_shared_state_duration_s` | 0 |
| `json.redis_shared_state_read_bytes` | 2 |
| `json.redis_shared_state_write_bytes` | 206 |
| `json.redis_write_bytes` | 255 |
As all of these fields are indexed, it is then straightforward to
investigate Redis usage in production. For instance, to find the
requests that read the most data from the cache, we can just sort by
`redis_cache_read_bytes` in descending order.
### The slow log
On GitLab.com, entries from the [Redis
slow log](https://redis.io/commands/slowlog) are available in the
`pubsub-redis-inf-gprd*` index with the [`redis.slowlog`
tag](https://log.gprd.gitlab.net/app/kibana#/discover?_g=(filters:!(),refreshInterval:(pause:!t,value:0),time:(from:now-1d,to:now))&_a=(columns:!(json.type,json.command,json.exec_time),filters:!(('$state':(store:appState),meta:(alias:!n,disabled:!f,index:AWSQX_Vf93rHTYrsexmk,key:json.tag,negate:!f,params:(query:redis.slowlog),type:phrase),query:(match:(json.tag:(query:redis.slowlog,type:phrase))))),index:AWSQX_Vf93rHTYrsexmk)).
This shows commands that have taken a long time and may be a performance
concern.
The
[fluent-plugin-redis-slowlog](https://gitlab.com/gitlab-org/fluent-plugin-redis-slowlog)
project is responsible for taking the slowlog entries from Redis and
passing to fluentd (and ultimately Elasticsearch).
## Analyzing the entire keyspace
The [Redis Keyspace
Analyzer](https://gitlab.com/gitlab-com/gl-infra/redis-keyspace-analyzer)
project contains tools for dumping the full key list and memory usage of a Redis
instance, and then analyzing those lists while elimating potentially sensitive
data from the results. It can be used to find the most frequent key patterns, or
those that use the most memory.
Currently this is not run automatically for the GitLab.com Redis instances, but
is run manually on an as-needed basis.
## Utility classes
We have some extra classes to help with specific use cases. These are
mostly for fine-grained control of Redis usage, so they wouldn't be used
in combination with the `Rails.cache` wrapper: we'd either use
`Rails.cache` or these classes and literal Redis commands.
`Rails.cache` or these classes and literal Redis commands. We prefer
using `Rails.cache` so we can reap the benefits of future optimizations
done to Rails. It is worth noting that Ruby objects are
[marshalled](https://github.com/rails/rails/blob/v6.0.3.1/activesupport/lib/active_support/cache/redis_cache_store.rb#L447)
when written to Redis, so we need to pay attention to not to store huge
objects, or untrusted user input.
Typically we would only use these classes when at least one of the
following is true:
1. We want to manipulate data on a non-cache Redis instance.
1. `Rails.cache` does not support the operations we want to perform.
### `Gitlab::Redis::{Cache,SharedState,Queues}`
These classes wrap the Redis instances (using
[`Gitlab::Redis::Wrapper`](https://gitlab.com/gitlab-org/gitlab/blob/master/lib/gitlab/redis/wrapper.rb))
to make it convenient to work with them directly. The typical use is to
call `.with` on the class, which takes a block that yields the Redis
connection. For example:
```ruby
# Get the value of `key` from the shared state (persistent) Redis
Gitlab::Redis::SharedState.with { |redis| redis.get(key) }
# Check if `value` is a member of the set `key`
Gitlab::Redis::Cache.with { |redis| redis.sismember(key, value) }
```
### `Gitlab::Redis::Boolean`
In Redis, every value is a string.
[`Gitlab::Redis::Boolean`](https://gitlab.com/gitlab-org/gitlab/blob/master/lib/gitlab/redis/boolean.rb)
makes sure that booleans are encoded and decoded consistently.
### `Gitlab::Redis::HLL`
The Redis [`PFCOUNT`](https://redis.io/commands/pfcount),
[`PFADD`](https://redis.io/commands/pfadd), and
[`PFMERGE`](https://redis.io/commands/pfmergge) commands operate on
HyperLogLogs, a data structure that allows estimating the number of unique
elements with low memory usage. (In addition to the `PFCOUNT` documentation,
Thoughtbot's article on [HyperLogLogs in
Redis](https://thoughtbot.com/blog/hyperloglogs-in-redis) provides a good
background here.)
[`Gitlab::Redis::HLL`](https://gitlab.com/gitlab-org/gitlab/blob/master/lib/gitlab/redis/hll.rb)
provides a convenient interface for adding and counting values in HyperLogLogs.
### `Gitlab::SetCache`
For cases where we need to efficiently check the whether an item is in a group
of items, we can use a Redis set.
[`Gitlab::SetCache`](https://gitlab.com/gitlab-org/gitlab/blob/master/lib/gitlab/set_cache.rb)
provides an `#include?` method that will use the
[`SISMEMBER`](https://redis.io/commands/sismember) command, as well as `#read`
to fetch all entries in the set.
This is used by the
[`RepositorySetCache`](https://gitlab.com/gitlab-org/gitlab/blob/master/lib/gitlab/repository_set_cache.rb)
to provide a convenient way to use sets to cache repository data like branch
names.
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