Configuring search¶
Every command should be ran as the akkoma
user from it's home directory. For example if you are superuser, you would have to wrap the command in su akkoma -s $SHELL -lc "$COMMAND"
.
From source note about MIX_ENV
The mix
command should be prefixed with the name of environment your Akkoma server is running in, usually it's MIX_ENV=prod
Built-in search¶
To use built-in search that has no external dependencies, set the search module to Pleroma.Activity
:
config :pleroma, Pleroma.Search, module: Pleroma.Search.DatabaseSearch
While it has no external dependencies, it has problems with performance and relevancy.
Meilisearch¶
Note that it's quite a bit more memory hungry than PostgreSQL (around 4-5G for ~1.2 million posts while idle and up to 7G while indexing initially). The disk usage for this additional index is also around 4 gigabytes. Like RUM indexes, it offers considerably higher performance and ordering by timestamp in a reasonable amount of time. Additionally, the search results seem to be more accurate.
Due to high memory usage, it may be best to set it up on a different machine, if running pleroma on a low-resource computer, and use private key authentication to secure the remote search instance.
To use meilisearch, set the search module to Pleroma.Search.Meilisearch
:
config :pleroma, Pleroma.Search, module: Pleroma.Search.Meilisearch
You then need to set the address of the meilisearch instance, and optionally the private key for authentication. You might
also want to change the initial_indexing_chunk_size
to be smaller if you're server is not very powerful, but not higher than 100_000
,
because meilisearch will refuse to process it if it's too big. However, in general you want this to be as big as possible, because meilisearch
indexes faster when it can process many posts in a single batch.
config :pleroma, Pleroma.Search.Meilisearch, url: "http://127.0.0.1:7700/", private_key: "private key", initial_indexing_chunk_size: 100_000
Information about setting up meilisearch can be found in the
official documentation.
You probably want to start it with MEILI_NO_ANALYTICS=true
environment variable to disable analytics.
At least version 0.25.0 is required, but you are strongly adviced to use at least 0.26.0, as it introduces
the --enable-auto-batching
option which drastically improves performance. Without this option, the search
is hardly usable on a somewhat big instance.
Private key authentication (optional)¶
To set the private key, use the MEILI_MASTER_KEY
environment variable when starting. After setting the master key,
you have to get the private key, which is actually used for authentication.
./bin/pleroma_ctl search.meilisearch show-keys <your master key here>
mix pleroma.search.meilisearch show-keys <your master key here>
You will see a "Default Admin API Key", this is the key you actually put into your configuration file.
Initial indexing¶
After setting up the configuration, you'll want to index all of your already existsing posts. Only public posts are indexed. You'll only
have to do it one time, but it might take a while, depending on the amount of posts your instance has seen. This is also a fairly RAM
consuming process for meilisearch
, and it will take a lot of RAM when running if you have a lot of posts (seems to be around 5G for ~1.2
million posts while idle and up to 7G while indexing initially, but your experience may be different).
The sequence of actions is as follows:
- First, change the configuration to use
Pleroma.Search.Meilisearch
as the search backend - Restart your instance, at this point it can be used while the search indexing is running, though search won't return anything
- Start the initial indexing process (as described below with
index
), and wait until the task says it sent everything from the database to index - Wait until everything is actually indexed (by checking with
stats
as described below), at this point you don't have to do anything, just wait a while.
To start the initial indexing, run the index
command:
./bin/pleroma_ctl search.meilisearch index
mix pleroma.search.meilisearch index
This will show you the total amount of posts to index, and then show you the amount of posts indexed currently, until the numbers eventually
become the same. The posts are indexed in big batches and meilisearch will take some time to actually index them, even after you have
inserted all the posts into it. Depending on the amount of posts, this may be as long as several hours. To get information about the status
of indexing and how many posts have actually been indexed, use the stats
command:
./bin/pleroma_ctl search.meilisearch stats
mix pleroma.search.meilisearch stats
Clearing the index¶
In case you need to clear the index (for example, to re-index from scratch, if that needs to happen for some reason), you can
use the clear
command:
./bin/pleroma_ctl search.meilisearch clear
mix pleroma.search.meilisearch clear
This will clear all the posts from the search index. Note, that deleted posts are also removed from index by the instance itself, so there is no need to actually clear the whole index, unless you want all of it gone. That said, the index does not hold any information that cannot be re-created from the database, it should also generally be a lot smaller than the size of your database. Still, the size depends on the amount of text in posts.
Elasticsearch¶
Note: This requires at least ElasticSearch 7
As with meilisearch, this can be rather memory-hungry, but it is very good at what it does.
To use elasticsearch, set the search module to Pleroma.Search.Elasticsearch
:
config :pleroma, Pleroma.Search, module: Pleroma.Search.Elasticsearch
You then need to set the URL and authentication credentials if relevant.
config :pleroma, Pleroma.Search.Elasticsearch.Cluster, url: "http://127.0.0.1:9200/", username: "elastic", password: "changeme",
Initial indexing¶
After setting up the configuration, you'll want to index all of your already existsing posts. You'll only have to do it one time, but it might take a while, depending on the amount of posts your instance has seen.
The sequence of actions is as follows:
- First, change the configuration to use
Pleroma.Search.Elasticsearch
as the search backend - Restart your instance, at this point it can be used while the search indexing is running, though search won't return anything
- Start the initial indexing process (as described below with
index
), and wait until the task says it sent everything from the database to index - Wait until the index tasks exits
To start the initial indexing, run the build
command:
./bin/pleroma_ctl search import activities
mix pleroma.search import activities