Fix #997: Added support for CELERYD_CONCURRENCY env var to control the number of worker processes

changes/changelog.d/997.enhancement

@@ -0,0 +1 @@
+Added support for CELERYD_CONCURRENCY env var to control the number of worker processes (#997)

deploy/docker-compose.yml

@@ -36,7 +36,7 @@ services:
     # of CPUs. You can adjust this, by explicitly setting the --concurrency
     # flag:
     #   celery -A funkwhale_api.taskapp worker -l INFO --concurrency=4
-    command: celery -A funkwhale_api.taskapp worker -l INFO
+    command: celery -A funkwhale_api.taskapp worker -l INFO --concurrency=${CELERYD_CONCURRENCY-0}
     environment:
       - C_FORCE_ROOT=true
     volumes:

deploy/env.prod.sample

@@ -86,6 +86,12 @@ REVERSE_PROXY_TYPE=nginx
 # For the Celery/asynchronous tasks part:
 #  CELERY_BROKER_URL=redis+socket:///run/redis/redis.sock?virtual_host=0
 
+# Number of worker processes to execute. Defaults to 0, in which case it uses your number of CPUs
+# Celery workers handle background tasks (such file imports or federation
+# messaging). The more processes a worker gets, the more tasks
+# can be processed in parallel. However, more processes also means
+# a bigger memory footprint.
+# CELERYD_CONCURRENCY=0
 
 # Where media files (such as album covers or audio tracks) should be stored
 # on your system?
@@ -175,4 +181,4 @@ AWS_STORAGE_BUCKET_NAME=
 # If you are using Amazon S3, use this setting to configure how long generated URLs should stay
 # valid. The default value is 3600 (60 minutes). The maximum accepted value is 604800 (7 days)
 
-# AWS_QUERYSTRING_EXPIRE=
+# AWS_QUERYSTRING_EXPIRE=

deploy/funkwhale-worker.service

@@ -8,15 +8,8 @@ User=funkwhale
 # adapt this depending on the path of your funkwhale installation
 WorkingDirectory=/srv/funkwhale/api
 EnvironmentFile=/srv/funkwhale/config/.env
-# Celery workers handle background tasks (such file imports or federation
-# messaging). The more processes a worker gets, the more tasks
-# can be processed in parallel. However, more processes also means
-# a bigger memory footprint.
-# By default, a worker will span a number of process equal to your number
-# of CPUs. You can adjust this, by explicitly setting the --concurrency
-# flag:
-#   celery -A funkwhale_api.taskapp worker -l INFO --concurrency=4
-ExecStart=/srv/funkwhale/virtualenv/bin/celery -A funkwhale_api.taskapp worker -l INFO
+ExecStart=/srv/funkwhale/virtualenv/bin/celery -A funkwhale_api.taskapp worker -l INFO --concurrency=${CELERYD_CONCURRENCY-0}
+
 
 [Install]
 WantedBy=multi-user.target

dev.yml

@@ -86,7 +86,7 @@ services:
       - postgres
       # - minio
       - redis
-    command: celery -A funkwhale_api.taskapp worker -l debug -B
+    command: celery -A funkwhale_api.taskapp worker -l debug -B --concurrency=${CELERYD_CONCURRENCY-0}
     environment:
       - "FUNKWHALE_HOSTNAME=${FUNKWHALE_HOSTNAME-localhost}"
       - "FUNKWHALE_HOSTNAME_SUFFIX=funkwhale.test"