我们用的Redis实例正在填满，即使根据Flower的显示队列已经为空。这导致Redis数据库最终被填满，Celery抛出错误。
在Flower中，我看到任务进进出出，并且已经将工作人员增加到了队列始终为空的程度。
如果我运行
redis-cli --bigkeys，我可以看到：
# Scanning the entire keyspace to find biggest keys as well as
# average sizes per key type. You can use -i 0.1 to sleep 0.1 sec
# per 100 SCAN commands (not usually needed).
[00.00%] Biggest set found so far '_kombu.binding.my-queue-name-queue' with 1 members
[00.00%] Biggest list found so far 'default' with 611 items
[00.00%] Biggest list found so far 'my-other-queue-name-queue' with 44705 items
[00.00%] Biggest set found so far '_kombu.binding.celery.pidbox' with 19 members
[00.00%] Biggest list found so far 'my-queue-name-queue' with 727179 items
[00.00%] Biggest set found so far '_kombu.binding.celeryev' with 22 members
-------- summary -------
Sampled 12 keys in the keyspace!
Total key length in bytes is 271 (avg len 22.58)
Biggest list found 'my-queue-name-queue' has 727179 items
Biggest set found '_kombu.binding.celeryev' has 22 members
4 lists with 816144 items (33.33% of keys, avg size 204036.00)
0 hashs with 0 fields (00.00% of keys, avg size 0.00)
0 strings with 0 bytes (00.00% of keys, avg size 0.00)
0 streams with 0 entries (00.00% of keys, avg size 0.00)
8 sets with 47 members (66.67% of keys, avg size 5.88)
0 zsets with 0 members (00.00% of keys, avg size 0.00)
如果我使用LRANGE检查队列，我会看到很多这样的对象：
"{\"body\": \"W1syNDQ0NF0sIHsicmVmZXJlbmNlX3RpbWUiOiBudWxsLCAibGF0ZXN0X3RpbWUiOiBudWxsLCAicm9sbGluZyI6IGZhbHNlLCAidGltZWZyYW1lIjogIjFkIiwgIl9udW1fcmV0cmllcyI6IDF9LCB7ImNhbGxiYWNrcyI6IG51bGwsICJlcnJiYWNrcyI6IG51bGwsICJjaGFpbiI6IG51bGwsICJjaG9yZCI6IG51bGx9XQ==\", \"content-encoding\": \"utf-8\", \"content-type\": \"application/json\", \"headers\": {\"lang\": \"py\", \"task\": \"MyDataCollectorClass\", \"id\": \"646910fc-f9db-48c3-b5a9-13febbc00bde\", \"shadow\": null, \"eta\": \"2019-08-20T02:31:05.113875+00:00\", \"expires\": null, \"group\": null, \"retries\": 0, \"timelimit\": [null, null], \"root_id\": \"beeff557-66be-451d-9c0c-dc622ca94493\", \"parent_id\": \"374d8e3e-92b5-423e-be58-e043999a1722\", \"argsrepr\": \"(24444,)\", \"kwargsrepr\": \"{'reference_time': None, 'latest_time': None, 'rolling': False, 'timeframe': '1d', '_num_retries': 1}\", \"origin\": \"gen1@celery-my-queue-name-worker-6595bd8fd8-8vgzq\"}, \"properties\": {\"correlation_id\": \"646910fc-f9db-48c3-b5a9-13febbc00bde\", \"reply_to\": \"e55a31ed-cbba-3d79-9ffc-c19a29e77aac\", \"delivery_mode\": 2, \"delivery_info\": {\"exchange\": \"\", \"routing_key\": \"my-queue-name-queue\"}, \"priority\": 0, \"body_encoding\": \"base64\", \"delivery_tag\": \"a83074a5-8787-49e3-bb7d-a0e69ba7f599\"}}"
我们正在使用django-celery-results存储结果，所以这些不应该在那里，而我们正在为Django的缓存使用单独的Redis实例。
如果我用 FLUSHALL 清除Redis，它会慢慢填满。