我们正在用芹菜运行气流 1.10.1。面对多个打开的连接。在 DAG 启动时 - UI 挂起几分钟。
突出:
- 所有节点均为裸机: CPU:40, MHz 2494.015, RAM 378G, 10Gb 网卡 -
- 数据库连接未被重复使用
- 连接仅在活动时保持打开状态 5
- 工作人员创建数百个连接,这些连接在 DB 清除它们之前保持打开状态(900 秒(
- 每个工人运行 100 根芹菜线
MySQL>显示全局状态,如"线程%";
+-------------------------+--------- +
| Variable_name | Value |
+-------------------------+--------- +
| Thread pool_idle_threads | 0 |
| Thread pool_threads | 0 |
| Threads_cached | 775 |
| Threads_connected | 5323 |
| Threads_created | 4846609 |
| Threads_running | 5 |
+-------------------------+--------- +
MySQL 连接:
31 - worker1
215 - worker2
349 - worker53
335 - worker54
347 - worker55
336 - worker56
336 - worker57
354 - worker58
339 - worker59
328 - worker60
333 - worker61
337 - worker62
2 - scheduler
工人.cfg
[core]
sql_alchemy_pool_size = 5
sql_alchemy_pool_recycle = 900
sql_alchemy_reconnect_timeout = 300
parallelism = 1200
dag_concurrency = 800
non_pooled_task_slot_count = 1200
max_active_runs_per_dag = 10
dagbag_import_timeout = 30
[celery]
worker_concurrency = 100
调度程序.cfg:
[core]
sql_alchemy_pool_size = 30
sql_alchemy_pool_recycle = 300
sql_alchemy_reconnect_timeout = 300
parallelism = 1200
dag_concurrency = 800
non_pooled_task_slot_count = 1200
max_active_runs_per_dag = 10
[scheduler]
job_heartbeat_sec = 5
scheduler_heartbeat_sec = 5
run_duration = 1800
min_file_process_interval = 10
min_file_parsing_loop_time = 1
dag_dir_list_interval = 300
print_stats_interval = 30
scheduler_zombie_task_threshold = 300
max_tis_per_query = 1024
max_threads = 29
另外,我正在运行 1000 个简单的任务,例如sleep
或ls
我们能够将连接从 1-10 从 700-800 断开
您可以做两件事:
- 设置
sql_alchemy_pool_enabled = False
- 设置与数据库不同的
result_backend
,在我们的例子中,我们使用 redis 作为result_backend
和 MySQL 作为主数据库