dataease / dataease/SQLBot

[BUG] Oracle 数据源偶发导致主进程阻塞,容器变为 unhealthy

Open
#1,360 1 comment 0 reactions 2 assignees View on GitHub

@xuwei-fit2cloud is already working on this.

Since Sep 9, 2026.

bug Done
Dominant language
JavaScript
Stars
6.8k
Forks
882
Avg merge
4h 37m
Merged PRs (30d)
32

Description

SQLBot Version
1.10.1
Run Mode
离线安装包

Describe the bug
使用 Oracle 数据源时,服务偶发进入 unhealthy。进程仍在,但主 API(8000,--workers 1)不再响应健康检查。
py-spy dump 抓主进程时,MainThread 卡在 Oracle 连接关闭 / 连接池 checkout:

  • ask_recommend_questionsLLMService.createget_version
  • SQLAlchemy pool checkout → oracledb.connection.close 阻塞

To Reproduce
Steps to reproduce the behavior:

  1. 配置 Oracle 数据源并正常问答
  2. 模拟网络抖动 / 防火墙短暂阻断,或让池内连接失效
  3. 触发推荐问题等会调用 get_version 的接口
  4. 观察容器变为 unhealthy;py-spy dump --pid <uvicorn:8000> 可见卡在 oracledb...close

Expected behavior
Oracle 连接异常应在超时后失败并返回错误,不应阻塞主进程导致整体 unhealthy。

Screenshots

root@f6b6cb8e3d19:/opt/sqlbot/app# ps aux |grep python
root 48 0.0 1.7 1559404 288132 ? Sl Aug31 5:14 /opt/sqlbot/app/.venv/bin/python /opt/sqlbot/app/.venv/bin/uvicorn main:mcp_app --host 0.0.0.0 --port 8001 --proxy-headers --forwarded-allow-ips=*
root 49 0.0 3.4 4600232 561412 ? Sl Aug31 6:33 /opt/sqlbot/app/.venv/bin/python /opt/sqlbot/app/.venv/bin/uvicorn main:app --host 0.0.0.0 --port 8000 --workers 1 --proxy-headers --forwarded-allow-ips=*
root 21299 0.0 0.0 6324 892 pts/0 S+ 09:13 0:00 grep python
root@f6b6cb8e3d19:/opt/sqlbot/app# py-spy dump --pid 49
Process 49: /opt/sqlbot/app/.venv/bin/python /opt/sqlbot/app/.venv/bin/uvicorn main:app --host 0.0.0.0 --port 8000 --workers 1 --proxy-headers --forwarded-allow-ips=*
Python v3.11.14 (/usr/local/bin/python3.11)

Thread 49 (idle): "MainThread"
_close (oracledb/connection.py:939)
close (oracledb/connection.py:1026)
do_close (sqlalchemy/engine/default.py:721)
do_terminate (sqlalchemy/engine/default.py:718)
_close_connection (sqlalchemy/pool/base.py:373)
__close (sqlalchemy/pool/base.py:883)
get_connection (sqlalchemy/pool/base.py:863)
checkout (sqlalchemy/pool/base.py:715)
_checkout (sqlalchemy/pool/base.py:1272)
connect (sqlalchemy/pool/base.py:448)
raw_connection (sqlalchemy/engine/base.py:3319)
init (sqlalchemy/engine/base.py:144)
connect (sqlalchemy/engine/base.py:3295)
_connection_for_bind (sqlalchemy/orm/session.py:1191)
_go (sqlalchemy/orm/state_changes.py:137)
_connection_for_bind (:2)
_connection_for_bind (sqlalchemy/orm/session.py:2113)
_execute_internal (sqlalchemy/orm/session.py:2261)
execute (sqlalchemy/orm/session.py:2373)
get_version (apps/db/db.py:434)
init (apps/chat/task/llm.py:182)
create (apps/chat/task/llm.py:238)
ask_recommend_questions (apps/chat/api/chat.py:209)
run_endpoint_function (fastapi/routing.py:212)
app (fastapi/routing.py:301)
app (starlette/routing.py:73)
wrapped_app (starlette/_exception_handler.py:42)
app (starlette/routing.py:76)
handle (starlette/routing.py:288)
app (starlette/routing.py:734)
call (starlette/routing.py:714)
wrapped_app (starlette/_exception_handler.py:42)
call (starlette/middleware/exceptions.py:62)
simple_response (starlette/middleware/cors.py:144)
call (starlette/middleware/cors.py:93)
coro (starlette/middleware/base.py:141)
_run_coro (anyio/_core/_tasks.py:275)
run (asyncio/runners.py:118)
asyncio_run (uvicorn/_compat.py:30)
run (uvicorn/server.py:77)
run (uvicorn/main.py:621)
main (uvicorn/main.py:490)
invoke (click/core.py:907)
invoke (click/core.py:1353)
main (click/core.py:1490)
call (click/core.py:1569)
(uvicorn:10)
Thread 107 (idle): "ThreadPoolExecutor-1_0"
_worker (concurrent/futures/thread.py:81)
run (threading.py:982)
_bootstrap_inner (threading.py:1045)
_bootstrap (threading.py:1002)
Thread 108 (idle): "ThreadPoolExecutor-1_1"
_worker (concurrent/futures/thread.py:81)
run (threading.py:982)
_bootstrap_inner (threading.py:1045)
_bootstrap (threading.py:1002)
Thread 110 (idle): "ThreadPoolExecutor-1_2"
_worker (concurrent/futures/thread.py:81)
run (threading.py:982)
_bootstrap_inner (threading.py:1045)
_bootstrap (threading.py:1002)
Thread 158 (idle): "ThreadPoolExecutor-3_0"
_worker (concurrent/futures/thread.py:81)
run (threading.py:982)
_bootstrap_inner (threading.py:1045)
_bootstrap (threading.py:1002)
Thread 164 (idle): "ThreadPoolExecutor-2_0"
_worker (concurrent/futures/thread.py:81)
run (threading.py:982)
_bootstrap_inner (threading.py:1045)
_bootstrap (threading.py:1002)
Thread 248 (idle): "ThreadPoolExecutor-3_1"
_worker (concurrent/futures/thread.py:81)
run (threading.py:982)
_bootstrap_inner (threading.py:1045)
_bootstrap (threading.py:1002)
Thread 249 (idle): "ThreadPoolExecutor-3_2"
_worker (concurrent/futures/thread.py:81)
run (threading.py:982)
_bootstrap_inner (threading.py:1045)
_bootstrap (threading.py:1002)
Thread 4387 (idle): "tqdm_monitor"
wait (threading.py:331)
wait (threading.py:629)
run (tqdm/_monitor.py:69)
_bootstrap_inner (threading.py:1045)
_bootstrap (threading.py:1002)
Thread 4388 (idle): "tqdm_monitor"
wait (threading.py:331)
wait (threading.py:629)
run (tqdm/_monitor.py:69)
_bootstrap_inner (threading.py:1045)
_bootstrap (threading.py:1002)
Thread 25124 (idle): "ThreadPoolExecutor-2_1"
_worker (concurrent/futures/thread.py:81)
run (threading.py:982)
_bootstrap_inner (threading.py:1045)
_bootstrap (threading.py:1002)
Thread 21251 (idle): "AnyIO worker thread"
wait (threading.py:327)
get (queue.py:171)
run (anyio/_backends/_asyncio.py:1022)
_bootstrap_inner (threading.py:1045)
_bootstrap (threading.py:1002)
Thread 21263 (idle): "AnyIO worker thread"
wait (threading.py:327)
get (queue.py:171)
run (anyio/_backends/_asyncio.py:1022)
_bootstrap_inner (threading.py:1045)
_bootstrap (threading.py:1002)
root@f6b6cb8e3d19:/opt/sqlbot/app#

Additional context
Add any other context about the problem here.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.