docker-compose - 如何使用prisma避免java.util.concurrent.ThreadPoolExecutor错误

Question

我目前正在一个大型项目中使用 Prisma。在执行复杂查询时，Prisma 集群经常会在 docker-logs 中出现以下消息(我正在编辑错误以提高可读性):

    {"key":"error/unhandled","requestId":"local:ck7ditux500570716cl5f8x3r","clientId":"default$default","payload":{"exception":"java.util.concurrent.RejectedExecutionException: Task slick.basic.BasicBackend$DatabaseDef$$anon$3@552b85a4 rejected from slick.util.AsyncExecutor$$anon$1$$anon$2@1d4391f7[Running, pool size = 9, active threads = 9, queued tasks = 1000, completed tasks = 43440]","query":"query ($where: TaskWhereUniqueInput!)
{\n  task(where: $where) {\n    workflow {\n      tasks {\n        id\n        state\n        parentReq\n        frozen\n        parentTask {\n          id\n          state\n        }\n      }\n    }\n  }\n}\n","variables":
"{\"where\":{\"id\":\"ck6twx873bs550874ne867066\"}}",
"code":"0","stack_trace":"java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2063)\\n
java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:830)
...
"message":"Task slick.basic.BasicBackend$DatabaseDef$$anon$3@552b85a4 rejected from slick.util.AsyncExecutor$$anon$1$$anon$2@1d4391f7[Running, pool size = 9, active threads = 9, queued tasks = 1000, completed tasks = 43440]"}}

这是处理大型查询时经常出现的错误。有没有人想出一种方法来配置 Prisma 或进行内部批处理操作来避免这种并发错误？

Answer 1

选项1:
我在循环中运行 Prisma 突变时遇到了这个问题，其中包含大量数据，这些数据似乎创建了太多并发数据库操作。
我的解决方案是限制请求:

thingToLoop.map(() => {
  await new Promise(resolve => setTimeout(resolve, 1000));
  // Prisma operation here. Essentially this just makes the operation wait for one second between each operation.
})

选项 2
我读过其他帖子，说您也可以设置并发连接数的限制。
见: https://v1.prisma.io/docs/1.25/prisma-server/database-connector-POSTGRES-jgfr/#overview
本质上，这会在创建过多连接时限制连接数。以下面的prisma配置为例:

PRISMA_CONFIG: |
  managementApiSecret: __YOUR_MANAGEMENT_API_SECRET__
  port: 4466
  databases:
    default:
      connector: postgres
      migrations: __ENABLE_DB_MIGRATIONS__
      host: __YOUR_DATABASE_HOST__
      port: __YOUR_DATABASE_PORT__
      user: __YOUR_DATABASE_USER__
      password: __YOUR_DATABASE_PASSWORD__
      connectionLimit: __YOUR_CONNECTION_LIMIT__