*     remote server accepted the request before the failure.
   * @throws IllegalStateException when the call has already been executed.
   */
  @Throws(IOException::class)
  fun execute(): Response

  /**
   * Schedules the request to be executed at some point in the future.
   *
   * The [dispatcher][OkHttpClient.dispatcher] defines when the request will run: usually

    this.daemon = daemon;
    return this;
  }

  /**
   * Sets the priority for new threads created with this ThreadFactory.
   *
   * <p><b>Warning:</b> relying on the thread scheduler is <a
   * href="http://errorprone.info/bugpattern/ThreadPriorityCheck">discouraged</a>.
   *
   * <p><b>Java 21+ users:</b> use {@link Thread.Builder.OfPlatform#priority(int)} instead.
   *

name: Test

on:
  push:
    branches:
      - master
  pull_request:
    types:
      - opened
      - synchronize
  schedule:
    # cron every week on monday
    - cron: "0 0 * * 1"

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"

        checkMethodBase(requestBody).delete("/api/admin/searchlist/query");
        refresh();

        for (String sId : getSchedulerIds(NAME_PREFIX)) {
            deleteMethod("/api/admin/scheduler/setting/" + sId);
        }

        for (String fId : getFileConfigIds(NAME_PREFIX)) {
            deleteMethod("/api/admin/fileconfig/setting/" + fId);
        }

        deleteTestToken();
    }

              return@withLock false
            }
          }
        if (failDueToMissingPong) {
          failConnection(null)
          return@schedule -1L
        } else {
          writePing(false, INTERVAL_PING, 0)
          return@schedule pingIntervalNanos
        }
      }
    }
  }

  /**
   * Returns the number of [open streams][Http2Stream.isOpen] on this connection.
   */

Kubernetes manages stateless Spark and Hive containers elastically on the compute nodes. Spark has native scheduler integration with Kubernetes. Hive, for legacy reasons, uses YARN scheduler on top of Kubernetes.

- 管理 UI: http://localhost:8080/admin/ （默认用户名/密码为 admin/admin）

![Admin UI](https://fess.codelibs.org/_images/fess_admin_dashboard.png)

您可以在管理 UI 的 (Web、文件、数据存储) 爬虫配置页面中注册爬取目标，然后在 [调度器页面](https://fess.codelibs.org/14.17/admin/scheduler-guide.html)手动启动爬虫。

## 从其他搜索提供商迁移

请参阅 [MIGRATION.md](MIGRATION.md)。

## 数据存储

当前，Fess 支持抓取以下[存储位置和 API](https://fess.codelibs.org/14.17/admin/dataconfig-guide.html)：

    if (plan is FailedPlan) return plan.result

    // Connect TCP asynchronously.
    tcpConnectsInFlight += plan
    val taskName = "$okHttpName connect ${routePlanner.address.url.redact()}"
    taskRunner.newQueue().schedule(
      object : Task(taskName) {
        override fun runOnce(): Long {
          val connectResult =
            try {
              plan.connectTcp()
            } catch (e: Throwable) {

            .build()

        val startNanos = System.nanoTime()
        val call = client.newCall(request)

        // Schedule a job to cancel the call in 1 second.
        executor.schedule({
          System.out.printf("%.2f Canceling call.%n", (System.nanoTime() - startNanos) / 1e9f)
          call.cancel()

                      return Thread.currentThread().getStackTrace().length;
                    }
                  },
                  directExecutor()));
        } else {
          // Otherwise, schedule a task on directExecutor
          unused =
              serializer.submit(
                  new Callable<@Nullable Void>() {
                    @Override
                    public @Nullable Void call() {