更新时间:2022-04-16 GMT+08:00
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创建并提交Spark作业

场景描述

本章节指导用户通过API创建并提交Spark作业。API的调用方法请参见如何调用API

约束限制

  • 新队列第一次运行作业时,需要一定的时间,通常为6~10分钟。

涉及接口

操作步骤

  1. 创建通用队列。具体请参考创建队列
  2. 上传分组资源。
    • 接口相关信息

      URI格式:POST /v2.0/{project_id}/resources

    • 请求示例
      • 描述:在项目ID为48cc2c48765f481480c7db940d6409d1的项目下上传gatk分组中的资源。
      • 示例URL:POST https://{endpoint}/v2.0/48cc2c48765f481480c7db940d6409d1/resources

        {endpoint}信息请从地区和终端节点获取。

      • Body:
        {
            "paths": [
                "https://xkftest.obs.huawei.com/txr_test/jars/spark-sdv-app.jar"
            ],
            "kind": "jar",
            "group": "gatk",
            "is_async":"true"
        }
    • 响应示例
      {
          "group_name": "gatk",
          "status": "READY",
          "resources": [
              "spark-sdv-app.jar",
              "wordcount",
              "wordcount.py"
          ],
          "details": [
              {
                  "create_time": 0,
                  "update_time": 0,
                  "resource_type": "jar",
                  "resource_name": "spark-sdv-app.jar",
                  "status": "READY",
                  "underlying_name": "987e208d-d46e-4475-a8c0-a62f0275750b_spark-sdv-app.jar"
              },
              {
                  "create_time": 0,
                  "update_time": 0,
                  "resource_type": "jar",
                  "resource_name": "wordcount",
                  "status": "READY",
                  "underlying_name": "987e208d-d46e-4475-a8c0-a62f0275750b_wordcount"
              },
              {
                  "create_time": 0,
                  "update_time": 0,
                  "resource_type": "jar",
                  "resource_name": "wordcount.py",
                  "status": "READY",
                  "underlying_name": "987e208d-d46e-4475-a8c0-a62f0275750b_wordcount.py"
              }
          ],
          "create_time": 1551334579654,
          "update_time": 1551345369070
      }
  3. 查看组内资源包。
    • 接口相关信息

      URI格式:GET /v2.0/{project_id}/resources/{resource_name}

    • 请求示例
      • 描述:查询项目ID为48cc2c48765f481480c7db940d6409d1下gatk组中的名为luxor-router-1.1.1.jar的资源包。
      • 示例URL:GET https://{endpoint}/v2.0/48cc2c48765f481480c7db940d6409d1/resources/luxor-router-1.1.1.jar?group=gatk

        {endpoint}信息请从地区和终端节点获取。

      • Body:
        {}
    • 响应示例
      {
          "create_time": 1522055409139,
          "update_time": 1522228350501,
          "resource_type": "jar",
          "resource_name": "luxor-router-1.1.1.jar",
          "status": "uploading",
          "underlying_name": "7885d26e-c532-40f3-a755-c82c442f19b8_luxor-router-1.1.1.jar",
          "owner": "****"
      }
  4. 创建并提交Spark批处理作业。
    • 接口相关信息

      URI格式:POST /v2.0/{project_id}/batches

    • 请求示例
      • 描述:在项目ID为48cc2c48765f481480c7db940d6409d1项目下,在队列queue1中创建名称为TestDemo4的批处理作业。
      • 示例URL:POST https://{endpoint}/v2.0/48cc2c48765f481480c7db940d6409d1/batches

        {endpoint}信息请从地区和终端节点获取。

      • Body:
        {
          "sc_type": "A",
          "jars": [
           
        "spark-examples_2.11-2.1.0.luxor.jar"
          ],
          "driverMemory": "1G",
          "driverCores": 1,
          "executorMemory": "1G",
          "executorCores": 1,
          "numExecutors": 1,
          "queue": "cce_general",
          "file":
        "spark-examples_2.11-2.1.0.luxor.jar",
          "className":
        "org.apache.spark.examples.SparkPi",
          "minRecoveryDelayTime": 10000,
          "maxRetryTimes": 20
        }
    • 响应示例
      {
        "id": "07a3e4e6-9a28-4e92-8d3f-9c538621a166",
        "appId": "",
        "name": "",
        "owner": "test1",
        "proxyUser": "",
        "state": "starting",
        "kind": "",
        "log": [],
        "sc_type": "CUSTOMIZED",
        "cluster_name": "aaa",
        "queue": "aaa",
        "image": "",
        "create_time": 1607589874156,
        "update_time": 1607589874156
      }
  5. 查询批处理作业状态。
    • 接口相关信息

      URI格式:GET /v2.0/{project_id}/batches/{batch_id}/state

    • 请求示例
      • 描述:查询项目ID为48cc2c48765f481480c7db940d6409d1项目下的ID为0a324461-d9d9-45da-a52a-3b3c7a3d809e的批处理作业状态。
      • 示例URL:GET https://{endpoint}/v2.0/48cc2c48765f481480c7db940d6409d1/batches/0a324461-d9d9-45da-a52a-3b3c7a3d809e/state

        {endpoint}信息请从地区和终端节点获取。

      • Body:
        {}
    • 响应示例
      {
         "id":"0a324461-d9d9-45da-a52a-3b3c7a3d809e",
         "state":"Success"
      }
  6. 查询批处理作业日志。
    • 接口相关信息

      URI格式:GET /v2.0/{project_id}/batches/{batch_id}/log

    • 请求示例
      • 描述:查询项目ID为48cc2c48765f481480c7db940d6409d1下的ID为0a324461-d9d9-45da-a52a-3b3c7a3d809e的批处理作业的后台日志。
      • 示例URL:GET https://{endpoint}/v2.0/48cc2c48765f481480c7db940d6409d1/batches/0a324461-d9d9-45da-a52a-3b3c7a3d809e/log

        {endpoint}信息请从地区和终端节点获取。

      • Body:
        {}
    • 响应示例
      {
          "id": "0a324461-d9d9-45da-a52a-3b3c7a3d809e",
          "from": 0,
          "total": 3,
          "log": [
                 "具体的作业日志信息"
          ]
      }
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