submit_job

Submit a job to a Dataproc cluster by specifying project ID, region, cluster name, job type, main file, and optional arguments, JAR files, and properties. Supports Spark, PySpark, Hive, Pig, and Hadoop job types.

Instructions

Submit a job to a Dataproc cluster.

Args:
    project_id: Google Cloud project ID
    region: Dataproc region
    cluster_name: Target cluster name
    job_type: Type of job (spark, pyspark, spark_sql, hive, pig, hadoop)
    main_file: Main file/class for the job
    args: Job arguments
    jar_files: JAR files to include
    properties: Job properties

Input Schema

Name	Required	Description	Default
`args`	No
`cluster_name`	Yes
`jar_files`	No
`job_type`	Yes
`main_file`	Yes
`project_id`	Yes
`properties`	No
`region`	Yes

Input Schema (JSON Schema)

{
  "properties": {
    "args": {
      "default": null,
      "items": {
        "type": "string"
      },
      "title": "Args",
      "type": "array"
    },
    "cluster_name": {
      "title": "Cluster Name",
      "type": "string"
    },
    "jar_files": {
      "default": null,
      "items": {
        "type": "string"
      },
      "title": "Jar Files",
      "type": "array"
    },
    "job_type": {
      "title": "Job Type",
      "type": "string"
    },
    "main_file": {
      "title": "Main File",
      "type": "string"
    },
    "project_id": {
      "title": "Project Id",
      "type": "string"
    },
    "properties": {
      "additionalProperties": {
        "type": "string"
      },
      "default": null,
      "title": "Properties",
      "type": "object"
    },
    "region": {
      "title": "Region",
      "type": "string"
    }
  },
  "required": [
    "project_id",
    "region",
    "cluster_name",
    "job_type",
    "main_file"
  ],
  "title": "submit_jobArguments",
  "type": "object"
}

Dataproc MCP Server

submit_job

Instructions

Input Schema

Input Schema (JSON Schema)

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