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The managed Apache Flink service on the LakeSail platform is deprecated.

LakeSail is building Sail, an open-source computation framework in Rust to seamlessly integrate stream-processing, batch-processing, and compute-intensive (AI) workloads. The LakeSail platform will offer the managed solution for Sail. Existing PySpark and Flink SQL workloads can be migrated with ease. Please stay tuned and contact us if you are interested!

FlinkApplicationSpec

The specification to create a Flink application.

Syntax

json
{
  "name": "string",
  "runtime": "FLINK_1_17 | FLINK_1_18",
  "jars": [
    "string"
  ],
  "plugins": [
    {
      "name": "string",
      "jars": [
        "string"
      ]
    }
  ],
  "flinkConfiguration": {
    "string": "string"
  },
  "logConfiguration": {
    "string": "string"
  },
  "jobManagerResource": {
    "cpu": 0,
    "memory": "string",
    "ephemeralStorage": "string"
  },
  "taskManagerResource": {
    "cpu": 0,
    "memory": "string",
    "ephemeralStorage": "string"
  },
  "job": {
    "jarUri": "string",
    "entryClass": "string",
    "args": [
      "string"
    ]
  }
}

Type Definition

  • Type object
  • Properties
    • name required

      The Flink application name.

    • runtime required

      The runtime of the Flink application.

    • jars required

      A list of JAR files to be used for the Flink application.

      • Type array
      • Items
        • Type string
    • plugins required

      A list of plugins to be used for the Flink application.

      • Type array
      • Items

        The configuration of a Flink plugin.

    • flinkConfiguration required

      The Flink configuration of the Flink application.

    • logConfiguration required

      The log configuration of the Flink application.

    • jobManagerResource required

      The resource configuration of the Flink JobManager containers.

    • taskManagerResource required

      The resource configuration of the Flink TaskManager containers.

    • job required

      The job specification of the Flink application.