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Version: Latest-3.2

CREATE RESOURCE

Description​

Creates resources. The following types of resources can be created: Apache Spark™, Apache Hive™, Apache Iceberg, Apache Hudi, and JDBC. Spark resources are used in Spark Load to manage loading information, such as YARN configurations, storage path of intermediate data, and Broker configurations. Hive, Iceberg, Hudi, and JDBC resources are used for managing data source access information involved in querying External tables.

tip
  • Only users with the SYSTEM-level CREATE RESOURCE privilege can perform this operation.
  • You can create JDBC resources only in StarRocks v2.3 and later.

Syntax​

CREATE [EXTERNAL] RESOURCE "resource_name"
PROPERTIES ("key"="value", ...)

Parameters​

  • resource_name: the name of the resource to create. For the naming conventions, see System limits.

  • PROPERTIES: specifies the properties of the resource type. The PROPERTIES vary depending on the resource type. See Examples for details.

Examples​

  1. Create a Spark resource named spark0 in yarn Cluster mode.

    CREATE EXTERNAL RESOURCE "spark0"
    PROPERTIES
    (
        "type" = "spark",
        "spark.master" = "yarn",
        "spark.submit.deployMode" = "cluster",
        "spark.jars" = "xxx.jar,yyy.jar",
        "spark.files" = "/tmp/aaa,/tmp/bbb",
        "spark.executor.memory" = "1g",
        "spark.yarn.queue" = "queue0",
        "spark.hadoop.yarn.resourcemanager.address" = "127.0.0.1:9999",
        "spark.hadoop.fs.defaultFS" = "hdfs://127.0.0.1:10000",
        "working_dir" = "hdfs://127.0.0.1:10000/tmp/starrocks",
        "broker" = "broker0",
        "broker.username" = "user0",
        "broker.password" = "password0"
    );

    Parameters related to Spark are as follows:

    1. spark.master: required. Currently, yarn and spark ://host:port. are supported. 
    2. spark.submit.deployMode: deployment mode of the Spark program is required. Support cluster and client.
    3. spark.hadoop.yarn.resourcemanager.address: required when master is yarn.
    4. spark.hadoop.fs.defaultFS: required when master is yarn.
    5. Other parameters are optional. Please refer to http://spark.apache.org/docs/latest/configuration.html

    If Spark is used for ETL, working_DIR and broker need to be specified. The instructions are as follows:

    working_dir: Directory used by ETL. It is required when spark is used as ETL resource. For example: hdfs://host:port/tmp/starrocks.
    broker: Name of broker. It is required when spark is used as ETL resource and needs to be configured beforehand by using `ALTER SYSTEM ADD BROKER` command. 
    broker.property_key: It is the property information needed to be specified when broker reads the intermediate files created by ETL.

  2. Create a Hive resource named hive0.

    CREATE EXTERNAL RESOURCE "hive0"
    PROPERTIES
    (
        "type" = "hive",
        "hive.metastore.uris" = "thrift://10.10.44.98:9083"
    );