E-MapReduce:Hive data source

Prerequisites

• A cluster that contains the Hive service, such as a DataLake cluster or a custom cluster, is created. For more information, see Create a cluster.

• A cluster that contains the StarRocks service, such as an online analytical processing (OLAP) cluster or a custom cluster, is created, and you have logged on to the cluster. For more information, see Create a cluster and Getting started.

Limits

The preceding clusters must be deployed in the same virtual private cloud (VPC) and zone.

Create a Hive catalog

Syntax

CREATE EXTERNAL CATALOG <catalog_name>
PROPERTIES
( 
  "key"="value", 
  ...
);

Parameter description

• catalog_name: the name of the Hive catalog. This parameter is required. The name must meet the following requirements:

  • The name can contain letters, digits, and underscores (_). It must start with a letter.

  • The name must be 1 to 64 characters in length.

• PROPERTIES: the properties of the Hive catalog. This parameter is required. The configurations of this parameter vary based on the metadata service that is used by the Hive data source. The following information describes the properties that you can configure for different metadata services:

  • Hive MetaStore

    Property	Required	Description
    type	Yes	The type of the data source. Set the value to hive.
    hive.metastore.uris	Yes	The URI of the Hive metastore. Specify the value in the following format: thrift://<IP address of the Hive metastore>:<Port number>. The default port number is 9083.

  • DLF

    For more information, see Access external tables whose metadata is stored in DLF.

Example

Execute the following statement to create a Hive catalog named hive_catalog:

CREATE EXTERNAL CATALOG hive_catalog
PROPERTIES
(
    "type" = "hive",
    "hudi.catalog.uris" = "thrift://xx.xx.xx.xx:9083"
);

Query data in a Hive table

Execute the following statement to query data in a specific table of a database:

SELECT * FROM <catalog_name>.<database_name>.<table_name>;

References

For more information about Hive, see Overview.