Hive is a data warehouse framework based on Hadoop, primarily used for data extraction, transformation, and loading (ETL) as well as metadata management in big data business scenarios.
Hive Structure:
Name | Description |
---|---|
HiveServer2 | HiveQL query server, which can be configured with Thrift or HTTP protocols to receive SQL requests submitted by JDBC clients, supporting multi-client concurrency and authentication. |
Hive MetaStore | Metadata management module, relied upon by other engines for storing metadata information such as Database and Table. Both Spark and Presto depend on this module for their metadata management. |
Noteļ¼ The HDFS service that hive-metastore and hive-server2 depend on must be the same one.
Applications can be installed with default configurations.
The application instance details can display resource topology and Pod instance information, allowing for operations such as updates and uninstallations. It also supports navigation to the hive-metastore monitoring panel to view monitoring metric information.
The application instance details can display resource topology and Pod instance information, allowing for operations such as updates and uninstallations. It also supports navigation to the hive-server2 monitoring panel to view monitoring metric information.