Hive and HiveServer2

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Hive and HiveServer2 are closely related but serve different purposes within the Apache Hive ecosystem:

Hive

  • Definition: Hive is a data warehouse infrastructure built on top of Hadoop for querying and managing large datasets using SQL-like language called HiveQL.
  • Function: It provides a mechanism to project structure onto the data in Hadoop and to query that data using a SQL-like language.
  • Use Case: Hive is used to create, read, update, and delete data stored in HDFS (Hadoop Distributed File System).

HiveServer2

  • Definition: HiveServer2 is a service that enables clients to execute queries against Hive.
  • Function: It acts as a server that processes HiveQL queries and returns results to clients. It supports multi-client concurrency and authentication, making it suitable for handling multiple simultaneous connections1.
  • Use Case: HiveServer2 is used to provide a more robust and scalable interface for executing Hive queries, supporting JDBC and ODBC clients.

Key Differences

  • Concurrency: HiveServer2 supports multi-client concurrency, whereas the older HiveServer1 does not.
  • Authentication: HiveServer2 provides better support for authentication mechanisms like Kerberos, LDAP, and other pluggable implementations.
  • API Support: HiveServer2 supports common ODBC and JDBC drivers, making it easier to integrate with various applications.
  • Deprecation: HiveServer1 has been deprecated and replaced by HiveServer2.

In summary, Hive is the data warehouse and query language, while HiveServer2 is the server that allows clients to interact with Hive.

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