- What is Hive?
Hive is a data warehousing and SQL-like query language for Hadoop. It provides a way to manage and query large datasets stored in the Hadoop Distributed File System (HDFS) or other storage systems supported by Hadoop, using a SQL-like language called HiveQL.
- What are the main components of Hive?
The main components of Hive are:
- HiveQL: Hive’s SQL-like query language.
- Hive Metastore: A database that stores metadata about Hive tables and partitions.
- HiveServer2: A service that provides a Thrift interface for clients to execute HiveQL queries.
- Hive CLI: A command-line interface for executing HiveQL queries.
- What are Hive tables and partitions?
Hive tables are logical structures that represent data stored in HDFS or other storage systems supported by Hadoop. Tables in Hive can be divided into partitions, which are sub-tables that contain data based on certain criteria (e.g., date, location, etc.). Partitions can be used to improve the performance of queries by only scanning the data that is relevant to the query.
- What are the main data types supported by Hive?
Hive supports the following data types:
- Primitive data types: INT, BIGINT, SMALLINT, TINYINT, BOOLEAN, FLOAT, DOUBLE, STRING, BINARY
- Complex data types: ARRAY, MAP, STRUCT, UNION