The first four file formats supported in Hive were plain text, sequence file, optimized row columnar (ORC) format and RCFile. SQL-like queries (HiveQL), which are implicitly converted into MapReduce or Tez, or Spark jobs.īy default, Hive stores metadata in an embedded Apache Derby database, and other client/server databases like MySQL can optionally be used.Hive supports extending the UDF set to handle use cases not supported by built-in functions. Built-in user-defined functions (UDFs) to manipulate dates, strings, and other data-mining tools.Operating on compressed data stored in the Hadoop ecosystem using algorithms including DEFLATE, BWT, snappy, etc.Metadata storage in a relational database management system, significantly reduces the time to perform semantic checks during query execution.Different storage types such as plain text, RCFile, HBase, ORC, and others.To accelerate queries, it provided indexes, but this feature was removed in version 3.0 All three execution engines can run in Hadoop's resource negotiator, YARN (Yet Another Resource Negotiator). It provides a SQL-like query language called HiveQL with schema on read and transparently converts queries to MapReduce, Apache Tez and Spark jobs. Features Īpache Hive supports the analysis of large datasets stored in Hadoop's HDFS and compatible file systems such as Amazon S3 filesystem and Alluxio. Amazon maintains a software fork of Apache Hive included in Amazon Elastic MapReduce on Amazon Web Services. While initially developed by Facebook, Apache Hive is used and developed by other companies such as Netflix and the Financial Industry Regulatory Authority (FINRA). Since most data warehousing applications work with SQL-based querying languages, Hive aids the portability of SQL-based applications to Hadoop. Hive provides the necessary SQL abstraction to integrate SQL-like queries ( HiveQL) into the underlying Java without the need to implement queries in the low-level Java API. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop. November 16, 2022 11 months ago ( ) Īpache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis.
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