Thu. Dec 12th, 2019

Apache HBase 2.1.8 releases, distributed database

1 min read

Apache HBase™ is the Hadoop database, a distributed, scalable, big data store.

Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project’s goal is the hosting of very large tables — billions of rows X millions of columns — atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google’s Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.

Apache HBase

Features

  • Linear and modular scalability.
  • Strictly consistent reads and writes.
  • Automatic and configurable sharding of tables
  • Automatic failover support between RegionServers.
  • Convenient base classes for backing Hadoop MapReduce jobs with Apache HBase tables.
  • Easy to use Java API for client access.
  • Block cache and Bloom Filters for real-time queries.
  • Query predicate push down via server side Filters
  • Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options
  • Extensible jruby-based (JIRB) shell
  • Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX

Apache HBase 2.1.8 released.

Changelog

HBase 2.1.8 is the latest release of the HBase 2.1 line, continuing on the theme of bringing a stable, reliable database to the Apache Big Data ecosystem and beyond. 2.1.8 includes ~59 bug and improvement fixes done since the 2.1.7. We upgrade Jackson to 2.9.10.1 due to CVE-2019-16942 and CVE-2019-16943.

Download