| Developer(s) | Apache Software Foundation | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Initial release | March 28, 2008; 11 years ago | ||||||||||
| Stable release |
| ||||||||||
| Repository | HBase Repository | ||||||||||
| Written in | Java | ||||||||||
| Operating system | Cross-platform | ||||||||||
| Type | Distributed database | ||||||||||
| License | Apache License 2.0 | ||||||||||
| Website | hbase.apache.org |
How to Download Hbase tar file stable version. Step 1) Go to the link here to download HBase. It will open a webpage as shown below. Step 2) Select stable version as shown below 1.1.2 version. Step 3) Click on the hbase-1.1.2-bin.tar.gz. It will download tar file. Copy the tar file into an installation location. Hbase - Standalone mode. Apache HBase's data model. HBase also stores data in tables. The cells in an HBase table are organized by row keys and column families. Each column family has a set of storage properties (for example, row keys encryption and data compression rules). In addition, there are column qualifiers to ease data management. Neither row keys nor column.
HBase is an open-sourcenon-relationaldistributed database modeled after Google'sBigtable and written in Java. It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed File System) or Alluxio, providing Bigtable-like capabilities for Hadoop. That is, it provides a fault-tolerant way of storing large quantities of sparse data (small amounts of information caught within a large collection of empty or unimportant data, such as finding the 50 largest items in a group of 2 billion records, or finding the non-zero items representing less than 0.1% of a huge collection).
HBase features compression, in-memory operation, and Bloom filters on a per-column basis as outlined in the original Bigtable paper.[2] Tables in HBase can serve as the input and output for MapReduce jobs run in Hadoop, and may be accessed through the Java API but also through REST, Avro or Thrift gateway APIs. HBase is a column-oriented key-value data store and has been widely adopted because of its lineage with Hadoop and HDFS. HBase runs on top of HDFS and is well-suited for faster read and write operations on large datasets with high throughput and low input/output latency.
HBase is not a direct replacement for a classic SQLdatabase, however Apache Phoenix project provides a SQL layer for HBase as well as JDBC driver that can be integrated with various analytics and business intelligence applications. The Apache Trafodion project provides a SQL query engine with ODBC and JDBC drivers and distributed ACID transaction protection across multiple statements, tables and rows that use HBase as a storage engine.
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HBase is now serving several. Retrieved 7 September 2019.
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Bibliography[edit]
- Dimiduk, Nick; Khurana, Amandeep (28 November 2012). HBase in Action (1st ed.). Manning Publications. p. 350. ISBN978-1617290527.
- George, Lars (20 September 2011). HBase: The Definitive Guide (1st ed.). O'Reilly Media. p. 556. ISBN978-1449396107.
- Jiang, Yifeng (16 August 2012). HBase Administration Cookbook (1st ed.). Packt Publishing. p. 332. ISBN978-1849517140.
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External links[edit]
