Cloudera Impala
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Cloudera Impala
Apache Impala
Developer(s)Apache Software Foundation
Initial releaseApril 28, 2013; 5 years ago (2013-04-28)
Stable release
3.0.0 / May 7, 2018; 6 months ago (2018-05-07)
Repositoryhttps://github.com/apache/impala
Written inC++, Java
Operating systemCross-platform
TypeRelational Hadoop-analytics
LicenseApache License 2.0
Websiteimpala.apache.org

Apache Impala is an open source massively parallel processing (MPP) SQL query engine for data stored in a computer cluster running Apache Hadoop.[1] Impala has been described as the open-source equivalent of Google F1, which inspired its development in 2012.[2]

Description

Apache Impala is a query engine that runs on Apache Hadoop. The project was announced in October 2012 with a public beta test distribution[3][4] and became generally available in May 2013.[5]

Impala brings scalable parallel database technology to Hadoop, enabling users to issue low-latency SQL queries to data stored in HDFS and Apache HBase without requiring data movement or transformation. Impala is integrated with Hadoop to use the same file and data formats, metadata, security and resource management frameworks used by MapReduce, Apache Hive, Apache Pig and other Hadoop software.

Impala is promoted for analysts and data scientists to perform analytics on data stored in Hadoop via SQL or business intelligence tools. The result is that large-scale data processing (via MapReduce) and interactive queries can be done on the same system using the same data and metadata - removing the need to migrate data sets into specialized systems and/or proprietary formats simply to perform analysis.

Features include:

In early 2013, a column-oriented file format called Parquet was announced for architectures including Impala.[6] In December 2013, Amazon Web Services announced support for Impala.[7] In early 2014, MapR added support for Impala.[8] In 2015, another format called Kudu was announced, which Cloudera proposed to donate to the Apache Software Foundation along with Impala.[9] Impala graduated to an Apache Top-Level Project (TLP) on 28 November 2017[10] .

See also

  • Presto -- open source SQL query engine created by Facebook and supported by Teradata.
  • Dremel -- similar tool from Google
  • Apache Drill -- similar open source project inspired by Dremel
  • Cloudera -- Hadoop distribution responsible for the Apache Impala project

References

  1. ^ "Apache Impala". Retrieved 2017.
  2. ^ Cade Metz (October 24, 2012). "Man Busts Out of Google, Rebuilds Top-Secret Query Machine". Wired Magazine. Retrieved 2016.
  3. ^ Larry Digna (October 24, 2012). "Cloudera aims to bring real-time queries to Hadoop, big data". Between the lines blog. ZDNet. Retrieved 2014.
  4. ^ Andrew Brust (October 25, 2012). "Cloudera's Impala brings Hadoop to SQL and BI". ZDNet. Retrieved 2014.
  5. ^ Marcel Kornacker, Justin Erickson (May 1, 2013). "Cloudera Impala 1.0: It's Here, It's Real, It's Already the Standard for SQL on Hadoop". Retrieved 2014.
  6. ^ "Parquet: Columnar Storage for Hadoop". Project web site. 2013. Retrieved 2014.
  7. ^ "Announcing Support for Impala with Amazon Elastic MapReduce". Amazon.com. December 12, 2013. Retrieved 2014.
  8. ^ "Impala for MapR". MapR.com. February 2, 2014. Retrieved 2014.
  9. ^ David Ramel (November 18, 2015). "Cloudera to Donate Impala and Kudu Big Data Projects to Apache". Application Development Trends. Retrieved 2016.
  10. ^ "The Apache Software Foundation Announces Apache® Impala(TM) as a Top-Level Project". November 28, 2017. Retrieved 2017.

External links


  This article uses material from the Wikipedia page available here. It is released under the Creative Commons Attribution-Share-Alike License 3.0.

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