Software:Presto (SQL query engine)

From HandWiki
Revision as of 11:06, 9 February 2024 by John Stpola (talk | contribs) (linkage)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Short description: Distributed query engine
Presto
Original author(s)Martin Traverso, Dain Sundstrom, David Phillips, Eric Hwang
Initial release10 November 2013; 11 years ago (10 November 2013)
Written inJava
Operating systemCross-platform
Standard(s)SQL
TypeData warehouse
LicenseApache License 2.0
Website

Presto (including PrestoDB, and PrestoSQL which was re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWS S3, Alluxio, MySQL, MongoDB and Teradata,[1] and allows use of multiple data sources within a query. Presto is community-driven open-source software released under the Apache License.

History

Presto was originally designed and developed at Facebook, Inc. (later renamed Meta) for their data analysts to run interactive queries on its large data warehouse in Apache Hadoop. The first four developers were Martin Traverso, Dain Sundstrom, David Phillips, and Eric Hwang. Before Presto, the data analysts at Facebook relied on Apache Hive for running SQL analytics on their multi-petabyte data warehouse.[2] Hive was deemed too slow for Facebook's scale and Presto was invented to fill the gap to run fast queries.[3] Original development started in 2012 and deployed at Facebook later that year. In November 2013, Facebook announced its open source release.[3][4]

In 2014, Netflix disclosed they used Presto on 10 petabytes of data stored in the Amazon Simple Storage Service (S3).[5] In November, 2016, Amazon announced a service called Athena that was based on Presto.[6] In 2017, Teradata spun out a company called Starburst Data to commercially support Presto, which included staff acquired from Hadapt in 2014.[7] Teradata's QueryGrid software allowed Presto to access a Teradata relational database.[8]

In January 2019, the Presto Software Foundation was announced. The foundation is a not-for-profit organization for the advancement of the Presto open source distributed SQL query engine.[9][10] At the same time, Presto development forked: PrestoDB maintained by Facebook, and PrestoSQL maintained by the Presto Software Foundation, with some cross pollination of code.

In September 2019, Facebook donated PrestoDB to the Linux Foundation, establishing the Presto Foundation.[11] Neither the creators of Presto, nor the top contributors and committers, were invited to join this foundation.[12]

By 2020, all four of the original Presto developers had joined Starburst.[13] In December 2020, PrestoSQL was rebranded as Trino, since Facebook had obtained a trademark on the name "Presto" (also donated to the Linux Foundation).[14]

Another company called Ahana was announced in 2020 to commercialize the PrestoDB fork as a cloud service and was acquired by IBM in 2023.[15]

Architecture

Presto's architecture is very similar to other database management systems using cluster computing, sometimes called massively parallel processing (MPP). One coordinator works in sync with multiple workers. Clients submit SQL statements that are parsed and planned, following which parallel tasks are scheduled to workers. Workers jointly process rows from the data sources and produce results that are returned to the client. Compared to the original Apache Hive execution model which used the Hadoop MapReduce mechanism on each query, Presto does not write intermediate results to disk, resulting in a significant speed improvement. Presto is written in Java.

A Presto query can combine data from multiple sources. Presto offers connectors to data sources including files in Alluxio, Hadoop Distributed File System (often called a data lake), Amazon S3, MySQL, PostgreSQL, Microsoft SQL Server, Amazon Redshift, Apache Kudu, Apache Phoenix, Apache Kafka, Apache Cassandra, Apache Accumulo, MongoDB and Redis. Unlike other Hadoop distribution-specific tools, such as Apache Impala, Presto can work with any variant of Hadoop or without it. Presto supports separation of compute and storage and may be deployed on-premises or using cloud computing.

See also

References

  1. ↑ 1.1. Teradata Distribution of Presto — Teradata Distribution of Presto 0.167-t.0.2 Documentation
  2. ↑ Mike Volpi (November 20, 2019). "Starburst and Presto: with Stellar Velocity". Index Ventures Blog. https://www.indexventures.com/perspectives/starburst-and-presto-stellar-velocity/. 
  3. ↑ 3.0 3.1 Joab Jackson (November 6, 2013). "Facebook goes open source with query engine for big data". Computer World. http://www.computerworld.com/article/2485668/business-intelligence/facebook-goes-open-source-with-query-engine-for-big-data.html. 
  4. ↑ Jordan Novet (June 6, 2013). "Facebook unveils Presto engine for querying 250 PB data warehouse". Giga Om. https://gigaom.com/2013/06/06/facebook-unveils-presto-engine-for-querying-250-pb-data-warehouse/. 
  5. ↑ Eva Tse; Zhenxiao Luo; Nezih Yigitbasi (October 7, 2014). "Using Presto in our Big Data Platform on AWS". Netflix technical blog. http://techblog.netflix.com/2014/10/using-presto-in-our-big-data-platform.html. 
  6. ↑ Jeff Barr (November 30, 2016). "Amazon Athena – Interactive SQL Queries for Data in Amazon S3". AWS News Blog. https://aws.amazon.com/blogs/aws/amazon-athena-interactive-sql-queries-for-data-in-amazon-s3/. 
  7. ↑ Philip Howard (December 21, 2017). "Teradata spins off Starburst". Bloor. https://www.bloorresearch.com/2017/12/teradata-spins-off-starburst/. 
  8. ↑ Lindsay Clark (December 17, 2020). "Hey Presto! Teradata admits its vision is dead by hooking QueryGrid analytics platform up to rival data warehouses". The Register. https://www.theregister.com/2020/12/17/presto_teradata_querygrid/. 
  9. ↑ "Presto Software Foundation Launches to Advance Presto Open Source Community". Press release. January 31, 2019. https://www.prweb.com/releases/presto_software_foundation_launches_to_advance_presto_open_source_community/prweb16070792.htm. 
  10. ↑ "Presto's New Foundation Signals Growth for the Big Data SQL Engine" (in en-US). 2019-01-31. https://thenewstack.io/prestos-new-foundation-signals-growth-for-the-big-data-sql-engine/. 
  11. ↑ "Facebook, Uber, Twitter and Alibaba form Presto Foundation to Tackle Distributed Data Processing at Scale". 23 September 2019. https://www.linuxfoundation.org/press-release/2019/09/facebook-uber-twitter-and-alibaba-form-presto-foundation-to-tackle-distributed-data-processing-at-scale/. 
  12. ↑ Piotr Findeisen (November 22, 2019). "What's the relationship between prestosql and prestodb?". Comment on issue #38 of Trino Github. https://github.com/trinodb/trino/issues/380#issuecomment-557691046. 
  13. ↑ "Original Presto Co-Creators Reunite on the Starburst Technical Leadership Team". Press release. September 22, 2020. https://www.businesswire.com/news/home/20200922005809/en/Original-Presto-Co-Creators-Reunite-on-the-Starburst-Technical-Leadership-Team. 
  14. ↑ Martin Traverso, Dain Sundstrom, David Phillips (December 27, 2020). "We're rebranding PrestoSQL as Trino". Trino blog. https://trino.io/blog/2020/12/27/announcing-trino.html. 
  15. ↑ Gillin, Paul (14 April 2023). "IBM acquires Ahana, joins the Presto Foundation". https://siliconangle.com/2023/04/14/ibm-acquires-ahana-joins-presto-foundation/. 

External links



Retrieved from "https://handwiki.org/wiki/index.php?title=Software:Presto_(SQL_query_engine)&oldid=3458074"