Apache Presto - HIVE Connector - The Hive connector allows querying data stored in a Hive data warehouse.
Feb 16, 2017 · One of the key differences between Presto and Hive, also a crucial functional requirement Facebook made when launching this new SQL engine project, was to have the opportunity to query different kinds of data sources via a uniform ANSI SQL interface. Presto, an open source distributed analytical SQL engine, implements this with it’s connector ...

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Presto WebUI¶ Since Presto is providing its own web-based UI, you can use the provided web URL to access the coordinator interface using a web browser. See Presto WebUI. In this example https://odas.it-infra.corp.internal:14050 is the URL for the Presto UI and can be copied to the clipboard using the icon next to the Presto endpoint heading: apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql Hive vs Presto

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Dec 04, 2019 · Presto is an extremely powerful distributed SQL query engine, so at some point you may consider using it to replace SQL-based ETL processes that you currently run on Apache Hive. Although it is completely possible, you should be aware of some limitations that may affect your SLAs. Databricks SQL Analytics guide; Databricks Workspace guide. Get started with Databricks Workspace; Language roadmaps. Python; R; Scala; SQL. SQL language. Databricks Runtime 7.x (Spark SQL 3.0) Databricks Runtime 5.5 LTS and 6.x (Spark SQL 2.x) Apache Hive compatibility; Use cases; Visualizations; Interoperability; Tools; Access control ...

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In MicroStrategy Analytics Enterprise 10, users can connect to Presto through JDBC as a data source for data import. Presto is a distributed SQL query engine that queries large data sets distributed from other data sources, such as Hive, MySQL, and PostgreSQL. Setting connector.name=hive-alluxio sets the connector type to the name of the new Alluxio connector for Presto, which is hive-alluxio. If you are using PrestoSQL version 332 or above and PrestoDB version 0.232 or above, support for Alluxio Catalog Service is built into the hive-hadoop2 connector, so you should set connector.name=hive-hadoop2 here.

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Presto has its technical roots in the Hadoop world at Facebook. Before Facebook created Presto performance challenges drove them to develop the software to achieve their objectives.

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Databricks SQL Analytics guide; Databricks Workspace guide. Get started with Databricks Workspace; Language roadmaps. Python; R; Scala; SQL. SQL language. Databricks Runtime 7.x (Spark SQL 3.0) Databricks Runtime 5.5 LTS and 6.x (Spark SQL 2.x) Apache Hive compatibility; Use cases; Visualizations; Interoperability; Tools; Access control ... Shaded version of Apache Hive JDBC driver for Presto - prestosql/presto-hive-jdbc. prestosql / presto-hive-jdbc. Watch 10. Star 0.

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At its essence, Hive was a query translation layer over Hadoop: it received queries in a SQL-like language called Hive-QL, and transformed them into a set of MapReduce jobs over data stored in HDFS on a Hadoop cluster. Hive was truly the first project of its kind. MySQL/Hive/Presto/Impala Transposition. hive> select uid, concat_ws(',', collect_set(CAST(tag AS STRING))) from test group by uid

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Apr 18, 2018 · Interestingly, both Presto and Apache Hive were originally created by Facebook. Presto came along after the social media giant realized it needed a quicker and more flexible alternative to Hive. Since it open-sourced the SQL engine, many big tech names have adopted to technology.

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