September 2016
Beginner to intermediate
326 pages
6h 47m
English
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Spark SQL as a distributed SQL engine
Spark SQL is generally used in two different ways. The first way is to use it as a library to write SQL, Hive QL, DSL, or to write queries in languages such as Java, Scala, Python, or R. The second way is to use it as a distributed SQL engine in which clients connect to a Thrift server and submit SQL or Hive QL queries using JDBC or ODBC interfaces. It is really useful for data warehousing users to write and execute queries from Business Intelligence (BI) tools interactively. So, Spark SQL can be used for data warehousing solutions as well a distributed SQL query engine.
Spark SQL's Thrift server for JDBC/ODBC access
Spark SQL's thrift server provides JDBC access to Spark SQL.
The Thrift JDBC server corresponds ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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