Revision de6274a585fdc2eb9252dc5d5688ce3f3e9e0c39 authored by Holden Karau on 22 September 2017, 07:14:57 UTC, committed by Holden Karau on 22 September 2017, 07:15:12 UTC
## What changes were proposed in this pull request? Check JDK version (with javac) and use SPARK_VERSION for publish-release ## How was this patch tested? Manually tried local build with wrong JDK / JAVA_HOME & built a local release (LFTP disabled) Author: Holden Karau <holden@us.ibm.com> Closes #19312 from holdenk/improve-release-scripts-r2. (cherry picked from commit 8f130ad40178e35fecb3f2ba4a61ad23e6a90e3d) Signed-off-by: Holden Karau <holden@us.ibm.com>
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README.md
Spark SQL
=========
This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.
Spark SQL is broken up into four subprojects:
- Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
- Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
- Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
- HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.
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