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sumansomasundar 7d51608835
[SPARK-16962][CORE][SQL] Fix misaligned record accesses for SPARC architectures 
## What changes were proposed in this pull request?

Made changes to record length offsets to make them uniform throughout various areas of Spark core and unsafe

## How was this patch tested?

This change affects only SPARC architectures and was tested on X86 architectures as well for regression.

Author: sumansomasundar <suman.somasundar@oracle.com>

Closes #14762 from sumansomasundar/master.
2016-10-04 10:31:56 +01:00
..
catalyst [SPARK-17702][SQL] Code generation including too many mutable states exceeds JVM size limit. 2016-10-03 21:48:58 -07:00
core [SPARK-16962][CORE][SQL] Fix misaligned record accesses for SPARC architectures 2016-10-04 10:31:56 +01:00
hive [SPARK-17773] Input/Output] Add VoidObjectInspector 2016-10-03 23:28:39 -07:00
hive-thriftserver [SPARK-17112][SQL] "select null" via JDBC triggers IllegalArgumentException in Thriftserver 2016-10-03 21:28:16 -07:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

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.