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CodingCat a81fba048f [SPARK-18058][SQL] Comparing column types ignoring Nullability in Union and SetOperation 
## What changes were proposed in this pull request?

The PR tries to fix [SPARK-18058](https://issues.apache.org/jira/browse/SPARK-18058) which refers to a bug that the column types are compared with the extra care about Nullability in Union and SetOperation.

This PR converts the columns types by setting all fields as nullable before comparison

## How was this patch tested?

regular unit test cases

Author: CodingCat <zhunansjtu@gmail.com>

Closes #15595 from CodingCat/SPARK-18058.
2016-10-23 19:42:11 +02:00
..
catalyst [SPARK-18058][SQL] Comparing column types ignoring Nullability in Union and SetOperation 2016-10-23 19:42:11 +02:00
core [SPARK-18045][SQL][TESTS] Move HiveDataFrameAnalyticsSuite to package sql 2016-10-23 13:28:35 +02:00
hive [SPARK-18045][SQL][TESTS] Move HiveDataFrameAnalyticsSuite to package sql 2016-10-23 13:28:35 +02:00
hive-thriftserver [SPARK-17819][SQL] Support default database in connection URIs for Spark Thrift Server 2016-10-16 20:15:32 -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.