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Cheng Lian 69626adddc [SPARK-16632][SQL] Revert PR #14272: Respect Hive schema when merging parquet schema 
## What changes were proposed in this pull request?

PR #14278 is a more general and simpler fix for SPARK-16632 than PR #14272. After merging #14278, we no longer need changes made in #14272. So here I revert them.

This PR targets both master and branch-2.0.

## How was this patch tested?

Existing tests.

Author: Cheng Lian <lian@databricks.com>

Closes #14300 from liancheng/revert-pr-14272.
2016-07-21 22:08:34 +08:00
..
catalyst [SPARK-16640][SQL] Add codegen for Elt function 2016-07-21 20:54:17 +08:00
core [SPARK-16632][SQL] Revert PR #14272: Respect Hive schema when merging parquet schema 2016-07-21 22:08:34 +08:00
hive [SPARK-16344][SQL] Decoding Parquet array of struct with a single field named "element" 2016-07-20 16:49:46 -07:00
hive-thriftserver [SPARK-16535][BUILD] In pom.xml, remove groupId which is redundant definition and inherited from the parent 2016-07-19 11:59:46 +01:00
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.