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Cheng Lian 7730426cb9 [SPARK-19409][SPARK-17213] Cleanup Parquet workarounds/hacks due to bugs of old Parquet versions 
## What changes were proposed in this pull request?

We've already upgraded parquet-mr to 1.8.2. This PR does some further cleanup by removing a workaround of PARQUET-686 and a hack due to PARQUET-363 and PARQUET-278. All three Parquet issues are fixed in parquet-mr 1.8.2.

## How was this patch tested?

Existing unit tests.

Author: Cheng Lian <lian@databricks.com>

Closes #16791 from liancheng/parquet-1.8.2-cleanup.
2017-02-06 09:10:55 +01:00
..
catalyst [SPARK-19425][SQL] Make ExtractEquiJoinKeys support UDT columns 2017-02-04 15:57:56 -08:00
core [SPARK-19409][SPARK-17213] Cleanup Parquet workarounds/hacks due to bugs of old Parquet versions 2017-02-06 09:10:55 +01:00
hive [SPARK-19279][SQL] Infer Schema for Hive Serde Tables and Block Creating a Hive Table With an Empty Schema 2017-02-06 13:30:07 +08:00
hive-thriftserver [SPARK-18857][SQL] Don't use Iterator.duplicate for incrementalCollect in Thrift Server 2017-01-10 13:27:55 +00:00
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.