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Yuming Wang 90abfd15f4 [SPARK-18681][SQL] Fix filtering to compatible with partition keys of type int 
## What changes were proposed in this pull request?

Cloudera put `/var/run/cloudera-scm-agent/process/15000-hive-HIVEMETASTORE/hive-site.xml` as the configuration file for the Hive Metastore Server, where `hive.metastore.try.direct.sql=false`. But Spark isn't reading this configuration file and get default value `hive.metastore.try.direct.sql=true`. As mallman said, we should use `getMetaConf` method to obtain the original configuration from Hive Metastore Server. I have tested this method few times and the return value is always consistent with Hive Metastore Server.

## How was this patch tested?

The existing tests.

Author: Yuming Wang <wgyumg@gmail.com>

Closes #16122 from wangyum/SPARK-18681.
2016-12-12 23:38:36 +01:00
..
catalyst [SPARK-18752][HIVE] isSrcLocal" value should be set from user query. 2016-12-12 14:19:42 -08:00
core [SPARK-18752][HIVE] isSrcLocal" value should be set from user query. 2016-12-12 14:19:42 -08:00
hive [SPARK-18681][SQL] Fix filtering to compatible with partition keys of type int 2016-12-12 23:38:36 +01:00
hive-thriftserver [SPARK-18695] Bump master branch version to 2.2.0-SNAPSHOT 2016-12-02 21:09:37 -08:00
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.