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Dilip Biswal 9effc2cdcb [TESTS][SQL] Setup testdata at the beginning for tests to run independently 
## What changes were proposed in this pull request?

In CachedTableSuite, we are not setting up the test data at the beginning. Some tests fail while trying to run individually. When running the entire suite they run fine.

Here are some of the tests that fail -

- test("SELECT star from cached table")
- test("Self-join cached")

As part of this simplified a couple of tests by calling a support method to count the number of
InMemoryRelations.

## How was this patch tested?

Ran the failing tests individually.

Author: Dilip Biswal <dbiswal@us.ibm.com>

Closes #16688 from dilipbiswal/cachetablesuite_simple.
2017-01-25 21:50:45 -08:00
..
catalyst [SPARK-19311][SQL] fix UDT hierarchy issue 2017-01-25 08:17:24 -08:00
core [TESTS][SQL] Setup testdata at the beginning for tests to run independently 2017-01-25 21:50:45 -08:00
hive [SPARK-17913][SQL] compare atomic and string type column may return confusing result 2017-01-24 10:18:25 -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.