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Liang-Chi Hsieh 66afd869d1
[SPARK-26702][SQL][TEST] Create a test trait for Parquet and Orc test 
## What changes were proposed in this pull request?

For making test suite supporting both Parquet and Orc by reusing test cases, this patch extracts the methods for testing. For example, if we need to test a common feature shared by Parquet and Orc, we should be able to write test cases once and reuse them to test both formats.

This patch extracts the methods for testing and uses a variable `dataSourceName` to set up data format to test against with.

## How was this patch tested?

Existing tests.

Closes #23628 from viirya/datasource-test.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2019-01-29 07:31:42 -08:00
..
catalyst [SPARK-26747][SQL] Makes GetMapValue nullability more precise 2019-01-28 13:39:50 -08:00
core [SPARK-26702][SQL][TEST] Create a test trait for Parquet and Orc test 2019-01-29 07:31:42 -08:00
hive [SPARK-26716][SQL] FileFormat: the supported types of read/write should be consistent 2019-01-27 10:11:42 -08:00
hive-thriftserver [SPARK-26254][CORE] Extract Hive + Kafka dependencies from Core. 2019-01-25 10:36:00 -08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 allow 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.

Running sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.