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Michael Allman a7e5aa6cd4
[SPARK-25406][SQL] For ParquetSchemaPruningSuite.scala, move calls to withSQLConf inside calls to test 
(Link to Jira: https://issues.apache.org/jira/browse/SPARK-25406)

## What changes were proposed in this pull request?

The current use of `withSQLConf` in `ParquetSchemaPruningSuite.scala` is incorrect. The desired configuration settings are not being set when running the test cases.

This PR fixes that defective usage and addresses the test failures that were previously masked by that defect.

## How was this patch tested?

I added code to relevant test cases to print the expected SQL configuration settings and found that the settings were not being set as expected. When I changed the order of calls to `test` and `withSQLConf` I found that the configuration settings were being set as expected.

Closes #22394 from mallman/spark-25406-fix_broken_schema_pruning_tests.

Authored-by: Michael Allman <msa@allman.ms>
Signed-off-by: DB Tsai <d_tsai@apple.com>
2018-09-13 17:08:45 +00:00
..
catalyst [SPARK-25415][SQL] Make plan change log in RuleExecutor configurable by SQLConf 2018-09-12 21:56:09 -07:00
core [SPARK-25406][SQL] For ParquetSchemaPruningSuite.scala, move calls to withSQLConf inside calls to test 2018-09-13 17:08:45 +00:00
hive [SPARK-25389][SQL] INSERT OVERWRITE DIRECTORY STORED AS should prevent duplicate fields 2018-09-11 08:57:42 -07:00
hive-thriftserver [SPARK-25183][SQL] Spark HiveServer2 to use Spark ShutdownHookManager 2018-08-31 14:45:29 +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.