spark-instrumented-optimizer/sql
Hyukjin Kwon a0e81fcfe8 [SPARK-26744][SPARK-26744][SQL][HOTFOX] Disable schema validation tests for FileDataSourceV2 (partially revert )
## What changes were proposed in this pull request?

This PR partially revert SPARK-26744.

60caa92dea and 4dce45a599 were merged at similar time range independently. So the test failures were not caught.

- 60caa92dea happened to add a schema reading logic in writing path for overwrite mode as well.

- 4dce45a599 added some tests with overwrite modes with migrated ORC v2.

And the tests looks starting to fail.

I guess the discussion won't be short (see https://github.com/apache/spark/pull/23606#discussion_r257675083) and this PR proposes to disable the tests added at 4dce45a599 to unblock other PRs for now.

## How was this patch tested?

Existing tests.

Closes #23828 from HyukjinKwon/SPARK-26744.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-02-18 21:13:00 +08:00
..
catalyst [SPARK-26666][SQL] Support DSv2 overwrite and dynamic partition overwrite. 2019-02-18 13:16:28 +08:00
core [SPARK-26744][SPARK-26744][SQL][HOTFOX] Disable schema validation tests for FileDataSourceV2 (partially revert ) 2019-02-18 21:13:00 +08:00
hive [SPARK-26897][SQL][TEST][FOLLOW-UP] Remove workaround for 2.2.0 and 2.1.x in HiveExternalCatalogVersionsSuite 2019-02-18 11:24:36 +08:00
hive-thriftserver [SPARK-24570][SQL] Implement Spark own GetTablesOperation to fix SQL client tools cannot show tables 2019-02-17 23:35:45 -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

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.