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Branden Smith 63bced9375 [SPARK-26745][SQL][TESTS] JsonSuite test case: empty line -> 0 record count 
## What changes were proposed in this pull request?

This PR consists of the `test` components of #23665 only, minus the associated patch from that PR.

It adds a new unit test to `JsonSuite` which verifies that the `count()` returned from a `DataFrame` loaded from JSON containing empty lines does not include those empty lines in the record count. The test runs `count` prior to otherwise reading data from the `DataFrame`, so as to catch future cases where a pre-parsing optimization might result in `count` results inconsistent with existing behavior.

This PR is intended to be deployed alongside #23667; `master` currently causes the test to fail, as described in [SPARK-26745](https://issues.apache.org/jira/browse/SPARK-26745).

## How was this patch tested?

Manual testing, existing `JsonSuite` unit tests.

Closes #23674 from sumitsu/json_emptyline_count_test.

Authored-by: Branden Smith <branden.smith@publicismedia.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
2019-02-06 13:55:19 +08:00
..
catalyst [SPARK-26805][SQL] Eliminate double checking of stringToDate and stringToTimestamp inputs 2019-02-02 18:20:16 -06:00
core [SPARK-26745][SQL][TESTS] JsonSuite test case: empty line -> 0 record count 2019-02-06 13:55:19 +08:00
hive [SPARK-26771][CORE][GRAPHX] Make .unpersist(), .destroy() consistently non-blocking by default 2019-02-01 18:29:55 -06:00
hive-thriftserver [SPARK-26751][SQL] Fix memory leak when statement run in background and throw exception which is not HiveSQLException 2019-02-03 08:45:57 -06:00
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.