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Dongjoon Hyun a3004d084c
[SPARK-25971][SQL] Ignore partition byte-size statistics in SQLQueryTestSuite 
## What changes were proposed in this pull request?

Currently, `SQLQueryTestSuite` is sensitive in terms of the bytes of parquet files in table partitions. If we change the default file format (from Parquet to ORC) or update the metadata of them, the test case should be changed accordingly. This PR aims to make `SQLQueryTestSuite` more robust by ignoring the partition byte statistics.
```
-Partition Statistics   1144 bytes, 2 rows
+Partition Statistics   [not included in comparison] bytes, 2 rows
```

## How was this patch tested?

Pass the Jenkins with the newly updated test cases.

Closes #22972 from dongjoon-hyun/SPARK-25971.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2018-11-08 03:40:28 -08:00
..
catalyst [SPARK-25952][SQL] Passing actual schema to JacksonParser 2018-11-08 14:48:23 +08:00
core [SPARK-25971][SQL] Ignore partition byte-size statistics in SQLQueryTestSuite 2018-11-08 03:40:28 -08:00
hive Revert "[SPARK-23831][SQL] Add org.apache.derby to IsolatedClientLoader" 2018-11-08 16:32:25 +08:00
hive-thriftserver [SPARK-25861][MINOR][WEBUI] Remove unused refreshInterval parameter from the headerSparkPage method. 2018-11-02 17:17:48 -05:00
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.