spark-instrumented-optimizer/sql
Yuming Wang 4e61de4380 [SPARK-27863][SQL] Metadata files and temporary files should not be counted as data files
## What changes were proposed in this pull request?
[`DataSourceUtils.isDataPath(path)`](https://github.com/apache/spark/blob/v2.4.3/sql/core/src/main/scala/org/apache/spark/sql/execution/command/CommandUtils.scala#L95) should be `DataSourceUtils.isDataPath(status.getPath)`.

This pr fix this issue.

## How was this patch tested?

unit tests

Closes #24725 from wangyum/SPARK-27863.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-05-28 09:28:35 -07:00
..
catalyst [SPARK-27803][SQL][PYTHON] Fix column pruning for Python UDF 2019-05-27 21:39:59 +09:00
core [SPARK-27863][SQL] Metadata files and temporary files should not be counted as data files 2019-05-28 09:28:35 -07:00
hive [SPARK-27863][SQL] Metadata files and temporary files should not be counted as data files 2019-05-28 09:28:35 -07:00
hive-thriftserver [SPARK-27831][SQL][TEST][test-hadoop3.2] Move Hive test jars to maven dependency 2019-05-24 10:33:34 -07:00
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-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
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.