spark-instrumented-optimizer/sql
Jungtaek Lim (HeartSaVioR) 25431d79f7
[SPARK-29953][SS] Don't clean up source files for FileStreamSource if the files belong to the output of FileStreamSink
### What changes were proposed in this pull request?

This patch prevents the cleanup operation in FileStreamSource if the source files belong to the FileStreamSink. This is needed because the output of FileStreamSink can be read with multiple Spark queries and queries will read the files based on the metadata log, which won't reflect the cleanup.

To simplify the logic, the patch only takes care of the case of when the source path without glob pattern refers to the output directory of FileStreamSink, via checking FileStreamSource to see whether it leverages metadata directory or not to list the source files.

### Why are the changes needed?

Without this patch, if end users turn on cleanup option with the path which is the output of FileStreamSink, there may be out of sync between metadata and available files which may break other queries reading the path.

### Does this PR introduce any user-facing change?

No

### How was this patch tested?

Added UT.

Closes #26590 from HeartSaVioR/SPARK-29953.

Authored-by: Jungtaek Lim (HeartSaVioR) <kabhwan.opensource@gmail.com>
Signed-off-by: Shixiong Zhu <zsxwing@gmail.com>
2019-12-05 21:46:28 -08:00
..
catalyst [SPARK-29392][CORE][SQL][FOLLOWUP] Avoid deprecated (in 2.13) Symbol syntax 'foo in favor of simpler expression, where it generated deprecation warnings 2019-12-05 13:48:29 -08:00
core [SPARK-29953][SS] Don't clean up source files for FileStreamSource if the files belong to the output of FileStreamSink 2019-12-05 21:46:28 -08:00
hive [SPARK-29392][CORE][SQL][FOLLOWUP] Avoid deprecated (in 2.13) Symbol syntax 'foo in favor of simpler expression, where it generated deprecation warnings 2019-12-05 13:48:29 -08:00
hive-thriftserver [SPARK-28461][SQL] Pad Decimal numbers with trailing zeros to the scale of the column 2019-12-02 09:02:39 +09:00
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 [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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 extensions that allow 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.