spark-instrumented-optimizer/sql
Jungtaek Lim (HeartSaVioR) 0d3d46db21 [SPARK-29999][SS] Handle FileStreamSink metadata correctly for empty partition
### What changes were proposed in this pull request?

This patch checks the existence of output file for each task while committing the task, so that it doesn't throw FileNotFoundException while creating SinkFileStatus. The check is newly required for DSv2 implementation of FileStreamSink, as it is changed to create the output file lazily (as an improvement).

JSON writer for example: 9ec2a4e58c/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JsonOutputWriter.scala (L49-L60)

### Why are the changes needed?

Without this patch, FileStreamSink throws FileNotFoundException when writing empty partition.

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

No.

### How was this patch tested?

Added UT.

Closes #26639 from HeartSaVioR/SPARK-29999.

Authored-by: Jungtaek Lim (HeartSaVioR) <kabhwan.opensource@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-11-24 15:31:06 -08:00
..
catalyst [SPARK-24690][SQL] Add a config to control plan stats computation in LogicalRelation 2019-11-24 08:30:24 -08:00
core [SPARK-29999][SS] Handle FileStreamSink metadata correctly for empty partition 2019-11-24 15:31:06 -08:00
hive [SPARK-29981][BUILD] Add hive-1.2/2.3 profiles 2019-11-23 10:02:22 -08:00
hive-thriftserver [SPARK-29981][BUILD][FOLLOWUP] Change hive.version.short 2019-11-23 12:50:50 -08:00
create-docs.sh
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
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.