spark-instrumented-optimizer/sql
Jungtaek Lim 9df850df9e [SPARK-36480][SS] SessionWindowStateStoreSaveExec should not filter input rows against watermark
### What changes were proposed in this pull request?

This PR proposes to remove the filter applying to input rows against watermark in SessionWindowStateStoreSaveExec, since SessionWindowStateStoreSaveExec is expected to store all inputs into state store, and apply eviction later.

### Why are the changes needed?

The code is logically not right, though I can't reproduce the actual problem.

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

No.

### How was this patch tested?

Existing tests. I can't come up with broken case failing on previous code, but we can review the logic instead.

Closes #33708 from HeartSaVioR/SPARK-36480.

Authored-by: Jungtaek Lim <kabhwan.opensource@gmail.com>
Signed-off-by: Liang-Chi Hsieh <viirya@gmail.com>
(cherry picked from commit fac4e5eb3e)
Signed-off-by: Liang-Chi Hsieh <viirya@gmail.com>
2021-08-11 20:11:07 -07:00
..
catalyst [SPARK-36445][SQL] ANSI type coercion rule for date time operations 2021-08-11 11:56:00 +08:00
core [SPARK-36480][SS] SessionWindowStateStoreSaveExec should not filter input rows against watermark 2021-08-11 20:11:07 -07:00
hive [SPARK-36421][SQL][DOCS] Use ConfigEntry.key to fix docs and set command results 2021-08-06 11:01:54 +09:00
hive-thriftserver [SPARK-36409][SQL][TESTS] Splitting test cases from datetime.sql 2021-08-06 12:55:31 +08:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py
mkdocs.yml
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 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, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.