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ulysses-you b70c25881c [SPARK-36221][SQL] Make sure CustomShuffleReaderExec has at least one partition 
### What changes were proposed in this pull request?

* Add non-empty partition check in `CustomShuffleReaderExec`
* Make sure `OptimizeLocalShuffleReader` doesn't return empty partition

### Why are the changes needed?

Since SPARK-32083, AQE coalesce always return at least one partition, it should be robust to add non-empty check in `CustomShuffleReaderExec`.

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

No

### How was this patch tested?

not need

Closes #33431 from ulysses-you/non-empty-partition.

Authored-by: ulysses-you <ulyssesyou18@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-07-20 20:48:35 +08:00
..
catalyst [SPARK-36183][SQL] Push down limit 1 through Aggregate if it is group only 2021-07-20 20:24:07 +08:00
core [SPARK-36221][SQL] Make sure CustomShuffleReaderExec has at least one partition 2021-07-20 20:48:35 +08:00
hive [SPARK-36197][SQL] Use PartitionDesc instead of TableDesc for reading hive partitioned tables 2021-07-19 15:59:36 +08:00
hive-thriftserver [SPARK-36179][SQL] Support TimestampNTZType in SparkGetColumnsOperation 2021-07-20 09:48:58 +09:00
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 [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

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 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.