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Peter Toth 84dc374611 [SPARK-33303][SQL] Deduplicate deterministic PythonUDF calls 
### What changes were proposed in this pull request?
This PR modifies the `ExtractPythonUDFs` rule to deduplicate deterministic PythonUDF calls.

Before this PR the dataframe: `df.withColumn("c", batchedPythonUDF(col("a"))).withColumn("d", col("c"))` has the plan:
```
*(1) Project [value#1 AS a#4, pythonUDF1#15 AS c#7, pythonUDF1#15 AS d#10]
+- BatchEvalPython [dummyUDF(value#1), dummyUDF(value#1)], [pythonUDF0#14, pythonUDF1#15]
   +- LocalTableScan [value#1]
```
After this PR the deterministic PythonUDF calls are deduplicated:
```
*(1) Project [value#1 AS a#4, pythonUDF0#14 AS c#7, pythonUDF0#14 AS d#10]
+- BatchEvalPython [dummyUDF(value#1)], [pythonUDF0#14]
   +- LocalTableScan [value#1]
```

### Why are the changes needed?
To fix a performance issue.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
New and existing UTs.

Closes #30203 from peter-toth/SPARK-33303-deduplicate-deterministic-udf-calls.

Authored-by: Peter Toth <peter.toth@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2020-11-09 19:27:36 +09:00
..
catalyst [SPARK-33087][SQL] DataFrameWriterV2 should delegate table resolution to the analyzer 2020-11-09 08:08:00 +00:00
core [SPARK-33303][SQL] Deduplicate deterministic PythonUDF calls 2020-11-09 19:27:36 +09:00
hive [SPARK-33352][CORE][SQL][SS][MLLIB][AVRO][K8S] Fix procedure-like declaration compilation warnings in Scala 2.13 2020-11-08 12:51:48 -06:00
hive-thriftserver [SPARK-33352][CORE][SQL][SS][MLLIB][AVRO][K8S] Fix procedure-like declaration compilation warnings in Scala 2.13 2020-11-08 12:51:48 -06:00
create-docs.sh [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +09:00
gen-sql-config-docs.py [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +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.