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Eugene Koifman c59e54fe0e [SPARK-35639][SQL] Add metrics about coalesced partitions to AQEShuffleRead in AQE 
### What changes were proposed in this pull request?

AQEShuffleReadExec already reports "number of skewed partitions" and "number of skewed partition splits".
It would be useful to also report "number of coalesced partitions" and for ShuffleExchange to report "number of partitions"
This way it's clear what happened on the map side and on the reduce side.

![Metrics](https://user-images.githubusercontent.com/4297661/126729820-cf01b3fa-7bc4-44a5-8098-91689766a68a.png)

### Why are the changes needed?

Improves usability

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

Yes, it now provides more information about `AQEShuffleReadExec` operator behavior in the metrics system.

### How was this patch tested?

Existing tests

Closes #32776 from ekoifman/PRISM-91635-customshufflereader-sql-metrics.

Authored-by: Eugene Koifman <eugene.koifman@workday.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 41a16ebf11)
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-07-28 13:50:04 +08:00
..
catalyst [SPARK-36275][SQL] ResolveAggregateFunctions should works with nested fields 2021-07-28 13:35:35 +08:00
core [SPARK-35639][SQL] Add metrics about coalesced partitions to AQEShuffleRead in AQE 2021-07-28 13:50:04 +08:00
hive Revert "[SPARK-36136][SQL][TESTS] Refactor PruneFileSourcePartitionsSuite etc to a different package" 2021-07-27 19:11:51 +09:00
hive-thriftserver [SPARK-36179][SQL] Support TimestampNTZType in SparkGetColumnsOperation 2021-07-20 09:49:25 +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
mkdocs.yml
README.md

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.