spark-instrumented-optimizer/sql
Wenchen Fan db7b8651a1 [SPARK-31253][SQL][FOLLOW-UP] simplify the code of calculating size metrics of AQE shuffle
### What changes were proposed in this pull request?

A followup of https://github.com/apache/spark/pull/28175:
1. use mutable collection to store the driver metrics
2. don't send size metrics if there is no map stats, as UI will display size as 0 if there is no data
3. calculate partition data size separately, to make the code easier to read.

### Why are the changes needed?

code simplification

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

no

### How was this patch tested?

existing tests

Closes #28240 from cloud-fan/refactor.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Xingbo Jiang <xingbo.jiang@databricks.com>
2020-04-17 13:20:34 -07:00
..
catalyst [SPARK-31468][SQL] Null types should be implicitly casted to Decimal types 2020-04-17 14:11:17 +00:00
core [SPARK-31253][SQL][FOLLOW-UP] simplify the code of calculating size metrics of AQE shuffle 2020-04-17 13:20:34 -07:00
hive [SPARK-31425][SQL][CORE] UnsafeKVExternalSorter/VariableLengthRowBasedKeyValueBatch should also respect UnsafeAlignedOffset 2020-04-17 04:48:27 +00:00
hive-thriftserver [SPARK-31291][SQL][TEST][FOLLOWUP] Fix resource loading error in ThriftServerQueryTestSuite 2020-04-11 08:23:59 -07:00
create-docs.sh [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-api-docs.py [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-config-docs.py [SPARK-30840][CORE][SQL] Add version property for ConfigEntry and ConfigBuilder 2020-02-22 09:46:42 +09:00
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

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.