spark-instrumented-optimizer/sql
Wenchen Fan c0cfbb1743 [SPARK-35884][SQL] EXPLAIN FORMATTED for AQE
### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/29137 , which has some issues when running EXPLAIN FORMATTED
```
AdaptiveSparkPlan (13)
+- == Final Plan ==
   * HashAggregate (12)
   +- CustomShuffleReader (11)
      +- ShuffleQueryStage (10)
         +- Exchange (9)
            +- * HashAggregate (8)
               +- * Project (7)
                  +- * BroadcastHashJoin Inner BuildRight (6)
                     :- * LocalTableScan (1)
                     +- BroadcastQueryStage (5)
                        +- BroadcastExchange (4)
                           +- * Project (3)
                              +- * LocalTableScan (2)
+- == Initial Plan ==
   HashAggregate (unknown)
   +- Exchange (unknown)
      +- HashAggregate (unknown)
         +- Project (unknown)
            +- BroadcastHashJoin Inner BuildRight (unknown)
               :- Project (unknown)
               :  +- LocalTableScan (unknown)
               +- BroadcastExchange (unknown)
                  +- Project (3)
                     +- LocalTableScan (2)
```

Some nodes do not have an ID and show `unknown`. This PR fixes the issue.

### Why are the changes needed?

bug fix

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

EXPLAIN FORMATTED with AQE displays correctly.

### How was this patch tested?

new tests

Closes #33067 from cloud-fan/explain.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Liang-Chi Hsieh <viirya@gmail.com>
2021-06-25 00:18:26 -07:00
..
catalyst [SPARK-35883][SQL] Migrate ALTER TABLE RENAME COLUMN command to use UnresolvedTable to resolve the identifier 2021-06-25 05:53:56 +00:00
core [SPARK-35884][SQL] EXPLAIN FORMATTED for AQE 2021-06-25 00:18:26 -07:00
hive [SPARK-35747][CORE] Avoid printing full Exception stack trace, if Hbase/Kafka/Hive services are not running in a secure cluster 2021-06-23 23:12:02 -07:00
hive-thriftserver [SPARK-35838][BUILD][TESTS] Ensure all modules can be maven test independently in Scala 2.13 2021-06-22 06:31:24 -07:00
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 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.