spark-instrumented-optimizer/sql
yi.wu 55b026a783 [SPARK-31504][SQL] Formatted Explain should have determined order of Output fields
### What changes were proposed in this pull request?

In `verboseStringWithOperatorId`, use `output` (it's `Seq[Attribute]`) instead of `producedAttributes` (it's `AttributeSet`) to generates `"Output"` for the leaf node in order to make `"Output"` determined.

### Why are the changes needed?

Currently, Formatted Explain use `producedAttributes`, the `AttributeSet`,  to generate `"Output"`. As a result, the fields order within `"Output"` can be different from time to time. It's That means, for the same plan, it could have different explain outputs.

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

Yes, user see the determined fields order within formatted explain now.

### How was this patch tested?

Added a regression test.

Closes #28282 from Ngone51/fix_output.

Authored-by: yi.wu <yi.wu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-04-21 12:33:58 +00:00
..
catalyst [SPARK-31474][SQL] Consistency between dayofweek/dow in extract exprsession and dayofweek function 2020-04-21 11:55:33 +00:00
core [SPARK-31504][SQL] Formatted Explain should have determined order of Output fields 2020-04-21 12:33:58 +00:00
hive [SPARK-31381][SPARK-29245][SQL] Upgrade built-in Hive 2.3.6 to 2.3.7 2020-04-20 13:38:24 -07:00
hive-thriftserver [SPARK-31381][SPARK-29245][SQL] Upgrade built-in Hive 2.3.6 to 2.3.7 2020-04-20 13:38:24 -07:00
create-docs.sh [SPARK-31429][SQL][DOC] Automatically generates a SQL document for built-in functions 2020-04-21 10:55:13 +09:00
gen-sql-api-docs.py [SPARK-31429][SQL][DOC] Automatically generates a SQL document for built-in functions 2020-04-21 10:55:13 +09:00
gen-sql-config-docs.py [SPARK-31429][SQL][DOC] Automatically generates a SQL document for built-in functions 2020-04-21 10:55:13 +09:00
gen-sql-functions-docs.py [SPARK-31429][SQL][DOC] Automatically generates a SQL document for built-in functions 2020-04-21 10:55:13 +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.