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Wenchen Fan f4b31c6068 [SPARK-36498][SQL] Reorder inner fields of the input query in byName V2 write 
### What changes were proposed in this pull request?

Today, when we write data to a v2 table with byName mode, we only reorder the top-level columns, not inner struct fields. This doesn't make sense as Spark should treat inner struct fields as the first-class citizen (e.g. nested column pruning, filter pushdown with nested columns).

This PR improves `TableOutputResolver` to reorder inner fields as well.

### Why are the changes needed?

better user-experience

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

yes, more queries are allowed to write to v2 tables.

### How was this patch tested?

new test

Closes #33728 from cloud-fan/reorder.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-08-16 15:08:08 +08:00
..
catalyst [SPARK-36498][SQL] Reorder inner fields of the input query in byName V2 write 2021-08-16 15:08:08 +08:00
core [SPARK-36491][SQL] Make from_json/to_json to handle timestamp_ntz type properly 2021-08-16 10:03:22 +03:00
hive [SPARK-36421][SQL][DOCS] Use ConfigEntry.key to fix docs and set command results 2021-08-06 11:01:47 +09:00
hive-thriftserver [SPARK-36410][CORE][SQL][STRUCTURED STREAMING][EXAMPLES] Replace anonymous classes with lambda expressions 2021-08-09 19:28:31 +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.