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Max Gekk 7fa88b28a5 [SPARK-36807][SQL] Merge ANSI interval types to a tightest common type 
### What changes were proposed in this pull request?
In the PR, I propose to modify `StructType` to support merging of ANSI interval types with different fields.

### Why are the changes needed?
This will allow merging of schemas from different datasource files.

### Does this PR introduce _any_ user-facing change?
No, the ANSI interval types haven't released yet.

### How was this patch tested?
Added new test to `StructTypeSuite`.

Closes #34049 from MaxGekk/merge-ansi-interval-types.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
(cherry picked from commit d2340f8e1c)
Signed-off-by: Max Gekk <max.gekk@gmail.com>
2021-09-21 10:20:27 +03:00
..
catalyst [SPARK-36807][SQL] Merge ANSI interval types to a tightest common type 2021-09-21 10:20:27 +03:00
core Preparing development version 3.2.1-SNAPSHOT 2021-09-18 11:30:12 +00:00
hive Preparing development version 3.2.1-SNAPSHOT 2021-09-18 11:30:12 +00:00
hive-thriftserver Preparing development version 3.2.1-SNAPSHOT 2021-09-18 11:30:12 +00:00
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-36657][SQL] Update comment in 'gen-sql-config-docs.py' 2021-09-02 18:51:10 -07:00
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.