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Oleksii Shkarupin 5b37092311
[SPARK-26538][SQL] Set default precision and scale for elements of postgres numeric array 
## What changes were proposed in this pull request?

When determining CatalystType for postgres columns with type `numeric[]` set the type of array element to `DecimalType(38, 18)` instead of `DecimalType(0,0)`.

## How was this patch tested?

Tested with modified `org.apache.spark.sql.jdbc.JDBCSuite`.
Ran the `PostgresIntegrationSuite` manually.

Closes #23456 from a-shkarupin/postgres_numeric_array.

Lead-authored-by: Oleksii Shkarupin <a.shkarupin@gmail.com>
Co-authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2019-01-12 11:06:39 -08:00
..
catalyst [SPARK-26503][CORE] Get rid of spark.sql.legacy.timeParser.enabled 2019-01-11 08:53:12 -06:00
core [SPARK-26538][SQL] Set default precision and scale for elements of postgres numeric array 2019-01-12 11:06:39 -08:00
hive [SPARK-26607][SQL][TEST] Remove Spark 2.2.x testing from HiveExternalCatalogVersionsSuite 2019-01-11 22:53:58 -08:00
hive-thriftserver [SPARK-26482][CORE] Use ConfigEntry for hardcoded configs for ui categories 2019-01-11 10:18:07 -08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 an extension of SQLContext called HiveContext that allows 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.