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Yuming Wang 261e113449 [SPARK-28038][SQL][TEST] Port text.sql 
## What changes were proposed in this pull request?

This PR is to port text.sql from PostgreSQL regression tests. https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/text.sql

The expected results can be found in the link: https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/expected/text.out

When porting the test cases, found a PostgreSQL specific features that do not exist in Spark SQL:
[SPARK-28037](https://issues.apache.org/jira/browse/SPARK-28037): Add built-in String Functions: quote_literal

Also, found three inconsistent behavior:
[SPARK-27930](https://issues.apache.org/jira/browse/SPARK-27930): Spark SQL's format_string can not fully support PostgreSQL's format
[SPARK-28036](https://issues.apache.org/jira/browse/SPARK-28036):  Built-in udf left/right has inconsistent behavior
[SPARK-28033](https://issues.apache.org/jira/browse/SPARK-28033): String concatenation should low priority than other operators

## How was this patch tested?

N/A

Closes #24862 from wangyum/SPARK-28038.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-07-31 11:36:26 +09:00
..
catalyst [SPARK-28375][SQL] Make pullupCorrelatedPredicate idempotent 2019-07-30 16:29:24 -07:00
core [SPARK-28038][SQL][TEST] Port text.sql 2019-07-31 11:36:26 +09:00
hive [SPARK-25474][SQL] Support spark.sql.statistics.fallBackToHdfs in data source tables 2019-07-28 15:35:37 -07:00
hive-thriftserver [SPARK-28549][BUILD][CORE][SQL] Use text.StringEscapeUtils instead lang3.StringEscapeUtils 2019-07-29 11:45:29 +09:00
create-docs.sh
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml
README.md [SPARK-28473][DOC] Stylistic consistency of build command in README 2019-07-23 16:29:46 -07:00

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.