spark-instrumented-optimizer/sql
Gabor Somogyi 1e63dcc8f0 [SPARK-33102][SQL] Use stringToSeq on SQL list typed parameters
### What changes were proposed in this pull request?
While I've implemented JDBC provider disable functionality it has been popped up [here](https://github.com/apache/spark/pull/29964#discussion_r501786746) that `Utils.stringToSeq` must be used when String list type SQL parameter handled. In this PR I've fixed the problematic parameters.

### Why are the changes needed?
`Utils.stringToSeq` must be used when String list type SQL parameter handled.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Existing unit tests.

Closes #29989 from gaborgsomogyi/SPARK-33102.

Authored-by: Gabor Somogyi <gabor.g.somogyi@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2020-10-10 13:53:09 +09:00
..
catalyst [SPARK-32896][SS] Add DataStreamWriter.table API 2020-10-09 03:01:54 -07:00
core [SPARK-33102][SQL] Use stringToSeq on SQL list typed parameters 2020-10-10 13:53:09 +09:00
hive [SPARK-33082][SPARK-20202][BUILD][SQL][FOLLOW-UP] Remove Hive 1.2 workarounds and Hive 1.2 profile in Jenkins script 2020-10-09 03:04:26 -07:00
hive-thriftserver [SPARK-33082][SQL] Remove hive-1.2 workaround code 2020-10-07 12:27:23 -07:00
create-docs.sh [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +09:00
gen-sql-config-docs.py [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
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.