You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Milan Dankovic (Jira)" <ji...@apache.org> on 2026/06/02 14:07:00 UTC
[jira] [Created] (SPARK-57215) Sql Scripting support for Spark SQL - followup
Milan Dankovic created SPARK-57215:
--------------------------------------
Summary: Sql Scripting support for Spark SQL - followup
Key: SPARK-57215
URL: https://issues.apache.org/jira/browse/SPARK-57215
Project: Spark
Issue Type: Umbrella
Components: Spark Core
Affects Versions: 4.3.0
Reporter: Milan Dankovic
Design doc for this feature is in attachment.
*High level example of Sql Script:*
{code:java}
BEGIN
DECLARE c INT = 10;
WHILE c > 0 DO
INSERT INTO tscript VALUES (c);
SET c = c - 1;
END WHILE;
END{code}
*High level motivation behind this feature:*
SQL Scripting gives customers the ability to develop complex ETL and analysis entirely in SQL. Until now, customers have had to write verbose SQL statements or combine SQL + Python to efficiently write business logic. Coming from another system, customers have to choose whether or not they want to migrate to pyspark. Some customers end up not using Spark because of this gap. SQL Scripting is a key milestone towards enabling SQL practitioners to write sophisticated queries, without the need to use pyspark. Further, SQL Scripting is a necessary step towards support for SQL Stored Procedures, and along with SQL Variables (released) and Temp Tables (in progress), will allow for more seamless data warehouse migrations.
*Work items classification:*
* M0 - basic support
* M1 - features and changes required to enable SQL Scripting by default
* M2 - follow-up improvements and additional functionalities that are non-fundamental and should not block M1
* M3 - potential improvements for the future, need investigation
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org