a469976e6e
### What changes were proposed in this pull request? In the PR, I propose to throw `AnalysisException` when a removed SQL config is set to non-default value. The following SQL configs removed by #26559 are marked as removed: 1. `spark.sql.fromJsonForceNullableSchema` 2. `spark.sql.legacy.compareDateTimestampInTimestamp` 3. `spark.sql.legacy.allowCreatingManagedTableUsingNonemptyLocation` ### Why are the changes needed? To improve user experience with Spark SQL by notifying of removed SQL configs used by users. ### Does this PR introduce any user-facing change? Yes, before the `set` command was silently ignored: ```sql spark-sql> set spark.sql.fromJsonForceNullableSchema=false; spark.sql.fromJsonForceNullableSchema false ``` after the exception should be raised: ```sql spark-sql> set spark.sql.fromJsonForceNullableSchema=false; Error in query: The SQL config 'spark.sql.fromJsonForceNullableSchema' was removed in the version 3.0.0. It was removed to prevent errors like SPARK-23173 for non-default value.; ``` ### How was this patch tested? Added new tests into `SQLConfSuite` for both cases when removed SQL configs are set to default and non-default values. Closes #27057 from MaxGekk/remove-sql-configs-followup. Authored-by: Maxim Gekk <max.gekk@gmail.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org> |
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catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-markdown.py | ||
mkdocs.yml | ||
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
.