66619b84d8
### What changes were proposed in this pull request? Disallow creating a permanent view that references a temporary view in **expressions**. ### Why are the changes needed? Creating a permanent view that references a temporary view is currently disallowed. For example, ```SQL # The following throws org.apache.spark.sql.AnalysisException # Not allowed to create a permanent view `per_view` by referencing a temporary view `tmp`; CREATE VIEW per_view AS SELECT t1.a, t2.b FROM base_table t1, (SELECT * FROM tmp) t2" ``` However, the following is allowed. ```SQL CREATE VIEW per_view AS SELECT * FROM base_table WHERE EXISTS (SELECT * FROM tmp); ``` This PR fixes the bug where temporary views used inside expressions are not checked. ### Does this PR introduce any user-facing change? Yes. Now the following SQL query throws an exception as expected: ```SQL # The following throws org.apache.spark.sql.AnalysisException # Not allowed to create a permanent view `per_view` by referencing a temporary view `tmp`; CREATE VIEW per_view AS SELECT * FROM base_table WHERE EXISTS (SELECT * FROM tmp); ``` ### How was this patch tested? Added new unit tests. Closes #26361 from imback82/spark-29630. Authored-by: Terry Kim <yuminkim@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
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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
.