c263c15408
### What changes were proposed in this pull request? For a v2 table created with `CREATE TABLE testcat.ns1.ns2.tbl (id bigint, name string) USING foo`, the following works as expected ``` SELECT testcat.ns1.ns2.tbl.id FROM testcat.ns1.ns2.tbl ``` , but a query with qualified column name with star(*) ``` SELECT testcat.ns1.ns2.tbl.* FROM testcat.ns1.ns2.tbl [info] org.apache.spark.sql.AnalysisException: cannot resolve 'testcat.ns1.ns2.tbl.*' given input columns 'id, name'; ``` fails to resolve. And this PR proposes to fix this issue. ### Why are the changes needed? To fix a bug as describe above. ### Does this PR introduce any user-facing change? Yes, now `SELECT testcat.ns1.ns2.tbl.* FROM testcat.ns1.ns2.tbl` works as expected. ### How was this patch tested? Added new test. Closes #27766 from imback82/fix_star_expression. 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-api-docs.py | ||
gen-sql-config-docs.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
, and SQL configuration documentation that gets included as part of configuration.md
in the main docs
directory.