b14a1e2816
### What changes were proposed in this pull request? Implement ALTER TABLE in JDBC Table Catalog The following ALTER TABLE are implemented: ``` ALTER TABLE table_name ADD COLUMNS ( column_name datatype [ , ... ] ); ALTER TABLE table_name RENAME COLUMN old_column_name TO new_column_name; ALTER TABLE table_name DROP COLUMN column_name; ALTER TABLE table_name ALTER COLUMN column_name TYPE new_type; ALTER TABLE table_name ALTER COLUMN column_name SET NOT NULL; ``` I haven't checked ALTER TABLE syntax for all the databases yet. I will check. If there are different syntax, I will have a follow-up to override the dialect. Seems most of the databases don't support updating comments and column position, so I didn't implement UpdateColumnComment and UpdateColumnPosition. ### Why are the changes needed? Complete the JDBCTableCatalog implementation ### Does this PR introduce _any_ user-facing change? Yes `JDBCTableCatalog.alterTable` ### How was this patch tested? add new tests Closes #29324 from huaxingao/alter_table. Authored-by: Huaxin Gao <huaxing@us.ibm.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
||
---|---|---|
.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-api-docs.py | ||
gen-sql-config-docs.py | ||
gen-sql-functions-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.