608ecc512b
### What changes were proposed in this pull request? Currently, when CTE is used in RunnableCommand, the Analyzer does not replace the logical node `With`. The child plan of RunnableCommand is not resolved. Thus, the output of the `With` plan node looks very confusing. For example, ``` sql( """ |CREATE VIEW cte_view AS |WITH w AS (SELECT 1 AS n), cte1 (select 2), cte2 as (select 3) |SELECT n FROM w """.stripMargin).explain() ``` The output is like ``` ExecutedCommand +- CreateViewCommand `cte_view`, WITH w AS (SELECT 1 AS n), cte1 (select 2), cte2 as (select 3) SELECT n FROM w, false, false, PersistedView +- 'With [(w,SubqueryAlias w +- Project [1 AS n#16] +- OneRowRelation$ ), (cte1,'SubqueryAlias cte1 +- 'Project [unresolvedalias(2, None)] +- OneRowRelation$ ), (cte2,'SubqueryAlias cte2 +- 'Project [unresolvedalias(3, None)] +- OneRowRelation$ )] +- 'Project ['n] +- 'UnresolvedRelation `w` ``` After the fix, the output is as shown below. ``` ExecutedCommand +- CreateViewCommand `cte_view`, WITH w AS (SELECT 1 AS n), cte1 (select 2), cte2 as (select 3) SELECT n FROM w, false, false, PersistedView +- CTE [w, cte1, cte2] : :- SubqueryAlias w : : +- Project [1 AS n#16] : : +- OneRowRelation$ : :- 'SubqueryAlias cte1 : : +- 'Project [unresolvedalias(2, None)] : : +- OneRowRelation$ : +- 'SubqueryAlias cte2 : +- 'Project [unresolvedalias(3, None)] : +- OneRowRelation$ +- 'Project ['n] +- 'UnresolvedRelation `w` ``` BTW, this PR also fixes the output of the view type. ### How was this patch tested? Manual Author: gatorsmile <gatorsmile@gmail.com> Closes #15854 from gatorsmile/cteName. |
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catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
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 an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows 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.