spark-instrumented-optimizer/sql
gatorsmile 608ecc512b [SPARK-18415][SQL] Weird Plan Output when CTE used in RunnableCommand
### 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.
2016-11-16 08:25:15 -08:00
..
catalyst [SPARK-18415][SQL] Weird Plan Output when CTE used in RunnableCommand 2016-11-16 08:25:15 -08:00
core [SPARK-18415][SQL] Weird Plan Output when CTE used in RunnableCommand 2016-11-16 08:25:15 -08:00
hive [SPARK-18433][SQL] Improve DataSource option keys to be more case-insensitive 2016-11-16 17:12:18 +08:00
hive-thriftserver [SPARK-14914][CORE] Fix Resource not closed after using, for unit tests and example 2016-11-10 10:54:36 +00:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

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.