GitHub user dilipbiswal opened a pull request:

    https://github.com/apache/spark/pull/17330

    [SPARK-19993][SQL] Caching logical plans containing subquery expressions 
does not work.

    ## What changes were proposed in this pull request?
    The sameResult() method does not work when the logical plan contains 
subquery expressions.
    
    Before the fix
    ```SQL
    scala> val ds = spark.sql("select * from s1 where s1.c1 in (select s2.c1 
from s2 where s1.c1 = s2.c1)")
    ds: org.apache.spark.sql.DataFrame = [c1: int]
    
    scala> ds.cache
    res13: ds.type = [c1: int]
    
    scala> spark.sql("select * from s1 where s1.c1 in (select s2.c1 from s2 
where s1.c1 = s2.c1)").explain(true)
    == Analyzed Logical Plan ==
    c1: int
    Project [c1#86]
    +- Filter c1#86 IN (list#78 [c1#86])
       :  +- Project [c1#87]
       :     +- Filter (outer(c1#86) = c1#87)
       :        +- SubqueryAlias s2
       :           +- Relation[c1#87] parquet
       +- SubqueryAlias s1
          +- Relation[c1#86] parquet
    
    == Optimized Logical Plan ==
    Join LeftSemi, ((c1#86 = c1#87) && (c1#86 = c1#87))
    :- Relation[c1#86] parquet
    +- Relation[c1#87] parquet
    ```
    Plan after fix
    ```SQL
    == Analyzed Logical Plan ==
    c1: int
    Project [c1#22]
    +- Filter c1#22 IN (list#14 [c1#22])
       :  +- Project [c1#23]
       :     +- Filter (outer(c1#22) = c1#23)
       :        +- SubqueryAlias s2
       :           +- Relation[c1#23] parquet
       +- SubqueryAlias s1
          +- Relation[c1#22] parquet
    
    == Optimized Logical Plan ==
    InMemoryRelation [c1#22], true, 10000, StorageLevel(disk, memory, 
deserialized, 1 replicas)
       +- *BroadcastHashJoin [c1#1, c1#1], [c1#2, c1#2], LeftSemi, BuildRight
          :- *FileScan parquet default.s1[c1#1] Batched: true, Format: Parquet, 
Location: 
InMemoryFileIndex[file:/Users/dbiswal/mygit/apache/spark/bin/spark-warehouse/s1],
 PartitionFilters: [], PushedFilters: [], ReadSchema: struct<c1:int>
          +- BroadcastExchange 
HashedRelationBroadcastMode(List((shiftleft(cast(input[0, int, true] as 
bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))))
             +- *FileScan parquet default.s2[c1#2] Batched: true, Format: 
Parquet, Location: 
InMemoryFileIndex[file:/Users/dbiswal/mygit/apache/spark/bin/spark-warehouse/s2],
 PartitionFilters: [], PushedFilters: [], ReadSchema: struct<c1:int>
    ```
    ## How was this patch tested?
    New tests are added to CachedTableSuite.


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/dilipbiswal/spark subquery_cache_final

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/17330.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #17330
    
----
commit dfa76dafdfaabee7240adbaaacb101e484418013
Author: Dilip Biswal <dbis...@us.ibm.com>
Date:   2017-03-03T10:12:56Z

    [SPARK-19993] Caching logical plans containing subquery expressions does 
not work

----


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