You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/07/02 04:20:10 UTC
[GitHub] [spark] maropu commented on issue #24960: [SPARK-28156][SQL]
Self-join should not miss cached view
maropu commented on issue #24960: [SPARK-28156][SQL] Self-join should not miss cached view
URL: https://github.com/apache/spark/pull/24960#issuecomment-507511937
(This might be off-topic and this is just a question though...) btw, any reason not to use optimized plans instead of analyzed plans for plan caches? Just to avoid overheads? In case that we do so, it seems self-joins in the description uses the cached view;
```
== Optimized Logical Plan ==
Project [a#37, b#38]
+- Join Inner, (a#37 = a#73)
:- Project [a#37, b#38]
: +- Filter isnotnull(a#37)
: +- InMemoryRelation [a#37, b#38, c#39, d#40], StorageLevel(disk, memory, deserialized, 1 replicas)
: +- *(1) FileScan orc default.table1[a#37,b#38,c#39,d#40] Batched: true, DataFilters: [], Format: ORC, Location: InMemoryFileIndex[file:/Users/maropu/Repositories/spark/spark-master/spark-warehouse/table1], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<a:int,b:int,c:int,d:int>
+- Project [a#37 AS a#73]
+- Filter isnotnull(a#37)
+- InMemoryRelation [a#37, b#38, c#39, d#40], StorageLevel(disk, memory, deserialized, 1 replicas)
+- *(1) FileScan orc default.table1[a#37,b#38,c#39,d#40] Batched: true, DataFilters: [], Format: ORC, Location: InMemoryFileIndex[file:/Users/maropu/Repositories/spark/spark-master/spark-warehouse/table1], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<a:int,b:int,c:int,d:int>
```
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
With regards,
Apache Git Services
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org