Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/10942#issuecomment-176920834
@cloud-fan I still have a question about the low-level test for verifying
if pruning works.
For example, Below is the physical plan of a query
`hiveContext.table("bucketed_table").filter($"j" === 0).queryExecution.toRdd`,
where `j` is a bucketing key.
```
Filter (j#21 = 0)
+- Scan ParquetRelation[j#21,k#22,i#23] InputPaths:
file:/private/var/folders/4b/sgmfldk15js406vk7lw5llzw0000gn/T/warehouse--3a744e2c-d2a6-4a1a-ba61-1dc4197744d6/bucketed_table,
PushedFilters: [EqualTo(j,0)]
```
```hiveContext.table("bucketed_table").filter($"j" ===
0).queryExecution.toRdd```. When we running this statement, the filter will
still remove all the ineligible rows per partition even if bucket pruning does
not work. Is my understanding right?
If so, how to verify the pruning works? Thank you!
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