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Commit c5b73558 authored by Takuya UESHIN's avatar Takuya UESHIN Committed by Michael Armbrust
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[SPARK-15915][SQL] Logical plans should use canonicalized plan when override sameResult.

## What changes were proposed in this pull request?

`DataFrame` with plan overriding `sameResult` but not using canonicalized plan to compare can't cacheTable.

The example is like:

```
    val localRelation = Seq(1, 2, 3).toDF()
    localRelation.createOrReplaceTempView("localRelation")

    spark.catalog.cacheTable("localRelation")
    assert(
      localRelation.queryExecution.withCachedData.collect {
        case i: InMemoryRelation => i
      }.size == 1)
```

and this will fail as:

```
ArrayBuffer() had size 0 instead of expected size 1
```

The reason is that when do `spark.catalog.cacheTable("localRelation")`, `CacheManager` tries to cache for the plan wrapped by `SubqueryAlias` but when planning for the DataFrame `localRelation`, `CacheManager` tries to find cached table for the not-wrapped plan because the plan for DataFrame `localRelation` is not wrapped.
Some plans like `LocalRelation`, `LogicalRDD`, etc. override `sameResult` method, but not use canonicalized plan to compare so the `CacheManager` can't detect the plans are the same.

This pr modifies them to use canonicalized plan when override `sameResult` method.

## How was this patch tested?

Added a test to check if DataFrame with plan overriding sameResult but not using canonicalized plan to compare can cacheTable.

Author: Takuya UESHIN <ueshin@happy-camper.st>

Closes #13638 from ueshin/issues/SPARK-15915.
parent bc02d011
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