Github user cloud-fan commented on the issue:
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oh sorry I thought incorrect nullability is also a bug... yea this change
is too large to backport, I'll be more careful in the future.
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Github user rxin commented on the issue:
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I'm going to revert this.
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@cloud-fan why did we merge this in branch-2.1? Does this fix any bugs?
The change looks invasive.
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merging to master/2.1, thanks for working on it!
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Github user viirya commented on the issue:
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LGTM except a very minor style comment.
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looks pretty good, left 2 minor comments, thanks for working on it!
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Github user kiszk commented on the issue:
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Of course. I overlooked this comment.
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hi @kiszk can you address this comment?
https://github.com/apache/spark/pull/15780#discussion_r90199899 thanks!
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ping @cloud-fan
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Github user ueshin commented on the issue:
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Needs `AssertNotNull()`
[here](https://github.com/kiszk/spark/blob/38991d00cbaa50ffc9d22c54f643ed03e51b4785/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala#L577)
if th
Github user kiszk commented on the issue:
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I see. I will look at this carefully.
While I looked at this, I did not understand why only a tuple causes a
failure. Do you have any insight on how a tuple is handled?
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Github user cloud-fan commented on the issue:
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> this optimization leads to failure of the program Seq((0, 1.0, 3.0), (2,
2.0, 5.0)).toDF("id", "v").printSchema
This is not an optimization, we should use `serializer.schema` as encoder
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ping @cloud-fan
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Github user kiszk commented on the issue:
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@cloud-fan , this optimization leads to failure of the program `Seq((0,
1.0, 3.0), (2, 2.0, 5.0)).toDF("id", "v").printSchema` .
While the previous code returns `false`, this optimization returns `
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Github user kiszk commented on the issue:
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Sure, let me try this
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Github user cloud-fan commented on the issue:
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Some more thoughts: in `ExpressionEncoder` we get the schema of encoder by
```
val schema = ScalaReflection.schemaFor[T] match {
case ScalaReflection.Schema(s: StructType, _) => s
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LGTM
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cc @ueshin
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