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Thanks, @dongjoon-hyun
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@wangyum
I made a [PR](https://github.com/wangyum/spark/pull/9) to your branch.
Could you review and merge that? The content are the followings.
- Add a new test case for SPARK-231
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retest this please
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retest this please
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Sorry @dongjoon-hyun I only reproduce one test.
kryo-parametrized-type-inheritance related to language. It seems scala
can't reproduce it:
```scala
val ser = new KryoSerializer(new
S
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I pinged the first one, SPARK-20389, to find any chance to test on the
original cluster. Although it's too old issue, but there is no harm for us to
ping once more.
For the third one,
Github user srowen commented on the issue:
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Tests are great of course; those three might be hard to test. The first and
last one don't have info on the reproduction. The second one looks possibly
reproducible though as it shows the custom seri
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@dongjoon-hyun I'm trying to add test cases.
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Ping, @wangyum . Could you add the test cases for SPARK-20389, SPARK-23131,
and SPARK-25176?
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@wangyum . I know this is designed for a build-only PR. However, since this
is claimed for bug fixes(SPARK-20389, SPARK-23131, and SPARK-25176), could you
add test cases for them in order to v
Github user erikerlandson commented on the issue:
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For maximum breaking-change forgiveness, the "safe" option would be to punt
it to 3.0; which seems likely to be the next release after this.
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Kryo 3.0.3 and Chill 0.8.2 already work with 2.12, so no issue particularly
there. I don't see that this change would be visible to users, and tests
suggest it doesn't affect Spark. I'm cautious that
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If it doesn't expose any breaking changes to users, that seems reasonable.
I assume there would be no integration problems with scala 2.12?
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https://github.com/EsotericSoftware/kryo/releases/tag/kryo-parent-4.0.0
This has a number of breaking changes. However, Spark actually doesn't use
kryo itself, and excludes it. It uses kryo-s
Github user srowen commented on the issue:
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Yes, I think the question is whether anything breaks as well. Kryo 4.x is a
breaking change IIRC. Is there a 3.x version that has these fixes?
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Thanks @srowen
[SPARK-25176](https://issues.apache.org/jira/browse/SPARK-25176) has a detail
description:
> I'm using the latest spark version spark-core_2.11:2.3.1 which
transitively
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That looks like a major version bump -- the usual question here -- what are
the key changes we need, what are possible incompatible changes?
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