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retest this please
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good catch! LGTM
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[SPARK-25988] [SQL] Keep names unchanged when deduplicating the column
names in Analyzer
## What changes were proposed in this pull request?
When the queries do not use the column names with
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ping @HyukjinKwon and @viirya to maybe take another look at the recent
changes to make this cleaner, if you are able to. Thanks!
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Let me take a look on this weekends.
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[SPARK-25986][Build] Banning throw new OutOfMemoryErrors
## What changes were proposed in this pull request?
Add scala and java lint check rules to ban the usage of `throw new
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@dongjoon-hyun I think we can merge this one first.
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not all public serializable classes are needed to registered. Only those
one which needed ser-deser should be registered, one important groups should be
transformers and prediction models.
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LGTM
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/window.sql ---
@@ -109,3 +109,9 @@ last_value(false, false) OVER w AS
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I am not sure, but maybe all serializable classes need to be registered.
Since `MultivariateGaussian` is a public class, so I think we need to add
it.
I also wonder whether a test is ne
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Hey @felixcheung, it should be ready for another look.
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OK, that's the issue, yeah. Registration is an optimization. I wonder, what
other classes should we add if we're going to add this one? I don't know if it
needs a test. But if there are 10 other some
Github user zhengruifeng commented on the issue:
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Do you mean fail in this pr? It was caused by a non-registered filed
`BDM[Double]`.
`MultivariateGaussian` is used in GMM, kryo-registration should help
performance.
As to mllib-lo
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You're requiring registration, which is what makes this fail, right? why do
that? I think I'm missing something.
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@srowen Existing kryo-register testsuite need to import spark-core:
```
import org.apache.spark.SparkConf
import org.apache.spark.serializer.KryoSerializer
val conf = new Spa
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Github user zhengruifeng commented on the issue:
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@srowen Yes, we should keep user input data and column names. Thanks for
your explain!
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