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GitHub user huaxingao opened a pull request:
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[SPARK-19826][ML][PYTHON]add spark.ml Python API for PIC
## What changes were proposed in this pull request?
add spark.ml Python API for PIC
## How was this patch tested?
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@cloud-fan @viirya could you check this? Thanks!
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Github user xuanyuanking commented on the issue:
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@Ngone51 Ah, maybe I know how the description misleading you, the in the
description 5, 'this stage' refers to 'Stage 2' in screenshot, thanks for your
check, I modified the description to
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@Ngone51
You can check the screenshot in detail, stage 2's shuffleID is 1, but stage
3 failed by missing an output for shuffle '0'! So here the stage 2's skip cause
stage 3 got an error
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
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@@ -1266,6 +1266,9 @@ class DAGScheduler(
}
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@hvanhovell When I added [the new check
code](https://github.com/apache/spark/pull/20636/files#diff-e68c5a074209b9a20ee2aa42936571ceR64)
to see whether the growth value is negative, we see the
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2124,6 +2124,21 @@ def size(col):
return Column(sc._jvm.functions.size(_to_java_column(col)))
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I apologize I haven't had time to work on this. I can close this for now
and reopen it when I have a working fix for it.
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ping @aa8y @HyukjinKwon @MaxGekk @gengliangwang
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Github user rdblue commented on the issue:
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Yeah, we should probably add a projection. It's probably only working
because the InternalRows that are produced are all UnsafeRow.
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Generally looks good.
IIRC, there's some arcane reason why plan nodes need to produce UnsafeRow
even though SparkPlan.execute() declares InternalRow. So we may need to add a
projection
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https://github.com/apache/spark/pull/21070
Merged build finished. Test PASSed.
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