Github user tgravescs commented on the issue:
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+1
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Jenkins, retest this please.
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run `RENs-MacBook-Pro:spark xin$ ./python/run-tests
--modules=pyspark-mllib,pyspark-ml --parallelism=4` and passed on my local Mac.
Jenkins, retest this please.
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Github user mallman commented on the issue:
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@snir I think I know the issue you're running into. Please retry your query
with codegen disabled. That is, run
```
spark.sql("set spark.sql.codegen.wholeStage=false")
```
Github user maropu commented on the issue:
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@gatorsmile How about this kind of impl.?
https://github.com/apache/spark/compare/master...maropu:SPARK-21351-5
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@kamalptw Thanks for pinging Sean. I was going to do that myself soon. He's
a helpful guy.
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Github user WeichenXu123 commented on the issue:
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@facaiy So can you do benchmark first (by generating random testing data) ?
So we can see how much this can speed up.
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@srowen @vanzin Could you help me get this PR merged? Thanks!
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@vanzin @tgravescs , would you please help to review, thanks!
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There is a bug in this PR which causes a NullPointerException when
filtering a table that contains rows with null structs (happens in all format,
not only parquet).
Reproducing the crash is super
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cc @yanboliang @thunterdb Thanks!
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[SPARK-19634][FOLLOW-UP][ML] Improve interface of dataframe vectorized
summarizer
## What changes were proposed in this pull request?
Make several improvements in dataframe
Github user wangyum commented on the issue:
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Yes, mapping to Double seems fine. this test passed:
```
test("SPARK-20427/SPARK-20921: read table use custom schema by jdbc api")
{
// default will throw IllegalArgumentException
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Jenkins, test this please.
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@felixcheung Thank you for your comment.
We already support data type in string form. I'll add a test to confirm it.
As for decorator name, we can have a more generic decorator name but
Github user sobusiak commented on the issue:
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As far as I understand the proposed solution recommends using `DecimalType`
with user-chosen precision and scale but `DecimalType` cannot represent all
numbers that can be stored in NUMBER. I
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helped us speed up a lot in production.
@srowen can you help take this pull request forward?
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@holdenk thanks for reminder. I fixed the problem.
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@zsxwing what do you think?
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hello, why don't load FM model?
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Good feedback, all. I think I can fix the MiMa failure, and now the Python
tests. Let me try to get that far.
Yes, the examples use Kafka 0.8 in some places. It seems excessive to set
up a
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Github user rshest commented on the issue:
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I have managed to create the JIRA task and updated the pull request's title
correspondingly:
https://issues.apache.org/jira/browse/SPARK-21942
Since this does not look so far that it's
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Thank you for review, @srowen ! :)
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Looks good. Yeah I didn't update everything when I did the scalatest update
for 2.12 because the patch was so big already. Yes I also met the same Thread
Signaler issue.
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+/*
+ * Licensed to the
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/19136#discussion_r137469668
--- Diff:
sql/core/src/main/java/org/apache/spark/sql/sources/v2/reader/scan/UnsafeRowScan.java
---
@@ -0,0 +1,49 @@
+/*
+ * Licensed to the
Github user rshest commented on the issue:
https://github.com/apache/spark/pull/19154
Please note that it's not _people_ deleting files, it's the operating
system doing this automatically, inside the `/tmp` folder. This can happen with
a high probability, after some time.
I
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