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Github user jsnowacki commented on the issue:
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I've added `- bin/*.cmd` to the AppVeyor file. Please let me know if this
is sufficient.
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GitHub user jsnowacki opened a pull request:
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[SPARK-22212][SQL][PySpark] Some SQL functions in Python fail with string
column name
## What changes were proposed in this pull request?
The issue in JIRA:
Github user akopich commented on the issue:
https://github.com/apache/spark/pull/18924
So shall we ping @jkbradley, shan't we?
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Github user akopich commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala ---
@@ -462,31 +463,60 @@ final class OnlineLDAOptimizer extends
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Github user dongjoon-hyun commented on the issue:
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@gatorsmile . I updated the previous comment with more examples.
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Github user dongjoon-hyun commented on the issue:
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Thank you for review, @gatorsmile . The following is a result from Hive
1.2.2.
```sql
hive> CREATE TABLE T AS SELECT named_struct('a',1);
hive> CREATE TABLE S AS SELECT
Github user mgaido91 commented on the issue:
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thanks for your replt @srowen. I saw it. My feeling is that so far there is
no distance metric definition on `Vectors`. If we add the cosine distance, than
we should add the Euclidean too there.
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retest this please.
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Github user HyukjinKwon commented on the issue:
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retest this please
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I checked `q66` has two warnings on the current
master(83488cc3180ca18f829516f550766efb3095881e);
```
17/10/06 07:32:26 INFO WholeStageCodegenExec: Found too long generated
codes and JIT
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Github user srowen commented on the issue:
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I'm kind of neutral given the complexity of adding this, but maybe it's the
least complexity you can get away with. @hhbyyh was adding something related:
Github user mgaido91 commented on the issue:
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kindly remind to @srowen and @yanboliang if you can take a look at it when
you have time, thanks.
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--- Diff:
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@@ -0,0 +1,213 @@
+/*
+ * Licensed to
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@@ -1015,6 +1020,10 @@ object DateTimeUtils {
guess
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retest this please.
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@dongjoon-hyun Made the changes as suggested.
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retest this please.
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sure, I will look into this.
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> This is an effort to reduce the difference between Hive and Spark
Could you show the outputs of Hive?
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Github user gatorsmile commented on the issue:
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Could you rerun Q66 by increasing `spark.sql.codegen.hugeMethodLimit`?
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I found q66 was over 2-times slower by recent commits (probably, bytecode
size checks might affect this number..)
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Thanks! Merged to master.
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Github user gatorsmile commented on the issue:
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I think all of the involved reviewers agree this is a pretty serious design
issue. We are unable to change the behavior after we officially release it.
Thus, we have to be very very careful
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Github user caneGuy commented on the issue:
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Ok i will wait for SPARK-18085 and think about log status more accurately
@squito @ajbozarth Thanks.
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