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Xiao Li commented on SPARK-7428:
IMO, it is impossible to fix the problem if we use dataFrames. Spark SQL
Xiao Li created SPARK-11360:
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Summary: Loss of nullability when writing parquet files
Key: SPARK-11360
URL: https://issues.apache.org/jira/browse/SPARK-11360
Project: Spark
Issue Type:
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Xiao Li commented on SPARK-8658:
Hi, Michael,
Thank you! It sounds a trivial work. Let me try it. Send a
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Xiao Li updated SPARK-11275:
Summary: [SQL] Regression in rollup/cube (was: Regression in rollup/cube )
> [SQL] Regression in
Xiao Li created SPARK-11275:
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Summary: Regression in rollup/cube
Key: SPARK-11275
URL: https://issues.apache.org/jira/browse/SPARK-11275
Project: Spark
Issue Type: Bug
Components: SQL
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Xiao Li commented on SPARK-10925:
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There is another ongoing JIRA that has a big impact on the fix for
Xiao Li created SPARK-11576:
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Summary: [SQL] Incorrect results when using the nested self-join
Key: SPARK-11576
URL: https://issues.apache.org/jira/browse/SPARK-11576
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-11637?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15002986#comment-15002986
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Xiao Li commented on SPARK-11637:
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The fix is ready. Will submit a PR soon.
> Alias do not work with
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Xiao Li commented on SPARK-11637:
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https://github.com/apache/spark/pull/9343 has already fixed the
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Xiao Li updated SPARK-11633:
Comment: was deleted
(was: Which version are you using? I did hit an error, but it is a different
error:
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Xiao Li commented on SPARK-11753:
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I see. Will do. Thanks!
> Understand why allowNonNumericNumbers JSON
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Xiao Li commented on SPARK-11633:
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The fix is ready. Will deliver it soon.
> HiveContext throws
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Xiao Li commented on SPARK-11753:
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I can try it if this is not an urgent issue.
> Understand why
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Xiao Li closed SPARK-11433.
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Resolution: Won't Fix
> [SQL] Rule EliminateSubQueries does not clean the parent Project's qualifiers
>
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Xiao Li commented on SPARK-11633:
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Which version are you using? I did hit an error, but it is a different
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Xiao Li commented on SPARK-11637:
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After using hiveContext, I can reproduce your problem:
Exception in
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Xiao Li commented on SPARK-11633:
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I am interested in this issue. Can you post your exception?
>
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Xiao Li commented on SPARK-11637:
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In 1.4.1, it works well.
> Alias do not work with udf with *
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Xiao Li edited comment on SPARK-11637 at 11/11/15 6:53 AM:
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In 1.5.1, the
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Xiao Li commented on SPARK-11637:
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In 1.5.1, the output of your query is:
'''
Exception in thread "main"
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Xiao Li commented on SPARK-11231:
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Your join is not natural join. It could return duplicate names. You
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Xiao Li edited comment on SPARK-11231 at 11/11/15 6:59 AM:
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Your join is not
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Xiao Li updated SPARK-11275:
Summary: [SQL] Incorrect results when using rollup/cube (was: [SQL]
Regression in rollup/cube )
> [SQL]
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Xiao Li updated SPARK-11275:
Affects Version/s: 1.3.0
1.4.0
> [SQL] Incorrect results when using rollup/cube
>
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Xiao Li commented on SPARK-11275:
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Hi, Andrew,
Expression is not the root cause. The implementation of
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Xiao Li commented on SPARK-11275:
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A simple fix can resolve this issue by using subquery. Thus, trying to
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Xiao Li commented on SPARK-11360:
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Hi, Sean,
I see. Thank you!
Xiao Li
> Loss of nullability when
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Xiao Li commented on SPARK-11275:
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Agree. It becomes more complex when you need to resolve both cases at
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Xiao Li commented on SPARK-11275:
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My fix is ready. Now, trying to add the test cases. Hopefully, I can
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https://issues.apache.org/jira/browse/SPARK-10838?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14990544#comment-14990544
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Xiao Li commented on SPARK-10838:
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In 1.5.1, both failed with the same exception.
Exception in thread
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Xiao Li edited comment on SPARK-5068 at 11/4/15 8:34 PM:
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Now, the default value
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Xiao Li commented on SPARK-5068:
Now, the default value of this feature is off. You can turn it on and do
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Xiao Li commented on SPARK-10838:
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The fix is ready. Writing unit test cases now.
> Repeat to join one
Xiao Li created SPARK-11433:
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Summary: [SQL] Rule EliminateSubQueries does not clean the parent
Project's qualifiers
Key: SPARK-11433
URL: https://issues.apache.org/jira/browse/SPARK-11433
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-10925?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14957170#comment-14957170
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Xiao Li commented on SPARK-10925:
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Hi, Alexis,
The schema of your query results has the duplicate
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Xiao Li edited comment on SPARK-10925 at 10/14/15 7:16 AM:
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Also hit the same
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Xiao Li commented on SPARK-10925:
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Also hit the same problem. Trying to narrow down the root cause of the
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Xiao Li commented on SPARK-10925:
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I have not tried Spark 1.4, but inner joining 2 tables with the same
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Xiao Li commented on SPARK-8658:
Hi, Michael and Antonio,
Trying to understand the problem and fix it if
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https://issues.apache.org/jira/browse/SPARK-10217?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14955723#comment-14955723
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Xiao Li commented on SPARK-10217:
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Hi, Simeon,
I am trying to reproduce your problem on Spark 1.5.1. I
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Xiao Li commented on SPARK-11803:
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No problem. Actually, I have a couple of test cases. You can try it.
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Xiao Li commented on SPARK-11770:
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I can take a look at this problem.
> Spark SQL field resolution
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https://issues.apache.org/jira/browse/SPARK-7286?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15009898#comment-15009898
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Xiao Li commented on SPARK-7286:
This is affected by the operator precedence in Scala. There does not
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https://issues.apache.org/jira/browse/SPARK-6929?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15009340#comment-15009340
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Xiao Li commented on SPARK-6929:
[~mwaciega] The default Alias name generation was changed to _c$i in the
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Xiao Li commented on SPARK-11803:
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We need to detect if this is a self join in the function joinWith.
>
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Xiao Li commented on SPARK-11770:
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Hi, [~simeons]
I am unable to reproduce your issue. Could you try it
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Xiao Li edited comment on SPARK-11770 at 11/18/15 3:47 AM:
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Hi, [~simeons]
I
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Xiao Li edited comment on SPARK-11770 at 11/18/15 3:47 AM:
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Hi, [~simeons]
I
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Xiao Li commented on SPARK-11803:
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Not sure if this has been assigned. I can try it tonight and tomorrow.
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Xiao Li edited comment on SPARK-11803 at 11/18/15 4:14 AM:
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The optimized plan
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Xiao Li edited comment on SPARK-11770 at 11/18/15 3:48 AM:
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Hi, [~simeons]
I
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Xiao Li edited comment on SPARK-11770 at 11/18/15 3:48 AM:
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Hi, [~simeons]
I
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Xiao Li edited comment on SPARK-11770 at 11/18/15 3:49 AM:
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Hi, [~simeons]
I
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Xiao Li commented on SPARK-11803:
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We need to assign a new expression ID the conflicting attribute in
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Xiao Li commented on SPARK-11803:
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The optimized plan is wrong.
Project [value#1 AS _1#4,value#1 AS
Xiao Li created SPARK-12028:
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Summary: [SQL] get_json_object is unable to return a correct
result for null literals
Key: SPARK-12028
URL: https://issues.apache.org/jira/browse/SPARK-12028
Project: Spark
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Xiao Li updated SPARK-11980:
Summary: Fix json_tuple and add unit tests for the Python functions added
in SPARK-10621 (was: Add unit
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Xiao Li commented on SPARK-12030:
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I can reproduced a similar issue in a Sort. I think the impact could
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Xiao Li edited comment on SPARK-12030 at 11/29/15 6:11 PM:
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[~maver1ck] Yeah,
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Xiao Li updated SPARK-12091:
Description: Since the data is always serialized on the Python side, the
JAVA-specific deserialized levels
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Xiao Li updated SPARK-12091:
Priority: Major (was: Minor)
> [PySpark] Removal of the JAVA-specific deserialized storage levels
>
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Xiao Li updated SPARK-12091:
Summary: [PySpark] Removal of the JAVA-specific deserialized storage levels
(was: [PySpark] Inconsistent
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Xiao Li updated SPARK-12164:
Description:
So far, we are using comma-separated decimal format to output the encoded
contents. This way
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Xiao Li updated SPARK-12164:
Description:
So far, we are using comma-separated decimal format to output the encoded
contents. This way
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Xiao Li updated SPARK-12164:
Description:
So far, we are using comma-separated decimal format to output the encoded
contents. This way
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Xiao Li updated SPARK-12164:
Description:
So far, we are using comma-separated decimal format to output the encoded
contents. This way
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Xiao Li updated SPARK-12164:
Description:
So far, we are using comma-separated decimal format to output the encoded
contents. This way
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Xiao Li updated SPARK-12158:
Component/s: (was: R)
SparkR
> [R] [SQL] Fix 'sample' functions that break R unit
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Xiao Li commented on SPARK-12233:
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I am unable to reproduce your error. Try to run my example, can you
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Xiao Li commented on SPARK-12218:
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That is what I did in my environment.
{code}
val df1 = Seq(1, 2,
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Xiao Li commented on SPARK-12218:
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Could you provide the plan by explain(true)? [~imachabeli] Thanks!
>
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Xiao Li edited comment on SPARK-12225 at 12/9/15 5:21 AM:
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This is related to
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Xiao Li commented on SPARK-6929:
[~srowen] Could you close this issue? This has been resolved, I think.
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Xiao Li commented on SPARK-12225:
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Ok, thank you!
> Support adding or replacing multiple columns at
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Xiao Li edited comment on SPARK-12233 at 12/9/15 6:00 AM:
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This is another self
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Xiao Li commented on SPARK-12225:
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[~sunrui] Will you deliver the feature? Otherwise, I can work on it.
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Xiao Li commented on SPARK-12225:
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This is related to the changes on the external APIs. Need to collect
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Xiao Li commented on SPARK-12233:
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Please post the error message you got. Thanks!
> Cannot specify a
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Xiao Li commented on SPARK-12233:
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This is another self join issue. I will try to see if it is a
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Xiao Li commented on SPARK-12233:
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{code}
val df1 = Seq(1, 2, 3).map(i => (i, i.toString,
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Xiao Li commented on SPARK-12218:
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Thanks for the info! I will reproduce it soon. Will keep you posted. :
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Xiao Li commented on SPARK-12218:
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Hi, [~imachabeli]
Sorry, in the latest 1.6 build, I am unable to
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Xiao Li commented on SPARK-12225:
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[~rxin] We can call withColumn() multiple times for achieving the
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Xiao Li commented on SPARK-12218:
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Great! That means, the problem has been resolved in Spark 1.6, which
Xiao Li created SPARK-12158:
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Summary: [R] [SQL] Fix 'sample' functions that break R unit test
cases
Key: SPARK-12158
URL: https://issues.apache.org/jira/browse/SPARK-12158
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-12150?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15042156#comment-15042156
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Xiao Li commented on SPARK-12150:
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Yeah, you are right. Will deliver a PR soon. Thanks!
> numPartitions
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https://issues.apache.org/jira/browse/SPARK-12138?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15042492#comment-15042492
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Xiao Li commented on SPARK-12138:
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If nobody takes it, I can make a try. [~yhuai] Could you explain how
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https://issues.apache.org/jira/browse/SPARK-12138?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15042541#comment-15042541
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Xiao Li commented on SPARK-12138:
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Sure. Will try it tonight or tomorrow. Thanks! : )
> Escape \u in the
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https://issues.apache.org/jira/browse/SPARK-12030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15035164#comment-15035164
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Xiao Li commented on SPARK-12030:
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I did verify the fix using my test cases. It works!
I posted a
Xiao Li created SPARK-12091:
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Summary: [PySpark] Inconsistent default storage level of
persist/cache in Python API
Key: SPARK-12091
URL: https://issues.apache.org/jira/browse/SPARK-12091
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-8360?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15035379#comment-15035379
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Xiao Li commented on SPARK-8360:
"You need permission to access this published document." I got this
Xiao Li created SPARK-12188:
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Summary: [SQL] Code refactoring and comment correction in Dataset
APIs
Key: SPARK-12188
URL: https://issues.apache.org/jira/browse/SPARK-12188
Project: Spark
Issue
Xiao Li created SPARK-12195:
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Summary: Adding BigDecimal, Date and Timestamp into Encoder
Key: SPARK-12195
URL: https://issues.apache.org/jira/browse/SPARK-12195
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-12218?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15052763#comment-15052763
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Xiao Li commented on SPARK-12218:
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Agree! I will do a search to find out what happened in the push down
Xiao Li created SPARK-12256:
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Summary: [SQL] Code refactoring: naming boolean variables
Key: SPARK-12256
URL: https://issues.apache.org/jira/browse/SPARK-12256
Project: Spark
Issue Type: Bug
Xiao Li created SPARK-12259:
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Summary: Kryo/javaSerialization encoder are not composable
Key: SPARK-12259
URL: https://issues.apache.org/jira/browse/SPARK-12259
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-12258?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15050246#comment-15050246
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Xiao Li edited comment on SPARK-12258 at 12/10/15 7:37 AM:
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[~cloud_fan] It
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https://issues.apache.org/jira/browse/SPARK-12258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-12258:
Comment: was deleted
(was: [~cloud_fan] It sounds like it is related to the PR
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https://issues.apache.org/jira/browse/SPARK-12258?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15050246#comment-15050246
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Xiao Li commented on SPARK-12258:
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[~cloud_fan] It sounds like it is related to the PR
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https://issues.apache.org/jira/browse/SPARK-12258?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15050398#comment-15050398
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Xiao Li commented on SPARK-12258:
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A PR has been submitted. Thanks
> Hive Timestamp UDF is binded with
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