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Cody Koeninger commented on SPARK-18258:
Sure, added, let me know if I'm missing something or can
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Cody Koeninger updated SPARK-18258:
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Description:
Transactional "exactly-once" semantics for output require storing an offset
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Felix Cheung commented on SPARK-12757:
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I'm seeing the same with latest master running a pipeline
zhengruifeng created SPARK-18285:
Summary: approxQuantile in R support multi-column
Key: SPARK-18285
URL: https://issues.apache.org/jira/browse/SPARK-18285
Project: Spark
Issue Type:
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zhengruifeng commented on SPARK-13677:
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It is shown in sklearn's doc here
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zhengruifeng commented on SPARK-14047:
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I personally think SPARK-15581 may be a improvement about
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zhengruifeng edited comment on SPARK-14047 at 11/5/16 3:21 AM:
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I
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Reynold Xin commented on SPARK-18258:
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This makes sense. It's just extra information you want to be
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zhengruifeng commented on SPARK-13677:
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Since mllib is in maintenance status. If this feature will
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zhengruifeng updated SPARK-13677:
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Summary: Support Tree-Based Feature Transformation for ML (was: Support
Tree-Based Feature
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zhengruifeng updated SPARK-14174:
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Description:
The MiniBatchKMeans is a variant of the KMeans algorithm which uses
mini-batches
Kazuaki Ishizaki created SPARK-18284:
Summary: Scheme of DataFrame generated from RDD is diffrent
between master and 2.0
Key: SPARK-18284
URL: https://issues.apache.org/jira/browse/SPARK-18284
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Yin Huai resolved SPARK-18256.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 15756
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Apache Spark commented on SPARK-17748:
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User 'jkbradley' has created a pull request for this issue:
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Felix Cheung commented on SPARK-15581:
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This is a great next step if we could get more concrete on
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Felix Cheung commented on SPARK-10523:
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Is this still an issue? As Yanbo says, we now support string
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Apache Spark reassigned SPARK-18283:
Assignee: Tathagata Das (was: Apache Spark)
> Add a test to make sure the default
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Apache Spark commented on SPARK-18283:
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User 'tdas' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18283:
Assignee: Apache Spark (was: Tathagata Das)
> Add a test to make sure the default
Tathagata Das created SPARK-18283:
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Summary: Add a test to make sure the default starting offset is
latest
Key: SPARK-18283
URL: https://issues.apache.org/jira/browse/SPARK-18283
Project: Spark
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Apache Spark commented on SPARK-18282:
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User 'sethah' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18282:
Assignee: Apache Spark
> Add model summaries for Python GMM and BisectingKMeans
>
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Apache Spark reassigned SPARK-18282:
Assignee: (was: Apache Spark)
> Add model summaries for Python GMM and
Seth Hendrickson created SPARK-18282:
Summary: Add model summaries for Python GMM and BisectingKMeans
Key: SPARK-18282
URL: https://issues.apache.org/jira/browse/SPARK-18282
Project: Spark
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Apache Spark commented on SPARK-17710:
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User 'weiqingy' has created a pull request for this issue:
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Luke Miner updated SPARK-18281:
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Description:
I run the example straight out of the api docs for toLocalIterator and it gives
a time
Luke Miner created SPARK-18281:
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Summary: toLocalIterator yields time out error on pyspark2
Key: SPARK-18281
URL: https://issues.apache.org/jira/browse/SPARK-18281
Project: Spark
Issue Type:
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Reynold Xin updated SPARK-16804:
Fix Version/s: 2.0.2
> Correlated subqueries containing non-deterministic operators return
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Reynold Xin updated SPARK-17337:
Fix Version/s: 2.0.2
> Incomplete algorithm for name resolution in Catalyst paser may lead to
>
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Apache Spark commented on SPARK-16804:
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User 'hvanhovell' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18280:
Assignee: (was: Apache Spark)
> Potential deadlock in
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Apache Spark commented on SPARK-18280:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18280:
Assignee: Apache Spark
> Potential deadlock in `StandaloneSchedulerBackend.dead`
>
Shixiong Zhu created SPARK-18280:
Summary: Potential deadlock in `StandaloneSchedulerBackend.dead`
Key: SPARK-18280
URL: https://issues.apache.org/jira/browse/SPARK-18280
Project: Spark
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Shixiong Zhu updated SPARK-18280:
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Affects Version/s: 1.6.2
2.0.0
2.0.1
> Potential
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Apache Spark commented on SPARK-18189:
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User 'seyfe' has created a pull request for this issue:
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Felix Cheung updated SPARK-18279:
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Affects Version/s: 2.1.0
Target Version/s: 2.1.0
> ML programming guide should have R
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Felix Cheung updated SPARK-18279:
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Description:
http://spark.apache.org/docs/latest/ml-classification-regression.html
for example,
Felix Cheung created SPARK-18279:
Summary: ML programming guide should have R examples
Key: SPARK-18279
URL: https://issues.apache.org/jira/browse/SPARK-18279
Project: Spark
Issue Type: Bug
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Felix Cheung commented on SPARK-18266:
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Actually, I just realize the ML programming guide (not just
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Aniket Bhatnagar closed SPARK-18273.
> DataFrameReader.load takes a lot of time to start the job if a lot of
> file/dir paths are
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Aniket Bhatnagar resolved SPARK-18273.
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Resolution: Not A Problem
Glob patterns can be passed instead of full paths to reduce
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Aniket Bhatnagar commented on SPARK-18273:
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Thanks [~srowen]. Didn't realize that I could
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Nicholas Chammas commented on SPARK-18277:
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{quote}
If you try {{when()}}, you realize that you
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Apache Spark reassigned SPARK-18276:
Assignee: Apache Spark
> Some ML training summaries are not copied when {{copy()}} is
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Apache Spark commented on SPARK-18276:
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User 'sethah' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18276:
Assignee: (was: Apache Spark)
> Some ML training summaries are not copied when
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Nicholas Chammas commented on SPARK-18277:
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Thanks for the pointer. I'll follow the discussion
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Erik Erlandson updated SPARK-18278:
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External issue URL: https://github.com/kubernetes/kubernetes/issues/34377
External issue
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Cody Koeninger commented on SPARK-18258:
So one obvious one is that if wherever checkpoint data
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Michael Armbrust commented on SPARK-18277:
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We've been talking about better support for nested
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Sean Owen updated SPARK-14387:
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Target Version/s: (was: 2.0.2)
> Enable Hive-1.x ORC compatibility with
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Felix Cheung edited comment on SPARK-18266 at 11/4/16 8:38 PM:
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I'm not
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Sean Owen updated SPARK-14241:
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Assignee: Cheng Lian
> Output of monotonically_increasing_id lacks stable relation with rows of
>
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Felix Cheung commented on SPARK-18266:
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I'm not sure it is, actually. If I recall there shouldn't be
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Herman van Hovell reassigned SPARK-17337:
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Assignee: Herman van Hovell
> Incomplete algorithm for name resolution in
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Apache Spark commented on SPARK-17337:
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User 'hvanhovell' has created a pull request for this issue:
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Anirudh Ramanathan commented on SPARK-18278:
Corresponding issue in kubernetes:
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Herman van Hovell resolved SPARK-17337.
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Resolution: Fixed
Fix Version/s: 2.1.0
> Incomplete algorithm for name
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Michael Armbrust commented on SPARK-18258:
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What sort of failures are you anticipating here?
>
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Erik Erlandson commented on SPARK-18278:
Current prototype:
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Cody Koeninger commented on SPARK-18258:
The sink doesn't have to reason about equality of the
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Nicholas Chammas edited comment on SPARK-18277 at 11/4/16 8:25 PM:
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Erik Erlandson created SPARK-18278:
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Summary: Support native submission of spark jobs to a kubernetes
cluster
Key: SPARK-18278
URL: https://issues.apache.org/jira/browse/SPARK-18278
Project: Spark
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Nicholas Chammas updated SPARK-18277:
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Description:
It appears that you cannot use {{fill()}} and friends to quickly modify
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Nicholas Chammas commented on SPARK-18277:
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[~marmbrus] / [~yhuai]: Is there is workaround for
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Nicholas Chammas updated SPARK-18277:
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Description:
It appears that you cannot use {{fill()}} and friends to quickly modify
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Yun Ni commented on SPARK-18081:
This is super helpful. Thanks!
> Locality Sensitive Hashing (LSH) User
Nicholas Chammas created SPARK-18277:
Summary: na.fill() and friends should work on struct fields
Key: SPARK-18277
URL: https://issues.apache.org/jira/browse/SPARK-18277
Project: Spark
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Michael Armbrust commented on SPARK-18258:
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I agree that we don't want to lock people in, which
Seth Hendrickson created SPARK-18276:
Summary: Some ML training summaries are not copied when {{copy()}}
is called.
Key: SPARK-18276
URL: https://issues.apache.org/jira/browse/SPARK-18276
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Michael Armbrust updated SPARK-18258:
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Target Version/s: 2.2.0
> Sinks need access to offset representation
>
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Seth Hendrickson commented on SPARK-18081:
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No worries, just wanted to check in to see if you
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Reynold Xin resolved SPARK-18197.
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Resolution: Fixed
Assignee: Adam Roberts
Fix Version/s: 2.1.0
> Optimise
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Apache Spark reassigned SPARK-18260:
Assignee: Apache Spark
> from_json can throw a better exception when it can't find the
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Apache Spark commented on SPARK-18260:
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User 'brkyvz' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18260:
Assignee: (was: Apache Spark)
> from_json can throw a better exception when it can't
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Sean Owen updated SPARK-18273:
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Priority: Minor (was: Major)
I'm not sure it's worth the complexity. How about passing a glob
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Miao Wang commented on SPARK-18266:
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[~felixcheung] Is this an umbrella JIRA?
> Update R vignettes and
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Sean Owen resolved SPARK-18193.
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Resolution: Not A Problem
I looked into this further and found that it does work to add RDDs after
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Sean Owen resolved SPARK-18065.
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Resolution: Not A Problem
> Spark 2 allows filter/where on columns not in current schema
>
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Sean Owen resolved SPARK-17969.
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Resolution: Won't Fix
> I think it's user unfriendly to process standard json file with DataFrame
>
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Sean Owen resolved SPARK-17945.
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Resolution: Won't Fix
> Writing to S3 should allow setting object metadata
>
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Miao Wang commented on SPARK-15784:
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I created a new PR to implement PIC as a Transformer.
> Add Power
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Nattavut Sutyanyong commented on SPARK-17337:
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Totally agreed on your approach. We should
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Herman van Hovell commented on SPARK-17337:
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[~nsyca] You are right to say that this is part of
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Apache Spark commented on SPARK-15784:
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User 'wangmiao1981' has created a pull request for this
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holdenk updated SPARK-18128:
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-18267
> Add support for publishing to PyPI
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holdenk commented on SPARK-18128:
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When I e-mailed [~prabinb] earlier this week I got an out of office
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https://issues.apache.org/jira/browse/SPARK-18128?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15637111#comment-15637111
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holdenk commented on SPARK-18128:
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Sure
> Add support for publishing to PyPI
>
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https://issues.apache.org/jira/browse/SPARK-18081?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15637102#comment-15637102
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Yun Ni commented on SPARK-18081:
Sorry, I was really overloaded this week. I will try my best to send a
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holdenk commented on SPARK-18128:
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Good call - so publishing to PyPI test has worked fine but there might
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https://issues.apache.org/jira/browse/SPARK-17337?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Herman van Hovell updated SPARK-17337:
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Labels: correctness (was: )
> Incomplete algorithm for name resolution in Catalyst
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https://issues.apache.org/jira/browse/SPARK-17348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15637099#comment-15637099
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Herman van Hovell commented on SPARK-17348:
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Yeah, it would be nice if you can consolidate the
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https://issues.apache.org/jira/browse/SPARK-18275?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-18275.
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Resolution: Not A Problem
Questions should go to user@
Priority queues are not necessarily sorted
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Nicholas Chammas commented on SPARK-18128:
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For the record: Let's also check with the PyPI
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Nattavut Sutyanyong commented on SPARK-17348:
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I'd like to a note that a piece of existing
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https://issues.apache.org/jira/browse/SPARK-4563?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15636802#comment-15636802
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György Süveges edited comment on SPARK-4563 at 11/4/16 4:13 PM:
+1
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https://issues.apache.org/jira/browse/SPARK-4563?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15636802#comment-15636802
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György Süveges edited comment on SPARK-4563 at 11/4/16 4:01 PM:
+1
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https://issues.apache.org/jira/browse/SPARK-4563?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15636802#comment-15636802
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György Süveges edited comment on SPARK-4563 at 11/4/16 4:00 PM:
+1
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