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zhengruifeng updated SPARK-30120:
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Description: ping [~huaxingao]
> LSH approxNearestNeighbors should use TopByKeyAggregator when
jiaan.geng created SPARK-30110:
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Summary: Support type judgment for ArrayData
Key: SPARK-30110
URL: https://issues.apache.org/jira/browse/SPARK-30110
Project: Spark
Issue Type: Bug
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sam commented on SPARK-30101:
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[~cloud_fan] [~kabhwan] Well this is at least a documentation error since
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Wenchen Fan resolved SPARK-29537.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26195
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Wenchen Fan reassigned SPARK-29537:
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Assignee: wuyi
> throw exception when user defined a wrong base path
>
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huangtianhua commented on SPARK-29106:
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[~shaneknapp], now we don't have to install leveldbjni-all
Herman van Hövell created SPARK-30108:
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Summary: Add robust accumulator for observable metrics
Key: SPARK-30108
URL: https://issues.apache.org/jira/browse/SPARK-30108
Project: Spark
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Herman van Hövell resolved SPARK-29348.
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Fix Version/s: 3.0.0
Resolution: Fixed
> Add observable metrics
>
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sam reopened SPARK-30101:
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What is expected, is what is documented.
> Dataset distinct does not respect spark.default.parallelism
>
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sam updated SPARK-30101:
Summary: spark.sql.shuffle.partitions is not in Configuration docs, but a
very critical parameter (was: Dataset
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sam updated SPARK-30101:
Description:
I'm creating a `SparkSession` like this:
```
SparkSession
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Anton Okolnychyi commented on SPARK-30107:
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I'll submit a PR
> Expose nested schema pruning to
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Ruben Berenguel commented on SPARK-30063:
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Wow, this looks bad for now (since grouped_aggs are
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Anton Okolnychyi updated SPARK-30107:
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Description: I think it would be great to expose the existing logic for
nested schema
Anton Okolnychyi created SPARK-30107:
Summary: Expose nested schema pruning to all V2 sources
Key: SPARK-30107
URL: https://issues.apache.org/jira/browse/SPARK-30107
Project: Spark
Issue
zhengruifeng created SPARK-30109:
Summary: PCA use BLAS.gemv with sparse vector
Key: SPARK-30109
URL: https://issues.apache.org/jira/browse/SPARK-30109
Project: Spark
Issue Type: Improvement
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Wenchen Fan reassigned SPARK-30048:
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Assignee: Kent Yao
> Enable aggregates with interval type values for
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Wenchen Fan resolved SPARK-30048.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26681
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Jungtaek Lim commented on SPARK-30101:
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I'm not aware of how configuration page is constructed, but
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Thomas Graves commented on SPARK-18886:
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Note there is discussion on this subject on prs:
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Wenchen Fan resolved SPARK-30082.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26738
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Wenchen Fan reassigned SPARK-30082:
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Assignee: John Ayad
> Zeros are being treated as NaNs
> ---
>
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Dongjoon Hyun resolved SPARK-30012.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26728
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Dongjoon Hyun reassigned SPARK-30012:
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Assignee: Sean R. Owen
> Change classes extending scala collection classes to work
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Wenchen Fan resolved SPARK-30083.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26716
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Wenchen Fan reassigned SPARK-30083:
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Assignee: Kent Yao
> visitArithmeticUnary should wrap PLUS case with UnaryPositive for
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Sean R. Owen updated SPARK-29477:
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Priority: Minor (was: Major)
> Improve tooltip information for Streaming Tab
>
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Sean R. Owen reassigned SPARK-29477:
Assignee: Rakesh Raushan
> Improve tooltip information for Streaming Tab
>
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Sean R. Owen resolved SPARK-29477.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26467
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Bryan Cutler commented on SPARK-30063:
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I haven't looked at your bug report in detail but you are
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Tim Kellogg commented on SPARK-30063:
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Improvement suggestions
* Set the PYTHONHASHSEED environment
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Aman Omer commented on SPARK-29667:
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Actually there is also JIRA for decimal type mismatching due to
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Aman Omer commented on SPARK-29667:
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Hi [~jessielin], did you observed same issue with any other data
Shane Knapp created SPARK-30111:
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Summary: spark R dockerfile fails to build
Key: SPARK-30111
URL: https://issues.apache.org/jira/browse/SPARK-30111
Project: Spark
Issue Type: Bug
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Shane Knapp commented on SPARK-29106:
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got it, thanks!
> Add jenkins arm test for spark
>
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Shane Knapp commented on SPARK-29988:
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i probably won't get around to this until next week...
>
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Aman Omer edited comment on SPARK-29667 at 12/3/19 7:03 PM:
Actually there
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Dongjoon Hyun resolved SPARK-30060.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26692
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Dongjoon Hyun reassigned SPARK-30060:
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Assignee: Luca Canali
> Uniform naming for Spark Metrics configuration parameters
>
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Bryan Cutler commented on SPARK-29748:
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[~zero323] I made some updates to the PR with remove the
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Dongjoon Hyun reassigned SPARK-30106:
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Assignee: deshanxiao
> DynamicPartitionPruningSuite#"no predicate on the dimension
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Dongjoon Hyun resolved SPARK-30106.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26744
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Dongjoon Hyun resolved SPARK-30051.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26742
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Dongjoon Hyun reassigned SPARK-30051:
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Assignee: Dongjoon Hyun
> Clean up hadoop-3.2 transitive dependencies
>
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Ilan Filonenko commented on SPARK-30111:
The error seems to be from:
{code:yaml}
Step 6/12 :
L. C. Hsieh created SPARK-30112:
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Summary: Insert overwrite should be able to overwrite to same
table under dynamic partition overwrite
Key: SPARK-30112
URL: https://issues.apache.org/jira/browse/SPARK-30112
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Hyukjin Kwon resolved SPARK-29903.
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Fix Version/s: 3.0.0
Resolution: Fixed
Fixed in
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Hyukjin Kwon commented on SPARK-29988:
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Sure, take your time. just as a reminder, Hive version can
Nicholas Chammas created SPARK-30113:
Summary: Document mergeSchema option in Python Orc APIs
Key: SPARK-30113
URL: https://issues.apache.org/jira/browse/SPARK-30113
Project: Spark
Issue
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Hyukjin Kwon commented on SPARK-30063:
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{quote}
Set the PYTHONHASHSEED environment variable such
Lantao Jin created SPARK-30117:
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Summary: Improve limit only query on Hive table and view
Key: SPARK-30117
URL: https://issues.apache.org/jira/browse/SPARK-30117
Project: Spark
Issue Type:
Lantao Jin created SPARK-30116:
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Summary: Improve limit only query on views
Key: SPARK-30116
URL: https://issues.apache.org/jira/browse/SPARK-30116
Project: Spark
Issue Type: Sub-task
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zhengruifeng reassigned SPARK-30109:
Assignee: zhengruifeng
> PCA use BLAS.gemv with sparse vector
>
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zhengruifeng resolved SPARK-30109.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26745
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Hyukjin Kwon commented on SPARK-30062:
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Can you open a PR to fix DB2 dialect then?
> bug with
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jiaan.geng resolved SPARK-30110.
Resolution: Won't Fix
> Support type judgment for ArrayData
> ---
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Guy Huinen commented on SPARK-30062:
ok
> bug with DB2Driver using mode("overwrite")
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Hyukjin Kwon resolved SPARK-29667.
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Resolution: Duplicate
I am resolving this as a duplicate of SPARK-29860.
> implicitly
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huangtianhua commented on SPARK-29106:
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[~shaneknapp], ok, thanks, sorry and I found the mvn
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Hyukjin Kwon commented on SPARK-30063:
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Closing this assuming the issue was resolved.
> Failure
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Hyukjin Kwon resolved SPARK-30063.
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Resolution: Not A Problem
> Failure when returning a value from multiple Pandas UDFs
>
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Nicholas Chammas updated SPARK-30091:
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Summary: Document mergeSchema option directly in the Python Parquet APIs
(was:
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Hyukjin Kwon updated SPARK-29667:
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Description:
Ran into error on this sql
Mismatched columns:
{code}
[(a.`id`:decimal(28,0),
Lantao Jin created SPARK-30114:
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Summary: Optimize LIMIT only query by partial listing files
Key: SPARK-30114
URL: https://issues.apache.org/jira/browse/SPARK-30114
Project: Spark
Issue Type:
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Shane Knapp resolved SPARK-30111.
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Resolution: Fixed
> spark R dockerfile fails to build
> -
>
>
John Zhuge created SPARK-30118:
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Summary: ALTER VIEW QUERY does not work
Key: SPARK-30118
URL: https://issues.apache.org/jira/browse/SPARK-30118
Project: Spark
Issue Type: Bug
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Shane Knapp reassigned SPARK-30111:
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Assignee: Ilan Filonenko
> spark R dockerfile fails to build
>
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Shane Knapp commented on SPARK-29106:
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nice catch... fixed and relaunched.
> Add jenkins arm test
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Hyukjin Kwon commented on SPARK-29667:
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I think this issue is a duplicate of SPARK-29860. [The PR
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Hyukjin Kwon reassigned SPARK-29903:
Assignee: Nicholas Chammas
> Add documentation for recursiveFileLookup
>
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Hyukjin Kwon updated SPARK-29667:
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Description:
Ran into error on this sql
Mismatched columns:
{code}
[(a.`id`:decimal(28,0),
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Lantao Jin updated SPARK-30114:
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Description:
We use Spark as ad-hoc query engine. Most of users' SELECT queries with LIMIT
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Hyukjin Kwon updated SPARK-29600:
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Description:
{code}
SELECT array_contains(array(0,0.1,0.2,0.3,0.5,0.02,0.033), .2);
{code}
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Lantao Jin updated SPARK-30114:
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Summary: Improve LIMIT only query by partial listing files (was: Optimize
LIMIT only query by
Lantao Jin created SPARK-30115:
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Summary: Improve limit only query on datasource table
Key: SPARK-30115
URL: https://issues.apache.org/jira/browse/SPARK-30115
Project: Spark
Issue Type:
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Hyukjin Kwon updated SPARK-29591:
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Description:
Support data insertion in a different order if you wish or even omit some
columns
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Hyukjin Kwon updated SPARK-29591:
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Description:
Support data insertion in a different order if you wish or even omit some
columns
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Hyukjin Kwon updated SPARK-29591:
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Description:
Support data insertion in a different order if you wish or even omit some
columns
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Hyukjin Kwon resolved SPARK-27025.
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Resolution: Duplicate
Actually, I think this was done by SPARK-27659 ..
> Speed up
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Hyukjin Kwon reopened SPARK-27025:
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> Speed up toLocalIterator
>
>
> Key: SPARK-27025
>
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John Zhuge commented on SPARK-30118:
{code:java}
spark-sql> DESC FORMATTED jzhuge.v1;
foo1string
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John Zhuge commented on SPARK-30118:
I am running Spark master with Hive 1.2.1. Same issue in Spark
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Nicholas Chammas commented on SPARK-27547:
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Should this be marked as resolved by
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Hyukjin Kwon reassigned SPARK-30091:
Assignee: Nicholas Chammas
> Document mergeSchema option directly in the Python Parquet
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Hyukjin Kwon resolved SPARK-30091.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26730
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huangtianhua commented on SPARK-29106:
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[~shaneknapp]，：）
So seems you're back:) Could you please
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Hyukjin Kwon resolved SPARK-30113.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26755
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Hyukjin Kwon reassigned SPARK-30113:
Assignee: Nicholas Chammas
> Document mergeSchema option in Python Orc APIs
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https://issues.apache.org/jira/browse/SPARK-30118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16987491#comment-16987491
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Lantao Jin edited comment on SPARK-30118 at 12/4/19 3:42 AM:
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I think it had
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https://issues.apache.org/jira/browse/SPARK-30118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16987491#comment-16987491
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Lantao Jin commented on SPARK-30118:
I think it had been fixed in latest version. Could you try it
jobit mathew created SPARK-30119:
Summary: Support pagination for spark streaming tab
Key: SPARK-30119
URL: https://issues.apache.org/jira/browse/SPARK-30119
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-27547?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-27547.
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Resolution: Duplicate
> fix DataFrame self-join problems
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Rakesh Raushan commented on SPARK-30119:
I will raise PR for this one.
> Support pagination for
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jobit mathew updated SPARK-30119:
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Affects Version/s: 3.0.0
> Support pagination for spark streaming tab
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https://issues.apache.org/jira/browse/SPARK-30082?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan updated SPARK-30082:
Fix Version/s: 2.4.5
> Zeros are being treated as NaNs
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https://issues.apache.org/jira/browse/SPARK-30099?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan reassigned SPARK-30099:
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Assignee: jobit mathew
> Improve Analyzed Logical Plan as duplicate AnalysisExceptions are
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Wenchen Fan resolved SPARK-30099.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26734
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https://issues.apache.org/jira/browse/SPARK-28921?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16987593#comment-16987593
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jugosag commented on SPARK-28921:
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We are also observing this on two of our clusters, both set up with
zhengruifeng created SPARK-30120:
Summary: LSH approxNearestNeighbors should use TopByKeyAggregator
when numNearestNeighbors is small
Key: SPARK-30120
URL: https://issues.apache.org/jira/browse/SPARK-30120
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