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Hyukjin Kwon commented on SPARK-13719:
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Sorry, I will remove the duplicate link because it is a
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Hyukjin Kwon commented on SPARK-13953:
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Let me work on this as soon as some PRs that would cause
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Hyukjin Kwon updated SPARK-13953:
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Description:
It would be great if we maybe set {{spark.sql.columnNameOfCorruptRecord}} via
Hyukjin Kwon created SPARK-13953:
Summary: Support for specifying the field name for corrupted
record at JSON datasource.
Key: SPARK-13953
URL: https://issues.apache.org/jira/browse/SPARK-13953
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Hyukjin Kwon edited comment on SPARK-13728 at 3/8/16 10:17 AM:
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I see. I
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Hyukjin Kwon edited comment on SPARK-13728 at 3/8/16 10:17 AM:
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I see. I
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Hyukjin Kwon commented on SPARK-13728:
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I see. I found some clues. It looks
Hyukjin Kwon created SPARK-13667:
Summary: Support for specifying custom date format for date and
timestamp types
Key: SPARK-13667
URL: https://issues.apache.org/jira/browse/SPARK-13667
Project:
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Hyukjin Kwon updated SPARK-13638:
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Description:
https://github.com/databricks/spark-csv/pull/254
tobithiel reported this.
{quote}
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Hyukjin Kwon updated SPARK-13638:
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Description:
https://github.com/databricks/spark-csv/pull/254
tobithiel reported this.
{quote}
Hyukjin Kwon created SPARK-13638:
Summary: Support for saving with a quote mode
Key: SPARK-13638
URL: https://issues.apache.org/jira/browse/SPARK-13638
Project: Spark
Issue Type: Sub-task
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Hyukjin Kwon updated SPARK-13638:
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Description:
https://github.com/databricks/spark-csv/pull/254
tobithiel reported this.
{quote}
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Hyukjin Kwon updated SPARK-13638:
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Description:
https://github.com/databricks/spark-csv/pull/254
tobithiel reported this.
{quote}
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Hyukjin Kwon edited comment on SPARK-13766 at 3/9/16 9:59 AM:
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Firstly,
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Hyukjin Kwon commented on SPARK-13766:
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Firstly, sorry, I just checked this after creating a PR.
I
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Hyukjin Kwon commented on SPARK-13766:
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Are there any possibility that the "part-*" files could be
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Hyukjin Kwon commented on SPARK-14103:
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This issue in Univocity is fixed and they will release
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Hyukjin Kwon commented on SPARK-14189:
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I can work on this.
> JSON data source infers a field type
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Hyukjin Kwon updated SPARK-14189:
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Description:
When inferred types in the same field during finding competible {{DataType}}
are
Hyukjin Kwon created SPARK-14189:
Summary: JSON data source infers a field type as StringType when
some are inferred as DecimalType not capable of IntegralType.
Key: SPARK-14189
URL:
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Hyukjin Kwon edited comment on SPARK-14103 at 4/5/16 12:45 AM:
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Oh, sorry I
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Hyukjin Kwon commented on SPARK-14231:
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[~rxin] I can work on this but would you maybe confirm
Hyukjin Kwon created SPARK-14231:
Summary: JSON data source fails to infer floats as decimal when
precision is bigger than 38 or scale is bigger than precision.
Key: SPARK-14231
URL:
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Hyukjin Kwon updated SPARK-14231:
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Description:
Currently, JSON data source supports {{floatAsBigDecimal}} option, which reads
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Hyukjin Kwon commented on SPARK-14260:
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For me, yes, I think the error message should be more
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Hyukjin Kwon commented on SPARK-14103:
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[~shubhanshumis...@gmail.com] I just wonder if I could have
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Hyukjin Kwon commented on SPARK-14103:
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Thank you so much for cutting it short. Currenrly Im not too
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Hyukjin Kwon commented on SPARK-14260:
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Hm.. wouldn't users set the {{maxCharsPerColumn}} if they
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Hyukjin Kwon edited comment on SPARK-14260 at 3/30/16 10:40 AM:
For me,
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Hyukjin Kwon updated SPARK-14271:
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Description:
I realised that {{rowSeparator}} option is exposed but it does not actually
work
Hyukjin Kwon created SPARK-14271:
Summary: Exposed option but not implemented rowSeparator option.
Key: SPARK-14271
URL: https://issues.apache.org/jira/browse/SPARK-14271
Project: Spark
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Hyukjin Kwon commented on SPARK-14103:
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Thanks for detailed directions. Fortunately, I think i found
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Hyukjin Kwon updated SPARK-14271:
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Summary: rowSeparator does not work for both reading and writing (was:
Exposed option but not
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Hyukjin Kwon resolved SPARK-14271.
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Resolution: Invalid
Sorry, this option is not exposed but just exists in {{CSVOptions}}.
>
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Hyukjin Kwon commented on SPARK-14231:
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Sorry for adding many comment but maybe would this better
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Hyukjin Kwon commented on SPARK-14231:
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I will change the name when I open a PR and yes I think we
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Hyukjin Kwon edited comment on SPARK-14103 at 4/2/16 8:34 AM:
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Hyukjin Kwon edited comment on SPARK-14103 at 4/2/16 8:35 AM:
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Hyukjin Kwon commented on SPARK-14103:
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[~shubhanshumis...@gmail.com] Right, it looks like an issue
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Hyukjin Kwon commented on SPARK-14103:
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cc [~falaki] [~r...@databricks.com]
> Python DataFrame CSV
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Hyukjin Kwon edited comment on SPARK-14103 at 4/2/16 1:51 PM:
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Hyukjin Kwon edited comment on SPARK-14103 at 4/2/16 4:22 PM:
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After
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Hyukjin Kwon edited comment on SPARK-14103 at 4/2/16 4:23 PM:
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After
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Hyukjin Kwon commented on SPARK-14103:
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After thinking further, I realised that this might be a
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Hyukjin Kwon commented on SPARK-14103:
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Oh, sorry I should have mentioned that it reads all the data
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Hyukjin Kwon edited comment on SPARK-14103 at 4/4/16 11:34 PM:
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Oh, sorry I
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Hyukjin Kwon edited comment on SPARK-14103 at 4/4/16 11:37 PM:
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Oh, sorry I
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Hyukjin Kwon commented on SPARK-14103:
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Just to cut it short, the input is being read as a byte
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Hyukjin Kwon edited comment on SPARK-14103 at 4/4/16 11:52 PM:
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Just to cut
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Hyukjin Kwon commented on SPARK-14194:
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Yes. CSV data source internally uses {{TextInputFormat}} and
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Hyukjin Kwon commented on SPARK-14103:
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As [~sowen] said, CRLF is dealt with in {{TextInputFormat}}
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Hyukjin Kwon updated SPARK-14103:
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Comment: was deleted
(was: As [~sowen] said, CRLF is dealt with in {{TextInputFormat}} which
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Hyukjin Kwon commented on SPARK-14103:
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As [~sowen] said, CRLF is dealt with in {{TextInputFormat}}
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Hyukjin Kwon edited comment on SPARK-14103 at 3/30/16 1:30 AM:
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As [~sowen]
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Hyukjin Kwon updated SPARK-14103:
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Comment: was deleted
(was: As [~sowen] said, CRLF is dealt with in {{TextInputFormat}} which
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Hyukjin Kwon commented on SPARK-14103:
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As [~sowen] said, CRLF is dealt with in {{TextInputFormat}}
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Hyukjin Kwon commented on SPARK-14103:
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For long messages, there is a JIRA opened already here,
Hyukjin Kwon created SPARK-14260:
Summary: Increase default value for maxCharsPerColumn
Key: SPARK-14260
URL: https://issues.apache.org/jira/browse/SPARK-14260
Project: Spark
Issue Type:
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Hyukjin Kwon commented on SPARK-14260:
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I am currently not sure if this value does not affect
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Hyukjin Kwon updated SPARK-14839:
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Description:
This was found in https://github.com/apache/spark/pull/12494.
Currently, Spark SQL
Hyukjin Kwon created SPARK-14839:
Summary: Support for other types as option in OPTIONS clause
Key: SPARK-14839
URL: https://issues.apache.org/jira/browse/SPARK-14839
Project: Spark
Issue
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Hyukjin Kwon commented on SPARK-14962:
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I see. This was because ORC tries to apply a filter on the
Hyukjin Kwon created SPARK-14917:
Summary: Enable some ORC compressions tests for writing
Key: SPARK-14917
URL: https://issues.apache.org/jira/browse/SPARK-14917
Project: Spark
Issue Type:
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Hyukjin Kwon commented on SPARK-12143:
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[~srowen] Can I close this? This was resolved by my PR
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Hyukjin Kwon commented on SPARK-13425:
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[~rxin] I will. Thanks! (I believe R one is not yet,
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Hyukjin Kwon commented on SPARK-14962:
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FWIW, I could not reproduce this in master branch. Let me
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Hyukjin Kwon edited comment on SPARK-14962 at 4/29/16 5:27 AM:
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~~FWIW, I
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Hyukjin Kwon edited comment on SPARK-14103 at 4/29/16 5:28 AM:
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Oh, sorry I
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Hyukjin Kwon edited comment on SPARK-14962 at 4/29/16 5:29 AM:
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-FWIW, I
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Hyukjin Kwon updated SPARK-14962:
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Affects Version/s: 2.0.0
> spark.sql.orc.filterPushdown=true breaks DataFrame where
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Hyukjin Kwon edited comment on SPARK-15393 at 5/20/16 5:51 AM:
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Hyukjin Kwon edited comment on SPARK-15393 at 5/20/16 5:36 AM:
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Hyukjin Kwon commented on SPARK-15393:
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Hm.. I am trying to reproduce this exceptions.
I added a
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Hyukjin Kwon commented on SPARK-15393:
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Oh yes. It seems serious.. it seems that PR is going to be
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Hyukjin Kwon reopened SPARK-10216:
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I am reopening this because this causes a problem, SPARK-15393.
> Avoid creating empty files
Hyukjin Kwon created SPARK-15475:
Summary: Add tests for writing and reading back empty data for
Parquet, Json and Text data sources
Key: SPARK-15475
URL: https://issues.apache.org/jira/browse/SPARK-15475
Hyukjin Kwon created SPARK-15474:
Summary: ORC data source fails to write and read back empty
dataframe
Key: SPARK-15474
URL: https://issues.apache.org/jira/browse/SPARK-15474
Project: Spark
Hyukjin Kwon created SPARK-15476:
Summary: Support for reading text data source without specifying
schema
Key: SPARK-15476
URL: https://issues.apache.org/jira/browse/SPARK-15476
Project: Spark
Hyukjin Kwon created SPARK-15473:
Summary: CSV fails to write empty dataframe
Key: SPARK-15473
URL: https://issues.apache.org/jira/browse/SPARK-15473
Project: Spark
Issue Type: Bug
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Hyukjin Kwon commented on SPARK-15473:
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I will work on this.
> CSV fails to write empty dataframe
>
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Hyukjin Kwon updated SPARK-15473:
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Description:
Currently CSV data source fails to write and read empty data.
The code below:
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Hyukjin Kwon closed SPARK-15476.
Resolution: Not A Problem
I was totally stupid. I was testing {{test}} for {{text}}. Closing this.
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Hyukjin Kwon commented on SPARK-15393:
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Ah.. thank you! I think the examples you wrote and I wrote
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Hyukjin Kwon closed SPARK-15325.
Resolution: Duplicate
> Replace the usage of deprecated DataSet API in tests
>
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Hyukjin Kwon closed SPARK-15325.
Resolution: Fixed
It seems {{unionAll()}} is cleaned up and it seems this duplicates another. So
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Hyukjin Kwon reopened SPARK-15325:
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> Replace the usage of deprecated DataSet API in tests
>
Hyukjin Kwon created SPARK-15325:
Summary: Replace the usage of deprecated DataSet API in tests
Key: SPARK-15325
URL: https://issues.apache.org/jira/browse/SPARK-15325
Project: Spark
Issue
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Hyukjin Kwon commented on SPARK-15325:
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I will work on this.
> Replace the usage of deprecated
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https://issues.apache.org/jira/browse/SPARK-15266?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15279575#comment-15279575
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Hyukjin Kwon commented on SPARK-15266:
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I will work on this.
> Use SparkSession instead of
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https://issues.apache.org/jira/browse/SPARK-15266?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-15266:
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Affects Version/s: 2.0.0
> Use SparkSession instead of SQLContext in Python tests
>
Hyukjin Kwon created SPARK-15266:
Summary: Use SparkSession instead of SQLContext in Python tests
Key: SPARK-15266
URL: https://issues.apache.org/jira/browse/SPARK-15266
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-15266?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon closed SPARK-15266.
Resolution: Duplicate
> Use SparkSession instead of SQLContext in Python tests
>
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https://issues.apache.org/jira/browse/SPARK-15266?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15279591#comment-15279591
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Hyukjin Kwon commented on SPARK-15266:
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Oh, sorry. I could not find. Thank you for correcting me.
>
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https://issues.apache.org/jira/browse/SPARK-15267?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15279635#comment-15279635
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Hyukjin Kwon commented on SPARK-15267:
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I will work on this.
> Refactor and add some classes for
Hyukjin Kwon created SPARK-15267:
Summary: Refactor and add some classes for options in datasources
like CSVOptions or JSONOptions
Key: SPARK-15267
URL: https://issues.apache.org/jira/browse/SPARK-15267
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https://issues.apache.org/jira/browse/SPARK-10216?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-10216:
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Affects Version/s: 2.0.0
> Avoid creating empty files during overwrite into Hive table with
Hyukjin Kwon created SPARK-15198:
Summary: Support for filter push down for boolean types in ORC
Key: SPARK-15198
URL: https://issues.apache.org/jira/browse/SPARK-15198
Project: Spark
Issue
Hyukjin Kwon created SPARK-15144:
Summary: option nullValue for CSV data source not working for
several types.
Key: SPARK-15144
URL: https://issues.apache.org/jira/browse/SPARK-15144
Project: Spark
Hyukjin Kwon created SPARK-15143:
Summary: CSV data source is not being tested as HadoopFsRelation
Key: SPARK-15143
URL: https://issues.apache.org/jira/browse/SPARK-15143
Project: Spark
Hyukjin Kwon created SPARK-15148:
Summary: Upgrade Univocity library from 2.0.2 to 2.1.0
Key: SPARK-15148
URL: https://issues.apache.org/jira/browse/SPARK-15148
Project: Spark
Issue Type:
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