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https://issues.apache.org/jira/browse/SPARK-39380?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chen Zhang updated SPARK-39380:
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Description:
In version 3.2, Spark SQL ignores semicolons in comment syntax when splitting
input
Chen Zhang created SPARK-39380:
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Summary: Ignore comment syntax in dfs command
Key: SPARK-39380
URL: https://issues.apache.org/jira/browse/SPARK-39380
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-32978?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17201516#comment-17201516
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Chen Zhang commented on SPARK-32978:
Hello, [~yumwang]
I used the default config Spark to run this
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https://issues.apache.org/jira/browse/SPARK-32956?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17200382#comment-17200382
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Chen Zhang commented on SPARK-32956:
Okay, I will submit a PR later.
> Duplicate Columns in a csv
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https://issues.apache.org/jira/browse/SPARK-32956?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chen Zhang updated SPARK-32956:
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Component/s: (was: Spark Core)
SQL
> Duplicate Columns in a csv file
>
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https://issues.apache.org/jira/browse/SPARK-32956?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17200092#comment-17200092
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Chen Zhang commented on SPARK-32956:
In SPARK-16896, if the CSV data has duplicate column headers,
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https://issues.apache.org/jira/browse/SPARK-32317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chen Zhang updated SPARK-32317:
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Labels: (was: easyfix)
> Parquet file loading with different schema(Decimal(N, P)) in files is
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https://issues.apache.org/jira/browse/SPARK-32317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chen Zhang updated SPARK-32317:
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Component/s: (was: PySpark)
SQL
> Parquet file loading with different
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https://issues.apache.org/jira/browse/SPARK-32639?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chen Zhang updated SPARK-32639:
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Attachment: 000.snappy.parquet
> Support GroupType parquet mapkey field
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Chen Zhang created SPARK-32639:
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Summary: Support GroupType parquet mapkey field
Key: SPARK-32639
URL: https://issues.apache.org/jira/browse/SPARK-32639
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-32317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17160786#comment-17160786
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Chen Zhang commented on SPARK-32317:
Spark uses requiredSchema to convert the read parquet file
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https://issues.apache.org/jira/browse/SPARK-32317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17160207#comment-17160207
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Chen Zhang edited comment on SPARK-32317 at 7/19/20, 6:40 PM:
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The DECIMAL
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https://issues.apache.org/jira/browse/SPARK-32317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17160207#comment-17160207
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Chen Zhang edited comment on SPARK-32317 at 7/19/20, 6:38 PM:
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The DECIMAL
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https://issues.apache.org/jira/browse/SPARK-32317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17160207#comment-17160207
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Chen Zhang edited comment on SPARK-32317 at 7/19/20, 6:10 PM:
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The DECIMAL
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https://issues.apache.org/jira/browse/SPARK-32317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17160207#comment-17160207
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Chen Zhang commented on SPARK-32317:
The DECIMAL type in Parquet is stored by INT32, INT64,
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https://issues.apache.org/jira/browse/SPARK-32226?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17156501#comment-17156501
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Chen Zhang commented on SPARK-32226:
[~thesuperzapper], glad to receive your reply.
I don't have an
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https://issues.apache.org/jira/browse/SPARK-32226?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17156287#comment-17156287
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Chen Zhang commented on SPARK-32226:
Hello [~thesuperzapper],
The dialect of Informix database is
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https://issues.apache.org/jira/browse/SPARK-31635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17156111#comment-17156111
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Chen Zhang commented on SPARK-31635:
Hello [~george21],
I have submitted a PR.
Please take a look.
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https://issues.apache.org/jira/browse/SPARK-32212?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chen Zhang updated SPARK-32212:
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Summary: RDD.takeOrdered can choose to merge intermediate results in
executor or driver (was:
Chen Zhang created SPARK-32212:
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Summary: RDD.takeOrdered merge intermediate results can be
configured in driver or executor
Key: SPARK-32212
URL: https://issues.apache.org/jira/browse/SPARK-32212
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https://issues.apache.org/jira/browse/SPARK-31635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17147653#comment-17147653
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Chen Zhang edited comment on SPARK-31635 at 7/7/20, 10:14 AM:
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In fact, the
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https://issues.apache.org/jira/browse/SPARK-31635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17152618#comment-17152618
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Chen Zhang commented on SPARK-31635:
This problem is not a bug, but I think it is necessary to
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https://issues.apache.org/jira/browse/SPARK-31635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17147653#comment-17147653
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Chen Zhang edited comment on SPARK-31635 at 7/7/20, 10:12 AM:
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In fact, the
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https://issues.apache.org/jira/browse/SPARK-31635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17147653#comment-17147653
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Chen Zhang edited comment on SPARK-31635 at 6/29/20, 9:51 AM:
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In fact, the
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https://issues.apache.org/jira/browse/SPARK-31635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17147653#comment-17147653
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Chen Zhang commented on SPARK-31635:
In fact, the RDD API corresponding to _DF.sort().take()_ is
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https://issues.apache.org/jira/browse/SPARK-32109?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17147328#comment-17147328
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Chen Zhang commented on SPARK-32109:
The logic in the source code can be represented by the
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https://issues.apache.org/jira/browse/SPARK-10925?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15458996#comment-15458996
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Chen Zhang commented on SPARK-10925:
I have the same issue too. Very annoying. After I do several
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