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Paul Wu edited comment on SPARK-20427 at 10/1/19 4:13 PM:
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Some one asked me
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Paul Wu edited comment on SPARK-20427 at 10/1/19 3:49 PM:
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Some one asked me
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Paul Wu commented on SPARK-20427:
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Some one asked me this problem months ago and I found a solution for
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Paul Wu updated SPARK-27077:
Description:
I am not very sure this is a Spark core issue or a Vertica issue, however I
intended to
Paul Wu created SPARK-27077:
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Summary: DataFrameReader and Number of Connection Limitation
Key: SPARK-27077
URL: https://issues.apache.org/jira/browse/SPARK-27077
Project: Spark
Issue Type: Bug
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Paul Wu commented on SPARK-22371:
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Got the same problem with 2.3 and also the program stalled:
{{
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Paul Wu resolved SPARK-23617.
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Resolution: Duplicate
Fix Version/s: 2.3.0
As commented by Hyukjin Kwon, the issue is duplicated
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Paul Wu updated SPARK-23617:
Description:
One can register a function using Scala:
{{spark.udf.register("uuid",
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Paul Wu updated SPARK-23617:
Description:
One can register a function using Scala:
spark.udf.register("uuid",
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Paul Wu updated SPARK-23617:
Description:
One can register a function using Scala:
{{spark.udf.register("uuid",
Paul Wu created SPARK-23617:
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Summary: Register a Function without params with Spark SQL Java API
Key: SPARK-23617
URL: https://issues.apache.org/jira/browse/SPARK-23617
Project: Spark
Issue Type:
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Paul Wu updated SPARK-23193:
Summary: Insert into Spark Table statement cannot specify column names
(was: Insert into Spark Table
Paul Wu created SPARK-23193:
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Summary: Insert into Spark Table cannot specify column names
Key: SPARK-23193
URL: https://issues.apache.org/jira/browse/SPARK-23193
Project: Spark
Issue Type: Bug
Paul Wu created SPARK-21740:
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Summary: DataFrame.write does not work with Phoenix JDBC Driver
Key: SPARK-21740
URL: https://issues.apache.org/jira/browse/SPARK-21740
Project: Spark
Issue Type: Bug
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Paul Wu commented on SPARK-17614:
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Oh, sorry. I thought I could use a query hereas I do with other
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Paul Wu commented on SPARK-17614:
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So create a new issue? Or this is not an issue to you?
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Paul Wu edited comment on SPARK-17614 at 7/28/17 6:14 PM:
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The fix does not
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Paul Wu edited comment on SPARK-17614 at 7/28/17 6:09 PM:
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The fix does not
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Paul Wu reopened SPARK-17614:
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The fix does not support the syntax on the syntax like this:
{{.jdbc(JDBC_URL, "(select * from emp)",
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Paul Wu edited comment on SPARK-17614 at 7/28/17 6:08 PM:
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The fix does not
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Paul Wu edited comment on SPARK-19296 at 1/20/17 9:52 PM:
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We found this Util is
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Paul Wu commented on SPARK-19296:
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We found this Util is very useful in general (much, much better than
Paul Wu created SPARK-19296:
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Summary: Awkward changes for JdbcUtils.saveTable in Spark 2.1.0
Key: SPARK-19296
URL: https://issues.apache.org/jira/browse/SPARK-19296
Project: Spark
Issue Type: Bug
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Paul Wu updated SPARK-18123:
Description:
Blindly quoting every field name for inserting is the issue (Line 110-119,
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Paul Wu commented on SPARK-18123:
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Just tried if it worked for the issue. But after I found the code, I
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Paul Wu updated SPARK-18123:
Description:
Blindly quoting every field name for inserting is the issue (Line 110-119,
Paul Wu created SPARK-18123:
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Summary:
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils.saveTable the case
senstivity issue
Key: SPARK-18123
URL: https://issues.apache.org/jira/browse/SPARK-18123
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Paul Wu updated SPARK-17614:
Comment: was deleted
(was: Create pull request: https://github.com/apache/spark/pull/15183)
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Paul Wu commented on SPARK-17614:
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Create pull request: https://github.com/apache/spark/pull/15183
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Paul Wu edited comment on SPARK-17614 at 9/21/16 5:42 PM:
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No, Custom
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Paul Wu updated SPARK-17614:
Priority: Major (was: Minor)
> sparkSession.read() .jdbc(***) use the sql syntax "where 1=0" that
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Paul Wu commented on SPARK-17614:
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No, Custom JdbcDialect won't resolve the problem since DataFrameReader
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Paul Wu commented on SPARK-17614:
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Thanks. I tried to register my custom dialect as following, but it
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Paul Wu commented on SPARK-17614:
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Work around: Rebuild the Cassandra JDBC wrapper by modifying
Paul Wu created SPARK-17614:
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Summary: sparkSession.read() .jdbc(***) use the sql syntax "where
1=0" that Cassandra does not support
Key: SPARK-17614
URL: https://issues.apache.org/jira/browse/SPARK-17614
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Paul Wu updated SPARK-9255:
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Attachment: (was: timestamp_bug.zip)
Timestamp handling incorrect for Spark 1.4.1 on Linux
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Paul Wu commented on SPARK-9255:
Related https://issues.apache.org/jira/browse/SPARK-9058,
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Paul Wu commented on SPARK-9255:
[~srowen] I don't think it is due to version
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Paul Wu updated SPARK-9255:
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Attachment: timestamp_bug.zip
the project can run without issues. But when it is deployed to the
Timestamp
Paul Wu created SPARK-9255:
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Summary: Timestamp handling incorrect for Spark 1.4.1 on Linux
Key: SPARK-9255
URL: https://issues.apache.org/jira/browse/SPARK-9255
Project: Spark
Issue Type: Bug
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Paul Wu updated SPARK-9255:
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Description:
This is a very strange case involving timestamp I can run the program on
Windows using dev
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Paul Wu edited comment on SPARK-9255 at 7/22/15 6:52 PM:
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The
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Paul Wu closed SPARK-9087.
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Resolution: Fixed
Fix Version/s: 1.4.1
1.4.1 fixed the issue.
Broken SQL on where condition involving
Paul Wu created SPARK-9087:
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Summary: Broken SQL on where condition involving timestamp and
time string.
Key: SPARK-9087
URL: https://issues.apache.org/jira/browse/SPARK-9087
Project: Spark
Issue
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Paul Wu commented on SPARK-7804:
Unfortunately, JdbcRDD was poorly designed since the
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Paul Wu edited comment on SPARK-7804 at 5/22/15 12:00 PM:
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Paul Wu created SPARK-7804:
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Summary: Incorrect results from JDBCRDD -- one record repeatly and
incorrect field value
Key: SPARK-7804
URL: https://issues.apache.org/jira/browse/SPARK-7804
Project: Spark
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Paul Wu updated SPARK-7804:
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Description:
Getting only one record repeated in the RDD and repeated field value:
I have a table like:
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Paul Wu commented on SPARK-7804:
Thanks -- you are right. The cache() was a problem and
Paul Wu created SPARK-7746:
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Summary: SetFetchSize for JDBCRDD's prepareStatement
Key: SPARK-7746
URL: https://issues.apache.org/jira/browse/SPARK-7746
Project: Spark
Issue Type: New Feature
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Paul Wu commented on SPARK-6936:
You are right: I used spark-hive_2.10 instead of
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Paul Wu commented on SPARK-6936:
Not sure about HiveContext. I tried to do the following
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Paul Wu updated SPARK-6936:
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Comment: was deleted
(was: Not sure about HiveContext. I tried to do the following program and I got
Paul Wu created SPARK-6936:
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Summary: SQLContext.sql() caused deadlock in multi-thread env
Key: SPARK-6936
URL: https://issues.apache.org/jira/browse/SPARK-6936
Project: Spark
Issue Type: Bug
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Paul Wu commented on SPARK-6936:
1. The query is something like this (sorry since the data
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Paul Wu commented on SPARK-6936:
Currently, I synchronized the part, which seems to be
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