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https://issues.apache.org/jira/browse/SPARK-19286?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gopal Nagar reopened SPARK-19286:
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This is an issue for us. This is not a question.
We are using Spark version 1.6 and are facing the issue similar to one
mentioned in the URL we have faced.
If both the issues are same then please attach this issue with the original
issue else provide a solution for the issue that we are facing,.
> Spark/Hive insert Into has unexpected results
> ---------------------------------------------
>
> Key: SPARK-19286
> URL: https://issues.apache.org/jira/browse/SPARK-19286
> Project: Spark
> Issue Type: Bug
> Components: Java API
> Affects Versions: 1.6.1
> Environment: Dev
> Reporter: Gopal Nagar
>
> Hi Team,
> We are using Java API to call Spark job for inserting the data in Hive table.
> When we perform Append operation, Spark inserts data in Hive considering that
> Hive columns are in Alphabetical order. We don’t see this issue if we using
> Pyspark. We are using Spark 1.6.1 & Hive 1.0 in EMR 4.6.0.
> Further researching on the issue, I found that similar issue has been
> reported in Spark 2.2.0. Could you please advise if this issue present in
> Spark 1.6.1 as well ?
> https://issues.apache.org/jira/browse/SPARK-14543
> As per our understanding PySpark & Java called Spark both will use same Spark
> APIs in backend for similar operation. Please advise if this is not the case.
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