Member since
03-26-2017
61
Posts
1
Kudos Received
3
Solutions
My Accepted Solutions
Title | Views | Posted |
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3014 | 08-27-2018 03:19 PM | |
24975 | 08-27-2018 03:18 PM | |
9573 | 04-02-2018 01:54 PM |
11-27-2018
08:10 AM
Hi @Felix Albani, Tanx for your response. I reffered this site i'm thinking my issues is related to the story. Cheers, MJ
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09-17-2018
05:57 AM
@Manikandan Jeyabal
It is hard to provide the exact values based on the data size. However you can refer to the following article to understand Executor Memory/Core/Resource Optimization. https://community.hortonworks.com/articles/42803/spark-on-yarn-executor-resource-allocation-optimiz.html https://dzone.com/articles/apache-spark-on-yarn-resource-planning
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09-17-2018
05:53 AM
Hi @vgarg, Since 0.11 hive has a NVL function nvl(T value, T default_value) which says Returns default value if value is null else returns value
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08-27-2018
03:18 PM
Hi Issue got resolved, i'm trying to perform Group by operation inside a Columns literal, group by itself will produce a new columns instead writing a query like i asked above we have to change our query accordingly as follow. inputDf = inputDf.groupBy(col("tableName"),col("runDate")) .agg(sum(when(col("MinBusinessDate") < col("runDate") && col("MaxBusinessDate") > col("runDate"), when(col("business_date") > col("runDate"), col("rowCount")))).alias("NewColumnName"))
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08-27-2018
03:19 PM
Hi Issue got resolved, i'm trying to perform Group by operation inside a Columns literal, group by itself will produce a new columns instead writing a query like i asked above we have to change our query accordingly as follow. inputDf = inputDf.groupBy(col("tableName"),col("runDate")) .agg(sum(when(col("MinBusinessDate")< col("runDate")&& col("MaxBusinessDate")> col("runDate"), when(col("business_date")> col("runDate"), col("rowCount")))).alias("NewColumnName"))
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08-25-2018
06:40 AM
Hi @Felix Albani yes your suggestion works fine, i think i have to extend my object as app to make it work. Tanx Bro.
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08-24-2018
01:13 AM
Hi Aditya, Tanx for your reply, is there any other posts or blog can i find how to implement the schema evolution in ORC ?
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07-09-2018
08:06 AM
Hi @Sandeep Nemuri, I think i found the answer from Stackoverflow site. Tanx for you info.
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07-09-2018
08:05 AM
Tanx for your info @Felix Albani
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06-13-2018
05:21 PM
It's already installed and the issue resolved now, tanx for you response.
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