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https://issues.apache.org/jira/browse/PHOENIX-2336?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15417740#comment-15417740
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Josh Mahonin commented on PHOENIX-2336:
---------------------------------------

Hi [~kalyanhadoop]

That github commit looks good. Can you upload a new patch file which includes 
the changes with all three unit tests? i.e. a squashed diff of commits
81df0c698ba4155a8f73ffe0ad657e9a5640d811
937cab227c26bc364129e6395bf06378ee536103

Thanks!

Josh

> Queries with small case column-names return empty result-set when working 
> with Spark Datasource Plugin 
> -------------------------------------------------------------------------------------------------------
>
>                 Key: PHOENIX-2336
>                 URL: https://issues.apache.org/jira/browse/PHOENIX-2336
>             Project: Phoenix
>          Issue Type: Bug
>    Affects Versions: 4.6.0
>            Reporter: Suhas Nalapure
>            Assignee: Josh Mahonin
>              Labels: verify
>             Fix For: 4.9.0
>
>
> Hi,
> The Spark DataFrame filter operation returns empty result-set when 
> column-name is in the smaller case. Example below:
> DataFrame df = 
> sqlContext.read().format("org.apache.phoenix.spark").options(params).load();
> df.filter("\"col1\" = '5.0'").show(); 
> Result:
> +---+----+---+---+---+---
> | ID|col1| c1| d2| d3| d4|
> +---+----+---+---+---+---+
> +---+----+---+---+---+---+
> Whereas the table actually has some rows matching the filter condition. And 
> if double quotes are removed from around the column name i.e. df.filter("col1 
> = '5.0'").show(); , a ColumnNotFoundException is thrown:
> Exception in thread "main" java.lang.RuntimeException: 
> org.apache.phoenix.schema.ColumnNotFoundException: ERROR 504 (42703): 
> Undefined column. columnName=D1
>         at 
> org.apache.phoenix.mapreduce.PhoenixInputFormat.getQueryPlan(PhoenixInputFormat.java:125)
>         at 
> org.apache.phoenix.mapreduce.PhoenixInputFormat.getSplits(PhoenixInputFormat.java:80)
>         at 
> org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:95)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
>         at scala.Option.getOrElse(Option.scala:120)



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