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https://issues.apache.org/jira/browse/PHOENIX-2336?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15415665#comment-15415665
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Josh Mahonin commented on PHOENIX-2336:
---------------------------------------
Hi [~kalyanhadoop]
Sorry I've been negligent in getting back to you, thanks for staying on top of
it.
I'd like to get this patch in as soon as the 4.8.0 release is out the door (RC2
is being voted on as we speak).
Can you confirm that the same patch fixes PHOENIX-2336, PHOENIX-2290 as well as
PHOENIX-2547? If so, that's a pretty great fix. Would it be possible to include
a small unit test for PHOENIX-2336 and PHOENIX-2290 in addition to the one you
have for PHOENIX-2547?
Thanks!
> 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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