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From "Josh Mahonin (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (PHOENIX-2336) Queries with small case column-names return empty result-set when working with Spark Datasource Plugin
Date Mon, 15 Aug 2016 18:12:21 GMT

     [ https://issues.apache.org/jira/browse/PHOENIX-2336?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Josh Mahonin updated PHOENIX-2336:
----------------------------------
    Fix Version/s: 4.8.1

> 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: Kalyan
>              Labels: verify
>             Fix For: 4.9.0, 4.8.1
>
>         Attachments: PHOENIX-2336_PHOENIX-2290_PHOENIX-2547_code_changes.patch, PHOENIX-2336_PHOENIX-2290_PHOENIX-2547_unit_tests.patch
>
>
> 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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