[jira] [Updated] (PHOENIX-2290) Spark Phoenix cannot recognize Phoenix view fields

["James Taylor (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/PHOENIX-2290?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

James Taylor updated PHOENIX-2290:
----------------------------------
    Assignee: Josh Mahonin

> Spark Phoenix cannot recognize Phoenix view fields
> --------------------------------------------------
>
>                 Key: PHOENIX-2290
>                 URL: https://issues.apache.org/jira/browse/PHOENIX-2290
>             Project: Phoenix
>          Issue Type: Bug
>    Affects Versions: 4.5.1
>            Reporter: Fengdong Yu
>            Assignee: Josh Mahonin
>              Labels: spark
>
> I created base table in base shell:
> {code}
> create 'test_table',  {NAME => 'cf1', VERSIONS => 1}
> put 'test_table', 'row_key_1', 'cf1:col_1', '200'
> {code}
> This is a very simple table. then create phoenix view in Phoenix shell.
> {code}
> create view "test_table" (pk varchar primary key, "cf1"."col_1" varchar)
> {code}
> then do following in Spark shell:
> {code}
> val df = sqlContext.load("org.apache.phoenix.spark", Map("table" -> "\"test_table\"",  "zkUrl" -> "localhost:2181"))
> df.registerTempTable("temp")
> {code}
> {code}
> scala> df.printSchema
> root
>  |-- PK: string (nullable = true)
>  |-- col_1: string (nullable = true)
> {code}
> sqlContext.sql("select * from temp")  ------> {color:red} This does work{color}
> then:
> {code}
> sqlContext.sql("select * from temp where col_1='200' ")
> {code}
> {code}
> java.lang.RuntimeException: org.apache.phoenix.schema.ColumnNotFoundException: ERROR 504 (42703): Undefined column. columnName=col_1
> 	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$$anonfun$partitions$2.apply(RDD.scala:219)
> 	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> 	at scala.Option.getOrElse(Option.scala:120)
> 	at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
> 	at org.apache.phoenix.spark.PhoenixRDD.getPartitions(PhoenixRDD.scala:47)
> 	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
> 	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
> 	at scala.Option.getOrElse(Option.scala:120)
> {code}
> {color:red}
> I also tried:
> {code}
> sqlContext.sql("select * from temp where \"col_1\"='200' ")  --> EMPTY result, no exception
> {code}
> {code}
> sqlContext.sql("select * from temp where \"cf1\".\"col_1\"='200' ")  --> exception, cannot recognize SQL
> {code}
> {color}



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