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From "Dongjoon Hyun (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-25906) spark-shell cannot handle `-i` option correctly
Date Thu, 01 Nov 2018 06:33:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-25906?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Dongjoon Hyun updated SPARK-25906:
----------------------------------
    Priority: Critical  (was: Major)

> spark-shell cannot handle `-i` option correctly
> -----------------------------------------------
>
>                 Key: SPARK-25906
>                 URL: https://issues.apache.org/jira/browse/SPARK-25906
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Dongjoon Hyun
>            Priority: Critical
>
> This is a regression on Spark 2.4.0.
> *Spark 2.3.2*
> {code:java}
> $ cat test.scala
> spark.version
> case class Record(key: Int, value: String)
> spark.sparkContext.parallelize((1 to 2).map(i => Record(i, s"val_$i"))).toDF.show
> $ bin/spark-shell -i test.scala
> 18/10/31 23:22:43 WARN NativeCodeLoader: Unable to load native-hadoop library for your
platform... using builtin-java classes where applicable
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
> Spark context Web UI available at http://localhost:4040
> Spark context available as 'sc' (master = local[*], app id = local-1541053368478).
> Spark session available as 'spark'.
> Loading test.scala...
> res0: String = 2.3.2
> defined class Record
> 18/10/31 23:22:56 WARN ObjectStore: Failed to get database global_temp, returning NoSuchObjectException
> +---+-----+
> |key|value|
> +---+-----+
> |  1|val_1|
> |  2|val_2|
> +---+-----+
> {code}
> *Spark 2.4.0 RC5*
> {code:java}
> $ bin/spark-shell -i test.scala
> 2018-10-31 23:23:14 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library
for your platform... using builtin-java classes where applicable
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
> Spark context Web UI available at http://localhost:4040
> Spark context available as 'sc' (master = local[*], app id = local-1541053400312).
> Spark session available as 'spark'.
> test.scala:17: error: value toDF is not a member of org.apache.spark.rdd.RDD[Record]
> Error occurred in an application involving default arguments.
>        spark.sparkContext.parallelize((1 to 2).map(i => Record(i, s"val_$i"))).toDF.show
> {code}



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