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https://issues.apache.org/jira/browse/SPARK-25906?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16671264#comment-16671264
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Hyukjin Kwon edited comment on SPARK-25906 at 11/1/18 8:49 AM:
---------------------------------------------------------------
The root cause seems to be
[https://github.com/scala/scala/commit/99dad60d984d3f72338f3bad4c4fe905090edd51.]
They change what {{-i}} means in that change.
{{-i}} option is replaced to {{-I}}. The _newly replaced_ option {{-i}} at
Scala 2.11.12 works like {{:paste}} (previously it worked like {{:load}}). but
still I wonder why the newly replaced {{-i}} option does not work.
Basically here's what's going on:
{code}
scala> :paste test.scala
Pasting file test.scala...
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}
{{:paste}} itself looks not working fine in both Spark 2.3 and 2.4.
FWIW, {{./bin/spark-shell --help}} does not show this option.
was (Author: hyukjin.kwon):
The root cause seems to be
[https://github.com/scala/scala/commit/99dad60d984d3f72338f3bad4c4fe905090edd51.]
They change what {{-i}} means in that change.
{{-i}} option is replaced to {{-I}}. The _newly replaced_ option {{-i}} at
Scala 2.11.12 works like {{:paste}} (previously it worked like {{:load}}). but
still I wonder why the newly replaced {{-i}} option does not work.
FWIW, {{./bin/spark-shell --help}} does not show this option.
> 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: Major
>
> 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}
> *WORKAROUND*
> Add the following line at the first of the script.
> {code}
> import spark.implicits._
> {code}
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