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Posted to issues@spark.apache.org by "Chen Song (JIRA)" <ji...@apache.org> on 2015/05/04 04:41:06 UTC
[jira] [Commented] (SPARK-7327) DataFrame show() method doesn't
like empty dataframes
[ https://issues.apache.org/jira/browse/SPARK-7327?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14526191#comment-14526191 ]
Chen Song commented on SPARK-7327:
----------------------------------
I am working on upgrade the show function. I'll run the empty df test and fix it.
> DataFrame show() method doesn't like empty dataframes
> -----------------------------------------------------
>
> Key: SPARK-7327
> URL: https://issues.apache.org/jira/browse/SPARK-7327
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.1
> Reporter: Olivier Girardot
> Priority: Minor
>
> For an empty DataFrame (for exemple after a filter) any call to show() ends up with :
> {code}
> java.util.MissingFormatWidthException: -0s
> at java.util.Formatter$FormatSpecifier.checkGeneral(Formatter.java:2906)
> at java.util.Formatter$FormatSpecifier.<init>(Formatter.java:2680)
> at java.util.Formatter.parse(Formatter.java:2528)
> at java.util.Formatter.format(Formatter.java:2469)
> at java.util.Formatter.format(Formatter.java:2423)
> at java.lang.String.format(String.java:2790)
> at org.apache.spark.sql.DataFrame$$anonfun$showString$2$$anonfun$apply$4.apply(DataFrame.scala:200)
> at org.apache.spark.sql.DataFrame$$anonfun$showString$2$$anonfun$apply$4.apply(DataFrame.scala:199)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at org.apache.spark.sql.DataFrame$$anonfun$showString$2.apply(DataFrame.scala:199)
> at org.apache.spark.sql.DataFrame$$anonfun$showString$2.apply(DataFrame.scala:198)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.mutable.ArraySeq.foreach(ArraySeq.scala:73)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:198)
> at org.apache.spark.sql.DataFrame.show(DataFrame.scala:314)
> at org.apache.spark.sql.DataFrame.show(DataFrame.scala:320)
> {code}
> If no-one takes it by next friday, I'll fix it, the problem seems to come from the colWidths method :
> {code}
> // Compute the width of each column
> val colWidths = Array.fill(numCols)(0)
> for (row <- rows) {
> for ((cell, i) <- row.zipWithIndex) {
> colWidths(i) = math.max(colWidths(i), cell.length)
> }
> }
> {code}
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