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https://issues.apache.org/jira/browse/SPARK-7327?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Olivier Girardot closed SPARK-7327.
-----------------------------------
    Resolution: Cannot Reproduce

I can't seem to reproduce the issue and I did not attach any repro step... 
Sorry I'm closing this as "Cannot reproduce" until I find back my failing 
example.

Thanks for your time.

> 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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