[ https://issues.apache.org/jira/browse/SPARK-10520?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17182266#comment-17182266 ]
Fokko Driesprong commented on SPARK-10520: ------------------------------------------ Can this issue be assigned to my name? Normally this happens automatically when opening a PR. > Dates cannot be summarised > -------------------------- > > Key: SPARK-10520 > URL: https://issues.apache.org/jira/browse/SPARK-10520 > Project: Spark > Issue Type: Bug > Components: PySpark, SparkR, SQL > Affects Versions: 1.5.0 > Reporter: Vincent Warmerdam > Priority: Major > Labels: bulk-closed > > I create a simple dataframe in R and call the summary function on it > (standard R, not SparkR). > {code} > > library(magrittr) > > df <- data.frame( > date = as.Date("2015-01-01") + 0:99, > r = runif(100) > ) > > df %>% summary > date r > Min. :2015-01-01 Min. :0.01221 > 1st Qu.:2015-01-25 1st Qu.:0.30003 > Median :2015-02-19 Median :0.46416 > Mean :2015-02-19 Mean :0.50350 > 3rd Qu.:2015-03-16 3rd Qu.:0.73361 > Max. :2015-04-10 Max. :0.99618 > {code} > Notice that the date can be summarised here. In SparkR; this will give an > error. > {code} > > ddf <- createDataFrame(sqlContext, df) > > ddf %>% summary > Error in invokeJava(isStatic = FALSE, objId$id, methodName, ...) : > org.apache.spark.sql.AnalysisException: cannot resolve 'avg(date)' due to > data type mismatch: function average requires numeric types, not DateType; > at > org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:61) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:53) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:293) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:293) > at > org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:51) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:292) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:290) > at org.apache.spark.sql. > {code} > This is a rather annoying bug since the SparkR documentation currently > suggests that dates are now supported in SparkR. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org