我在将spark数据帧写入csv和parquet时出错。我已经尝试安装winutil,但是仍然不能解决这个错误。
我的代码
INVALID_IMEI <- c("012345678901230","000000000000000")
setwd("D:/Revas/Jatim Old")
fileList <- list.files()
cdrSchema <- structType(structField("date","string"),
structField("time","string"),
structField("a_number","string"),
structField("b_number", "string"),
structField("duration","integer"),
structField("lac_cid","string"),
structField("imei","string"))
file <- fileList[1]
filePath <- paste0("D:/Revas/Jatim Old/",file)
dataset <- read.df(filePath, header="false",source="csv",delimiter="|",schema=cdrSchema)
dataset <- filter(dataset, ifelse(dataset$imei %in% INVALID_IMEI,FALSE,TRUE))
dataset <- filter(dataset, ifelse(isnan(dataset$imei),FALSE,TRUE))
dataset <- filter(dataset, ifelse(isNull(dataset$imei),FALSE,TRUE))为了导出数据帧,我尝试使用以下代码
write.df(dataset, "D:/spark/dataset",mode="overwrite")
write.parquet(dataset, "D:/spark/dataset",mode="overwrite")我得到了下面的错误
Error: Error in save : org.apache.spark.SparkException: Job aborted.
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormatWriter.scala:215)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:173)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:173)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:173)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:145)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
at org.apache.spark.sql.execution.comma发布于 2017-09-23 11:07:44
我已经找到了可能的原因。问题似乎出在winutil版本中,之前我使用的是2.6版本。将其更改为2.8似乎可以解决此问题
https://stackoverflow.com/questions/46372056
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