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https://issues.apache.org/jira/browse/SPARK-15245?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-15245.
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Resolution: Won't Fix
Oh you're referring just to the arg name. Yeah it's because it comes from
something deeper down that's validating the path. To me it's not much worth
worrying about
> stream API throws an exception with an incorrect message when the path is not
> a direcotry
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-15245
> URL: https://issues.apache.org/jira/browse/SPARK-15245
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Hyukjin Kwon
> Priority: Trivial
>
> {code}
> val path = "tmp.csv" // This is not a directory
> val cars = spark.read
> .format("csv")
> .stream(path)
> .write
> .option("checkpointLocation", "streaming.metadata")
> .startStream("tmp")
> {code}
> This throws an exception as below.
> {code}
> java.lang.IllegalArgumentException: Option 'basePath' must be a directory
> at
> org.apache.spark.sql.execution.datasources.PartitioningAwareFileCatalog.basePaths(PartitioningAwareFileCatalog.scala:180)
> at
> org.apache.spark.sql.execution.datasources.PartitioningAwareFileCatalog.inferPartitioning(PartitioningAwareFileCatalog.scala:117)
> at
> org.apache.spark.sql.execution.datasources.ListingFileCatalog.partitionSpec(ListingFileCatalog.scala:54)
> at
> org.apache.spark.sql.execution.datasources.PartitioningAwareFileCatalog.allFiles(PartitioningAwareFileCatalog.scala:65)
> at
> org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:350)
> at
> org.apache.spark.sql.execution.datasources.DataSource.org$apache$spark$sql$execution$datasources$DataSource$$dataFrameBuilder$1(DataSource.scala:197)
> at
> org.apache.spark.sql.execution.datasources.DataSource$$anonfun$createSource$1.apply(DataSource.scala:201)
> at
> org.apache.spark.sql.execution.datasources.DataSource$$anonfun$createSource$1.apply(DataSource.scala:201)
> at
> org.apache.spark.sql.execution.streaming.FileStreamSource.getBatch(FileStreamSource.scala:101)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$5.apply(StreamExecution.scala:313)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$5.apply(StreamExecution.scala:310)
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> {code}
> It seems {{path}} is set to {{basePath}} in {{DataSource}}. This might be
> great if it has a better message.
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