[
https://issues.apache.org/jira/browse/SPARK-23148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17023935#comment-17023935
]
Jorge Machado commented on SPARK-23148:
---------------------------------------
So I have the same problem if I create a custom data source
```
class ImageFileValidator extends FileFormat with DataSourceRegister with
Serializable
```
So the Problem Needs to be in some other places.
Here my trace:
{code:java}
org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in
stage 2.0 failed 1 times, most recent failure: Lost task 1.0 in stage 2.0 (TID
213, localhost, executor driver): java.io.FileNotFoundException: File
file:somePath/0019_leftImg8%20bit.png does not exist
It is possible the underlying files have been updated. You can explicitly
invalidate the cache in Spark by running 'REFRESH TABLE tableName' command in
SQL or by recreating the Dataset/DataFrame involved.
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:127)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:101)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
at
org.apache.spark.sql.execution.columnar.CachedRDDBuilder$$anonfun$1$$anon$1.hasNext(InMemoryRelation.scala:125)
at
org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:221)
at
org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:299)
at
org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1165)
at
org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1091)
at
org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1156)
{code}
> spark.read.csv with multiline=true gives FileNotFoundException if path
> contains spaces
> --------------------------------------------------------------------------------------
>
> Key: SPARK-23148
> URL: https://issues.apache.org/jira/browse/SPARK-23148
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Bogdan Raducanu
> Assignee: Henry Robinson
> Priority: Major
> Fix For: 2.3.0
>
>
> Repro code:
> {code:java}
> spark.range(10).write.csv("/tmp/a b c/a.csv")
> spark.read.option("multiLine", false).csv("/tmp/a b c/a.csv").count
> 10
> spark.read.option("multiLine", true).csv("/tmp/a b c/a.csv").count
> java.io.FileNotFoundException: File
> file:/tmp/a%20b%20c/a.csv/part-00000-cf84f9b2-5fe6-4f54-a130-a1737689db00-c000.csv
> does not exist
> {code}
> Trying to manually escape fails in a different place:
> {code}
> spark.read.option("multiLine", true).csv("/tmp/a%20b%20c/a.csv").count
> org.apache.spark.sql.AnalysisException: Path does not exist:
> file:/tmp/a%20b%20c/a.csv;
> at
> org.apache.spark.sql.execution.datasources.DataSource$.org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary(DataSource.scala:683)
> at
> org.apache.spark.sql.execution.datasources.DataSource$$anonfun$15.apply(DataSource.scala:387)
> at
> org.apache.spark.sql.execution.datasources.DataSource$$anonfun$15.apply(DataSource.scala:387)
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.immutable.List.foreach(List.scala:381)
> {code}
--
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
