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https://issues.apache.org/jira/browse/SPARK-5068?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14990352#comment-14990352
]
Xiao Li edited comment on SPARK-5068 at 11/4/15 8:34 PM:
---------------------------------------------------------
Now, the default value of this feature is off.
spark.sql.hive.verifyPartitionPath
You can turn it on and do a retry.
For more details, you can read the following JIRA:
https://issues.apache.org/jira/browse/SPARK-10198
was (Author: smilegator):
Now, the default value of this feature is off. You can turn it on and do a
retry.
https://issues.apache.org/jira/browse/SPARK-10198
> When the path not found in the hdfs,we can't get the result
> -----------------------------------------------------------
>
> Key: SPARK-5068
> URL: https://issues.apache.org/jira/browse/SPARK-5068
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.2.0
> Reporter: jeanlyn
> Assignee: dongxu
> Fix For: 1.4.0
>
>
> when the partion path was found in the metastore but not found in the hdfs,it
> will casue some problems as follow:
> {noformat}
> hive> show partitions partition_test;
> OK
> dt=1
> dt=2
> dt=3
> dt=4
> Time taken: 0.168 seconds, Fetched: 4 row(s)
> {noformat}
> {noformat}
> hive> dfs -ls /user/jeanlyn/warehouse/partition_test;
> Found 3 items
> drwxr-xr-x - jeanlyn supergroup 0 2014-12-02 16:29
> /user/jeanlyn/warehouse/partition_test/dt=1
> drwxr-xr-x - jeanlyn supergroup 0 2014-12-02 16:29
> /user/jeanlyn/warehouse/partition_test/dt=3
> drwxr-xr-x - jeanlyn supergroup 0 2014-12-02 17:42
> /user/jeanlyn/warehouse/partition_test/dt=4
> {noformat}
> when i run the sql
> {noformat}
> select * from partition_test limit 10
> {noformat} in *hive*,i got no problem,but when i run in *spark-sql* i get
> the error as follow:
> {noformat}
> Exception in thread "main" org.apache.hadoop.mapred.InvalidInputException:
> Input path does not exist:
> hdfs://jeanlyn:9000/user/jeanlyn/warehouse/partition_test/dt=2
> at
> org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:251)
> at
> org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:270)
> at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:201)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
> at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
> at
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
> at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:66)
> at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:66)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:66)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
> at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1328)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:780)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:84)
> at org.apache.spark.sql.SchemaRDD.collect(SchemaRDD.scala:444)
> at org.apache.spark.sql.hive.testpartition$.main(test.scala:23)
> at org.apache.spark.sql.hive.testpartition.main(test.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at com.intellij.rt.execution.application.AppMain.main(AppMain.java:134)
> {noformat}
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