Yadong Qi created SPARK-5741:
--------------------------------

             Summary: Support comma in path in HiveContext
                 Key: SPARK-5741
                 URL: https://issues.apache.org/jira/browse/SPARK-5741
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.2.0
            Reporter: Yadong Qi


set hive.merge.mapfiles=true; 
set hive.merge.mapredfiles=true;
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
set hive.exec.dynamic.partition=true;
set hive.exec.dynamic.partition.mode=nonstrict;

create table nzhang_part like srcpart;

insert overwrite table nzhang_part partition (ds='2010-08-15', hr) select key, 
value, hr from srcpart where ds='2008-04-08';

insert overwrite table nzhang_part partition (ds='2010-08-15', hr=11) select 
key, value from srcpart where ds='2008-04-08';

insert overwrite table nzhang_part partition (ds='2010-08-15', hr)  
select * from (
    select key, value, hr from srcpart where ds='2008-04-08'
    union all
    select '1' as key, '1' as value, 'file,' as hr from src limit 1) s;

select * from nzhang_part where hr = 'file,';

###############################
Error log
###############################
15/02/10 14:33:16 ERROR SparkSQLDriver: Failed in [select * from nzhang_part 
where hr = 'file,']
java.lang.IllegalArgumentException: Can not create a Path from an empty string
        at org.apache.hadoop.fs.Path.checkPathArg(Path.java:127)
        at org.apache.hadoop.fs.Path.<init>(Path.java:135)
        at org.apache.hadoop.util.StringUtils.stringToPath(StringUtils.java:241)
        at 
org.apache.hadoop.mapred.FileInputFormat.setInputPaths(FileInputFormat.java:400)
        at 
org.apache.spark.sql.hive.HadoopTableReader$.initializeLocalJobConfFunc(TableReader.scala:251)
        at 
org.apache.spark.sql.hive.HadoopTableReader$$anonfun$11.apply(TableReader.scala:229)
        at 
org.apache.spark.sql.hive.HadoopTableReader$$anonfun$11.apply(TableReader.scala:229)
        at 
org.apache.spark.rdd.HadoopRDD$$anonfun$getJobConf$6.apply(HadoopRDD.scala:172)
        at 
org.apache.spark.rdd.HadoopRDD$$anonfun$getJobConf$6.apply(HadoopRDD.scala:172)
        at scala.Option.map(Option.scala:145)
        at org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:172)
        at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:196)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:223)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:221)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:221)
        at 
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:223)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:221)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:221)
        at 
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:223)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:221)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:221)
        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$$anonfun$partitions$2.apply(RDD.scala:223)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:221)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:221)
        at 
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:223)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:221)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:221)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1391)
        at org.apache.spark.rdd.RDD.collect(RDD.scala:811)
        at 
org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:81)
        at 
org.apache.spark.sql.hive.HiveContext$QueryExecution.stringResult(HiveContext.scala:446)
        at 
org.apache.spark.sql.hive.thriftserver.AbstractSparkSQLDriver.run(AbstractSparkSQLDriver.scala:58)
        at 
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:275)
        at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:423)
        at 
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:211)
        at 
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:403)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:77)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)





--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to