GitHub user watermen opened a pull request:
https://github.com/apache/spark/pull/4532
[SPARK-5741][SQL] Support comma in path in HiveContext
When run ```select * from nzhang_part where hr = 'file,';```, it will throw
error ```java.lang.IllegalArgumentException: Can not create a Path from an
empty string```
```, because the path name of hdfs contains comma.
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)
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/watermen/spark SPARK-5741
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/4532.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #4532
----
commit 2eedacc06b36dd582155da1709985e6d262a1e57
Author: q00251598 <[email protected]>
Date: 2015-02-11T09:16:06Z
change setInputPaths to set
commit dc83c8893dc43f4efa6631f6d0aef925ab84c4dc
Author: q00251598 <[email protected]>
Date: 2015-02-11T09:41:18Z
change setInputPaths to set
commit ae41e55c93745c8eaa3f0a5bd50131917271481d
Author: q00251598 <[email protected]>
Date: 2015-02-11T09:52:37Z
change setInputPaths to set
commit 358ba4d8614536b68b938a71f67011911d158c8d
Author: q00251598 <[email protected]>
Date: 2015-02-11T10:17:32Z
change FileInputFormat.setInputPaths to jobConf.set
commit 0ab9fac1ba9410b1a632c4d63357c3e7437b031b
Author: q00251598 <[email protected]>
Date: 2015-02-11T10:48:52Z
change FileInputFormat.setInputPaths to jobConf.set
----
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