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From "SWATI RAO (JIRA)" <j...@apache.org>
Subject [jira] [Created] (CARBONDATA-905) Unable to execute method public: org.apache.hadoop.hive.ql.metadata.HiveException
Date Tue, 11 Apr 2017 13:21:41 GMT
SWATI RAO created CARBONDATA-905:
------------------------------------

             Summary: Unable to execute method public: org.apache.hadoop.hive.ql.metadata.HiveException
                 Key: CARBONDATA-905
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-905
             Project: CarbonData
          Issue Type: Bug
         Environment: Spark1.6
            Reporter: SWATI RAO
             Fix For: 1.1.0-incubating
         Attachments: Test_Data1.csv, Test_Data1_h1.csv

When we execute Same query in hive, it is working fine but when we execute in carbondata "org.apache.hadoop.hive.ql.metadata.HiveException"
occurs. 

HIVE:
0: jdbc:hive2://hadoop-master:10000> create table Test_Boundary_h1 (c1_int int,c2_Bigint
Bigint,c3_Decimal Decimal(38,30),c4_double double,c5_string string,c6_Timestamp Timestamp,c7_Datatype_Desc
string) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' ;
---------+
result

---------+
---------+
No rows selected (1.177 seconds)
0: jdbc:hive2://hadoop-master:10000> load data local inpath '/opt/Carbon/CarbonData/TestData/Data/Test_Data1_h1.csv'
OVERWRITE INTO TABLE Test_Boundary_h1 ;
---------+
Result

---------+
---------+
No rows selected (0.437 seconds)

0: jdbc:hive2://hadoop-master:10000> select min(c1_int),max(c1_int),sum(c1_int),avg(c1_int)
, count(c1_int), variance(c1_int) from Test_Boundary_h1 where rand(c1_int)=0.6201007799387834
or rand(c1_int)=0.45540022789662593 ;
+-------+-------+-------+-------+------+-------+--+
|  _c0  |  _c1  |  _c2  |  _c3  | _c4  |  _c5  |
+-------+-------+-------+-------+------+-------+--+
| NULL  | NULL  | NULL  | NULL  | 0    | NULL  |
+-------+-------+-------+-------+------+-------+--+
1 row selected (0.996 seconds)


CARBONDATA:
0: jdbc:hive2://hadoop-master:10000> create table Test_Boundary (c1_int int,c2_Bigint Bigint,c3_Decimal
Decimal(38,30),c4_double double,c5_string string,c6_Timestamp Timestamp,c7_Datatype_Desc string)
STORED BY 'org.apache.carbondata.format' ;
---------+
Result

---------+
---------+
No rows selected (4.48 seconds)

0: jdbc:hive2://hadoop-master:10000> LOAD DATA INPATH 'hdfs://192.168.2.145:54310/BabuStore/Data/Test_Data1.csv'
INTO table Test_Boundary OPTIONS('DELIMITER'=',','QUOTECHAR'='','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'='')
;
---------+
Result

---------+
---------+
No rows selected (4.445 seconds)

0: jdbc:hive2://hadoop-master:10000> select min(c1_int),max(c1_int),sum(c1_int),avg(c1_int)
, count(c1_int), variance(c1_int) from Test_Boundary where rand(c1_int)=0.6201007799387834
or rand(c1_int)=0.45540022789662593 ;
Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage
19.0 failed 4 times, most recent failure: Lost task 0.3 in stage 19.0 (TID 826, hadoop-master):
org.apache.hadoop.hive.ql.metadata.HiveException: Unable to execute method public org.apache.hadoop.hive.serde2.io.DoubleWritable
org.apache.hadoop.hive.ql.udf.UDFRand.evaluate(org.apache.hadoop.io.LongWritable)  on object
org.apache.hadoop.hive.ql.udf.UDFRand@3152da1e of class org.apache.hadoop.hive.ql.udf.UDFRand
with arguments {null} of size 1
	at org.apache.hadoop.hive.ql.exec.FunctionRegistry.invoke(FunctionRegistry.java:981)
	at org.apache.spark.sql.hive.HiveSimpleUDF.eval(hiveUDFs.scala:185)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate.eval(Unknown
Source)
	at org.apache.spark.sql.catalyst.expressions.codegen.GeneratePredicate$$anonfun$create$2.apply(GeneratePredicate.scala:68)
	at org.apache.spark.sql.catalyst.expressions.codegen.GeneratePredicate$$anonfun$create$2.apply(GeneratePredicate.scala:68)
	at org.apache.spark.sql.execution.Filter$$anonfun$2$$anonfun$apply$2.apply(basicOperators.scala:74)
	at org.apache.spark.sql.execution.Filter$$anonfun$2$$anonfun$apply$2.apply(basicOperators.scala:72)
	at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:390)
	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
	at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.processInputs(TungstenAggregationIterator.scala:504)
	at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.<init>(TungstenAggregationIterator.scala:686)
	at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:95)
	at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:86)
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
	at org.apache.spark.scheduler.Task.run(Task.scala:89)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.reflect.InvocationTargetException
	at sun.reflect.GeneratedMethodAccessor46.invoke(Unknown Source)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.hadoop.hive.ql.exec.FunctionRegistry.invoke(FunctionRegistry.java:957)
	... 27 more
Caused by: java.lang.NullPointerException
	at org.apache.hadoop.hive.ql.udf.UDFRand.evaluate(UDFRand.java:57)
	... 31 more

Driver stacktrace: (state=,code=0)






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