Unable to load an file from ADLS(azure Datalake) to Hive table - hadoop

Question

When ever i am tring to load a file from my azure datalake storage to an Hive table using below command,
hiveContext.sql(LOAD DATA INPATH 'adl://bienodad56872stgadlstemp.azuredatalakestore.net/Enriched/Nielsen/NielsenScantrack/Incremental_withoutRepartition/NLS_SYN_SCT.csv' OVERWRITE INTO TABLE sample.test03)
i am getting an error :ApplicationMaster: User class threw exception: java.lang.reflect.InvocationTargetException
java.lang.reflect.InvocationTargetException
Whole error Log:
17/07/05 05:45:48 INFO SparkSqlParser: Parsing command: CREATE TABLE IF NOT EXISTS sample.test03 ( GEO STRING,UPC STRING,WeekEnding STRING,BaseDollars INT,BaseDollars_AnyPromo INT,BaseDollars_Display INT,BaseDollars_FeatAndDisp INT,BaseDollars_FeatAndOrDisp INT,BaseDollars_Feature INT,BaseDollars_NoPromo INT,BaseDollars_TPR INT,BaseUnits INT,BaseUnits_AnyPromo INT,BaseUnits_Display INT,BaseUnits_EQ STRING,BaseUnits_EQ_AnyPromo STRING,BaseUnits_EQ_Display STRING,BaseUnits_EQ_FeatAndDisp STRING,BaseUnits_EQ_FeatAndOrDisp STRING,BaseUnits_EQ_Feature STRING,BaseUnits_EQ_NoPromo STRING,BaseUnits_EQ_TPR STRING,BaseUnits_FeatAndDisp INT,BaseUnits_FeatAndOrDisp INT,BaseUnits_Feature INT,BaseUnits_NoPromo INT,BaseUnits_TPR INT,Dollars INT,Dollars_AnyPromo INT,Dollars_Display INT,Dollars_FeatAndDisp INT,Dollars_FeatAndOrDisp INT,Dollars_Feature INT,Dollars_NoPromo INT,Dollars_TPR INT,PACV_Discount INT,PACV_DispWOFeat INT,PACV_FeatAndDisp INT,PACV_FeatWODisp INT,Units INT,Units_AnyPromo INT,Units_Display INT,Units_EQ INT,Units_EQ_AnyPromo STRING,Units_EQ_Display STRING,Units_EQ_FeatAndDisp STRING,Units_EQ_FeatAndOrDisp STRING,Units_EQ_Feature STRING,Units_EQ_NoPromo STRING,Units_EQ_TPR STRING,Units_FeatAndDisp INT,Units_FeatAndOrDisp INT,Units_Feature INT,Units_NoPromo INT,Units_TPR INT,ACV INT ) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE
17/07/05 05:45:49 INFO SparkSqlParser: Parsing command: LOAD DATA INPATH 'adl://bienodad56872stgadlstemp.azuredatalakestore.net/Enriched/Nielsen/NielsenScantrack/Incremental_withoutRepartition/NLS_SYN_SCT.csv' OVERWRITE INTO TABLE sample.test03
17/07/05 05:45:49 INFO SessionState: Could not get hdfsEncryptionShim, it is only applicable to hdfs filesystem.
17/07/05 05:45:49 INFO Hive: Replacing src:adl://bienodad56872stgadlstemp.azuredatalakestore.net/Enriched/Nielsen/NielsenScantrack/Incremental_withoutRepartition/NLS_SYN_SCT.csv, dest: wasb://bieno-da-d-56872-unilevercom-hdi-01#049bienobrunilevercomstg.blob.core.windows.net/hive/warehouse/sample.db/test03/NLS_SYN_SCT.csv, Status:false
17/07/05 05:45:49 ERROR ApplicationMaster: User class threw exception: java.lang.reflect.InvocationTargetException
java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.sql.hive.client.Shim_v0_14.loadTable(HiveShim.scala:633)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$loadTable$1.apply$mcV$sp(HiveClientImpl.scala:646)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$loadTable$1.apply(HiveClientImpl.scala:646)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$loadTable$1.apply(HiveClientImpl.scala:646)
at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:280)
at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:227)
at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:226)
at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:269)
at org.apache.spark.sql.hive.client.HiveClientImpl.loadTable(HiveClientImpl.scala:645)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$loadTable$1.apply$mcV$sp(HiveExternalCatalog.scala:248)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$loadTable$1.apply(HiveExternalCatalog.scala:246)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$loadTable$1.apply(HiveExternalCatalog.scala:246)
at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:72)
at org.apache.spark.sql.hive.HiveExternalCatalog.loadTable(HiveExternalCatalog.scala:246)
at org.apache.spark.sql.catalyst.catalog.SessionCatalog.loadTable(SessionCatalog.scala:297)
at org.apache.spark.sql.execution.command.LoadDataCommand.run(tables.scala:335)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:86)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:86)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:186)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:167)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:65)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:582)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:682)
at com.accenture.Unilever.Nielsen.RestatementSample.Restatement(RestatementSample.scala:70)
at com.accenture.Unilever.StageToEnrich.RestatementLogic$.main(RestatementLogic.scala:36)
at com.accenture.Unilever.StageToEnrich.RestatementLogic.main(RestatementLogic.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:627)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Error moving: adl://bienodad56872stgadlstemp.azuredatalakestore.net/Enriched/Nielsen/NielsenScantrack/Incremental_withoutRepartition/NLS_SYN_SCT.csv into: wasb://bieno-da-d-56872-unilevercom-hdi-01#049bienobrunilevercomstg.blob.core.windows.net/hive/warehouse/sample.db/test03/NLS_SYN_SCT.csv
at org.apache.hadoop.hive.ql.metadata.Hive.replaceFiles(Hive.java:2919)
at org.apache.hadoop.hive.ql.metadata.Hive.loadTable(Hive.java:1640)
... 44 more
Caused by: java.io.IOException: Error moving: adl://bienodad56872stgadlstemp.azuredatalakestore.net/Enriched/Nielsen/NielsenScantrack/Incremental_withoutRepartition/NLS_SYN_SCT.csv into: wasb://bieno-da-d-56872-unilevercom-hdi-01#049bienobrunilevercomstg.blob.core.windows.net/hive/warehouse/sample.db/test03/NLS_SYN_SCT.csv
at org.apache.hadoop.hive.ql.metadata.Hive.replaceFiles(Hive.java:2913)
... 45 more
I can execute the same code from HIVE shell but from spark script i am getting this error. Is there any special Jar file i need to include. Any help will be appreciated.