Java SparkSql 2.4.0 ArrayIndexOutOfBoundsException error












1














I am new to Spark and trying to read a CSV file using Java maven project but getting ArrayIndexOutOfBoundsException error.



Dependencies:



  <dependencies>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.12</artifactId>
<version>2.4.0</version>
</dependency>

<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.12</artifactId>
<version>2.4.0</version>
</dependency>
</dependencies>


Code:



SparkSession spark = SparkSession
.builder()
.appName("Java Spark SQL Example")
.config("spark.master", "local")
.getOrCreate();

//Read file
Dataset<Row> df = spark.read()
.format("csv")
.load("test.csv");


CSV File



name,code
A,1
B,3
C,5


Here is stacktrace



    Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
18/11/12 11:16:25 INFO SparkContext: Running Spark version 2.4.0
18/11/12 11:16:25 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/11/12 11:16:25 INFO SparkContext: Submitted application: Java Spark SQL Example
18/11/12 11:16:25 INFO SecurityManager: Changing view acls to: vkumar
18/11/12 11:16:25 INFO SecurityManager: Changing modify acls to: vkumar
18/11/12 11:16:25 INFO SecurityManager: Changing view acls groups to:
18/11/12 11:16:25 INFO SecurityManager: Changing modify acls groups to:
18/11/12 11:16:25 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(vkumar); groups with view permissions: Set(); users with modify permissions: Set(vkumar); groups with modify permissions: Set()
18/11/12 11:16:26 INFO Utils: Successfully started service 'sparkDriver' on port 54382.
18/11/12 11:16:26 INFO SparkEnv: Registering MapOutputTracker
18/11/12 11:16:26 INFO SparkEnv: Registering BlockManagerMaster
18/11/12 11:16:26 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
18/11/12 11:16:26 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
18/11/12 11:16:26 INFO DiskBlockManager: Created local directory at /private/var/folders/32/7klbv5_94wbddn9kgzvbwnkr0000gn/T/blockmgr-ddd2a79d-7fae-48e4-9658-1a8e2a8bb734
18/11/12 11:16:26 INFO MemoryStore: MemoryStore started with capacity 4.1 GB
18/11/12 11:16:26 INFO SparkEnv: Registering OutputCommitCoordinator
18/11/12 11:16:26 INFO Utils: Successfully started service 'SparkUI' on port 4040.
18/11/12 11:16:26 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://kirmac133.domain.com:4040
18/11/12 11:16:26 INFO Executor: Starting executor ID driver on host localhost
18/11/12 11:16:26 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 54383.
18/11/12 11:16:26 INFO NettyBlockTransferService: Server created on kirmac133.domain.com:54383
18/11/12 11:16:26 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
18/11/12 11:16:26 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO BlockManagerMasterEndpoint: Registering block manager kirmac133.domain.com:54383 with 4.1 GB RAM, BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO SharedState: Setting hive.metastore.warehouse.dir ('null') to the value of spark.sql.warehouse.dir ('file:/Users/vkumar/Documents/intellij/tmvalidator/spark-warehouse').
18/11/12 11:16:26 INFO SharedState: Warehouse path is 'file:/Users/vkumar/Documents/intellij/tmvalidator/spark-warehouse'.
18/11/12 11:16:27 INFO StateStoreCoordinatorRef: Registered StateStoreCoordinator endpoint
18/11/12 11:16:28 INFO FileSourceStrategy: Pruning directories with:
18/11/12 11:16:28 INFO FileSourceStrategy: Post-Scan Filters: (length(trim(value#0, None)) > 0)
18/11/12 11:16:28 INFO FileSourceStrategy: Output Data Schema: struct<value: string>
18/11/12 11:16:28 INFO FileSourceScanExec: Pushed Filters:
18/11/12 11:16:29 INFO CodeGenerator: Code generated in 130.688148 ms
Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 10582
at com.thoughtworks.paranamer.BytecodeReadingParanamer$ClassReader.accept(BytecodeReadingParanamer.java:563)
at com.thoughtworks.paranamer.BytecodeReadingParanamer$ClassReader.access$200(BytecodeReadingParanamer.java:338)
at com.thoughtworks.paranamer.BytecodeReadingParanamer.lookupParameterNames(BytecodeReadingParanamer.java:103)
at com.thoughtworks.paranamer.CachingParanamer.lookupParameterNames(CachingParanamer.java:90)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.getCtorParams(BeanIntrospector.scala:44)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$1(BeanIntrospector.scala:58)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$1$adapted(BeanIntrospector.scala:58)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:240)
at scala.collection.Iterator.foreach(Iterator.scala:937)
at scala.collection.Iterator.foreach$(Iterator.scala:937)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1425)
at scala.collection.IterableLike.foreach(IterableLike.scala:70)
at scala.collection.IterableLike.foreach$(IterableLike.scala:69)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:240)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:237)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.findConstructorParam$1(BeanIntrospector.scala:58)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$19(BeanIntrospector.scala:176)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:233)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:32)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:29)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:194)
at scala.collection.TraversableLike.map(TraversableLike.scala:233)
at scala.collection.TraversableLike.map$(TraversableLike.scala:226)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:194)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$14(BeanIntrospector.scala:170)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$14$adapted(BeanIntrospector.scala:169)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:240)
at scala.collection.immutable.List.foreach(List.scala:388)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:240)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:237)
at scala.collection.immutable.List.flatMap(List.scala:351)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.apply(BeanIntrospector.scala:169)
at com.fasterxml.jackson.module.scala.introspect.ScalaAnnotationIntrospector$._descriptorFor(ScalaAnnotationIntrospectorModule.scala:22)
at com.fasterxml.jackson.module.scala.introspect.ScalaAnnotationIntrospector$.fieldName(ScalaAnnotationIntrospectorModule.scala:30)
at com.fasterxml.jackson.module.scala.introspect.ScalaAnnotationIntrospector$.findImplicitPropertyName(ScalaAnnotationIntrospectorModule.scala:78)
at com.fasterxml.jackson.databind.introspect.AnnotationIntrospectorPair.findImplicitPropertyName(AnnotationIntrospectorPair.java:467)
at com.fasterxml.jackson.databind.introspect.POJOPropertiesCollector._addFields(POJOPropertiesCollector.java:351)
at com.fasterxml.jackson.databind.introspect.POJOPropertiesCollector.collectAll(POJOPropertiesCollector.java:283)
at com.fasterxml.jackson.databind.introspect.POJOPropertiesCollector.getJsonValueMethod(POJOPropertiesCollector.java:169)
at com.fasterxml.jackson.databind.introspect.BasicBeanDescription.findJsonValueMethod(BasicBeanDescription.java:223)
at com.fasterxml.jackson.databind.ser.BasicSerializerFactory.findSerializerByAnnotations(BasicSerializerFactory.java:348)
at com.fasterxml.jackson.databind.ser.BeanSerializerFactory._createSerializer2(BeanSerializerFactory.java:210)
at com.fasterxml.jackson.databind.ser.BeanSerializerFactory.createSerializer(BeanSerializerFactory.java:153)
at com.fasterxml.jackson.databind.SerializerProvider._createUntypedSerializer(SerializerProvider.java:1203)
at com.fasterxml.jackson.databind.SerializerProvider._createAndCacheUntypedSerializer(SerializerProvider.java:1157)
at com.fasterxml.jackson.databind.SerializerProvider.findValueSerializer(SerializerProvider.java:481)
at com.fasterxml.jackson.databind.SerializerProvider.findTypedValueSerializer(SerializerProvider.java:679)
at com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue(DefaultSerializerProvider.java:107)
at com.fasterxml.jackson.databind.ObjectMapper._configAndWriteValue(ObjectMapper.java:3559)
at com.fasterxml.jackson.databind.ObjectMapper.writeValueAsString(ObjectMapper.java:2927)
at org.apache.spark.rdd.RDDOperationScope.toJson(RDDOperationScope.scala:52)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:142)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:247)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:339)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3384)
at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2545)
at org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:3365)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:78)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3365)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2545)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2759)
at org.apache.spark.sql.execution.datasources.csv.TextInputCSVDataSource$.infer(CSVDataSource.scala:232)
at org.apache.spark.sql.execution.datasources.csv.CSVDataSource.inferSchema(CSVDataSource.scala:68)
at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:63)
at org.apache.spark.sql.execution.datasources.DataSource.$anonfun$getOrInferFileFormatSchema$12(DataSource.scala:183)
at scala.Option.orElse(Option.scala:289)
at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:180)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:373)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
at kir.com.tmvalidator.Validator.init(Validator.java:30)
at kir.com.tmvalidator.Home.main(Home.java:7)
18/11/12 11:16:29 INFO SparkContext: Invoking stop() from shutdown hook
18/11/12 11:16:29 INFO SparkUI: Stopped Spark web UI at http://kirmac133.domain.com:4040
18/11/12 11:16:29 INFO ContextCleaner: Cleaned accumulator 4
18/11/12 11:16:29 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
18/11/12 11:16:29 INFO MemoryStore: MemoryStore cleared
18/11/12 11:16:29 INFO BlockManager: BlockManager stopped
18/11/12 11:16:29 INFO BlockManagerMaster: BlockManagerMaster stopped
18/11/12 11:16:29 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
18/11/12 11:16:29 INFO SparkContext: Successfully stopped SparkContext
18/11/12 11:16:29 INFO ShutdownHookManager: Shutdown hook called
18/11/12 11:16:29 INFO ShutdownHookManager: Deleting directory /private/var/folders/32/7klbv5_94wbddn9kgzvbwnkr0000gn/T/spark-1bde2bb5-603d-4fae-9128-7d92f259077b









share|improve this question




















  • 1




    Can you include the stack trace?
    – shriyog
    Nov 12 '18 at 11:16










  • @shriyog - Added
    – VK321
    Nov 12 '18 at 11:21










  • Are you getting this error of above-mentioned input in csv?
    – shriyog
    Nov 12 '18 at 11:28










  • @shriyog - Yes :(
    – VK321
    Nov 12 '18 at 11:28










  • I tested the same for 2.3.0 versions, it works without issues. Checking with 2.4.0
    – shriyog
    Nov 12 '18 at 11:32
















1














I am new to Spark and trying to read a CSV file using Java maven project but getting ArrayIndexOutOfBoundsException error.



Dependencies:



  <dependencies>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.12</artifactId>
<version>2.4.0</version>
</dependency>

<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.12</artifactId>
<version>2.4.0</version>
</dependency>
</dependencies>


Code:



SparkSession spark = SparkSession
.builder()
.appName("Java Spark SQL Example")
.config("spark.master", "local")
.getOrCreate();

//Read file
Dataset<Row> df = spark.read()
.format("csv")
.load("test.csv");


CSV File



name,code
A,1
B,3
C,5


Here is stacktrace



    Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
18/11/12 11:16:25 INFO SparkContext: Running Spark version 2.4.0
18/11/12 11:16:25 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/11/12 11:16:25 INFO SparkContext: Submitted application: Java Spark SQL Example
18/11/12 11:16:25 INFO SecurityManager: Changing view acls to: vkumar
18/11/12 11:16:25 INFO SecurityManager: Changing modify acls to: vkumar
18/11/12 11:16:25 INFO SecurityManager: Changing view acls groups to:
18/11/12 11:16:25 INFO SecurityManager: Changing modify acls groups to:
18/11/12 11:16:25 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(vkumar); groups with view permissions: Set(); users with modify permissions: Set(vkumar); groups with modify permissions: Set()
18/11/12 11:16:26 INFO Utils: Successfully started service 'sparkDriver' on port 54382.
18/11/12 11:16:26 INFO SparkEnv: Registering MapOutputTracker
18/11/12 11:16:26 INFO SparkEnv: Registering BlockManagerMaster
18/11/12 11:16:26 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
18/11/12 11:16:26 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
18/11/12 11:16:26 INFO DiskBlockManager: Created local directory at /private/var/folders/32/7klbv5_94wbddn9kgzvbwnkr0000gn/T/blockmgr-ddd2a79d-7fae-48e4-9658-1a8e2a8bb734
18/11/12 11:16:26 INFO MemoryStore: MemoryStore started with capacity 4.1 GB
18/11/12 11:16:26 INFO SparkEnv: Registering OutputCommitCoordinator
18/11/12 11:16:26 INFO Utils: Successfully started service 'SparkUI' on port 4040.
18/11/12 11:16:26 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://kirmac133.domain.com:4040
18/11/12 11:16:26 INFO Executor: Starting executor ID driver on host localhost
18/11/12 11:16:26 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 54383.
18/11/12 11:16:26 INFO NettyBlockTransferService: Server created on kirmac133.domain.com:54383
18/11/12 11:16:26 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
18/11/12 11:16:26 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO BlockManagerMasterEndpoint: Registering block manager kirmac133.domain.com:54383 with 4.1 GB RAM, BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO SharedState: Setting hive.metastore.warehouse.dir ('null') to the value of spark.sql.warehouse.dir ('file:/Users/vkumar/Documents/intellij/tmvalidator/spark-warehouse').
18/11/12 11:16:26 INFO SharedState: Warehouse path is 'file:/Users/vkumar/Documents/intellij/tmvalidator/spark-warehouse'.
18/11/12 11:16:27 INFO StateStoreCoordinatorRef: Registered StateStoreCoordinator endpoint
18/11/12 11:16:28 INFO FileSourceStrategy: Pruning directories with:
18/11/12 11:16:28 INFO FileSourceStrategy: Post-Scan Filters: (length(trim(value#0, None)) > 0)
18/11/12 11:16:28 INFO FileSourceStrategy: Output Data Schema: struct<value: string>
18/11/12 11:16:28 INFO FileSourceScanExec: Pushed Filters:
18/11/12 11:16:29 INFO CodeGenerator: Code generated in 130.688148 ms
Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 10582
at com.thoughtworks.paranamer.BytecodeReadingParanamer$ClassReader.accept(BytecodeReadingParanamer.java:563)
at com.thoughtworks.paranamer.BytecodeReadingParanamer$ClassReader.access$200(BytecodeReadingParanamer.java:338)
at com.thoughtworks.paranamer.BytecodeReadingParanamer.lookupParameterNames(BytecodeReadingParanamer.java:103)
at com.thoughtworks.paranamer.CachingParanamer.lookupParameterNames(CachingParanamer.java:90)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.getCtorParams(BeanIntrospector.scala:44)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$1(BeanIntrospector.scala:58)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$1$adapted(BeanIntrospector.scala:58)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:240)
at scala.collection.Iterator.foreach(Iterator.scala:937)
at scala.collection.Iterator.foreach$(Iterator.scala:937)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1425)
at scala.collection.IterableLike.foreach(IterableLike.scala:70)
at scala.collection.IterableLike.foreach$(IterableLike.scala:69)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:240)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:237)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.findConstructorParam$1(BeanIntrospector.scala:58)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$19(BeanIntrospector.scala:176)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:233)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:32)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:29)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:194)
at scala.collection.TraversableLike.map(TraversableLike.scala:233)
at scala.collection.TraversableLike.map$(TraversableLike.scala:226)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:194)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$14(BeanIntrospector.scala:170)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$14$adapted(BeanIntrospector.scala:169)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:240)
at scala.collection.immutable.List.foreach(List.scala:388)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:240)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:237)
at scala.collection.immutable.List.flatMap(List.scala:351)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.apply(BeanIntrospector.scala:169)
at com.fasterxml.jackson.module.scala.introspect.ScalaAnnotationIntrospector$._descriptorFor(ScalaAnnotationIntrospectorModule.scala:22)
at com.fasterxml.jackson.module.scala.introspect.ScalaAnnotationIntrospector$.fieldName(ScalaAnnotationIntrospectorModule.scala:30)
at com.fasterxml.jackson.module.scala.introspect.ScalaAnnotationIntrospector$.findImplicitPropertyName(ScalaAnnotationIntrospectorModule.scala:78)
at com.fasterxml.jackson.databind.introspect.AnnotationIntrospectorPair.findImplicitPropertyName(AnnotationIntrospectorPair.java:467)
at com.fasterxml.jackson.databind.introspect.POJOPropertiesCollector._addFields(POJOPropertiesCollector.java:351)
at com.fasterxml.jackson.databind.introspect.POJOPropertiesCollector.collectAll(POJOPropertiesCollector.java:283)
at com.fasterxml.jackson.databind.introspect.POJOPropertiesCollector.getJsonValueMethod(POJOPropertiesCollector.java:169)
at com.fasterxml.jackson.databind.introspect.BasicBeanDescription.findJsonValueMethod(BasicBeanDescription.java:223)
at com.fasterxml.jackson.databind.ser.BasicSerializerFactory.findSerializerByAnnotations(BasicSerializerFactory.java:348)
at com.fasterxml.jackson.databind.ser.BeanSerializerFactory._createSerializer2(BeanSerializerFactory.java:210)
at com.fasterxml.jackson.databind.ser.BeanSerializerFactory.createSerializer(BeanSerializerFactory.java:153)
at com.fasterxml.jackson.databind.SerializerProvider._createUntypedSerializer(SerializerProvider.java:1203)
at com.fasterxml.jackson.databind.SerializerProvider._createAndCacheUntypedSerializer(SerializerProvider.java:1157)
at com.fasterxml.jackson.databind.SerializerProvider.findValueSerializer(SerializerProvider.java:481)
at com.fasterxml.jackson.databind.SerializerProvider.findTypedValueSerializer(SerializerProvider.java:679)
at com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue(DefaultSerializerProvider.java:107)
at com.fasterxml.jackson.databind.ObjectMapper._configAndWriteValue(ObjectMapper.java:3559)
at com.fasterxml.jackson.databind.ObjectMapper.writeValueAsString(ObjectMapper.java:2927)
at org.apache.spark.rdd.RDDOperationScope.toJson(RDDOperationScope.scala:52)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:142)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:247)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:339)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3384)
at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2545)
at org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:3365)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:78)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3365)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2545)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2759)
at org.apache.spark.sql.execution.datasources.csv.TextInputCSVDataSource$.infer(CSVDataSource.scala:232)
at org.apache.spark.sql.execution.datasources.csv.CSVDataSource.inferSchema(CSVDataSource.scala:68)
at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:63)
at org.apache.spark.sql.execution.datasources.DataSource.$anonfun$getOrInferFileFormatSchema$12(DataSource.scala:183)
at scala.Option.orElse(Option.scala:289)
at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:180)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:373)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
at kir.com.tmvalidator.Validator.init(Validator.java:30)
at kir.com.tmvalidator.Home.main(Home.java:7)
18/11/12 11:16:29 INFO SparkContext: Invoking stop() from shutdown hook
18/11/12 11:16:29 INFO SparkUI: Stopped Spark web UI at http://kirmac133.domain.com:4040
18/11/12 11:16:29 INFO ContextCleaner: Cleaned accumulator 4
18/11/12 11:16:29 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
18/11/12 11:16:29 INFO MemoryStore: MemoryStore cleared
18/11/12 11:16:29 INFO BlockManager: BlockManager stopped
18/11/12 11:16:29 INFO BlockManagerMaster: BlockManagerMaster stopped
18/11/12 11:16:29 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
18/11/12 11:16:29 INFO SparkContext: Successfully stopped SparkContext
18/11/12 11:16:29 INFO ShutdownHookManager: Shutdown hook called
18/11/12 11:16:29 INFO ShutdownHookManager: Deleting directory /private/var/folders/32/7klbv5_94wbddn9kgzvbwnkr0000gn/T/spark-1bde2bb5-603d-4fae-9128-7d92f259077b









share|improve this question




















  • 1




    Can you include the stack trace?
    – shriyog
    Nov 12 '18 at 11:16










  • @shriyog - Added
    – VK321
    Nov 12 '18 at 11:21










  • Are you getting this error of above-mentioned input in csv?
    – shriyog
    Nov 12 '18 at 11:28










  • @shriyog - Yes :(
    – VK321
    Nov 12 '18 at 11:28










  • I tested the same for 2.3.0 versions, it works without issues. Checking with 2.4.0
    – shriyog
    Nov 12 '18 at 11:32














1












1








1







I am new to Spark and trying to read a CSV file using Java maven project but getting ArrayIndexOutOfBoundsException error.



Dependencies:



  <dependencies>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.12</artifactId>
<version>2.4.0</version>
</dependency>

<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.12</artifactId>
<version>2.4.0</version>
</dependency>
</dependencies>


Code:



SparkSession spark = SparkSession
.builder()
.appName("Java Spark SQL Example")
.config("spark.master", "local")
.getOrCreate();

//Read file
Dataset<Row> df = spark.read()
.format("csv")
.load("test.csv");


CSV File



name,code
A,1
B,3
C,5


Here is stacktrace



    Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
18/11/12 11:16:25 INFO SparkContext: Running Spark version 2.4.0
18/11/12 11:16:25 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/11/12 11:16:25 INFO SparkContext: Submitted application: Java Spark SQL Example
18/11/12 11:16:25 INFO SecurityManager: Changing view acls to: vkumar
18/11/12 11:16:25 INFO SecurityManager: Changing modify acls to: vkumar
18/11/12 11:16:25 INFO SecurityManager: Changing view acls groups to:
18/11/12 11:16:25 INFO SecurityManager: Changing modify acls groups to:
18/11/12 11:16:25 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(vkumar); groups with view permissions: Set(); users with modify permissions: Set(vkumar); groups with modify permissions: Set()
18/11/12 11:16:26 INFO Utils: Successfully started service 'sparkDriver' on port 54382.
18/11/12 11:16:26 INFO SparkEnv: Registering MapOutputTracker
18/11/12 11:16:26 INFO SparkEnv: Registering BlockManagerMaster
18/11/12 11:16:26 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
18/11/12 11:16:26 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
18/11/12 11:16:26 INFO DiskBlockManager: Created local directory at /private/var/folders/32/7klbv5_94wbddn9kgzvbwnkr0000gn/T/blockmgr-ddd2a79d-7fae-48e4-9658-1a8e2a8bb734
18/11/12 11:16:26 INFO MemoryStore: MemoryStore started with capacity 4.1 GB
18/11/12 11:16:26 INFO SparkEnv: Registering OutputCommitCoordinator
18/11/12 11:16:26 INFO Utils: Successfully started service 'SparkUI' on port 4040.
18/11/12 11:16:26 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://kirmac133.domain.com:4040
18/11/12 11:16:26 INFO Executor: Starting executor ID driver on host localhost
18/11/12 11:16:26 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 54383.
18/11/12 11:16:26 INFO NettyBlockTransferService: Server created on kirmac133.domain.com:54383
18/11/12 11:16:26 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
18/11/12 11:16:26 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO BlockManagerMasterEndpoint: Registering block manager kirmac133.domain.com:54383 with 4.1 GB RAM, BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO SharedState: Setting hive.metastore.warehouse.dir ('null') to the value of spark.sql.warehouse.dir ('file:/Users/vkumar/Documents/intellij/tmvalidator/spark-warehouse').
18/11/12 11:16:26 INFO SharedState: Warehouse path is 'file:/Users/vkumar/Documents/intellij/tmvalidator/spark-warehouse'.
18/11/12 11:16:27 INFO StateStoreCoordinatorRef: Registered StateStoreCoordinator endpoint
18/11/12 11:16:28 INFO FileSourceStrategy: Pruning directories with:
18/11/12 11:16:28 INFO FileSourceStrategy: Post-Scan Filters: (length(trim(value#0, None)) > 0)
18/11/12 11:16:28 INFO FileSourceStrategy: Output Data Schema: struct<value: string>
18/11/12 11:16:28 INFO FileSourceScanExec: Pushed Filters:
18/11/12 11:16:29 INFO CodeGenerator: Code generated in 130.688148 ms
Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 10582
at com.thoughtworks.paranamer.BytecodeReadingParanamer$ClassReader.accept(BytecodeReadingParanamer.java:563)
at com.thoughtworks.paranamer.BytecodeReadingParanamer$ClassReader.access$200(BytecodeReadingParanamer.java:338)
at com.thoughtworks.paranamer.BytecodeReadingParanamer.lookupParameterNames(BytecodeReadingParanamer.java:103)
at com.thoughtworks.paranamer.CachingParanamer.lookupParameterNames(CachingParanamer.java:90)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.getCtorParams(BeanIntrospector.scala:44)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$1(BeanIntrospector.scala:58)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$1$adapted(BeanIntrospector.scala:58)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:240)
at scala.collection.Iterator.foreach(Iterator.scala:937)
at scala.collection.Iterator.foreach$(Iterator.scala:937)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1425)
at scala.collection.IterableLike.foreach(IterableLike.scala:70)
at scala.collection.IterableLike.foreach$(IterableLike.scala:69)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:240)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:237)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.findConstructorParam$1(BeanIntrospector.scala:58)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$19(BeanIntrospector.scala:176)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:233)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:32)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:29)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:194)
at scala.collection.TraversableLike.map(TraversableLike.scala:233)
at scala.collection.TraversableLike.map$(TraversableLike.scala:226)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:194)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$14(BeanIntrospector.scala:170)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$14$adapted(BeanIntrospector.scala:169)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:240)
at scala.collection.immutable.List.foreach(List.scala:388)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:240)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:237)
at scala.collection.immutable.List.flatMap(List.scala:351)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.apply(BeanIntrospector.scala:169)
at com.fasterxml.jackson.module.scala.introspect.ScalaAnnotationIntrospector$._descriptorFor(ScalaAnnotationIntrospectorModule.scala:22)
at com.fasterxml.jackson.module.scala.introspect.ScalaAnnotationIntrospector$.fieldName(ScalaAnnotationIntrospectorModule.scala:30)
at com.fasterxml.jackson.module.scala.introspect.ScalaAnnotationIntrospector$.findImplicitPropertyName(ScalaAnnotationIntrospectorModule.scala:78)
at com.fasterxml.jackson.databind.introspect.AnnotationIntrospectorPair.findImplicitPropertyName(AnnotationIntrospectorPair.java:467)
at com.fasterxml.jackson.databind.introspect.POJOPropertiesCollector._addFields(POJOPropertiesCollector.java:351)
at com.fasterxml.jackson.databind.introspect.POJOPropertiesCollector.collectAll(POJOPropertiesCollector.java:283)
at com.fasterxml.jackson.databind.introspect.POJOPropertiesCollector.getJsonValueMethod(POJOPropertiesCollector.java:169)
at com.fasterxml.jackson.databind.introspect.BasicBeanDescription.findJsonValueMethod(BasicBeanDescription.java:223)
at com.fasterxml.jackson.databind.ser.BasicSerializerFactory.findSerializerByAnnotations(BasicSerializerFactory.java:348)
at com.fasterxml.jackson.databind.ser.BeanSerializerFactory._createSerializer2(BeanSerializerFactory.java:210)
at com.fasterxml.jackson.databind.ser.BeanSerializerFactory.createSerializer(BeanSerializerFactory.java:153)
at com.fasterxml.jackson.databind.SerializerProvider._createUntypedSerializer(SerializerProvider.java:1203)
at com.fasterxml.jackson.databind.SerializerProvider._createAndCacheUntypedSerializer(SerializerProvider.java:1157)
at com.fasterxml.jackson.databind.SerializerProvider.findValueSerializer(SerializerProvider.java:481)
at com.fasterxml.jackson.databind.SerializerProvider.findTypedValueSerializer(SerializerProvider.java:679)
at com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue(DefaultSerializerProvider.java:107)
at com.fasterxml.jackson.databind.ObjectMapper._configAndWriteValue(ObjectMapper.java:3559)
at com.fasterxml.jackson.databind.ObjectMapper.writeValueAsString(ObjectMapper.java:2927)
at org.apache.spark.rdd.RDDOperationScope.toJson(RDDOperationScope.scala:52)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:142)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:247)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:339)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3384)
at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2545)
at org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:3365)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:78)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3365)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2545)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2759)
at org.apache.spark.sql.execution.datasources.csv.TextInputCSVDataSource$.infer(CSVDataSource.scala:232)
at org.apache.spark.sql.execution.datasources.csv.CSVDataSource.inferSchema(CSVDataSource.scala:68)
at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:63)
at org.apache.spark.sql.execution.datasources.DataSource.$anonfun$getOrInferFileFormatSchema$12(DataSource.scala:183)
at scala.Option.orElse(Option.scala:289)
at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:180)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:373)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
at kir.com.tmvalidator.Validator.init(Validator.java:30)
at kir.com.tmvalidator.Home.main(Home.java:7)
18/11/12 11:16:29 INFO SparkContext: Invoking stop() from shutdown hook
18/11/12 11:16:29 INFO SparkUI: Stopped Spark web UI at http://kirmac133.domain.com:4040
18/11/12 11:16:29 INFO ContextCleaner: Cleaned accumulator 4
18/11/12 11:16:29 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
18/11/12 11:16:29 INFO MemoryStore: MemoryStore cleared
18/11/12 11:16:29 INFO BlockManager: BlockManager stopped
18/11/12 11:16:29 INFO BlockManagerMaster: BlockManagerMaster stopped
18/11/12 11:16:29 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
18/11/12 11:16:29 INFO SparkContext: Successfully stopped SparkContext
18/11/12 11:16:29 INFO ShutdownHookManager: Shutdown hook called
18/11/12 11:16:29 INFO ShutdownHookManager: Deleting directory /private/var/folders/32/7klbv5_94wbddn9kgzvbwnkr0000gn/T/spark-1bde2bb5-603d-4fae-9128-7d92f259077b









share|improve this question















I am new to Spark and trying to read a CSV file using Java maven project but getting ArrayIndexOutOfBoundsException error.



Dependencies:



  <dependencies>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.12</artifactId>
<version>2.4.0</version>
</dependency>

<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.12</artifactId>
<version>2.4.0</version>
</dependency>
</dependencies>


Code:



SparkSession spark = SparkSession
.builder()
.appName("Java Spark SQL Example")
.config("spark.master", "local")
.getOrCreate();

//Read file
Dataset<Row> df = spark.read()
.format("csv")
.load("test.csv");


CSV File



name,code
A,1
B,3
C,5


Here is stacktrace



    Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
18/11/12 11:16:25 INFO SparkContext: Running Spark version 2.4.0
18/11/12 11:16:25 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/11/12 11:16:25 INFO SparkContext: Submitted application: Java Spark SQL Example
18/11/12 11:16:25 INFO SecurityManager: Changing view acls to: vkumar
18/11/12 11:16:25 INFO SecurityManager: Changing modify acls to: vkumar
18/11/12 11:16:25 INFO SecurityManager: Changing view acls groups to:
18/11/12 11:16:25 INFO SecurityManager: Changing modify acls groups to:
18/11/12 11:16:25 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(vkumar); groups with view permissions: Set(); users with modify permissions: Set(vkumar); groups with modify permissions: Set()
18/11/12 11:16:26 INFO Utils: Successfully started service 'sparkDriver' on port 54382.
18/11/12 11:16:26 INFO SparkEnv: Registering MapOutputTracker
18/11/12 11:16:26 INFO SparkEnv: Registering BlockManagerMaster
18/11/12 11:16:26 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
18/11/12 11:16:26 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
18/11/12 11:16:26 INFO DiskBlockManager: Created local directory at /private/var/folders/32/7klbv5_94wbddn9kgzvbwnkr0000gn/T/blockmgr-ddd2a79d-7fae-48e4-9658-1a8e2a8bb734
18/11/12 11:16:26 INFO MemoryStore: MemoryStore started with capacity 4.1 GB
18/11/12 11:16:26 INFO SparkEnv: Registering OutputCommitCoordinator
18/11/12 11:16:26 INFO Utils: Successfully started service 'SparkUI' on port 4040.
18/11/12 11:16:26 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://kirmac133.domain.com:4040
18/11/12 11:16:26 INFO Executor: Starting executor ID driver on host localhost
18/11/12 11:16:26 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 54383.
18/11/12 11:16:26 INFO NettyBlockTransferService: Server created on kirmac133.domain.com:54383
18/11/12 11:16:26 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
18/11/12 11:16:26 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO BlockManagerMasterEndpoint: Registering block manager kirmac133.domain.com:54383 with 4.1 GB RAM, BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, kirmac133.domain.com, 54383, None)
18/11/12 11:16:26 INFO SharedState: Setting hive.metastore.warehouse.dir ('null') to the value of spark.sql.warehouse.dir ('file:/Users/vkumar/Documents/intellij/tmvalidator/spark-warehouse').
18/11/12 11:16:26 INFO SharedState: Warehouse path is 'file:/Users/vkumar/Documents/intellij/tmvalidator/spark-warehouse'.
18/11/12 11:16:27 INFO StateStoreCoordinatorRef: Registered StateStoreCoordinator endpoint
18/11/12 11:16:28 INFO FileSourceStrategy: Pruning directories with:
18/11/12 11:16:28 INFO FileSourceStrategy: Post-Scan Filters: (length(trim(value#0, None)) > 0)
18/11/12 11:16:28 INFO FileSourceStrategy: Output Data Schema: struct<value: string>
18/11/12 11:16:28 INFO FileSourceScanExec: Pushed Filters:
18/11/12 11:16:29 INFO CodeGenerator: Code generated in 130.688148 ms
Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 10582
at com.thoughtworks.paranamer.BytecodeReadingParanamer$ClassReader.accept(BytecodeReadingParanamer.java:563)
at com.thoughtworks.paranamer.BytecodeReadingParanamer$ClassReader.access$200(BytecodeReadingParanamer.java:338)
at com.thoughtworks.paranamer.BytecodeReadingParanamer.lookupParameterNames(BytecodeReadingParanamer.java:103)
at com.thoughtworks.paranamer.CachingParanamer.lookupParameterNames(CachingParanamer.java:90)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.getCtorParams(BeanIntrospector.scala:44)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$1(BeanIntrospector.scala:58)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$1$adapted(BeanIntrospector.scala:58)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:240)
at scala.collection.Iterator.foreach(Iterator.scala:937)
at scala.collection.Iterator.foreach$(Iterator.scala:937)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1425)
at scala.collection.IterableLike.foreach(IterableLike.scala:70)
at scala.collection.IterableLike.foreach$(IterableLike.scala:69)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:240)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:237)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.findConstructorParam$1(BeanIntrospector.scala:58)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$19(BeanIntrospector.scala:176)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:233)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:32)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:29)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:194)
at scala.collection.TraversableLike.map(TraversableLike.scala:233)
at scala.collection.TraversableLike.map$(TraversableLike.scala:226)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:194)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$14(BeanIntrospector.scala:170)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.$anonfun$apply$14$adapted(BeanIntrospector.scala:169)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:240)
at scala.collection.immutable.List.foreach(List.scala:388)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:240)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:237)
at scala.collection.immutable.List.flatMap(List.scala:351)
at com.fasterxml.jackson.module.scala.introspect.BeanIntrospector$.apply(BeanIntrospector.scala:169)
at com.fasterxml.jackson.module.scala.introspect.ScalaAnnotationIntrospector$._descriptorFor(ScalaAnnotationIntrospectorModule.scala:22)
at com.fasterxml.jackson.module.scala.introspect.ScalaAnnotationIntrospector$.fieldName(ScalaAnnotationIntrospectorModule.scala:30)
at com.fasterxml.jackson.module.scala.introspect.ScalaAnnotationIntrospector$.findImplicitPropertyName(ScalaAnnotationIntrospectorModule.scala:78)
at com.fasterxml.jackson.databind.introspect.AnnotationIntrospectorPair.findImplicitPropertyName(AnnotationIntrospectorPair.java:467)
at com.fasterxml.jackson.databind.introspect.POJOPropertiesCollector._addFields(POJOPropertiesCollector.java:351)
at com.fasterxml.jackson.databind.introspect.POJOPropertiesCollector.collectAll(POJOPropertiesCollector.java:283)
at com.fasterxml.jackson.databind.introspect.POJOPropertiesCollector.getJsonValueMethod(POJOPropertiesCollector.java:169)
at com.fasterxml.jackson.databind.introspect.BasicBeanDescription.findJsonValueMethod(BasicBeanDescription.java:223)
at com.fasterxml.jackson.databind.ser.BasicSerializerFactory.findSerializerByAnnotations(BasicSerializerFactory.java:348)
at com.fasterxml.jackson.databind.ser.BeanSerializerFactory._createSerializer2(BeanSerializerFactory.java:210)
at com.fasterxml.jackson.databind.ser.BeanSerializerFactory.createSerializer(BeanSerializerFactory.java:153)
at com.fasterxml.jackson.databind.SerializerProvider._createUntypedSerializer(SerializerProvider.java:1203)
at com.fasterxml.jackson.databind.SerializerProvider._createAndCacheUntypedSerializer(SerializerProvider.java:1157)
at com.fasterxml.jackson.databind.SerializerProvider.findValueSerializer(SerializerProvider.java:481)
at com.fasterxml.jackson.databind.SerializerProvider.findTypedValueSerializer(SerializerProvider.java:679)
at com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue(DefaultSerializerProvider.java:107)
at com.fasterxml.jackson.databind.ObjectMapper._configAndWriteValue(ObjectMapper.java:3559)
at com.fasterxml.jackson.databind.ObjectMapper.writeValueAsString(ObjectMapper.java:2927)
at org.apache.spark.rdd.RDDOperationScope.toJson(RDDOperationScope.scala:52)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:142)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:247)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:339)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3384)
at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2545)
at org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:3365)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:78)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3365)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2545)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2759)
at org.apache.spark.sql.execution.datasources.csv.TextInputCSVDataSource$.infer(CSVDataSource.scala:232)
at org.apache.spark.sql.execution.datasources.csv.CSVDataSource.inferSchema(CSVDataSource.scala:68)
at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:63)
at org.apache.spark.sql.execution.datasources.DataSource.$anonfun$getOrInferFileFormatSchema$12(DataSource.scala:183)
at scala.Option.orElse(Option.scala:289)
at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:180)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:373)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
at kir.com.tmvalidator.Validator.init(Validator.java:30)
at kir.com.tmvalidator.Home.main(Home.java:7)
18/11/12 11:16:29 INFO SparkContext: Invoking stop() from shutdown hook
18/11/12 11:16:29 INFO SparkUI: Stopped Spark web UI at http://kirmac133.domain.com:4040
18/11/12 11:16:29 INFO ContextCleaner: Cleaned accumulator 4
18/11/12 11:16:29 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
18/11/12 11:16:29 INFO MemoryStore: MemoryStore cleared
18/11/12 11:16:29 INFO BlockManager: BlockManager stopped
18/11/12 11:16:29 INFO BlockManagerMaster: BlockManagerMaster stopped
18/11/12 11:16:29 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
18/11/12 11:16:29 INFO SparkContext: Successfully stopped SparkContext
18/11/12 11:16:29 INFO ShutdownHookManager: Shutdown hook called
18/11/12 11:16:29 INFO ShutdownHookManager: Deleting directory /private/var/folders/32/7klbv5_94wbddn9kgzvbwnkr0000gn/T/spark-1bde2bb5-603d-4fae-9128-7d92f259077b






java apache-spark hive apache-spark-sql






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 12 '18 at 11:20

























asked Nov 12 '18 at 11:14









VK321

2,07121524




2,07121524








  • 1




    Can you include the stack trace?
    – shriyog
    Nov 12 '18 at 11:16










  • @shriyog - Added
    – VK321
    Nov 12 '18 at 11:21










  • Are you getting this error of above-mentioned input in csv?
    – shriyog
    Nov 12 '18 at 11:28










  • @shriyog - Yes :(
    – VK321
    Nov 12 '18 at 11:28










  • I tested the same for 2.3.0 versions, it works without issues. Checking with 2.4.0
    – shriyog
    Nov 12 '18 at 11:32














  • 1




    Can you include the stack trace?
    – shriyog
    Nov 12 '18 at 11:16










  • @shriyog - Added
    – VK321
    Nov 12 '18 at 11:21










  • Are you getting this error of above-mentioned input in csv?
    – shriyog
    Nov 12 '18 at 11:28










  • @shriyog - Yes :(
    – VK321
    Nov 12 '18 at 11:28










  • I tested the same for 2.3.0 versions, it works without issues. Checking with 2.4.0
    – shriyog
    Nov 12 '18 at 11:32








1




1




Can you include the stack trace?
– shriyog
Nov 12 '18 at 11:16




Can you include the stack trace?
– shriyog
Nov 12 '18 at 11:16












@shriyog - Added
– VK321
Nov 12 '18 at 11:21




@shriyog - Added
– VK321
Nov 12 '18 at 11:21












Are you getting this error of above-mentioned input in csv?
– shriyog
Nov 12 '18 at 11:28




Are you getting this error of above-mentioned input in csv?
– shriyog
Nov 12 '18 at 11:28












@shriyog - Yes :(
– VK321
Nov 12 '18 at 11:28




@shriyog - Yes :(
– VK321
Nov 12 '18 at 11:28












I tested the same for 2.3.0 versions, it works without issues. Checking with 2.4.0
– shriyog
Nov 12 '18 at 11:32




I tested the same for 2.3.0 versions, it works without issues. Checking with 2.4.0
– shriyog
Nov 12 '18 at 11:32












2 Answers
2






active

oldest

votes


















1














The paranamer version referred in Spark 2.4.0 is 2.7 which is causing the issue. Adding following dependency before the spark-core/ spark-sql solved the issue for me.



<dependency>
<groupId>com.thoughtworks.paranamer</groupId>
<artifactId>paranamer</artifactId>
<version>2.8</version>
</dependency>





share|improve this answer





























    0














    I meet the same problem, but when I tried scala, this problem solved!



    val tp = StructType(Seq(StructField("name", DataTypes.StringType), StructField("code", DataTypes.IntegerType)))



    val df = spark.read.format("csv").option("header", "true").schema(tp).load("test.csv")






    share|improve this answer





















    • yes for now its working for me on 2.3.0
      – VK321
      Nov 13 '18 at 6:15











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    2 Answers
    2






    active

    oldest

    votes








    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1














    The paranamer version referred in Spark 2.4.0 is 2.7 which is causing the issue. Adding following dependency before the spark-core/ spark-sql solved the issue for me.



    <dependency>
    <groupId>com.thoughtworks.paranamer</groupId>
    <artifactId>paranamer</artifactId>
    <version>2.8</version>
    </dependency>





    share|improve this answer


























      1














      The paranamer version referred in Spark 2.4.0 is 2.7 which is causing the issue. Adding following dependency before the spark-core/ spark-sql solved the issue for me.



      <dependency>
      <groupId>com.thoughtworks.paranamer</groupId>
      <artifactId>paranamer</artifactId>
      <version>2.8</version>
      </dependency>





      share|improve this answer
























        1












        1








        1






        The paranamer version referred in Spark 2.4.0 is 2.7 which is causing the issue. Adding following dependency before the spark-core/ spark-sql solved the issue for me.



        <dependency>
        <groupId>com.thoughtworks.paranamer</groupId>
        <artifactId>paranamer</artifactId>
        <version>2.8</version>
        </dependency>





        share|improve this answer












        The paranamer version referred in Spark 2.4.0 is 2.7 which is causing the issue. Adding following dependency before the spark-core/ spark-sql solved the issue for me.



        <dependency>
        <groupId>com.thoughtworks.paranamer</groupId>
        <artifactId>paranamer</artifactId>
        <version>2.8</version>
        </dependency>






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 20 '18 at 4:24









        Shasankar

        18719




        18719

























            0














            I meet the same problem, but when I tried scala, this problem solved!



            val tp = StructType(Seq(StructField("name", DataTypes.StringType), StructField("code", DataTypes.IntegerType)))



            val df = spark.read.format("csv").option("header", "true").schema(tp).load("test.csv")






            share|improve this answer





















            • yes for now its working for me on 2.3.0
              – VK321
              Nov 13 '18 at 6:15
















            0














            I meet the same problem, but when I tried scala, this problem solved!



            val tp = StructType(Seq(StructField("name", DataTypes.StringType), StructField("code", DataTypes.IntegerType)))



            val df = spark.read.format("csv").option("header", "true").schema(tp).load("test.csv")






            share|improve this answer





















            • yes for now its working for me on 2.3.0
              – VK321
              Nov 13 '18 at 6:15














            0












            0








            0






            I meet the same problem, but when I tried scala, this problem solved!



            val tp = StructType(Seq(StructField("name", DataTypes.StringType), StructField("code", DataTypes.IntegerType)))



            val df = spark.read.format("csv").option("header", "true").schema(tp).load("test.csv")






            share|improve this answer












            I meet the same problem, but when I tried scala, this problem solved!



            val tp = StructType(Seq(StructField("name", DataTypes.StringType), StructField("code", DataTypes.IntegerType)))



            val df = spark.read.format("csv").option("header", "true").schema(tp).load("test.csv")







            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Nov 13 '18 at 6:14









            LiJianing

            373




            373












            • yes for now its working for me on 2.3.0
              – VK321
              Nov 13 '18 at 6:15


















            • yes for now its working for me on 2.3.0
              – VK321
              Nov 13 '18 at 6:15
















            yes for now its working for me on 2.3.0
            – VK321
            Nov 13 '18 at 6:15




            yes for now its working for me on 2.3.0
            – VK321
            Nov 13 '18 at 6:15


















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