Let config.json
be a small json file :
{
"toto": 1
}
I made a simple code that read the json file with sc.textFile
(because the file can be on S3, local or HDFS, so textFile is convenient)
import org.apache.spark.{SparkContext, SparkConf}
object testAwsSdk {
def main( args:Array[String] ):Unit = {
val sparkConf = new SparkConf().setAppName("test-aws-sdk").setMaster("local[*]")
val sc = new SparkContext(sparkConf)
val json = sc.textFile("config.json")
println(json.collect().mkString("\n"))
}
}
The SBT file pull only spark-core
library
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-core" % "1.5.1" % "compile"
)
the program works as expected, writing the content of config.json on standard output.
Now I want to link also with aws-java-sdk, amazon's sdk to access S3.
libraryDependencies ++= Seq(
"com.amazonaws" % "aws-java-sdk" % "1.10.30" % "compile",
"org.apache.spark" %% "spark-core" % "1.5.1" % "compile"
)
Executing the same code, spark throws the following Exception.
Exception in thread "main" com.fasterxml.jackson.databind.JsonMappingException: Could not find creator property with name 'id' (in class org.apache.spark.rdd.RDDOperationScope)
at [Source: {"id":"0","name":"textFile"}; line: 1, column: 1]
at com.fasterxml.jackson.databind.JsonMappingException.from(JsonMappingException.java:148)
at com.fasterxml.jackson.databind.DeserializationContext.mappingException(DeserializationContext.java:843)
at com.fasterxml.jackson.databind.deser.BeanDeserializerFactory.addBeanProps(BeanDeserializerFactory.java:533)
at com.fasterxml.jackson.databind.deser.BeanDeserializerFactory.buildBeanDeserializer(BeanDeserializerFactory.java:220)
at com.fasterxml.jackson.databind.deser.BeanDeserializerFactory.createBeanDeserializer(BeanDeserializerFactory.java:143)
at com.fasterxml.jackson.databind.deser.DeserializerCache._createDeserializer2(DeserializerCache.java:409)
at com.fasterxml.jackson.databind.deser.DeserializerCache._createDeserializer(DeserializerCache.java:358)
at com.fasterxml.jackson.databind.deser.DeserializerCache._createAndCache2(DeserializerCache.java:265)
at com.fasterxml.jackson.databind.deser.DeserializerCache._createAndCacheValueDeserializer(DeserializerCache.java:245)
at com.fasterxml.jackson.databind.deser.DeserializerCache.findValueDeserializer(DeserializerCache.java:143)
at com.fasterxml.jackson.databind.DeserializationContext.findRootValueDeserializer(DeserializationContext.java:439)
at com.fasterxml.jackson.databind.ObjectMapper._findRootDeserializer(ObjectMapper.java:3666)
at com.fasterxml.jackson.databind.ObjectMapper._readMapAndClose(ObjectMapper.java:3558)
at com.fasterxml.jackson.databind.ObjectMapper.readValue(ObjectMapper.java:2578)
at org.apache.spark.rdd.RDDOperationScope$.fromJson(RDDOperationScope.scala:82)
at org.apache.spark.rdd.RDDOperationScope$$anonfun$5.apply(RDDOperationScope.scala:133)
at org.apache.spark.rdd.RDDOperationScope$$anonfun$5.apply(RDDOperationScope.scala:133)
at scala.Option.map(Option.scala:145)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:133)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.SparkContext.withScope(SparkContext.scala:709)
at org.apache.spark.SparkContext.hadoopFile(SparkContext.scala:1012)
at org.apache.spark.SparkContext$$anonfun$textFile$1.apply(SparkContext.scala:827)
at org.apache.spark.SparkContext$$anonfun$textFile$1.apply(SparkContext.scala:825)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.SparkContext.withScope(SparkContext.scala:709)
at org.apache.spark.SparkContext.textFile(SparkContext.scala:825)
at testAwsSdk$.main(testAwsSdk.scala:11)
at testAwsSdk.main(testAwsSdk.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:497)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140)
Reading the stack, it seems that when aws-java-sdk is linked, sc.textFile
detects that the file is a json file and try to parse it with jackson assuming a certain format, which it cannot find of course. I need to link with aws-java-sdk, so my questions are:
1- Why adding aws-java-sdk
modifies the behavior of spark-core
?
2- Is there a work-around (the file can be on HDFS, S3 or local)?