Can you encapsulate your map function such that it returns data type other
than Get ?
You can perform query to hbase but don't return Get.
Cheers
On Fri, Jan 15, 2016 at 6:46 AM, beeshma r <beeshm...@gmail.com> wrote:
> Hi Ted ,
>
> Any suggestions for changing this piece of code?
>
> public static JavaRDD<Get> getdocs(JavaRDD<
> SolrDocumentList> li)
> {
>
> JavaRDD<SolrDocumentList> newdocs=li;
>
> JavaRDD<Get> n=newdocs.map(new Function<SolrDocumentList,Get>(){
>
> public Get call(SolrDocumentList si) throws IOException
> {
> Get get = null;
>
> for (SolrDocument doc : si) {
> get = new Get(Bytes.toBytes(((String)
> doc.getFieldValue("id"))));
>
> }
>
> return get;
>
> }
>
>
> }
>
>
>
> On Fri, Jan 15, 2016 at 6:40 AM, Ted Yu <yuzhih...@gmail.com> wrote:
>
>> Here is signature for Get:
>>
>> public class Get extends Query
>>
>> implements Row, Comparable<Row> {
>>
>> It is not Serializable.
>>
>>
>> FYI
>>
>> On Fri, Jan 15, 2016 at 6:37 AM, beeshma r <beeshm...@gmail.com> wrote:
>>
>>> HI i am trying to get data from Solr server .
>>>
>>> This is my code
>>>
>>> /*input is JavaRDD<SolrDocumentList> li
>>> *output is JavaRDD<Get> for scanning Hbase*/
>>>
>>>
>>> public static JavaRDD<Get> getdocs(JavaRDD<SolrDocumentList> li)
>>> {
>>>
>>> JavaRDD<SolrDocumentList> newdocs=li;
>>>
>>> JavaRDD<Get> n=newdocs.map(new Function<SolrDocumentList,Get>(){
>>>
>>> public Get call(SolrDocumentList si) throws IOException
>>> {
>>> Get get = null;
>>>
>>> for (SolrDocument doc : si) {
>>> get = new Get(Bytes.toBytes(((String)
>>> doc.getFieldValue("id"))));
>>>
>>> }
>>>
>>> return get;
>>>
>>> }
>>>
>>>
>>> }
>>>
>>>
>>> issue am getting below error
>>>
>>> 16/01/15 06:05:55 INFO TaskSetManager: Starting task 0.0 in stage 0.0
>>> (TID 0, localhost, PROCESS_LOCAL, 2815 bytes)
>>> 16/01/15 06:05:55 INFO Executor: Running task 0.0 in stage 0.0 (TID 0)
>>> 16/01/15 06:05:55 INFO HttpClientUtil: Creating new http client,
>>> config:maxConnections=128&maxConnectionsPerHost=32&followRedirects=false
>>> 16/01/15 06:05:56 INFO HttpClientUtil: Creating new http client,
>>> config:maxConnections=128&maxConnectionsPerHost=32&followRedirects=false
>>> 16/01/15 06:05:56 INFO HttpClientUtil: Creating new http client,
>>> config:maxConnections=128&maxConnectionsPerHost=32&followRedirects=false
>>> 16/01/15 06:05:56 INFO HttpClientUtil: Creating new http client,
>>> config:maxConnections=128&maxConnectionsPerHost=32&followRedirects=false
>>> 16/01/15 06:05:56 INFO HttpClientUtil: Creating new http client,
>>> config:maxConnections=128&maxConnectionsPerHost=32&followRedirects=false
>>> 16/01/15 06:05:56 INFO HttpClientUtil: Creating new http client,
>>> config:maxConnections=128&maxConnectionsPerHost=32&followRedirects=false
>>> 16/01/15 06:05:57 ERROR Executor: Exception in task 0.0 in stage 0.0
>>> (TID 0)
>>>
>>>
>>>
>>> *java.io.NotSerializableException:
>>> org.apache.hadoop.hbase.client.GetSerialization stack: - object not
>>> serializable (class: org.apache.hadoop.hbase.client.Get, value:
>>> {"timeRange":[0,9223372036854775807],"totalColumns":0,"cacheBlocks":true,"families":{},"maxVersions":1,"row":"row47777"})
>>> - element of array (index: 0)*
>>> - array (class [Ljava.lang.Object;, size 6)
>>> at
>>> org.apache.spark.serializer.SerializationDebugger$.improveException(SerializationDebugger.scala:40)
>>> at
>>> org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:47)
>>> at
>>> org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:84)
>>> at
>>> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:240)
>>> at
>>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>>> at
>>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>>> at java.lang.Thread.run(Thread.java:724)
>>> 16/01/15 06:05:57 ERROR TaskSetManager: Task 0.0 in stage 0.0 (TID 0)
>>> had a not serializable result: org.apache.hadoop.hbase.client.Get
>>> Serialization stack:
>>> - object not serializable (class:
>>> org.apache.hadoop.hbase.client.Get, value:
>>> {"timeRange":[0,9223372036854775807],"totalColumns":0,"cacheBlocks":true,"families":{},"maxVersions":1,"row":"row47777"})
>>> - element of array (index: 0)
>>> - array (class [Ljava.lang.Object;, size 6); not retrying
>>> 16/01/15 06:05:57 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose
>>> tasks have all completed, from pool
>>> 16/01/15 06:05:57 INFO TaskSchedulerImpl: Cancelling stage 0
>>> 16/01/15 06:05:57 INFO DAGScheduler: ResultStage 0 (collect at
>>> App.java:278) failed in 2.481 s
>>> 16/01/15 06:05:57 INFO DAGScheduler: Job 0 failed: collect at
>>> App.java:278, took 3.378240 s
>>> [WARNING]
>>> java.lang.reflect.InvocationTargetException
>>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>>> at
>>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>>> at
>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>>> at java.lang.reflect.Method.invoke(Method.java:606)
>>> at org.codehaus.mojo.exec.ExecJavaMojo$1.run(ExecJavaMojo.java:293)
>>> at java.lang.Thread.run(Thread.java:724)
>>> Caused by: org.apache.spark.SparkException: Job aborted due to stage
>>> failure: Task 0.0 in stage 0.0 (TID 0) had a not serializable result:
>>> org.apache.hadoop.hbase.client.Get
>>> Serialization stack:
>>> - object not serializable (class:
>>> org.apache.hadoop.hbase.client.Get, value:
>>> {"timeRange":[0,9223372036854775807],"totalColumns":0,"cacheBlocks":true,"families":{},"maxVersions":1,"row":"row47777"})
>>> - element of array (index: 0)
>>> - array (class [Ljava.lang.Object;, size 6)
>>> at org.apache.spark.scheduler.DAGScheduler.org
>>> $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270)
>>> at
>>> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>>> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
>>> at scala.Option.foreach(Option.scala:236)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
>>> at
>>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
>>> at
>>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
>>> at
>>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
>>> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
>>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824)
>>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837)
>>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1850)
>>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1921)
>>> at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:909)
>>> at
>>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
>>> at
>>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
>>> at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
>>> at org.apache.spark.rdd.RDD.collect(RDD.scala:908)
>>> at
>>> org.apache.spark.api.java.JavaRDDLike$class.collect(JavaRDDLike.scala:338)
>>> at
>>> org.apache.spark.api.java.AbstractJavaRDDLike.collect(JavaRDDLike.scala:47)
>>> at com.hbaseresult.test.App.last(App.java:278)
>>> at com.hbaseresult.test.App.main(App.java:327)
>>> ... 6 more
>>>
>>>
>>>
>>> So where do am missing?
>>>
>>
>>
>
>
> --
>
>
>
>
>
>
