Hi Sean,
I removed the hadoop dependencies from the app and ran it on the cluster.
It gives a java.io.EOFException
15/01/07 11:19:29 INFO MemoryStore: ensureFreeSpace(177166) called with
curMem=0, maxMem=2004174766
15/01/07 11:19:29 INFO MemoryStore: Block broadcast_0 stored as values in
memory (estimated size 173.0 KB, free 1911.2 MB)
15/01/07 11:19:29 INFO MemoryStore: ensureFreeSpace(25502) called with
curMem=177166, maxMem=2004174766
15/01/07 11:19:29 INFO MemoryStore: Block broadcast_0_piece0 stored as
bytes in memory (estimated size 24.9 KB, free 1911.1 MB)
15/01/07 11:19:29 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory
on 10.100.5.109:43924 (size: 24.9 KB, free: 1911.3 MB)
15/01/07 11:19:29 INFO BlockManagerMaster: Updated info of block
broadcast_0_piece0
15/01/07 11:19:29 INFO SparkContext: Created broadcast 0 from hadoopFile at
AvroRelation.scala:45
15/01/07 11:19:29 INFO FileInputFormat: Total input paths to process : 1
15/01/07 11:19:29 INFO SparkContext: Starting job: collect at
SparkPlan.scala:84
15/01/07 11:19:29 INFO DAGScheduler: Got job 0 (collect at
SparkPlan.scala:84) with 2 output partitions (allowLocal=false)
15/01/07 11:19:29 INFO DAGScheduler: Final stage: Stage 0(collect at
SparkPlan.scala:84)
15/01/07 11:19:29 INFO DAGScheduler: Parents of final stage: List()
15/01/07 11:19:29 INFO DAGScheduler: Missing parents: List()
15/01/07 11:19:29 INFO DAGScheduler: Submitting Stage 0 (MappedRDD[6] at
map at SparkPlan.scala:84), which has no missing parents
15/01/07 11:19:29 INFO MemoryStore: ensureFreeSpace(4864) called with
curMem=202668, maxMem=2004174766
15/01/07 11:19:29 INFO MemoryStore: Block broadcast_1 stored as values in
memory (estimated size 4.8 KB, free 1911.1 MB)
15/01/07 11:19:29 INFO MemoryStore: ensureFreeSpace(3481) called with
curMem=207532, maxMem=2004174766
15/01/07 11:19:29 INFO MemoryStore: Block broadcast_1_piece0 stored as
bytes in memory (estimated size 3.4 KB, free 1911.1 MB)
15/01/07 11:19:29 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory
on 10.100.5.109:43924 (size: 3.4 KB, free: 1911.3 MB)
15/01/07 11:19:29 INFO BlockManagerMaster: Updated info of block
broadcast_1_piece0
15/01/07 11:19:29 INFO SparkContext: Created broadcast 1 from broadcast at
DAGScheduler.scala:838
15/01/07 11:19:29 INFO DAGScheduler: Submitting 2 missing tasks from Stage
0 (MappedRDD[6] at map at SparkPlan.scala:84)
15/01/07 11:19:29 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 tasks
15/01/07 11:19:29 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID
0, 10.100.5.109, PROCESS_LOCAL, 1340 bytes)
15/01/07 11:19:29 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID
1, 10.100.5.109, PROCESS_LOCAL, 1340 bytes)
15/01/07 11:19:29 WARN TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1,
10.100.5.109): java.io.EOFException
at
java.io.ObjectInputStream$BlockDataInputStream.readFully(ObjectInputStream.java:2722)
at java.io.ObjectInputStream.readFully(ObjectInputStream.java:1009)
at
org.apache.hadoop.io.DataOutputBuffer$Buffer.write(DataOutputBuffer.java:63)
at
org.apache.hadoop.io.DataOutputBuffer.write(DataOutputBuffer.java:101)
at org.apache.hadoop.io.UTF8.readChars(UTF8.java:216)
at org.apache.hadoop.io.UTF8.readString(UTF8.java:208)
at org.apache.hadoop.mapred.FileSplit.readFields(FileSplit.java:87)
at
org.apache.hadoop.io.ObjectWritable.readObject(ObjectWritable.java:237)
at
org.apache.hadoop.io.ObjectWritable.readFields(ObjectWritable.java:66)
at
org.apache.spark.SerializableWritable$$anonfun$readObject$1.apply$mcV$sp(SerializableWritable.scala:43)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:985)
at
org.apache.spark.SerializableWritable.readObject(SerializableWritable.scala:39)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at
java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:969)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1871)
at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1775)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)
at
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1969)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1775)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)
at
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1969)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1775)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1327)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:349)
at
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62)
at
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:87)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
at
java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:895)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:918)
at java.lang.Thread.run(Thread.java:662)
I'm running the program using IDE. Not using spark-submit. Can we not
submit an app straight from the IDE to the spark cluster?
Cheers
On Tue, Jan 6, 2015 at 3:53 PM, Sean Owen <so...@cloudera.com> wrote:
> Oh, are you actually bundling Hadoop in your app? that may be the problem.
> If you're using stand-alone mode, why include Hadoop? In any event, Spark
> and Hadoop are intended to be 'provided' dependencies in the app you send
> to spark-submit.
>
> On Tue, Jan 6, 2015 at 10:15 AM, Niranda Perera <niranda.per...@gmail.com>
> wrote:
>
>> Hi Sean,
>>
>> My mistake, Guava 11 dependency came from the hadoop-commons indeed.
>>
>> I'm running the following simple app in spark 1.2.0 standalone local
>> cluster (2 workers) with Hadoop 1.2.1
>>
>> public class AvroSparkTest {
>> public static void main(String[] args) throws Exception {
>> SparkConf sparkConf = new SparkConf()
>> .setMaster("spark://niranda-ThinkPad-T540p:7077")
>> //("local[2]")
>> .setAppName("avro-spark-test");
>>
>> JavaSparkContext sparkContext = new JavaSparkContext(sparkConf);
>> JavaSQLContext sqlContext = new JavaSQLContext(sparkContext);
>> JavaSchemaRDD episodes = AvroUtils.avroFile(sqlContext,
>>
>> "/home/niranda/projects/avro-spark-test/src/test/resources/episodes.avro");
>> episodes.printSchema();
>> episodes.registerTempTable("avroTable");
>> List<Row> result = sqlContext.sql("SELECT * FROM
>> avroTable").collect();
>>
>> for (Row row : result) {
>> System.out.println(row.toString());
>> }
>> }
>> }
>>
>> As you pointed out, this error occurs while adding the hadoop dependency.
>> this runs without a problem when the hadoop dependency is removed and the
>> master is set to local[].
>>
>> Cheers
>>
>> On Tue, Jan 6, 2015 at 3:23 PM, Sean Owen <so...@cloudera.com> wrote:
>>
>>> -dev
>>>
>>> Guava was not downgraded to 11. That PR was not merged. It was part of a
>>> discussion about, indeed, what to do about potential Guava version
>>> conflicts. Spark uses Guava, but so does Hadoop, and so do user programs.
>>>
>>> Spark uses 14.0.1 in fact:
>>> https://github.com/apache/spark/blob/master/pom.xml#L330
>>>
>>> This is a symptom of conflict between Spark's Guava 14 and Hadoop's
>>> Guava 11. See for example
>>> https://issues.apache.org/jira/browse/HIVE-7387 as well.
>>>
>>> Guava is now shaded in Spark as of 1.2.0 (and 1.1.x?), so I would think
>>> a lot of these problems are solved. As we've seen though, this one is
>>> tricky.
>>>
>>> What's your Spark version? and what are you executing? what mode --
>>> standalone, YARN? What Hadoop version?
>>>
>>>
>>> On Tue, Jan 6, 2015 at 8:38 AM, Niranda Perera <niranda.per...@gmail.com
>>> > wrote:
>>>
>>>> Hi,
>>>>
>>>> I have been running a simple Spark app on a local spark cluster and I
>>>> came across this error.
>>>>
>>>> Exception in thread "main" java.lang.NoSuchMethodError:
>>>> com.google.common.hash.HashFunction.hashInt(I)Lcom/google/common/hash/HashCode;
>>>> at org.apache.spark.util.collection.OpenHashSet.org
>>>> $apache$spark$util$collection$OpenHashSet$$hashcode(OpenHashSet.scala:261)
>>>> at
>>>> org.apache.spark.util.collection.OpenHashSet$mcI$sp.getPos$mcI$sp(OpenHashSet.scala:165)
>>>> at
>>>> org.apache.spark.util.collection.OpenHashSet$mcI$sp.contains$mcI$sp(OpenHashSet.scala:102)
>>>> at
>>>> org.apache.spark.util.SizeEstimator$$anonfun$visitArray$2.apply$mcVI$sp(SizeEstimator.scala:214)
>>>> at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141)
>>>> at
>>>> org.apache.spark.util.SizeEstimator$.visitArray(SizeEstimator.scala:210)
>>>> at
>>>> org.apache.spark.util.SizeEstimator$.visitSingleObject(SizeEstimator.scala:169)
>>>> at
>>>> org.apache.spark.util.SizeEstimator$.org$apache$spark$util$SizeEstimator$$estimate(SizeEstimator.scala:161)
>>>> at
>>>> org.apache.spark.util.SizeEstimator$.estimate(SizeEstimator.scala:155)
>>>> at
>>>> org.apache.spark.util.collection.SizeTracker$class.takeSample(SizeTracker.scala:78)
>>>> at
>>>> org.apache.spark.util.collection.SizeTracker$class.afterUpdate(SizeTracker.scala:70)
>>>> at
>>>> org.apache.spark.util.collection.SizeTrackingVector.$plus$eq(SizeTrackingVector.scala:31)
>>>> at
>>>> org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:249)
>>>> at
>>>> org.apache.spark.storage.MemoryStore.putIterator(MemoryStore.scala:136)
>>>> at
>>>> org.apache.spark.storage.MemoryStore.putIterator(MemoryStore.scala:114)
>>>> at
>>>> org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:787)
>>>> at
>>>> org.apache.spark.storage.BlockManager.putIterator(BlockManager.scala:638)
>>>> at
>>>> org.apache.spark.storage.BlockManager.putSingle(BlockManager.scala:992)
>>>> at
>>>> org.apache.spark.broadcast.TorrentBroadcast.writeBlocks(TorrentBroadcast.scala:98)
>>>> at
>>>> org.apache.spark.broadcast.TorrentBroadcast.<init>(TorrentBroadcast.scala:84)
>>>> at
>>>> org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:34)
>>>> at
>>>> org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:29)
>>>> at
>>>> org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:62)
>>>> at org.apache.spark.SparkContext.broadcast(SparkContext.scala:945)
>>>> at org.apache.spark.SparkContext.hadoopFile(SparkContext.scala:695)
>>>> at
>>>> com.databricks.spark.avro.AvroRelation.buildScan$lzycompute(AvroRelation.scala:45)
>>>> at
>>>> com.databricks.spark.avro.AvroRelation.buildScan(AvroRelation.scala:44)
>>>> at
>>>> org.apache.spark.sql.sources.DataSourceStrategy$.apply(DataSourceStrategy.scala:56)
>>>> at
>>>> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
>>>> at
>>>> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
>>>> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
>>>> at
>>>> org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
>>>> at
>>>> org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:418)
>>>> at
>>>> org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:416)
>>>> at
>>>> org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:422)
>>>> at
>>>> org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:422)
>>>> at org.apache.spark.sql.SchemaRDD.collect(SchemaRDD.scala:444)
>>>> at
>>>> org.apache.spark.sql.api.java.JavaSchemaRDD.collect(JavaSchemaRDD.scala:114)
>>>>
>>>>
>>>> While looking into this I found out that Guava was downgraded to
>>>> version 11 in this PR.
>>>> https://github.com/apache/spark/pull/1610
>>>>
>>>> In this PR OpenHashSet.scala:261 line hashInt has been changed to
>>>> hashLong.
>>>> But when I actually run my app, "java.lang.NoSuchMethodError:
>>>> com.google.common.hash.HashFunction.hashInt" error occurs,
>>>> which is understandable because hashInt is not available before Guava
>>>> 12.
>>>>
>>>> So, I''m wondering why this occurs?
>>>>
>>>> Cheers
>>>> --
>>>> Niranda Perera
>>>>
>>>>
>>>
>>
>>
>> --
>> Niranda
>>
>
>
--
Niranda
