Hi,
I run Cassandra 0.8.2 and hadoop 0.20.2 on three nodes, each node includes a
Cassandra instance and a hadoop data node.
I created a simple hadoop job to scan a Cassandra column value in a column
family and write it to a file system if it meets some conditions.
I keep getting the following timeout exceptions. Is this caused by my
settings in Cassandra? Or how could I change the timeout value on the
Cassandra Hadoop API to get around this problem?
11/07/28 12:02:47 INFO mapred.JobClient: Task Id :
attempt_201107281151_0001_m_000052_0, Status : FAILED
java.lang.RuntimeException: TimedOutException()
at
org.apache.cassandra.hadoop.ColumnFamilyRecordReader$RowIterator.maybeInit(ColumnFamilyRecordReader.java:265)
at
org.apache.cassandra.hadoop.ColumnFamilyRecordReader$RowIterator.computeNext(ColumnFamilyRecordReader.java:279)
at
org.apache.cassandra.hadoop.ColumnFamilyRecordReader$RowIterator.computeNext(ColumnFamilyRecordReader.java:177)
at
com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:140)
at
com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:135)
at
org.apache.cassandra.hadoop.ColumnFamilyRecordReader.nextKeyValue(ColumnFamilyRecordReader.java:136)
at
org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.nextKeyValue(MapTask.java:423)
at
org.apache.hadoop.mapreduce.MapContext.nextKeyValue(MapContext.java:67)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:143)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:621)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:305)
at org.apache.hadoop.mapred.Child.main(Child.java:170)
Caused by: TimedOutException()
at
org.apache.cassandra.thrift.Cassandra$get_range_slices_result.read(Cassandra.java:12590)
at
org.apache.cassandra.thrift.Cassandra$Client.recv_get_range_slices(Cassandra.java:762)
at
org.apache.cassandra.thrift.Cassandra$Client.get_range_slices(Cassandra.java:734)
at
org.apache.cassandra.hadoop.ColumnFamilyRecordReader$RowIterator.maybeInit(ColumnFamilyRecordReader.java:243)
... 11 more
Thanks in advance,
John
