org.apache.cassandra.hadoop
Class ColumnFamilyInputFormat

java.lang.Object
  org.apache.hadoop.mapreduce.InputFormat<java.nio.ByteBuffer,java.util.SortedMap<java.nio.ByteBuffer,IColumn>>
      org.apache.cassandra.hadoop.ColumnFamilyInputFormat

All Implemented Interfaces:

org.apache.hadoop.mapred.InputFormat<java.nio.ByteBuffer,java.util.SortedMap<java.nio.ByteBuffer,IColumn>>

public class ColumnFamilyInputFormat
extends org.apache.hadoop.mapreduce.InputFormat<java.nio.ByteBuffer,java.util.SortedMap<java.nio.ByteBuffer,IColumn>>
implements org.apache.hadoop.mapred.InputFormat<java.nio.ByteBuffer,java.util.SortedMap<java.nio.ByteBuffer,IColumn>>

Hadoop InputFormat allowing map/reduce against Cassandra rows within one ColumnFamily. At minimum, you need to set the CF and predicate (description of columns to extract from each row) in your Hadoop job Configuration. The ConfigHelper class is provided to make this simple: ConfigHelper.setInputColumnFamily ConfigHelper.setInputSlicePredicate You can also configure the number of rows per InputSplit with ConfigHelper.setInputSplitSize This should be "as big as possible, but no bigger." Each InputSplit is read from Cassandra with multiple get_slice_range queries, and the per-call overhead of get_slice_range is high, so larger split sizes are better -- but if it is too large, you will run out of memory. The default split size is 64k rows.

Field Summary

static java.lang.String	CASSANDRA_HADOOP_MAX_KEY_SIZE
static int	CASSANDRA_HADOOP_MAX_KEY_SIZE_DEFAULT
static java.lang.String	MAPRED_TASK_ID

Constructor Summary

ColumnFamilyInputFormat()

Method Summary

org.apache.hadoop.mapreduce.RecordReader<java.nio.ByteBuffer,java.util.SortedMap<java.nio.ByteBuffer,IColumn>>	createRecordReader(org.apache.hadoop.mapreduce.InputSplit inputSplit, org.apache.hadoop.mapreduce.TaskAttemptContext taskAttemptContext)
org.apache.hadoop.mapred.RecordReader<java.nio.ByteBuffer,java.util.SortedMap<java.nio.ByteBuffer,IColumn>>	getRecordReader(org.apache.hadoop.mapred.InputSplit split, org.apache.hadoop.mapred.JobConf jobConf, org.apache.hadoop.mapred.Reporter reporter)
org.apache.hadoop.mapred.InputSplit[]	getSplits(org.apache.hadoop.mapred.JobConf jobConf, int numSplits)
java.util.List<org.apache.hadoop.mapreduce.InputSplit>	getSplits(org.apache.hadoop.mapreduce.JobContext context)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

MAPRED_TASK_ID

public static final java.lang.String MAPRED_TASK_ID

See Also:

Constant Field Values

CASSANDRA_HADOOP_MAX_KEY_SIZE

public static final java.lang.String CASSANDRA_HADOOP_MAX_KEY_SIZE

See Also:

Constant Field Values

CASSANDRA_HADOOP_MAX_KEY_SIZE_DEFAULT

public static final int CASSANDRA_HADOOP_MAX_KEY_SIZE_DEFAULT

See Also:

Constant Field Values

Constructor Detail

ColumnFamilyInputFormat

public ColumnFamilyInputFormat()

Method Detail

getSplits

public java.util.List<org.apache.hadoop.mapreduce.InputSplit> getSplits(org.apache.hadoop.mapreduce.JobContext context)
                                                                 throws java.io.IOException

Specified by:

getSplits in class org.apache.hadoop.mapreduce.InputFormat<java.nio.ByteBuffer,java.util.SortedMap<java.nio.ByteBuffer,IColumn>>

Throws:

java.io.IOException

createRecordReader

public org.apache.hadoop.mapreduce.RecordReader<java.nio.ByteBuffer,java.util.SortedMap<java.nio.ByteBuffer,IColumn>> createRecordReader(org.apache.hadoop.mapreduce.InputSplit inputSplit,
                                                                                                                                         org.apache.hadoop.mapreduce.TaskAttemptContext taskAttemptContext)
                                                                                                                                  throws java.io.IOException,
                                                                                                                                         java.lang.InterruptedException

Specified by:

createRecordReader in class org.apache.hadoop.mapreduce.InputFormat<java.nio.ByteBuffer,java.util.SortedMap<java.nio.ByteBuffer,IColumn>>

Throws:

java.io.IOException

java.lang.InterruptedException

getSplits

public org.apache.hadoop.mapred.InputSplit[] getSplits(org.apache.hadoop.mapred.JobConf jobConf,
                                                       int numSplits)
                                                throws java.io.IOException

Specified by:

getSplits in interface org.apache.hadoop.mapred.InputFormat<java.nio.ByteBuffer,java.util.SortedMap<java.nio.ByteBuffer,IColumn>>

Throws:

java.io.IOException

getRecordReader

public org.apache.hadoop.mapred.RecordReader<java.nio.ByteBuffer,java.util.SortedMap<java.nio.ByteBuffer,IColumn>> getRecordReader(org.apache.hadoop.mapred.InputSplit split,
                                                                                                                                   org.apache.hadoop.mapred.JobConf jobConf,
                                                                                                                                   org.apache.hadoop.mapred.Reporter reporter)
                                                                                                                            throws java.io.IOException

Specified by:

getRecordReader in interface org.apache.hadoop.mapred.InputFormat<java.nio.ByteBuffer,java.util.SortedMap<java.nio.ByteBuffer,IColumn>>

Throws:

java.io.IOException