org.apache.cassandra.hadoop.ColumnFamilySplit Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of cassandra-all Show documentation
Show all versions of cassandra-all Show documentation
Palantir open source project
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.cassandra.hadoop;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapreduce.InputSplit;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.EOFException;
import java.io.IOException;
import java.util.Arrays;
public class ColumnFamilySplit extends InputSplit implements Writable, org.apache.hadoop.mapred.InputSplit
{
private String startToken;
private String endToken;
private long length;
private String[] dataNodes;
@Deprecated
public ColumnFamilySplit(String startToken, String endToken, String[] dataNodes)
{
this(startToken, endToken, Long.MAX_VALUE, dataNodes);
}
public ColumnFamilySplit(String startToken, String endToken, long length, String[] dataNodes)
{
assert startToken != null;
assert endToken != null;
this.startToken = startToken;
this.endToken = endToken;
this.length = length;
this.dataNodes = dataNodes;
}
public String getStartToken()
{
return startToken;
}
public String getEndToken()
{
return endToken;
}
// getLength and getLocations satisfy the InputSplit abstraction
public long getLength()
{
return length;
}
public String[] getLocations()
{
return dataNodes;
}
// This should only be used by KeyspaceSplit.read();
protected ColumnFamilySplit() {}
// These three methods are for serializing and deserializing
// KeyspaceSplits as needed by the Writable interface.
public void write(DataOutput out) throws IOException
{
out.writeUTF(startToken);
out.writeUTF(endToken);
out.writeInt(dataNodes.length);
for (String endpoint : dataNodes)
{
out.writeUTF(endpoint);
}
out.writeLong(length);
}
public void readFields(DataInput in) throws IOException
{
startToken = in.readUTF();
endToken = in.readUTF();
int numOfEndpoints = in.readInt();
dataNodes = new String[numOfEndpoints];
for(int i = 0; i < numOfEndpoints; i++)
{
dataNodes[i] = in.readUTF();
}
try
{
length = in.readLong();
}
catch (EOFException e)
{
//We must be deserializing in a mixed-version cluster.
}
}
@Override
public String toString()
{
return "ColumnFamilySplit(" +
"(" + startToken
+ ", '" + endToken + ']'
+ " @" + (dataNodes == null ? null : Arrays.asList(dataNodes)) + ')';
}
public static ColumnFamilySplit read(DataInput in) throws IOException
{
ColumnFamilySplit w = new ColumnFamilySplit();
w.readFields(in);
return w;
}
}