blob: 6c717c2773d98b978b86b38d4f7d3aa4b05979b9 [file] [log] [blame]
/**
* 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.apex.examples.machinedata;
import org.apache.apex.examples.machinedata.data.MachineInfo;
import org.apache.apex.examples.machinedata.data.MachineKey;
import com.datatorrent.api.Context;
import com.datatorrent.api.DefaultInputPort;
import com.datatorrent.api.DefaultOutputPort;
import com.datatorrent.common.util.BaseOperator;
/**
* <p>
* Information tuple generator with randomness.
* </p>
*
* @since 0.3.5
*/
@SuppressWarnings("unused")
public class DimensionGenerator extends BaseOperator
{
public transient DefaultOutputPort<MachineInfo> outputInline = new DefaultOutputPort<>();
public transient DefaultOutputPort<MachineInfo> output = new DefaultOutputPort<>();
private int threshold = 90;
public final transient DefaultInputPort<MachineInfo> inputPort = new DefaultInputPort<MachineInfo>()
{
@Override
public void process(MachineInfo tuple)
{
emitDimensions(tuple);
}
};
@Override
public void setup(Context.OperatorContext context)
{
super.setup(context);
}
/**
* This returns the threshold value set
* @return
*/
public int getThreshold()
{
return threshold;
}
/**
* This function sets the threshold value. This value is used to check the maximum value for cpu/ram/hdd
* @param threshold
*/
public void setThreshold(int threshold)
{
this.threshold = threshold;
}
/**
* This function takes in the tuple from upstream operator and generates tuples with different dimension combinations
*
* @param tuple
*/
private void emitDimensions(MachineInfo tuple)
{
MachineKey tupleKey = tuple.getMachineKey();
for (int i = 0; i < 64; i++) {
MachineKey machineKey = new MachineKey(tupleKey.getTimeKey(),tupleKey.getDay());
if ((i & 1) != 0) {
machineKey.setCustomer(tupleKey.getCustomer());
}
if ((i & 2) != 0) {
machineKey.setProduct(tupleKey.getProduct());
}
if ((i & 4) != 0) {
machineKey.setOs(tupleKey.getOs());
}
if ((i & 8) != 0) {
machineKey.setDeviceId(tupleKey.getDeviceId());
}
if ((i & 16) != 0) {
machineKey.setSoftware1(tupleKey.getSoftware1());
}
if ((i & 32) != 0) {
machineKey.setSoftware2(tupleKey.getSoftware2());
}
int cpu = tuple.getCpu();
int ram = tuple.getRam();
int hdd = tuple.getHdd();
MachineInfo machineInfo = new MachineInfo();
machineInfo.setMachineKey(machineKey);
machineInfo.setCpu((cpu < threshold) ? cpu : threshold);
machineInfo.setRam((ram < threshold) ? ram : threshold);
machineInfo.setHdd((hdd < threshold) ? hdd : threshold);
outputInline.emit(machineInfo);
output.emit(machineInfo);
}
}
}