/**
* Copyright (C) 2014-2015 LinkedIn Corp. (pinot-core@linkedin.com)
*
* Licensed 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 com.linkedin.thirdeye.hadoop.config;
/**
* Represents the various data types supported for a metric<br/>
* Currently we support INT, SHORT, LONG, FLOAT, DOUBLE
* @author kgopalak
*/
public enum MetricType {
INT {
public Number toNumber(String s) {
return Integer.parseInt(s);
}
public int byteSize() {
return 4;
}
},
SHORT {
public Number toNumber(String s) {
return Short.parseShort(s);
}
public int byteSize() {
return 2;
}
},
LONG {
public Number toNumber(String s) {
return Long.parseLong(s);
}
public int byteSize() {
return 8;
}
},
FLOAT {
public Number toNumber(String s) {
return Float.parseFloat(s);
}
public int byteSize() {
return 4;
}
},
DOUBLE {
public Number toNumber(String s) {
return Double.parseDouble(s);
}
public int byteSize() {
return 8;
}
};
public Number toNumber(String s) {
throw new AbstractMethodError();
}
public int byteSize() {
throw new AbstractMethodError();
}
}