/*
* Copyright (c) 2010-2012 Grid Dynamics Consulting Services, Inc, All Rights Reserved
* http://www.griddynamics.com
*
* This library is free software; you can redistribute it and/or modify it under the terms of
* the Apache License; either
* version 2.0 of the License, or any later version.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package com.griddynamics.jagger.engine.e1.collector;
import com.griddynamics.jagger.util.TimeUnits;
/** Class that describes settings of aggregator
* @details With help of this class you can define: @n
* @li aggregation interval for metric or number of saved points
* @li normalisation of metric vs time
* @n
* @ingroup Main_Aggregators_group */
public class MetricAggregatorSettings {
/** Empty settings that not affect data processing. Used when no additional settings required for aggregation */
public static final MetricAggregatorSettings EMPTY_SETTINGS = new MetricAggregatorSettings();
/** Interval of time to normalize values by it */
private TimeUnits normalizationBy = TimeUnits.NONE;
/** Size of interval in milliseconds to aggregate values on it */
private int pointInterval = 0;
/** Maximum number of points on plot */
private int pointCount = 0;
/** If false - normalize by time of current aggregation interval, if true - by time elapsed from beginning of the test */
private boolean normalizeOnFullMeasuredInterval = false;
/** Getter for normalization interval
* @return Normalization interval
*/
public TimeUnits getNormalizationBy() {
return normalizationBy;
}
/** Getter for aggregation interval
* @return Aggregation interval
*/
public int getPointInterval() {
return pointInterval;
}
/** Getter for points count
* @return Points count
*/
public int getPointCount() {
return pointCount;
}
/** Getter for normalization strategy (false - normalize by current aggregation interval, true - by time from beginning of the test
* @return false if normalizing by aggregation interval, true - by time from test beginning
*/
public boolean isNormalizeOnFullMeasuredInterval() {
return normalizeOnFullMeasuredInterval;
}
/** Setter for normalization interval. Aggregated values will be normalized by this interval. @n
* Use TimeUtils.NONE if normalization not required.
* @param normalizationBy Normalization interval
*/
public void setNormalizationBy(TimeUnits normalizationBy) {
this.normalizationBy = normalizationBy;
}
/** Setter for aggregation interval. Aggregator will aggregate values on this interval in milliseconds. @n
* !Note that pointInterval has higher priority then pointCount
* @param pointInterval Aggregation interval
*/
public void setPointInterval(int pointInterval) {
this.pointInterval = pointInterval;
}
/** Setter for points count. Indicates maximum number of points on plot. @n
* !Note that pointInterval has higher priority then pointCount
* @param pointCount Points count;
*/
public void setPointCount(int pointCount) {
this.pointCount = pointCount;
}
/** Setter for normalization strategy (false - normalize by current aggregation interval, true - by time from beginning of the test
* @param normalizeOnFullMeasuredInterval - set false if normalizing by aggregation interval, true - by time from test beginning
*/
public void setNormalizeOnFullMeasuredInterval(boolean normalizeOnFullMeasuredInterval) {
this.normalizeOnFullMeasuredInterval = normalizeOnFullMeasuredInterval;
}
}