| /** |
| * 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.ambari.metrics.core.timeline; |
| |
| import org.apache.hadoop.metrics2.sink.timeline.MetricHostAggregate; |
| import org.apache.hadoop.metrics2.sink.timeline.TimelineMetric; |
| import org.apache.hadoop.metrics2.sink.timeline.TimelineMetrics; |
| import org.apache.ambari.metrics.core.timeline.aggregators.TimelineClusterMetric; |
| |
| import java.util.Arrays; |
| import java.util.TreeMap; |
| |
| public class MetricTestHelper { |
| |
| public static MetricHostAggregate createMetricHostAggregate(double max, double min, int numberOfSamples, double sum) { |
| MetricHostAggregate expectedAggregate = new MetricHostAggregate(); |
| expectedAggregate.setMax(max); |
| expectedAggregate.setMin(min); |
| expectedAggregate.setNumberOfSamples(numberOfSamples); |
| expectedAggregate.setSum(sum); |
| |
| return expectedAggregate; |
| } |
| |
| public static TimelineMetrics prepareSingleTimelineMetric(long startTime, |
| String host, |
| String metricName, |
| double val) { |
| return prepareSingleTimelineMetric(startTime, host, null, metricName, val); |
| } |
| |
| public static TimelineMetrics prepareSingleTimelineMetric(long startTime, |
| String host, |
| String instanceId, |
| String metricName, |
| double val) { |
| TimelineMetrics m = new TimelineMetrics(); |
| m.setMetrics(Arrays.asList( |
| createTimelineMetric(startTime, metricName, host, null, instanceId, val))); |
| |
| return m; |
| } |
| |
| public static TimelineMetrics prepareSingleTimelineMetric(long startTime, |
| String host, |
| String appId, |
| String instanceId, |
| String metricName, |
| double val) { |
| TimelineMetrics m = new TimelineMetrics(); |
| m.setMetrics(Arrays.asList( |
| createTimelineMetric(startTime, metricName, host, appId, instanceId, val))); |
| |
| return m; |
| } |
| |
| |
| public static TimelineMetric createTimelineMetric(long startTime, |
| String metricName, |
| String host, |
| String appId, |
| String instanceId, |
| double val) { |
| TimelineMetric m = new TimelineMetric(); |
| m.setHostName(host); |
| m.setAppId(appId != null ? appId : "host"); |
| m.setInstanceId(instanceId); |
| m.setMetricName(metricName); |
| m.setStartTime(startTime); |
| TreeMap<Long, Double> vals = new TreeMap<Long, Double>(); |
| vals.put(startTime + 15000l, val); |
| vals.put(startTime + 30000l, val); |
| vals.put(startTime + 45000l, val); |
| vals.put(startTime + 60000l, val); |
| |
| m.setMetricValues(vals); |
| |
| return m; |
| } |
| |
| public static TimelineMetric createEmptyTimelineMetric(long startTime) { |
| TimelineMetric metric = new TimelineMetric(); |
| metric.setMetricName("disk_used"); |
| metric.setAppId("test_app"); |
| metric.setInstanceId("test_instance"); |
| metric.setHostName("test_host"); |
| metric.setStartTime(startTime); |
| |
| return metric; |
| } |
| |
| public static TimelineClusterMetric createEmptyTimelineClusterMetric( |
| String name, long startTime) { |
| TimelineClusterMetric metric = new TimelineClusterMetric(name, |
| "test_app", "instance_id", startTime); |
| |
| return metric; |
| } |
| |
| public static TimelineClusterMetric createEmptyTimelineClusterMetric( |
| long startTime) { |
| return createEmptyTimelineClusterMetric("disk_used", startTime); |
| } |
| } |