All Downloads are FREE. Search and download functionalities are using the official Maven repository.

com.amazonaws.services.kinesis.metrics.impl.DimensionTrackingMetricsScope Maven / Gradle / Ivy

Go to download

The Amazon Kinesis Client Library for Java enables Java developers to easily consume and process data from Amazon Kinesis.

There is a newer version: 1.15.2
Show newest version
/*
 * Copyright 2012-2013 Amazon.com, Inc. or its affiliates. All Rights Reserved.
 *
 * Licensed under the Amazon Software License (the "License").
 * You may not use this file except in compliance with the License.
 * A copy of the License is located at
 *
 * http://aws.amazon.com/asl/
 *
 * or in the "license" file accompanying this file. This file 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.amazonaws.services.kinesis.metrics.impl;

import java.util.HashSet;
import java.util.Set;

import com.amazonaws.services.cloudwatch.model.Dimension;
import com.amazonaws.services.kinesis.metrics.interfaces.IMetricsScope;

/**
 * DimensionTrackingMetricsScope is where we provide functionality for dimensions.
 * Dimensions allow the user to be able view their metrics based off of the parameters they specify.
 * 
 * The following examples show how to add dimensions if they would like to view their all metrics
 * pertaining to a particular stream or for a specific date.
 * 
 * myScope.addDimension("StreamName", "myStreamName");
 * myScope.addDimension("Date", "Dec012013");
 * 
 * 
 */

public abstract class DimensionTrackingMetricsScope implements IMetricsScope {

    private Set dimensions = new HashSet();

    @Override
    public void addDimension(String name, String value) {
        dimensions.add(new Dimension().withName(name).withValue(value));
    }

    /**
     * @return a set of dimensions for an IMetricsScope
     */

    protected Set getDimensions() {
        return dimensions;
    }

}




© 2015 - 2024 Weber Informatics LLC | Privacy Policy