/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (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/apache2.0 * * 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.lightsail.model; import java.io.Serializable; import javax.annotation.Generated; import com.amazonaws.AmazonWebServiceRequest; /** * * @see AWS API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class GetRelationalDatabaseMetricDataRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable { /** *
* The name of your database from which to get metric data. *
*/ private String relationalDatabaseName; /** ** The metric for which you want to return information. *
*
* Valid relational database metric names are listed below, along with the most useful statistics
to
* include in your request, and the published unit
value. All relational database metric data is
* available in 1-minute (60 seconds) granularity.
*
* CPUUtilization
- The percentage of CPU utilization currently in use on the database.
*
* Statistics
: The most useful statistics are Maximum
and Average
.
*
* Unit
: The published unit is Percent
.
*
* DatabaseConnections
- The number of database connections in use.
*
* Statistics
: The most useful statistics are Maximum
and Sum
.
*
* Unit
: The published unit is Count
.
*
* DiskQueueDepth
- The number of outstanding IOs (read/write requests) that are waiting to
* access the disk.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Count
.
*
* FreeStorageSpace
- The amount of available storage space.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Bytes
.
*
* NetworkReceiveThroughput
- The incoming (Receive) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* NetworkTransmitThroughput
- The outgoing (Transmit) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* The granularity, in seconds, of the returned data points. *
** All relational database metric data is available in 1-minute (60 seconds) granularity. *
*/ private Integer period; /** ** The start of the time interval from which to get metric data. *
** Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use a start time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the start time.
*
* The end of the time interval from which to get metric data. *
** Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use an end time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the end time.
*
* The unit for the metric data request. Valid units depend on the metric data being requested. For the valid units
* with each available metric, see the metricName
parameter.
*
* The statistic for the metric. *
** The following statistics are available: *
*
* Minimum
- The lowest value observed during the specified period. Use this value to determine low
* volumes of activity for your application.
*
* Maximum
- The highest value observed during the specified period. Use this value to determine high
* volumes of activity for your application.
*
* Sum
- All values submitted for the matching metric added together. You can use this statistic to
* determine the total volume of a metric.
*
* Average
- The value of Sum / SampleCount during the specified period. By comparing this statistic
* with the Minimum and Maximum values, you can determine the full scope of a metric and how close the average use
* is to the Minimum and Maximum values. This comparison helps you to know when to increase or decrease your
* resources.
*
* SampleCount
- The count, or number, of data points used for the statistical calculation.
*
* The name of your database from which to get metric data. *
* * @param relationalDatabaseName * The name of your database from which to get metric data. */ public void setRelationalDatabaseName(String relationalDatabaseName) { this.relationalDatabaseName = relationalDatabaseName; } /** ** The name of your database from which to get metric data. *
* * @return The name of your database from which to get metric data. */ public String getRelationalDatabaseName() { return this.relationalDatabaseName; } /** ** The name of your database from which to get metric data. *
* * @param relationalDatabaseName * The name of your database from which to get metric data. * @return Returns a reference to this object so that method calls can be chained together. */ public GetRelationalDatabaseMetricDataRequest withRelationalDatabaseName(String relationalDatabaseName) { setRelationalDatabaseName(relationalDatabaseName); return this; } /** ** The metric for which you want to return information. *
*
* Valid relational database metric names are listed below, along with the most useful statistics
to
* include in your request, and the published unit
value. All relational database metric data is
* available in 1-minute (60 seconds) granularity.
*
* CPUUtilization
- The percentage of CPU utilization currently in use on the database.
*
* Statistics
: The most useful statistics are Maximum
and Average
.
*
* Unit
: The published unit is Percent
.
*
* DatabaseConnections
- The number of database connections in use.
*
* Statistics
: The most useful statistics are Maximum
and Sum
.
*
* Unit
: The published unit is Count
.
*
* DiskQueueDepth
- The number of outstanding IOs (read/write requests) that are waiting to
* access the disk.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Count
.
*
* FreeStorageSpace
- The amount of available storage space.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Bytes
.
*
* NetworkReceiveThroughput
- The incoming (Receive) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* NetworkTransmitThroughput
- The outgoing (Transmit) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* Valid relational database metric names are listed below, along with the most useful
* statistics
to include in your request, and the published unit
value. All
* relational database metric data is available in 1-minute (60 seconds) granularity.
*
* CPUUtilization
- The percentage of CPU utilization currently in use on the database.
*
* Statistics
: The most useful statistics are Maximum
and Average
.
*
* Unit
: The published unit is Percent
.
*
* DatabaseConnections
- The number of database connections in use.
*
* Statistics
: The most useful statistics are Maximum
and Sum
.
*
* Unit
: The published unit is Count
.
*
* DiskQueueDepth
- The number of outstanding IOs (read/write requests) that are
* waiting to access the disk.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Count
.
*
* FreeStorageSpace
- The amount of available storage space.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Bytes
.
*
* NetworkReceiveThroughput
- The incoming (Receive) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* NetworkTransmitThroughput
- The outgoing (Transmit) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* The metric for which you want to return information. *
*
* Valid relational database metric names are listed below, along with the most useful statistics
to
* include in your request, and the published unit
value. All relational database metric data is
* available in 1-minute (60 seconds) granularity.
*
* CPUUtilization
- The percentage of CPU utilization currently in use on the database.
*
* Statistics
: The most useful statistics are Maximum
and Average
.
*
* Unit
: The published unit is Percent
.
*
* DatabaseConnections
- The number of database connections in use.
*
* Statistics
: The most useful statistics are Maximum
and Sum
.
*
* Unit
: The published unit is Count
.
*
* DiskQueueDepth
- The number of outstanding IOs (read/write requests) that are waiting to
* access the disk.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Count
.
*
* FreeStorageSpace
- The amount of available storage space.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Bytes
.
*
* NetworkReceiveThroughput
- The incoming (Receive) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* NetworkTransmitThroughput
- The outgoing (Transmit) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* Valid relational database metric names are listed below, along with the most useful
* statistics
to include in your request, and the published unit
value. All
* relational database metric data is available in 1-minute (60 seconds) granularity.
*
* CPUUtilization
- The percentage of CPU utilization currently in use on the
* database.
*
* Statistics
: The most useful statistics are Maximum
and Average
.
*
* Unit
: The published unit is Percent
.
*
* DatabaseConnections
- The number of database connections in use.
*
* Statistics
: The most useful statistics are Maximum
and Sum
.
*
* Unit
: The published unit is Count
.
*
* DiskQueueDepth
- The number of outstanding IOs (read/write requests) that are
* waiting to access the disk.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Count
.
*
* FreeStorageSpace
- The amount of available storage space.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Bytes
.
*
* NetworkReceiveThroughput
- The incoming (Receive) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* NetworkTransmitThroughput
- The outgoing (Transmit) network traffic on the
* database, including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* The metric for which you want to return information. *
*
* Valid relational database metric names are listed below, along with the most useful statistics
to
* include in your request, and the published unit
value. All relational database metric data is
* available in 1-minute (60 seconds) granularity.
*
* CPUUtilization
- The percentage of CPU utilization currently in use on the database.
*
* Statistics
: The most useful statistics are Maximum
and Average
.
*
* Unit
: The published unit is Percent
.
*
* DatabaseConnections
- The number of database connections in use.
*
* Statistics
: The most useful statistics are Maximum
and Sum
.
*
* Unit
: The published unit is Count
.
*
* DiskQueueDepth
- The number of outstanding IOs (read/write requests) that are waiting to
* access the disk.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Count
.
*
* FreeStorageSpace
- The amount of available storage space.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Bytes
.
*
* NetworkReceiveThroughput
- The incoming (Receive) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* NetworkTransmitThroughput
- The outgoing (Transmit) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* Valid relational database metric names are listed below, along with the most useful
* statistics
to include in your request, and the published unit
value. All
* relational database metric data is available in 1-minute (60 seconds) granularity.
*
* CPUUtilization
- The percentage of CPU utilization currently in use on the database.
*
* Statistics
: The most useful statistics are Maximum
and Average
.
*
* Unit
: The published unit is Percent
.
*
* DatabaseConnections
- The number of database connections in use.
*
* Statistics
: The most useful statistics are Maximum
and Sum
.
*
* Unit
: The published unit is Count
.
*
* DiskQueueDepth
- The number of outstanding IOs (read/write requests) that are
* waiting to access the disk.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Count
.
*
* FreeStorageSpace
- The amount of available storage space.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Bytes
.
*
* NetworkReceiveThroughput
- The incoming (Receive) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* NetworkTransmitThroughput
- The outgoing (Transmit) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* The metric for which you want to return information. *
*
* Valid relational database metric names are listed below, along with the most useful statistics
to
* include in your request, and the published unit
value. All relational database metric data is
* available in 1-minute (60 seconds) granularity.
*
* CPUUtilization
- The percentage of CPU utilization currently in use on the database.
*
* Statistics
: The most useful statistics are Maximum
and Average
.
*
* Unit
: The published unit is Percent
.
*
* DatabaseConnections
- The number of database connections in use.
*
* Statistics
: The most useful statistics are Maximum
and Sum
.
*
* Unit
: The published unit is Count
.
*
* DiskQueueDepth
- The number of outstanding IOs (read/write requests) that are waiting to
* access the disk.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Count
.
*
* FreeStorageSpace
- The amount of available storage space.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Bytes
.
*
* NetworkReceiveThroughput
- The incoming (Receive) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* NetworkTransmitThroughput
- The outgoing (Transmit) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* Valid relational database metric names are listed below, along with the most useful
* statistics
to include in your request, and the published unit
value. All
* relational database metric data is available in 1-minute (60 seconds) granularity.
*
* CPUUtilization
- The percentage of CPU utilization currently in use on the database.
*
* Statistics
: The most useful statistics are Maximum
and Average
.
*
* Unit
: The published unit is Percent
.
*
* DatabaseConnections
- The number of database connections in use.
*
* Statistics
: The most useful statistics are Maximum
and Sum
.
*
* Unit
: The published unit is Count
.
*
* DiskQueueDepth
- The number of outstanding IOs (read/write requests) that are
* waiting to access the disk.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Count
.
*
* FreeStorageSpace
- The amount of available storage space.
*
* Statistics
: The most useful statistic is Sum
.
*
* Unit
: The published unit is Bytes
.
*
* NetworkReceiveThroughput
- The incoming (Receive) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* NetworkTransmitThroughput
- The outgoing (Transmit) network traffic on the database,
* including both customer database traffic and AWS traffic used for monitoring and replication.
*
* Statistics
: The most useful statistic is Average
.
*
* Unit
: The published unit is Bytes/Second
.
*
* The granularity, in seconds, of the returned data points. *
** All relational database metric data is available in 1-minute (60 seconds) granularity. *
* * @param period * The granularity, in seconds, of the returned data points. ** All relational database metric data is available in 1-minute (60 seconds) granularity. */ public void setPeriod(Integer period) { this.period = period; } /** *
* The granularity, in seconds, of the returned data points. *
** All relational database metric data is available in 1-minute (60 seconds) granularity. *
* * @return The granularity, in seconds, of the returned data points. ** All relational database metric data is available in 1-minute (60 seconds) granularity. */ public Integer getPeriod() { return this.period; } /** *
* The granularity, in seconds, of the returned data points. *
** All relational database metric data is available in 1-minute (60 seconds) granularity. *
* * @param period * The granularity, in seconds, of the returned data points. ** All relational database metric data is available in 1-minute (60 seconds) granularity. * @return Returns a reference to this object so that method calls can be chained together. */ public GetRelationalDatabaseMetricDataRequest withPeriod(Integer period) { setPeriod(period); return this; } /** *
* The start of the time interval from which to get metric data. *
** Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use a start time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the start time.
*
* Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use a start time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the start time.
*
* The start of the time interval from which to get metric data. *
** Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use a start time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the start time.
*
* Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use a start time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the start time.
*
* The start of the time interval from which to get metric data. *
** Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use a start time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the start time.
*
* Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use a start time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the start time.
*
* The end of the time interval from which to get metric data. *
** Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use an end time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the end time.
*
* Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use an end time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the end time.
*
* The end of the time interval from which to get metric data. *
** Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use an end time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the end time.
*
* Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use an end time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the end time.
*
* The end of the time interval from which to get metric data. *
** Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use an end time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the end time.
*
* Constraints: *
** Specified in Coordinated Universal Time (UTC). *
** Specified in the Unix time format. *
*
* For example, if you wish to use an end time of October 1, 2018, at 8 PM UTC, then you input
* 1538424000
as the end time.
*
* The unit for the metric data request. Valid units depend on the metric data being requested. For the valid units
* with each available metric, see the metricName
parameter.
*
metricName
parameter.
* @see MetricUnit
*/
public void setUnit(String unit) {
this.unit = unit;
}
/**
*
* The unit for the metric data request. Valid units depend on the metric data being requested. For the valid units
* with each available metric, see the metricName
parameter.
*
metricName
parameter.
* @see MetricUnit
*/
public String getUnit() {
return this.unit;
}
/**
*
* The unit for the metric data request. Valid units depend on the metric data being requested. For the valid units
* with each available metric, see the metricName
parameter.
*
metricName
parameter.
* @return Returns a reference to this object so that method calls can be chained together.
* @see MetricUnit
*/
public GetRelationalDatabaseMetricDataRequest withUnit(String unit) {
setUnit(unit);
return this;
}
/**
*
* The unit for the metric data request. Valid units depend on the metric data being requested. For the valid units
* with each available metric, see the metricName
parameter.
*
metricName
parameter.
* @return Returns a reference to this object so that method calls can be chained together.
* @see MetricUnit
*/
public GetRelationalDatabaseMetricDataRequest withUnit(MetricUnit unit) {
this.unit = unit.toString();
return this;
}
/**
* * The statistic for the metric. *
** The following statistics are available: *
*
* Minimum
- The lowest value observed during the specified period. Use this value to determine low
* volumes of activity for your application.
*
* Maximum
- The highest value observed during the specified period. Use this value to determine high
* volumes of activity for your application.
*
* Sum
- All values submitted for the matching metric added together. You can use this statistic to
* determine the total volume of a metric.
*
* Average
- The value of Sum / SampleCount during the specified period. By comparing this statistic
* with the Minimum and Maximum values, you can determine the full scope of a metric and how close the average use
* is to the Minimum and Maximum values. This comparison helps you to know when to increase or decrease your
* resources.
*
* SampleCount
- The count, or number, of data points used for the statistical calculation.
*
* The following statistics are available: *
*
* Minimum
- The lowest value observed during the specified period. Use this value to determine
* low volumes of activity for your application.
*
* Maximum
- The highest value observed during the specified period. Use this value to
* determine high volumes of activity for your application.
*
* Sum
- All values submitted for the matching metric added together. You can use this
* statistic to determine the total volume of a metric.
*
* Average
- The value of Sum / SampleCount during the specified period. By comparing this
* statistic with the Minimum and Maximum values, you can determine the full scope of a metric and how close
* the average use is to the Minimum and Maximum values. This comparison helps you to know when to increase
* or decrease your resources.
*
* SampleCount
- The count, or number, of data points used for the statistical calculation.
*
* The statistic for the metric. *
** The following statistics are available: *
*
* Minimum
- The lowest value observed during the specified period. Use this value to determine low
* volumes of activity for your application.
*
* Maximum
- The highest value observed during the specified period. Use this value to determine high
* volumes of activity for your application.
*
* Sum
- All values submitted for the matching metric added together. You can use this statistic to
* determine the total volume of a metric.
*
* Average
- The value of Sum / SampleCount during the specified period. By comparing this statistic
* with the Minimum and Maximum values, you can determine the full scope of a metric and how close the average use
* is to the Minimum and Maximum values. This comparison helps you to know when to increase or decrease your
* resources.
*
* SampleCount
- The count, or number, of data points used for the statistical calculation.
*
* The following statistics are available: *
*
* Minimum
- The lowest value observed during the specified period. Use this value to determine
* low volumes of activity for your application.
*
* Maximum
- The highest value observed during the specified period. Use this value to determine
* high volumes of activity for your application.
*
* Sum
- All values submitted for the matching metric added together. You can use this statistic
* to determine the total volume of a metric.
*
* Average
- The value of Sum / SampleCount during the specified period. By comparing this
* statistic with the Minimum and Maximum values, you can determine the full scope of a metric and how close
* the average use is to the Minimum and Maximum values. This comparison helps you to know when to increase
* or decrease your resources.
*
* SampleCount
- The count, or number, of data points used for the statistical calculation.
*
* The statistic for the metric. *
** The following statistics are available: *
*
* Minimum
- The lowest value observed during the specified period. Use this value to determine low
* volumes of activity for your application.
*
* Maximum
- The highest value observed during the specified period. Use this value to determine high
* volumes of activity for your application.
*
* Sum
- All values submitted for the matching metric added together. You can use this statistic to
* determine the total volume of a metric.
*
* Average
- The value of Sum / SampleCount during the specified period. By comparing this statistic
* with the Minimum and Maximum values, you can determine the full scope of a metric and how close the average use
* is to the Minimum and Maximum values. This comparison helps you to know when to increase or decrease your
* resources.
*
* SampleCount
- The count, or number, of data points used for the statistical calculation.
*
* NOTE: This method appends the values to the existing list (if any). Use * {@link #setStatistics(java.util.Collection)} or {@link #withStatistics(java.util.Collection)} if you want to * override the existing values. *
* * @param statistics * The statistic for the metric. ** The following statistics are available: *
*
* Minimum
- The lowest value observed during the specified period. Use this value to determine
* low volumes of activity for your application.
*
* Maximum
- The highest value observed during the specified period. Use this value to determine
* high volumes of activity for your application.
*
* Sum
- All values submitted for the matching metric added together. You can use this statistic
* to determine the total volume of a metric.
*
* Average
- The value of Sum / SampleCount during the specified period. By comparing this
* statistic with the Minimum and Maximum values, you can determine the full scope of a metric and how close
* the average use is to the Minimum and Maximum values. This comparison helps you to know when to increase
* or decrease your resources.
*
* SampleCount
- The count, or number, of data points used for the statistical calculation.
*
* The statistic for the metric. *
** The following statistics are available: *
*
* Minimum
- The lowest value observed during the specified period. Use this value to determine low
* volumes of activity for your application.
*
* Maximum
- The highest value observed during the specified period. Use this value to determine high
* volumes of activity for your application.
*
* Sum
- All values submitted for the matching metric added together. You can use this statistic to
* determine the total volume of a metric.
*
* Average
- The value of Sum / SampleCount during the specified period. By comparing this statistic
* with the Minimum and Maximum values, you can determine the full scope of a metric and how close the average use
* is to the Minimum and Maximum values. This comparison helps you to know when to increase or decrease your
* resources.
*
* SampleCount
- The count, or number, of data points used for the statistical calculation.
*
* The following statistics are available: *
*
* Minimum
- The lowest value observed during the specified period. Use this value to determine
* low volumes of activity for your application.
*
* Maximum
- The highest value observed during the specified period. Use this value to determine
* high volumes of activity for your application.
*
* Sum
- All values submitted for the matching metric added together. You can use this statistic
* to determine the total volume of a metric.
*
* Average
- The value of Sum / SampleCount during the specified period. By comparing this
* statistic with the Minimum and Maximum values, you can determine the full scope of a metric and how close
* the average use is to the Minimum and Maximum values. This comparison helps you to know when to increase
* or decrease your resources.
*
* SampleCount
- The count, or number, of data points used for the statistical calculation.
*
* The statistic for the metric. *
** The following statistics are available: *
*
* Minimum
- The lowest value observed during the specified period. Use this value to determine low
* volumes of activity for your application.
*
* Maximum
- The highest value observed during the specified period. Use this value to determine high
* volumes of activity for your application.
*
* Sum
- All values submitted for the matching metric added together. You can use this statistic to
* determine the total volume of a metric.
*
* Average
- The value of Sum / SampleCount during the specified period. By comparing this statistic
* with the Minimum and Maximum values, you can determine the full scope of a metric and how close the average use
* is to the Minimum and Maximum values. This comparison helps you to know when to increase or decrease your
* resources.
*
* SampleCount
- The count, or number, of data points used for the statistical calculation.
*
* The following statistics are available: *
*
* Minimum
- The lowest value observed during the specified period. Use this value to determine
* low volumes of activity for your application.
*
* Maximum
- The highest value observed during the specified period. Use this value to determine
* high volumes of activity for your application.
*
* Sum
- All values submitted for the matching metric added together. You can use this statistic
* to determine the total volume of a metric.
*
* Average
- The value of Sum / SampleCount during the specified period. By comparing this
* statistic with the Minimum and Maximum values, you can determine the full scope of a metric and how close
* the average use is to the Minimum and Maximum values. This comparison helps you to know when to increase
* or decrease your resources.
*
* SampleCount
- The count, or number, of data points used for the statistical calculation.
*