You can use the get_metric_data API to
retrieve as many as 500 different metrics in a single request, with a
total of as many as 100,800 data points. You can also optionally perform
math expressions on the values of the returned statistics, to create new
time series that represent new insights into your data. For example,
using Lambda metrics, you could divide the Errors metric by the
Invocations metric to get an error rate time series. For more
information about metric math expressions, see Metric Math Syntax and Functions
in the Amazon CloudWatch User Guide.
Calls to the get_metric_data API have a
different pricing structure than calls to
get_metric_statistics. For more
information about pricing, see Amazon CloudWatch Pricing.
Amazon CloudWatch retains metric data as follows:
Data points with a period of less than 60 seconds are available for
3 hours. These data points are high-resolution metrics and are
available only for custom metrics that have been defined with a
StorageResolution of 1.
Data points with a period of 60 seconds (1-minute) are available for 15 days.
Data points with a period of 300 seconds (5-minute) are available for 63 days.
Data points with a period of 3600 seconds (1 hour) are available for 455 days (15 months).
Data points that are initially published with a shorter period are aggregated together for long-term storage. For example, if you collect data using a period of 1 minute, the data remains available for 15 days with 1-minute resolution. After 15 days, this data is still available, but is aggregated and retrievable only with a resolution of 5 minutes. After 63 days, the data is further aggregated and is available with a resolution of 1 hour.
If you omit Unit in your request, all data that was collected with any
unit is returned, along with the corresponding units that were specified
when the data was reported to CloudWatch. If you specify a unit, the
operation returns only data that was collected with that unit specified.
If you specify a unit that does not match the data collected, the
results of the operation are null. CloudWatch does not perform unit
conversions.
cloudwatch_get_metric_data(MetricDataQueries, StartTime, EndTime,
NextToken, ScanBy, MaxDatapoints)A list with the following syntax:
list(
MetricDataResults = list(
list(
Id = "string",
Label = "string",
Timestamps = list(
as.POSIXct(
"2015-01-01"
)
),
Values = list(
123.0
),
StatusCode = "Complete"|"InternalError"|"PartialData",
Messages = list(
list(
Code = "string",
Value = "string"
)
)
)
),
NextToken = "string",
Messages = list(
list(
Code = "string",
Value = "string"
)
)
)
[required] The metric queries to be returned. A single
get_metric_data call can include as many
as 500 MetricDataQuery structures. Each of these structures can
specify either a metric to retrieve, or a math expression to perform on
retrieved data.
[required] The time stamp indicating the earliest data to be returned.
The value specified is inclusive; results include data points with the specified time stamp.
CloudWatch rounds the specified time stamp as follows:
Start time less than 15 days ago - Round down to the nearest whole minute. For example, 12:32:34 is rounded down to 12:32:00.
Start time between 15 and 63 days ago - Round down to the nearest 5-minute clock interval. For example, 12:32:34 is rounded down to 12:30:00.
Start time greater than 63 days ago - Round down to the nearest 1-hour clock interval. For example, 12:32:34 is rounded down to 12:00:00.
If you set Period to 5, 10, or 30, the start time of your request is
rounded down to the nearest time that corresponds to even 5-, 10-, or
30-second divisions of a minute. For example, if you make a query at
(HH:mm:ss) 01:05:23 for the previous 10-second period, the start time of
your request is rounded down and you receive data from 01:05:10 to
01:05:20. If you make a query at 15:07:17 for the previous 5 minutes of
data, using a period of 5 seconds, you receive data timestamped between
15:02:15 and 15:07:15.
For better performance, specify StartTime and EndTime values that
align with the value of the metric's Period and sync up with the
beginning and end of an hour. For example, if the Period of a metric
is 5 minutes, specifying 12:05 or 12:30 as StartTime can get a faster
response from CloudWatch than setting 12:07 or 12:29 as the StartTime.
[required] The time stamp indicating the latest data to be returned.
The value specified is exclusive; results include data points up to the specified time stamp.
For better performance, specify StartTime and EndTime values that
align with the value of the metric's Period and sync up with the
beginning and end of an hour. For example, if the Period of a metric
is 5 minutes, specifying 12:05 or 12:30 as EndTime can get a faster
response from CloudWatch than setting 12:07 or 12:29 as the EndTime.
Include this value, if it was returned by the previous
get_metric_data operation, to get the
next set of data points.
The order in which data points should be returned. TimestampDescending
returns the newest data first and paginates when the MaxDatapoints
limit is reached. TimestampAscending returns the oldest data first and
paginates when the MaxDatapoints limit is reached.
The maximum number of data points the request should return before paginating. If you omit this, the default of 100,800 is used.
svc$get_metric_data(
MetricDataQueries = list(
list(
Id = "string",
MetricStat = list(
Metric = list(
Namespace = "string",
MetricName = "string",
Dimensions = list(
list(
Name = "string",
Value = "string"
)
)
),
Period = 123,
Stat = "string",
Unit = "Seconds"|"Microseconds"|"Milliseconds"|"Bytes"|"Kilobytes"|"Megabytes"|"Gigabytes"|"Terabytes"|"Bits"|"Kilobits"|"Megabits"|"Gigabits"|"Terabits"|"Percent"|"Count"|"Bytes/Second"|"Kilobytes/Second"|"Megabytes/Second"|"Gigabytes/Second"|"Terabytes/Second"|"Bits/Second"|"Kilobits/Second"|"Megabits/Second"|"Gigabits/Second"|"Terabits/Second"|"Count/Second"|"None"
),
Expression = "string",
Label = "string",
ReturnData = TRUE|FALSE,
Period = 123
)
),
StartTime = as.POSIXct(
"2015-01-01"
),
EndTime = as.POSIXct(
"2015-01-01"
),
NextToken = "string",
ScanBy = "TimestampDescending"|"TimestampAscending",
MaxDatapoints = 123
)