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Returns the data points of the specified metric for a database in Amazon Lightsail.
Metrics report the utilization of your resources, and the error counts generated by them. Monitor and collect metric data regularly to maintain the reliability, availability, and performance of your resources.
See also: AWS API Documentation
get-relational-database-metric-data
--relational-database-name <value>
--metric-name <value>
--period <value>
--start-time <value>
--end-time <value>
--unit <value>
--statistics <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
--relational-database-name
(string)
The name of your database from which to get metric data.
--metric-name
(string)
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 publishedunit
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 areMaximum
andAverage
.Unit
: The published unit isPercent
.- **
DatabaseConnections
** - The number of database connections in use.Statistics
: The most useful statistics areMaximum
andSum
.Unit
: The published unit isCount
.- **
DiskQueueDepth
** - The number of outstanding IOs (read/write requests) that are waiting to access the disk.Statistics
: The most useful statistic isSum
.Unit
: The published unit isCount
.- **
FreeStorageSpace
** - The amount of available storage space.Statistics
: The most useful statistic isSum
.Unit
: The published unit isBytes
.- **
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 isAverage
.Unit
: The published unit isBytes/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 isAverage
.Unit
: The published unit isBytes/Second
.Possible values:
CPUUtilization
DatabaseConnections
DiskQueueDepth
FreeStorageSpace
NetworkReceiveThroughput
NetworkTransmitThroughput
--period
(integer)
The granularity, in seconds, of the returned data points.
All relational database metric data is available in 1-minute (60 seconds) granularity.
--start-time
(timestamp)
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.
--end-time
(timestamp)
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.
--unit
(string)
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.Possible values:
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
--statistics
(list)
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.(string)
Syntax:
"string" "string" ...
Where valid values are:
Minimum
Maximum
Sum
Average
SampleCount
--cli-input-json
(string)
Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command.
--debug
(boolean)
Turn on debug logging.
--endpoint-url
(string)
Override command's default URL with the given URL.
--no-verify-ssl
(boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate
(boolean)
Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.
--output
(string)
The formatting style for command output.
--query
(string)
A JMESPath query to use in filtering the response data.
--profile
(string)
Use a specific profile from your credential file.
--region
(string)
The region to use. Overrides config/env settings.
--version
(string)
Display the version of this tool.
--color
(string)
Turn on/off color output.
--no-sign-request
(boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle
(string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout
(int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout
(int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.
Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal's quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .
To get metric data for a relational database
The following get-relational-database-metric-data
example returns the count sum of the metric DatabaseConnections
over the period of 24 hours (86400
seconds) between 1570733176
and 1571597176
for relational database Database1
.
We recommend that you use a unix time converter to identify the start and end times.
aws lightsail get-relational-database-metric-data \
--relational-database-name Database1 \
--metric-name DatabaseConnections \
--period 86400 \
--start-time 1570733176 \
--end-time 1571597176 \
--unit Count \
--statistics Sum
Output:
{
"metricName": "DatabaseConnections",
"metricData": [
{
"sum": 1.0,
"timestamp": 1571510760.0,
"unit": "Count"
},
{
"sum": 1.0,
"timestamp": 1570733160.0,
"unit": "Count"
},
{
"sum": 1.0,
"timestamp": 1570992360.0,
"unit": "Count"
},
{
"sum": 0.0,
"timestamp": 1571251560.0,
"unit": "Count"
},
{
"sum": 721.0,
"timestamp": 1570819560.0,
"unit": "Count"
},
{
"sum": 1.0,
"timestamp": 1571078760.0,
"unit": "Count"
},
{
"sum": 2.0,
"timestamp": 1571337960.0,
"unit": "Count"
},
{
"sum": 684.0,
"timestamp": 1570905960.0,
"unit": "Count"
},
{
"sum": 0.0,
"timestamp": 1571165160.0,
"unit": "Count"
},
{
"sum": 1.0,
"timestamp": 1571424360.0,
"unit": "Count"
}
]
}
metricName -> (string)
The name of the metric returned.
metricData -> (list)
An array of objects that describe the metric data returned.
(structure)
Describes the metric data point.
average -> (double)
The average.maximum -> (double)
The maximum.minimum -> (double)
The minimum.sampleCount -> (double)
The sample count.sum -> (double)
The sum.timestamp -> (timestamp)
The timestamp (1479816991.349
).unit -> (string)
The unit.