Struct aws_sdk_lightsail::operation::get_relational_database_metric_data::GetRelationalDatabaseMetricDataInput
source · #[non_exhaustive]pub struct GetRelationalDatabaseMetricDataInput {
pub relational_database_name: Option<String>,
pub metric_name: Option<RelationalDatabaseMetricName>,
pub period: Option<i32>,
pub start_time: Option<DateTime>,
pub end_time: Option<DateTime>,
pub unit: Option<MetricUnit>,
pub statistics: Option<Vec<MetricStatistic>>,
}
Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
Struct { .. }
syntax; cannot be matched against without a wildcard ..
; and struct update syntax will not work.relational_database_name: Option<String>
The name of your database from which to get metric data.
metric_name: Option<RelationalDatabaseMetricName>
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 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
.
period: Option<i32>
The granularity, in seconds, of the returned data points.
All relational database metric data is available in 1-minute (60 seconds) granularity.
start_time: Option<DateTime>
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: Option<DateTime>
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: Option<MetricUnit>
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.
statistics: Option<Vec<MetricStatistic>>
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.
Implementations§
source§impl GetRelationalDatabaseMetricDataInput
impl GetRelationalDatabaseMetricDataInput
sourcepub fn relational_database_name(&self) -> Option<&str>
pub fn relational_database_name(&self) -> Option<&str>
The name of your database from which to get metric data.
sourcepub fn metric_name(&self) -> Option<&RelationalDatabaseMetricName>
pub fn metric_name(&self) -> Option<&RelationalDatabaseMetricName>
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 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
.
sourcepub fn period(&self) -> Option<i32>
pub fn period(&self) -> Option<i32>
The granularity, in seconds, of the returned data points.
All relational database metric data is available in 1-minute (60 seconds) granularity.
sourcepub fn start_time(&self) -> Option<&DateTime>
pub fn start_time(&self) -> Option<&DateTime>
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.
sourcepub fn end_time(&self) -> Option<&DateTime>
pub fn end_time(&self) -> Option<&DateTime>
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.
sourcepub fn unit(&self) -> Option<&MetricUnit>
pub fn unit(&self) -> Option<&MetricUnit>
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.
sourcepub fn statistics(&self) -> &[MetricStatistic]
pub fn statistics(&self) -> &[MetricStatistic]
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.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .statistics.is_none()
.
source§impl GetRelationalDatabaseMetricDataInput
impl GetRelationalDatabaseMetricDataInput
sourcepub fn builder() -> GetRelationalDatabaseMetricDataInputBuilder
pub fn builder() -> GetRelationalDatabaseMetricDataInputBuilder
Creates a new builder-style object to manufacture GetRelationalDatabaseMetricDataInput
.
Trait Implementations§
source§impl Clone for GetRelationalDatabaseMetricDataInput
impl Clone for GetRelationalDatabaseMetricDataInput
source§fn clone(&self) -> GetRelationalDatabaseMetricDataInput
fn clone(&self) -> GetRelationalDatabaseMetricDataInput
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl PartialEq for GetRelationalDatabaseMetricDataInput
impl PartialEq for GetRelationalDatabaseMetricDataInput
source§fn eq(&self, other: &GetRelationalDatabaseMetricDataInput) -> bool
fn eq(&self, other: &GetRelationalDatabaseMetricDataInput) -> bool
self
and other
values to be equal, and is used
by ==
.impl StructuralPartialEq for GetRelationalDatabaseMetricDataInput
Auto Trait Implementations§
impl Freeze for GetRelationalDatabaseMetricDataInput
impl RefUnwindSafe for GetRelationalDatabaseMetricDataInput
impl Send for GetRelationalDatabaseMetricDataInput
impl Sync for GetRelationalDatabaseMetricDataInput
impl Unpin for GetRelationalDatabaseMetricDataInput
impl UnwindSafe for GetRelationalDatabaseMetricDataInput
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
source§impl<T> Instrument for T
impl<T> Instrument for T
source§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
source§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
source§impl<T> IntoEither for T
impl<T> IntoEither for T
source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
self
into a Left
variant of Either<Self, Self>
if into_left
is true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moresource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
self
into a Left
variant of Either<Self, Self>
if into_left(&self)
returns true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read more