Struct aws_sdk_pi::operation::describe_dimension_keys::builders::DescribeDimensionKeysInputBuilder

#[non_exhaustive]
pub struct DescribeDimensionKeysInputBuilder { /* private fields */ }

A builder for DescribeDimensionKeysInput.

Implementations

impl DescribeDimensionKeysInputBuilder

pub fn service_type(self, input: ServiceType) -> Self

The Amazon Web Services service for which Performance Insights will return metrics. Valid values are as follows:

• RDS

• DOCDB

This field is required.

pub fn set_service_type(self, input: Option<ServiceType>) -> Self

The Amazon Web Services service for which Performance Insights will return metrics. Valid values are as follows:

• RDS

• DOCDB

pub fn get_service_type(&self) -> &Option<ServiceType>

The Amazon Web Services service for which Performance Insights will return metrics. Valid values are as follows:

• RDS

• DOCDB

pub fn identifier(self, input: impl Into<String>) -> Self

An immutable, Amazon Web Services Region-unique identifier for a data source. Performance Insights gathers metrics from this data source.

To use an Amazon RDS instance as a data source, you specify its DbiResourceId value. For example, specify db-FAIHNTYBKTGAUSUZQYPDS2GW4A.

This field is required.

pub fn set_identifier(self, input: Option<String>) -> Self

An immutable, Amazon Web Services Region-unique identifier for a data source. Performance Insights gathers metrics from this data source.

To use an Amazon RDS instance as a data source, you specify its DbiResourceId value. For example, specify db-FAIHNTYBKTGAUSUZQYPDS2GW4A.

pub fn get_identifier(&self) -> &Option<String>

An immutable, Amazon Web Services Region-unique identifier for a data source. Performance Insights gathers metrics from this data source.

To use an Amazon RDS instance as a data source, you specify its DbiResourceId value. For example, specify db-FAIHNTYBKTGAUSUZQYPDS2GW4A.

pub fn start_time(self, input: DateTime) -> Self

The date and time specifying the beginning of the requested time series data. You must specify a StartTime within the past 7 days. The value specified is inclusive, which means that data points equal to or greater than StartTime are returned.

The value for StartTime must be earlier than the value for EndTime.

This field is required.

pub fn set_start_time(self, input: Option<DateTime>) -> Self

The date and time specifying the beginning of the requested time series data. You must specify a StartTime within the past 7 days. The value specified is inclusive, which means that data points equal to or greater than StartTime are returned.

The value for StartTime must be earlier than the value for EndTime.

pub fn get_start_time(&self) -> &Option<DateTime>

The date and time specifying the beginning of the requested time series data. You must specify a StartTime within the past 7 days. The value specified is inclusive, which means that data points equal to or greater than StartTime are returned.

The value for StartTime must be earlier than the value for EndTime.

pub fn end_time(self, input: DateTime) -> Self

The date and time specifying the end of the requested time series data. The value specified is exclusive, which means that data points less than (but not equal to) EndTime are returned.

The value for EndTime must be later than the value for StartTime.

This field is required.

pub fn set_end_time(self, input: Option<DateTime>) -> Self

The date and time specifying the end of the requested time series data. The value specified is exclusive, which means that data points less than (but not equal to) EndTime are returned.

The value for EndTime must be later than the value for StartTime.

pub fn get_end_time(&self) -> &Option<DateTime>

The date and time specifying the end of the requested time series data. The value specified is exclusive, which means that data points less than (but not equal to) EndTime are returned.

The value for EndTime must be later than the value for StartTime.

pub fn metric(self, input: impl Into<String>) -> Self

The name of a Performance Insights metric to be measured.

Valid values for Metric are:

• db.load.avg - A scaled representation of the number of active sessions for the database engine.

• db.sampledload.avg - The raw number of active sessions for the database engine.

If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg. For most use cases, you can query db.load.avg only.

This field is required.

pub fn set_metric(self, input: Option<String>) -> Self

The name of a Performance Insights metric to be measured.

Valid values for Metric are:

• db.load.avg - A scaled representation of the number of active sessions for the database engine.

• db.sampledload.avg - The raw number of active sessions for the database engine.

If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg. For most use cases, you can query db.load.avg only.

pub fn get_metric(&self) -> &Option<String>

The name of a Performance Insights metric to be measured.

Valid values for Metric are:

• db.load.avg - A scaled representation of the number of active sessions for the database engine.

• db.sampledload.avg - The raw number of active sessions for the database engine.

If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg. For most use cases, you can query db.load.avg only.

pub fn period_in_seconds(self, input: i32) -> Self

The granularity, in seconds, of the data points returned from Performance Insights. A period can be as short as one second, or as long as one day (86400 seconds). Valid values are:

• 1 (one second)

• 60 (one minute)

• 300 (five minutes)

• 3600 (one hour)

• 86400 (twenty-four hours)

If you don't specify PeriodInSeconds, then Performance Insights chooses a value for you, with a goal of returning roughly 100-200 data points in the response.

pub fn set_period_in_seconds(self, input: Option<i32>) -> Self

The granularity, in seconds, of the data points returned from Performance Insights. A period can be as short as one second, or as long as one day (86400 seconds). Valid values are:

• 1 (one second)

• 60 (one minute)

• 300 (five minutes)

• 3600 (one hour)

• 86400 (twenty-four hours)

If you don't specify PeriodInSeconds, then Performance Insights chooses a value for you, with a goal of returning roughly 100-200 data points in the response.

pub fn get_period_in_seconds(&self) -> &Option<i32>

The granularity, in seconds, of the data points returned from Performance Insights. A period can be as short as one second, or as long as one day (86400 seconds). Valid values are:

• 1 (one second)

• 60 (one minute)

• 300 (five minutes)

• 3600 (one hour)

• 86400 (twenty-four hours)

If you don't specify PeriodInSeconds, then Performance Insights chooses a value for you, with a goal of returning roughly 100-200 data points in the response.

pub fn group_by(self, input: DimensionGroup) -> Self

A specification for how to aggregate the data points from a query result. You must specify a valid dimension group. Performance Insights returns all dimensions within this group, unless you provide the names of specific dimensions within this group. You can also request that Performance Insights return a limited number of values for a dimension.

This field is required.

pub fn set_group_by(self, input: Option<DimensionGroup>) -> Self

A specification for how to aggregate the data points from a query result. You must specify a valid dimension group. Performance Insights returns all dimensions within this group, unless you provide the names of specific dimensions within this group. You can also request that Performance Insights return a limited number of values for a dimension.

pub fn get_group_by(&self) -> &Option<DimensionGroup>

A specification for how to aggregate the data points from a query result. You must specify a valid dimension group. Performance Insights returns all dimensions within this group, unless you provide the names of specific dimensions within this group. You can also request that Performance Insights return a limited number of values for a dimension.

pub fn additional_metrics(self, input: impl Into<String>) -> Self

Appends an item to additional_metrics.

To override the contents of this collection use set_additional_metrics.

Additional metrics for the top N dimension keys. If the specified dimension group in the GroupBy parameter is db.sql_tokenized, you can specify per-SQL metrics to get the values for the top N SQL digests. The response syntax is as follows: "AdditionalMetrics" : { "string" : "string" }.

pub fn set_additional_metrics(self, input: Option<Vec<String>>) -> Self

Additional metrics for the top N dimension keys. If the specified dimension group in the GroupBy parameter is db.sql_tokenized, you can specify per-SQL metrics to get the values for the top N SQL digests. The response syntax is as follows: "AdditionalMetrics" : { "string" : "string" }.

pub fn get_additional_metrics(&self) -> &Option<Vec<String>>

Additional metrics for the top N dimension keys. If the specified dimension group in the GroupBy parameter is db.sql_tokenized, you can specify per-SQL metrics to get the values for the top N SQL digests. The response syntax is as follows: "AdditionalMetrics" : { "string" : "string" }.

pub fn partition_by(self, input: DimensionGroup) -> Self

For each dimension specified in GroupBy, specify a secondary dimension to further subdivide the partition keys in the response.

pub fn set_partition_by(self, input: Option<DimensionGroup>) -> Self

For each dimension specified in GroupBy, specify a secondary dimension to further subdivide the partition keys in the response.

pub fn get_partition_by(&self) -> &Option<DimensionGroup>

For each dimension specified in GroupBy, specify a secondary dimension to further subdivide the partition keys in the response.

pub fn filter(self, k: impl Into<String>, v: impl Into<String>) -> Self

Adds a key-value pair to filter.

To override the contents of this collection use set_filter.

One or more filters to apply in the request. Restrictions:

• Any number of filters by the same dimension, as specified in the GroupBy or Partition parameters.

• A single filter for any other dimension in this dimension group.

pub fn set_filter(self, input: Option<HashMap<String, String>>) -> Self

One or more filters to apply in the request. Restrictions:

• Any number of filters by the same dimension, as specified in the GroupBy or Partition parameters.

• A single filter for any other dimension in this dimension group.

pub fn get_filter(&self) -> &Option<HashMap<String, String>>

One or more filters to apply in the request. Restrictions:

• Any number of filters by the same dimension, as specified in the GroupBy or Partition parameters.

• A single filter for any other dimension in this dimension group.

pub fn max_results(self, input: i32) -> Self

The maximum number of items to return in the response. If more items exist than the specified MaxRecords value, a pagination token is included in the response so that the remaining results can be retrieved.

pub fn set_max_results(self, input: Option<i32>) -> Self

The maximum number of items to return in the response. If more items exist than the specified MaxRecords value, a pagination token is included in the response so that the remaining results can be retrieved.

pub fn get_max_results(&self) -> &Option<i32>

The maximum number of items to return in the response. If more items exist than the specified MaxRecords value, a pagination token is included in the response so that the remaining results can be retrieved.

pub fn next_token(self, input: impl Into<String>) -> Self

An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the token, up to the value specified by MaxRecords.

pub fn set_next_token(self, input: Option<String>) -> Self

An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the token, up to the value specified by MaxRecords.

pub fn get_next_token(&self) -> &Option<String>

An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the token, up to the value specified by MaxRecords.

pub fn build(self) -> Result<DescribeDimensionKeysInput, BuildError>

Consumes the builder and constructs a DescribeDimensionKeysInput.

impl DescribeDimensionKeysInputBuilder

pub async fn send_with( self, client: &Client ) -> Result<DescribeDimensionKeysOutput, SdkError<DescribeDimensionKeysError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for DescribeDimensionKeysInputBuilder

fn clone(&self) -> DescribeDimensionKeysInputBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DescribeDimensionKeysInputBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for DescribeDimensionKeysInputBuilder

fn default() -> DescribeDimensionKeysInputBuilder

Returns the “default value” for a type.

impl PartialEq for DescribeDimensionKeysInputBuilder

fn eq(&self, other: &DescribeDimensionKeysInputBuilder) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for DescribeDimensionKeysInputBuilder