Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.Pi.Types

Contents

Service Configuration
Errors
DetailStatus
FeatureStatus
ServiceType
DataPoint
DimensionDetail
DimensionGroup
DimensionGroupDetail
DimensionKeyDescription
DimensionKeyDetail
FeatureMetadata
MetricDimensionGroups
MetricKeyDataPoints
MetricQuery
ResponsePartitionKey
ResponseResourceMetric
ResponseResourceMetricKey

Description

Synopsis

defaultService :: Service
_InternalServiceError :: AsError a => Fold a ServiceError
_InvalidArgumentException :: AsError a => Fold a ServiceError
_NotAuthorizedException :: AsError a => Fold a ServiceError
newtype DetailStatus where
- DetailStatus' {
  - fromDetailStatus :: Text
  }
- pattern DetailStatus_AVAILABLE :: DetailStatus
- pattern DetailStatus_PROCESSING :: DetailStatus
- pattern DetailStatus_UNAVAILABLE :: DetailStatus
newtype FeatureStatus where
- FeatureStatus' {
  - fromFeatureStatus :: Text
  }
- pattern FeatureStatus_DISABLED :: FeatureStatus
- pattern FeatureStatus_DISABLED_PENDING_REBOOT :: FeatureStatus
- pattern FeatureStatus_ENABLED :: FeatureStatus
- pattern FeatureStatus_ENABLED_PENDING_REBOOT :: FeatureStatus
- pattern FeatureStatus_UNKNOWN :: FeatureStatus
- pattern FeatureStatus_UNSUPPORTED :: FeatureStatus
newtype ServiceType where
- ServiceType' {
  - fromServiceType :: Text
  }
- pattern ServiceType_DOCDB :: ServiceType
- pattern ServiceType_RDS :: ServiceType
data DataPoint = DataPoint' {
- timestamp :: POSIX
- value :: Double
}
newDataPoint :: UTCTime -> Double -> DataPoint
dataPoint_timestamp :: Lens' DataPoint UTCTime
dataPoint_value :: Lens' DataPoint Double
data DimensionDetail = DimensionDetail' {
- identifier :: Maybe Text
}
newDimensionDetail :: DimensionDetail
dimensionDetail_identifier :: Lens' DimensionDetail (Maybe Text)
data DimensionGroup = DimensionGroup' {
- dimensions :: Maybe (NonEmpty Text)
- limit :: Maybe Natural
- group' :: Text
}
newDimensionGroup :: Text -> DimensionGroup
dimensionGroup_dimensions :: Lens' DimensionGroup (Maybe (NonEmpty Text))
dimensionGroup_limit :: Lens' DimensionGroup (Maybe Natural)
dimensionGroup_group :: Lens' DimensionGroup Text
data DimensionGroupDetail = DimensionGroupDetail' {
- dimensions :: Maybe [DimensionDetail]
- group' :: Maybe Text
}
newDimensionGroupDetail :: DimensionGroupDetail
dimensionGroupDetail_dimensions :: Lens' DimensionGroupDetail (Maybe [DimensionDetail])
dimensionGroupDetail_group :: Lens' DimensionGroupDetail (Maybe Text)
data DimensionKeyDescription = DimensionKeyDescription' {
- additionalMetrics :: Maybe (HashMap Text Double)
- dimensions :: Maybe (HashMap Text Text)
- partitions :: Maybe [Double]
- total :: Maybe Double
}
newDimensionKeyDescription :: DimensionKeyDescription
dimensionKeyDescription_additionalMetrics :: Lens' DimensionKeyDescription (Maybe (HashMap Text Double))
dimensionKeyDescription_dimensions :: Lens' DimensionKeyDescription (Maybe (HashMap Text Text))
dimensionKeyDescription_partitions :: Lens' DimensionKeyDescription (Maybe [Double])
dimensionKeyDescription_total :: Lens' DimensionKeyDescription (Maybe Double)
data DimensionKeyDetail = DimensionKeyDetail' {
- dimension :: Maybe Text
- status :: Maybe DetailStatus
- value :: Maybe Text
}
newDimensionKeyDetail :: DimensionKeyDetail
dimensionKeyDetail_dimension :: Lens' DimensionKeyDetail (Maybe Text)
dimensionKeyDetail_status :: Lens' DimensionKeyDetail (Maybe DetailStatus)
dimensionKeyDetail_value :: Lens' DimensionKeyDetail (Maybe Text)
data FeatureMetadata = FeatureMetadata' {
- status :: Maybe FeatureStatus
}
newFeatureMetadata :: FeatureMetadata
featureMetadata_status :: Lens' FeatureMetadata (Maybe FeatureStatus)
data MetricDimensionGroups = MetricDimensionGroups' {
- groups :: Maybe [DimensionGroupDetail]
- metric :: Maybe Text
}
newMetricDimensionGroups :: MetricDimensionGroups
metricDimensionGroups_groups :: Lens' MetricDimensionGroups (Maybe [DimensionGroupDetail])
metricDimensionGroups_metric :: Lens' MetricDimensionGroups (Maybe Text)
data MetricKeyDataPoints = MetricKeyDataPoints' {
- dataPoints :: Maybe [DataPoint]
- key :: Maybe ResponseResourceMetricKey
}
newMetricKeyDataPoints :: MetricKeyDataPoints
metricKeyDataPoints_dataPoints :: Lens' MetricKeyDataPoints (Maybe [DataPoint])
metricKeyDataPoints_key :: Lens' MetricKeyDataPoints (Maybe ResponseResourceMetricKey)
data MetricQuery = MetricQuery' {
- filter' :: Maybe (HashMap Text Text)
- groupBy :: Maybe DimensionGroup
- metric :: Text
}
newMetricQuery :: Text -> MetricQuery
metricQuery_filter :: Lens' MetricQuery (Maybe (HashMap Text Text))
metricQuery_groupBy :: Lens' MetricQuery (Maybe DimensionGroup)
metricQuery_metric :: Lens' MetricQuery Text
data ResponsePartitionKey = ResponsePartitionKey' {
- dimensions :: HashMap Text Text
}
newResponsePartitionKey :: ResponsePartitionKey
responsePartitionKey_dimensions :: Lens' ResponsePartitionKey (HashMap Text Text)
data ResponseResourceMetric = ResponseResourceMetric' {
- description :: Maybe Text
- metric :: Maybe Text
- unit :: Maybe Text
}
newResponseResourceMetric :: ResponseResourceMetric
responseResourceMetric_description :: Lens' ResponseResourceMetric (Maybe Text)
responseResourceMetric_metric :: Lens' ResponseResourceMetric (Maybe Text)
responseResourceMetric_unit :: Lens' ResponseResourceMetric (Maybe Text)
data ResponseResourceMetricKey = ResponseResourceMetricKey' {
- dimensions :: Maybe (HashMap Text Text)
- metric :: Text
}
newResponseResourceMetricKey :: Text -> ResponseResourceMetricKey
responseResourceMetricKey_dimensions :: Lens' ResponseResourceMetricKey (Maybe (HashMap Text Text))
responseResourceMetricKey_metric :: Lens' ResponseResourceMetricKey Text

Service Configuration

defaultService :: Service Source #

API version 2018-02-27 of the Amazon Performance Insights SDK configuration.

Errors

_InternalServiceError :: AsError a => Fold a ServiceError Source #

The request failed due to an unknown error.

_InvalidArgumentException :: AsError a => Fold a ServiceError Source #

One of the arguments provided is invalid for this request.

_NotAuthorizedException :: AsError a => Fold a ServiceError Source #

The user is not authorized to perform this request.

DetailStatus

newtype DetailStatus Source #

Constructors

DetailStatus'
Fields fromDetailStatus :: Text

Bundled Patterns

pattern DetailStatus_AVAILABLE :: DetailStatus
pattern DetailStatus_PROCESSING :: DetailStatus
pattern DetailStatus_UNAVAILABLE :: DetailStatus

Instances

Instances details

FromJSON DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods parseJSON :: Value -> Parser DetailStatus # parseJSONList :: Value -> Parser [DetailStatus] #
FromJSONKey DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods fromJSONKey :: FromJSONKeyFunction DetailStatus # fromJSONKeyList :: FromJSONKeyFunction [DetailStatus] #
ToJSON DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods toJSON :: DetailStatus -> Value # toEncoding :: DetailStatus -> Encoding # toJSONList :: [DetailStatus] -> Value # toEncodingList :: [DetailStatus] -> Encoding #
ToJSONKey DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods toJSONKey :: ToJSONKeyFunction DetailStatus # toJSONKeyList :: ToJSONKeyFunction [DetailStatus] #
ToByteString DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods toBS :: DetailStatus -> ByteString #
ToHeader DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods toHeader :: HeaderName -> DetailStatus -> [Header] #
ToLog DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods build :: DetailStatus -> ByteStringBuilder #
ToQuery DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods toQuery :: DetailStatus -> QueryString #
FromText DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods fromText :: Text -> Either String DetailStatus #
ToText DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods toText :: DetailStatus -> Text #
FromXML DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods parseXML :: [Node] -> Either String DetailStatus #
ToXML DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods toXML :: DetailStatus -> XML #
Generic DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Associated Types type Rep DetailStatus :: Type -> Type # Methods from :: DetailStatus -> Rep DetailStatus x # to :: Rep DetailStatus x -> DetailStatus #
Read DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods readsPrec :: Int -> ReadS DetailStatus # readList :: ReadS [DetailStatus] # readPrec :: ReadPrec DetailStatus # readListPrec :: ReadPrec [DetailStatus] #
Show DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods showsPrec :: Int -> DetailStatus -> ShowS # show :: DetailStatus -> String # showList :: [DetailStatus] -> ShowS #
NFData DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods rnf :: DetailStatus -> () #
Eq DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods (==) :: DetailStatus -> DetailStatus -> Bool # (/=) :: DetailStatus -> DetailStatus -> Bool #
Ord DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods compare :: DetailStatus -> DetailStatus -> Ordering # (<) :: DetailStatus -> DetailStatus -> Bool # (<=) :: DetailStatus -> DetailStatus -> Bool # (>) :: DetailStatus -> DetailStatus -> Bool # (>=) :: DetailStatus -> DetailStatus -> Bool # max :: DetailStatus -> DetailStatus -> DetailStatus # min :: DetailStatus -> DetailStatus -> DetailStatus #
Hashable DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus Methods hashWithSalt :: Int -> DetailStatus -> Int # hash :: DetailStatus -> Int #
type Rep DetailStatus Source #
Instance details Defined in Amazonka.Pi.Types.DetailStatus type Rep DetailStatus = D1 ('MetaData "DetailStatus" "Amazonka.Pi.Types.DetailStatus" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'True) (C1 ('MetaCons "DetailStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDetailStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FeatureStatus

newtype FeatureStatus Source #

Constructors

FeatureStatus'
Fields fromFeatureStatus :: Text

Bundled Patterns

pattern FeatureStatus_DISABLED :: FeatureStatus
pattern FeatureStatus_DISABLED_PENDING_REBOOT :: FeatureStatus
pattern FeatureStatus_ENABLED :: FeatureStatus
pattern FeatureStatus_ENABLED_PENDING_REBOOT :: FeatureStatus
pattern FeatureStatus_UNKNOWN :: FeatureStatus
pattern FeatureStatus_UNSUPPORTED :: FeatureStatus

Instances

Instances details

FromJSON FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods parseJSON :: Value -> Parser FeatureStatus # parseJSONList :: Value -> Parser [FeatureStatus] #
FromJSONKey FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods fromJSONKey :: FromJSONKeyFunction FeatureStatus # fromJSONKeyList :: FromJSONKeyFunction [FeatureStatus] #
ToJSON FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods toJSON :: FeatureStatus -> Value # toEncoding :: FeatureStatus -> Encoding # toJSONList :: [FeatureStatus] -> Value # toEncodingList :: [FeatureStatus] -> Encoding #
ToJSONKey FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods toJSONKey :: ToJSONKeyFunction FeatureStatus # toJSONKeyList :: ToJSONKeyFunction [FeatureStatus] #
ToByteString FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods toBS :: FeatureStatus -> ByteString #
ToHeader FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods toHeader :: HeaderName -> FeatureStatus -> [Header] #
ToLog FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods build :: FeatureStatus -> ByteStringBuilder #
ToQuery FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods toQuery :: FeatureStatus -> QueryString #
FromText FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods fromText :: Text -> Either String FeatureStatus #
ToText FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods toText :: FeatureStatus -> Text #
FromXML FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods parseXML :: [Node] -> Either String FeatureStatus #
ToXML FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods toXML :: FeatureStatus -> XML #
Generic FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Associated Types type Rep FeatureStatus :: Type -> Type # Methods from :: FeatureStatus -> Rep FeatureStatus x # to :: Rep FeatureStatus x -> FeatureStatus #
Read FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods readsPrec :: Int -> ReadS FeatureStatus # readList :: ReadS [FeatureStatus] # readPrec :: ReadPrec FeatureStatus # readListPrec :: ReadPrec [FeatureStatus] #
Show FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods showsPrec :: Int -> FeatureStatus -> ShowS # show :: FeatureStatus -> String # showList :: [FeatureStatus] -> ShowS #
NFData FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods rnf :: FeatureStatus -> () #
Eq FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods (==) :: FeatureStatus -> FeatureStatus -> Bool # (/=) :: FeatureStatus -> FeatureStatus -> Bool #
Ord FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods compare :: FeatureStatus -> FeatureStatus -> Ordering # (<) :: FeatureStatus -> FeatureStatus -> Bool # (<=) :: FeatureStatus -> FeatureStatus -> Bool # (>) :: FeatureStatus -> FeatureStatus -> Bool # (>=) :: FeatureStatus -> FeatureStatus -> Bool # max :: FeatureStatus -> FeatureStatus -> FeatureStatus # min :: FeatureStatus -> FeatureStatus -> FeatureStatus #
Hashable FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus Methods hashWithSalt :: Int -> FeatureStatus -> Int # hash :: FeatureStatus -> Int #
type Rep FeatureStatus Source #
Instance details Defined in Amazonka.Pi.Types.FeatureStatus type Rep FeatureStatus = D1 ('MetaData "FeatureStatus" "Amazonka.Pi.Types.FeatureStatus" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'True) (C1 ('MetaCons "FeatureStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFeatureStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ServiceType

newtype ServiceType Source #

Constructors

ServiceType'
Fields fromServiceType :: Text

Bundled Patterns

pattern ServiceType_DOCDB :: ServiceType
pattern ServiceType_RDS :: ServiceType

Instances

Instances details

FromJSON ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods parseJSON :: Value -> Parser ServiceType # parseJSONList :: Value -> Parser [ServiceType] #
FromJSONKey ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods fromJSONKey :: FromJSONKeyFunction ServiceType # fromJSONKeyList :: FromJSONKeyFunction [ServiceType] #
ToJSON ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods toJSON :: ServiceType -> Value # toEncoding :: ServiceType -> Encoding # toJSONList :: [ServiceType] -> Value # toEncodingList :: [ServiceType] -> Encoding #
ToJSONKey ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods toJSONKey :: ToJSONKeyFunction ServiceType # toJSONKeyList :: ToJSONKeyFunction [ServiceType] #
ToByteString ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods toBS :: ServiceType -> ByteString #
ToHeader ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods toHeader :: HeaderName -> ServiceType -> [Header] #
ToLog ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods build :: ServiceType -> ByteStringBuilder #
ToQuery ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods toQuery :: ServiceType -> QueryString #
FromText ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods fromText :: Text -> Either String ServiceType #
ToText ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods toText :: ServiceType -> Text #
FromXML ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods parseXML :: [Node] -> Either String ServiceType #
ToXML ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods toXML :: ServiceType -> XML #
Generic ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Associated Types type Rep ServiceType :: Type -> Type # Methods from :: ServiceType -> Rep ServiceType x # to :: Rep ServiceType x -> ServiceType #
Read ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods readsPrec :: Int -> ReadS ServiceType # readList :: ReadS [ServiceType] # readPrec :: ReadPrec ServiceType # readListPrec :: ReadPrec [ServiceType] #
Show ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods showsPrec :: Int -> ServiceType -> ShowS # show :: ServiceType -> String # showList :: [ServiceType] -> ShowS #
NFData ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods rnf :: ServiceType -> () #
Eq ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods (==) :: ServiceType -> ServiceType -> Bool # (/=) :: ServiceType -> ServiceType -> Bool #
Ord ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods compare :: ServiceType -> ServiceType -> Ordering # (<) :: ServiceType -> ServiceType -> Bool # (<=) :: ServiceType -> ServiceType -> Bool # (>) :: ServiceType -> ServiceType -> Bool # (>=) :: ServiceType -> ServiceType -> Bool # max :: ServiceType -> ServiceType -> ServiceType # min :: ServiceType -> ServiceType -> ServiceType #
Hashable ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType Methods hashWithSalt :: Int -> ServiceType -> Int # hash :: ServiceType -> Int #
type Rep ServiceType Source #
Instance details Defined in Amazonka.Pi.Types.ServiceType type Rep ServiceType = D1 ('MetaData "ServiceType" "Amazonka.Pi.Types.ServiceType" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'True) (C1 ('MetaCons "ServiceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromServiceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DataPoint

data DataPoint Source #

A timestamp, and a single numerical value, which together represent a measurement at a particular point in time.

See: newDataPoint smart constructor.

Constructors

DataPoint'
Fields timestamp :: POSIX The time, in epoch format, associated with a particular `Value`. value :: Double The actual value associated with a particular `Timestamp`.

Instances

Instances details

FromJSON DataPoint Source #
Instance details Defined in Amazonka.Pi.Types.DataPoint Methods parseJSON :: Value -> Parser DataPoint # parseJSONList :: Value -> Parser [DataPoint] #
Generic DataPoint Source #
Instance details Defined in Amazonka.Pi.Types.DataPoint Associated Types type Rep DataPoint :: Type -> Type # Methods from :: DataPoint -> Rep DataPoint x # to :: Rep DataPoint x -> DataPoint #
Read DataPoint Source #
Instance details Defined in Amazonka.Pi.Types.DataPoint Methods readsPrec :: Int -> ReadS DataPoint # readList :: ReadS [DataPoint] # readPrec :: ReadPrec DataPoint # readListPrec :: ReadPrec [DataPoint] #
Show DataPoint Source #
Instance details Defined in Amazonka.Pi.Types.DataPoint Methods showsPrec :: Int -> DataPoint -> ShowS # show :: DataPoint -> String # showList :: [DataPoint] -> ShowS #
NFData DataPoint Source #
Instance details Defined in Amazonka.Pi.Types.DataPoint Methods rnf :: DataPoint -> () #
Eq DataPoint Source #
Instance details Defined in Amazonka.Pi.Types.DataPoint Methods (==) :: DataPoint -> DataPoint -> Bool # (/=) :: DataPoint -> DataPoint -> Bool #
Hashable DataPoint Source #
Instance details Defined in Amazonka.Pi.Types.DataPoint Methods hashWithSalt :: Int -> DataPoint -> Int # hash :: DataPoint -> Int #
type Rep DataPoint Source #
Instance details Defined in Amazonka.Pi.Types.DataPoint type Rep DataPoint = D1 ('MetaData "DataPoint" "Amazonka.Pi.Types.DataPoint" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "DataPoint'" 'PrefixI 'True) (S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double)))

newDataPoint Source #

Arguments

:: UTCTime	`$sel:timestamp:DataPoint'`
-> Double	`$sel:value:DataPoint'`
-> DataPoint

Create a value of DataPoint with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:timestamp:DataPoint', dataPoint_timestamp - The time, in epoch format, associated with a particular Value.

$sel:value:DataPoint', dataPoint_value - The actual value associated with a particular Timestamp.

dataPoint_timestamp :: Lens' DataPoint UTCTime Source #

The time, in epoch format, associated with a particular Value.

dataPoint_value :: Lens' DataPoint Double Source #

The actual value associated with a particular Timestamp.

DimensionDetail

data DimensionDetail Source #

The information about a dimension.

See: newDimensionDetail smart constructor.

Constructors

DimensionDetail'
Fields identifier :: Maybe Text The identifier of a dimension.

Instances

Instances details

FromJSON DimensionDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionDetail Methods parseJSON :: Value -> Parser DimensionDetail # parseJSONList :: Value -> Parser [DimensionDetail] #
Generic DimensionDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionDetail Associated Types type Rep DimensionDetail :: Type -> Type # Methods from :: DimensionDetail -> Rep DimensionDetail x # to :: Rep DimensionDetail x -> DimensionDetail #
Read DimensionDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionDetail Methods readsPrec :: Int -> ReadS DimensionDetail # readList :: ReadS [DimensionDetail] # readPrec :: ReadPrec DimensionDetail # readListPrec :: ReadPrec [DimensionDetail] #
Show DimensionDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionDetail Methods showsPrec :: Int -> DimensionDetail -> ShowS # show :: DimensionDetail -> String # showList :: [DimensionDetail] -> ShowS #
NFData DimensionDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionDetail Methods rnf :: DimensionDetail -> () #
Eq DimensionDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionDetail Methods (==) :: DimensionDetail -> DimensionDetail -> Bool # (/=) :: DimensionDetail -> DimensionDetail -> Bool #
Hashable DimensionDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionDetail Methods hashWithSalt :: Int -> DimensionDetail -> Int # hash :: DimensionDetail -> Int #
type Rep DimensionDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionDetail type Rep DimensionDetail = D1 ('MetaData "DimensionDetail" "Amazonka.Pi.Types.DimensionDetail" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "DimensionDetail'" 'PrefixI 'True) (S1 ('MetaSel ('Just "identifier") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newDimensionDetail :: DimensionDetail Source #

Create a value of DimensionDetail with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:identifier:DimensionDetail', dimensionDetail_identifier - The identifier of a dimension.

dimensionDetail_identifier :: Lens' DimensionDetail (Maybe Text) Source #

The identifier of a dimension.

DimensionGroup

data DimensionGroup Source #

A logical grouping of Performance Insights metrics for a related subject area. For example, the db.sql dimension group consists of the following dimensions:

db.sql.id - The hash of a running SQL statement, generated by Performance Insights.
db.sql.db_id - Either the SQL ID generated by the database engine, or a value generated by Performance Insights that begins with pi-.
db.sql.statement - The full text of the SQL statement that is running, for example, SELECT * FROM employees.
db.sql_tokenized.id - The hash of the SQL digest generated by Performance Insights.

Each response element returns a maximum of 500 bytes. For larger elements, such as SQL statements, only the first 500 bytes are returned.

See: newDimensionGroup smart constructor.

Constructors

DimensionGroup'

Fields

dimensions :: Maybe (NonEmpty Text)
A list of specific dimensions from a dimension group. If this parameter is not present, then it signifies that all of the dimensions in the group were requested, or are present in the response.
Valid values for elements in the Dimensions array are:
- db.application.name - The name of the application that is connected to the database. Valid values are as follows:
  - Aurora PostgreSQL
  - Amazon RDS PostgreSQL
  - Amazon DocumentDB
- db.host.id - The host ID of the connected client (all engines).
- db.host.name - The host name of the connected client (all engines).
- db.name - The name of the database to which the client is connected. Valid values are as follows:
  - Aurora PostgreSQL
  - Amazon RDS PostgreSQL
  - Aurora MySQL
  - Amazon RDS MySQL
  - Amazon RDS MariaDB
  - Amazon DocumentDB
- db.query.id - The query ID generated by Performance Insights (only Amazon DocumentDB).
- db.query.db_id - The query ID generated by the database (only Amazon DocumentDB).
- db.query.statement - The text of the query that is being run (only Amazon DocumentDB).
- ```
db.query.tokenized_id
```
- db.query.tokenized.id - The query digest ID generated by Performance Insights (only Amazon DocumentDB).
- db.query.tokenized.db_id - The query digest ID generated by Performance Insights (only Amazon DocumentDB).
- db.query.tokenized.statement - The text of the query digest (only Amazon DocumentDB).
- db.session_type.name - The type of the current session (only Amazon DocumentDB).
- db.sql.id - The hash of the full, non-tokenized SQL statement generated by Performance Insights (all engines except Amazon DocumentDB).
- db.sql.db_id - Either the SQL ID generated by the database engine, or a value generated by Performance Insights that begins with pi- (all engines except Amazon DocumentDB).
- db.sql.statement - The full text of the SQL statement that is running, as in SELECT * FROM employees (all engines except Amazon DocumentDB)
- ```
db.sql.tokenized_id
```
- db.sql_tokenized.id - The hash of the SQL digest generated by Performance Insights (all engines except Amazon DocumentDB). In the console, db.sql_tokenized.id is called the Support ID because Amazon Web Services Support can look at this data to help you troubleshoot database issues.
- db.sql_tokenized.db_id - Either the native database ID used to refer to the SQL statement, or a synthetic ID such as pi-2372568224 that Performance Insights generates if the native database ID isn't available (all engines except Amazon DocumentDB).
- db.sql_tokenized.statement - The text of the SQL digest, as in SELECT * FROM employees WHERE employee_id = ? (all engines except Amazon DocumentDB)
- db.user.id - The ID of the user logged in to the database (all engines except Amazon DocumentDB).
- db.user.name - The name of the user logged in to the database (all engines except Amazon DocumentDB).
- db.wait_event.name - The event for which the backend is waiting (all engines except Amazon DocumentDB).
- db.wait_event.type - The type of event for which the backend is waiting (all engines except Amazon DocumentDB).
- db.wait_event_type.name - The name of the event type for which the backend is waiting (all engines except Amazon DocumentDB).
- db.wait_state.name - The event for which the backend is waiting (only Amazon DocumentDB).
limit :: Maybe Natural
The maximum number of items to fetch for this dimension group.
group' :: Text
The name of the dimension group. Valid values are as follows:
- db - The name of the database to which the client is connected. The following values are permitted:
  - Aurora PostgreSQL
  - Amazon RDS PostgreSQL
  - Aurora MySQL
  - Amazon RDS MySQL
  - Amazon RDS MariaDB
  - Amazon DocumentDB
- db.application - The name of the application that is connected to the database. The following values are permitted:
  - Aurora PostgreSQL
  - Amazon RDS PostgreSQL
  - Amazon DocumentDB
- db.host - The host name of the connected client (all engines).
- db.query - The query that is currently running (only Amazon DocumentDB).
- db.query_tokenized - The digest query (only Amazon DocumentDB).
- db.session_type - The type of the current session (only Aurora PostgreSQL and RDS PostgreSQL).
- db.sql - The text of the SQL statement that is currently running (all engines except Amazon DocumentDB).
- db.sql_tokenized - The SQL digest (all engines except Amazon DocumentDB).
- db.user - The user logged in to the database (all engines except Amazon DocumentDB).
- db.wait_event - The event for which the database backend is waiting (all engines except Amazon DocumentDB).
- db.wait_event_type - The type of event for which the database backend is waiting (all engines except Amazon DocumentDB).
- db.wait_state - The event for which the database backend is waiting (only Amazon DocumentDB).

Instances

Instances details

ToJSON DimensionGroup Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroup Methods toJSON :: DimensionGroup -> Value # toEncoding :: DimensionGroup -> Encoding # toJSONList :: [DimensionGroup] -> Value # toEncodingList :: [DimensionGroup] -> Encoding #
Generic DimensionGroup Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroup Associated Types type Rep DimensionGroup :: Type -> Type # Methods from :: DimensionGroup -> Rep DimensionGroup x # to :: Rep DimensionGroup x -> DimensionGroup #
Read DimensionGroup Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroup Methods readsPrec :: Int -> ReadS DimensionGroup # readList :: ReadS [DimensionGroup] # readPrec :: ReadPrec DimensionGroup # readListPrec :: ReadPrec [DimensionGroup] #
Show DimensionGroup Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroup Methods showsPrec :: Int -> DimensionGroup -> ShowS # show :: DimensionGroup -> String # showList :: [DimensionGroup] -> ShowS #
NFData DimensionGroup Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroup Methods rnf :: DimensionGroup -> () #
Eq DimensionGroup Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroup Methods (==) :: DimensionGroup -> DimensionGroup -> Bool # (/=) :: DimensionGroup -> DimensionGroup -> Bool #
Hashable DimensionGroup Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroup Methods hashWithSalt :: Int -> DimensionGroup -> Int # hash :: DimensionGroup -> Int #
type Rep DimensionGroup Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroup type Rep DimensionGroup = D1 ('MetaData "DimensionGroup" "Amazonka.Pi.Types.DimensionGroup" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "DimensionGroup'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dimensions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: (S1 ('MetaSel ('Just "limit") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "group'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDimensionGroup Source #

Arguments

:: Text	`$sel:group':DimensionGroup'`
-> DimensionGroup

Create a value of DimensionGroup with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dimensions:DimensionGroup', dimensionGroup_dimensions - A list of specific dimensions from a dimension group. If this parameter is not present, then it signifies that all of the dimensions in the group were requested, or are present in the response.

Valid values for elements in the Dimensions array are:

db.application.name - The name of the application that is connected to the database. Valid values are as follows:
- Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Amazon DocumentDB
db.host.id - The host ID of the connected client (all engines).
db.host.name - The host name of the connected client (all engines).
db.name - The name of the database to which the client is connected. Valid values are as follows:
- Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Aurora MySQL
- Amazon RDS MySQL
- Amazon RDS MariaDB
- Amazon DocumentDB
db.query.id - The query ID generated by Performance Insights (only Amazon DocumentDB).
db.query.db_id - The query ID generated by the database (only Amazon DocumentDB).
db.query.statement - The text of the query that is being run (only Amazon DocumentDB).
```
db.query.tokenized_id
```
db.query.tokenized.id - The query digest ID generated by Performance Insights (only Amazon DocumentDB).
db.query.tokenized.db_id - The query digest ID generated by Performance Insights (only Amazon DocumentDB).
db.query.tokenized.statement - The text of the query digest (only Amazon DocumentDB).
db.session_type.name - The type of the current session (only Amazon DocumentDB).
db.sql.id - The hash of the full, non-tokenized SQL statement generated by Performance Insights (all engines except Amazon DocumentDB).
db.sql.db_id - Either the SQL ID generated by the database engine, or a value generated by Performance Insights that begins with pi- (all engines except Amazon DocumentDB).
db.sql.statement - The full text of the SQL statement that is running, as in SELECT * FROM employees (all engines except Amazon DocumentDB)
```
db.sql.tokenized_id
```
db.sql_tokenized.id - The hash of the SQL digest generated by Performance Insights (all engines except Amazon DocumentDB). In the console, db.sql_tokenized.id is called the Support ID because Amazon Web Services Support can look at this data to help you troubleshoot database issues.
db.sql_tokenized.db_id - Either the native database ID used to refer to the SQL statement, or a synthetic ID such as pi-2372568224 that Performance Insights generates if the native database ID isn't available (all engines except Amazon DocumentDB).
db.sql_tokenized.statement - The text of the SQL digest, as in SELECT * FROM employees WHERE employee_id = ? (all engines except Amazon DocumentDB)
db.user.id - The ID of the user logged in to the database (all engines except Amazon DocumentDB).
db.user.name - The name of the user logged in to the database (all engines except Amazon DocumentDB).
db.wait_event.name - The event for which the backend is waiting (all engines except Amazon DocumentDB).
db.wait_event.type - The type of event for which the backend is waiting (all engines except Amazon DocumentDB).
db.wait_event_type.name - The name of the event type for which the backend is waiting (all engines except Amazon DocumentDB).
db.wait_state.name - The event for which the backend is waiting (only Amazon DocumentDB).

$sel:limit:DimensionGroup', dimensionGroup_limit - The maximum number of items to fetch for this dimension group.

$sel:group':DimensionGroup', dimensionGroup_group - The name of the dimension group. Valid values are as follows:

db - The name of the database to which the client is connected. The following values are permitted:
- Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Aurora MySQL
- Amazon RDS MySQL
- Amazon RDS MariaDB
- Amazon DocumentDB
db.application - The name of the application that is connected to the database. The following values are permitted:
- Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Amazon DocumentDB
db.host - The host name of the connected client (all engines).
db.query - The query that is currently running (only Amazon DocumentDB).
db.query_tokenized - The digest query (only Amazon DocumentDB).
db.session_type - The type of the current session (only Aurora PostgreSQL and RDS PostgreSQL).
db.sql - The text of the SQL statement that is currently running (all engines except Amazon DocumentDB).
db.sql_tokenized - The SQL digest (all engines except Amazon DocumentDB).
db.user - The user logged in to the database (all engines except Amazon DocumentDB).
db.wait_event - The event for which the database backend is waiting (all engines except Amazon DocumentDB).
db.wait_event_type - The type of event for which the database backend is waiting (all engines except Amazon DocumentDB).
db.wait_state - The event for which the database backend is waiting (only Amazon DocumentDB).

dimensionGroup_dimensions :: Lens' DimensionGroup (Maybe (NonEmpty Text)) Source #

A list of specific dimensions from a dimension group. If this parameter is not present, then it signifies that all of the dimensions in the group were requested, or are present in the response.

Valid values for elements in the Dimensions array are:

db.application.name - The name of the application that is connected to the database. Valid values are as follows:
- Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Amazon DocumentDB
db.host.id - The host ID of the connected client (all engines).
db.host.name - The host name of the connected client (all engines).
db.name - The name of the database to which the client is connected. Valid values are as follows:
- Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Aurora MySQL
- Amazon RDS MySQL
- Amazon RDS MariaDB
- Amazon DocumentDB
db.query.id - The query ID generated by Performance Insights (only Amazon DocumentDB).
db.query.db_id - The query ID generated by the database (only Amazon DocumentDB).
db.query.statement - The text of the query that is being run (only Amazon DocumentDB).
```
db.query.tokenized_id
```
db.query.tokenized.id - The query digest ID generated by Performance Insights (only Amazon DocumentDB).
db.query.tokenized.db_id - The query digest ID generated by Performance Insights (only Amazon DocumentDB).
db.query.tokenized.statement - The text of the query digest (only Amazon DocumentDB).
db.session_type.name - The type of the current session (only Amazon DocumentDB).
db.sql.id - The hash of the full, non-tokenized SQL statement generated by Performance Insights (all engines except Amazon DocumentDB).
db.sql.db_id - Either the SQL ID generated by the database engine, or a value generated by Performance Insights that begins with pi- (all engines except Amazon DocumentDB).
db.sql.statement - The full text of the SQL statement that is running, as in SELECT * FROM employees (all engines except Amazon DocumentDB)
```
db.sql.tokenized_id
```
db.sql_tokenized.id - The hash of the SQL digest generated by Performance Insights (all engines except Amazon DocumentDB). In the console, db.sql_tokenized.id is called the Support ID because Amazon Web Services Support can look at this data to help you troubleshoot database issues.
db.sql_tokenized.db_id - Either the native database ID used to refer to the SQL statement, or a synthetic ID such as pi-2372568224 that Performance Insights generates if the native database ID isn't available (all engines except Amazon DocumentDB).
db.sql_tokenized.statement - The text of the SQL digest, as in SELECT * FROM employees WHERE employee_id = ? (all engines except Amazon DocumentDB)
db.user.id - The ID of the user logged in to the database (all engines except Amazon DocumentDB).
db.user.name - The name of the user logged in to the database (all engines except Amazon DocumentDB).
db.wait_event.name - The event for which the backend is waiting (all engines except Amazon DocumentDB).
db.wait_event.type - The type of event for which the backend is waiting (all engines except Amazon DocumentDB).
db.wait_event_type.name - The name of the event type for which the backend is waiting (all engines except Amazon DocumentDB).
db.wait_state.name - The event for which the backend is waiting (only Amazon DocumentDB).

dimensionGroup_limit :: Lens' DimensionGroup (Maybe Natural) Source #

The maximum number of items to fetch for this dimension group.

dimensionGroup_group :: Lens' DimensionGroup Text Source #

The name of the dimension group. Valid values are as follows:

db - The name of the database to which the client is connected. The following values are permitted:
- Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Aurora MySQL
- Amazon RDS MySQL
- Amazon RDS MariaDB
- Amazon DocumentDB
db.application - The name of the application that is connected to the database. The following values are permitted:
- Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Amazon DocumentDB
db.host - The host name of the connected client (all engines).
db.query - The query that is currently running (only Amazon DocumentDB).
db.query_tokenized - The digest query (only Amazon DocumentDB).
db.session_type - The type of the current session (only Aurora PostgreSQL and RDS PostgreSQL).
db.sql - The text of the SQL statement that is currently running (all engines except Amazon DocumentDB).
db.sql_tokenized - The SQL digest (all engines except Amazon DocumentDB).
db.user - The user logged in to the database (all engines except Amazon DocumentDB).
db.wait_event - The event for which the database backend is waiting (all engines except Amazon DocumentDB).
db.wait_event_type - The type of event for which the database backend is waiting (all engines except Amazon DocumentDB).
db.wait_state - The event for which the database backend is waiting (only Amazon DocumentDB).

DimensionGroupDetail

data DimensionGroupDetail Source #

Information about dimensions within a dimension group.

See: newDimensionGroupDetail smart constructor.

Constructors

DimensionGroupDetail'
Fields dimensions :: Maybe [DimensionDetail] The dimensions within a dimension group. group' :: Maybe Text The name of the dimension group.

Instances

Instances details

FromJSON DimensionGroupDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroupDetail Methods parseJSON :: Value -> Parser DimensionGroupDetail # parseJSONList :: Value -> Parser [DimensionGroupDetail] #
Generic DimensionGroupDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroupDetail Associated Types type Rep DimensionGroupDetail :: Type -> Type # Methods from :: DimensionGroupDetail -> Rep DimensionGroupDetail x # to :: Rep DimensionGroupDetail x -> DimensionGroupDetail #
Read DimensionGroupDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroupDetail Methods readsPrec :: Int -> ReadS DimensionGroupDetail # readList :: ReadS [DimensionGroupDetail] # readPrec :: ReadPrec DimensionGroupDetail # readListPrec :: ReadPrec [DimensionGroupDetail] #
Show DimensionGroupDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroupDetail Methods showsPrec :: Int -> DimensionGroupDetail -> ShowS # show :: DimensionGroupDetail -> String # showList :: [DimensionGroupDetail] -> ShowS #
NFData DimensionGroupDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroupDetail Methods rnf :: DimensionGroupDetail -> () #
Eq DimensionGroupDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroupDetail Methods (==) :: DimensionGroupDetail -> DimensionGroupDetail -> Bool # (/=) :: DimensionGroupDetail -> DimensionGroupDetail -> Bool #
Hashable DimensionGroupDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroupDetail Methods hashWithSalt :: Int -> DimensionGroupDetail -> Int # hash :: DimensionGroupDetail -> Int #
type Rep DimensionGroupDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionGroupDetail type Rep DimensionGroupDetail = D1 ('MetaData "DimensionGroupDetail" "Amazonka.Pi.Types.DimensionGroupDetail" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "DimensionGroupDetail'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dimensions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DimensionDetail])) :*: S1 ('MetaSel ('Just "group'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newDimensionGroupDetail :: DimensionGroupDetail Source #

Create a value of DimensionGroupDetail with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dimensions:DimensionGroupDetail', dimensionGroupDetail_dimensions - The dimensions within a dimension group.

$sel:group':DimensionGroupDetail', dimensionGroupDetail_group - The name of the dimension group.

dimensionGroupDetail_dimensions :: Lens' DimensionGroupDetail (Maybe [DimensionDetail]) Source #

The dimensions within a dimension group.

dimensionGroupDetail_group :: Lens' DimensionGroupDetail (Maybe Text) Source #

The name of the dimension group.

DimensionKeyDescription

data DimensionKeyDescription Source #

An object that includes the requested dimension key values and aggregated metric values within a dimension group.

See: newDimensionKeyDescription smart constructor.

Constructors

DimensionKeyDescription'

Fields

additionalMetrics :: Maybe (HashMap Text Double)
A map that contains the value for each additional metric.
dimensions :: Maybe (HashMap Text Text)
A map of name-value pairs for the dimensions in the group.
partitions :: Maybe [Double]
If PartitionBy was specified, PartitionKeys contains the dimensions that were.
total :: Maybe Double
The aggregated metric value for the dimensions, over the requested time range.

Instances

Instances details

FromJSON DimensionKeyDescription Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDescription Methods parseJSON :: Value -> Parser DimensionKeyDescription # parseJSONList :: Value -> Parser [DimensionKeyDescription] #
Generic DimensionKeyDescription Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDescription Associated Types type Rep DimensionKeyDescription :: Type -> Type # Methods from :: DimensionKeyDescription -> Rep DimensionKeyDescription x # to :: Rep DimensionKeyDescription x -> DimensionKeyDescription #
Read DimensionKeyDescription Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDescription Methods readsPrec :: Int -> ReadS DimensionKeyDescription # readList :: ReadS [DimensionKeyDescription] # readPrec :: ReadPrec DimensionKeyDescription # readListPrec :: ReadPrec [DimensionKeyDescription] #
Show DimensionKeyDescription Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDescription Methods showsPrec :: Int -> DimensionKeyDescription -> ShowS # show :: DimensionKeyDescription -> String # showList :: [DimensionKeyDescription] -> ShowS #
NFData DimensionKeyDescription Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDescription Methods rnf :: DimensionKeyDescription -> () #
Eq DimensionKeyDescription Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDescription Methods (==) :: DimensionKeyDescription -> DimensionKeyDescription -> Bool # (/=) :: DimensionKeyDescription -> DimensionKeyDescription -> Bool #
Hashable DimensionKeyDescription Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDescription Methods hashWithSalt :: Int -> DimensionKeyDescription -> Int # hash :: DimensionKeyDescription -> Int #
type Rep DimensionKeyDescription Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDescription type Rep DimensionKeyDescription = D1 ('MetaData "DimensionKeyDescription" "Amazonka.Pi.Types.DimensionKeyDescription" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "DimensionKeyDescription'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "additionalMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Double))) :: S1 ('MetaSel ('Just "dimensions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))) :: (S1 ('MetaSel ('Just "partitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Double])) :*: S1 ('MetaSel ('Just "total") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newDimensionKeyDescription :: DimensionKeyDescription Source #

Create a value of DimensionKeyDescription with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:additionalMetrics:DimensionKeyDescription', dimensionKeyDescription_additionalMetrics - A map that contains the value for each additional metric.

$sel:dimensions:DimensionKeyDescription', dimensionKeyDescription_dimensions - A map of name-value pairs for the dimensions in the group.

$sel:partitions:DimensionKeyDescription', dimensionKeyDescription_partitions - If PartitionBy was specified, PartitionKeys contains the dimensions that were.

$sel:total:DimensionKeyDescription', dimensionKeyDescription_total - The aggregated metric value for the dimensions, over the requested time range.

dimensionKeyDescription_additionalMetrics :: Lens' DimensionKeyDescription (Maybe (HashMap Text Double)) Source #

A map that contains the value for each additional metric.

dimensionKeyDescription_dimensions :: Lens' DimensionKeyDescription (Maybe (HashMap Text Text)) Source #

A map of name-value pairs for the dimensions in the group.

dimensionKeyDescription_partitions :: Lens' DimensionKeyDescription (Maybe [Double]) Source #

If PartitionBy was specified, PartitionKeys contains the dimensions that were.

dimensionKeyDescription_total :: Lens' DimensionKeyDescription (Maybe Double) Source #

The aggregated metric value for the dimensions, over the requested time range.

DimensionKeyDetail

data DimensionKeyDetail Source #

An object that describes the details for a specified dimension.

See: newDimensionKeyDetail smart constructor.

Constructors

DimensionKeyDetail'

Fields

dimension :: Maybe Text
The full name of the dimension. The full name includes the group name and key name. The following values are valid:
- db.query.statement (Amazon DocumentDB)
- db.sql.statement (Amazon RDS and Aurora)
status :: Maybe DetailStatus
The status of the dimension detail data. Possible values include the following:
- AVAILABLE - The dimension detail data is ready to be retrieved.
- PROCESSING - The dimension detail data isn't ready to be retrieved because more processing time is required. If the requested detail data has the status PROCESSING, Performance Insights returns the truncated query.
- UNAVAILABLE - The dimension detail data could not be collected successfully.
value :: Maybe Text
The value of the dimension detail data. Depending on the return status, this value is either the full or truncated SQL query for the following dimensions:
- db.query.statement (Amazon DocumentDB)
- db.sql.statement (Amazon RDS and Aurora)

Instances

Instances details

FromJSON DimensionKeyDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDetail Methods parseJSON :: Value -> Parser DimensionKeyDetail # parseJSONList :: Value -> Parser [DimensionKeyDetail] #
Generic DimensionKeyDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDetail Associated Types type Rep DimensionKeyDetail :: Type -> Type # Methods from :: DimensionKeyDetail -> Rep DimensionKeyDetail x # to :: Rep DimensionKeyDetail x -> DimensionKeyDetail #
Read DimensionKeyDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDetail Methods readsPrec :: Int -> ReadS DimensionKeyDetail # readList :: ReadS [DimensionKeyDetail] # readPrec :: ReadPrec DimensionKeyDetail # readListPrec :: ReadPrec [DimensionKeyDetail] #
Show DimensionKeyDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDetail Methods showsPrec :: Int -> DimensionKeyDetail -> ShowS # show :: DimensionKeyDetail -> String # showList :: [DimensionKeyDetail] -> ShowS #
NFData DimensionKeyDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDetail Methods rnf :: DimensionKeyDetail -> () #
Eq DimensionKeyDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDetail Methods (==) :: DimensionKeyDetail -> DimensionKeyDetail -> Bool # (/=) :: DimensionKeyDetail -> DimensionKeyDetail -> Bool #
Hashable DimensionKeyDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDetail Methods hashWithSalt :: Int -> DimensionKeyDetail -> Int # hash :: DimensionKeyDetail -> Int #
type Rep DimensionKeyDetail Source #
Instance details Defined in Amazonka.Pi.Types.DimensionKeyDetail type Rep DimensionKeyDetail = D1 ('MetaData "DimensionKeyDetail" "Amazonka.Pi.Types.DimensionKeyDetail" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "DimensionKeyDetail'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dimension") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetailStatus)) :: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newDimensionKeyDetail :: DimensionKeyDetail Source #

Create a value of DimensionKeyDetail with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dimension:DimensionKeyDetail', dimensionKeyDetail_dimension - The full name of the dimension. The full name includes the group name and key name. The following values are valid:

db.query.statement (Amazon DocumentDB)
db.sql.statement (Amazon RDS and Aurora)

$sel:status:DimensionKeyDetail', dimensionKeyDetail_status - The status of the dimension detail data. Possible values include the following:

AVAILABLE - The dimension detail data is ready to be retrieved.
PROCESSING - The dimension detail data isn't ready to be retrieved because more processing time is required. If the requested detail data has the status PROCESSING, Performance Insights returns the truncated query.
UNAVAILABLE - The dimension detail data could not be collected successfully.

$sel:value:DimensionKeyDetail', dimensionKeyDetail_value - The value of the dimension detail data. Depending on the return status, this value is either the full or truncated SQL query for the following dimensions:

db.query.statement (Amazon DocumentDB)
db.sql.statement (Amazon RDS and Aurora)

dimensionKeyDetail_dimension :: Lens' DimensionKeyDetail (Maybe Text) Source #

The full name of the dimension. The full name includes the group name and key name. The following values are valid:

db.query.statement (Amazon DocumentDB)
db.sql.statement (Amazon RDS and Aurora)

dimensionKeyDetail_status :: Lens' DimensionKeyDetail (Maybe DetailStatus) Source #

The status of the dimension detail data. Possible values include the following:

AVAILABLE - The dimension detail data is ready to be retrieved.
PROCESSING - The dimension detail data isn't ready to be retrieved because more processing time is required. If the requested detail data has the status PROCESSING, Performance Insights returns the truncated query.
UNAVAILABLE - The dimension detail data could not be collected successfully.

dimensionKeyDetail_value :: Lens' DimensionKeyDetail (Maybe Text) Source #

The value of the dimension detail data. Depending on the return status, this value is either the full or truncated SQL query for the following dimensions:

db.query.statement (Amazon DocumentDB)
db.sql.statement (Amazon RDS and Aurora)

FeatureMetadata

data FeatureMetadata Source #

The metadata for a feature. For example, the metadata might indicate that a feature is turned on or off on a specific DB instance.

See: newFeatureMetadata smart constructor.

Constructors

FeatureMetadata'

Fields

status :: Maybe FeatureStatus
The status of the feature on the DB instance. Possible values include the following:
- ENABLED - The feature is enabled on the instance.
- DISABLED - The feature is disabled on the instance.
- UNSUPPORTED - The feature isn't supported on the instance.
- ENABLED_PENDING_REBOOT - The feature is enabled on the instance but requires a reboot to take effect.
- DISABLED_PENDING_REBOOT - The feature is disabled on the instance but requires a reboot to take effect.
- UNKNOWN - The feature status couldn't be determined.

Instances

Instances details

FromJSON FeatureMetadata Source #
Instance details Defined in Amazonka.Pi.Types.FeatureMetadata Methods parseJSON :: Value -> Parser FeatureMetadata # parseJSONList :: Value -> Parser [FeatureMetadata] #
Generic FeatureMetadata Source #
Instance details Defined in Amazonka.Pi.Types.FeatureMetadata Associated Types type Rep FeatureMetadata :: Type -> Type # Methods from :: FeatureMetadata -> Rep FeatureMetadata x # to :: Rep FeatureMetadata x -> FeatureMetadata #
Read FeatureMetadata Source #
Instance details Defined in Amazonka.Pi.Types.FeatureMetadata Methods readsPrec :: Int -> ReadS FeatureMetadata # readList :: ReadS [FeatureMetadata] # readPrec :: ReadPrec FeatureMetadata # readListPrec :: ReadPrec [FeatureMetadata] #
Show FeatureMetadata Source #
Instance details Defined in Amazonka.Pi.Types.FeatureMetadata Methods showsPrec :: Int -> FeatureMetadata -> ShowS # show :: FeatureMetadata -> String # showList :: [FeatureMetadata] -> ShowS #
NFData FeatureMetadata Source #
Instance details Defined in Amazonka.Pi.Types.FeatureMetadata Methods rnf :: FeatureMetadata -> () #
Eq FeatureMetadata Source #
Instance details Defined in Amazonka.Pi.Types.FeatureMetadata Methods (==) :: FeatureMetadata -> FeatureMetadata -> Bool # (/=) :: FeatureMetadata -> FeatureMetadata -> Bool #
Hashable FeatureMetadata Source #
Instance details Defined in Amazonka.Pi.Types.FeatureMetadata Methods hashWithSalt :: Int -> FeatureMetadata -> Int # hash :: FeatureMetadata -> Int #
type Rep FeatureMetadata Source #
Instance details Defined in Amazonka.Pi.Types.FeatureMetadata type Rep FeatureMetadata = D1 ('MetaData "FeatureMetadata" "Amazonka.Pi.Types.FeatureMetadata" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "FeatureMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureStatus))))

newFeatureMetadata :: FeatureMetadata Source #

Create a value of FeatureMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:status:FeatureMetadata', featureMetadata_status - The status of the feature on the DB instance. Possible values include the following:

ENABLED - The feature is enabled on the instance.
DISABLED - The feature is disabled on the instance.
UNSUPPORTED - The feature isn't supported on the instance.
ENABLED_PENDING_REBOOT - The feature is enabled on the instance but requires a reboot to take effect.
DISABLED_PENDING_REBOOT - The feature is disabled on the instance but requires a reboot to take effect.
UNKNOWN - The feature status couldn't be determined.

featureMetadata_status :: Lens' FeatureMetadata (Maybe FeatureStatus) Source #

The status of the feature on the DB instance. Possible values include the following:

ENABLED - The feature is enabled on the instance.
DISABLED - The feature is disabled on the instance.
UNSUPPORTED - The feature isn't supported on the instance.
ENABLED_PENDING_REBOOT - The feature is enabled on the instance but requires a reboot to take effect.
DISABLED_PENDING_REBOOT - The feature is disabled on the instance but requires a reboot to take effect.
UNKNOWN - The feature status couldn't be determined.

MetricDimensionGroups

data MetricDimensionGroups Source #

The available dimension information for a metric type.

See: newMetricDimensionGroups smart constructor.

Constructors

MetricDimensionGroups'
Fields groups :: Maybe [DimensionGroupDetail] The available dimension groups for a metric type. metric :: Maybe Text The metric type to which the dimension information belongs.

Instances

Instances details

FromJSON MetricDimensionGroups Source #
Instance details Defined in Amazonka.Pi.Types.MetricDimensionGroups Methods parseJSON :: Value -> Parser MetricDimensionGroups # parseJSONList :: Value -> Parser [MetricDimensionGroups] #
Generic MetricDimensionGroups Source #
Instance details Defined in Amazonka.Pi.Types.MetricDimensionGroups Associated Types type Rep MetricDimensionGroups :: Type -> Type # Methods from :: MetricDimensionGroups -> Rep MetricDimensionGroups x # to :: Rep MetricDimensionGroups x -> MetricDimensionGroups #
Read MetricDimensionGroups Source #
Instance details Defined in Amazonka.Pi.Types.MetricDimensionGroups Methods readsPrec :: Int -> ReadS MetricDimensionGroups # readList :: ReadS [MetricDimensionGroups] # readPrec :: ReadPrec MetricDimensionGroups # readListPrec :: ReadPrec [MetricDimensionGroups] #
Show MetricDimensionGroups Source #
Instance details Defined in Amazonka.Pi.Types.MetricDimensionGroups Methods showsPrec :: Int -> MetricDimensionGroups -> ShowS # show :: MetricDimensionGroups -> String # showList :: [MetricDimensionGroups] -> ShowS #
NFData MetricDimensionGroups Source #
Instance details Defined in Amazonka.Pi.Types.MetricDimensionGroups Methods rnf :: MetricDimensionGroups -> () #
Eq MetricDimensionGroups Source #
Instance details Defined in Amazonka.Pi.Types.MetricDimensionGroups Methods (==) :: MetricDimensionGroups -> MetricDimensionGroups -> Bool # (/=) :: MetricDimensionGroups -> MetricDimensionGroups -> Bool #
Hashable MetricDimensionGroups Source #
Instance details Defined in Amazonka.Pi.Types.MetricDimensionGroups Methods hashWithSalt :: Int -> MetricDimensionGroups -> Int # hash :: MetricDimensionGroups -> Int #
type Rep MetricDimensionGroups Source #
Instance details Defined in Amazonka.Pi.Types.MetricDimensionGroups type Rep MetricDimensionGroups = D1 ('MetaData "MetricDimensionGroups" "Amazonka.Pi.Types.MetricDimensionGroups" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "MetricDimensionGroups'" 'PrefixI 'True) (S1 ('MetaSel ('Just "groups") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DimensionGroupDetail])) :*: S1 ('MetaSel ('Just "metric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newMetricDimensionGroups :: MetricDimensionGroups Source #

Create a value of MetricDimensionGroups with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:groups:MetricDimensionGroups', metricDimensionGroups_groups - The available dimension groups for a metric type.

$sel:metric:MetricDimensionGroups', metricDimensionGroups_metric - The metric type to which the dimension information belongs.

metricDimensionGroups_groups :: Lens' MetricDimensionGroups (Maybe [DimensionGroupDetail]) Source #

The available dimension groups for a metric type.

metricDimensionGroups_metric :: Lens' MetricDimensionGroups (Maybe Text) Source #

The metric type to which the dimension information belongs.

MetricKeyDataPoints

data MetricKeyDataPoints Source #

A time-ordered series of data points, corresponding to a dimension of a Performance Insights metric.

See: newMetricKeyDataPoints smart constructor.

Constructors

MetricKeyDataPoints'
Fields dataPoints :: Maybe [DataPoint] An array of timestamp-value pairs, representing measurements over a period of time. key :: Maybe ResponseResourceMetricKey The dimensions to which the data points apply.

Instances

Instances details

FromJSON MetricKeyDataPoints Source #
Instance details Defined in Amazonka.Pi.Types.MetricKeyDataPoints Methods parseJSON :: Value -> Parser MetricKeyDataPoints # parseJSONList :: Value -> Parser [MetricKeyDataPoints] #
Generic MetricKeyDataPoints Source #
Instance details Defined in Amazonka.Pi.Types.MetricKeyDataPoints Associated Types type Rep MetricKeyDataPoints :: Type -> Type # Methods from :: MetricKeyDataPoints -> Rep MetricKeyDataPoints x # to :: Rep MetricKeyDataPoints x -> MetricKeyDataPoints #
Read MetricKeyDataPoints Source #
Instance details Defined in Amazonka.Pi.Types.MetricKeyDataPoints Methods readsPrec :: Int -> ReadS MetricKeyDataPoints # readList :: ReadS [MetricKeyDataPoints] # readPrec :: ReadPrec MetricKeyDataPoints # readListPrec :: ReadPrec [MetricKeyDataPoints] #
Show MetricKeyDataPoints Source #
Instance details Defined in Amazonka.Pi.Types.MetricKeyDataPoints Methods showsPrec :: Int -> MetricKeyDataPoints -> ShowS # show :: MetricKeyDataPoints -> String # showList :: [MetricKeyDataPoints] -> ShowS #
NFData MetricKeyDataPoints Source #
Instance details Defined in Amazonka.Pi.Types.MetricKeyDataPoints Methods rnf :: MetricKeyDataPoints -> () #
Eq MetricKeyDataPoints Source #
Instance details Defined in Amazonka.Pi.Types.MetricKeyDataPoints Methods (==) :: MetricKeyDataPoints -> MetricKeyDataPoints -> Bool # (/=) :: MetricKeyDataPoints -> MetricKeyDataPoints -> Bool #
Hashable MetricKeyDataPoints Source #
Instance details Defined in Amazonka.Pi.Types.MetricKeyDataPoints Methods hashWithSalt :: Int -> MetricKeyDataPoints -> Int # hash :: MetricKeyDataPoints -> Int #
type Rep MetricKeyDataPoints Source #
Instance details Defined in Amazonka.Pi.Types.MetricKeyDataPoints type Rep MetricKeyDataPoints = D1 ('MetaData "MetricKeyDataPoints" "Amazonka.Pi.Types.MetricKeyDataPoints" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "MetricKeyDataPoints'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dataPoints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DataPoint])) :*: S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResponseResourceMetricKey))))

newMetricKeyDataPoints :: MetricKeyDataPoints Source #

Create a value of MetricKeyDataPoints with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dataPoints:MetricKeyDataPoints', metricKeyDataPoints_dataPoints - An array of timestamp-value pairs, representing measurements over a period of time.

$sel:key:MetricKeyDataPoints', metricKeyDataPoints_key - The dimensions to which the data points apply.

metricKeyDataPoints_dataPoints :: Lens' MetricKeyDataPoints (Maybe [DataPoint]) Source #

An array of timestamp-value pairs, representing measurements over a period of time.

metricKeyDataPoints_key :: Lens' MetricKeyDataPoints (Maybe ResponseResourceMetricKey) Source #

The dimensions to which the data points apply.

MetricQuery

data MetricQuery Source #

A single query to be processed. You must provide the metric to query. If no other parameters are specified, Performance Insights returns all data points for the specified metric. Optionally, you can request that the data points be aggregated by dimension group (GroupBy), and return only those data points that match your criteria (Filter).

See: newMetricQuery smart constructor.

Constructors

MetricQuery'

Fields

filter' :: Maybe (HashMap Text Text)
One or more filters to apply in the request. Restrictions:
- Any number of filters by the same dimension, as specified in the GroupBy parameter.
- A single filter for any other dimension in this dimension group.
groupBy :: Maybe DimensionGroup
A specification for how to aggregate the data points from a query result. You must specify a valid dimension group. Performance Insights will return all of the dimensions within that group, unless you provide the names of specific dimensions within that group. You can also request that Performance Insights return a limited number of values for a dimension.
metric :: Text
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.
- The counter metrics listed in Performance Insights operating system counters in the Amazon Aurora User Guide.
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.

Instances

Instances details

ToJSON MetricQuery Source #
Instance details Defined in Amazonka.Pi.Types.MetricQuery Methods toJSON :: MetricQuery -> Value # toEncoding :: MetricQuery -> Encoding # toJSONList :: [MetricQuery] -> Value # toEncodingList :: [MetricQuery] -> Encoding #
Generic MetricQuery Source #
Instance details Defined in Amazonka.Pi.Types.MetricQuery Associated Types type Rep MetricQuery :: Type -> Type # Methods from :: MetricQuery -> Rep MetricQuery x # to :: Rep MetricQuery x -> MetricQuery #
Read MetricQuery Source #
Instance details Defined in Amazonka.Pi.Types.MetricQuery Methods readsPrec :: Int -> ReadS MetricQuery # readList :: ReadS [MetricQuery] # readPrec :: ReadPrec MetricQuery # readListPrec :: ReadPrec [MetricQuery] #
Show MetricQuery Source #
Instance details Defined in Amazonka.Pi.Types.MetricQuery Methods showsPrec :: Int -> MetricQuery -> ShowS # show :: MetricQuery -> String # showList :: [MetricQuery] -> ShowS #
NFData MetricQuery Source #
Instance details Defined in Amazonka.Pi.Types.MetricQuery Methods rnf :: MetricQuery -> () #
Eq MetricQuery Source #
Instance details Defined in Amazonka.Pi.Types.MetricQuery Methods (==) :: MetricQuery -> MetricQuery -> Bool # (/=) :: MetricQuery -> MetricQuery -> Bool #
Hashable MetricQuery Source #
Instance details Defined in Amazonka.Pi.Types.MetricQuery Methods hashWithSalt :: Int -> MetricQuery -> Int # hash :: MetricQuery -> Int #
type Rep MetricQuery Source #
Instance details Defined in Amazonka.Pi.Types.MetricQuery type Rep MetricQuery = D1 ('MetaData "MetricQuery" "Amazonka.Pi.Types.MetricQuery" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "MetricQuery'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filter'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "groupBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DimensionGroup)) :: S1 ('MetaSel ('Just "metric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newMetricQuery Source #

Arguments

:: Text	`$sel:metric:MetricQuery'`
-> MetricQuery

Create a value of MetricQuery with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:filter':MetricQuery', metricQuery_filter - One or more filters to apply in the request. Restrictions:

Any number of filters by the same dimension, as specified in the GroupBy parameter.
A single filter for any other dimension in this dimension group.

$sel:groupBy:MetricQuery', metricQuery_groupBy - A specification for how to aggregate the data points from a query result. You must specify a valid dimension group. Performance Insights will return all of the dimensions within that group, unless you provide the names of specific dimensions within that group. You can also request that Performance Insights return a limited number of values for a dimension.

$sel:metric:MetricQuery', metricQuery_metric - 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.
The counter metrics listed in Performance Insights operating system counters in the Amazon Aurora User Guide.

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.

metricQuery_filter :: Lens' MetricQuery (Maybe (HashMap Text Text)) Source #

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

Any number of filters by the same dimension, as specified in the GroupBy parameter.
A single filter for any other dimension in this dimension group.

metricQuery_groupBy :: Lens' MetricQuery (Maybe DimensionGroup) Source #

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

metricQuery_metric :: Lens' MetricQuery Text Source #

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.
The counter metrics listed in Performance Insights operating system counters in the Amazon Aurora User Guide.

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.

ResponsePartitionKey

data ResponsePartitionKey Source #

If PartitionBy was specified in a DescribeDimensionKeys request, the dimensions are returned in an array. Each element in the array specifies one dimension.

See: newResponsePartitionKey smart constructor.

Constructors

ResponsePartitionKey'
Fields dimensions :: HashMap Text Text A dimension map that contains the dimensions for this partition.

Instances

Instances details

FromJSON ResponsePartitionKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponsePartitionKey Methods parseJSON :: Value -> Parser ResponsePartitionKey # parseJSONList :: Value -> Parser [ResponsePartitionKey] #
Generic ResponsePartitionKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponsePartitionKey Associated Types type Rep ResponsePartitionKey :: Type -> Type # Methods from :: ResponsePartitionKey -> Rep ResponsePartitionKey x # to :: Rep ResponsePartitionKey x -> ResponsePartitionKey #
Read ResponsePartitionKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponsePartitionKey Methods readsPrec :: Int -> ReadS ResponsePartitionKey # readList :: ReadS [ResponsePartitionKey] # readPrec :: ReadPrec ResponsePartitionKey # readListPrec :: ReadPrec [ResponsePartitionKey] #
Show ResponsePartitionKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponsePartitionKey Methods showsPrec :: Int -> ResponsePartitionKey -> ShowS # show :: ResponsePartitionKey -> String # showList :: [ResponsePartitionKey] -> ShowS #
NFData ResponsePartitionKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponsePartitionKey Methods rnf :: ResponsePartitionKey -> () #
Eq ResponsePartitionKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponsePartitionKey Methods (==) :: ResponsePartitionKey -> ResponsePartitionKey -> Bool # (/=) :: ResponsePartitionKey -> ResponsePartitionKey -> Bool #
Hashable ResponsePartitionKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponsePartitionKey Methods hashWithSalt :: Int -> ResponsePartitionKey -> Int # hash :: ResponsePartitionKey -> Int #
type Rep ResponsePartitionKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponsePartitionKey type Rep ResponsePartitionKey = D1 ('MetaData "ResponsePartitionKey" "Amazonka.Pi.Types.ResponsePartitionKey" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "ResponsePartitionKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dimensions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (HashMap Text Text))))

newResponsePartitionKey :: ResponsePartitionKey Source #

Create a value of ResponsePartitionKey with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dimensions:ResponsePartitionKey', responsePartitionKey_dimensions - A dimension map that contains the dimensions for this partition.

responsePartitionKey_dimensions :: Lens' ResponsePartitionKey (HashMap Text Text) Source #

A dimension map that contains the dimensions for this partition.

ResponseResourceMetric

data ResponseResourceMetric Source #

An object that contains the full name, description, and unit of a metric.

See: newResponseResourceMetric smart constructor.

Constructors

ResponseResourceMetric'
Fields description :: Maybe Text The description of the metric. metric :: Maybe Text The full name of the metric. unit :: Maybe Text The unit of the metric.

Instances

Instances details

FromJSON ResponseResourceMetric Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetric Methods parseJSON :: Value -> Parser ResponseResourceMetric # parseJSONList :: Value -> Parser [ResponseResourceMetric] #
Generic ResponseResourceMetric Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetric Associated Types type Rep ResponseResourceMetric :: Type -> Type # Methods from :: ResponseResourceMetric -> Rep ResponseResourceMetric x # to :: Rep ResponseResourceMetric x -> ResponseResourceMetric #
Read ResponseResourceMetric Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetric Methods readsPrec :: Int -> ReadS ResponseResourceMetric # readList :: ReadS [ResponseResourceMetric] # readPrec :: ReadPrec ResponseResourceMetric # readListPrec :: ReadPrec [ResponseResourceMetric] #
Show ResponseResourceMetric Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetric Methods showsPrec :: Int -> ResponseResourceMetric -> ShowS # show :: ResponseResourceMetric -> String # showList :: [ResponseResourceMetric] -> ShowS #
NFData ResponseResourceMetric Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetric Methods rnf :: ResponseResourceMetric -> () #
Eq ResponseResourceMetric Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetric Methods (==) :: ResponseResourceMetric -> ResponseResourceMetric -> Bool # (/=) :: ResponseResourceMetric -> ResponseResourceMetric -> Bool #
Hashable ResponseResourceMetric Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetric Methods hashWithSalt :: Int -> ResponseResourceMetric -> Int # hash :: ResponseResourceMetric -> Int #
type Rep ResponseResourceMetric Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetric type Rep ResponseResourceMetric = D1 ('MetaData "ResponseResourceMetric" "Amazonka.Pi.Types.ResponseResourceMetric" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "ResponseResourceMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "metric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "unit") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newResponseResourceMetric :: ResponseResourceMetric Source #

Create a value of ResponseResourceMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:description:ResponseResourceMetric', responseResourceMetric_description - The description of the metric.

$sel:metric:ResponseResourceMetric', responseResourceMetric_metric - The full name of the metric.

$sel:unit:ResponseResourceMetric', responseResourceMetric_unit - The unit of the metric.

responseResourceMetric_description :: Lens' ResponseResourceMetric (Maybe Text) Source #

The description of the metric.

responseResourceMetric_metric :: Lens' ResponseResourceMetric (Maybe Text) Source #

The full name of the metric.

responseResourceMetric_unit :: Lens' ResponseResourceMetric (Maybe Text) Source #

The unit of the metric.

ResponseResourceMetricKey

data ResponseResourceMetricKey Source #

An object describing a Performance Insights metric and one or more dimensions for that metric.

See: newResponseResourceMetricKey smart constructor.

Constructors

ResponseResourceMetricKey'

Fields

dimensions :: Maybe (HashMap Text Text)
The valid dimensions for the metric.
metric :: Text
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.
- The counter metrics listed in Performance Insights operating system counters in the Amazon Aurora User Guide.
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.

Instances

Instances details

FromJSON ResponseResourceMetricKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetricKey Methods parseJSON :: Value -> Parser ResponseResourceMetricKey # parseJSONList :: Value -> Parser [ResponseResourceMetricKey] #
Generic ResponseResourceMetricKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetricKey Associated Types type Rep ResponseResourceMetricKey :: Type -> Type # Methods from :: ResponseResourceMetricKey -> Rep ResponseResourceMetricKey x # to :: Rep ResponseResourceMetricKey x -> ResponseResourceMetricKey #
Read ResponseResourceMetricKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetricKey Methods readsPrec :: Int -> ReadS ResponseResourceMetricKey # readList :: ReadS [ResponseResourceMetricKey] # readPrec :: ReadPrec ResponseResourceMetricKey # readListPrec :: ReadPrec [ResponseResourceMetricKey] #
Show ResponseResourceMetricKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetricKey Methods showsPrec :: Int -> ResponseResourceMetricKey -> ShowS # show :: ResponseResourceMetricKey -> String # showList :: [ResponseResourceMetricKey] -> ShowS #
NFData ResponseResourceMetricKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetricKey Methods rnf :: ResponseResourceMetricKey -> () #
Eq ResponseResourceMetricKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetricKey Methods (==) :: ResponseResourceMetricKey -> ResponseResourceMetricKey -> Bool # (/=) :: ResponseResourceMetricKey -> ResponseResourceMetricKey -> Bool #
Hashable ResponseResourceMetricKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetricKey Methods hashWithSalt :: Int -> ResponseResourceMetricKey -> Int # hash :: ResponseResourceMetricKey -> Int #
type Rep ResponseResourceMetricKey Source #
Instance details Defined in Amazonka.Pi.Types.ResponseResourceMetricKey type Rep ResponseResourceMetricKey = D1 ('MetaData "ResponseResourceMetricKey" "Amazonka.Pi.Types.ResponseResourceMetricKey" "amazonka-pi-2.0-JFFapck1KySFz4VqF9F326" 'False) (C1 ('MetaCons "ResponseResourceMetricKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dimensions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "metric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newResponseResourceMetricKey Source #

Arguments

:: Text	`$sel:metric:ResponseResourceMetricKey'`
-> ResponseResourceMetricKey

Create a value of ResponseResourceMetricKey with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dimensions:ResponseResourceMetricKey', responseResourceMetricKey_dimensions - The valid dimensions for the metric.

$sel:metric:ResponseResourceMetricKey', responseResourceMetricKey_metric - 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.
The counter metrics listed in Performance Insights operating system counters in the Amazon Aurora User Guide.

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.

responseResourceMetricKey_dimensions :: Lens' ResponseResourceMetricKey (Maybe (HashMap Text Text)) Source #

The valid dimensions for the metric.

responseResourceMetricKey_metric :: Lens' ResponseResourceMetricKey Text Source #

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.
The counter metrics listed in Performance Insights operating system counters in the Amazon Aurora User Guide.

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.