CfnScheduledQuery
- class aws_cdk.aws_timestream.CfnScheduledQuery(scope, id, *, error_report_configuration, notification_configuration, query_string, schedule_configuration, scheduled_query_execution_role_arn, client_token=None, kms_key_id=None, scheduled_query_name=None, tags=None, target_configuration=None)
Bases:
CfnResource
Create a scheduled query that will be run on your behalf at the configured schedule.
Timestream assumes the execution role provided as part of the
ScheduledQueryExecutionRoleArn
parameter to run the query. You can use theNotificationConfiguration
parameter to configure notification for your scheduled query operations.- See:
- CloudformationResource:
AWS::Timestream::ScheduledQuery
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_timestream as timestream cfn_scheduled_query = timestream.CfnScheduledQuery(self, "MyCfnScheduledQuery", error_report_configuration=timestream.CfnScheduledQuery.ErrorReportConfigurationProperty( s3_configuration=timestream.CfnScheduledQuery.S3ConfigurationProperty( bucket_name="bucketName", # the properties below are optional encryption_option="encryptionOption", object_key_prefix="objectKeyPrefix" ) ), notification_configuration=timestream.CfnScheduledQuery.NotificationConfigurationProperty( sns_configuration=timestream.CfnScheduledQuery.SnsConfigurationProperty( topic_arn="topicArn" ) ), query_string="queryString", schedule_configuration=timestream.CfnScheduledQuery.ScheduleConfigurationProperty( schedule_expression="scheduleExpression" ), scheduled_query_execution_role_arn="scheduledQueryExecutionRoleArn", # the properties below are optional client_token="clientToken", kms_key_id="kmsKeyId", scheduled_query_name="scheduledQueryName", tags=[CfnTag( key="key", value="value" )], target_configuration=timestream.CfnScheduledQuery.TargetConfigurationProperty( timestream_configuration=timestream.CfnScheduledQuery.TimestreamConfigurationProperty( database_name="databaseName", dimension_mappings=[timestream.CfnScheduledQuery.DimensionMappingProperty( dimension_value_type="dimensionValueType", name="name" )], table_name="tableName", time_column="timeColumn", # the properties below are optional measure_name_column="measureNameColumn", mixed_measure_mappings=[timestream.CfnScheduledQuery.MixedMeasureMappingProperty( measure_value_type="measureValueType", # the properties below are optional measure_name="measureName", multi_measure_attribute_mappings=[timestream.CfnScheduledQuery.MultiMeasureAttributeMappingProperty( measure_value_type="measureValueType", source_column="sourceColumn", # the properties below are optional target_multi_measure_attribute_name="targetMultiMeasureAttributeName" )], source_column="sourceColumn", target_measure_name="targetMeasureName" )], multi_measure_mappings=timestream.CfnScheduledQuery.MultiMeasureMappingsProperty( multi_measure_attribute_mappings=[timestream.CfnScheduledQuery.MultiMeasureAttributeMappingProperty( measure_value_type="measureValueType", source_column="sourceColumn", # the properties below are optional target_multi_measure_attribute_name="targetMultiMeasureAttributeName" )], # the properties below are optional target_multi_measure_name="targetMultiMeasureName" ) ) ) )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).error_report_configuration (
Union
[IResolvable
,ErrorReportConfigurationProperty
,Dict
[str
,Any
]]) – Configuration for error reporting. Error reports will be generated when a problem is encountered when writing the query results.notification_configuration (
Union
[IResolvable
,NotificationConfigurationProperty
,Dict
[str
,Any
]]) – Notification configuration for the scheduled query. A notification is sent by Timestream when a query run finishes, when the state is updated or when you delete it.query_string (
str
) – The query string to run. Parameter names can be specified in the query string@
character followed by an identifier. The named Parameter@scheduled_runtime
is reserved and can be used in the query to get the time at which the query is scheduled to run. The timestamp calculated according to the ScheduleConfiguration parameter, will be the value of@scheduled_runtime
paramater for each query run. For example, consider an instance of a scheduled query executing on 2021-12-01 00:00:00. For this instance, the@scheduled_runtime
parameter is initialized to the timestamp 2021-12-01 00:00:00 when invoking the query.schedule_configuration (
Union
[IResolvable
,ScheduleConfigurationProperty
,Dict
[str
,Any
]]) – Schedule configuration.scheduled_query_execution_role_arn (
str
) – The ARN for the IAM role that Timestream will assume when running the scheduled query.client_token (
Optional
[str
]) – Using a ClientToken makes the call to CreateScheduledQuery idempotent, in other words, making the same request repeatedly will produce the same result. Making multiple identical CreateScheduledQuery requests has the same effect as making a single request. - If CreateScheduledQuery is called without aClientToken
, the Query SDK generates aClientToken
on your behalf. - After 8 hours, any request with the sameClientToken
is treated as a new request.kms_key_id (
Optional
[str
]) – The Amazon KMS key used to encrypt the scheduled query resource, at-rest. If the Amazon KMS key is not specified, the scheduled query resource will be encrypted with a Timestream owned Amazon KMS key. To specify a KMS key, use the key ID, key ARN, alias name, or alias ARN. When using an alias name, prefix the name with alias/ If ErrorReportConfiguration usesSSE_KMS
as encryption type, the same KmsKeyId is used to encrypt the error report at rest.scheduled_query_name (
Optional
[str
]) – A name for the query. Scheduled query names must be unique within each Region.tags (
Optional
[Sequence
[Union
[CfnTag
,Dict
[str
,Any
]]]]) – A list of key-value pairs to label the scheduled query.target_configuration (
Union
[IResolvable
,TargetConfigurationProperty
,Dict
[str
,Any
],None
]) – Scheduled query target store configuration.
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined)
.- Parameters:
path (
str
) – The path of the value to delete.- Return type:
None
- add_dependency(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- add_depends_on(target)
(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
- Parameters:
target (
CfnResource
) –- Deprecated:
use addDependency
- Stability:
deprecated
- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –value (
Any
) –
- See:
- Return type:
None
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverride
or prefixpath
with “Properties.” (i.e.Properties.TopicName
).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.
in the property name, prefix with a\
. In most programming languages you will need to write this as"\\."
because the\
itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
value
argument toaddOverride
will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str
) –The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (
Any
) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str
) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value)
.- Parameters:
property_path (
str
) – The path of the property.value (
Any
) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT
). A list of resources that support this policy can be found in the following link:- Parameters:
policy (
Optional
[RemovalPolicy
]) –apply_to_update_replace_policy (
Optional
[bool
]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional
[RemovalPolicy
]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.
- See:
- Return type:
None
- get_att(attribute_name, type_hint=None)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn
), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str
) – The name of the attribute.type_hint (
Optional
[ResolutionTypeHint
]) –
- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector
) – tree inspector to collect and process attributes.- Return type:
None
- obtain_dependencies()
Retrieves an array of resources this resource depends on.
This assembles dependencies on resources across stacks (including nested stacks) automatically.
- Return type:
List
[Union
[Stack
,CfnResource
]]
- obtain_resource_dependencies()
Get a shallow copy of dependencies between this resource and other resources in the same stack.
- Return type:
List
[CfnResource
]
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str
) – The new logical ID to use for this stack element.- Return type:
None
- remove_dependency(target)
Indicates that this resource no longer depends on another resource.
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- replace_dependency(target, new_target)
Replaces one dependency with another.
- Parameters:
target (
CfnResource
) – The dependency to replace.new_target (
CfnResource
) – The new dependency to add.
- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str
- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::Timestream::ScheduledQuery'
- attr_arn
The
ARN
of the scheduled query.- CloudformationAttribute:
Arn
- attr_sq_error_report_configuration
The scheduled query error reporting configuration.
- CloudformationAttribute:
SQErrorReportConfiguration
- attr_sq_kms_key_id
The KMS key used to encrypt the query resource, if a customer managed KMS key was provided.
- CloudformationAttribute:
SQKmsKeyId
- attr_sq_name
The scheduled query name.
- CloudformationAttribute:
SQName
- attr_sq_notification_configuration
The scheduled query notification configuration.
- CloudformationAttribute:
SQNotificationConfiguration
- attr_sq_query_string
The scheduled query string..
- CloudformationAttribute:
SQQueryString
- attr_sq_schedule_configuration
The scheduled query schedule configuration.
- CloudformationAttribute:
SQScheduleConfiguration
- attr_sq_scheduled_query_execution_role_arn
The ARN of the IAM role that will be used by Timestream to run the query.
- CloudformationAttribute:
SQScheduledQueryExecutionRoleArn
- attr_sq_target_configuration
The configuration for query output.
- CloudformationAttribute:
SQTargetConfiguration
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- client_token
Using a ClientToken makes the call to CreateScheduledQuery idempotent, in other words, making the same request repeatedly will produce the same result.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- error_report_configuration
Configuration for error reporting.
- kms_key_id
The Amazon KMS key used to encrypt the scheduled query resource, at-rest.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId)
.- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- node
The tree node.
- notification_configuration
Notification configuration for the scheduled query.
- query_string
The query string to run.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }
for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref })
.
- schedule_configuration
Schedule configuration.
- scheduled_query_execution_role_arn
The ARN for the IAM role that Timestream will assume when running the scheduled query.
- scheduled_query_name
A name for the query.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- tags
Tag Manager which manages the tags for this resource.
- tags_raw
A list of key-value pairs to label the scheduled query.
- target_configuration
Scheduled query target store configuration.
Static Methods
- classmethod is_cfn_element(x)
Returns
true
if a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceof
to allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any
) –- Return type:
bool
- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(x)
Check whether the given object is a CfnResource.
- Parameters:
x (
Any
) –- Return type:
bool
- classmethod is_construct(x)
Checks if
x
is a construct.Use this method instead of
instanceof
to properly detectConstruct
instances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructs
library on disk are seen as independent, completely different libraries. As a consequence, the classConstruct
in each copy of theconstructs
library is seen as a different class, and an instance of one class will not test asinstanceof
the other class.npm install
will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructs
library can be accidentally installed, andinstanceof
will behave unpredictably. It is safest to avoid usinginstanceof
, and using this type-testing method instead.- Parameters:
x (
Any
) – Any object.- Return type:
bool
- Returns:
true if
x
is an object created from a class which extendsConstruct
.
DimensionMappingProperty
- class CfnScheduledQuery.DimensionMappingProperty(*, dimension_value_type, name)
Bases:
object
This type is used to map column(s) from the query result to a dimension in the destination table.
- Parameters:
dimension_value_type (
str
) – Type for the dimension: VARCHAR.name (
str
) – Column name from query result.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_timestream as timestream dimension_mapping_property = timestream.CfnScheduledQuery.DimensionMappingProperty( dimension_value_type="dimensionValueType", name="name" )
Attributes
- dimension_value_type
VARCHAR.
ErrorReportConfigurationProperty
- class CfnScheduledQuery.ErrorReportConfigurationProperty(*, s3_configuration)
Bases:
object
Configuration required for error reporting.
- Parameters:
s3_configuration (
Union
[IResolvable
,S3ConfigurationProperty
,Dict
[str
,Any
]]) – The S3 configuration for the error reports.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_timestream as timestream error_report_configuration_property = timestream.CfnScheduledQuery.ErrorReportConfigurationProperty( s3_configuration=timestream.CfnScheduledQuery.S3ConfigurationProperty( bucket_name="bucketName", # the properties below are optional encryption_option="encryptionOption", object_key_prefix="objectKeyPrefix" ) )
Attributes
- s3_configuration
The S3 configuration for the error reports.
MixedMeasureMappingProperty
- class CfnScheduledQuery.MixedMeasureMappingProperty(*, measure_value_type, measure_name=None, multi_measure_attribute_mappings=None, source_column=None, target_measure_name=None)
Bases:
object
MixedMeasureMappings are mappings that can be used to ingest data into a mixture of narrow and multi measures in the derived table.
- Parameters:
measure_value_type (
str
) – Type of the value that is to be read from sourceColumn. If the mapping is for MULTI, use MeasureValueType.MULTI.measure_name (
Optional
[str
]) – Refers to the value of measure_name in a result row. This field is required if MeasureNameColumn is provided.multi_measure_attribute_mappings (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,MultiMeasureAttributeMappingProperty
,Dict
[str
,Any
]]],None
]) – Required when measureValueType is MULTI. Attribute mappings for MULTI value measures.source_column (
Optional
[str
]) – This field refers to the source column from which measure-value is to be read for result materialization.target_measure_name (
Optional
[str
]) – Target measure name to be used. If not provided, the target measure name by default would be measure-name if provided, or sourceColumn otherwise.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_timestream as timestream mixed_measure_mapping_property = timestream.CfnScheduledQuery.MixedMeasureMappingProperty( measure_value_type="measureValueType", # the properties below are optional measure_name="measureName", multi_measure_attribute_mappings=[timestream.CfnScheduledQuery.MultiMeasureAttributeMappingProperty( measure_value_type="measureValueType", source_column="sourceColumn", # the properties below are optional target_multi_measure_attribute_name="targetMultiMeasureAttributeName" )], source_column="sourceColumn", target_measure_name="targetMeasureName" )
Attributes
- measure_name
Refers to the value of measure_name in a result row.
This field is required if MeasureNameColumn is provided.
- measure_value_type
Type of the value that is to be read from sourceColumn.
If the mapping is for MULTI, use MeasureValueType.MULTI.
- multi_measure_attribute_mappings
Required when measureValueType is MULTI.
Attribute mappings for MULTI value measures.
- source_column
This field refers to the source column from which measure-value is to be read for result materialization.
- target_measure_name
Target measure name to be used.
If not provided, the target measure name by default would be measure-name if provided, or sourceColumn otherwise.
MultiMeasureAttributeMappingProperty
- class CfnScheduledQuery.MultiMeasureAttributeMappingProperty(*, measure_value_type, source_column, target_multi_measure_attribute_name=None)
Bases:
object
Attribute mapping for MULTI value measures.
- Parameters:
measure_value_type (
str
) – Type of the attribute to be read from the source column.source_column (
str
) – Source column from where the attribute value is to be read.target_multi_measure_attribute_name (
Optional
[str
]) – Custom name to be used for attribute name in derived table. If not provided, source column name would be used.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_timestream as timestream multi_measure_attribute_mapping_property = timestream.CfnScheduledQuery.MultiMeasureAttributeMappingProperty( measure_value_type="measureValueType", source_column="sourceColumn", # the properties below are optional target_multi_measure_attribute_name="targetMultiMeasureAttributeName" )
Attributes
- measure_value_type
Type of the attribute to be read from the source column.
- source_column
Source column from where the attribute value is to be read.
- target_multi_measure_attribute_name
Custom name to be used for attribute name in derived table.
If not provided, source column name would be used.
MultiMeasureMappingsProperty
- class CfnScheduledQuery.MultiMeasureMappingsProperty(*, multi_measure_attribute_mappings, target_multi_measure_name=None)
Bases:
object
Only one of MixedMeasureMappings or MultiMeasureMappings is to be provided.
MultiMeasureMappings can be used to ingest data as multi measures in the derived table.
- Parameters:
multi_measure_attribute_mappings (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,MultiMeasureAttributeMappingProperty
,Dict
[str
,Any
]]]]) – Required. Attribute mappings to be used for mapping query results to ingest data for multi-measure attributes.target_multi_measure_name (
Optional
[str
]) – The name of the target multi-measure name in the derived table. This input is required when measureNameColumn is not provided. If MeasureNameColumn is provided, then value from that column will be used as multi-measure name.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_timestream as timestream multi_measure_mappings_property = timestream.CfnScheduledQuery.MultiMeasureMappingsProperty( multi_measure_attribute_mappings=[timestream.CfnScheduledQuery.MultiMeasureAttributeMappingProperty( measure_value_type="measureValueType", source_column="sourceColumn", # the properties below are optional target_multi_measure_attribute_name="targetMultiMeasureAttributeName" )], # the properties below are optional target_multi_measure_name="targetMultiMeasureName" )
Attributes
- multi_measure_attribute_mappings
Required.
Attribute mappings to be used for mapping query results to ingest data for multi-measure attributes.
- target_multi_measure_name
The name of the target multi-measure name in the derived table.
This input is required when measureNameColumn is not provided. If MeasureNameColumn is provided, then value from that column will be used as multi-measure name.
NotificationConfigurationProperty
- class CfnScheduledQuery.NotificationConfigurationProperty(*, sns_configuration)
Bases:
object
Notification configuration for a scheduled query.
A notification is sent by Timestream when a scheduled query is created, its state is updated or when it is deleted.
- Parameters:
sns_configuration (
Union
[IResolvable
,SnsConfigurationProperty
,Dict
[str
,Any
]]) – Details on SNS configuration.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_timestream as timestream notification_configuration_property = timestream.CfnScheduledQuery.NotificationConfigurationProperty( sns_configuration=timestream.CfnScheduledQuery.SnsConfigurationProperty( topic_arn="topicArn" ) )
Attributes
- sns_configuration
Details on SNS configuration.
S3ConfigurationProperty
- class CfnScheduledQuery.S3ConfigurationProperty(*, bucket_name, encryption_option=None, object_key_prefix=None)
Bases:
object
Details on S3 location for error reports that result from running a query.
- Parameters:
bucket_name (
str
) – Name of the S3 bucket under which error reports will be created.encryption_option (
Optional
[str
]) – Encryption at rest options for the error reports. If no encryption option is specified, Timestream will choose SSE_S3 as default.object_key_prefix (
Optional
[str
]) – Prefix for the error report key. Timestream by default adds the following prefix to the error report path.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_timestream as timestream s3_configuration_property = timestream.CfnScheduledQuery.S3ConfigurationProperty( bucket_name="bucketName", # the properties below are optional encryption_option="encryptionOption", object_key_prefix="objectKeyPrefix" )
Attributes
- bucket_name
Name of the S3 bucket under which error reports will be created.
- encryption_option
Encryption at rest options for the error reports.
If no encryption option is specified, Timestream will choose SSE_S3 as default.
- object_key_prefix
Prefix for the error report key.
Timestream by default adds the following prefix to the error report path.
ScheduleConfigurationProperty
- class CfnScheduledQuery.ScheduleConfigurationProperty(*, schedule_expression)
Bases:
object
Configuration of the schedule of the query.
- Parameters:
schedule_expression (
str
) – An expression that denotes when to trigger the scheduled query run. This can be a cron expression or a rate expression.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_timestream as timestream schedule_configuration_property = timestream.CfnScheduledQuery.ScheduleConfigurationProperty( schedule_expression="scheduleExpression" )
Attributes
- schedule_expression
An expression that denotes when to trigger the scheduled query run.
This can be a cron expression or a rate expression.
SnsConfigurationProperty
- class CfnScheduledQuery.SnsConfigurationProperty(*, topic_arn)
Bases:
object
Details on SNS that are required to send the notification.
- Parameters:
topic_arn (
str
) – SNS topic ARN that the scheduled query status notifications will be sent to.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_timestream as timestream sns_configuration_property = timestream.CfnScheduledQuery.SnsConfigurationProperty( topic_arn="topicArn" )
Attributes
- topic_arn
SNS topic ARN that the scheduled query status notifications will be sent to.
TargetConfigurationProperty
- class CfnScheduledQuery.TargetConfigurationProperty(*, timestream_configuration)
Bases:
object
Configuration used for writing the output of a query.
- Parameters:
timestream_configuration (
Union
[IResolvable
,TimestreamConfigurationProperty
,Dict
[str
,Any
]]) – Configuration needed to write data into the Timestream database and table.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_timestream as timestream target_configuration_property = timestream.CfnScheduledQuery.TargetConfigurationProperty( timestream_configuration=timestream.CfnScheduledQuery.TimestreamConfigurationProperty( database_name="databaseName", dimension_mappings=[timestream.CfnScheduledQuery.DimensionMappingProperty( dimension_value_type="dimensionValueType", name="name" )], table_name="tableName", time_column="timeColumn", # the properties below are optional measure_name_column="measureNameColumn", mixed_measure_mappings=[timestream.CfnScheduledQuery.MixedMeasureMappingProperty( measure_value_type="measureValueType", # the properties below are optional measure_name="measureName", multi_measure_attribute_mappings=[timestream.CfnScheduledQuery.MultiMeasureAttributeMappingProperty( measure_value_type="measureValueType", source_column="sourceColumn", # the properties below are optional target_multi_measure_attribute_name="targetMultiMeasureAttributeName" )], source_column="sourceColumn", target_measure_name="targetMeasureName" )], multi_measure_mappings=timestream.CfnScheduledQuery.MultiMeasureMappingsProperty( multi_measure_attribute_mappings=[timestream.CfnScheduledQuery.MultiMeasureAttributeMappingProperty( measure_value_type="measureValueType", source_column="sourceColumn", # the properties below are optional target_multi_measure_attribute_name="targetMultiMeasureAttributeName" )], # the properties below are optional target_multi_measure_name="targetMultiMeasureName" ) ) )
Attributes
- timestream_configuration
Configuration needed to write data into the Timestream database and table.
TimestreamConfigurationProperty
- class CfnScheduledQuery.TimestreamConfigurationProperty(*, database_name, dimension_mappings, table_name, time_column, measure_name_column=None, mixed_measure_mappings=None, multi_measure_mappings=None)
Bases:
object
Configuration to write data into Timestream database and table.
This configuration allows the user to map the query result select columns into the destination table columns.
- Parameters:
database_name (
str
) – Name of Timestream database to which the query result will be written.dimension_mappings (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,DimensionMappingProperty
,Dict
[str
,Any
]]]]) – This is to allow mapping column(s) from the query result to the dimension in the destination table.table_name (
str
) – Name of Timestream table that the query result will be written to. The table should be within the same database that is provided in Timestream configuration.time_column (
str
) – Column from query result that should be used as the time column in destination table. Column type for this should be TIMESTAMP.measure_name_column (
Optional
[str
]) – Name of the measure column. Also seeMultiMeasureMappings
andMixedMeasureMappings
for how measure name properties on those relate toMeasureNameColumn
.mixed_measure_mappings (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,MixedMeasureMappingProperty
,Dict
[str
,Any
]]],None
]) – Specifies how to map measures to multi-measure records.multi_measure_mappings (
Union
[IResolvable
,MultiMeasureMappingsProperty
,Dict
[str
,Any
],None
]) – Multi-measure mappings.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_timestream as timestream timestream_configuration_property = timestream.CfnScheduledQuery.TimestreamConfigurationProperty( database_name="databaseName", dimension_mappings=[timestream.CfnScheduledQuery.DimensionMappingProperty( dimension_value_type="dimensionValueType", name="name" )], table_name="tableName", time_column="timeColumn", # the properties below are optional measure_name_column="measureNameColumn", mixed_measure_mappings=[timestream.CfnScheduledQuery.MixedMeasureMappingProperty( measure_value_type="measureValueType", # the properties below are optional measure_name="measureName", multi_measure_attribute_mappings=[timestream.CfnScheduledQuery.MultiMeasureAttributeMappingProperty( measure_value_type="measureValueType", source_column="sourceColumn", # the properties below are optional target_multi_measure_attribute_name="targetMultiMeasureAttributeName" )], source_column="sourceColumn", target_measure_name="targetMeasureName" )], multi_measure_mappings=timestream.CfnScheduledQuery.MultiMeasureMappingsProperty( multi_measure_attribute_mappings=[timestream.CfnScheduledQuery.MultiMeasureAttributeMappingProperty( measure_value_type="measureValueType", source_column="sourceColumn", # the properties below are optional target_multi_measure_attribute_name="targetMultiMeasureAttributeName" )], # the properties below are optional target_multi_measure_name="targetMultiMeasureName" ) )
Attributes
- database_name
Name of Timestream database to which the query result will be written.
- dimension_mappings
This is to allow mapping column(s) from the query result to the dimension in the destination table.
- measure_name_column
Name of the measure column.
Also see
MultiMeasureMappings
andMixedMeasureMappings
for how measure name properties on those relate toMeasureNameColumn
.
- mixed_measure_mappings
Specifies how to map measures to multi-measure records.
- multi_measure_mappings
Multi-measure mappings.
- table_name
Name of Timestream table that the query result will be written to.
The table should be within the same database that is provided in Timestream configuration.
- time_column
Column from query result that should be used as the time column in destination table.
Column type for this should be TIMESTAMP.