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scheduled_queries

Creates, updates, deletes or gets a scheduled_query resource or lists scheduled_queries in a region

Overview

Namescheduled_queries
TypeResource
DescriptionThe AWS::Timestream::ScheduledQuery resource creates a Timestream Scheduled Query.
Idaws.timestream.scheduled_queries

Fields

NameDatatypeDescription
arnstringAmazon Resource Name of the scheduled query that is generated upon creation.
scheduled_query_namestringThe name of the scheduled query. Scheduled query names must be unique within each Region.
query_stringstringThe 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_configurationobjectConfiguration for when the scheduled query is executed.
notification_configurationobjectNotification 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.
client_tokenstringUsing 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 a ClientToken, the Query SDK generates a ClientToken on your behalf. After 8 hours, any request with the same ClientToken is treated as a new request.
scheduled_query_execution_role_arnstringThe ARN for the IAM role that Timestream will assume when running the scheduled query.
target_configurationobjectConfiguration of target store where scheduled query results are written to.
error_report_configurationobjectConfiguration for error reporting. Error reports will be generated when a problem is encountered when writing the query results.
kms_key_idstringThe 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 uses SSE_KMS as encryption type, the same KmsKeyId is used to encrypt the error report at rest.
sq_namestringThe name of the scheduled query. Scheduled query names must be unique within each Region.
sq_query_stringstringThe 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.
sq_schedule_configurationstringConfiguration for when the scheduled query is executed.
sq_notification_configurationstringNotification 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.
sq_scheduled_query_execution_role_arnstringThe ARN for the IAM role that Timestream will assume when running the scheduled query.
sq_target_configurationstringConfiguration of target store where scheduled query results are written to.
sq_error_report_configurationstringConfiguration for error reporting. Error reports will be generated when a problem is encountered when writing the query results.
sq_kms_key_idstringThe 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 uses SSE_KMS as encryption type, the same KmsKeyId is used to encrypt the error report at rest.
tagsarrayA list of key-value pairs to label the scheduled query.
regionstringAWS region.

Methods

NameAccessible byRequired Params
create_resourceINSERTQueryString, ScheduleConfiguration, NotificationConfiguration, ScheduledQueryExecutionRoleArn, ErrorReportConfiguration, region
delete_resourceDELETEdata__Identifier, region
update_resourceUPDATEdata__Identifier, data__PatchDocument, region
list_resourcesSELECTregion
get_resourceSELECTdata__Identifier, region

SELECT examples

Gets all scheduled_queries in a region.

SELECT
region,
arn,
scheduled_query_name,
query_string,
schedule_configuration,
notification_configuration,
client_token,
scheduled_query_execution_role_arn,
target_configuration,
error_report_configuration,
kms_key_id,
sq_name,
sq_query_string,
sq_schedule_configuration,
sq_notification_configuration,
sq_scheduled_query_execution_role_arn,
sq_target_configuration,
sq_error_report_configuration,
sq_kms_key_id,
tags
FROM aws.timestream.scheduled_queries
WHERE region = 'us-east-1';

Gets all properties from an individual scheduled_query.

SELECT
region,
arn,
scheduled_query_name,
query_string,
schedule_configuration,
notification_configuration,
client_token,
scheduled_query_execution_role_arn,
target_configuration,
error_report_configuration,
kms_key_id,
sq_name,
sq_query_string,
sq_schedule_configuration,
sq_notification_configuration,
sq_scheduled_query_execution_role_arn,
sq_target_configuration,
sq_error_report_configuration,
sq_kms_key_id,
tags
FROM aws.timestream.scheduled_queries
WHERE region = 'us-east-1' AND data__Identifier = '<Arn>';

INSERT example

Use the following StackQL query and manifest file to create a new scheduled_query resource, using stack-deploy.

/*+ create */
INSERT INTO aws.timestream.scheduled_queries (
QueryString,
ScheduleConfiguration,
NotificationConfiguration,
ScheduledQueryExecutionRoleArn,
ErrorReportConfiguration,
region
)
SELECT
'{{ QueryString }}',
'{{ ScheduleConfiguration }}',
'{{ NotificationConfiguration }}',
'{{ ScheduledQueryExecutionRoleArn }}',
'{{ ErrorReportConfiguration }}',
'{{ region }}';

DELETE example

/*+ delete */
DELETE FROM aws.timestream.scheduled_queries
WHERE data__Identifier = '<Arn>'
AND region = 'us-east-1';

Permissions

To operate on the scheduled_queries resource, the following permissions are required:

Create

timestream:CreateScheduledQuery,
timestream:DescribeEndpoints

Read

timestream:DescribeScheduledQuery,
timestream:ListTagsForResource,
timestream:DescribeEndpoints

Update

timestream:UpdateScheduledQuery,
timestream:TagResource,
timestream:UntagResource,
timestream:DescribeEndpoints

Delete

timestream:DeleteScheduledQuery,
timestream:DescribeEndpoints

List

timestream:ListScheduledQueries,
timestream:DescribeEndpoints