List Forecast Export Jobs
forecastservice_list_forecast_export_jobs | R Documentation |
Returns a list of forecast export jobs created using the CreateForecastExportJob operation¶
Description¶
Returns a list of forecast export jobs created using the
create_forecast_export_job
operation. For each forecast export job,
this operation returns a summary of its properties, including its Amazon
Resource Name (ARN). To retrieve the complete set of properties, use the
ARN with the describe_forecast_export_job
operation. You can filter
the list using an array of Filter objects.
Usage¶
Arguments¶
NextToken
If the result of the previous request was truncated, the response includes a
NextToken
. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.MaxResults
The number of items to return in the response.
Filters
An array of filters. For each filter, you provide a condition and a match statement. The condition is either
IS
orIS_NOT
, which specifies whether to include or exclude the forecast export jobs that match the statement from the list, respectively. The match statement consists of a key and a value.Filter properties
Condition
- The condition to apply. Valid values areIS
andIS_NOT
. To include the forecast export jobs that match the statement, specifyIS
. To exclude matching forecast export jobs, specifyIS_NOT
.Key
- The name of the parameter to filter on. Valid values areForecastArn
andStatus
.Value
- The value to match.
For example, to list all jobs that export a forecast named electricityforecast, specify the following filter:
"Filters": [ { "Condition": "IS", "Key": "ForecastArn", "Value": "arn:aws:forecast:us-west-2:<acct-id>:forecast/electricityforecast" } ]
Value¶
A list with the following syntax:
list(
ForecastExportJobs = list(
list(
ForecastExportJobArn = "string",
ForecastExportJobName = "string",
Destination = list(
S3Config = list(
Path = "string",
RoleArn = "string",
KMSKeyArn = "string"
)
),
Status = "string",
Message = "string",
CreationTime = as.POSIXct(
"2015-01-01"
),
LastModificationTime = as.POSIXct(
"2015-01-01"
)
)
),
NextToken = "string"
)