List Dataset Import Jobs
forecastservice_list_dataset_import_jobs | R Documentation |
Returns a list of dataset import jobs created using the CreateDatasetImportJob operation¶
Description¶
Returns a list of dataset import jobs created using the
create_dataset_import_job
operation. For each import job, this
operation returns a summary of its properties, including its Amazon
Resource Name (ARN). You can retrieve the complete set of properties by
using the ARN with the describe_dataset_import_job
operation. You can
filter the list by providing 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 datasets 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 datasets that match the statement, specifyIS
. To exclude matching datasets, specifyIS_NOT
.Key
- The name of the parameter to filter on. Valid values areDatasetArn
andStatus
.Value
- The value to match.
For example, to list all dataset import jobs whose status is ACTIVE, you specify the following filter:
"Filters": [ { "Condition": "IS", "Key": "Status", "Value": "ACTIVE" } ]
Value¶
A list with the following syntax:
list(
DatasetImportJobs = list(
list(
DatasetImportJobArn = "string",
DatasetImportJobName = "string",
DataSource = 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"
),
ImportMode = "FULL"|"INCREMENTAL"
)
),
NextToken = "string"
)