[ aws . iotanalytics ]
Creates a data store, which is a repository for messages.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
create-datastore
--datastore-name <value>
[--datastore-storage <value>]
[--retention-period <value>]
[--tags <value>]
[--file-format-configuration <value>]
[--datastore-partitions <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--datastore-name
(string)
The name of the data store.
--datastore-storage
(structure)
Where data in a data store is stored.. You can choose
serviceManagedS3
storage,customerManagedS3
storage, oriotSiteWiseMultiLayerStorage
storage. The default isserviceManagedS3
. You can’t change the choice of Amazon S3 storage after your data store is created.serviceManagedS3 -> (structure)
Used to store data in an Amazon S3 bucket managed by IoT Analytics. You can’t change the choice of Amazon S3 storage after your data store is created.
customerManagedS3 -> (structure)
S3-customer-managed; When you choose customer-managed storage, the
retentionPeriod
parameter is ignored. You can’t change the choice of Amazon S3 storage after your data store is created.bucket -> (string)
The name of the Amazon S3 bucket where your data is stored.
keyPrefix -> (string)
(Optional) The prefix used to create the keys of the data store data objects. Each object in an Amazon S3 bucket has a key that is its unique identifier in the bucket. Each object in a bucket has exactly one key. The prefix must end with a forward slash (/).
roleArn -> (string)
The ARN of the role that grants IoT Analytics permission to interact with your Amazon S3 resources.
iotSiteWiseMultiLayerStorage -> (structure)
Used to store data used by IoT SiteWise in an Amazon S3 bucket that you manage. You can’t change the choice of Amazon S3 storage after your data store is created.
customerManagedS3Storage -> (structure)
Used to store data used by IoT SiteWise in an Amazon S3 bucket that you manage.
bucket -> (string)
The name of the Amazon S3 bucket where your data is stored.
keyPrefix -> (string)
(Optional) The prefix used to create the keys of the data store data objects. Each object in an Amazon S3 bucket has a key that is its unique identifier in the bucket. Each object in a bucket has exactly one key. The prefix must end with a forward slash (/).
Shorthand Syntax:
serviceManagedS3={},customerManagedS3={bucket=string,keyPrefix=string,roleArn=string},iotSiteWiseMultiLayerStorage={customerManagedS3Storage={bucket=string,keyPrefix=string}}
JSON Syntax:
{
"serviceManagedS3": {
},
"customerManagedS3": {
"bucket": "string",
"keyPrefix": "string",
"roleArn": "string"
},
"iotSiteWiseMultiLayerStorage": {
"customerManagedS3Storage": {
"bucket": "string",
"keyPrefix": "string"
}
}
}
--retention-period
(structure)
How long, in days, message data is kept for the data store. When
customerManagedS3
storage is selected, this parameter is ignored.unlimited -> (boolean)
If true, message data is kept indefinitely.
numberOfDays -> (integer)
The number of days that message data is kept. The
unlimited
parameter must be false.
Shorthand Syntax:
unlimited=boolean,numberOfDays=integer
JSON Syntax:
{
"unlimited": true|false,
"numberOfDays": integer
}
--tags
(list)
Metadata which can be used to manage the data store.
(structure)
A set of key-value pairs that are used to manage the resource.
key -> (string)
The tag’s key.
value -> (string)
The tag’s value.
Shorthand Syntax:
key=string,value=string ...
JSON Syntax:
[
{
"key": "string",
"value": "string"
}
...
]
--file-format-configuration
(structure)
Contains the configuration information of file formats. IoT Analytics data stores support JSON and Parquet .
The default file format is JSON. You can specify only one format.
You can’t change the file format after you create the data store.
jsonConfiguration -> (structure)
Contains the configuration information of the JSON format.
parquetConfiguration -> (structure)
Contains the configuration information of the Parquet format.
schemaDefinition -> (structure)
Information needed to define a schema.
columns -> (list)
Specifies one or more columns that store your data.
Each schema can have up to 100 columns. Each column can have up to 100 nested types.
(structure)
Contains information about a column that stores your data.
name -> (string)
The name of the column.
type -> (string)
The type of data. For more information about the supported data types, see Common data types in the Glue Developer Guide .
JSON Syntax:
{
"jsonConfiguration": {
},
"parquetConfiguration": {
"schemaDefinition": {
"columns": [
{
"name": "string",
"type": "string"
}
...
]
}
}
}
--datastore-partitions
(structure)
Contains information about the partition dimensions in a data store.
partitions -> (list)
A list of partition dimensions in a data store.
(structure)
A single dimension to partition a data store. The dimension must be an
AttributePartition
or aTimestampPartition
.attributePartition -> (structure)
A partition dimension defined by an
attributeName
.attributeName -> (string)
The name of the attribute that defines a partition dimension.
timestampPartition -> (structure)
A partition dimension defined by a timestamp attribute.
attributeName -> (string)
The attribute name of the partition defined by a timestamp.
timestampFormat -> (string)
The timestamp format of a partition defined by a timestamp. The default format is seconds since epoch (January 1, 1970 at midnight UTC time).
JSON Syntax:
{
"partitions": [
{
"attributePartition": {
"attributeName": "string"
},
"timestampPartition": {
"attributeName": "string",
"timestampFormat": "string"
}
}
...
]
}
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml
.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
See ‘aws help’ for descriptions of global parameters.
Note
To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.
Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .
To create a data store
The following create-datastore
example creates a data store, which is a repository for messages.
aws iotanalytics create-datastore \
--cli-input-json file://create-datastore.json
Contents of create-datastore.json
:
{
"datastoreName": "mydatastore",
"retentionPeriod": {
"numberOfDays": 90
},
"tags": [
{
"key": "Environment",
"value": "Production"
}
]
}
Output:
{
"datastoreName": "mydatastore",
"datastoreArn": "arn:aws:iotanalytics:us-west-2:123456789012:datastore/mydatastore",
"retentionPeriod": {
"numberOfDays": 90,
"unlimited": false
}
}
For more information, see CreateDatastore in the AWS IoT Analytics API Reference.
datastoreName -> (string)
The name of the data store.
datastoreArn -> (string)
The ARN of the data store.
retentionPeriod -> (structure)
How long, in days, message data is kept for the data store.
unlimited -> (boolean)
If true, message data is kept indefinitely.
numberOfDays -> (integer)
The number of days that message data is kept. The
unlimited
parameter must be false.