Creates (registers) a data catalog with the specified name and properties. Catalogs created are visible to all users of the same Amazon Web Services account.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
create-data-catalog
--name <value>
--type <value>
[--description <value>]
[--parameters <value>]
[--tags <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--name
(string)
The name of the data catalog to create. The catalog name must be unique for the Amazon Web Services account and can use a maximum of 127 alphanumeric, underscore, at sign, or hyphen characters. The remainder of the length constraint of 256 is reserved for use by Athena.
--type
(string)
The type of data catalog to create:
LAMBDA
for a federated catalog,HIVE
for an external hive metastore, orGLUE
for an Glue Data Catalog.Possible values:
LAMBDA
GLUE
HIVE
--description
(string)
A description of the data catalog to be created.
--parameters
(map)
Specifies the Lambda function or functions to use for creating the data catalog. This is a mapping whose values depend on the catalog type.
For the
HIVE
data catalog type, use the following syntax. Themetadata-function
parameter is required.The sdk-version
parameter is optional and defaults to the currently supported version. ``metadata-function=*lambda_arn* , sdk-version=*version_number* ``For the
LAMBDA
data catalog type, use one of the following sets of required parameters, but not both.
If you have one Lambda function that processes metadata and another for reading the actual data, use the following syntax. Both parameters are required. ``metadata-function=*lambda_arn* , record-function=*lambda_arn* ``
If you have a composite Lambda function that processes both metadata and data, use the following syntax to specify your Lambda function. ``function=*lambda_arn* ``
The
GLUE
type takes a catalog ID parameter and is required. The `` catalog_id `` is the account ID of the Amazon Web Services account to which the Glue Data Catalog belongs. ``catalog-id=*catalog_id* ``
The
GLUE
data catalog type also applies to the defaultAwsDataCatalog
that already exists in your account, of which you can have only one and cannot modify.Queries that specify a Glue Data Catalog other than the default
AwsDataCatalog
must be run on Athena engine version 2.In Regions where Athena engine version 2 is not available, creating new Glue data catalogs results in an
INVALID_INPUT
error.key -> (string)
value -> (string)
Shorthand Syntax:
KeyName1=string,KeyName2=string
JSON Syntax:
{"string": "string"
...}
--tags
(list)
A list of comma separated tags to add to the data catalog that is created.
(structure)
A label that you assign to a resource. In Athena, a resource can be a workgroup or data catalog. Each tag consists of a key and an optional value, both of which you define. For example, you can use tags to categorize Athena workgroups or data catalogs by purpose, owner, or environment. Use a consistent set of tag keys to make it easier to search and filter workgroups or data catalogs in your account. For best practices, see Tagging Best Practices . Tag keys can be from 1 to 128 UTF-8 Unicode characters, and tag values can be from 0 to 256 UTF-8 Unicode characters. Tags can use letters and numbers representable in UTF-8, and the following characters: + - = . _ : / @. Tag keys and values are case-sensitive. Tag keys must be unique per resource. If you specify more than one tag, separate them by commas.
Key -> (string)
A tag key. The tag key length is from 1 to 128 Unicode characters in UTF-8. You can use letters and numbers representable in UTF-8, and the following characters: + - = . _ : / @. Tag keys are case-sensitive and must be unique per resource.
Value -> (string)
A tag value. The tag value length is from 0 to 256 Unicode characters in UTF-8. You can use letters and numbers representable in UTF-8, and the following characters: + - = . _ : / @. Tag values are case-sensitive.
Shorthand Syntax:
Key=string,Value=string ...
JSON Syntax:
[
{
"Key": "string",
"Value": "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 catalog
The following create-data-catalog
example creates the dynamo_db_catalog
data catalog.
aws athena create-data-catalog \
--name dynamo_db_catalog \
--type LAMBDA \
--description "DynamoDB Catalog" \
--parameters function=arn:aws:lambda:us-west-2:111122223333:function:dynamo_db_lambda
This command produces no output. To see the result, use aws athena get-data-catalog --name dynamo_db_catalog
.
For more information, see Registering a Catalog: create-data-catalog in the Amazon Athena User Guide.
None