- Trifacta® Enterprise Edition
- Trifacta Professional Edition
- Trifacta Premium
Amazon DynamoDB is an easy-to-use online platform for creating and sharing non-relational document based databases. For more information, see https://aws.amazon.com/dynamodb/.
Limitations and Requirements
NOTE: During normal selection or import of an entire table, you may encounter an error indicating a problem with a specific column. Since some tables require filtering based on a particular column, data from them can only be ingested using custom SQL statements. In this case, the problematic column can be used as a filter in the WHERE clause of a custom SQL statement to ingest the table.
- For more information, please consult the CData driver documentation for the specific table.
- For more information on using custom SQL, see Create Dataset with SQL.
- Supports Access key ID and Secret access key.
via Trifacta application
When you create the connection, please review the following properties and specify them accordingly:
|Domain||Your AWS domain name. The default domain value is amazonaws.com.|
|AWS Region||The hosting region for your Amazon Web Services resources. Default is set to Oregon .|
|Connect String Options|
The following default value sets the connection timeout in seconds:
Setting this value to
|Access key ID||Your AWS account access key. This value is accessible from your AWS security credentials page.|
|Secret access key||Your AWS account secret key. This value is accessible from your AWS security credentials page.|
|Default Column Data Type Inference||Leave this value as |
For more information, see the driver documentation http://cdn.cdata.com/help/DDF/jdbc/Connection.htm
Depending on your product edition, you can create connections of this type. Key information:
For more information, seeTrifacta SaaS API Reference docs: Premium | Standard
Data Type Conversions
For more information, see the driver documentation http://cdn.cdata.com/help/DDF/jdbc/default.htm
Documents can contain other documents, which enables the storage of nested data. You can control the flattening of nested objects and arrays through the CData driver through Connect String Options.
NOTE: Columns that have been flattened can be accessed or referenced using custom SQL queries. Additional information is below.
By default, the CData driver flattens nested Objects. As needed, you can set FlattenObjects to
to disable this behavior.
In Amazon DynamoDB, objects are represented as Map datatype.
For more information, see http://cdn.cdata.com/help/DDF/jdbc/RSBDynamoDB_p_FlattenObjects.htm
By default, CData driver does not flatten Arrays.
As needed, you can configure the number of elements that you want to have returned in your flattened arrays.
In Amazon DynamoDB, Arrays are represented as NumberSet, StringSet ,or BinarySet datatypes.
NOTE: List datatype does not support flattening property.
For more information, see http://cdn.cdata.com/help/DDF/jdbc/RSBDynamoDB_p_FlattenArrays.htm.
Referencing flattened columns:
If you have flattened Objects or Arrays, you can reference these columns using square brackets in your custom SQL queries.
Example of flattened Object:
Example of flattened Array:
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