Adding a Connection to Amazon DynamoDB

1. In the application console, navigate to the Connections page.
2. At the Add Connections panel, select the icon for the connection you want to add.
3. If the Amazon DynamoDB icon is not available, click the Add More icon to download and install the Amazon DynamoDB connector from the CData site.

For required properties, see the Settings tab.

For connection properties that are not typically required, see the Advanced tab.

Connecting to DynamoDB

Specify the following to connect to data:

• Domain: Set this if you want to use a domain name you have associated with AWS.
• AWSRegion: Set this to the region where your Amazon DynamoDB data is hosted.

Authenticating to DynamoDB

Obtain AWS Keys

To obtain the credentials for an IAM user:

1. Sign into the IAM console.
2. In the navigation pane, select Users.
3. To create or manage the access keys for a user, select the user and then navigate to the Security Credentials tab.

To obtain the credentials for your AWS root account:

1. Sign into the AWS Management console with the credentials for your root account.
2. Select your account name or number.
3. In the menu that displays, select My Security Credentials.
4. To manage or create root account access keys, click Continue to Security Credentials and expand the "Access Keys" section.

Root Credentials

To authenticate using account root credentials, set these parameters:

• AuthScheme: AwsRootKeys.
• AWSAccessKey: The access key associated with the AWS root account.
• AWSSecretKey: The secret key associated with the AWS root account.

Note: Amazon discourages using root credentials for anything beyond simple testing. The account root credentials have the full permissions of the user, posing a security risk and making this the least secure authentication method.

If multi-factor authentication is required, specify the following:

• CredentialsLocation: The location of the settings file where MFA credentials are saved.
• MFASerialNumber: The serial number of the MFA device if one is being used.
• MFAToken: The temporary token available from your MFA device.

Note: If you want to control the duration of the temporary credentials, set the TemporaryTokenDuration property (default: 3600 seconds).

Temporary Credentials

To authenticate using temporary credentials, specify the following:

• AuthScheme: TemporaryCredentials.
• AWSAccessKey: The access key of the IAM user who will assume the role.
• AWSSecretKey: The secret key of the IAM user who will assume the role.
• AWSSessionToken: Your AWS session token, provided with your temporary credentials. For details, see AWS Identity and Access Management User Guide.

The Sync App can now request resources using the same permissions provided by long-term credentials (such as IAM user credentials) for the lifespan of the temporary credentials.

To authenticate using both temporary credentials and an IAM role, set all the parameters described above, and specify these additional parameters:

• AWSRoleARN: The Role ARN for the role you'd like to authenticate with. This prompts the Sync App to retrieve credentials for the specified role.
• AWSExternalId (optional): Only required if you are assuming a role in another AWS account.

If multi-factor authentication is required, specify the following:

• CredentialsLocation: The location of the settings file where MFA credentials are saved.
• MFASerialNumber: The serial number of the MFA device if one is being used.
• MFAToken: The temporary token available from your MFA device.

Note: If you want to control the duration of the temporary credentials, set the TemporaryTokenDuration property (default: 3600 seconds).

Using AWS From an EC2 Instance

Set AuthScheme to AwsEC2Roles.

If you are using the Sync App from an EC2 Instance and have an IAM Role assigned to the instance, you can use the IAM Role to authenticate. Since the Sync App automatically obtains your IAM Role credentials and authenticates with them, it is not necessary to specify AWSAccessKey and AWSSecretKey.

If you are also using an IAM role to authenticate, you must additionally specify the following:

• AWSRoleARN: Specify the Role ARN for the role you'd like to authenticate with. This causes the Sync App to attempt to retrieve credentials for the specified role.
• AWSExternalId (optional): Only required if you are assuming a role in another AWS account.

IMDSv2 Support

The Amazon DynamoDB Sync App now supports IMDSv2. Unlike IMDSv1, the new version requires an authentication token. Endpoints and response are the same in both versions.

In IMDSv2, the Amazon DynamoDB Sync App first attempts to retrieve the IMDSv2 metadata token and then uses it to call AWS metadata endpoints. If it is unable to retrieve the token, the Sync App reverts to IMDSv1.

AWS Web Identity

Set AuthScheme to AwsWebIdentity.

If you are either using Amazon DynamoDB from a container configured to assume role with web identity (such as a Pod in an EKS cluster with an OpenID Provider) or have authenticated with a web identity provider associated with an IAM role (and have thus obtained an identity token), you can exchange the web identity token and IAM role information for temporary security credentials to authenticate and access AWS services.

If the container has AWS_ROLE_ARN and AWS_WEB_IDENTITY_TOKEN_FILE specified in the environment variables, Amazon DynamoDB automatically obtains the credentials.

You can also authenticate by specifying both AWSRoleARN and AWSWebIdentityToken to execute the AssumeRoleWithWebIdentity API operation.

AWS IAM Roles

To authenticate as an AWS role, set these properties:

• AWSAccessKey: The access key of the IAM user to assume the role for.
• AWSSecretKey: The secret key of the IAM user to assume the role for.
• AWSRoleARN: Specify the Role ARN for the role you'd like to authenticate with. This will cause the Sync App to attempt to retrieve credentials for the specified role.
• AWSExternalId (optional): Only required if you are assuming a role in another AWS account.

If multi-factor authentication is required, specify the following:

• CredentialsLocation: The location of the settings file where MFA credentials are saved.
• MFASerialNumber: The serial number of the MFA device if one is being used.
• MFAToken: The temporary token available from your MFA device.

Note: If you want to control the duration of the temporary credentials, set the TemporaryTokenDuration property (default: 3600 seconds).

Note: In some circumstances it might be preferable to use an IAM role for authentication, rather than the direct security credentials of an AWS root user. If you are specifying the AWSAccessKey and AWSSecretKey of an AWS root user, you cannot use roles.

ADFS

To connect to ADFS, set these properties:

• AuthScheme: ADFS.
• User: The authenticating ADFS user.
• Password: The password of the authenticating ADFS user.
• SSOLoginURL: The SSO provider's login URL.

Example connection string:

AuthScheme=ADFS; AWSRegion=Ireland; [email protected]; Password=CH8WerW121235647iCa6; SSOLoginURL='https://adfs.domain.com'; AWSRoleArn=arn:aws:iam::1234:role/ADFS_SSO; AWSPrincipalArn=arn:aws:iam::1234:saml-provider/ADFSProvider; S3StagingDirectory=s3://athena/staging;

ADFS Integrated

The ADFS Integrated flow indicates you are connecting with the user credentials of the currently logged in Windows user. To use the ADFS Integrated flow, do not specify the User and Password, but otherwise follow the same steps noted above under ADFS.

Okta

To connect to Okta, set these properties:

• AuthScheme: Okta.
• User: The authentiating Okta user.
• Password: The password of the authenticating Okta user.
• SSOLoginURL: The SSO provider's login URL.

If you are either using a trusted application or proxy that overrides the Okta client request OR configuring MFA, you must use combinations of SSOProperties to authenticate using Okta. Set any of the following, as applicable:

• APIToken: When authenticating a user via a trusted application or proxy that overrides the Okta client request context, set this to the API Token the customer created from the Okta organization.
• MFAType: If you have configured the MFA flow, set this to one of the following supported types: OktaVerify, Email, or SMS.
• MFAPassCode: If you have configured the MFA flow, set this to a valid passcode.
  If you set this to empty or an invalid value, the Sync App issues a one-time password challenge to your device or email. After the passcode is received, reopen the connection where the retrieved one-time password value is set to the MFAPassCode connection property.
• MFARememberDevice: True by default. Okta supports remembering devices when MFA is required. If remembering devices is allowed according to the configured authentication policies, the Sync App sends a device token to extend MFA authentication lifetime. If you do not want MFA to be remembered, set this variable to False.

Example connection string:

AuthScheme=Okta; AWSRegion=Ireland; [email protected]; Password=CH8WerW121235647iCa6; SSOLoginURL='https://cdata-us.okta.com/home/amazon_aws/0oa35m8arsAL5f5NrE6NdA356/272'; SSOProperties='ApiToken=01230GGG2ceAnm_tPAf4MhiMELXZ0L0N1pAYrO1VR-hGQSf;'; AWSRoleArn=arn:aws:iam::1234:role/Okta_SSO; AWSPrincipalARN=arn:aws:iam::1234:saml-provider/OktaProvider; S3StagingDirectory=s3://athena/staging;

PingFederate

• AuthScheme: PingFederate.
• User: The authenticating PingFederate user.
• Password: The authenticating user's PingFederate password.
• SSOLoginURL: The SSO provider's login URL.
• AWSRoleARN (optional): If you have multiple role ARNs, specify the one you want to use for authorization.
• AWSPrincipalARN (optional): If you have multiple principal ARNs, specify the one you want to use for authorization.
• SSOExchangeURL: The Partner Service Identifier URI configured in your PingFederate server instance under: SP Connections > SP Connection > WS-Trust > Protocol Settings. This should uniquely identify a PingFederate SP Connection, so it is a good idea to set it to your AWS SSO ACS URL. You can find it under AWS SSO > Settings > View Details next to the Authentication field.
• SSOProperties (optional): If you want to include your username and password as an authorization header in requests to Amazon S3, set this to Authscheme=Basic.

To enable mutual SSL authentication for SSOLoginURL, the WS-Trust STS endpoint, configure these SSOProperties:

• SSLClientCert
• SSLClientCertType
• SSLClientCertSubject
• SSLClientCertPassword

Example connection string:

authScheme=pingfederate;SSOLoginURL=https://mycustomserver.com:9033/idp/sts.wst;SSOExchangeUrl=https://us-east-1.signin.aws.amazon.com/platform/saml/acs/764ef411-xxxxxx;user=admin;password=PassValue;AWSPrincipalARN=arn:aws:iam::215338515180:saml-provider/pingFederate;AWSRoleArn=arn:aws:iam::215338515180:role/SSOTest2;

Credentials Files

You can use any credentials file to authenticate, including any configurations related to AccessKey/SecretKey authentication, temporary credentials, role authentication, or MFA.

To do this, set these properties:

• AuthScheme: AwsCredentialsFile.
• AWSCredentialsFile: The location of your credentials file.
• AWSCredentialsFileProfile (optional): The name of the profile you would like to use from the specified credentials file. If not specified, the default profile is used.

AWS Cognito Credentials

If you want to use the Sync App with a user registered in a User Pool in AWS Cognito, set these properties:

• AuthScheme: Either AwsCognitoSrp (recommended) or AwsCognitoBasic.
• AWSCognitoRegion: The User Pool region.
• AWSUserPoolId: The User Pool ID.
• AWSUserPoolClientAppId: The User Pool Client App ID.
• AWSUserPoolClientAppSecret: The User Pool Client Secret.
• AWSIdentityPoolId: The Identity Pool ID of the Identity Pool that is linked with the User Pool.
• User: The username of the user registered in the User Pool.
• Password: The password of the user registered in the User Pool.

Inferring the Data Type

You can use the following properties to configure automatic data type detection, which is enabled by default.

• TypeDetectionScheme: You can use this property to enable or disable automatic type detection based on the value specified in RowScanDepth.
• RowScanDepth: This property determines the number of rows that will be scanned to determine column data types.
• IgnoreTypes: The data types that should be ignored and resolve to varchar data types. By default, Date, Time, and Datetime types are ignored. This is because Amazon DynamoDB does not support them as types. Any filtering of these columns may be done only as their original varchar data type.

Fine Tuning Data Access

You can use the following properties to gain greater control over Amazon DynamoDB API features and the strategies the Sync App uses to surface them:

• UseSimpleNames: Amazon DynamoDB supports attribute names with special characters that many database-oriented tools do not support.

  In addition, Amazon DynamoDB table names can include dots and dashes -- the Sync App interprets dots within table names as hierarchy separators that enable you to drill down to nested fields, similar to XPath.

  You can use this property to replace any nonalphanumeric character with an underscore.

• SeparatorCharacter: You can use this property to more easily access nested fields when Querying Documents and Lists; specify the hierarchy separator with this property. By default, this character is the '.' (dot) character.

Setting a Retry Interval

You can set the following properties to retry queries instead of returning a temporary error such as "maximum throughput exceeded":

• RetryWaitTime: The minimum number of milliseconds the Sync App will wait to retry a request.
• MaximumRequestRetries: The maximum number of times to retry a request.

The CData Sync App also has two seperate APIs that may be used depending on the query, PartiQL and Scan. The API that is used depends on the query that is executed.

PartiQL

Using Paging Effectively

You can use the Pagesize property to optimize use of your provisioned throughput, based on the size of your items and Amazon DynamoDB's 1MB page size. Set this property to the number of items to return.

Generally, a smaller page size reduces spikes in throughput that cause throttling. A smaller page size also inserts pauses between requests. This interval evens out the distribution of requests and allows more requests to be successful by avoiding throttling.

Scans

The ThreadCount connection property may be set to influence how many threads will be used when executing a Scan request. Using more threads will cause more memory to be taken up, but will result in faster results per thread. The default is 4. This works best on tables where a high or variable throughput is provisioned.

In cases where the maximum throughput for a table would be exceeded on a single thread, there is no benefit to using a Scan over the single threaded PartiQL API. The Amazon DynamoDB will simply throttle all threads until the maximum throughput is no longer exceeded.

We recommend using predefined roles for services rather than creating custom IAM policies. Predefined roles for Amazon DynamoDB are

• AmazonDynamoDBReadOnlyAccess-grants read-only access to DynamoDB resources through the AWS Management Console.
• AmazonDynamoDBFullAccess-grants full access to DynamoDB resources through the AWS Management Console.

          "Resource": [
              "arn:aws:dynamodb:us-east-1:987654321098:table/Customers",
              "arn:aws:dynamodb:us-east-1:987654321098:table/Orders"
          ]

      {
          "Effect": "Allow",
          "Action": [
              "dynamodb:DescribeTable"
          ],
          "Resource": [
              "arn:aws:dynamodb:us-east-1:987654321098:table/Customers",
              "arn:aws:dynamodb:us-east-1:987654321098:table/Orders"
          ]
      }

"Resource": "arn:aws:dynamodb:us-east-1:987654321098:table/*"

Amazon DynamoDB is a schemaless database that provides high performance, availability, and scalability. These features are not necessarily incompatible with a standards-compliant query language like SQL-92. In this section we will show various schemes that the Sync App offers to bridge the gap with relational SQL and a document database.

The Sync App models the schemaless Amazon DynamoDB tables into relational tables and translates SQL queries into Amazon DynamoDB queries to get the requested data.

The Automatic Schema Discovery scheme automatically finds the data types in a Amazon DynamoDB table by scanning a configured number of rows of the table. You can use RowScanDepth, FlattenArrays, and FlattenObjects to control the relational representation of the tables in Amazon DynamoDB.

The Sync App automatically infers a relational schema by inspecting a series of Amazon DynamoDB documents in a collection. You can use the RowScanDepth property to define the number of documents the Sync App will scan to do so. The columns identified during the discovery process depend on the FlattenArrays and FlattenObjects properties.

Flattening Objects

If FlattenObjects is set, all nested objects will be flattened into a series of columns. For example, consider the following document:

{
  id: 12,
  name: "Lohia Manufacturers Inc.",
  address: {street: "Main Street", city: "Chapel Hill", state: "NC"},
  offices: ["Chapel Hill", "London", "New York"],
  annual_revenue: 35,600,000
}

If FlattenObjects is not set, then the address.street, address.city, and address.state columns will not be broken apart. The address column of type string will instead represent the entire object. Its value would be {street: "Main Street", city: "Chapel Hill", state: "NC"}. See JSON Functions for more details on working with JSON aggregates.

You can change the separator character in the column name from a dot by setting SeparatorCharacter.

Flattening Arrays

The FlattenArrays property can be used to flatten array values into columns of their own. This is only recommended for arrays that are expected to be short, for example the coordinates below:

"coord": [ -73.856077, 40.848447 ]

It is best to leave other unbounded arrays as they are and piece out the data for them as needed using JSON Functions.

It is possible to retrieve an array of objects as if it were a separate table. Take the following JSON structure from the restaurants table for example:

{
  "restaurantid" : "30075445",
  "address" : {
    "building" : "1007",
    "coord" : [-73.856077, 40.848447],
    "street" : "Morris Park Ave",
    "zipcode" : "10462"
  },
  "borough" : "Bronx",
  "cuisine" : "Bakery",
  "grades" : [{
      "date" : 1393804800000,
      "grade" : "B",
      "score" : 2
    }, {
      "date" : 1378857600000,
      "grade" : "A",
      "score" : 6
    }, {
      "date" : 1358985600000,
      "grade" : "A",
      "score" : 10
    }],
  "name" : "Morris Park Bake Shop"
}

SELECT * FROM [restaurants.grades]

The grades array could also be nested some levels deeper. In that case, the same syntax should be used:

SELECT * FROM [restaurants.cuisine.bakery.grades]

{
  "restaurantid" : "30075445",
  "reviews": [
   {
    "grades": [
     {
      "date": 1393804800000,
      "score": 2,
      "grade": "B"
     },
     {
      "date": 1378857600000,
      "score": 6,
      "grade": "A"
     },
     {
      "date": 1358985600000,
      "score": 10,
      "grade": "A"
     }]
    }],
  "name" : "Morris Park Bake Shop"
}

SELECT * FROM [restaurants.reviews.\[0\].grades]

The Sync App can return JSON structures as column values. The Sync App enables you to use standard SQL functions to work with these JSON structures. The examples in this section use the following array:

[
     { "grade": "A", "score": 2 },
     { "grade": "A", "score": 6 },
     { "grade": "A", "score": 10 },
     { "grade": "A", "score": 9 },
     { "grade": "B", "score": 14 }
]

JSON_EXTRACT

SELECT Name, JSON_EXTRACT(grades,'[0].grade') AS Grade, JSON_EXTRACT(grades,'[0].score') AS Score FROM Students;

JSON_COUNT

SELECT Name, JSON_COUNT(grades,'[x]') AS NumberOfGrades FROM Students;

JSON_SUM

SELECT Name, JSON_SUM(score,'[x].score') AS TotalScore FROM Students;

JSON_MIN

SELECT Name, JSON_MIN(score,'[x].score') AS LowestScore FROM Students;

JSON_MAX

SELECT Name, JSON_MAX(score,'[x].score') AS HighestScore FROM Students;

DOCUMENT

The DOCUMENT function can be used to retrieve the entire document as a JSON string. See the following query and its result as an example:

SELECT DOCUMENT(*) FROM Customers;

{ "id": 12, "name": "Lohia Manufacturers Inc.", "address": { "street": "Main Street", "city": "Chapel Hill", "state": "NC"}, "offices": [ "Chapel Hill", "London", "New York" ], "annual_revenue": 35,600,000 }

Because Amazon DynamoDB is a NoSQL data source, queries need to be handled a bit differently than standard relational databases.

Value-Sensitive Queries

The lack of a required data type for a given column means that you could store different types of data in a single column. For instance, one row could have a String called EmailAddresses and another could have a StringSet also called EmailAddresses. For these and other kinds of cases, the Sync App largely determines what data type to use based on the values in the query.

For instance, say you have an Items table where the PartNumber could store either a String or a Number. To get back a part with the PartNumber of the number value 12345, you would issue the following query:

SELECT Name, Location, Quantity, PartNumber FROM Items WHERE PartNumber = 12345

Alternatively, the PartNumber could have been stored as the string "12345". To get back a part with the PartNumber of the literal string 12345, issue the following query:

SELECT Name, Location, Quantity, PartNumber FROM Items WHERE PartNumber = '12345'

Detected Column Data Type

If a value is not obvious based purely on the detected data type, the Sync App compares it to the autodetected column. For instance, if you want to insert a column called Coordinates into the Location table, your INSERT would look like:

INSERT INTO Locations (Address, Coordinates) VALUES ('123 Fake Street', '[40.7127, 74.0059]')

If a Coordinates column was not autodetected when scanning the Locations table, the data type of the inserted value is used.

In this case, we could still resolve that the INSERT is a NumberSet, but it will cost a bit more overhead to do this.

Count

Amazon DynamoDB supports 2 different methods of of using the COUNT aggregate function. To simply return the number of Items in you table, issue the following query:

SELECT COUNT(*) FROM MyTable

Issuing the below example queries will instead scan the full table for count:

SELECT COUNT(*) FROM MyTable WHERE MyInt > 10
SELECT COUNT(MyInt) FROM MyTable

Amazon DynamoDB documents and lists are supported with the CData Sync App. You can access documents and lists directly at the root level or use the '.' character as a hierarchy divider to drill down to documents and lists.

Reporting Values in Documents and Lists

When data types are autodetected, they are reported down to the lowest level that can be reliably detected. For instance, a document called Customer with a child called Address and a child on Address called Street would be represented by the column Customer.Address.Street.

However, this process does not apply to Lists since a list could have any number of entries. Once a List or a Set is detected, additional values are not reported as being available in the table schema.

Getting Back Unreported Values

If there are attributes that frequently do not have a value and thus are not autodetected, these can still be retrieved by specifying the correct path to them. For instance, to get the Special attribute from the Customer document:

SELECT [Customer.Address.Street], [Customer.Special] FROM MyTable

SELECT [MyList.0], [MyList.1.Email], [MyList.1.Age] FROM MyTable

Inserting Documents and Lists

INSERTs in Amazon DynamoDB require that the full object is specified. Insert a document or list at the root. Pass in the full JSON aggregate. For instance:

INSERT INTO MyTable (PrimaryKey, EmailAddresses, Address, MyList) VALUES ('uniquekey', '["[email protected]", "[email protected]"]', '{"Street":"123 Fake Street", "City":"Chapel Hill", "Zip":"27713"}', '[{"S":"somestr"},{"NS":[1,2]},{"N":4}]')

Updating Documents and Lists

Updates are supported using the same syntax that is available during selects. Documents and Lists can be specified using the '.' character to specify hierarchy. For instance:

UPDATE MyTable SET [EmailAddress.0]='[email protected]', [EmailAddress.1]='[email protected]', [Address.Street]='123 Fake Street', [Address.City]='Chapel Hill', [Address.Zip]='27713', [MyList.0]='somestr', [MyList.1]='[1,2]', [MyList.2]=4 WHERE PrimaryKey='uniquekey'

Data Type Mappings

The Sync App maps types from the data source to the corresponding data type available in the schema. Additionally, we will attemp to scan the available data coming back based on the IgnoreTypes connection property. The table below documents these mappings.

Note that depending on the settings of IgnoreTypes, some of these types may not be detected by default. Date, datetime, and time for example are ignored by default as they cannot be filtered server side, and may be inserted / updated in a different format than your existing entries if enabled. Please use caution when enabling them.

FlattenArrays and FlattenObjects may also be used to to flatten the StringSets, NumberSets, BinarySets, Maps, and Lists into indivudal columns.

In addition to Automatic Schema Discovery the Sync App also allows you to statically define the schema for your Amazon DynamoDB table. Let's consider a schema for the restaurants data set.

Below is an example item from the table:

{
   "address":{
      "building":"461",
      "coord":[
         -74.138492,
         40.631136
      ],
      "street":"Port Richmond Ave",
      "zipcode":"10302"
   },
   "borough":"Staten Island",
   "cuisine":"Other",
   "grades":[

   ],
   "name":"Indian Oven",
   "restaurant_id":"50018994"
}

Defining a Custom Schema

The following schema uses the other:path property to define where the data for a particular column should be retrieved from. Using this model you can flatten arbitrary levels of hierarchy.

The 'other:tableapiname' attribute specifies the table to parse. This attribute gives you the flexibility to use multiple schemas for the same table.

In Custom Schema Example, you will find the complete schema that contains the example above.

<api:info title="StaticRestaurants" other:catalog="CData" other:schema="AmazonDynamoDB" description="StaticRestaurants" other:tableapiname="StaticRestaurants"  other:version="20">
  <attr   name="id"      xs:type="decimal"   key="true"   columnsize="17"     precision="38"   scale="6"   readonly="false"   description="Dynamic Column."   other:dynamodatatype="N"   other:relativepath="restaurant_id"   other:filterable="true"   other:fullpath="restaurant_id"      other:apiname="&amp;quot;restaurant_id&amp;quot;"                          />
  <attr   name="borough"            xs:type="string"                 columnsize="2000"                                readonly="false"   description="Dynamic Column."   other:dynamodatatype="S"   other:relativepath="borough"         other:filterable="true"   other:fullpath="borough"            other:apiname="&amp;quot;borough&amp;quot;"                                />
  <attr   name="address_zipcode"    xs:type="int"                    columnsize="4"      precision="10"               readonly="false"   description="Dynamic Column."   other:dynamodatatype="S"   other:relativepath="zipcode"         other:filterable="true"   other:fullpath="address.zipcode"    other:apiname="&amp;quot;address&amp;quot;.&amp;quot;zipcode&amp;quot;"    />
  <attr   name="address_coord_0"    xs:type="double"                 columnsize="8"      precision="15"               readonly="false"   description="Dynamic Column."   other:dynamodatatype="N"   other:relativepath="coord"           other:filterable="true"   other:fullpath="address.coord[0]"   other:apiname="&amp;quot;address&amp;quot;.&amp;quot;coord&amp;quot;[0]"   />
  <attr   name="address_coord_1"    xs:type="double"                 columnsize="8"      precision="15"               readonly="false"   description="Dynamic Column."   other:dynamodatatype="N"   other:relativepath="coord[1]"        other:filterable="true"   other:fullpath="address.coord[1]"   other:apiname="&amp;quot;address&amp;quot;.&amp;quot;coord&amp;quot;[1]"   />
  <attr   name="address_building"   xs:type="int"                    columnsize="4"      precision="10"               readonly="false"   description="Dynamic Column."   other:dynamodatatype="S"   other:relativepath="building"        other:filterable="true"   other:fullpath="address.building"   other:apiname="&amp;quot;address&amp;quot;.&amp;quot;building&amp;quot;"   />
  <attr   name="address_street"     xs:type="string"                 columnsize="2000"                                readonly="false"   description="Dynamic Column."   other:dynamodatatype="S"   other:relativepath="street"          other:filterable="true"   other:fullpath="address.street"     other:apiname="&amp;quot;address&amp;quot;.&amp;quot;street&amp;quot;"     />
  <attr   name="name"               xs:type="string"                 columnsize="2000"                                readonly="false"   description="Dynamic Column."   other:dynamodatatype="S"   other:relativepath="name"            other:filterable="true"   other:fullpath="name"               other:apiname="&amp;quot;name&amp;quot;"                                   />
  <attr   name="cuisine"            xs:type="string"                 columnsize="2000"                                readonly="false"   description="Dynamic Column."   other:dynamodatatype="S"   other:relativepath="cuisine"         other:filterable="true"   other:fullpath="cuisine"            other:apiname="&amp;quot;cuisine&amp;quot;"                                />
</api:info>

This section contains a complete schema. The info section enables a relational view of a Amazon DynamoDB table. For more details, see Custom Schema Definitions. The table below allows the SELECT, INSERT, UPDATE, and DELETE commands as implemented in the GET, POST, MERGE, and DELETE sections of the schema below. Set the Location property to the file directory that will contain the schema file.

Use the 'other:tableapiname' attribute to specify the name of the Amazon DynamoDB table you want to parse. You can use the 'other:tableapiname' attribute to define multiple schemas for the same table. Note: Amazon DynamoDB is case sensitive. Your table name and specified paths must match the case of how your fields appear in Amazon DynamoDB.

The operations, such as dynamodbadoProviderOperationCaller, are internal implementations and can also be copied as is.

<api:script xmlns:api="http://apiscript.com/ns?v1" xmlns:xs="http://www.cdata.com/ns/rsbscript/2" xmlns:other="http://apiscript.com/ns?v1">
  <api:info title="StaticRestaurants" other:catalog="CData" other:schema="AmazonDynamoDB" description="StaticRestaurants" other:tableapiname="StaticRestaurants"  other:version="20">
    <attr   name="id"      xs:type="decimal"   key="true"   columnsize="17"     precision="38"   scale="6"   readonly="false"   description="Dynamic Column."   other:dynamodatatype="N"   other:relativepath="restaurant_id"   other:filterable="true"   other:fullpath="restaurant_id"      other:apiname="&amp;quot;restaurant_id&amp;quot;"                          />
    <attr   name="borough"            xs:type="string"                 columnsize="2000"                                readonly="false"   description="Dynamic Column."   other:dynamodatatype="S"   other:relativepath="borough"         other:filterable="true"   other:fullpath="borough"            other:apiname="&amp;quot;borough&amp;quot;"                                />
    <attr   name="address_zipcode"    xs:type="int"                    columnsize="4"      precision="10"               readonly="false"   description="Dynamic Column."   other:dynamodatatype="S"   other:relativepath="zipcode"         other:filterable="true"   other:fullpath="address.zipcode"    other:apiname="&amp;quot;address&amp;quot;.&amp;quot;zipcode&amp;quot;"    />
    <attr   name="address_coord_0"    xs:type="double"                 columnsize="8"      precision="15"               readonly="false"   description="Dynamic Column."   other:dynamodatatype="N"   other:relativepath="coord"           other:filterable="true"   other:fullpath="address.coord[0]"   other:apiname="&amp;quot;address&amp;quot;.&amp;quot;coord&amp;quot;[0]"   />
    <attr   name="address_coord_1"    xs:type="double"                 columnsize="8"      precision="15"               readonly="false"   description="Dynamic Column."   other:dynamodatatype="N"   other:relativepath="coord[1]"        other:filterable="true"   other:fullpath="address.coord[1]"   other:apiname="&amp;quot;address&amp;quot;.&amp;quot;coord&amp;quot;[1]"   />
    <attr   name="address_building"   xs:type="int"                    columnsize="4"      precision="10"               readonly="false"   description="Dynamic Column."   other:dynamodatatype="S"   other:relativepath="building"        other:filterable="true"   other:fullpath="address.building"   other:apiname="&amp;quot;address&amp;quot;.&amp;quot;building&amp;quot;"   />
    <attr   name="address_street"     xs:type="string"                 columnsize="2000"                                readonly="false"   description="Dynamic Column."   other:dynamodatatype="S"   other:relativepath="street"          other:filterable="true"   other:fullpath="address.street"     other:apiname="&amp;quot;address&amp;quot;.&amp;quot;street&amp;quot;"     />
    <attr   name="name"               xs:type="string"                 columnsize="2000"                                readonly="false"   description="Dynamic Column."   other:dynamodatatype="S"   other:relativepath="name"            other:filterable="true"   other:fullpath="name"               other:apiname="&amp;quot;name&amp;quot;"                                   />
    <attr   name="cuisine"            xs:type="string"                 columnsize="2000"                                readonly="false"   description="Dynamic Column."   other:dynamodatatype="S"   other:relativepath="cuisine"         other:filterable="true"   other:fullpath="cuisine"            other:apiname="&amp;quot;cuisine&amp;quot;"                                />
  </api:info>


  <api:script method="GET">
    <api:call op="dynamodbadoProviderOperationCaller">
      <api:push/>
    </api:call>
  </api:script>

  <api:script method="POST">
    <api:call op="dynamodbadoProviderOperationCaller">
      <api:push/>
    </api:call>
  </api:script>

  <api:script method="MERGE">
    <api:call op="dynamodbadoProviderOperationCaller">
      <api:push/>
    </api:call>
  </api:script>

  <api:script method="DELETE">
    <api:call op="dynamodbadoProviderOperationCaller">
      <api:push/>
    </api:call>
  </api:script>
</api:script>

This section details a selection of advanced features of the Amazon DynamoDB Sync App.

Automatic Index Detection

User Defined Views

The Sync App supports the use of user defined views, virtual tables whose contents are decided by a pre-configured user defined query. These views are useful when you cannot directly control queries being issued to the drivers. For an overview of creating and configuring custom views, see User Defined Views .

SSL Configuration

Use SSL Configuration to adjust how Sync App handles TLS/SSL certificate negotiations. You can choose from various certificate formats;. For further information, see the SSLServerCert property under "Connection String Options" .

Firewall and Proxy

Configure the Sync App for compliance with Firewall and Proxy, including Windows proxies and HTTP proxies. You can also set up tunnel connections.

Query Processing

For further information, see Query Processing.

Logging

Customizing the SSL Configuration

By default, the Sync App attempts to negotiate TLS with the server. The server certificate is validated against the default system trusted certificate store. You can override how the certificate gets validated using the SSLServerCert connection property.

To specify another certificate, see the SSLServerCert connection property.

Connecting Through a Firewall or Proxy

HTTP Proxies

To authenticate to an HTTP proxy, set the following:

• ProxyServer: the hostname or IP address of the proxy server that you want to route HTTP traffic through.
• ProxyPort: the TCP port that the proxy server is running on.
• ProxyAuthScheme: the authentication method the Sync App uses when authenticating to the proxy server.
• ProxyUser: the username of a user account registered with the proxy server.
• ProxyPassword: the password associated with the ProxyUser.

Other Proxies

Set the following properties:

• To use a proxy-based firewall, set FirewallType, FirewallServer, and FirewallPort.
• To tunnel the connection, set FirewallType to TUNNEL.
• To authenticate, specify FirewallUser and FirewallPassword.
• To authenticate to a SOCKS proxy, additionally set FirewallType to SOCKS5.

Amazon DynamoDB is a highly scalable NoSQL cloud database that works differently than a regular database. The CData Sync App enables you to access Amazon DynamoDB data using a standard database-like interface. The following topics describe how we model schemaless Amazon DynamoDB tables as regular Tables and Stored Procedures.

Tables

The list of Tables is dynamically retrieved from your Amazon DynamoDB account. You can use the CreateTable stored procedure to create a table, or you can create tables using the Amazon Web Services Admin Console.

The Sync App can dynamically detect table schemas at connection time. See Automatic Schema Discovery for more information. This method is useful if the structure of your data is volatile.

Stored Procedures

The list of tables is dynamically retrieved from your Amazon DynamoDB account. You can use the stored procedure to create a new table, or you can create a table using the Amazon Web Services Admin Console.

Because DynamoDB tables are partitioned based on their key, you should take care in selecting a proper key based on the query requirements of your table. Refer to the documentation for DynamoDB for more information about using best practices to model data in DynamoDB tables. DynamoDB supports two types of primary keys:

• Hash Primary Key: This is a single-column key.
• Hash and Range Primary Key: This is a two-column key that includes a hash column and a range column.

Since Amazon DynamoDB tables are schemaless, the Sync App offers the following two mechanisms to uncover the schema.

Dynamic Schemas

The columns of a table are dynamically determined by scanning data in the first few rows. You can adjust the number of rows that are used by modifying the RowScanDepth property. In addition to the name of the column, the row scan also determines the data type. The following table shows how the different data types supported by Amazon DynamoDB are modeled in the Sync App.

Static Schemas

Instead of using dynamically discovered schemas, you can define your own schemas. This will give you more control over the projected columns and also enable you to use other data types such as boolean, datetime, etc. Refer to the CreateSchema Stored Procedure in order to create your own schema. You can simply specify the FileName (fullpath) and TableName of the new schema file, which should match with the name of the Amazon DynamoDB table, and edit the column listing to use it for your own table.

Schemaless Operations

While the schema of the table is necessary to report metadata, data may be selected, inserted, updated, or deleted from columns that do not exist in the schema. Columns that do not already exist in the table schema will have their data types dynamically determined based on the data that is specified. See DynamoDB Queries for more information.

Stored procedures are function-like interfaces that extend the functionality of the Sync App beyond simple SELECT/INSERT/UPDATE/DELETE operations with Amazon DynamoDB.

Stored procedures accept a list of parameters, perform their intended function, and then return any relevant response data from Amazon DynamoDB, along with an indication of whether the procedure succeeded or failed.

Amazon DynamoDB Connector for CData Sync Stored Procedures

Generates a schema file for a specified table or view, detailing its structure and attributes for use in DynamoDB operations.

CreateSchema

Creates a local schema file (.rsd) from an existing table or view in the data model.

The schema file is created in the directory set in the Location connection property when this procedure is executed. You can edit the file to include or exclude columns, rename columns, or adjust column datatypes.

The Sync App checks the Location to determine if the names of any .rsd files match a table or view in the data model. If there is a duplicate, the schema file will take precedence over the default instance of this table in the data model. If a schema file is present in Location that does not match an existing table or view, a new table or view entry is added to the data model of the Sync App.

Input

Result Set Columns

Creates a new table in DynamoDB with specified partition and sort keys, along with optional billing mode and capacity settings.

Input

Result Set Columns

The connection string properties are the various options that can be used to establish a connection. This section provides a complete list of the options you can configure in the connection string for this provider. Click the links for further details.

Connection

AWS Authentication

SSO

SSL

Firewall

Proxy

Logging

Schema

Miscellaneous

This section provides a complete list of the Connection properties you can configure in the connection string for this provider.

When this property is set to true, AWSLakeFormation service will be used to retrieve temporary credentials, which enforce access policies against the user based on the configured IAM role. The service can be used when authenticating through OKTA, ADFS, AzureAD, PingFederate, while providing a SAML assertion.

Remarks

When this property is set to true, AWSLakeFormation service will be used to retrieve temporary credentials, which enforce access policies against the user based on the configured IAM role. The service can be used when authenticating through OKTA, ADFS, AzureAD, PingFederate, while providing a SAML assertion.

This section provides a complete list of the AWS Authentication properties you can configure in the connection string for this provider.

Specifies the type of authentication to use when connecting to Amazon DynamoDB. If this property is left blank, the default authentication is used.

Remarks

• ADFS: Set to use a single sign on connection with ADFS as the identity provider.
• AwsRootKeys: Authenticate using the root user access key and secret, to test something quickly. (Production use cases are encouraged to use something with narrowed permissions.)
• AwsIAMRoles: Authenticate using IAM Roles.
• AwsEC2Roles: Automatically use IAM Roles assigned to the EC2 machine where Sync App is currently running.
• AwsWebIdentity: Authenticate using Web Identity.
• AwsCredentialsFile: Set to use a credential file for authentication.
• Okta: Set to use a single sign on connection with OKTA as the identity provider.
• KeyCloak: Authenticate using KeyCloak.
• TemporaryCredentials: Authenticate using temporary security credentials alongside a session token.
• PingFederate: Set to use a single sign on connection with PingFederate as the identity provider.
• AwsCognitoBasic: Set to use Cognito based authentication.
• AwsCognitoSrp: Set to use Cognito based authentication. This is recommended over AwsCognitoBasic because this option does NOT send the password to the server for authentication, instead it uses the SRP protocol.

Specifies your AWS domain name. Use this property to set a custom domain name if your organization has associated one with AWS.

Remarks

This property specifies the AWS domain name to use when connecting to services. If your organization uses a custom AWS domain, provide it here. If you do not have a unique domain, use the default value, "amazonaws.com". Ensure the domain name matches your AWS setup to avoid connection errors.

Specifies the Amazon DynamoDB VPC endpoint to use when connecting through AWS PrivateLink.

Remarks

Use this property to connect to DynamoDB through a private VPC endpoint instead of the public service endpoint (the default DynamoDB URL). When set, this property overrides the default regional endpoint (dynamodb.{region}.amazonaws.com).

An AWS PrivateLink endpoint for DynamoDB follows the format: vpce-abcdef12-3455.dynamodb.{region}.vpce.amazonaws.com.

Specifies your AWS account access key. This value is accessible from your AWS security credentials page.

Remarks

To find your AWS account access key:

1. Sign into the AWS Management console with the credentials for your root account.
2. Select your account name or number.
3. Select My Security Credentials in the menu.
4. Click Continue to Security Credentials.
5. To view or manage root account access keys, expand the Access Keys section.

Your AWS account secret key. This value is accessible from your AWS security credentials page.

Remarks

Your AWS account secret key. This value is accessible from your AWS security credentials page:

1. Sign into the AWS Management console with the credentials for your root account.
2. Select your account name or number and select My Security Credentials in the menu that is displayed.
3. Click Continue to Security Credentials and expand the Access Keys section to manage or create root account access keys.

The Amazon Resource Name of the role to use when authenticating.

Remarks

When authenticating outside of AWS, it is common to use a Role for authentication instead of your direct AWS account credentials. Entering the AWSRoleARN will cause the CData Sync App to perform a role based authentication instead of using the AWSAccessKey and AWSSecretKey directly. The AWSAccessKey and AWSSecretKey must still be specified to perform this authentication. You cannot use the credentials of an AWS root user when setting RoleARN. The AWSAccessKey and AWSSecretKey must be those of an IAM user.

The hosting region for your Amazon Web Services.

Remarks

The hosting region for your Amazon Web Services. Available values are OHIO, NORTHERNVIRGINIA, NORTHERNCALIFORNIA, OREGON, CAPETOWN, HONGKONG, TAIPEI, HYDERABAD, JAKARTA, MALAYSIA, MELBOURNE, MUMBAI, OSAKA, SEOUL, SINGAPORE, SYDNEY, THAILAND, TOKYO, CENTRAL, CALGARY, BEIJING, NINGXIA, FRANKFURT, IRELAND, LONDON, MILAN, PARIS, SPAIN, STOCKHOLM, ZURICH, TELAVIV, MEXICOCENTRAL, BAHRAIN, UAE, SAOPAULO, GOVCLOUDEAST, GOVCLOUDWEST, ISOLATEDUSEAST, ISOLATEDUSEASTB, ISOLATEDUSEASTF, ISOLATEDUSSOUTHF, ISOLATEDUSWEST and ISOLATEDEUWEST.

The path to the AWS Credentials File to be used for authentication.

Remarks

The path to the AWS Credentials File to be used for authentication. See https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-files.html for more information.

The name of the profile to be used from the supplied AWSCredentialsFile.

Remarks

The name of the profile to be used from the supplied AWSCredentialsFile. See https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-files.html for more information.

Your AWS session token.

Remarks

Your AWS session token. This value can be retrieved in different ways. See this link for more info.

A unique identifier that might be required when you assume a role in another account.

Remarks

A unique identifier that might be required when you assume a role in another account.

The serial number of the MFA device if one is being used.

Remarks

You can find the device for an IAM user by going to the AWS Management Console and viewing the user's security credentials. For virtual devices, this is actually an Amazon Resource Name (such as arn:aws:iam::123456789012:mfa/user).

The temporary token available from your MFA device.

Remarks

If MFA is required, this value will be used along with the MFASerialNumber to retrieve temporary credentials to login. The temporary credentials available from AWS will only last up to 1 hour by default (see TemporaryTokenDuration). Once the time is up, the connection must be updated to specify a new MFA token so that new credentials may be obtained.

The amount of time (in seconds) a temporary token will last.

Remarks

Temporary tokens are used with both MFA and Role based authentication. Temporary tokens will eventually time out, at which time a new temporary token must be obtained. For situations where MFA is not used, this is not a big deal. The CData Sync App will internally request a new temporary token once the temporary token has expired.

However, for MFA required connection, a new MFAToken must be specified in the connection to retrieve a new temporary token. This is a more intrusive issue since it requires an update to the connection by the user. The maximum and minimum that can be specified will depend largely on the connection being used.

For Role based authentication, the minimum duration is 900 seconds (15 minutes) while the maximum if 3600 (1 hour). Even if MFA is used with role based authentication, 3600 is still the maximum.

For MFA authentication by itself (using an IAM User or root user), the minimum is 900 seconds (15 minutes), the maximum is 129600 (36 hours).

The hosting region for AWS Cognito.

Remarks

The hosting region for AWS Cognito. Available values are OHIO, NORTHERNVIRGINIA, NORTHERNCALIFORNIA, OREGON, CAPETOWN, HONGKONG, TAIPEI, HYDERABAD, JAKARTA, MALAYSIA, MELBOURNE, MUMBAI, OSAKA, SEOUL, SINGAPORE, SYDNEY, THAILAND, TOKYO, CENTRAL, CALGARY, BEIJING, NINGXIA, FRANKFURT, IRELAND, LONDON, MILAN, PARIS, SPAIN, STOCKHOLM, ZURICH, TELAVIV, MEXICOCENTRAL, BAHRAIN, UAE, SAOPAULO, GOVCLOUDEAST, GOVCLOUDWEST, ISOLATEDUSEAST, ISOLATEDUSEASTB, ISOLATEDUSEASTF, ISOLATEDUSSOUTHF, ISOLATEDUSWEST and ISOLATEDEUWEST.

The User Pool Id.

Remarks

You can find this in AWS Cognito -> Manage User Pools -> select your user pool -> General settings -> Pool Id.

The User Pool Client App Id.

Remarks

You can find this in AWS Cognito -> Manage Identity Pools -> select your user pool -> General settings -> App clients -> App client Id.

Optional. The User Pool Client App Secret.

Remarks

You can find this in AWS Cognito -> Manage Identity Pools -> select your user pool -> General settings -> App clients -> App client secret.

The Identity Pool Id.

Remarks

You can find this in AWS Cognito -> Manage Identity Pools -> select your identity pool -> Edit identity pool -> Identity Pool Id

The OAuth 2.0 access token or OpenID Connect ID token that is provided by an identity provider.

Remarks

The OAuth 2.0 access token or OpenID Connect ID token that is provided by an identity provider. An application can get this token by authenticating a user with a web identity provider. If not specified, the value for this connection property is automatically obtained from the value of the 'AWS_WEB_IDENTITY_TOKEN_FILE' environment variable.

This section provides a complete list of the SSO properties you can configure in the connection string for this provider.

The IDP user used to authenticate the IDP via SSO.

Remarks

Together with Password, this field is used to authenticate in SSO connections against the Amazon DynamoDB server.

The password used to authenticate the IDP user via SSO.

Remarks

The User and Password are together used in SSO connections to authenticate with the server.

The identity provider's login URL.

Remarks

The identity provider's login URL.

Additional properties required to connect to the identity provider in a semicolon-separated list.

Remarks

Additional properties required to connect to the identity provider in a semicolon-separated list. SSOProperties is used in conjunction with the the AWSRoleARN and AWSPrincipalARN. The following section provides an example using the OKTA identity provider.

ADFS

To connect to ADFS, set these properties:

• AuthScheme: ADFS.
• User: The authenticating ADFS user.
• Password: The password of the authenticating ADFS user.
• SSOLoginURL: The SSO provider's login URL.

Example connection string:

AuthScheme=ADFS; AWSRegion=Ireland; [email protected]; Password=CH8WerW121235647iCa6; SSOLoginURL='https://adfs.domain.com'; AWSRoleArn=arn:aws:iam::1234:role/ADFS_SSO; AWSPrincipalArn=arn:aws:iam::1234:saml-provider/ADFSProvider; S3StagingDirectory=s3://athena/staging;

ADFS Integrated

The ADFS Integrated flow indicates you are connecting with the user credentials of the currently logged in Windows user. To use the ADFS Integrated flow, do not specify the User and Password, but otherwise follow the same steps noted above under ADFS.

Okta

To connect to Okta, set these properties:

• AuthScheme: Okta.
• User: The authentiating Okta user.
• Password: The password of the authenticating Okta user.
• SSOLoginURL: The SSO provider's login URL.

If you are either using a trusted application or proxy that overrides the Okta client request OR configuring MFA, you must use combinations of SSOProperties to authenticate using Okta. Set any of the following, as applicable:

• APIToken: When authenticating a user via a trusted application or proxy that overrides the Okta client request context, set this to the API Token the customer created from the Okta organization.
• MFAType: If you have configured the MFA flow, set this to one of the following supported types: OktaVerify, Email, or SMS.
• MFAPassCode: If you have configured the MFA flow, set this to a valid passcode.
  If you set this to empty or an invalid value, the Sync App issues a one-time password challenge to your device or email. After the passcode is received, reopen the connection where the retrieved one-time password value is set to the MFAPassCode connection property.
• MFARememberDevice: True by default. Okta supports remembering devices when MFA is required. If remembering devices is allowed according to the configured authentication policies, the Sync App sends a device token to extend MFA authentication lifetime. If you do not want MFA to be remembered, set this variable to False.

Example connection string:

AuthScheme=Okta; AWSRegion=Ireland; [email protected]; Password=CH8WerW121235647iCa6; SSOLoginURL='https://cdata-us.okta.com/home/amazon_aws/0oa35m8arsAL5f5NrE6NdA356/272'; SSOProperties='ApiToken=01230GGG2ceAnm_tPAf4MhiMELXZ0L0N1pAYrO1VR-hGQSf;'; AWSRoleArn=arn:aws:iam::1234:role/Okta_SSO; AWSPrincipalARN=arn:aws:iam::1234:saml-provider/OktaProvider; S3StagingDirectory=s3://athena/staging;

The URL used for consuming the SAML response and exchanging it for service specific credentials.

Remarks

The CData Sync App will use the URL specified here to consume a SAML response and exchange it for service specific credentials. The retrieved credentials are the final piece during the SSO connection that are used to communicate with Amazon DynamoDB.

This section provides a complete list of the SSL properties you can configure in the connection string for this provider.

Specifies the certificate to be accepted from the server when connecting using TLS/SSL.

Remarks

If you are using a TLS/SSL connection, use this property to specify the TLS/SSL certificate to be accepted from the server. If you specify a value for this property, all other certificates that are not trusted by the machine are rejected.

This property can take the following forms:

Note: It is possible to use '*' to signify that all certificates should be accepted, but due to security concerns this is not recommended.

This section provides a complete list of the Firewall properties you can configure in the connection string for this provider.

Specifies the protocol the provider uses to tunnel traffic through a proxy-based firewall.

Remarks

A proxy-based firewall (or proxy firewall) is a network security device that acts as an intermediary between user requests and the resources they access. The proxy accepts the request of an authenticated user, tunnels through the firewall, and transmits the request to the appropriate server.

Because the proxy evaluates and transfers data backets on behalf of the requesting users, the users never connect directly with the servers, only with the proxy.

Note: By default, the Sync App connects to the system proxy. To disable this behavior and connect to one of the following proxy types, set ProxyAutoDetect to false.

The following table provides port number information for each of the supported protocols.

To connect to HTTP proxies, use ProxyServer and ProxyPort. To authenticate to HTTP proxies, use ProxyAuthScheme, ProxyUser, and ProxyPassword.

Identifies the IP address, DNS name, or host name of a proxy used to traverse a firewall and relay user queries to network resources.

Remarks

A proxy-based firewall (or proxy firewall) is a network security device that acts as an intermediary between user requests and the resources they access. The proxy accepts the request of an authenticated user, tunnels through the firewall, and transmits the request to the appropriate server.

Because the proxy evaluates and transfers data backets on behalf of the requesting users, the users never connect directly with the servers, only with the proxy.

Specifies the TCP port to be used for a proxy-based firewall.

Remarks

A proxy-based firewall (or proxy firewall) is a network security device that acts as an intermediary between user requests and the resources they access. The proxy accepts the request of an authenticated user, tunnels through the firewall, and transmits the request to the appropriate server.

Because the proxy evaluates and transfers data backets on behalf of the requesting users, the users never connect directly with the servers, only with the proxy.

Identifies the user ID of the account authenticating to a proxy-based firewall.

Remarks

A proxy-based firewall (or proxy firewall) is a network security device that acts as an intermediary between user requests and the resources they access. The proxy accepts the request of an authenticated user, tunnels through the firewall, and transmits the request to the appropriate server.

Because the proxy evaluates and transfers data backets on behalf of the requesting users, the users never connect directly with the servers, only with the proxy.

Specifies the password of the user account authenticating to a proxy-based firewall.

Remarks

A proxy-based firewall (or proxy firewall) is a network security device that acts as an intermediary between user requests and the resources they access. The proxy accepts the request of an authenticated user, tunnels through the firewall, and transmits the request to the appropriate server.

Because the proxy evaluates and transfers data backets on behalf of the requesting users, the users never connect directly with the servers, only with the proxy.

This section provides a complete list of the Proxy properties you can configure in the connection string for this provider.

Specifies whether the provider checks your system proxy settings for existing proxy server configurations, rather than using a manually specified proxy server.

Remarks

When this connection property is set to True, the Sync App checks your system proxy settings for existing proxy server configurations (no need to manually supply proxy server details).

This connection property takes precedence over other proxy settings. If you want to configure the Sync App to connect to a specific proxy server, set ProxyAutoDetect to False.

To connect to an HTTP proxy, see ProxyServer. For other proxies, such as SOCKS or tunneling, see FirewallType.

Identifies the hostname or IP address of the proxy server through which you want to route HTTP traffic.

Remarks

The Sync App only routes HTTP traffic through the proxy server specified in this connection property when ProxyAutoDetect is set to False.

If ProxyAutoDetect is set to True (the default), the Sync App instead routes HTTP traffic through the proxy server specified in your system proxy settings.

Identifies the TCP port on your specified proxy server that has been reserved for routing HTTP traffic to and from the client.

Remarks

The Sync App only routes HTTP traffic through the ProxyServer port specified in this connection property when ProxyAutoDetect is set to False.

If ProxyAutoDetect is set to True (the default), the Sync App instead routes HTTP traffic through the proxy server port specified in your system proxy settings.

For other proxy types, see FirewallType.

Specifies the authentication method the provider uses when authenticating to the proxy server specified in the ProxyServer connection property.

Remarks

Supported authentication types :

• BASIC: The Sync App performs HTTP basic authentication.
• DIGEST: The Sync App performs HTTP digest authentication.
• NTLM: The Sync App retrieves an NTLM token.
• NEGOTIATE: The Sync App retrieves an NTLM or Kerberos token based on the applicable protocol for authentication.
• NONE: Signifies that the ProxyServer does not require authentication.

For all values other than NONE, you must also set the ProxyUser and ProxyPassword connection properties.

If you need to use another authentication type, such as SOCKS 5 authentication, see FirewallType.

Provides the username of a user account registered with the proxy server specified in the ProxyServer connection property.

Remarks

The ProxyUser and ProxyPassword connection properties are used to connect and authenticate against the HTTP proxy specified in ProxyServer.

After selecting one of the available authentication types in ProxyAuthScheme, set this property as follows:

Note: The Sync App only uses this username if ProxyAutoDetect is set to False. If ProxyAutoDetect is set to True (the default), the Sync App instead uses the username specified in your system proxy settings.

Specifies the password of the user specified in the ProxyUser connection property.

Remarks

The ProxyUser and ProxyPassword connection properties are used to connect and authenticate against the HTTP proxy specified in ProxyServer.

After selecting one of the available authentication types in ProxyAuthScheme, set this property as follows:

For SOCKS 5 authentication or tunneling, see FirewallType.

Note: The Sync App only uses this password if ProxyAutoDetect is set to False. If ProxyAutoDetect is set to True (the default), the Sync App instead uses the password specified in your system proxy settings.

Specifies the SSL type to use when connecting to the proxy server specified in the ProxyServer connection property.

Remarks

This property determines when to use SSL for the connection to the HTTP proxy specified by ProxyServer. You can set this connection property to the following values :

Specifies a semicolon-separated list of destination hostnames or IPs that are exempt from connecting through the proxy server set in the ProxyServer connection property.

Remarks

The ProxyServer is used for all addresses, except for addresses defined in this property. Use semicolons to separate entries.

Note: The Sync App uses the system proxy settings by default, without further configuration needed. If you want to explicitly configure proxy exceptions for this connection, set ProxyAutoDetect to False.

This section provides a complete list of the Logging properties you can configure in the connection string for this provider.

Specifies the core modules to include in the log file. Use a semicolon-separated list of module names. By default, all modules are logged.

Remarks

The Sync App writes details about each operation it performs into the logfile specified by the Logfile connection property.

Each of these logged operations are assigned to a themed category called a module, and each module has a corresponding short code used to labels individual Sync App operations as belonging to that module.

When this connection property is set to a semicolon-separated list of module codes, only operations belonging to the specified modules are written to the logfile. Note that this only affects which operations are logged moving forward and doesn't retroactively alter the existing contents of the logfile. For example: INFO;EXEC;SSL;META;

By default, logged operations from all modules are included.

You can explicitly exclude a module by prefixing it with a "-". For example: -HTTP

To apply filters to submodules, identify them with the syntax <module name>.<submodule name>. For example, the following value causes the Sync App to only log actions belonging to the HTTP module, and further refines it to exclude actions belonging to the Res submodule of the HTTP module: HTTP;-HTTP.Res

Note that the logfile filtering triggered by the Verbosity connection property takes precedence over the filtering imposed by this connection property. This means that operations of a higher verbosity level than the level specified in the Verbosity connection property are not printed in the logfile, even if they belong to one of the modules specified in this connection property.

The available modules and submodules are:

This section provides a complete list of the Schema properties you can configure in the connection string for this provider.

Specifies the location of a directory containing schema files that define tables, views, and stored procedures. Depending on your service's requirements, this may be expressed as either an absolute path or a relative path.

Remarks

The Location property is only needed if you want to either customize definitions (for example, change a column name, ignore a column, etc.) or extend the data model with new tables, views, or stored procedures.

If left unspecified, the default location is %APPDATA%\\CData\\AmazonDynamoDB Data Provider\\Schema, where %APPDATA% is set to the user's configuration directory:

Optional setting that restricts the schemas reported to a subset of all available schemas. For example, BrowsableSchemas=SchemaA,SchemaB,SchemaC .

Remarks

Listing all available database schemas can take extra time, thus degrading performance. Providing a list of schemas in the connection string saves time and improves performance.

Optional setting that restricts the tables reported to a subset of all available tables. For example, Tables=TableA,TableB,TableC .

Remarks

Listing all available tables from some databases can take extra time, thus degrading performance. Providing a list of tables in the connection string saves time and improves performance.

If there are lots of tables available and you already know which ones you want to work with, you can use this property to restrict your viewing to only those tables. To do this, specify the tables you want in a comma-separated list. Each table should be a valid SQL identifier with any special characters escaped using square brackets, double-quotes or backticks. For example, Tables=TableA,[TableB/WithSlash],WithCatalog.WithSchema.`TableC With Space`.

Note: If you are connecting to a data source with multiple schemas or catalogs, you must specify each table you want to view by its fully qualified name. This avoids ambiguity between tables that may exist in multiple catalogs or schemas.

Optional setting that restricts the views reported to a subset of the available tables. For example, Views=ViewA,ViewB,ViewC .

Remarks

Listing all available views from some databases can take extra time, thus degrading performance. Providing a list of views in the connection string saves time and improves performance.

If there are lots of views available and you already know which ones you want to work with, you can use this property to restrict your viewing to only those views. To do this, specify the views you want in a comma-separated list. Each view should be a valid SQL identifier with any special characters escaped using square brackets, double-quotes or backticks. For example, Views=ViewA,[ViewB/WithSlash],WithCatalog.WithSchema.`ViewC With Space`.

Note: If you are connecting to a data source with multiple schemas or catalogs, you must specify each view you want to examine by its fully qualified name. This avoids ambiguity between views that may exist in multiple catalogs or schemas.

This section provides a complete list of the Miscellaneous properties you can configure in the connection string for this provider.

Specifies whether the provider should automatically detect and use secondary indexes based on the query criteria.

Remarks

This property controls the automatic detection of secondary indexes, which can optimize data selection in DynamoDB tables. By default, this property is set to true, enabling the provider to analyze the query criteria and choose an appropriate secondary index automatically.

• Disabling Automatic Detection: Set this property to false if automatic index selection is not desired, such as when the query logic does not align with the detected index or when you prefer manual control over index usage.
• Manual Index Selection: Use the SecondaryIndexName pseudo-column in your query to specify the index you want to use, bypassing the automatic detection logic.

This property is useful for scenarios where the default behavior does not align with your query optimization strategy, giving you flexibility to fine-tune index usage for your DynamoDB tables.

The absolute path to the certificate file or the certificate content in PEM format encoded in base64.

Remarks

The absolute path to the certificate file or the certificate file content in PEM format encoded in base64, depending on the value of AWSCertificateType.

The password for the certificate if applicable, otherwise leave blank.

Remarks

The password for the certificate if applicable, otherwise leave blank.

The type of AWSCertificate .

Remarks

This property can take one of the following values:

The absolute path to the private key file or the private key content in PEM format encoded in base64.

Remarks

The absolute path to the private key file or the private key file content in PEM format encoded in base64, depending on the value of AWSPrivateKeyType.

The password for the private key if it is encrypted, otherwise leave blank.

Remarks

The password for the private key if it is encrypted, otherwise leave blank.

The type of AWSPrivateKey .

Remarks

This property can take one of the following values:

Profile to pull policies from.

Remarks

Profile to pull policies from.

Duration, in seconds, for the resulting session.

Remarks

Duration, in seconds, for the resulting session. Default: 3600 seconds.

Trust anchor to use for authentication.

Remarks

Trust anchor to use for authentication.

This property flattens nested array elements into individual columns. By default, nested arrays are returned as JSON strings. Set this property to the number of elements to extract from nested arrays.

Remarks

Use this property to extract elements from nested arrays and represent them as individual columns. This property is useful for simplifying the representation of short arrays in tabular output. The extracted elements are assigned column names with their zero-based index appended. Any remaining elements in the array are ignored. For example, the following array is flattened into two columns when FlattenArrays is set to 2:

 ["FLOW-MATIC", "LISP", "COBOL"]

Flattening longer arrays may result in unused elements being discarded, so it is recommended for arrays expected to contain a small number of items.

Specifies whether nested object properties are flattened into individual columns.

Remarks

When this property is set to true, object properties are extracted as separate columns. When it is set to false, nested objects within arrays are represented as JSON-formatted strings. Flattening nested objects into individual columns simplifies working with structured data. When enabled, the provider appends the property name to the parent object name to generate column names. This is useful for tabularizing predictable and manageable object structures.

For deeply nested or large JSON objects, consider the performance implications of flattening, as excessive flattening may create an unmanageable number of columns. For objects with unpredictable properties or varying schemas, leaving this property disabled may provide a more flexible representation.

For example, you can flatten the nested objects below at connection time:

[
     { "grade": "A", "score": 2 },
     { "grade": "A", "score": 6 },
     { "grade": "A", "score": 10 },
     { "grade": "A", "score": 9 },
     { "grade": "B", "score": 14 }
]

When FlattenObjects is set to true and FlattenArrays is set to 1, the preceding array is flattened into the following table:

Specifies whether the provider should dynamically scan query result sets for additional metadata. Set to true to enable scanning or false to use a static metadata structure.

Remarks

When enabled, this property allows the provider to dynamically analyze query result sets for additional metadata, ensuring the result schema reflects any changes or variations in the queried data. This property is useful when working with data sources where schema details may vary or are not fully known in advance.

Disabling this property preserves a static metadata structure, which may improve performance when querying data with a consistent schema. Use this property based on the predictability of your data source and performance considerations.

Indicates the user preference as to when schemas should be generated and saved.

Remarks

This property outputs schemas to .rsd files in the path specified by Location.

Available settings are the following:

• Never: A schema file will never be generated.
• OnUse: A schema file will be generated the first time a table is referenced, provided the schema file for the table does not already exist.
• OnStart: A schema file will be generated at connection time for any tables that do not currently have a schema file.
• OnCreate: A schema file will be generated by when running a CREATE TABLE SQL query.

Generate Schemas with SQL

When you set GenerateSchemaFiles to OnUse, the Sync App generates schemas as you execute SELECT queries. Schemas are generated for each table referenced in the query.

When you set GenerateSchemaFiles to OnCreate, schemas are only generated when a CREATE TABLE query is executed.

Generate Schemas on Connection

Another way to use this property is to obtain schemas for every table in your database when you connect. To do so, set GenerateSchemaFiles to OnStart and connect.

Specifies which data types should be ignored and reported as strings.

Remarks

This property allows you to exclude specific data types from being processed as their native types. When a type is ignored, it is treated as a string. By default, Datetime, Date, and Time are ignored and reported as string values instead of their native types.

This property is useful when compatibility issues or downstream processing requirements necessitate treating certain types as text. For example, applications that do not handle Time data types may benefit from converting them to strings. Note: Changes to this property take effect on the next connection.

Specifies the maximum number of times the provider retries a request when a temporary issue is detected. Temporary issues include network interruptions, transient errors, or exceeding operational thresholds.

Remarks

This property controls the number of retries the driver attempts when a temporary issue, such as network instability or rate limits, is encountered. For each retry, the Sync App follows an exponential backoff strategy: the wait time between retries starts at the value specified by RetryWaitTime and doubles with each subsequent retry until the maximum number of retries is reached.

For example, if RetryWaitTime is set to 2 seconds and MaximumRequestRetries is set to 5, the Sync App waits as follows: 0 seconds (initial attempt), 2 seconds, 4 seconds, 8 seconds, 16 seconds, and 32 seconds.

This property is useful in scenarios where temporary issues are expected, such as high-latency networks or environments with strict API quotas.

Specifies the maximum number of rows returned for queries that do not include either aggregation or GROUP BY.

Remarks

The default value for this property, -1, means that no row limit is enforced unless the query explicitly includes a LIMIT clause. (When a query includes a LIMIT clause, the value specified in the query takes precedence over the MaxRows setting.)

Setting MaxRows to a whole number greater than 0 ensures that queries do not return excessively large result sets by default.

This property is useful for optimizing performance and preventing excessive resource consumption when executing queries that could otherwise return very large datasets.

Specifies advanced connection properties for specialized scenarios. Use this property only under the guidance of our Support team to address specific issues.

Remarks

This property allows advanced users to configure hidden properties for specialized situations, with the advice of our Support team. These settings are not required for normal use cases but can address unique requirements or provide additional functionality. To define multiple properties, use a semicolon-separated list.

Note: It is strongly recommended to set these properties only when advised by the Support team to address specific scenarios or issues.

Integration and Formatting

Specifies the maximum number of items provider evaluates per API request. The default value, -1, allows the server to calculate the page size automatically.

Remarks

Note that this limit applies to the number of items evaluated, not the number of matching items returned. If the dataset size exceeds 1 MB or the number of evaluated items reaches the specified page size, the operation stops and returns the matching results along with a pagination token to retrieve the remaining data. Set this property to a specific value to control the size of each API request and optimize performance. Adjust this property based on your application’s performance and memory requirements.

Specifies the pseudocolumns to expose as table columns, expressed as a string in the format 'TableName=ColumnName;TableName=ColumnName'.

Remarks

This property allows you to define which pseudocolumns the Sync App exposes as table columns.

To specify individual pseudocolumns, use the following format:

Table1=Column1;Table1=Column2;Table2=Column3

To include all pseudocolumns for all tables use:

*=*

Specifies the mode used by the provider to retrieve results from Amazon DynamoDB.

Remarks

This property determines the query execution strategy for retrieving results from DynamoDB:

• Adaptive: Automatically selects the best query mode based on the SQL statement filters and ThreadCount.
• PartiQL: Translates supported SQL statements into their PartiQL equivalents for execution.
• SCAN: Performs a full table scan, using parallel threads as specified by ThreadCount.

Use Adaptive for optimal performance, as it dynamically selects the most efficient query mode. Choose PartiQL for precise query translation or SCAN when a complete table scan is required.

Specifies the minimum number of milliseconds the provider waits before retrying a request. The wait time doubles with each retry.

Remarks

This property defines the base wait time, in milliseconds, between retries when a temporary issue is detected like a network failures or rate-limiting. With each retry, the wait time doubles, following an exponential backoff strategy.

The total number of retries is controlled by the MaximumRequestRetries property. For example, if RetryWaitTime is set to 2000 milliseconds and MaximumRequestRetries is set to 3, the driver waits 2000, 4000, and 8000 milliseconds before subsequent retries.

The maximum number of rows to scan to look for the columns available in a table.

Remarks

The columns in a table must be determined by scanning table rows. This value determines the maximum number of rows that will be scanned.

Setting a high value may decrease performance. Setting a low value may prevent the data type from being determined properly, especially when there is null data.

Specifies the character or characters used to denote hierarchy in flattened structures, such as Maps and List attributes in DynamoDB.

Remarks

This property defines the delimiter used to represent hierarchical relationships in flattened structures within DynamoDB. For example, when SeparatorCharacter is set to ".", an attribute named address.city indicates that address is a parent attribute with a child attribute called city.

If your data includes attribute names containing the specified separator, for example, a period (.), you should choose a different SeparatorCharacter to prevent ambiguity in column naming. This property is useful for handling complex, nested data structures where clear delineation of hierarchy is required.

Specifies the number of threads to allocate for parallel scans during data selection. A value of 1 disables parallel scanning, while higher values increase parallelism.

Remarks

Parallel scans allow the retrieval process to run across multiple threads, improving performance when scanning large datasets in Amazon DynamoDB. The number of threads specified by ThreadCount determines how data is split for processing. While increasing ThreadCount can significantly speed up scans, it also accelerates the consumption of read units for the table.

Higher values for ThreadCount require more system resources, such as CPU cores and bandwidth. Excessive parallelism may exhaust read capacity units quickly, potentially incurring additional costs or impacting other operations on the table. It is important to evaluate your system’s available resources and the read units allocated to your DynamoDB tables before adjusting this property.

Specifies the maximum time, in seconds, that the provider waits for a server response before throwing a timeout error.

Remarks

The timeout applies to each individual communication with the server rather than the entire query or operation. For example, a query could continue running beyond 60 seconds if each paging call completes within the timeout limit.

Timeout is set to 60 seconds by default. To disable timeouts, set this property to 0.

Disabling the timeout allows operations to run indefinitely until they succeed or fail due to other conditions such as server-side timeouts, network interruptions, or resource limits on the server.

Note: Use this property cautiously to avoid long-running operations that could degrade performance or result in unresponsive behavior.

Specifies the method used to determine the data type of columns.

Remarks

This property defines the strategy for determining column data types:

• None: All columns are returned as string types. Column names are still scanned when Header=True, even with this setting.
• RowScan: Rows are scanned to heuristically infer data types based on their content. The depth of the scan is controlled by the RowScanDepth property.

By default, RowScanDepth is used if no value is explicitly specified. Use None for simplicity when data type inference is not required or when consistent string typing is preferred.

Specifies the use of the BatchWriteItem operation for updates and inserts. This is required for handling binary or binary-set data, as the default operations (ExecuteStatement/BatchExecuteStatement) do not support these field types.

Remarks

By default, the Sync App uses the ExecuteStatement or BatchExecuteStatement operation to handle updates and inserts. However, these operations do not support manipulating binary or binary-set fields. To handle these data types, enable this property to switch to the BatchWriteItem operation.

Using BatchWriteItem may alter the behavior and performance characteristics of updates and inserts. This property should only be enabled when your dataset includes binary or binary-set data that needs to be inserted or updated. For other use cases, the default operations are sufficient.

Specifies whether consistent reads should always be used when querying DynamoDB. Consistent reads provide the most up-to-date data, but consume more read capacity.

Remarks

When this property is set to true, the Sync App performs consistent reads, ensuring the most up-to-date data is returned for queries and scans. However, consistent reads consume twice as many read capacity units as eventually consistent reads. Use this property only when accurate and immediate data consistency is critical for your use case.

Note: Consistent reads are not supported for global secondary indexes. If you scan or query using a secondary index, the property is ignored even if set to true.

Specifies a filepath to a JSON configuration file that defines custom views. The provider automatically detects and uses the views specified in this file.

Remarks

UserDefinedViews allows you to define and manage custom views through a JSON-formatted configuration file called UserDefinedViews.json. These views are automatically recognized by the Sync App and enable you to execute custom SQL queries as if they were standard database views. The JSON file defines each view as a root element with a child element called "query", which contains the SQL query for the view.

For example:

{
	"MyView": {
		"query": "SELECT * FROM Account WHERE MyColumn = 'value'"
	},
	"MyView2": {
		"query": "SELECT * FROM MyTable WHERE Id IN (1,2,3)"
	}
}

You can use this property to define multiple views in a single file and specify the filepath. For example:

UserDefinedViews=C:\Path\To\UserDefinedViews.json

For further information, see User Defined Views.

Specifies whether or not simple names should be used for tables and columns.

Remarks

Amazon DynamoDB tables can include special characters in their names that are typically not allowed in standard databases. This property makes the Sync App easier to use with traditional database tools.

Setting UseSimpleNames to True simplifies the names of the columns that are returned. It enforces a naming scheme where only alphanumeric characters and underscores are valid for displayed column names.

Notes:

• Any non-alphanumeric characters are converted to underscores.
• If the column or table names exceed 128 characters in length they are truncated to 128 characters to comply with SQL Server standards.

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