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

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 go to the Security Credentials tab.

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 configuration parameters:

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

Note: Use of this authentication scheme is discouraged by Amazon for anything but simple tests. The account root credentials have the full permissions of the user, making this the least secure authentication method.

Temporary Credentials

To authenticate using temporary credentials, specify the following:

• AuthScheme: TemporaryCredentials.
• 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.
• 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: Specify 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.

EC2 Instances

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 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.

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 IAM Roles

Set AuthScheme to AwsIAMRoles.

In many situations, it may be preferable to use an IAM role for authentication instead of the direct security credentials of an AWS root user. If you are specifying the AWSAccessKey and AWSSecretKey of an AWS root user, you may not use 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.

ADFS

To connect to ADFS, set the AuthScheme to ADFS, and set these properties:

• User: The ADFS user.
• Password: The ADFS user's password.
• 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 currently logged in Windows user credentials. To use the ADFS Integrated flow, do not specify the User and Password, but otherwise follow the same steps in the ADFS guide above.

Okta

To connect to Okta, set the AuthScheme to Okta, and set these properties:

• User: The Okta user.
• Password: The Okta user's password.
• SSOLoginURL: The SSO provider's login URL.

If you are 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;

To connect to PingFederate, set AuthScheme to PingFederate, and set these properties:

• User: The PingFederate user.
• Password: The PingFederate user's 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): Authscheme=Basic if you want to include your username and password as an authorization header in requests to Amazon S3.

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;

Multi-Factor Authentication (MFA)

For users and roles that require multi-factor authentication, specify the following:

• AuthScheme: AwsMFA.
• CredentialsLocation: The location of the settings file where MFA credentials are saved. See the Credentials File Location page under Connection String Options for more information.
• MFASerialNumber: The serial number of the MFA device if one is being used.
• MFAToken: The temporary token available from your MFA device.

• AWSAccessKey: The access key of the IAM user for whom MFA will be issued.
• AWSSecretKey: The secret key of the IAM user whom MFA will be issued.

• 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 using MFA.
• AWSExternalId (optional): Only required if you are assuming a role in another AWS account.

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

Credentials Files

You can use a credentials file to authenticate. Any configurations related to AccessKey/SecretKey authentication, temporary credentials, role authentication, or MFA can be used. To do so, set the following properties to authenticate:

• 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 the following properties to authenticate:

• AuthScheme: Set this to AwsCognitoSrp (recommended). You can also use AwsCognitoBasic.
• AWSCognitoRegion: Set this to the region of the User Pool.
• AWSUserPoolId: Set this to the User Pool Id.
• AWSUserPoolClientAppId: Set this to the User Pool Client App Id.
• AWSUserPoolClientAppSecret: Set this to the User Pool Client Secret.
• AWSIdentityPoolId: Set this to the Identity Pool Id of the Identity Pool that is linked with the User Pool.
• User: Set this to the username of the user registered in the User Pool.
• Password: Set this to 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 allows you to define virtual tables, called user defined views, whose contents are decided by a pre-configured query. These views are useful when you cannot directly control queries being issued to the drivers. See User Defined Views for an overview of creating and configuring custom views.

SSL Configuration

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

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

The Sync App offloads as much of the SELECT statement processing as possible to Amazon DynamoDB and then processes the rest of the query in memory (client-side).

See Query Processing for more information.

Logging

See Logging for an overview of configuration settings that can be used to refine CData logging. For basic logging, you only need to set two connection properties, but there are numerous features that support more refined logging, where you can select subsets of information to be logged using the LogModules connection property.

Customizing the SSL Configuration

By default, the Sync App attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store.

To specify another certificate, see the SSLServerCert property for the available formats to do so.

Connecting Through a Firewall or Proxy

HTTP Proxies

To connect through the Windows system proxy, you do not need to set any additional connection properties. To connect to other proxies, set ProxyAutoDetect to false.

In addition, to authenticate to an HTTP proxy, set ProxyAuthScheme, ProxyUser, and ProxyPassword, in addition to ProxyServer and ProxyPort.

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.

The Sync App allows you to access data in Amazon DynamoDB using a standard database-like interface. Amazon DynamoDB is a highly scalable NoSQL cloud database that is very different from a regular database. In this section we describe how we model schemaless Amazon DynamoDB tables as regular Tables and Stored Procedures.

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

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.

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.

The scheme used for authentication. Accepted entries are: Auto, , AwsRootKeys , AwsIAMRoles , AwsEC2Roles , AwsMFA , ADFS, Okta, PingFederate , AwsCredentialsFile , AwsCognitoBasic , AwsCognitoSrp.

Remarks

Use the following options to select your authentication scheme:

• Auto: Set this to have the Sync App attempt to automatically resolve the proper authentication scheme to use based on the other connection properties specified.
• TemporaryCredentials: Set this to leverage temporary security credentials alongside a session token to connect.
• AwsRootKeys: Set this to use the root user access key and secret. Useful for quickly testing, but production use cases are encouraged to use something with narrowed permissions.
• AwsIAMRoles: Set to use IAM Roles for the connection.
• AwsEC2Roles: Set this to automatically use IAM Roles assigned to the EC2 machine the CData Sync App is currently running on.
• AwsMFA: Set to use multi factor authentication.
• Okta: Set to use a single sign on connection with OKTA as the identity provider.
• ADFS: Set to use a single sign on connection with ADFS as the identity provider.
• PingFederate: Set to use a single sign on connection with PingFederate as the identity provider.
• AwsCredentialsFile: Set to use a credential file for 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.
• AwsCognitoBasic: Set to use Cognito based authentication.

Your AWS domain name. You can optionally choose to associate your domain name with AWS.

Remarks

If you do not have a unique AWS domain name, leave this value specified as amazonaws.com.

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

Remarks

Your AWS account access 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.

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, JAKARTA, MUMBAI, OSAKA, SEOUL, SINGAPORE, SYDNEY, TOKYO, CENTRAL, BEIJING, NINGXIA, FRANKFURT, IRELAND, LONDON, MILAN, PARIS, STOCKHOLM, ZURICH, BAHRAIN, UAE, SAOPAULO, GOVCLOUDEAST, and GOVCLOUDWEST.

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, MUMBAI, OSAKA, SEOUL, SINGAPORE, SYDNEY, TOKYO, CENTRAL, BEIJING, NINGXIA, FRANKFURT, IRELAND, LONDON, MILAN, PARIS, STOCKHOLM, BAHRAIN, SAOPAULO, GOVCLOUDEAST, and GOVCLOUDWEST.

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

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 the AuthScheme to ADFS, and set these properties:

• User: The ADFS user.
• Password: The ADFS user's password.
• 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 currently logged in Windows user credentials. To use the ADFS Integrated flow, do not specify the User and Password, but otherwise follow the same steps in the ADFS guide above.

Okta

To connect to Okta, set the AuthScheme to Okta, and set these properties:

• User: The Okta user.
• Password: The Okta user's password.
• SSOLoginURL: The SSO provider's login URL.

If you are 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.

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

Remarks

If using a TLS/SSL connection, this property can be used to specify the TLS/SSL certificate to be accepted from the server. Any other certificate that is not trusted by the machine is rejected.

This property can take the following forms:

If not specified, any certificate trusted by the machine is accepted.

Use '*' to signify to accept all certificates. Note that this is not recommended due to security concerns.

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

The protocol used by a proxy-based firewall.

Remarks

This property specifies the protocol that the Sync App will use to tunnel traffic through the FirewallServer proxy. Note that 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.

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

The name or IP address of a proxy-based firewall.

Remarks

This property specifies the IP address, DNS name, or host name of a proxy allowing traversal of a firewall. The protocol is specified by FirewallType: Use FirewallServer with this property to connect through SOCKS or do tunneling. Use ProxyServer to connect to an HTTP proxy.

Note that the Sync App uses the system proxy by default. To use a different proxy, set ProxyAutoDetect to false.

The TCP port for a proxy-based firewall.

Remarks

This specifies the TCP port for a proxy allowing traversal of a firewall. Use FirewallServer to specify the name or IP address. Specify the protocol with FirewallType.

The user name to use to authenticate with a proxy-based firewall.

Remarks

The FirewallUser and FirewallPassword properties are used to authenticate against the proxy specified in FirewallServer and FirewallPort, following the authentication method specified in FirewallType.

A password used to authenticate to a proxy-based firewall.

Remarks

This property is passed to the proxy specified by FirewallServer and FirewallPort, following the authentication method specified by FirewallType.

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

This indicates whether to use the system proxy settings or not.

Remarks

This takes precedence over other proxy settings, so you'll need to set ProxyAutoDetect to FALSE in order use custom proxy settings.

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

The hostname or IP address of a proxy to route HTTP traffic through.

Remarks

The hostname or IP address of a proxy to route HTTP traffic through. The Sync App can use the HTTP, Windows (NTLM), or Kerberos authentication types to authenticate to an HTTP proxy.

If you need to connect through a SOCKS proxy or tunnel the connection, see FirewallType.

By default, the Sync App uses the system proxy. If you need to use another proxy, set ProxyAutoDetect to false.

The TCP port the ProxyServer proxy is running on.

Remarks

The port the HTTP proxy is running on that you want to redirect HTTP traffic through. Specify the HTTP proxy in ProxyServer. For other proxy types, see FirewallType.

The authentication type to use to authenticate to the ProxyServer proxy.

Remarks

This value specifies the authentication type to use to authenticate to the HTTP proxy specified by ProxyServer and ProxyPort.

Note that the Sync App will use the system proxy settings by default, without further configuration needed; if you want to connect to another proxy, you will need to set ProxyAutoDetect to false, in addition to ProxyServer and ProxyPort. To authenticate, set ProxyAuthScheme and set ProxyUser and ProxyPassword, if needed.

The authentication type can be one of the following:

• BASIC: The Sync App performs HTTP BASIC authentication.
• DIGEST: The Sync App performs HTTP DIGEST authentication.
• NEGOTIATE: The Sync App retrieves an NTLM or Kerberos token based on the applicable protocol for authentication.
• PROPRIETARY: The Sync App does not generate an NTLM or Kerberos token. You must supply this token in the Authorization header of the HTTP request.

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

A user name to be used to authenticate to the ProxyServer proxy.

Remarks

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

You can select one of the available authentication types in ProxyAuthScheme. If you are using HTTP authentication, set this to the user name of a user recognized by the HTTP proxy. If you are using Windows or Kerberos authentication, set this property to a user name in one of the following formats:

user@domain
domain\user

A password to be used to authenticate to the ProxyServer proxy.

Remarks

This property is used to authenticate to an HTTP proxy server that supports NTLM (Windows), Kerberos, or HTTP authentication. To specify the HTTP proxy, you can set ProxyServer and ProxyPort. To specify the authentication type, set ProxyAuthScheme.

If you are using HTTP authentication, additionally set ProxyUser and ProxyPassword to HTTP proxy.

If you are using NTLM authentication, set ProxyUser and ProxyPassword to your Windows password. You may also need these to complete Kerberos authentication.

For SOCKS 5 authentication or tunneling, see FirewallType.

By default, the Sync App uses the system proxy. If you want to connect to another proxy, set ProxyAutoDetect to false.

The SSL type to use when connecting to the ProxyServer proxy.

Remarks

This property determines when to use SSL for the connection to an HTTP proxy specified by ProxyServer. This value can be AUTO, ALWAYS, NEVER, or TUNNEL. The applicable values are the following:

A semicolon separated list of destination hostnames or IPs that are exempt from connecting through the ProxyServer .

Remarks

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

Note that 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, you need to set ProxyAutoDetect = false, and configure ProxyServer and ProxyPort. To authenticate, set ProxyAuthScheme and set ProxyUser and ProxyPassword, if needed.

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

Core modules to be included in the log file.

Remarks

Only the modules specified (separated by ';') will be included in the log file. By default all modules are included.

See the Logging page for an overview.

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

A path to the directory that contains the schema files defining tables, views, and stored procedures.

Remarks

The path to a directory which contains the schema files for the Sync App (.rsd files for tables and views, .rsb files for stored procedures). The folder location can be a relative path from the location of the executable. The Location property is only needed if you want to customize definitions (for example, change a column name, ignore a column, and so on) 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" with %APPDATA% being set to the user's configuration directory:

This property restricts the schemas reported to a subset of the available schemas. For example, BrowsableSchemas=SchemaA,SchemaB,SchemaC.

Remarks

Listing the schemas from databases can be expensive. Providing a list of schemas in the connection string improves the performance.

This property restricts the tables reported to a subset of the available tables. For example, Tables=TableA,TableB,TableC.

Remarks

Listing the tables from some databases can be expensive. Providing a list of tables in the connection string improves the performance of the Sync App.

This property can also be used as an alternative to automatically listing views if you already know which ones you want to work with and there would otherwise be too many to work with.

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 that when connecting to a data source with multiple schemas or catalogs, you will need to provide the fully qualified name of the table in this property, as in the last example here, to avoid ambiguity between tables that exist in multiple catalogs or schemas.

Restricts the views reported to a subset of the available tables. For example, Views=ViewA,ViewB,ViewC.

Remarks

Listing the views from some databases can be expensive. Providing a list of views in the connection string improves the performance of the Sync App.

This property can also be used as an alternative to automatically listing views if you already know which ones you want to work with and there would otherwise be too many to work with.

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 that when connecting to a data source with multiple schemas or catalogs, you will need to provide the fully qualified name of the table in this property, as in the last example here, to avoid ambiguity between tables that 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.

A boolean indicating if secondary indexes should be automatically detected based on the query used.

Remarks

In DynamoDB, you can use secondary indexes to more quickly select data from a given table. By default, we attempt to automatically detect an index to use based on the query criteria. However, this may not always be desirable. To turn off index detecting logic, set the property to false, or if you have control over the query and would prefer to specify the index yourself, use the SecondaryIndexName pseudo column to specify which index to use (if any).

By default, nested arrays are returned as strings of JSON. The FlattenArrays property can be used to flatten the elements of nested arrays into columns of their own. Set FlattenArrays to the number of elements you want to return from nested arrays.

Remarks

By default, nested arrays are returned as strings of JSON. The FlattenArrays property can be used to flatten the elements of nested arrays into columns of their own. This is only recommended for arrays that are expected to be short.

Set FlattenArrays to the number of elements you want to return from nested arrays. The specified elements are returned as columns. The zero-based index is concatenated to the column name. Other elements are ignored.

For example, you can return an arbitrary number of elements from an array of strings:

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

Set FlattenObjects to true to flatten object properties into columns of their own. Otherwise, objects nested in arrays are returned as strings of JSON.

Remarks

Set FlattenObjects to true to flatten object properties into columns of their own. Otherwise, objects nested in arrays are returned as strings of JSON. The property name is concatenated onto the object name with an underscore to generate the column name.

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 }
]

Set FlexibleSchema to true to scan for additional metadata on the query result set. Otherwise, the metadata will remain the same.

Remarks

Set FlexibleSchema to true to scan for additional metadata on the query result set. Otherwise, the metadata will remain the same.

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.

Removes support for the specified types. For example, Time. These types will then be reported as strings instead.

Remarks

Removes support for the specified types. For example, Time. These types will then be reported as strings instead.

The maximum number of times to retry a request.

Remarks

MaximumRequestRetries is the maximum number of times the Sync App will retry a request when the problem has been detected as temporary (errors like "unknown error", network issues, and exceeding the maximum threshold per table). In this case on the first retry the Sync App will back off and wait for the amount of time designated by RetryWaitTime. If that request fails, the Sync App will double the time and then double again until the Sync App has exhausted the available retries.

For example, if RetryWaitTime is set to 2 seconds and MaximumRequestRetries is set to 5, the wait times will be as follows: 0 -> 2 -> 4 -> 8 -> 16 -> 32.

Limits the number of rows returned when no aggregation or GROUP BY is used in the query. This takes precedence over LIMIT clauses.

Remarks

Limits the number of rows returned when no aggregation or GROUP BY is used in the query. This takes precedence over LIMIT clauses.

These hidden properties are used only in specific use cases.

Remarks

The properties listed below are available for specific use cases. Normal driver use cases and functionality should not require these properties.

Specify multiple properties in a semicolon-separated list.

Integration and Formatting

Configures the maximum number of items that Amazon DynamoDB evaluates per API request.

Remarks

Configures the maximum number of items that Amazon DynamoDB evaluates (not necessarily the number of matching items) per api request. If Amazon DynamoDB processes the number of items up to the limit while processing the results, it stops the operation and returns the matching values up to that point, along with a pagination token used to pull the rest of the data. Also, if the processed dataset size exceeds 1 MB before Amazon DynamoDB reaches this page size limit, it stops the operation and returns the matching values up to the limit. The default value is -1 which lets the server calculate the maximum page size.

This property indicates whether or not to include pseudo columns as columns to the table.

Remarks

This setting is particularly helpful in Entity Framework, which does not allow you to set a value for a pseudo column unless it is a table column. The value of this connection setting is of the format "Table1=Column1, Table1=Column2, Table2=Column3". You can use the "*" character to include all tables and all columns; for example, "*=*".

This property indicates how the driver will retrieve the results.

Remarks

• Adaptive - Determine which mode to use depending on ThreadCount and the SQL statement filters.
• PartiQL - Rebuilds the supported parts of the given SQL statement in the PartiQL equivalent.
• SCAN - Full scan the table in parallel (number of threads is controled by ThreadCount).

The minimum number of milliseconds the provider will wait to retry a request.

Remarks

The value of this property is doubled on every retry to determine how long to wait until the next retry. Specify the maximum number of retries with MaximumRequestRetries.

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.

The character or characters used to denote hierarchy.

Remarks

In order to flatten out structures such as Maps and List attributes in DynamoDB, we need some specifier that states what the separation is between those columns and other columns. If this value is "." and a column comes back with the name address.city, this indicates that there is a mapped attribute with a child called city. If your data has columns that already use a single period within the attribute name, set the SeparatorCharacter to a different character or characters.

The number of threads to use when selecting data via a parallel scan. Setting ThreadCount to 1 will disable parallel scans.

Remarks

Parallel scans allow data to be retrieved faster by splitting up the retrieval process across multiple threads. This can greatly improve performance when scanning data in Amazon DynamoDB. However, this will also consume your read units for a table much faster than a single thread. Consider your available cores, bandwidth, and read units for your tables before increasing the ThreadCount.

The value in seconds until the timeout error is thrown, canceling the operation.

Remarks

If Timeout = 0, operations do not time out. The operations run until they complete successfully or until they encounter an error condition.

If Timeout expires and the operation is not yet complete, the Sync App throws an exception.

Determines how to determine the data type of columns.

Remarks

When enabled the provider will use BatchWriteItem operation for handling updates and INSERTs. By default, the provider uses ExecuteStatement/BatchExecuteStatement operation. You need to enable BatchWriteItem only when inserting/updating binary/binary-set data. ExecuteStatement/BatchExecuteStatement doesn't support manipulating binary fields.

Remarks

When enabled the provider will use BatchWriteItem operation for handling updates and INSERTs. By default, the provider uses ExecuteStatement/BatchExecuteStatement operation. You need to enable BatchWriteItem only when inserting/updating binary/binary-set data. ExecuteStatement/BatchExecuteStatement doesn't support manipulating binary fields.

Whether to alyways use Consistent Reads or not when querying DynamoDb.

Remarks

This parameter is not supported on global secondary indexes. If you scan or query using a secondary index, Constistent Reads will not be used even if the property is set to true.

A filepath pointing to the JSON configuration file containing your custom views.

Remarks

User Defined Views are defined in a JSON-formatted configuration file called UserDefinedViews.json. The Sync App automatically detects the views specified in this file.

You can also have multiple view definitions and control them using the UserDefinedViews connection property. When you use this property, only the specified views are seen by the Sync App.

This User Defined View configuration file is formatted as follows:

• Each root element defines the name of a view.
• Each root element contains a child element, called query, which contains the custom 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)"
	}
}

"UserDefinedViews", C:\Users\yourusername\Desktop\tmp\UserDefinedViews.json

Boolean determining if simple names should be used for tables and columns.

Remarks

Amazon DynamoDB tables and columns can use special characters in names that are normally not allowed in standard databases. UseSimpleNames makes the Sync App easier to use with traditional database tools.

Setting UseSimpleNames to true will simplify the names of tables and columns returned. It will enforce a naming scheme such that only alphanumeric characters and the underscore are valid for the displayed table and column names. Any nonalphanumeric characters will be converted to an underscore.