Azure Cosmos DB Connection Details

Introduction

Connector Version

This documentation is based on version 25.0.9368 of the connector.

Get Started

Azure Cosmos DB Version Support

The connector enables standards-based access to Azure Cosmos DB.

Before You Connect

Before You Connect

Ensure that the Azure identity has the correct role assignment. For Microsoft Entra ID authentication, the identity is the account that you use to log into the browser.

For Microsoft Entra service principal authentication, the identity is the Application itself.

You can either create your own custom role definitions, or assign one of the built-in role definitions:

• CosmosDB Built-in Data Reader
• CosmosDB Built-in Data Contributor

You must also set the scope of the role assignment, where "/" means that the identity has access to all the databases.

For details, see Configure role-based access control for your Azure Cosmos DB account with Microsoft Entra ID.

Establish a Connection

Connect to Azure Cosmos DB

Azure Cosmos DB supports connecting and authenticating by Account Key, through Microsoft Entra ID, or through Microsoft Entra service principal.

Account Key

Log in to the Azure Portal, select Azure Cosmos DB, and select your account.

Set the following to authenticate:

• AccountEndpoint: The Cosmos DB account URL. Set this to the URI value found in the Settings > Keys blade of the Cosmos DB account.
• AccountKey: A master key token or a resource token for connecting to Azure Cosmos DB. Set this to the PRIMARY KEY value found in the Settings > Keys blade of the Cosmos DB account.
• TokenType: (optional). Set this to "master" (the default value) if you are using a Master Token, which is a full permissions token generated during account creation. Otherwise, set this property to "resource" if you are using a Resource Token, which is a custom permissions token generated when a database user is set up.

Entra ID (Microsoft Entra ID)

Microsoft Entra ID is a multi-tenant, cloud-based identity and access management platform. It supports OAuth-based authentication flows that enable the driver to access Azure Cosmos DB endpoints securely.

Authentication to Entra ID via a web application always requires that you first create and register a custom OAuth application. This enables your application to define its own redirect URI, manage credential scope, and comply with organization-specific security policies.

For full instructions on how to create and register a custom OAuth application, see Creating an Entra ID (Microsoft Entra ID) Application.

After setting AuthScheme to Microsoft Entra ID, the steps to authenticate vary, depending on the environment. For details on how to connect from desktop applications, web-based workflows, or headless systems, see the following sections..

Desktop Applications

You can authenticate from a desktop application using either the driver's embedded OAuth application or a custom OAuth application registered in Microsoft Entra ID.

Option 1: Use the Embedded OAuth Application

This is a pre-registered application, included with the driver. It simplifies setup and eliminates the need to register your own credentials and is ideal for development environments, single-user tools, or any setup where quick and easy authentication is preferred.

Set the following connection properties:

• AuthScheme: Microsoft Entra ID
• InitiateOAuth:
  • GETANDREFRESH – Use for the initial login. Launches the login page and saves tokens.
  • REFRESH – Use this setting when you have already obtained valid access and refresh tokens. Reuses stored tokens without prompting the user again.

When you connect, the driver opens the Microsoft Entra sign-in page in your default browser. After signing in and granting access, the driver retrieves the access and refresh tokens and saves them to the path specified by OAuthSettingsLocation.

Option 2: Use a Custom OAuth Application

If your organization requires more control, such as managing security policies, redirect URIs, or application branding, you can instead register a custom OAuth application in Microsoft Entra ID and provide its values during connection.

During registration, record the following values:

• OAuthClientId: The client ID that was generated when you registered your custom OAuth application.
• OAuthClientSecret: The client secret that was that was generated when you registered your custom OAuth application.
• CallbackURL: A redirect URI you defined during application registration.

For full instructions on how to register a custom OAuth application and configure redirect URIs, see Creating an Entra ID (Microsoft Entra ID) Application.

Set the following connection properties:

• AuthScheme: Microsoft Entra ID
• InitiateOAuth:
  • GETANDREFRESH – Use for the initial login. Launches the login page and saves tokens.
  • REFRESH – Use this setting when you have already obtained valid access and refresh tokens. Reuses stored tokens without prompting the user again.
• OAuthClientId: The client ID that was generated when you registered your custom OAuth application.
• OAuthClientSecret: The client secret that was generated when you registered your custom OAuth application.
• CallbackURL: A redirect URI you defined during application registration.

After authentication, tokens are saved to OAuthSettingsLocation. These values persist across sessions and are used to automatically refresh the access token when it expires, so you don't need to log in again on future connections.

Microsoft Entra service principal

Microsoft Entra service principal is role-based application-based authentication. This means that authentication is done per application, rather than per user. All tasks taken on by the application are executed without a default user context, but based on the assigned roles. The application access to the resources is controlled through the assigned roles' permissions.

For information about how to set up Microsoft Entra service principal authentication, see Creating a Service Principal App in Entra ID (Microsoft Entra ID).

Create an Entra ID (Microsoft Entra ID) Application

Create an Entra ID (Microsoft Entra ID) Application

Azure Cosmos DB supports OAuth-based authentication using Microsoft Entra ID. If you will connect via a web application and want to authenticate via Entra ID, you must first register a custom OAuth application in the Entra Admin Center, as described below.

Register the Application

To register an OAuth application in Microsoft Entra ID, follow these steps:

1. Go to https://portal.azure.com.

2. In the left-hand navigation pane, select Microsoft Entra ID > App registrations.

3. Click New registration.

4. Enter a name for the application.

5. Specify the types of accounts this application should support:

   • For private-use applications, select Accounts in this organization directory only.
   • For distributed applications, select one of the multi-tenant options.

1. Set the redirect URI to http://localhost:33333 (default), or use another URI appropriate for your deployment.

   When using a custom redirect URI set a CallbackURL connection property; in those cases, set it to match this URI exactly.

2. Click Register. The application management screen opens. Record these values for later use:

   • Application (client) ID is used for OAuthClientId
   • Directory (tenant) ID is used for AzureTenant

3. Go to Certificates & Secrets. Click New Client Secret, set the desired expiration, and save the generated value. This value will only be shown once — record it to use with OAuthClientSecret.

4. To confirm, click Add permissions.

Create a Service Principal App in Entra ID (Microsoft Entra ID)

Create a Service Principal App in Entra ID (Microsoft Entra ID)

Azure Cosmos DB supports Service Principal-based authentication, which is role-based. This means that the Service Principal's permissions are determined by the roles assigned to it. The roles specify what resources the Service Principal can access and which operations it can perform.

If you want to use a Service Principal to authenticate to Azure Cosmos DB, you must create a custom application in Microsoft Entra ID.

To enable Service Principal authentication:

• Confirm that you have permission to register applications and assign roles in your tenant.
• Register a new application and configure credentials and permissions in the Entra Admin Center.

Register the Application

1. Go to https://portal.azure.com.
2. In the left-hand navigation pane, select Microsoft Entra ID > App registrations.
3. Click New registration.
4. Enter a name for the application.
5. Select the desired tenant setup. Since this custom application is for Service Principal use, choose Any Microsoft Entra ID tenant – Multitenant.
6. Click Register. The application management screen opens. Note the value in Application (client) ID as the OAuthClientId and the Directory (tenant) ID as the AzureTenant
7. Navigate to Certificates & Secrets and define the application authentication type. Two types of authentication are available: certificate (recommended) or client secret
   • For certificate authentication: In Certificates & Secrets, select Upload certificate, then upload the certificate from your local machine. For more information on creating a self-signed certificate, see Create a self-signed certificate
   • For creating a new client secret: In Certificates & Secrets, select New Client Secret for the application and specify its duration. After the client secret is saved, Azure Cosmos DB displays the key value. This value is displayed only once, so be sure to record it for future use. Use this value for the OAuthClientSecret
8. Navigate to Authentication and select the Access tokens option.
9. Save your changes.

Consent for Client Credentials

OAuth supports the use of client credentials to authenticate. In a client credentials authentication flow, credentials are created for the authenticating application itself. The auth flow acts just like the usual auth flow, except that there is no prompt for an associated user to provide credentials. All tasks accepted by the application are executed outside of the context of a default user.

1. Log in to https://portal.azure.com
2. Create a custom OAuth application, as described above.
3. Navigate to App Registrations.
4. Find the application you just created, and open API Permissions.
5. Select the Microsoft Graph permissions. There are two distinct sets of permissions: Delegated and Application.
6. For use with Service Principal, specify Application permissions.
7. Select the permissions you require for your integration.

Fine-Tuning Data Access

Fine Tuning Data Access

You can use the following properties to gain greater control over Azure Cosmos DB API features and the strategies the connector uses to surface them:

• RowScanDepth: This property determines the number of rows that will be scanned to detect column data types when generating table metadata.
• TypeDetectionScheme: This property allows more control over the strategy implemented by the RowScanDepth property.
• GenerateSchemaFiles: This property enables you to persist table metadata in static schema files that are easy to customize, to persist your changes to column data types, for example.
  You can set this property to "OnStart" to generate schema files for all tables in your database at connection. Or, you can generate schemas as you execute SELECT queries to tables.
  The resulting schemas are based on the connection properties you use to configure Automatic Schema Discovery
  To use the resulting schema files, set the Location property to the folder containing the schemas.

Set a RU Budget for Batch Writes

The connector supports batch CUD (Create, Update, Delete) operations. Batch processing is achieved by issuing multiple requests simultaneously. Even though this method greatly improves the performance for write operations, the cost of these operations is relatively high, thus the Request Units (RU) budget per second for a certain container or database may be exceeded. Depending on your Azure Cosmos DB Service Quotas, exceeding the RU budgets may incur in extra costs, or it may even temporary throttle or interrupt the Azure Cosmos DB usage for other workloads.

In order to avoid exceeding the RU budget per second, the connector dynamically adjusts the number of concurrent requests per second depending on the set WriteThroughputBudget and the constantly adjusted average RU cost per statement. The user can utilize the WriteThroughputBudget connection property to define the RU budged per second, that batch write operations should not exceed. Another important factor in batch write operations is the MaxThreads connection property, which specifies the maximum number of concurrent requests. If using a low MaxThreads value, the connector might not be able to efficiently use the available budget.

Since the requests throttling logic is applied client-side, in a few cases the RU/s budged may be exceeded by a relatively small amount. These cases include inserting, updating and deleting records with highly variable column count and input value length per column.

Important Notes

Configuration Files and Their Paths

• All references to adding configuration files and their paths refer to files and locations on the Jitterbit agent where the connector is installed. These paths are to be adjusted as appropriate depending on the agent and the operating system. If multiple agents are used in an agent group, identical files will be required on each agent.

NoSQL Database

Azure Cosmos DB is a schemaless, document 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 connector offers to bridge the gap with relational SQL and a document database.

Work with Azure Cosmos DB Objects as Tables

The connector models the schemaless Azure Cosmos DB objects into relational tables and translates SQL queries into Azure Cosmos DB queries to get the requested data. See Query Mapping (Sql API) for more details on how various Azure Cosmos DB operations are represented as SQL.

Discover Schemas Automatically

The Automatic Schema Discovery scheme automatically finds the data types in a Azure Cosmos DB object by scanning a configured number of rows of the object. You can use RowScanDepth, FlattenArrays, and FlattenObjects to control the relational representation of the collections in Azure Cosmos DB. You can also write Free-Form Queries not tied to the schema.

Customize Schemas

Optionally, you can use Custom Schema Definitions to project your chosen relational structure on top of a Azure Cosmos DB object. This allows you to define your chosen names of columns, their data types, and the location of their values in the collection.

Set GenerateSchemaFiles to save the detected schemas as simple configuration files that are easy to extend. You can persist schemas for all collections in the database or for the results of SELECT queries.

Limitations of the RawValue TypeDetectionScheme

If the TypeDetectionScheme is set to RawValue, the connector will push each document as single aggregate value on a column named JsonData, along with its resource identifier on the separate Primary Key column. The JSON documents are not processed, and as a result, the below functionalities are NOT supported with this configuration.

• Automatic Schema Discovery
• Free-Form Queries
• Vertical Flattening
• SQL API Built-In Functions
• SQL API GROUP BY
• SQL API JOIN IN
• Almost all server side supported filters apart from WHERE clause conditions built with the resource identifier.

Automatic Schema Discovery

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

Flatten 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
}

This document will be represented by the following columns:

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.

Flatten 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 ]

The FlattenArrays property can be set to 2 to represent the array above as follows:

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

Free-Form Queries

As discussed in Automatic Schema Discovery, intuited table schemas enable SQL access to unstructured Azure Cosmos DB data. JSON Functions enable you to use standard JSON functions to summarize Azure Cosmos DB data and extract values from any nested structures. Custom Schema Definitions enable you to define static tables and give you more granular control over the relational view of your data; for example, you can write schemas defining parent/child tables or fact/dimension tables. However, you are not limited to these schemes.

After connecting you can query any nested structure without flattening the data. Any relations that you can access with FlattenArrays and FlattenObjects can also be accessed with an ad hoc SQL query.

Let's consider an example document from the following Restaurant data set:

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

You can access any nested structure in this document as a column. Use the dot notation to drill down to the values you want to access as shown in the query below. Note that arrays have a zero-based index. For example, the following query retrieves the second grade for the restaurant in the example:

SELECT [address.building], [grades.1.grade] FROM restaurants WHERE restaurant_id = '30075445'

The preceding query returns the following results:

Vertical Flattening

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

{
  "_id" : ObjectId("568c37b748ddf53c5ed98932"),
  "address" : {
    "building" : "1007",
    "coord" : [-73.856077, 40.848447],
    "street" : "Morris Park Ave",
    "zipcode" : "10462"
  },
  "borough" : "Bronx",
  "cuisine" : "Bakery",
  "grades" : [{
      "date" : ISODate("2014-03-03T00:00:00Z"),
      "grade" : "A",
      "score" : 2
    }, {
      "date" : ISODate("2013-09-11T00:00:00Z"),
      "grade" : "A",
      "score" : 6
    }, {
      "date" : ISODate("2013-01-24T00:00:00Z"),
      "grade" : "A",
      "score" : 10
    }, {
      "date" : ISODate("2011-11-23T00:00:00Z"),
      "grade" : "A",
      "score" : 9
    }, {
      "date" : ISODate("2011-03-10T00:00:00Z"),
      "grade" : "B",
      "score" : 14
    }],
  "name" : "Morris Park Bake Shop",
  "restaurant_id" : "30075445"
}

Vertical flattening will allow you to retrieve the grades array as a separate table:

SELECT * FROM [restaurants.grades]

This query returns the following data set:

You may also want to include information from the base restaurants table. You can do this with a join. Flattened arrays can only be joined with the root document. The connector expects the left part of the join is the array document you want to flatten vertically. Set SupportEnhancedSQL to false to join nested Azure Cosmos DB documents -- this type of query is supported through the Azure Cosmos DB API.

SELECT [restaurants].[restaurant_id], [restaurants.grades].* FROM [restaurants.grades] JOIN [restaurants] WHERE [restaurants].name = 'Morris Park Bake Shop'

This query returns the following data set:

JSON Functions

The connector can return JSON structures as column values. The connector 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

The JSON_EXTRACT function can extract individual values from a JSON object. The following query returns the values shown below based on the JSON path passed as the second argument to the function:

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

JSON_COUNT

The JSON_COUNT function returns the number of elements in a JSON array within a JSON object. The following query returns the number of elements specified by the JSON path passed as the second argument to the function:

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

JSON_SUM

The JSON_SUM function returns the sum of the numeric values of a JSON array within a JSON object. The following query returns the total of the values specified by the JSON path passed as the second argument to the function:

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

JSON_MIN

The JSON_MIN function returns the lowest numeric value of a JSON array within a JSON object. The following query returns the minimum value specified by the JSON path passed as the second argument to the function:

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

JSON_MAX

The JSON_MAX function returns the highest numeric value of a JSON array within a JSON object. The following query returns the maximum value specified by the JSON path passed as the second argument to the function:

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;

The query above will return the entire document as shown.

{ "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 }

SQL API Built-In Functions

Cosmos DB also supports a number of built-in functions for common operations, that can be used inside queries. Here are some example of how can be used as part of select columns or the WHERE clause:

Use Built-in functions as part of SELECT columns

SELECT IS_NUMBER(user_id) AS ISN_ATTR, IS_NUMBER(id) AS ISN_ID FROM [users]
SELECT POWER(user_id, 2) AS POWERSSS, LENGTH(id) AS LENGTH_ID, PI() AS JustThePI FROM [users]

Use Built-in functions as part of WHERE clause

SELECT * FROM [users] WHERE STARTSWITH(middle_name, 'G')
SELECT * FROM [users] WHERE REPLACE(middle_name, 'Chr', '___') = '___istopher'

Mathematical functions

The mathematical functions each perform a calculation, based on input values that are provided as arguments, and return a numeric value. Here's a table of supported built-in mathematical functions.

Type checking functions

The type checking functions allow you to check the type of an expression within SQL queries. Type checking functions can be used to determine the type of properties within documents dynamically when it is variable or unknown. Here's a table of supported built-in type checking functions.

Stre functions

The following scalar functions perform an operation on a string input value and return a string, numeric or Boolean value. Here's a table of built-in string functions:

Array functions

The following scalar functions perform an operation on an array input value and return numeric, Boolean or array value. Here's a table of built-in array functions:

Nested functions

You can also perform nested built-in functions, which are processed server side as well:

i.e. SELECT TOP 10 CONCAT(SUBSTRING(UPPER(cuisine), 0, 3), '-cuisine') FROM [restaurants]

SQL API GROUP BY

The GROUP BY clause divides the query's results according to the values of one or more specified properties. This operation is partially done server-side because of some API limitations. We still need to operate a client-side grouping.

GROUP BY Examples

SELECT COUNT(*) AS CNT, gender FROM [users] GROUP BY gender

SELECT COUNT(*) AS CNT, gender, doc_type FROM [users] GROUP BY gender, doc_type

SQL API JOIN IN

Cosmos DB's SQL API supports a special type of join operation called JOIN IN, which is specifically designed for working with nested arrays within documents. Unlike traditional SQL joins that combine data from separate tables, JOIN IN allows you to "flatten" and query nested array elements within a single document.

Document Structure Example

Consider a document in a 'restaurants' collection with the following structure:

{
"id": "3",
"name": "DEV Park Bake Shop",
"cuisine": "Bakery",
"grades": [
{
"date": 1393804800000,
"grade": "D",
"score": 2
},
{
"date": 1378857600000,
"grade": "A",
"score": 6
}
]
}

SQL Query Syntax

To query nested array elements, use the following SQL syntax:

SELECT c.Id, g.grade, g.score, g.date
FROM restaurants c
JOIN g IN c.grades
WHERE c.[name] = 'DEV Park Bake Shop'

CosmosDB Translation

The query is automatically translated to CosmosDB's SQL API format:

SELECT c["Id"], g["grade"], g["score"], g["date"]
FROM C AS c
JOIN g IN c.grades
WHERE c["name"] = "DEV Park Bake Shop"

Query Mapping (Sql API)

The connector maps SQL queries into the corresponding Azure Cosmos DB SQL API queries. A detailed description of all the transformations is out of scope, but we will describe some of the common elements that are used. The connector takes advantage of SQL API features such as the aggregation framework to compute the desired results.

SELECT Queries

Since all requests can be submitted to a specific collection, we can send any constant string as table name to the API. Following the Azure Portal standard we are using the "C" character as table name.

SELECT id, name FROM Users

SELECT * FROM Users WHERE name = 'A'

SELECT * FROM Users WHERE name = 'A' OR email = 'zoe55@gmail.com'

SELECT id, grantamt FROM WorldBank WHERE grantamt IN (4500000, 85400000) OR grantamt = 16200000

SELECT * FROM WorldBank WHERE CountryCode = 'A' ORDER BY TotalCommAmt ASC

SELECT * FROM WorldBank WHERE CountryCode = 'A' ORDER BY TotalCommAmt DESC

Aggregate Queries

The connector makes extensive use of this for various aggregate queries. See some examples below:

SELECT COUNT(grantamt) AS COUNT_GRAMT FROM WorldBank

SELECT SUM(grantamt) AS SUM_GRAMT FROM WorldBank

Built-In functions

SELECT IS_NUMBER(grantamt) AS ISN_ATTR, IS_NUMBER(id) AS ISN_ID FROM WorldBank

SELECT POWER(totalamt, 2) AS POWERS_A, LENGTH(id) AS LENGTH_ID, PI() AS ThePI FROM WorldBank

Custom Schema Definitions

You can extend the table schemas created with Automatic Schema Discovery by saving them into schema files. The schema files have a simple format that makes the schemas to edit.

Generate Schema Files

Set GenerateSchemaFiles to "OnStart" to persist schemas for all tables when you connect. You can also generate table schemas as needed: Set GenerateSchemaFiles to "OnUse" and execute a SELECT query to the table.

For example, consider a schema for the restaurants data set. This is a sample data set provided by Azure Cosmos DB.

Below is an example document from the collection:

{
  "address":{
    "building":"461",
      "coord":[
        -74.138492,
        40.631136
      ],
      "street":"Port Richmond Ave",
      "zipcode":"10302"
   },
   "borough":"Staten Island",
   "cuisine":"Other",
   "name":"Indian Oven",
   "restaurant_id":"50018994"
}

Customize a Schema

When GenerateSchemaFiles is set, the connector saves schemas into the folder specified by the Location property. You can then change column behavior in the resulting schema.

The following schema uses the other:bsonpath property to define where in the collection to retrieve the data for a particular column. Using this model you can flatten arbitrary levels of hierarchy.

Below are the corresponding column definitions for the restaurants data set. In Custom Schema Example, you will find the complete schema.

<rsb:script xmlns:rsb="http://www.rssbus.com/ns/rsbscript/2">

  <rsb:info title="StaticRestaurants" description="Custom Schema for the restaurants data set.">
    <!-- Column definitions -->
    <attr   name="_rid"               xs:type="string"   key="true"   other:collrid="hWdRAKRi3Pg=" other:dbrid="hWdRAA==" other:partitionpath="/name" />
    <attr   name="borough"            xs:type="string"   />
    <attr   name="cuisine"            xs:type="string"   />
    <attr   name="address.building"   xs:type="string"   />
    <attr   name="address.street"     xs:type="string"   />
    <attr   name="address.coord.0"    xs:type="double"   />
    <attr   name="address.coord.1"    xs:type="double"   />
    <input name="rows@next" desc="Internal attribute used for paging through data."  />
  </rsb:info>

  <rsb:set attr="collection" value="restaurants"/>

</rsb:script>

Custom Schema Example

This section contains a complete schema. The info section enables a relational view of a Azure Cosmos DB object. 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.

Copy the rows@next input as-is into your schema. The operations, such as cosmosdbadoSysData, are internal implementations and can also be copied as is.

Set the Location property to the file directory that will contain the schema file.

When, creating custom schemas, the attr for _rid, shown below, is required.

Also required are three properties for the _rid column definition:

• other:dbrid is found in the _self property of an item in the collection, after "dbs/".
• other:collrid is found in the _self property of an item in the collection, after "/colls/".
• other:partitionpath refers to the name of the partition specified when the collection was created.

<rsb:script xmlns:rsb="http://www.rssbus.com/ns/rsbscript/2">

  <rsb:info title="StaticRestaurants" description="Custom Schema for the restaurants data set.">
    <!-- Column definitions -->
    <attr   name="_rid"               xs:type="string"   key="true"   other:collrid="hWdRAKRi3Pg=" other:dbrid="hWdRAA==" other:partitionpath="/name" />
    <attr   name="borough"            xs:type="string"   />
    <attr   name="cuisine"            xs:type="string"   />
    <attr   name="address.building"   xs:type="string"   />
    <attr   name="address.street"     xs:type="string"   />
    <attr   name="address.coord.0"    xs:type="double"   />
    <attr   name="address.coord.1"    xs:type="double"   />
    <input name="rows@next" desc="Internal attribute used for paging through data."  />
  </rsb:info>

  <rsb:script method="GET">
    <rsb:call op="cosmosdbadoSysData">
      <rsb:push />
    </rsb:call>
  </rsb:script>

  <rsb:script method="POST">
    <rsb:call op="cosmosdbadoSysData">
      <rsb:push />
    </rsb:call>
  </rsb:script>

  <rsb:script method="MERGE">
    <rsb:call op="cosmosdbadoSysData">
      <rsb:push />
    </rsb:call>
  </rsb:script>

  <rsb:script method="DELETE">
    <rsb:call op="cosmosdbadoSysData">
      <rsb:push />
    </rsb:call>
  </rsb:script>

</rsb:script>

System Tables

You can query the system tables described in this section to access schema information, information on data source functionality, and batch operation statistics.

Schema Tables

The following tables return database metadata for Azure Cosmos DB:

• sys_catalogs: Lists the available databases.
• sys_schemas: Lists the available schemas.
• sys_tables: Lists the available tables and views.
• sys_tablecolumns: Describes the columns of the available tables and views.
• sys_procedures: Describes the available stored procedures.
• sys_procedureparameters: Describes stored procedure parameters.
• sys_keycolumns: Describes the primary and foreign keys.
• sys_indexes: Describes the available indexes.

Data Source Tables

The following tables return information about how to connect to and query the data source:

• sys_connection_props: Returns information on the available connection properties.
• sys_sqlinfo: Describes the SELECT queries that the connector can offload to the data source.

Query Information Tables

The following table returns query statistics for data modification queries, including batch operations:

• sys_identity: Returns information about batch operations or single updates.

sys_catalogs

Lists the available databases.

The following query retrieves all databases determined by the connection string:

SELECT * FROM sys_catalogs

Columns

sys_schemas

Lists the available schemas.

The following query retrieves all available schemas:

SELECT * FROM sys_schemas

Columns

sys_tables

Lists the available tables.

The following query retrieves the available tables and views:

SELECT * FROM sys_tables

Columns

sys_tablecolumns

Describes the columns of the available tables and views.

The following query returns the columns and data types for the [].[Entities].Customers table:

SELECT ColumnName, DataTypeName FROM sys_tablecolumns WHERE TableName='Customers' AND CatalogName='' AND SchemaName='Entities'

Columns

sys_procedures

Lists the available stored procedures.

The following query retrieves the available stored procedures:

SELECT * FROM sys_procedures

Columns

sys_procedureparameters

Describes stored procedure parameters.

The following query returns information about all of the input parameters for the EVAL stored procedure:

SELECT * FROM sys_procedureparameters WHERE ProcedureName = 'EVAL' AND Direction = 1 OR Direction = 2

To include result set columns in addition to the parameters, set the IncludeResultColumns pseudo column to True:

SELECT * FROM sys_procedureparameters WHERE ProcedureName = 'EVAL' AND IncludeResultColumns='True'

Columns

Pseudo-Columns

sys_keycolumns

Describes the primary and foreign keys.

The following query retrieves the primary key for the [].[Entities].Customers table:

SELECT * FROM sys_keycolumns WHERE IsKey='True' AND TableName='Customers' AND CatalogName='' AND SchemaName='Entities'

Columns

sys_foreignkeys

Describes the foreign keys.

The following query retrieves all foreign keys which refer to other tables:

SELECT * FROM sys_foreignkeys WHERE ForeignKeyType = 'FOREIGNKEY_TYPE_IMPORT'

Columns

sys_primarykeys

Describes the primary keys.

The following query retrieves the primary keys from all tables and views:

SELECT * FROM sys_primarykeys

Columns

sys_indexes

Describes the available indexes. By filtering on indexes, you can write more selective queries with faster query response times.

The following query retrieves all indexes that are not primary keys:

SELECT * FROM sys_indexes WHERE IsPrimary='false'

Columns

sys_connection_props

Returns information on the available connection properties and those set in the connection string.

The following query retrieves all connection properties that have been set in the connection string or set through a default value:

SELECT * FROM sys_connection_props WHERE Value <> ''

Columns

sys_sqlinfo

Describes the SELECT query processing that the connector can offload to the data source.

Discover the Data Source's SELECT Capabilities

Below is an example data set of SQL capabilities. Some aspects of SELECT functionality are returned in a comma-separated list if supported; otherwise, the column contains NO.

The following query retrieves the operators that can be used in the WHERE clause:

SELECT * FROM sys_sqlinfo WHERE Name = 'SUPPORTED_OPERATORS'

Note that individual tables may have different limitations or requirements on the WHERE clause; refer to the NoSQL Database section for more information.

Columns

sys_identity

Returns information about attempted modifications.

The following query retrieves the Ids of the modified rows in a batch operation:

SELECT * FROM sys_identity

Columns

sys_information

Describes the available system information.

The following query retrieves all columns:

SELECT * FROM sys_information

Columns

Stored Procedures

Stored procedures are function-like interfaces that extend the functionality of the connector beyond simple SELECT/INSERT/UPDATE/DELETE operations with Azure Cosmos DB.

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

Azure Cosmos DB Connector Stored Procedures

AddDocument

Insert entire JSON string to CosmosDB.

Input

Result Set Columns

CreateSchema

Creates a schema file for the collection.

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 connector 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 connector.

Input

Result Set Columns

GetOAuthAccessToken

Gets the OAuth access token from CosmosDB.

Input

Result Set Columns

GetOAuthAuthorizationURL

Gets the CosmosDB authorization URL. Access the URL returned in the output in a Web browser. This requests the access token that can be used as part of the connection string to CosmosDB.

Input

Result Set Columns

RefreshOAuthAccessToken

Refreshes the OAuth access token used for authentication with CosmosDB.

Input

Result Set Columns

Advanced Configurations Properties

The advanced configurations 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. Click the links for further details.

Authentication

Azure Authentication

OAuth

JWT OAuth

SSL

Schema

Miscellaneous

Authentication

This section provides a complete list of authentication properties you can configure.

AuthScheme

The type of authentication to use when connecting to Azure Cosmos DB.

Possible Values

AccountKey, Microsoft Entra ID, AzureServicePrincipal, AzureServicePrincipalCert

Data Type

string

Default Value

AccountKey

Remarks

• AccountKey: Set this to perform authentication with AccountKey and AccountEndpoint.
• Microsoft Entra ID: Set this to perform Microsoft Entra ID OAuth authentication.
• AzureServicePrincipal: Set this to authenticate as a Microsoft Entra service principal using a Client Secret.
• AzureServicePrincipalCert: Set this to authenticate as a Microsoft Entra service principal using a Certificate.

AccountEndpoint

The value should be the Cosmos DB account URL from the Keys blade of the Cosmos DB account.

Data Type

string

Default Value

""

Remarks

The value should be the Cosmos DB account URL from the Keys blade of the Cosmos DB account.

AccountKey

A master key token or a resource token for connecting to the Azure Cosmos DB REST API.

Data Type

string

Default Value

""

Remarks

In the Azure portal, navigate to the Cosmos DB service and select your Azure Cosmos DB account. From the resource menu, go to the Keys page. Find the PRIMARY KEY value and set Token to this value.

TokenType

Denotes the type of token: master or resource.

Possible Values

master, resource

Data Type

string

Default Value

master

Remarks

The master key is created during the creation of an account. There are two sets of master keys, the primary key and the secondary key. The administrator of the account can then exercise key rotation using the secondary key. In addition, the account administrator can also regenerate the keys as needed.

Resource tokens are created when users in a database are set up with access permissions for precise access control on a resource, also known as a permission resource. A permission resource contains a hash resource token constructed with the information regarding the resource path and access type a user has access to. The permission resource token is time bound and the validity period can be overridden. When a permission resource is acted upon on (POST, GET, PUT), a new resource token is generated.

Azure Authentication

This section provides a complete list of Azure authentication properties you can configure.

AzureTenant

Identifies the Azure Cosmos DB tenant being used to access data. Accepts either the tenant's domain name (for example, contoso.onmicrosoft.com) or its directory (tenant) ID.

Data Type

string

Default Value

""

Remarks

A tenant is a digital container for your organization's users and resources, managed through Microsoft Entra ID (formerly Microsoft Entra ID). Each tenant is associated with a unique directory ID, and often with a custom domain (for example, microsoft.com or contoso.onmicrosoft.com).

You can locate the directory (tenant) ID in the Microsoft Entra admin center by navigating to Microsoft Entra ID > Properties and copying the value labeled "Directory (tenant) ID".

This property is required in the following cases:

• When AuthScheme is set to AzureServicePrincipal or AzureServicePrincipalCert
• When AuthScheme is Microsoft Entra ID and the user account belongs to multiple tenants

You can provide the tenant value in one of two formats:

• A domain name (for example, contoso.onmicrosoft.com)
• A directory (tenant) ID in GUID format (for example, c9d7b8e4-1234-4f90-bc1a-2a28e0f9e9e0)

Specifying the tenant explicitly ensures that the authentication request is routed to the correct directory, which is especially important when a user belongs to multiple tenants or when using service principal–based authentication.

If this value is omitted when required, authentication may fail or connect to the wrong tenant. This can result in errors such as unauthorized or resource not found.

A tenant is a digital container for your organization's users and resources, managed through Microsoft Entra ID (formerly Microsoft Entra ID). Each tenant is associated with a unique directory ID, and often with a custom domain (for example, microsoft.com or contoso.onmicrosoft.com).

You can locate the directory (tenant) ID in the Microsoft Entra admin center by navigating to Microsoft Entra ID > Properties and copying the value labeled "Directory (tenant) ID".

This property is required in the following cases:

• When AuthScheme is set to AzureServicePrincipal or AzureServicePrincipalCert
• When AuthScheme is Microsoft Entra ID and the user account belongs to multiple tenants

You can provide the tenant value in one of two formats:

• A domain name (for example, contoso.onmicrosoft.com)
• A directory (tenant) ID in GUID format (for example, c9d7b8e4-1234-4f90-bc1a-2a28e0f9e9e0)

Specifying the tenant explicitly ensures that the authentication request is routed to the correct directory, which is especially important when a user belongs to multiple tenants or when using service principal–based authentication.

If this value is omitted when required, authentication may fail or connect to the wrong tenant. This can result in errors such as unauthorized or resource not found.

AzureEnvironment

Specifies the Azure network environment to which you will connect. Must be the same network to which your Azure account was added.

Possible Values

GLOBAL, CHINA, USGOVT, USGOVTDOD

Data Type

string

Default Value

GLOBAL

Remarks

Required if your Azure account is part of a different network than the Global network, such as China, USGOVT, or USGOVTDOD.

OAuth

This section provides a complete list of OAuth properties you can configure.

InitiateOAuth

Specifies the process for obtaining or refreshing the OAuth access token, which maintains user access while an authenticated, authorized user is working.

Possible Values

OFF, REFRESH, GETANDREFRESH

Data Type

string

Default Value

OFF

Remarks

OAuth is an authorization framework that enables applications to obtain limited access to user accounts on an HTTP service. The OAuth flow defines the method to be used for logging in users, exchanging their credentials for an OAuth access token to be used for authentication, and providing limited access to applications.

Azure Cosmos DB supports the following options for initiating OAuth access:

1. OFF: No automatic OAuth flow initiation. The OAuth flow is handled entirely by the user, who will take action to obtain their OAuthAccessToken. Note that with this setting the user must refresh the token manually and reconnect with an updated OAuthAccessToken property when the current token expires.
2. GETANDREFRESH: The OAuth flow is handled entirely by the connector. If a token already exists, it is refreshed when necessary. If no token currently exists, it will be obtained by prompting the user to login.
3. REFRESH: The user handles obtaining the OAuth Access Token and sets up the sequence for refreshing the OAuth Access Token. (The user is never prompted to log in to authenticate. After the user logs in, the connector handles the refresh of the OAuth Access Token.

OAuthClientId

Specifies the client ID (also known as the consumer key) assigned to your custom OAuth application. This ID is required to identify the application to the OAuth authorization server during authentication.

Data Type

string

Default Value

""

Remarks

This property is required when using a custom OAuth application, such as in web-based authentication flows, service-based authentication, or certificate-based flows that require application registration. It is also required if an embedded OAuth application is not available for the driver. When an embedded OAuth application is available, this value may already be provided by the connector and not require manual entry.

This value is generally used alongside other OAuth-related properties such as OAuthClientSecret and OAuthSettingsLocation when configuring an authenticated connection.

OAuthClientId is one of the key connection parameters that need to be set before users can authenticate via OAuth. You can typically find this value in your identity provider’s application registration settings. Look for a field labeled Client ID, Application ID, or Consumer Key.

While the client ID is not considered a confidential value like a client secret, it is still part of your application's identity and should be handled carefully. Avoid exposing it in public repositories or shared configuration files.

OAuthClientSecret

Specifies the client secret assigned to your custom OAuth application. This confidential value is used to authenticate the application to the OAuth authorization server.

Data Type

string

Default Value

""

Remarks

This property is required when using a custom OAuth application in any flow that requires secure client authentication, such as web-based OAuth, service-based connections, or certificate-based authorization flows. It is not required when using an embedded OAuth application.

The client secret is used during the token exchange step of the OAuth flow, when the driver requests an access token from the authorization server. If this value is missing or incorrect, authentication will fail, and the server may return an invalid_client or unauthorized_client error.

OAuthClientSecret is one of the key connection parameters that need to be set before users can authenticate via OAuth. You can obtain this value from your identity provider when registering the OAuth application. It may be referred to as the client secret, application secret, or consumer secret.

This value should be stored securely and never exposed in public repositories, scripts, or unsecured environments. Client secrets may also expire after a set period. Be sure to monitor expiration dates and rotate secrets as needed to maintain uninterrupted access.

OAuthAccessToken

Specifies the OAuth access token used to authenticate requests to the data source. This token is issued by the authorization server after a successful OAuth exchange.

Data Type

string

Default Value

""

Remarks

The OAuthAccessToken is a temporary credential that authorizes access to protected resources. It is typically returned by the identity provider after the user or client application completes an OAuth authentication flow. This property is most commonly used in automated workflows or custom OAuth implementations where you want to manage token handling outside of the driver.

The OAuth access token has a server-dependent timeout, limiting user access. This is set using the OAuthExpiresIn property. However, it can be reissued between requests to keep access alive as long as the user keeps working.

If InitiateOAuth is set to REFRESH, we recommend that you also set both OAuthExpiresIn and OAuthTokenTimestamp. The connector uses these properties to determine when the token expires so it can refresh most efficiently. If OAuthExpiresIn and OAuthTokenTimestamp are not specified, the connector refreshes the token immediately.

Access tokens should be treated as sensitive credentials and stored securely. Avoid exposing them in logs, scripts, or configuration files that are not access-controlled.

OAuthSettingsLocation

Specifies the location of the settings file where OAuth values are saved. Storing OAuth settings in a central location avoids the need for users to enter OAuth connection properties manually each time they log in. It also enables credentials to be shared across connections or processes.

Data Type

string

Default Value

%APPDATA%\CosmosDB Data Provider\OAuthSettings.txt

Remarks

You can store OAuth values in a central file for shared access to those values, in either of the following ways:

• Set InitiateOAuth to either GETANDREFRESH or REFRESH and specify a filepath to the OAuth settings file.
• Use memory storage to load the credentials into static memory.

The following sections provide more detail on each of these methods.

Specifying the OAuthSettingsLocation Filepath

The default OAuth setting location is %APPDATA%\CosmosDB Data Provider\OAuthSettings.txt, with %APPDATA% set to the user's configuration directory.

Default values vary, depending on the user's operating system.

• Windows (ODBC and Power BI): registry://%DSN%
• Windows: %APPDATA%CosmosDB Data Provider\OAuthSettings.txt
• Mac: %APPDATA%//CosmosDB Data Provider/OAuthSettings.txt
• Linux: %APPDATA%//CosmosDB Data Provider/OAuthSettings.txt

Loading Credentials Via Memory Storage

Memory locations are specified by using a value starting with memory://, followed by a unique identifier for that set of credentials (for example, memory://user1). The identifier can be anything you choose, but it should be unique to the user.

Unlike file-based storage, where credentials persist across connections, memory storage loads the credentials into static memory and the credentials are shared between connections using the same identifier for the life of the process. To persist credentials outside the current process, you must manually store the credentials prior to closing the connection. This enables you to set them in the connection when the process is started again.

To retrieve OAuth property values, query the sys_connection_props system table. If there are multiple connections using the same credentials, the properties are read from the previously closed connection.

Supported Storage Types

• **memory://**: Stores OAuth tokens in-memory (unique identifier, shared within same process, etc.)
• **registry://**: Only supported in the Windows ODBC and Power BI editions. Stores OAuth tokens in the registry under the DSN settings. Must end in a DSN name like registry://Azure` Cosmos DB connector Data Source`, orregistry://%DSN%``.
• %DSN%: The name of the DSN you are connecting with.
• Default (no prefix): Stores OAuth tokens within files. The value can be either an absolute path, or a path starting with %APPDATA% or %PROGRAMFILES%.

CallbackURL

Identifies the URL users return to after authenticating to Azure Cosmos DB via OAuth. (Custom OAuth applications only.).

Data Type

string

Default Value

""

Remarks

If you created a custom OAuth application, the OAuth authorization server redirects the user to this URL during the authentication process. This value must match the callback URL you specified when you Configured the custom OAuth application.

Scope

Specifies the scope of the authenticating user's access to the application. Generally specified at the time the custom OAuth application is created (if necessary), so that the authenticating user can obtain the the level of access appropriate to their credentials.

Data Type

string

Default Value

""

Remarks

Scopes are set to define what kind of access the authenticating user will have; for example, read, read and write, restricted access to sensitive information. System administrators can use scopes to selectively enable access by functionality or security clearance.

When InitiateOAuth is set to GETANDREFRESH, you must use this property if you want to change which scopes are requested. When InitiateOAuth is set to either REFRESH or OFF, you can use either this property or the Scope input to change which scopes are requested.

OAuthVerifier

Specifies a verifier code returned from the OAuthAuthorizationURL . Used when authenticating to OAuth on a headless server, where a browser can't be launched. Requires both OAuthSettingsLocation and OAuthVerifier to be set.

Data Type

string

Default Value

""

OAuthRefreshToken

Specifies the OAuth refresh token used to request a new access token after the original has expired.

Data Type

string

Default Value

""

Remarks

The refresh token is used to obtain a new access token when the current one expires. It enables seamless authentication for long-running or automated workflows without requiring the user to log in again. This property is especially important in headless, CI/CD, or server-based environments where interactive authentication is not possible.

The refresh token is typically obtained during the initial OAuth exchange by calling the GetOAuthAccessToken stored procedure. After that, it can be set using this property to enable automatic token refresh, or passed to the RefreshOAuthAccessToken stored procedure if you prefer to manage the refresh manually.

When InitiateOAuth is set to REFRESH, the driver uses this token to retrieve a new access token automatically. After the first refresh, the driver saves updated tokens in the location defined by OAuthSettingsLocation, and uses those values for subsequent connections.

The OAuthRefreshToken should be handled securely and stored in a trusted location. Like access tokens, refresh tokens can expire or be revoked depending on the identity provider’s policies.

OAuthExpiresIn

Specifies the duration in seconds, of an OAuth Access Token's lifetime. The token can be reissued to keep access alive as long as the user keeps working.

Data Type

string

Default Value

""

Remarks

The OAuth Access Token is assigned to an authenticated user, granting that user access to the network for a specified period of time. The access token is used in place of the user's login ID and password, which stay on the server.

An access token created by the server is only valid for a limited time. OAuthExpiresIn is the number of seconds the token is valid from when it was created. For example, a token generated at 2024-01-29 20:00:00 UTC that expires at 2024-01-29 21:00:00 UTC (an hour later) would have an OAuthExpiresIn value of 3600, no matter what the current time is.

To determine how long the user has before the Access Token will expire, use OAuthTokenTimestamp.

OAuthTokenTimestamp

Displays a Unix epoch timestamp in milliseconds that shows how long ago the current Access Token was created.

Data Type

string

Default Value

""

Remarks

The OAuth Access Token is assigned to an authenticated user, granting that user access to the network for a specified period of time. The access token is used in place of the user's login ID and password, which stay on the server.

An access token created by the server is only valid for a limited time. OAuthTokenTimestamp is the Unix timestamp when the server created the token. For example, OAuthTokenTimestamp=1706558400 indicates the OAuthAccessToken was generated by the server at 2024-01-29 20:00:00 UTC.

JWT OAuth

This section provides a complete list of JWT OAuth properties you can configure.

OAuthJWTCert

Supplies the name of the client certificate's JWT Certificate store.

Data Type

string

Default Value

""

Remarks

The OAuthJWTCertType field specifies the type of the certificate store specified in OAuthJWTCert. If the store is password-protected, use OAuthJWTCertPassword to supply the password..

OAuthJWTCert is used in conjunction with the OAuthJWTCertSubject field in order to specify client certificates.

If OAuthJWTCert has a value, and OAuthJWTCertSubject is set, the Azure Cosmos DB connector initiates a search for a certificate. For further information, see OAuthJWTCertSubject.

Designations of certificate stores are platform-dependent.

Notes

• The most common User and Machine certificate stores in Windows include:

  • MY: A certificate store holding personal certificates with their

    associated private keys.

  • CA: Certifying authority certificates.

  • ROOT: Root certificates.

  • SPC: Software publisher certificates.

  • In Java, the certificate store normally is a file containing certificates and optional private keys.
  • When the certificate store type is PFXFile, this property must be set to the name of the file.
  • When the type is PFXBlob, the property must be set to the binary contents of a PFX file (i.e. PKCS12 certificate store).

OAuthJWTCertType

Identifies the type of key store containing the JWT Certificate.

Possible Values

USER, MACHINE, PFXFILE, PFXBLOB, JKSFILE, JKSBLOB, PEMKEY_FILE, PEMKEY_BLOB, PUBLIC_KEY_FILE, PUBLIC_KEY_BLOB, SSHPUBLIC_KEY_FILE, SSHPUBLIC_KEY_BLOB, P7BFILE, PPKFILE, XMLFILE, XMLBLOB, BCFKSFILE, BCFKSBLOB

Data Type

string

Default Value

USER

Remarks

OAuthJWTCertPassword

Provides the password for the OAuth JWT certificate used to access a password-protected certificate store. If the certificate store does not require a password, leave this property blank.

Data Type

string

Default Value

""

Remarks

This property specifies the password needed to open a password-protected certificate store. To determine if a password is necessary, refer to the documentation or configuration for your specific certificate store.

OAuthJWTCertSubject

Identifies the subject of the OAuth JWT certificate used to locate a matching certificate in the store. Supports partial matches and the wildcard '*' to select the first certificate.

Data Type

string

Default Value

*

Remarks

The value of this property is used to locate a matching certificate in the store. The search process works as follows:

• If an exact match for the subject is found, the corresponding certificate is selected.
• If no exact match is found, the store is searched for certificates whose subjects contain the property value.
• If no match is found, no certificate is selected.

You can set the value to '*' to automatically select the first certificate in the store. The certificate subject is a comma-separated list of distinguished name fields and values. For example: CN=www.server.com, OU=test, C=US, E=example@jbexample.com. Common fields include:

If a field value contains a comma, enclose it in quotes. For example: "O=ACME, Inc.".

SSL

This section provides a complete list of SSL properties you can configure.

SSLClientCert

Specifies the TLS/SSL client certificate store for SSL Client Authentication (2-way SSL). This property works in conjunction with other SSL-related properties to establish a secure connection.

Data Type

string

Default Value

""

Remarks

This property specifies the client certificate store for SSL Client Authentication. Use this property alongside SSLClientCertType, which defines the type of the certificate store, and SSLClientCertPassword, which specifies the password for password-protected stores. When SSLClientCert is set and SSLClientCertSubject is configured, the driver searches for a certificate matching the specified subject.

Certificate store designations vary by platform. On Windows, certificate stores are identified by names such as MY (personal certificates), while in Java, the certificate store is typically a file containing certificates and optional private keys.

The following are designations of the most common User and Machine certificate stores in Windows:

For PFXFile types, set this property to the filename. For PFXBlob types, set this property to the binary contents of the file in PKCS12 format.

SSLClientCertType

Specifies the type of key store containing the TLS/SSL client certificate for SSL Client Authentication. Choose from a variety of key store formats depending on your platform and certificate source.

Possible Values

USER, MACHINE, PFXFILE, PFXBLOB, JKSFILE, JKSBLOB, PEMKEY_FILE, PEMKEY_BLOB, PUBLIC_KEY_FILE, PUBLIC_KEY_BLOB, SSHPUBLIC_KEY_FILE, SSHPUBLIC_KEY_BLOB, P7BFILE, PPKFILE, XMLFILE, XMLBLOB, BCFKSFILE, BCFKSBLOB

Data Type

string

Default Value

USER

Remarks

This property determines the format and location of the key store used to provide the client certificate. Supported values include platform-specific and universal key store formats. The available values and their usage are:

SSLClientCertPassword

Specifes the password required to access the TLS/SSL client certificate store. Use this property if the selected certificate store type requires a password for access.

Data Type

string

Default Value

""

Remarks

This property provides the password needed to open a password-protected certificate store. This property is necessary when using certificate stores that require a password for decryption, as is often recommended for PFX or JKS type stores.

If the certificate store type does not require a password, for example USER or MACHINE on Windows, this property can be left blank. Ensure that the password matches the one associated with the specified certificate store to avoid authentication errors.

SSLClientCertSubject

Specifes the subject of the TLS/SSL client certificate to locate it in the certificate store. Use a comma-separated list of distinguished name fields, such as CN=www.server.com, C=US. The wildcard * selects the first certificate in the store.

Data Type

string

Default Value

*

Remarks

This property determines which client certificate to load based on its subject. The connector searches for a certificate that exactly matches the specified subject. If no exact match is found, the connector looks for certificates containing the value of the subject. If no match is found, no certificate is selected.

The subject should follow the standard format of a comma-separated list of distinguished name fields and values. For example, CN=www.server.com, OU=Test, C=US. Common fields include the following:

SSLServerCert

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

Data Type

string

Default Value

""

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.

Certificates are validated as trusted by the machine based on the System's trust store. The trust store used is the 'javax.net.ssl.trustStore' value specified for the system. If no value is specified for this property, Java's default trust store is used (for example, JAVA_HOME\lib\security\cacerts).

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

Schema

This section provides a complete list of schema properties you can configure.

Location

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.

Data Type

string

Default Value

%APPDATA%\CosmosDB Data Provider\Schema

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%\CosmosDB Data Provider\Schema, where %APPDATA% is set to the user's configuration directory:

BrowsableSchemas

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

Data Type

string

Default Value

""

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.

Tables

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

Data Type

string

Default Value

""

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`.

Views

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

Data Type

string

Default Value

""

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`.

Schema

Specify the Azure Cosmos DB database you want to work with.

Data Type

string

Default Value

""

Remarks

Specify the Azure Cosmos DB database you want to work with.

Miscellaneous

This section provides a complete list of miscellaneous properties you can configure.

CalculateAggregates

Specifies whether will return the calculated value of the aggregates or grouped by partiton range.

Data Type

bool

Default Value

true

Remarks

Specifies whether will return the calculated value of the aggregates or grouped by partiton range.

ConsistencyLevel

Denotes the type of token: master or resource.

Possible Values

STRONG, BOUNDED, SESSION, CONSISTENTPREFIX, EVENTUAL

Data Type

string

Default Value

SESSION

Remarks

The consistency level override for read options against documents and attachments. The valid values are: Strong, Bounded, Session, or Eventual (in order of strongest to weakest). The override must be the same or weaker than the account's configured consistency level.

The consistency level override for read options against documents and attachments. The valid values are: Strong, Bounded, Session, or Eventual (in order of strongest to weakest). The override must be the same or weaker than the account's configured consistency level.

FlattenArrays

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.

Data Type

string

Default Value

0

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"]

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

Setting FlattenArrays to -1 will flatten all the elements of nested arrays.

FlattenObjects

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

Data Type

bool

Default Value

true

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 a dot 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 }
]

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

ForceQueryOnNonIndexedContainers

Force the use of an index scan to process the query if indexing is disabled or the right index path is not available.

Data Type

bool

Default Value

false

Remarks

Queries against containers where indexing is disabled or paths are excluded may fail. Set this property to true to force the use of indexing on the server so the query is processed successfully. By default, queries that require the use of indexing on containers where IndexingMode=None are handled client-side.

GenerateSchemaFiles

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

Possible Values

Never, OnUse, OnStart, OnCreate

Data Type

string

Default Value

Never

Remarks

GenerateSchemaFiles enables you to save the table definitions identified by Automatic Schema Discovery. 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.

Note that if you want to regenerate a file, you will first need to delete it.

Generate Schemas with SQL

When you set GenerateSchemaFiles to OnUse, the connector 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.

Alternatives to Static Schemas

If your data structures are volatile, consider setting GenerateSchemaFiles to Never and using dynamic schemas. See Automatic Schema Discovery for more information about dynamic schemas.

Editing Schemas

Schema files have a simple format that makes them easy to modify. See Custom Schema Definitions for more information.

MaxRows

Specifies the maximum rows returned for queries without aggregation or GROUP BY.

Data Type

int

Default Value

-1

Remarks

This property sets an upper limit on the number of rows the connector returns for queries that do not include aggregation or GROUP BY clauses. This limit ensures that queries do not return excessively large result sets by default.

When a query includes a LIMIT clause, the value specified in the query takes precedence over the MaxRows setting. If MaxRows is set to "-1", no row limit is enforced unless a LIMIT clause is explicitly included in the query.

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

MaxThreads

Specifies the maximum number of concurrent requests for Batch CUD (Create, Update, Delete) operations.

Data Type

int

Default Value

200

Remarks

This property should be used in conjunction with the WriteThroughputBudget connection property. The connector may execute less parallel requests than the configured MaxThreads value, since it always aims to not exceed the WriteThroughputBudget limit. The number of concurrent requests will also depend on the running machine's resources.

MultiThreadCount

Aggregate queries in partitioned collections will require parallel requests for different partition ranges. Set this to the number of parallel request to be issued in the same time.

Data Type

string

Default Value

5

Remarks

Aggregate queries in partitioned collections will require parallel requests for different partition ranges. Set this to the number of parallel request to be issued in the same time.

Other

Specifies additional hidden properties for specific use cases. These are not required for typical provider functionality. Use a semicolon-separated list to define multiple properties.

Data Type

string

Default Value

""

Remarks

This property allows advanced users to configure hidden properties for specialized scenarios. These settings are not required for normal use cases but can address unique requirements or provide additional functionality. Multiple properties can be defined in a semicolon-separated list.

Specify multiple properties in a semicolon-separated list.

Integration and Formatting

Pagesize

The maximum number of records per page the provider returns when requesting data from Azure Cosmos DB.

Data Type

int

Default Value

1000

Remarks

When processing a query, instead of requesting all of the queried data at once from Azure Cosmos DB, the connector can request the queried data in pieces called pages.

This connection property determines the maximum number of results that the connector requests per page.

Note that setting large page sizes may improve overall query execution time, but doing so causes the connector to use more memory when executing queries and risks triggering a timeout.

PseudoColumns

Specifies the pseudocolumns to expose as table columns. Use the format 'TableName=ColumnName;TableName=ColumnName'. The default is an empty string, which disables this property.

Data Type

string

Default Value

""

Remarks

This property allows you to define which pseudocolumns the connector 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: "*=*"

RequestPriorityLevel

Specifies the priority level for requests sent to Azure Cosmos DB when the number of requests exceeds the configured RU/s within a second.

Possible Values

None, Low, High

Data Type

string

Default Value

None

Remarks

• None: Sends requests with the default priority.
• Low: Sends requests with low priority.
• High: Sends requests with high priority.

RowScanDepth

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

Data Type

int

Default Value

100

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.

SeparatorCharacter

The character or characters used to denote hierarchy.

Data Type

string

Default Value

.

Remarks

In order to flatten out hierarchical structures, the connector needs some specifier that states the path to a column through the hierarchy. 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.

SetPartitionKeyAsPK

Whether or not to use the collection's Partition Key field as part of composite Primary Key for the corresponding exposed table.

Data Type

bool

Default Value

true

Remarks

By default, this is set to TRUE, and the collection's Partition Key is used as part of the table's composite Primary Key along with the _rid column. If this is set to FALSE, only the _rid column will serve as the Primary Key for the exposed table.

Timeout

Specifies the maximum time, in seconds, that the provider waits for a server response before throwing a timeout error. The default is 60 seconds. Set to 0 to disable the timeout.

Data Type

int

Default Value

60

Remarks

This property controls the maximum time, in seconds, that the connector waits for an operation to complete before canceling it. If the timeout period expires before the operation finishes, the connector cancels the operation and throws an exception.

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 the timeout value if each paging call completes within the timeout limit.

Setting this property to 0 disables the timeout, allowing 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. Use this property cautiously to avoid long-running operations that could degrade performance or result in unresponsive behavior.

TypeDetectionScheme

Comma-separated options for how the provider will scan the data to determine the fields and datatypes in each document collection.

Data Type

string

Default Value

RowScan,Recent

Remarks

UserDefinedViews

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

Data Type

string

Default Value

""

Remarks

This property allows you to define and manage custom views through a JSON-formatted configuration file called UserDefinedViews.json. These views are automatically recognized by the connector 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 [].[Entities].Customers WHERE MyColumn = 'value'"
    },
    "MyView2": {
        "query": "SELECT * FROM MyTable WHERE Id IN (1,2,3)"
    }

}

You can define multiple views in a single file and specify the filepath using this property. For example: UserDefinedViews=C:\Path\To\UserDefinedViews.json. When you use this property, only the specified views are seen by the connector.

UseRidAsPk

Set this property to false to switch using the ID column as primary key instead the default _rid.

Data Type

bool

Default Value

true

Remarks

Since CosmosDB allows you to use both _rid and ID fields as unique values for retrieving resource data, you can set this property to false to switch using the ID column as primary key instead the default _rid.

WriteThroughputBudget

Defines the Requests Units (RU) budget per Second that the Batch CUD (Create, Update, Delete) operations should not exceed.

Data Type

int

Default Value

1000

Remarks

The connector will dynamically adjust the maximum number of requests per second depending on the configured RU budget. Although the connector always aims to not exceed the RU budget, since the requests throttling logic is applied client-side, it may be exceeded by a relatively small amount in a few cases. These cases include inserting, updating and deleting records with highly variable column count and input value length per column.