

# Confluence
<a name="data-source-confluence"></a>

Confluence is a collaborative work-management tool designed for sharing, storing, and working on project planning, software development, and product management. Amazon Kendra supports both Confluence Server/Data Center and Confluence Cloud. You can use Amazon Kendra to index the following Confluence entities:
+ **Spaces** – Top-level designated areas for organizing related content. Each space serves as a container, capable of holding multiple pages, blogs, and attachments.
+ **Pages** – Individual documents within a space where users create and manage content. Pages can contain text, images, tables, and multimedia elements, and can have nested sub-pages. Each page is considered a single document.
+ **Blogs** – Content similar to pages, typically used for updates or announcements. Each blog post is considered as a single document.
+ **Comments** – Allows users to give feedback or engage in discussions on specific content within pages or blog posts.
+ **Attachments** – Files uploaded to pages or blog posts in Confluence, such as images, documents, or other file types.

By default, Amazon Kendra doesn't index Confluence archives and personal spaces. You can choose to index them when you create the data source. If you don't want Amazon Kendra to index a space, mark it private in Confluence.

You can connect Amazon Kendra to your Confluence data source using either the [Amazon Kendra console](https://console.aws.amazon.com/kendra/), the [TemplateConfiguration](https://docs.aws.amazon.com/kendra/latest/APIReference/API_TemplateConfiguration.html) API, or the [ConfluenceConfiguration](https://docs.aws.amazon.com/kendra/latest/APIReference/API_ConfluenceConfiguration.html) API.

Amazon Kendra has two versions of the Confluence connector. The following features are supported.

****Confluence connector V2.0 / [TemplateConfiguration](https://docs.aws.amazon.com/kendra/latest/APIReference/API_TemplateConfiguration.html) API****
+ Field mappings
+ User access control
+ Inclusion/exclusion patterns
+ Full and incremental content syncs
+ Virtual private cloud (VPC)

****Confluence connector V1.0 / [ConfluenceConfiguration](https://docs.aws.amazon.com/kendra/latest/APIReference/API_ConfluenceConfiguration.html) API** (no longer supported)**
+ Field mappings
+ User access control
+ Inclusion/exclusion filters
+ (Confluence Server only) Virtual private cloud (VPC)

**Note**  
Confluence connector V1.0 / ConfluenceConfiguration API ended in 2023. We recommend migrating to or using Confluence connector V2.0 / TemplateConfiguration API.

For troubleshooting your Amazon Kendra Confluence data source connector, see [Troubleshooting data sources](troubleshooting-data-sources.md).

**Topics**
+ [ACLs in Confluence Connector](#data-source-confluence-acls)
+ [Confluence connector V2.0](data-source-v2-confluence.md)
+ [Confluence connector V1.0](data-source-v1-confluence.md)

## ACLs in Confluence Connector
<a name="data-source-confluence-acls"></a>

Connectors support crawling Access Control Lists (ACLs) and identifying information where applicable based on the data source. If you index documents without ACLs, all documents are considered public. Indexing documents with ACLs ensures data security.

The Amazon Kendra Confluence connector scans spaces to collect pages and blog posts along with their ACLs. If there is no restriction applied on a page or blog, the connector inherits permissions from its space. If specific user or group restriction is applied on a page, only those users will be able to access that page. If page is nested, the nested page inherits the permissions of parent page if no restrictions are applied. A similar permissions model applies to blogs; however, Confluence does not support nested blogs.

In addition, Amazon Kendra Confluence connector crawls user principal information (local user alias, local group and federated group identity configurations) and its permissions for each configured space. 

**Note**  
The Confluence Cloud connector does not support crawling macros, whiteboards, or databases. 

The Amazon Kendra Confluence connector updates ACL changes each time it crawls your data source content. To ensure the correct users have access to the correct content, regularly re-sync your data source to capture any ACL updates.

# Confluence connector V2.0
<a name="data-source-v2-confluence"></a>

Confluence is a collaborative work-management tool designed for sharing, storing, and working on project planning, software development, and product management. You can use Amazon Kendra to index your Confluence spaces, pages (including nested pages), blogs, and comments and attachments to indexed pages and blogs.

For troubleshooting your Amazon Kendra Confluence data source connector, see [Troubleshooting data sources](troubleshooting-data-sources.md).

**Topics**
+ [Supported features](#supported-features-v2-confluence)
+ [Prerequisites](#prerequisites-v2-confluence)
+ [Connection instructions](#data-source-procedure-v2-confluence)

## Supported features
<a name="supported-features-v2-confluence"></a>

Amazon Kendra Confluence data source connector supports the following features:
+ Field mappings
+ User access control
+ Inclusion/exclusion patterns
+ Full and incremental content syncs
+ Virtual private cloud (VPC)

## Prerequisites
<a name="prerequisites-v2-confluence"></a>

Before you can use Amazon Kendra to index your Confluence data source, make these changes in your Confluence and AWS accounts.

**In Confluence, make sure you have:**
+ Copied your Confluence instance URL. For example: *https://example.confluence.com*, or *https://www.example.confluence.com/*, or *https:// atlassian.net/*. You need your Confluence instance URL to connect to Amazon Kendra.

  If you're using Confluence Cloud, your host URL must end with *atlassian.net/*.
**Note**  
The following URL formats are **not** supported:  
*https://example.confluence.com/xyz*
*https://www.example.confluence.com//wiki/spacekey/xxx*
*https://atlassian.net/xyz*
**Note**  
(On-premise/server) Amazon Kendra checks if the endpoint information included in AWS Secrets Manager is the same the endpoint information specified in your data source configuration details. This helps protect against the [confused deputy problem](https://docs.aws.amazon.com/IAM/latest/UserGuide/confused-deputy.html), which is a security issue where a user doesn’t have permission to perform an action but uses Amazon Kendra as a proxy to access the configured secret and perform the action. If you later change your endpoint information, you must create a new secret to sync this information.
+ Configured basic authentication credentials containing a user name (email ID used to log into Confluence) and password (Confluence API token as the password). See [Manage API tokens for your Atlassian account](https://support.atlassian.com/atlassian-account/docs/manage-api-tokens-for-your-atlassian-account/#Create-an-API-token).
**Note**  
We recommend that you regularly refresh or rotate your credentials and secret. Provide only the necessary access level for your own security. We do **not** recommend that you re-use credentials and secrets across data sources, and connector versions 1.0 and 2.0 (where applicable).
+ **Optional:** Configured OAuth 2.0 credentials containing a Confluence app key, Confluence app secret, Confluence access token, and Confluence refresh token to allow Amazon Kendra to connect to your Confluence instance. If your access token expires, you can either use the refresh token to regenerate your access token and refresh token pair. Or, you can repeat the authorization process. For more information on access tokens, see [Manage OAuth access tokens](https://support.atlassian.com/confluence-cloud/docs/manage-oauth-access-tokens/).
+ (For Confluence Server/Data Center only) **Optional:** Configured a Personal Access Token (PAT) in Confluence. See [Using Personal Access Tokens](https://confluence.atlassian.com/enterprise/using-personal-access-tokens-1026032365.html).

**In your AWS account, make sure you have:**
+ [Created an Amazon Kendra index](https://docs.aws.amazon.com/kendra/latest/dg/create-index.html) and, if using the API, noted the index ID.
+ [Created an IAM role](https://docs.aws.amazon.com/kendra/latest/dg/iam-roles.html#iam-roles-ds) for your data source and, if using the API, noted the ARN of the IAM role.
**Note**  
If you change your authentication type and credentials, you must update your IAM role to access the correct AWS Secrets Manager secret ID.
+ Stored your Confluence authentication credentials in an AWS Secrets Manager secret and, if using the API, noted the ARN of the secret.
**Note**  
We recommend that you regularly refresh or rotate your credentials and secret. Provide only the necessary access level for your own security. We do **not** recommend that you re-use credentials and secrets across data sources, and connector versions 1.0 and 2.0 (where applicable).

If you don’t have an existing IAM role or secret, you can use the console to create a new IAM role and Secrets Manager secret when you connect your Confluence data source to Amazon Kendra. If you are using the API, you must provide the ARN of an existing IAM role and Secrets Manager secret, and an index ID.

## Connection instructions
<a name="data-source-procedure-v2-confluence"></a>

To connect Amazon Kendra to your Confluence data source, you must provide the necessary details of your Confluence data source so that Amazon Kendra can access your data. If you have not yet configured Confluence for Amazon Kendra see [Prerequisites](#prerequisites-v2-confluence).

------
#### [ Console ]

**To connect Amazon Kendra to Confluence** 

1. Sign in to the AWS Management Console and open the [Amazon Kendra console](https://console.aws.amazon.com/kendra/).

1. From the left navigation pane, choose **Indexes** and then choose the index you want to use from the list of indexes.
**Note**  
You can choose to configure or edit your **User access control** settings under **Index settings**. 

1. On the **Getting started** page, choose **Add data source**.

1. On the **Add data source** page, choose **Confluence connector**, and then choose **Add connector**. If using version 2 (if applicable), choose **Confluence connector** with the "V2.0" tag.

1. On the **Specify data source details** page, enter the following information:

   1. In **Name and description**, for **Data source name**—Enter a name for your data source. You can include hyphens but not spaces.

   1. (Optional)** Description**—Enter an optional description for your data source.

   1. In **Default language**—Choose a language to filter your documents for the index. Unless you specify otherwise, the language defaults to English. Language specified in the document metadata overrides the selected language.

   1. In **Tags**, for **Add new tag**—Include optional tags to search and filter your resources or track your AWS costs.

   1. Choose **Next**.

1. On the **Define access and security** page, enter the following information:

   1. In **Source**, choose either **Confluence Cloud** or **Confluence Server/Data Center**.

   1. **Confluence URL**—Enter the Confluence host URL. For example, *https://example.confluence.com*.

   1. (For Confluence Server/Data Center only) **SSL certificate location - *optional***—Enter the Amazon S3 path to your SSL certificate file for Confluence Server.

   1. (For Confluence Server/Data Center only) **Web proxy - *optional***—Enter the web proxy host name (without the `http://` or `https://` protocol) and port number (port used by the host URL transport protocol). The port number should be a numeric value between 0 and 65535.

   1. **Authorization**—Turn on or off access control list (ACL) information for your documents, if you have an ACL and want to use it for access control. The ACL specifies which documents that users and groups can access. The ACL information is used to filter search results based on the user or their group access to documents. For more information, see [User context filtering](https://docs.aws.amazon.com/kendra/latest/dg/user-context-filter.html#context-filter-user-incl-datasources).

   1. **Authentication**—Choose either **Basic authentication**, **Oauth 2.0 authentication**, or (For Confluence Server/Data Center only) **Personal Access Token authentication**.

   1. **AWS Secrets Manager secret**—Choose an existing secret or create a new Secrets Manager secret to store your Confluence authentication credentials. If you choose to create a new secret an AWS Secrets Manager secret window opens. Enter the following information in the window:

      1. **Secret name**—A name for your secret. The prefix ‘AmazonKendra-Confluence-’ is automatically added to your secret name.

      1. If using **Basic Authentication**—Enter the secret name, user name, and password (Confluence API token as the password) you configured in Confluence.

         If using **OAuth2.0 Authentication**—Enter the secret name, app key, app secret, access token, and refresh token you configured in Confluence.

         (Confluence Server/Data Center only) If using **Personal Access Token authentication**—Enter the secret name and Confluence token you configured in your Confluence.

      1. Save and add your secret.

   1. **Virtual Private Cloud (VPC)**—You can choose to use a VPC. If so, you must add **Subnets** and **VPC security groups**.

   1. **Identity crawler**—Specify whether to turn on Amazon Kendra’s identity crawler. The identity crawler uses the access control list (ACL) information for your documents to filter search results based on the user or their group access to documents. If you have an ACL for your documents and choose to use your ACL, you can then also choose to turn on Amazon Kendra’s identity crawler to configure [user context filtering](https://docs.aws.amazon.com/kendra/latest/dg/user-context-filter.html#context-filter-user-incl-datasources) of search results. Otherwise, if identity crawler is turned off, all documents can be publicly searched. If you want to use access control for your documents and identity crawler is turned off, you can alternatively use the [PutPrincipalMapping](https://docs.aws.amazon.com/kendra/latest/APIReference/API_PutPrincipalMapping.html) API to upload user and group access information for user context filtering.

   1. **IAM role**—Choose an existing IAM role or create a new IAM role to access your repository credentials and index content.
**Note**  
IAM roles used for indexes cannot be used for data sources. If you are unsure if an existing role is used for an index or FAQ, choose **Create a new role** to avoid errors.

   1. Choose **Next**.

1. On the **Configure sync settings** page, enter the following information:

   1. In **Sync scope**, for **Sync contents**—Choose to sync from the following content types: Pages, page comments, page attachments, blogs, blog comments, blog attachments, personal spaces, and archived spaces.
**Note**  
Page comments and page attachments can only be seleted if you choose to sync **Pages**. Blog comments and blog attachments can only be seleted if you choose to sync **Blogs**.
**Important**  
If you don't specify a space key regex pattern in **Additional configuration**, all pages and blogs will be crawled by default.

   1. In **Additional configuration**, for **Maximum file size**—Specify the file size limit in MBs that Amazon Kendra will crawl. Amazon Kendra will crawl only the files within the size limit you define. The default file size is 50 MB. The maximum file size should be greater than 0 MB and less than or equal to 50 MB.

      For **Spaces regex patterns**—Specify whether to include or exclude specific spaces in your index using:
      + Space key (for example, *my-space-123*)
**Note**  
If you don't specify a space key regex pattern, all pages and blogs will be crawled by default.
      + URL (for example, *.\$1/MySite/MyDocuments/*)
      + File type (for example, *.\$1\$1.pdf, .\$1\$1.txt*)

      For **Entity title regex patterns**—Specify regular expression patterns to include or exclude certain blogs, pages, comments, and attachments by titles.
**Note**  
If you want to include or exclude crawling a specific page or subpage, you can use page title regex patterns.

   1. **Sync mode**—Choose how you want to update your index when your data source content changes. When you sync your data source with Amazon Kendra for the first time, all content is crawled and indexed by default. You must run a full sync of your data if your initial sync failed, even if you don't choose full sync as your sync mode option.
      + Full sync: Freshly index all content, replacing existing content each time your data source syncs with your index.
      + New, modified, deleted sync: Index only new, modified, and deleted content each time your data source syncs with your index. Amazon Kendra can use your data source's mechanism for tracking content changes and index content that changed since the last sync.

   1. In **Sync run schedule**, for **Frequency**—Choose how often to sync your data source content and update your index.

   1. Choose **Next**.

1. On the **Set field mappings** page, enter the following information:

   1. Select from the Amazon Kendra generated default data source fields you want to map to your index. To add custom data source fields, create an index field name to map to and the field data type.

   1. Choose **Next**.

1. On the **Review and create** page, check that the information you have entered is correct and then select **Add data source**. You can also choose to edit your information from this page. Your data source will appear on the **Data sources** page after the data source has been added successfully.

------
#### [ API ]

**To connect Amazon Kendra to Confluence**

You must specify a JSON of the [data source schema](https://docs.aws.amazon.com/kendra/latest/dg/ds-schemas.html#ds-confluence-schema) using the [TemplateConfiguration](https://docs.aws.amazon.com/kendra/latest/dg/API_TemplateConfiguration.html) API. You must provide the following information:
+ **Data source**—Specify the data source type as `CONFLUENCEV2` when you use the [https://docs.aws.amazon.com/kendra/latest/dg/API_TemplateConfiguration.html](https://docs.aws.amazon.com/kendra/latest/dg/API_TemplateConfiguration.html) JSON schema. Also specify the data source as `TEMPLATE` when you call the [https://docs.aws.amazon.com/kendra/latest/dg/API_CreateDataSource.html](https://docs.aws.amazon.com/kendra/latest/dg/API_CreateDataSource.html) API.
+ **Host URL**—Specify the Confluence host URL instance. For example, *https://example.confluence.com*.
+ **Sync mode**—Specify how Amazon Kendra should update your index when your data source content changes. When you sync your data source with Amazon Kendra for the first time, all content is crawled and indexed by default. You must run a full sync of your data if your initial sync failed, even if you don't choose full sync as your sync mode option. You can choose between:
  + `FORCED_FULL_CRAWL` to freshly index all content, replacing existing content each time your data source syncs with your index.
  + `FULL_CRAWL` to index only new, modified, and deleted content each time your data source syncs with your index. Amazon Kendra can use your data source’s mechanism for tracking content changes and index content that changed since the last sync.
+ **Authentication type**—Specify the type of authentication, whether `Basic`, `OAuth2`, (Confluence Server only) `Personal-token`.
+ (Optional–For Confluence Server only) **SSL certificate location**—Specificy the `S3bucketName` and `s3certificateName` you used to store your SSL certificate.
+ **Secret Amazon Resource Name (ARN)**—Provide the Amazon Resource Name (ARN) of a Secrets Manager secret that contains the authentication credentials you configured in Confluence. If you use basic authentication, the secret is stored in a JSON structure with the following keys: 

  ```
  {
      "username": "email ID or user name",
      "password": "Confluence API token"
  }
  ```

  If you use OAuth 2.0 authentication, the secret is stored in a JSON structure with the following keys:

  ```
  {
      "confluenceAppKey": "app key",
      "confluenceAppSecret": "app secret",
      "confluenceAccessToken": "access token",
      "confluenceRefreshToken": "refresh token"
  }
  ```

  (For Confluence Server only) If you use basic authentication, the secret is stored in a JSON structure with the following keys:

  ```
  {
      "hostUrl": "Confluence Server host URL",
      "username": "Confluence Server user name",
      "password": "Confluence Server password"
  }
  ```

  (For Confluence Server only) If you use Personal Access Token authentication, the secret is stored in a JSON structure with the following keys:

  ```
  {
      "hostUrl": "Confluence Server host URL",
      "patToken": "personal access token"
  }
  ```
+ **IAM role**—Specify `RoleArn` when you call `CreateDataSource` to provide an IAM role with permissions to access your Secrets Manager secret and to call the required public APIs for the Confluence connector and Amazon Kendra. For more information, see [IAM roles for Confluence data sources](https://docs.aws.amazon.com/kendra/latest/dg/iam-roles.html#iam-roles-ds).

You can also add the following optional features:
+  **Virtual Private Cloud (VPC)**—Specify `VpcConfiguration` when you call `CreateDataSource`. For more information, see [Configuring Amazon Kendra to use an Amazon VPC](vpc-configuration.md).
+  **File size**—Specify the maximun file size to crawl.
+  **Document/content types**—Specify whether to crawl pages, page comments, page attachments, blogs, blog comments, blog attachments, spaces and archived spaces.
+ **Inclusion and exclusion filters**—Specify whether to include or exclude certain spaces, pages, blogs, and their comments and attachments.
**Note**  
Most data sources use regular expression patterns, which are inclusion or exclusion patterns referred to as filters. If you specify an inclusion filter, only content that matches the inclusion filter is indexed. Any document that doesn’t match the inclusion filter isn’t indexed. If you specify an inclusion and exclusion filter, documents that match the exclusion filter are not indexed, even if they match the inclusion filter.
+ **Web proxy**—Specify your web proxy information if you want to connect to your Confluence URL instance via a web proxy. You can use this option for Confluence Server.
+ **Access control list (ACL)**—Specify whether to crawl ACL information for your documents, if you have an ACL and want to use it for access control. The ACL specifies which documents that users and groups can access. The ACL information is used to filter search results based on the user or their group access to documents. For more information, see [User context filtering](https://docs.aws.amazon.com/kendra/latest/dg/user-context-filter.html#context-filter-user-incl-datasources).
+ **Identity crawler**—Specify whether to turn on Amazon Kendra’s identity crawler. The identity crawler uses the access control list (ACL) information for your documents to filter search results based on the user or their group access to documents. If you have an ACL for your documents and choose to use your ACL, you can then also choose to turn on Amazon Kendra’s identity crawler to configure [user context filtering](https://docs.aws.amazon.com/kendra/latest/dg/user-context-filter.html#context-filter-user-incl-datasources) of search results. Otherwise, if identity crawler is turned off, all documents can be publicly searched. If you want to use access control for your documents and identity crawler is turned off, you can alternatively use the [PutPrincipalMapping](https://docs.aws.amazon.com/kendra/latest/APIReference/API_PutPrincipalMapping.html) API to upload user and group access information for user context filtering.
+  **Field mappings**—Choose to map your Confluence data source fields to your Amazon Kendra index fields. For more information, see [Mapping data source fields](https://docs.aws.amazon.com/kendra/latest/dg/field-mapping.html).
**Note**  
The document body field or the document body equivalent for your documents is required in order for Amazon Kendra to search your documents. You must map your document body field name in your data source to the index field name `_document_body`. All other fields are optional.

For a list of other important JSON keys to configure, see [Confluence template schema](https://docs.aws.amazon.com/kendra/latest/dg/ds-schemas.html#ds-confluence-schema).

------

### Notes
<a name="confluence-notes"></a>
+ Personal Access Token (PAT) is not available for Confluence Cloud.

# Confluence connector V1.0
<a name="data-source-v1-confluence"></a>

Confluence is a collaborative work-management tool designed for sharing, storing, and working on project planning, software development, and product management. You can use Amazon Kendra to index your Confluence spaces, pages (including nested pages), blogs, and comments and attachments to indexed pages and blogs.

**Note**  
Confluence connector V1.0 / ConfluenceConfiguration API ended in 2023. We recommend migrating to or using Confluence connector V2.0 / TemplateConfiguration API.

For troubleshooting your Amazon Kendra Confluence data source connector, see [Troubleshooting data sources](troubleshooting-data-sources.md).

**Topics**
+ [Supported features](#supported-features-v1-confluence)
+ [Prerequisites](#prerequisites-v1-confluence)
+ [Connection instructions](#data-source-procedure-v1-confluence)
+ [Learn more](#confluence-v1-learn-more)

## Supported features
<a name="supported-features-v1-confluence"></a>

Amazon Kendra Confluence data source connector supports the following features:
+ Field mappings
+ User access control
+ Inclusion/exclusion filters
+ (For Confluence Server only) Virtual private cloud (VPC)

## Prerequisites
<a name="prerequisites-v1-confluence"></a>

Before you can use Amazon Kendra to index your Confluence data source, make these changes in your Confluence and AWS accounts.

**In Confluence, make sure you have:**
+ Granted Amazon Kendra permissions to view all content within your Confluence instance by:
  + Making Amazon Kendra a member of `confluence-administrators` group.
  + Granting site-admin permissions for all existing spaces, blogs, and pages.
+ Copied the URL of your Confluence instance.
+ **For SSO (Single Sign-On) users:** Activated the **Show on login page** for the user name and password when you configure Confluence **Authentication methods** in Confluence Data Center.
+ **For Confluence Server**
  + Noted your basic authentication credentials containing your Confluence administrative account user name and password to connect to Amazon Kendra.
**Note**  
We recommend that you regularly refresh or rotate your credentials and secret. Provide only the necessary access level for your own security. We do **not** recommend that you re-use credentials and secrets across data sources, and connector versions 1.0 and 2.0 (where applicable).
  + **Optional:**Generated a personal access token in your Confluence account to connect to Amazon Kendra. For more information, see [Confluence documentation on generating personal access tokens](https://confluence.atlassian.com/enterprise/using-personal-access-tokens-1026032365.html).
+ **For Confluence Cloud**
  + Noted your basic authentication credentials containing your Confluence administrative account user name and password to connect to Amazon Kendra.
+ Checked each document is unique in Confluence and across other data sources you plan to use for the same index. Each data source that you want to use for an index must not contain the same document across the data sources. Document IDs are global to an index and must be unique per index.

**In your AWS account, make sure you have:**
+ [Created an Amazon Kendra index](https://docs.aws.amazon.com/kendra/latest/dg/create-index.html) and, if using the API, noted the index ID.
+ [Created an IAM role](https://docs.aws.amazon.com/kendra/latest/dg/iam-roles.html#iam-roles-ds) for your data source and, if using the API, noted the ARN of the IAM role.
**Note**  
If you change your authentication type and credentials, you must update your IAM role to access the correct AWS Secrets Manager secret ID.
+ Stored your Confluence authentication credentials in an AWS Secrets Manager secret and, if using the API, noted the ARN of the secret.
**Note**  
We recommend that you regularly refresh or rotate your credentials and secret. Provide only the necessary access level for your own security. We do **not** recommend that you re-use credentials and secrets across data sources, and connector versions 1.0 and 2.0 (where applicable).

If you don’t have an existing IAM role or secret, you can use the console to create a new IAM role and Secrets Manager secret when you connect your Confluence data source to Amazon Kendra. If you are using the API, you must provide the ARN of an existing IAM role and Secrets Manager secret, and an index ID.

## Connection instructions
<a name="data-source-procedure-v1-confluence"></a>

To connect Amazon Kendra to your Confluence data source, you must provide details of your Confluence credentials so that Amazon Kendra can access your data. If you have not yet configured Confluence for Amazon Kendra see [Prerequisites](#prerequisites-v1-confluence).

------
#### [ Console ]

**To connect Amazon Kendra to Confluence** 

1. Sign in to the AWS Management Console and open the [Amazon Kendra console](https://console.aws.amazon.com/kendra/).

1. From the left navigation pane, choose **Indexes** and then choose the index you want to use from the list of indexes.
**Note**  
You can choose to configure or edit your **User access control** settings under **Index settings**. 

1. On the **Getting started** page, choose **Add data source**.

1. On the **Add data source** page, choose **Confluence connector V1.0**, and then choose **Add data source**.

1. On the **Specify data source details** page, enter the following information:

   1. In **Name and description**, for **Data source name**—Enter a name for your data source. You can include hyphens but not spaces.

   1. (Optional)** Description**—Enter an optional description for your data source.

   1. In **Default language**—Choose a language to filter your documents for the index. Unless you specify otherwise, the language defaults to English. Language specified in the document metadata overrides the selected language.

   1. In **Tags**, for **Add new tag**—Include optional tags to search and filter your resources or track your AWS costs.

   1. Choose **Next**.

1. On the **Define access and security** page, enter the following information:

   1. Choose between **Confluence Cloud** and **Confluence Server**.

   1. If you choose **Confluence Cloud**, enter the following information:

      1. **Confluence URL**—Your Confluence URL.

      1. **AWS Secrets Manager secret**—Choose an existing secret or create a new Secrets Manager secret to store your Confluence authentication credentials. If you choose to create a new secret an AWS Secrets Manager secret window opens.

         1. Enter following information in the **Create an AWS Secrets Manager secret window**:

           1. **Secret name**—A name for your secret. The prefix ‘AmazonKendra-Confluence-’ is automatically added to your secret name.

           1. For **User name** and **Password**—Enter your Confluence user name and password.

           1. Choose **Save authentication**.

   1. If you choose **Confluence Server**, enter the following information:

      1. **Confluence URL**—Your Confluence user name and password.

      1. (Optional) For **Web proxy** enter the following information:

         1.  **Host name**—Host name for your Confluence account.

         1.  **Port number**—Port used by the host URL transport protocol.

      1. For **Authentication**, Choose either **Basic authentication** or (Confluence Server only) **Personal Access Token**.

      1. **AWS Secrets Manager secret**—Choose an existing secret or create a new Secrets Manager secret to store your Confluence authentication credentials. If you choose to create a new secret an AWS Secrets Manager secret window opens.

         1. Enter following information in the **Create an AWS Secrets Manager secret window**:

           1. **Secret name**—A name for your secret. The prefix ‘AmazonKendra-Confluence-’ is automatically added to your secret name.

           1. For **User name** and **Password**—Enter the authentication credential values you configured in Confluence. If using basic authentication, use your Confluence user name (email ID) and password (API token). If using personal access token, enter the details of the **Personal Access Token** you configured in Confluence account.

           1. Save and add your secret.

   1. **IAM role**—Choose an existing IAM role or create a new IAM role to access your repository credentials and index content.
**Note**  
IAM roles used for indexes cannot be used for data sources. If you are unsure if an existing role is used for an index or FAQ, choose **Create a new role** to avoid errors.

   1. Choose **Next**.

1. On the **Configure sync settings** page, enter the following information:

   1. For **Include personal spaces** and **Include archived spaces**—Choose the optional space types to include in this data source.

   1. For **Additional configuration**—Specify regular expression patterns to include or exclude certain content. You can add up to 100 patterns.

   1. You can also choose to **Crawl attachments within chosen spaces**.

   1. In **Sync run schedule**, for **Frequency**—Choose how often Amazon Kendra will sync with your data source.

   1. Choose **Next**.

1. On the **Set field mappings** page, enter the following information:

   1. For **Space**, **Page**, **Blog**—Select from the Amazon Kendra generated default data source fields or **Additional suggested field mappings** to add index fields.

   1.  **Add field**—To add custom data source fields to create an index field name to map to and the field data type.

   1. Choose **Next**.

1. On the **Review and create** page, check that the information you have entered is correct and then select **Add data source**. You can also choose to edit your information from this page. Your data source will appear on the **Data sources** page after the data source has been added successfully.

------
#### [ API ]

**To connect Amazon Kendra to Confluence**

You must specify the following using [ConfluenceConfiguration](https://docs.aws.amazon.com/kendra/latest/APIReference/API_ConfluenceConfiguration.html) API:
+ **Confluence version**—Specify the version of the Confluence instance you are using as `CLOUD` or `SERVER`.
+ **Secret Amazon Resource Name (ARN)**—Provide the Amazon Resource Name (ARN) of an Secrets Manager secret that contains your Confluence authentication credentials.

  If you use Confluence Server, you can use either your Confluence user name and password, or your personal access token as the authentication credentials.

  If you use your Confluence user name and password as authentication credentials, you store the following credentials as a JSON structure in your Secrets Manager secret:

  ```
  {
      "username": "user name",
      "password": "password"
  }
  ```

  If you use a personal access token to connect Confluence Server to Amazon Kendra, you store the following credentials as a JSON structure in your Secrets Manager secret:

  ```
  {
      "patToken": "personal access token"
  }
  ```

  If you use Confluence Cloud, you use your Confluence user name and an API token, configured in Confluence, as your password. You store the following credentials as a JSON structure in your Secrets Manager secret:

  ```
  {
      "username": "user name",
      "password": "API token"
  }
  ```
+ **IAM role**—Specify `RoleArn` when you call `CreateDataSource` to provide an IAM role with permissions to access your Secrets Manager secret and to call the required public APIs for the Confluence connector and Amazon Kendra. For more information, see [IAM roles for Confluence data sources](https://docs.aws.amazon.com/kendra/latest/dg/iam-roles.html#iam-roles-ds).

You can also add the following optional features:
+ **Web proxy**—Whether to connect to your Confluence URL instance via a web proxy. You can use this option for Confluence Server.
+ (For Confluence Server only) **Virtual Private Cloud (VPC)**—Specify `VpcConfiguration` as part of the data source configuration. See [Configuring Amazon Kendra to use a VPC](https://docs.aws.amazon.com/kendra/latest/dg/vpc-configuration.html).
+  **Inclusion and exclusion filters**—Specify regular expression patterns to include or exclude certain spaces, blog posts, pages, spaces, and attachments. If you choose to index attachments, only attachments to the indexed pages and blogs are indexed.
**Note**  
Most data sources use regular expression patterns, which are inclusion or exclusion patterns referred to as filters. If you specify an inclusion filter, only content that matches the inclusion filter is indexed. Any document that doesn’t match the inclusion filter isn’t indexed. If you specify an inclusion and exclusion filter, documents that match the exclusion filter are not indexed, even if they match the inclusion filter.
+  **Field mappings**—Choose to map your Confluence data source fields to your Amazon Kendra index fields. For more information, see [Mapping data source fields](https://docs.aws.amazon.com/kendra/latest/dg/field-mapping.html).
**Note**  
The document body field or the document body equivalent for your documents is required in order for Amazon Kendra to search your documents. You must map your document body field name in your data source to the index field name `_document_body`. All other fields are optional.
+  **User context filtering and access control**—Amazon Kendra crawls the access control list (ACL) for your documents, if you have an ACL for your documents. The ACL information is used to filter search results based on the user or their group access to documents. For more information, see [User context filtering](https://docs.aws.amazon.com/kendra/latest/dg/user-context-filter.html#datasource-context-filter).

------

## Learn more
<a name="confluence-v1-learn-more"></a>

To learn more about integrating Amazon Kendra with your Confluence data source, see:
+ [Configuring your Amazon Kendra Confluence Server connector ](https://aws.amazon.com/blogs/machine-learning/configuring-your-amazon-kendra-confluence-server-connector/)