Apache Spark extension filter to enable Oauth2/OpenID Connect based authentication for Spark UIs and Spark History.

The project consists of two main components:

1. Authentication filter: Authenticates the user against an Oauth2/OIDC provider by implementing the Authorization Code grant flow. The filter supports all the providers compliant with Oauth2 and OpenID standards.
2. Authorization provider: An additional optional layer, on top of the Authentication filter, authorizes Spark UI/History UI user access by comparing the user email and/or groups and/or roles returned by the Oauth2/OIDC provider during the authentication phase with the configured spark ACLs

Authorization Grant support matrix

Authorization Grant	Support	Description
Authorization Code	✔️	Confidential clients (server side apps/trusted environments) - Authorization Code standard flow.
Authorization Code + PKCE extension	✔️	Confidential clients (Server side apps/trusted environments) - Authorization Code flow with PKCE extension for Confidential clients. OAuth 2.1 requirement.
Authorization Code + PKCE extension	✔️	Public clients (SPAs/Native apps/Untrusted environments use cases) - Authorization Code flow with PKCE extension for Public clients

The following authorization grants are not suitable, hence not supported:

Authorization Grant	Support	Description
Implicit	NA	Deprecated (replaced by Authorization Code + PKCE extension for public clients).
Resource Owner Password Credentials	NA	Not suitable.
Client Credentials	NA	Not suitable.

Installation

The different releases are published to Maven Central Repository.

Please, check the latest release note and download the latest version from Maven Central Repository.

1. Using Docker

ADD https://repo1.maven.org/maven2/io/okdp/okdp-spark-auth-filter/1.2.2/okdp-spark-auth-filter-1.2.2.jar ${SPARK_HOME}/jars

2. Using Maven

<dependency>
  <groupId>io.okdp</groupId>
  <artifactId>okdp-spark-auth-filter</artifactId>
  <version>1.2.2</version>
</dependency>

3. Spark on Yarn/Standalone mode

Copy the jar https://repo1.maven.org/maven2/io/okdp/okdp-spark-auth-filter/1.2.2/okdp-spark-auth-filter-1.2.2.jar into ${SPARK_HOME}/jars/ in the different spark nodes

Configuration

Create an Oauth2/OIDC client

Create an Oauth2/OIDC client with an Authorization Code grant flow (confidential client).

Set the redirect URL to a valid spark UI or Spark History UI home page.

For keycloak:

1. Confidential Clients:
   • Access Type: Confidential
   • Standard Flow Enabled: Enabled
   • Implicit Flow Enabled: Disabled
   • Direct Access Grants Enabled: Disabled
2. Public Clients:
   • Access Type: Public
   • Standard Flow Enabled: Enabled
   • Implicit Flow Enabled: Disabled
   • Direct Access Grants Enabled: Disabled

Once done, save the client_id and client_secret (Confidential clients only) into your secret management vault.

Configure the authentication filter

The filter relies on the spark spark.ui.filters configuration property.

Property	Equivalent env variable	Default	Description
issuer-uri	AUTH_ISSUER_URI	-	OIDC Provider issuer URL This is used to discover OIDC endpoints
client-id	AUTH_CLIENT_ID	-	The Oauth2/OIDC client Id
client-secret	AUTH_CLIENT_SECRET	-	The Oauth2/OIDC client secret * Mandatory for Confidential Clients. * Optional for Public clients.
redirect-uri	AUTH_REDIRECT_URI	-	Spark UI/History home page ex.: https://spark-history.example.com/home
scope	AUTH_SCOPE	-	The scope(s) requested by the Authorization Request. Example: openid+profile+email+roles+offline_access
use-pkce	AUTH_USE_PKCE	auto	* true: Force the usage of PKCE (The OIDC provider should support it). * false: Disable the usage of PKCE for confidential clients. * auto: Detect if OIDC provider supports PKCE and use it, otherwise use Authorization Code standard flow.
cookie-max-age-minutes	AUTH_COOKE_MAX_AGE_MINUTES	12 * 60	The maximum spark-cookie cookie duration in minutes
cookie-cipher-secret-key	AUTH_COOKIE_ENCRYPTION_KEY	-	Cookie encryption key Can be generated using: openssl enc -aes-128-cbc -k <PASS PHRASE> -P -md sha1 -pbkdf2
cookie-is-secure	AUTH_COOKE_IS_SECURE	true	When enabled, the cookie is transmitted over a secure connection only (HTTPS). Disable the option if your run with a non secure connection (HTTP)
user-id	AUTH_USER_ID	email	* email: set the id seen by spark acls as the email filled in the access token. * sub: set the id seen by spark acls as the sub filled in the access token.

Note

1. issuer-uri property or AUTH_ISSUER_URI env variable

   Try to access the endpoint <issuer-uri>/.well-known/openid-configuration (public access) to check if the issuer-uri is valid.

   This should return the different authentication endpoints (authorization, access token, user info endpoints, supported scopes etc.).

   For keycloack, the default issuer-uri is at https://<keycloak.example.com>/auth/realms/master/ and https://<keycloak.example.com>/auth/realms/master/.well-known/openid-configuration is the well known configuration endpoint.

2. cookie-cipher-secret-key property or AUTH_COOKIE_ENCRYPTION_KEY env variable

   Generate the cookie encryption key by issuing the command:

   openssl enc -aes-128-cbc -k <YOUR_PASS_PHRASE> -P -md sha1 -pbkdf2

3. scope property or AUTH_SCOPE env variable

   The minimum required scope to turn on authentication is: openid+profile+email

   Add offline scope offline_access to enable the refresh token

   Add the roles and/or groups scope to enable role/groups based authorization

   It is not necessary to add groups and/or roles scope if you only need the authentication, and you don't need the authorization.

   N.B.: Please, note that the groups scope is not supported by the most OIDC providers. You can check the supported scopes at <issuer-uri>/.well-known/openid-configuration url.

   N.B.: Keycloack supports returning the groups for a user by adding Group Membership mapper to your client

4. use-pkce property or AUTH_USE_PKCE env variable

   The default value is auto to automatically detect if the OIDC provider supports PKCE.

   When the OIDC provider supports PKCE, the filter uses the PKCE flow automatically.

   Other values: true or false to enforce the property manually.

   N.B.: The OIDC provider must support PKCE extension in order to use Public Clients.

5. cookie-is-secure property or AUTH_COOKE_IS_SECURE env variable

   It's recommended to secure the connection to your spark UIs by enabling HTTPS. Although, the spark cookie is encrypted, it's recommended to send it over an encrypted connection.

   By default, the property is enabled. Disable the property if your connection is not secure otherwise the cookie will not be sent

Basic configuration

The filter can be enabled either by setting the properties globally in the spark-defaults.properties

spark.ui.filters=io.okdp.spark.authc.OidcAuthFilter
spark.io.okdp.spark.authc.OidcAuthFilter.param.issuer-uri=<issuer-uri>
spark.io.okdp.spark.authc.OidcAuthFilter.param.client-id=<client-id>

# Comment this line if your client-id is public and your OIDC provider support PKCE
spark.io.okdp.spark.authc.OidcAuthFilter.param.client-secret=<client-secret>

spark.io.okdp.spark.authc.OidcAuthFilter.param.redirect-uri=<redirect-uri>
spark.io.okdp.spark.authc.OidcAuthFilter.param.scope=<scope>

# Keep the default value 'auto'
# spark.io.okdp.spark.authc.OidcAuthFilter.param.use-pkce=<true|false|auto>

spark.io.okdp.spark.authc.OidcAuthFilter.param.cookie-max-age-minutes=480
spark.io.okdp.spark.authc.OidcAuthFilter.param.cookie-cipher-secret-key=<cookie-cipher-secret-key>
spark.io.okdp.spark.authc.OidcAuthFilter.param.cookie-is-secure=<true|false>
spark.io.okdp.spark.authc.OidcAuthFilter.param.user-id=<sub|email>

Or during the job submission like the following:

spark-submit  --conf spark.ui.filters=io.okdp.spark.authc.OidcAuthFilter \
--conf spark.io.okdp.spark.authc.OidcAuthFilter.param.issuer-uri=<issuer-uri> \
--conf spark.io.okdp.spark.authc.OidcAuthFilter.param.client-id=<client-id>         \
--conf spark.io.okdp.spark.authc.OidcAuthFilter.param.client-secret=<client-secret> \
--conf spark.io.okdp.spark.authc.OidcAuthFilter.param.redirect-uri=<redirect-uri>   \
--conf spark.io.okdp.spark.authc.OidcAuthFilter.param.scope=<scope>                 \
--conf spark.io.okdp.spark.authc.OidcAuthFilter.param.cookie-max-age-minutes=480    \
--conf spark.io.okdp.spark.authc.OidcAuthFilter.param.cookie-cipher-secret-key=<cookie-cipher-secret-key> \
--conf spark.io.okdp.spark.authc.OidcAuthFilter.param.cookie-is-secure=<true|false>  \
--conf spark.io.okdp.spark.authc.OidcAuthFilter.param.user-id=<sub|email>  \
--class ...

Remove the following configuration if your client id is public and your OIDC provider supports PKCE:

--conf spark.io.okdp.spark.authc.OidcAuthFilter.param.client-secret=<client-secret>

Kubernetes configuration

The properties can also be passed by their equivalent env variables.

You can save the client_id, client secret and the cookie encryption key in a kubernetes secret and reference it as an env variable like the following:

env:
- name: AUTH_ISSUER_URI
  value: <issuer-uri>
- name: AUTH_CLIENT_ID
  valueFrom:
  secretKeyRef:
- name: AUTH_REDIRECT_URI
  value: <redirect-uri>
- name: AUTH_SCOPE
  value: openid+profile+email+roles+offline_access
# Keep the default value of AUTH_USE_PKCE as auto, other values: true, false
#- name: AUTH_USE_PKCE
#  value: auto
# Remove the AUTH_CLIENT_SECRET if your client id is public and your OIDC provider supports PKCE
- name: AUTH_CLIENT_SECRET
  valueFrom:
  secretKeyRef:
- name: AUTH_COOKIE_ENCRYPTION_KEY
  valueFrom:
  secretKeyRef:

Configure the authorization provider (optional)

Overview

An example of a raw access token returned by the Oauth2/OIDC provider during a successful authentication is like the following:

{
   "access_token": "eyJhbGciOiJI6-auxZsE6...",
   "token_type": "bearer",
   "expires_in": 86399,
   "refresh_token": "ChlvaWJmNXBuaG1rdWN0e...",
   "id_token": "eyJhbGciOiJSUzI1NiIsImtpZCI6IjBkZWEw..."
}

The token payload after decoding the access_token is as follows:

{
   "iss": "<issuer-uri>",
   "sub": "CgNib2ISBGxkYXA",
   "aud": "<client-id>",
   "exp": 1708476719,
   "iat": 1708390319,
   "at_hash": "x_kKHrjGfnSfkjDwIGPPbg",
   "email": "bob@example.org",
   "email_verified": true,
   "groups": ["admins", "team1", "/team2"],
   "roles": ["role-team1", "admin-role"],
   "name": "bob"
}

The "email", "groups" and/or "roles" can be mapped in Spark ACLs to consequently grant or denies access.

Configuration

A basic configuration properties to enable the provider globally, in spark-defaults.conf, are:

spark.user.groups.mapping=io.okdp.spark.authz.OidcGroupMappingServiceProvider
spark.acls.enable=true
spark.history.ui.acls.enable=true
# Comma separated list of admin groups (view all applications)
spark.history.ui.admin.acls.groups=admins,team1

These properties should be set before the spark history starts.

You can also decide globally which users, roles and/or groups you grant access to your applications individually in spark history UI or your spark ui by adding the properties in spark-defaults.conf:

Select the properties to enable the authorization for:

#Comma separated list of groups
spark.admin.acls.groups=admins,admin-role
spark.modify.acls.groups=team1
spark.ui.view.acls.groups=/team2,role-team1

# Comma separated list of users
spark.admin.acls=bob@example.org
spark.modify.acls=bob@example.org
spark.ui.view.acls=bob@example.org,bill@example.org

Or at spark job submission time (select the properties to enable):

spark-submit -conf spark.admin.acls.groups=admins,admin-role \
--conf spark.modify.acls.groups=team1 \
--conf spark.ui.view.acls.groups=/team2,role-team1 \
--conf spark.admin.acls=bob@example.org \
--conf spark.modify.acls=bob@example.org \
--conf spark.ui.view.acls=bob@example.org,bill@example.org \
  ...

Use cases, limitation and future work

The filter is designed to address a basic use cases where you don't need to deploy extra components in order to secure your Spark History UIs.

The filter can also be used to secure Spark UIs, but note that, in real world kubernetes integration, each spark application submission creates its own ingress endpoint. With hundreds of running spark applications, it becomes very difficult to track all the endpoints and configure them.

Another limitation, is that depending on the oidc provider, the number of redirect URIs per oidc client can be limited and the usage of URIs pattern is also prohibited by OAuth 2.1.

A new central portal UI is under development to simplify dynamic discovery, log/monitoring tracking and provides shortcuts to easily navigate and filter the spark applications.