Configure Security for ksqlDB
ksqlDB supports several combinations of encryption and authentication on its client-facing and internal endpoints. ksqlDB also supports many of the security features of the other services it communicates with, like Apache Kafka® and Schema Registry.
Securing ksqlDB for Confluent Cloud¶
You can use ksqlDB with a Kafka cluster in Confluent Cloud. For more information, see Connecting ksqlDB to Confluent Cloud.
Securing ksqlDB on premise¶
This section covers how to secure installations of ksqlDB outside of Confluent Cloud, like on-premises installations or manual installations on other cloud platforms.
To configure security for ksqlDB, add your configuration settings to the
<path-to-confluent>/etc/ksqldb/ksql-server.properties
file and then
start the ksqlDB Server with your
configuration file specified.
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Tip
These instructions assume you are installing Confluent Platform by using ZIP or TAR archives. For more information, see On-Premises Deployments.
The section is split into:
Securing ksqlDB installation: Covers how to secure access to ksqlDB itself and its own internal communication.
Securing communication with other services: Covers how to secure communication with other services and access to the resources they hold.
Securing ksqlDB installation¶
ksqlDB supports two main deployment modes:
Securing interactive deployments: Interactive deployments are those where the ksqlDB servers accept client connections.
Securing headless deployments: headless deployments are those where the ksqlDB servers do not accept client connections. They read the SQL statements they should run from a file on-disk.
Securing interactive deployments¶
Securing the interactive ksqlDB installation involves securing the HTTP endpoints that the ksqlDB server is listening on.
As well as accepting connections and requests from clients, a multi-node ksqlDB cluster also requires inter-node communications. You can choose to configure the external client and internal inter-node communication separately or over a single listener:
Securing single listener setup: Ideal for single-node installations, or where the inter-node communication is over the same network interface as client communication.
Securing dual listener setup: Useful where inter-node communication is over a different network interface or requires different authentication or encryption configuration.
Securing single-listener setup¶
Securing a single listener for ksqlDB is appropriate when both client and inter-node communication utilize the same authentication and security configuration.
The supported options include encrypting the connection and authenticating clients:
Configuring listener for SSL encryption: Creates an encrypted connection between the client and server, as well as for inter-node communication.
Configuring listener for HTTP-BASIC authentication: Uses a username and password for authenticating to ksqlDB.
Configuring Listener for SSL encryption¶
ksqlDB can be configured to use HTTPS rather than the default HTTP for all communication.
If you haven't already, you will need to create SSL key and trust stores.
Use the following settings to configure the ksqlDB server to use HTTPS:
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Note the use of the HTTPS protocol in the listeners
config.
To enable the server to authenticate clients (2-way authentication), use the following additional setting:
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Note
The ssl.client.auth
setting is deprecated.
Additional server configuration options for HTTPS¶
Additional settings are available for configuring ksqlDB for HTTPS.
ssl.enabled.protocols
: A comma-separated list of protocols enabled for SSL connections.
Leave blank to use the default from the Apache Kafka® SslConfigs.java
file
(see DEFAULT_SSL_ENABLED_PROTOCOLS
).
ssl.cipher.suites
: A comma-separated list of SSL cipher suites.
Leave blank to use your JVM defaults.
Configure the CLI for HTTPS¶
If the ksqlDB server is configured to use HTTPS, CLI instances may need to be configured with suitable key and trust stores.
If the server's SSL certificate is not signed by a recognized public Certificate Authority, you must configure the CLI with a trust store that trusts the server's SSL certificate.
If you haven't already, create SSL key and trust stores.
Use the following settings to configure the CLI server:
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If the server is performing client authentication (2-way authentication), use the following additional settings:
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Settings for the CLI can be stored in a suitable file and passed to the
CLI by using the --config-file
command-line arguments, for example:
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Configuring listener for HTTP-BASIC Authentication/Authorization¶
ksqlDB can be configured to require users to authenticate using a username and password via the Basic HTTP authentication mechanism. You can also provide role-based authorization by specifying which roles can access the ksqlDB server.
Note
If you're using Basic authentication, we recommend that you configure ksqlDB to use HTTPS for secure communication, because the Basic protocol passes credentials in plain text.
Create the jaas_config.file
¶
The file jaas_config.file
defines how the ksqlDB server authenticates users.
An example jaas_config.file
is:
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The example jaas_config.file
above uses the Jetty
PropertyFileLoginModule
, which itself authenticates users by checking
for their credentials in a password file.
You can also use other implementations of the standard Java
LoginModule
interface, such as JDBCLoginModule
for reading
credentials from a database or the LdapLoginModule
.
In the PropertyFileLoginModule
example above, the file parameter is the
location of the password file. The format is:
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Specify one user and password per line. Roles are optional and are defined next to the password hash.
The password hash for a user can be obtained by using the
org.eclipse.jetty.util.security.Password
utility, for example running:
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Which results in an output similar to:
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Where each line of the output is the password encrypted using different mechanisms, starting with plain text. Copy any of the password encrypted lines onto the password file.
The role names are defined next to the encrypted password. These
are used by the LoginModule
to map users to roles.
Here's an example of the password file:
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Configure the ksqlDB server settings¶
Use the following settings in the ksql-server.properties
file:
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The authentication.method
property indicates that ksqlDB authenticates users by using BASIC
user and password credentials.
The authentication.realm
config must match a section within
jaas_config.file
, which provides the login module for authentication.
In this example, the authentication.realm
config is set to KsqlServer-Props
, which
was defined in the previous section:
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The authentication.roles
config defines a comma-separated list of user
roles with access to the ksqlDB server. To be authorized to use the ksqlDB Server,
an authenticated user must belong to at least one of these roles.
For example, if you define admin
and developer
roles, ksqlDB allows access only to users that contain these roles
For more information, see the configuration for the password file in the jaas_config.file
section.
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Note
You can authorize any role by setting the authentication.roles
to **
.
Example¶
Password file:
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JAAS config file (jaas_config.file
):
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ksqlDB settings:
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The ksqlDB server authenticates users fred
, harry
, tom
, and dick
based on the
user and password credentials found in the password file. But only fred
and dick
authorized to access the server because they're under the admin
role.
Configure the CLI for Basic HTTP Authentication¶
If the ksqlDB Server is configured to use Basic authentication, you must
configure CLI instances with suitable valid credentials. You can provide
credentials when starting the CLI by using the --user
and
--password
command-line arguments, for example:
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Securing dual-listener setup¶
Using dual listeners for ksqlDB is appropriate when the client and inter-node communication utilize different authentication and security configurations. This is most likely the case when ksqlDB is deployed as an IaaS service.
The supported setups are SSL-mutual auth for the internal communication combined with SSL encryption and authentication for the external client:
Configuring internal for SSL-mutual authentication: Creates secure and authenticated connections for inter-node communication, but leaves the external client API unsecured. This is most appropriate when clients are trusted, but the internal APIs are protected from use.
Configuring internal for SSL-mutual authentication and external for SSL encryption: Creates secure and authenticated connections for inter-node communication and uses SSL for the external client API. This is most likely to be used with authentication below.
Configuring internal for SSL-mutual authentication and external for HTTP-BASIC authentication: Creates secure and authenticated connections for inter-node communication and uses basic authentication for the external client API. This is most likely to be used with SSL above.
Configuring internal for SSL-mutual authentication¶
ksqlDB supports securing inter-node communication using SSL mutual authentication.
For more information about configuring ksql.internal.listener
, see Configuring Listeners of a ksqlDB Cluster.
Your key store must contain the key pair for your internal listener set with
ksql.internal.listener
. If your internal certificate is not signed by a recognized
public Certificate Authority, a trust store is required to contain certificates for
nodes in your cluster. Below is an example configuration:
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Configuring internal for SSL-mutual authentication and external for HTTP-BASIC authentication¶
Client-facing basic HTTP authentication can be used alongside authentication for the internal listener. This ensures that neither the client or internal APIs can be accessed by unauthorized users.
Note
If you're using Basic authentication, we recommend that you configure ksqlDB to use HTTPS for secure communication, because the Basic protocol passes credentials in plain text.
Below is an example configuration:
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For more detail on basic authentication, see above.
Configuring internal for SSL-mutual authentication and external for SSL encryption¶
If you want to use HTTPS on listeners
as well as use SSL mutual
auth for internal communication on ksql.internal.listener
, you will likely
require two different key pairs, since your host's identity to clients may be
different from its internal identity. To create such a key store,
refer below.
In such a configuration, you must specify which key pair is used for a given
listener by providing a key store alias. For example,
if set, ksql.ssl.keystore.alias.internal
will be used to find the key store entry
with the given alias when setting up the internal listener. Similarly,
ksql.ssl.keystore.alias.external
is used for the client listener listeners
.
Below is an example configuration:
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Setting up a Key Store and Trust Store¶
In order to create a keystore with multiple key pairs with aliases, follow the below examples, depending on the source of the keys.
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Also, extracting certificates to add to a trust store can be done with the following commands:
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Securing headless deployments¶
Unlike interactive deployments, there are no exposed REST APIs, so security is greatly simplified.
You may still have to secure communication with other services.
Securing communication with other services¶
This section covers how to secure communications of ksqlDB with other services.
The section is split into:
Configure ksqlDB for Secured Confluent Schema Registry: Covers how to secure communication with schema registry.
Configure ksqlDB for Secured Apache Kafka clusters: Covers how to secure communication with Kafka.
Configure ksqlDB for Secured Confluent Schema Registry¶
You can configure ksqlDB to connect to Schema Registry over HTTP by setting
the ksql.schema.registry.url
to the HTTPS endpoint of Schema Registry.
Depending on your security setup, you might also need to supply
additional SSL configuration. For example, a trustStore is required if
the Schema Registry SSL certificates aren't trusted by the JVM by
default. A keyStore is required if Schema Registry requires mutual
authentication.
You can configure SSL for communication with Schema Registry by using
non-prefixed names, like ssl.truststore.location
, or prefixed names
like ksql.schema.registry.ssl.truststore.location
. Non-prefixed names
are used for settings that are shared with other communication channels,
where the same settings are required to configure SSL communication
with both Kafka and Schema Registry. Prefixed names affect communication
with Schema Registry only and override any non-prefixed settings of the same
name.
Use the following to configure ksqlDB for communication with Schema Registry over HTTPS, where mutual authentication isn't required and Schema Registry SSL certificates are trusted by the JVM:
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Use the following settings to configure ksqlDB for communication with Schema Registry over HTTPS, with mutual authentication, with an explicit trustStore, and where the SSL configuration is shared between Kafka and Schema Registry:
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Use the following settings to configure ksqlDB for communication with Schema Registry over HTTP, without mutual authentication and with an explicit trustStore. These settings explicitly configure only ksqlDB to Schema Registry SSL communication.
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The exact settings will vary depending on the encryption and authentication mechanisms Schema Registry is using, and how your SSL certificates are signed.
You can pass authentication settings to the Schema Registry client used by ksqlDB by adding the following to your ksqlDB Server config.
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For more information, see Schema Registry Security Overview.
Configure ksqlDB for Secured Apache Kafka clusters¶
The following are common configuration examples.
Configuring Kafka Encrypted Communication¶
This configuration enables ksqlDB to connect to a Kafka cluster over SSL, with a user supplied trust store:
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The exact settings will vary depending on the security settings of the Kafka brokers, and how your SSL certificates are signed. For full details, and instructions on how to create suitable trust stores, please refer to the Security Guide.
To use separate trust stores for encrypted communication with Kafka
and external communication with ksqlDB clients, prefix the SSL truststore configs
with ksql.streams.
:
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Configure Kafka Authentication¶
This configuration enables ksqlDB to connect to a secure Kafka cluster using PLAIN SASL, where the SSL certificates have been signed by a CA trusted by the default JVM trust store.
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The exact settings will vary depending on what SASL mechanism your Kafka cluster is using and how your SSL certificates are signed. For more information, see the Security Guide.
Configure Authorization of ksqlDB with Kafka ACLs¶
Kafka clusters can use ACLs to control access to resources. Such clusters require each client to authenticate as a particular user. To work with such clusters, ksqlDB must be configured to authenticate with the Kafka cluster, and certain ACLs must be defined in the Kafka cluster to allow the user ksqlDB is authenticating as access to resources. The list of ACLs that must be defined depends on the version of the Kafka cluster.
Confluent Platform v5.0 (Apache Kafka v2.0) and above¶
Confluent Platform 5.0 simplifies the ACLs required to run ksqlDB against a Kafka cluster secured with ACLs, (see KIP-277 and KIP-290 for details). We strongly recommend using Confluent Platform 5.0 or above for deploying secure installations of Kafka and ksqlDB.
ACL definition¶
Kafka ACLs are defined in the general format of "Principal P is Allowed/Denied Operation O From Host H on any Resource R matching ResourcePattern RP".
- Principal
-
An authenticated user or group. For example,
"user: Fred"
or"group: fraud"
. - Permission
-
Defines if the ACL allows (
ALLOW
) or denies (DENY
) access to the resource. - Operation
-
The operation that is performed on the resource, for example
READ
. - Resource
-
A resource consists of a resource type and resource name:
RESOURCE_TYPE
, for exampleTOPIC
or consumerGROUP
.- Resource name, for example the name of a topic or a consumer-group.
- ResourcePattern
-
A resource pattern matches zero or more Resources and consists of a resource type, a resource name and a pattern type.
RESOURCE_TYPE
, for exampleTOPIC
or consumerGROUP
. The pattern will only match resources of the same resource type.- Resource name. How the pattern uses the name to match Resources is dependent on the pattern type.
PATTERN_TYPE
, controls how the pattern matches a Resource's name to the patterns. Valid values are: -LITERAL
pattern types match the name of a resource exactly, or, in the case of the special wildcard resource name *, resources of any name. -PREFIXED
pattern types match when the resource's name is prefixed with the pattern's name.
The
CLUSTER
resource type is implicitly a literal pattern with a constant name because it refers to the entire Kafka cluster.
The ACLs described below list a RESOURCE_TYPE
, resource name,
PATTERN_TYPE
, and OPERATION
. All ACLs described are ALLOW
ACLs,
where the principal is the user the ksqlDB Server has authenticated as,
with the Apache Kafka cluster, or an appropriate group that includes the
authenticated ksqlDB user.
Tip
For more information about ACLs, see Authorization using ACLs.
ACLs on Literal Resource Pattern¶
A literal resource pattern matches resources exactly. They are
case-sensitive. For example ALLOW
user Fred
to READ
the TOPIC
with the LITERAL
name users
.
Here, user Fred would be allowed to read from the topic users only. Fred would not be allowed to read from similarly named topics such as user, users-europe, Users etc.
ACLs on Prefixed Resource Pattern¶
A prefixed resource pattern matches resources where the resource name
starts with the pattern's name. They are case-sensitive. For example
ALLOW
user Bob
to WRITE
to any TOPIC
whose name is PREFIXED
with fraud-
.
Here, user Bob would be allowed to write to any topic whose name starts with fraud-, for example fraud-us, fraud-testing and fraud-. Bob would not be allowed to write to topics such as production-fraud-europe, Fraud-us, etc.
Required ACLs¶
The ACLs required are the same for both Interactive and non-interactive (headless) ksqlDB clusters.
ksqlDB always requires the following ACLs for its internal operations and data management:
- The
DESCRIBE_CONFIGS
operation on theCLUSTER
resource type. - The
ALL
operation on all internalTOPICS
that arePREFIXED
with_confluent-ksql-<ksql.service.id>
. - The
ALL
operation on all internalGROUPS
that arePREFIXED
with_confluent-ksql-<ksql.service.id>
.
Where ksql.service.id
can be configured in the ksqlDB configuration and
defaults to default_
.
If ksqlDB is configured to create a topic for the record processing log, which is the default configuration, the following ACLs are also needed:
- The
ALL
operation on theTOPIC
withLITERAL
name<ksql.logging.processing.topic.name>
.
Where ksql.logging.processing.topic.name
can be configured in the ksqlDB
configuration and defaults to <ksql.service.id>ksql_processing_log
.
In addition to the general permissions above, ksqlDB also needs permissions to perform the actual processing of your data. Here, ksqlDB needs permissions to read data from your desired input topics and/or permissions to write data to your desired output topics:
- The
READ
operation on any input topics. - The
WRITE
operation on any output topics. - The
CREATE
operation on any output topics that do not already exist.
Often output topics from one query form the inputs to others. ksqlDB will
require READ
and WRITE
permissions for such topics.
The set of input and output topics that a ksqlDB cluster requires access to will depend on your use case and whether the ksqlDB cluster is configured in interactive or non-interactive mode.
Non-Interactive (headless) ksqlDB clusters¶
Non-interactive ksqlDB clusters run a known set of SQL statements, meaning the set of input and output topics is well defined. Add the ACLs required to allow ksqlDB access to these topics.
For example, given the following setup:
- A 3-node ksqlDB cluster with ksqlDB servers running on IPs 198.51.100.0, 198.51.100.1, 198.51.100.2
- Authenticating with the Kafka cluster as a
KSQL1
user. - With
ksql.service.id
set toproduction_
. - Running queries that read from input topics
input-topic1
andinput-topic2
. - Writing to output topics
output-topic1
andoutput-topic2
. - Where
output-topic1
is also used as an input for another query.
Then the following commands would create the necessary ACLs in the Kafka cluster to allow ksqlDB to operate:
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Interactive ksqlDB clusters¶
Interactive ksqlDB clusters accept SQL statements from users and hence may require access to a wide variety of input and output topics. Add ACLs to appropriate literal and prefixed resource patterns to allow ksqlDB access to the input and output topics, as required.
Tip
To simplify ACL management, you should configure a default custom topic
name prefix such as ksql-interactive-
for your ksqlDB cluster via the
ksql.output.topic.name.prefix
server configuration setting.
Unless a user defines an explicit topic name in a SQL statement, ksqlDB
will then always prefix the name of any automatically created output
topics. Then add an ACL to allow ALL
operations on TOPICs
that are
PREFIXED
with the configured custom name prefix (in the example above:
ksql-interactive-
).
For example, given the following setup:
- A 3-node ksqlDB cluster with ksqlDB servers running on IPs 198.51.100.0, 198.51.100.1, 198.51.100.2
- Authenticating with the Kafka cluster as a
KSQL1
user. - With
ksql.service.id
set tofraud_
. - Where users should be able to run queries against any input topics
prefixed with
accounts-
,orders-
andpayments-
. - Where
ksql.output.topic.name.prefix
is set toksql-fraud-
- And users won't use explicit topic names, i.e. users will rely on ksqlDB auto-creating any required topics with auto-generated names. (Note: If users want to use explicit topic names, then you must provide the necessary ACLs for these in addition to what's shown in the example below.)
Then the following commands would create the necessary ACLs in the Kafka cluster to allow ksqlDB to operate:
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The following table shows the necessary ACLs in the Kafka cluster to allow ksqlDB to operate in interactive mode.
Permission | Operation | Resource | Name | Type |
---|---|---|---|---|
ALLOW | DESCRIBE | CLUSTER | kafka-cluster | LITERAL |
ALLOW | DESCRIBE_CONFIGS | CLUSTER | kafka-cluster | LITERAL |
ALLOW | CREATE | TOPIC | <ksql-service-id> |
PREFIXED |
ALLOW | CREATE | TOPIC | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | CREATE | GROUP | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | DESCRIBE | TOPIC | <ksql-service-id> |
PREFIXED |
ALLOW | DESCRIBE | TOPIC | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | DESCRIBE | GROUP | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | ALTER | TOPIC | <ksql-service-id> |
PREFIXED |
ALLOW | ALTER | TOPIC | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | ALTER | GROUP | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | DESCRIBE_CONFIGS | TOPIC | <ksql-service-id> |
PREFIXED |
ALLOW | DESCRIBE_CONFIGS | TOPIC | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | DESCRIBE_CONFIGS | GROUP | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | ALTER_CONFIGS | TOPIC | <ksql-service-id> |
PREFIXED |
ALLOW | ALTER_CONFIGS | TOPIC | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | ALTER_CONFIGS | GROUP | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | READ | TOPIC | <ksql-service-id> |
PREFIXED |
ALLOW | READ | TOPIC | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | READ | GROUP | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | WRITE | TOPIC | <ksql-service-id> |
PREFIXED |
ALLOW | WRITE | TOPIC | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | WRITE | GROUP | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | DELETE | TOPIC | <ksql-service-id> |
PREFIXED |
ALLOW | DELETE | TOPIC | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | DELETE | GROUP | _confluent-ksql-<ksql-service-id> |
PREFIXED |
ALLOW | DESCRIBE | TOPIC | * |
LITERAL |
ALLOW | DESCRIBE | GROUP | * |
LITERAL |
ALLOW | DESCRIBE_CONFIGS | TOPIC | * |
LITERAL |
ALLOW | DESCRIBE_CONFIGS | GROUP | * |
LITERAL |
ALLOW | DESCRIBE | TRANSACTIONAL_ID | <ksql-service-id> |
LITERAL |
ALLOW | WRITE | TRANSACTIONAL_ID | <ksql-service-id> |
LITERAL |
Confluent Platform versions below v5.0 (Apache Kafka < v2.0)¶
Versions of the Confluent Platform below v5.0, (which use Apache Kafka versions below v2.0), do not benefit from the enhancements found in later versions of Kafka, which simplify the ACLs required to run ksqlDB against a Kafka cluster secured with ACLs. This means a much larger, or wider range, set of ACLs must be defined. The set of ACLs that must be defined depends on whether the ksqlDB cluster is configured for interactive or non-interactive (headless).
ACL definition¶
Kafka ACLs are defined in the general format of "Principal P is Allowed/Denied Operation O From Host H on Resource R".
- Principal
-
An authenticated user or group. For example,
"user: Fred"
or"group: fraud"
. - Permission
-
Defines if the ACL allows (
ALLOW
) or denies (DENY
) access to the resource. - Operation
-
The operation that is performed on the resource, for example
READ
. - Resource
-
A resource consists of a resource type and resource name:
RESOURCE_TYPE
, for exampleTOPIC
or consumerGROUP
.- Resource name, where the name is either specific, for example
users
, or the wildcard*
, meaning all resources of this type. The name is case-sensitive.
The
CLUSTER
resource type does not require a resource name because it refers to the entire Kafka cluster.
An example ACL might ALLOW
user Jane
to READ
the TOPIC
named
users
.
Here, user Jane would be allowed to read from the topic users only. Jane would not be allowed to read from similarly named topics such as user, users-europe, Users etc.
The ACLs described below list a RESOURCE_TYPE
, resource name, and
OPERATION
. All ACLs described are ALLOW
ACLs, where the principal is
the user the ksqlDB server has authenticated as, with the Apache Kafka
cluster, or an appropriate group that includes the authenticated ksqlDB
user.
Tip
For more information about ACLs, see Authorization using ACLs.
Interactive ksqlDB clusters pre Kafka 2.0¶
Interactive ksqlDB clusters, (which is the default configuration), require that the authenticated ksqlDB user has open access to create, read, write, delete topics, and use any consumer group:
Interactive ksqlDB clusters require these ACLs:
- The
DESCRIBE_CONFIGS
operation on theCLUSTER
resource type. - The
CREATE
operation on theCLUSTER
resource type. - The
DESCRIBE
,READ
,WRITE
andDELETE
operations on allTOPIC
resource types. - The
DESCRIBE
andREAD
operations on allGROUP
resource types.
It's still possible to restrict the authenticated ksqlDB user from
accessing specific resources using DENY
ACLs. For example, you can add
a DENY
ACL to stop SQL queries from accessing a topic that contains
sensitive data.
For example, given the following setup:
- A 3-node ksqlDB cluster with ksqlDB servers running on IPs 198.51.100.0, 198.51.100.1, 198.51.100.2
- Authenticating with the Kafka cluster as a 'KSQL1' user.
Then the following commands would create the necessary ACLs in the Kafka cluster to allow ksqlDB to operate:
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Non-Interactive (headless) ksqlDB clusters pre Kafka 2.0¶
Because the list of queries are known ahead of time, you can run Non-interactive ksqlDB clusters with more restrictive ACLs. Determining the list of ACLs currently requires a bit of effort.
- Standard ACLs
-
The authenticated ksqlDB user always requires:
DESCRIBE_CONFIGS
permission on theCLUSTER
resource type.
- Input topics
-
An input topic is one that has been imported into ksqlDB using a
CREATE STREAM
orCREATE TABLE
statement. The topic should already exist when ksqlDB is started.The authenticated ksqlDB user requires
DESCRIBE
andREAD
permissions for each input topic. - Output topics
-
ksqlDB creates output topics when you run persistent
CREATE STREAM AS SELECT
orCREATE TABLE AS SELECT
queries.The authenticated ksqlDB user requires
DESCRIBE
andWRITE
permissions on each output topic.By default, ksqlDB will attempt to create any output topics that do not exist. To allow this, the authenticated ksqlDB user requires
CREATE
permissions on theCLUSTER
resource type. Alternatively, topics can be created manually before running ksqlDB. To determine the list of output topics and their required configuration, like partition count, replication factor, and retention policy, you can initially run ksqlDB on a Kafka cluster with none or open ACLs first. - Change-log and repartition topics
-
Internally, ksqlDB uses repartition and changelog topics for selected operations. ksqlDB requires repartition topics when using either
PARTITION BY
, or usingGROUP BY
on non-key values, and requires changelog topics for anyCREATE TABLE x AS
statements.The authenticated ksqlDB user requires
DESCRIBE
,READ
, andWRITE
permissions for each changelog and repartitionTOPIC
.By default, ksqlDB will attempt to create any repartition or changelog topics that do not exist. To allow this, the authenticated ksqlDB user requires
CREATE
permissions on theCLUSTER
resource type. Alternatively, you can create topics manually before running ksqlDB. To determine the list of output topics and their required configuration, (partition count, replication factor, retention policy, etc), you can initially run ksqlDB on a Kafka cluster with none or open ACLs first.All changelog and repartition topics are prefixed with
_confluent-ksql-<ksql.service.id>
whereksql.service.id
defaults todefault_
, (for more information, see ksql.service.id), and postfixed with either-changelog
or-repartition
, respectively. - Consumer groups
-
ksqlDB uses Kafka consumer groups when consuming input, change-log and repartition topics. The set of consumer groups that ksqlDB requires depends on the queries that are being executed.
The authenticated ksqlDB user requires
DESCRIBE
andREAD
permissions for each consumerGROUP
.The easiest way to determine the list of consumer groups is to initially run the queries on a Kafka cluster with none or open ACLS and then list the groups created. For more information about how to list groups, see Managing Consumer Groups.
Consumer group names are formatted like
_confluent-ksql-<value of ksql.service.id property>_query_<query id>
, where the default ofksql.service.id
isdefault_
.
Tip
For more information about interactive and non-interactive queries, see Non-interactive (Headless) ksqlDB Usage.
Next Steps¶
- See the blog post Secure Stream Processing with Apache Kafka, Confluent Platform and KSQL
- Try out the Kafka Event Streaming Application tutorial.