Installation

Nussknacker relies on several open source components like Kafka, Grafana (or optionally, Flink), which need to be installed together with Nussknacker. This document focuses on the configuration of Nussknacker and its integrations with those components; please refer to their respective documentations for details on their optimal configuration.

Flink

Nussknacker (both binary package and docker image) is published in two versions - built with Scala 2.12 and 2.13. As for now, Flink does not support Scala 2.13 (see FLINK-13414 issue), so to use Nussknacker built with Scala 2.13 some tweaks in Flink installations are required. Nussknacker built with Scala 2.12 works with Flink out of the box.

Docker based installation

Nussknacker is available at Docker Hub. You can check an example usage with docker-compose at Nussknacker Quickstart repository in docker directory.

Please note, that while you can install Designer with plain Docker (e.g. with docker-compose) with Lite engine configured, you still need configured Kubernetes cluster to actually run scenarios in this mode - we recommend using Helm installation for that mode.

If you want to check locally Streaming processing mode with plain Docker and embedded engine just run:

docker run -it --network host -e DEFAULT_SCENARIO_TYPE=streaming-lite-embedded -e KAFKA_ADDRESS=localhost:3032 -e SCHEMA_REGISTRY_URL=http://localhost:3082 touk/nussknacker:latest

If you want to see Nussknacker in action without Kafka, using embedded Request-Response processing mode (scenario logic is exposed with REST API), run:

docker run -it --network host -e DEFAULT_SCENARIO_TYPE=request-response-embedded touk/nussknacker:latest

After it started go to http://localhost:8080 and login using credentials: admin/admin. REST endpoints of deployed scenarios will be exposed at http://localhost:8181/scenario/<slug>. Slug is defined in Properties, and by default it is scenario name.

More information you can find at Docker Hub

Base Image

As a base image we use eclipse-temurin:11-jre-jammy. See Eclipse Temurin Docker Hub for more details.

Container configuration

For basic usage, most things can be configured using environment variables. In other cases, can be mounted volume with own configuration file. See configuration section for more details. NUSSKNACKER_DIR is pointing to /opt/nussknacker.

Kubernetes - Helm chart

We provide Helm chart with basic Nussknacker setup, including:

• Kafka - required only in streaming processing mode
• Grafana + InfluxDB
• One of the available engines: Flink or Lite.

Please note that Kafka (and Flink if chosen) are installed in basic configuration - for serious production deployments you probably want to customize those to meet your needs.

You can check example usage at Nussknacker Quickstart repository in k8s-helm directory.

Configuration with environment variables

All configuration options are described in Configuration.

Some of them can be configured using environment variables, which is mostly helpful in Docker setup. In the table below there are all environment variables used in Nussknacker image. $NUSSKNACKER_DIR is a placeholder pointing to Nussknacker installation directory.

Basic environment variables

Variable name	Type	Default value	Description
JDK_JAVA_OPTIONS	string		Custom JVM options, e.g -Xmx512M
JAVA_DEBUG_PORT	int		Port to Remote JVM Debugger. By default debugger is turned off.
CONFIG_FILE	string	$NUSSKNACKER_DIR/conf/application.conf	Location of application configuration. You can pass comma separated list of files, they will be merged in given order, using HOCON fallback mechanism
LOGBACK_FILE	string	$NUSSKNACKER_DIR/conf/docker-logback.xml	Location of logging configuration
WORKING_DIR	string	$NUSSKNACKER_DIR	Location of working directory
STORAGE_DIR	string	$WORKING_DIR/storage	Location of HSQLDB database storage
CLASSPATH	string	$NUSSKNACKER_DIR/lib/:$NUSSKNACKER_DIR/managers/	Classpath of the Designer, lib directory contains related jar libraries (e.g. database driver), managers directory contains deployment manager providers
LOGS_DIR	string	$WORKING_DIR/logs	Location of logs
HTTP_INTERFACE	string	0.0.0.0	Network address Nussknacker binds to
HTTP_PORT	string	8080	HTTP port used by Nussknacker
HTTP_PUBLIC_PATH	string		Public HTTP path prefix the Designer UI is served at, e.g. using external proxy like nginx
DB_URL	string	jdbc:hsqldb:file:${STORAGE_DIR}/db;sql.syntax_ora=true	Database URL
DB_DRIVER	string	org.hsqldb.jdbc.JDBCDriver	Database driver class name
DB_USER	string	SA	User used for connection to database
DB_PASSWORD	string		Password used for connection to database
DB_CONNECTION_TIMEOUT	int	30000	Connection to database timeout in milliseconds
AUTHENTICATION_METHOD	string	BasicAuth	Method of authentication. One of: BasicAuth, OAuth2
AUTHENTICATION_USERS_FILE	string	$NUSSKNACKER_DIR/conf/users.conf	Location of users configuration file
AUTHENTICATION_HEADERS_ACCEPT	string	application/json
FLINK_REST_URL	string	http://localhost:8081	URL to Flink's REST API - used for scenario deployment
FLINK_ROCKSDB_ENABLE	boolean	true	Enable RocksDB state backend support
KAFKA_ADDRESS	string	localhost:9092	Kafka address used by Kafka components (sources, sinks)
KAFKA_AUTO_OFFSET_RESET	string		See Kafka documentation. For development purposes it may be convenient to set this value to 'earliest', when not set the default from Kafka ('latest' at the moment) is used
SCHEMA_REGISTRY_URL	string	http://localhost:8082	Address of Confluent Schema registry used for storing data model
GRAFANA_URL	string	/grafana	URL to Grafana, used in UI. Should be relative to Nussknacker URL to avoid additional CORS configuration
INFLUXDB_URL	string	http://localhost:8086	URL to InfluxDB used by counts mechanism
MODEL_CLASS_PATH	list of strings	["model/defaultModel.jar", "model/flinkExecutor.jar", "components/flink/flinkBase.jar", "components/flink/flinkKafka.jar"]	Classpath of model (jars that will be used for execution of scenarios)
DEFAULT_SCENARIO_TYPE	string	streaming	Default scenario type. It determines both available components and the way how scenarios are executed. To read more see Scenario type and categories paragraph. Available options are: streaming, streaming-lite-embedded, request-response-embedded
PROMETHEUS_METRICS_PORT	int		When defined, JMX MBeans are exposed as Prometheus metrics on this port
PROMETHEUS_AGENT_CONFIG_FILE	int	$NUSSKNACKER_DIR/conf/jmx_prometheus.yaml	Default configuration for JMX Prometheus agent. Used only when agent is enabled. See PROMETHEUS_METRICS_PORT

OAuth2 environment variables

Variable name	Type	Default value
OAUTH2_CLIENT_SECRET	string
OAUTH2_CLIENT_ID	string
OAUTH2_AUTHORIZE_URI	string
OAUTH2_REDIRECT_URI	string
OAUTH2_ACCESS_TOKEN_URI	string
OAUTH2_PROFILE_URI	string
OAUTH2_PROFILE_FORMAT	string
OAUTH2_IMPLICIT_GRANT_ENABLED	boolean
OAUTH2_ACCESS_TOKEN_IS_JWT	boolean	false
OAUTH2_USERINFO_FROM_ID_TOKEN	string	false
OAUTH2_JWT_AUTH_SERVER_PUBLIC_KEY	string
OAUTH2_JWT_AUTH_SERVER_PUBLIC_KEY_FILE	string
OAUTH2_JWT_AUTH_SERVER_CERTIFICATE	string
OAUTH2_JWT_AUTH_SERVER_CERTIFICATE_FILE	string
OAUTH2_JWT_ID_TOKEN_NONCE_VERIFICATION_REQUIRED	string
OAUTH2_GRANT_TYPE	string	authorization_code
OAUTH2_RESPONSE_TYPE	string	code
OAUTH2_SCOPE	string	read:user
OAUTH2_AUDIENCE	string
OAUTH2_USERNAME_CLAIM	string

Binary package installation

Released versions are available at GitHub.

Please note, that while you can install Designer from .tgz with Lite engine configured, you still need configured Kubernetes cluster to actually run scenarios in this mode - we recommend using Helm installation for that mode.

Prerequisites

We assume that java (recommended version is JDK 11) is on path.

Please note that default environment variable configuration assumes that Flink, InfluxDB, Kafka and Schema registry are running on localhost with their default ports configured. See environment variables section for the details. Also, GRAFANA_URL is set to /grafana, which assumes that reverse proxy like NGINX is used to access both Designer and Grafana. For other setups you should change this value to absolute Grafana URL.

WORKING_DIR environment variable is used as base place where Nussknacker stores its data such as:

• logs
• embedded database files
• scenario attachments

Startup script

We provide following scripts:

• run.sh - to run in foreground, it's also suitable to use it for systemd service
• run-daemonized.sh - to run in background, we are using nussknacker-designer.pid to store PID of running process

File structure

Location	Usage in configuration	Description
$NUSSKNACKER_DIR/storage	Configured by STORAGE_DIR property	Location of HSQLDB database
$NUSSKNACKER_DIR/logs		Location of logs
$NUSSKNACKER_DIR/conf/application.conf	Configured by CONFIG_FILE property	Location of Nussknacker configuration. Can be overwritten or used next to other custom configuration. See Configuration document for details
$NUSSKNACKER_DIR/conf/logback.xml	Configured by LOGBACK_FILE property in standalone setup	Location of logging configuration. Can be overwritten to specify other logger logging levels
$NUSSKNACKER_DIR/conf/docker-logback.xml	Configured by LOGBACK_FILE property in docker setup	Location of logging configuration. Can be overwritten to specify other logger logging levels
$NUSSKNACKER_DIR/conf/users.conf	Configured by AUTHENTICATION_USERS_FILE property	Location of Nussknacker Component Providers
$NUSSKNACKER_DIR/model/defaultModel.jar	Used in MODEL_CLASS_PATH property	JAR with generic model (base components library)
$NUSSKNACKER_DIR/model/flinkExecutor.jar	Used in MODEL_CLASS_PATH property	JAR with Flink executor, used by scenarios running on Flink
$NUSSKNACKER_DIR/components	Can be used in MODEL_CLASS_PATH property	Directory with Nussknacker Component Provider JARS
$NUSSKNACKER_DIR/lib		Directory with Nussknacker base libraries
$NUSSKNACKER_DIR/managers		Directory with Nussknacker Deployment Managers

Logging

We use Logback for logging configuration. By default, the logs are placed in ${NUSSKNACKER_DIR}/logs, with sensible rollback configuration.
Please remember that these are logs of Nussknacker Designer, to see/configure logs of other components (e.g. Flink) please consult their documentation.

Systemd service

You can set up Nussknacker as a systemd service using our example unit file.

1. Download distribution as described in [Binary package installation](Installation.md#Binary package installation)
2. Unzip it to /opt/nussknacker
3. sudo touch /lib/systemd/system/nussknacker.service
4. edit /lib/systemd/system/nussknacker.service file and add write content of Systemd unit file
5. sudo systemctl daemon-reload
6. sudo systemctl enable nussknacker.service
7. sudo systemctl start nussknacker.service

You can check Nussknacker logs with sudo journalctl -u nussknacker.service command.

Sample systemd-unit-file

[Unit]
Description=Nussknacker

StartLimitBurst=5
StartLimitIntervalSec=600

[Service]
SyslogIdentifier=%N

WorkingDirectory=/opt/nussknacker
ExecStart=/opt/nussknacker/bin/run.sh
RuntimeDirectory=%N
RuntimeDirectoryPreserve=restart

SuccessExitStatus=143
Restart=always
RestartSec=60

[Install]
WantedBy=default.target

Configuring the Designer with Nginx-http-public-path

Sample nginx proxy configuration serving Nussknacker Designer UI under specified my-custom-path path. It assumes Nussknacker itself is available under http://designer:8080 Don't forget to specify HTTP_PUBLIC_PATH=/my-custom-path environment variable in Nussknacker Designer.

http {
  server {
    location / {
      proxy_pass http://designer:8080;
    }
    location /my-custom-path/ {
      rewrite           ^/my-custom-path/?(.*) /$1;
    }
  }
}

Configuration of additional applications

Typical Nussknacker deployment includes Nussknacker Designer and a few additional applications:

Some of them need to be configured properly to be fully integrated with Nussknacker.

The quickstart contains docker-compose based sample installation of all needed applications (and a few more that are needed for the demo).

If you want to install them from the scratch or use already installed at your organisation pay attention to:

• Metrics setup (please see quickstart for reference):
  • Configuration of metric reporter in Flink setup
  • Telegraf's configuration - some metric tags and names need to be cleaned
  • Importing scenario dashboard to Grafana configuration
• Flink savepoint configuration. To be able to use scenario verification (see shouldVerifyBeforeDeploy property in Deployment Manager documentation) you have to make sure that savepoint location is available from Nussknacker designer (e.g. via NFS like in quickstart setup)