# ⚡ DataHub Actions Framework Welcome to DataHub Actions! The Actions framework makes responding to realtime changes in your Metadata Graph easy, enabling you to seamlessly integrate [DataHub](https://github.com/datahub-project/datahub) into a broader events-based architecture. For a detailed introduction, check out the [original announcement](https://www.youtube.com/watch?v=7iwNxHgqxtg&t=2189s) of the DataHub Actions Framework at the DataHub April 2022 Town Hall. For a more in-depth look at use cases and concepts, check out [DataHub Actions Concepts](concepts.md). ## Quickstart To get started right away, check out the [DataHub Actions Quickstart](quickstart.md) Guide. ## Prerequisites The DataHub Actions CLI commands are an extension of the base `datahub` CLI commands. We recommend first installing the `datahub` CLI: ```shell python3 -m pip install --upgrade pip wheel setuptools python3 -m pip install --upgrade acryl-datahub datahub --version ``` > Note that the Actions Framework requires a version of `acryl-datahub` >= v0.8.34 ## Installation Next, simply install the `acryl-datahub-actions` package from PyPi: ```shell python3 -m pip install --upgrade pip wheel setuptools python3 -m pip install --upgrade acryl-datahub-actions datahub actions version ``` ## Configuring an Action Actions are configured using a YAML file, much in the same way DataHub ingestion sources are. An action configuration file consists of the following 1. Action Pipeline Name (Should be unique and static) 2. Source Configurations 3. Transform + Filter Configurations 4. Action Configuration 5. Pipeline Options (Optional) 6. DataHub API configs (Optional - required for select actions) With each component being independently pluggable and configurable. ```yml # 1. Required: Action Pipeline Name name: # 2. Required: Event Source - Where to source event from. source: type: config: # Event Source specific configs (map) # 3a. Optional: Filter to run on events (map) filter: event_type: event: # Filter event fields by exact-match # 3b. Optional: Custom Transformers to run on events (array) transform: - type: config: # Transformer-specific configs (map) # 4. Required: Action - What action to take on events. action: type: config: # Action-specific configs (map) # 5. Optional: Additional pipeline options (error handling, etc) options: retry_count: 0 # The number of times to retry an Action with the same event. (If an exception is thrown). 0 by default. failure_mode: "CONTINUE" # What to do when an event fails to be processed. Either 'CONTINUE' to make progress or 'THROW' to stop the pipeline. Either way, the failed event will be logged to a failed_events.log file. failed_events_dir: "/tmp/datahub/actions" # The directory in which to write a failed_events.log file that tracks events which fail to be processed. Defaults to "/tmp/logs/datahub/actions". # 6. Optional: DataHub API configuration datahub: server: "http://localhost:8080" # Location of DataHub API # token: # Required if Metadata Service Auth enabled ``` ### Example: Hello World An simple configuration file for a "Hello World" action, which simply prints all events it receives, is ```yml # 1. Action Pipeline Name name: "hello_world" # 2. Event Source: Where to source event from. source: type: "kafka" config: connection: bootstrap: ${KAFKA_BOOTSTRAP_SERVER:-localhost:9092} schema_registry_url: ${SCHEMA_REGISTRY_URL:-http://localhost:8081} # 3. Action: What action to take on events. action: type: "hello_world" ``` We can modify this configuration further to filter for specific events, by adding a "filter" block. ```yml # 1. Action Pipeline Name name: "hello_world" # 2. Event Source - Where to source event from. source: type: "kafka" config: connection: bootstrap: ${KAFKA_BOOTSTRAP_SERVER:-localhost:9092} schema_registry_url: ${SCHEMA_REGISTRY_URL:-http://localhost:8081} # 3. Filter - Filter events that reach the Action filter: event_type: "EntityChangeEvent_v1" event: category: "TAG" operation: "ADD" modifier: "urn:li:tag:pii" # 4. Action - What action to take on events. action: type: "hello_world" ``` ## Running an Action To run a new Action, just use the `actions` CLI command ``` datahub actions -c ``` Once the Action is running, you will see ``` Action Pipeline with name '' is now running. ``` ### Running multiple Actions You can run multiple actions pipeline within the same command. Simply provide multiple config files by restating the "-c" command line argument. For example, ``` datahub actions -c -c ``` ### Running in debug mode Simply append the `--debug` flag to the CLI to run your action in debug mode. NOTE: This will reveal sensitive information in the logs, do not share the logs with outside resources and ensure untrusted users will not have access to logs through UI ingestions before enabling on instances. ``` datahub actions -c --debug ``` ### Stopping an Action Just issue a Control-C as usual. You should see the Actions Pipeline shut down gracefully, with a small summary of processing results. ``` Actions Pipeline with name '