Deploying the Kafka to ADLS Avro ReadyFlow

Learn how to use the Deployment wizard to deploy the Kafka to ADLS Avro ReadyFlow using the information you collected using the prerequisites check list.

The CDF Catalog is where you manage the flow definition lifecycle, from initial import, to versioning, to deploying a flow definition.

In DataFlow, from the left navigation pane, click Catalog.
Flow definitions available for you to deploy are displayed, one definition per row.
Launch the Deployment wizard.
1. Click the row to display the flow definition details and versions.
2. Click a row representing a flow definition version to display flow definition version details and the Deploy button.
3. Click Deploy to launch the Deployment wizard.
Select the environment to which you want to deploy this version of your flow definition, and click Continue.

note
Only environments which have been enabled for DataFlow, are in a healthy state, and to which you have access display in the dropdown. Once you have selected the target environment, you cannot change it later in the flow deployment process without starting over.
In the Overview, give your flow deployment a unique name.

You can use this name to distinguish between different versions of a flow definition, flow definitions deployed to different environments, and similar.

note
Flow Deployment names need to be unique. The Deployment wizard indicates whether a name is valid by displaying a green check below the Deployment Name text box.
In NiFi Configuration:
1. Select a NiFi Runtime Version for your flow deployment. Cloudera recommends that you always use the latest available version, if possible.
2. Autostart Behavior is on by default, allowing your flow to start automatically after successful deployment. You can clear selection if you do not want the automatic start.
In Parameters, specify parameter values like connection strings, usernames and similar, and upload files like truststores, and similar.

For parameters specific to this ReadyFlow, see the Example with the configuration parameters table below.
Specify your Sizing & Scaling configurations.
NiFi node sizing

You can adjust the size of your cluster from Extra Small to Large

Number of NiFi nodes
- You can set whether you want to automatically scale your cluster depending on resource demands. When you enable autoscaling, the minimum NiFi nodes are used for initial size and the workload scales up or down depending on resource demands.
- You can set the number of nodes from 1 to 32.
note
Flow deployments scale horizontally by adding or removing more NiFi nodes to a deployment. Deployments do not scale vertically and the node size cannot be changed for running deployments.
In Key Performance Indicators, you can set up your metrics system with specific KPIs to track the performance of a deployed flow. You can also define when and how to receive alerts about the KPI metrics tracking.

tip
You can reorder the KPIs by dragging them up or down the list. The order you configure here will be reflected in the detailed monitoring view of the resulting deployment.

See Working with KPIs for more information about the KPIs available and how you can monitor them.
Review the summary of the information you provided in the Deployment wizard and make any necessary edits by clicking Previous. When you are finished, complete your flow deployment by clicking Deploy.

Once you click Deploy, you are redirected to the Alerts tab in the Flow Deployment Detail view where you can track its progress.

For the Kafka to ADLS Avro Readyflow, the following parameters are required. Use the information you collected in the Meeting the prerequisites section.


Kafka to ADLS Avro ReadyFlow configuration parameters
Parameter Name	Description	Example
ADLS File System	Specify the name of the ADLS data container you want to write to.	The full path will be constructed from: abfs://{ADLS File System}@#{ADLS Storage Account}.dfs.core.windows.net/#{ADLS Path}/${Kafka.topic}
ADLS Path	Specify the path within the ADLS data container where you want to write to without any leading characters.	The full path will be constructed from: abfs://{ADLS File System}@#{ADLS Storage Account}.dfs.core.windows.net/#{ADLS Path}/${Kafka.topic}
ADLS Storage Account	Specify the storage account name you want to write to.	The full ADLS data container path will be constructed from: abfs://{ADLS File System}@#{ADLS Storage Account}.dfs.core.windows.net/#{ADLS Path}/${Kafka.topic}
CDP Workload User	Specify the CDP machine user or workload username that you want to use to authenticate to Kafka and the object store. Ensure this user has the appropriate access rights in Ranger for the Kafka topic and Ranger or IDBroker for object store access.
CDP Workload User Password	Specify the password of the CDP machine user or workload user you are using to authenticate against Kafka and the object store.
CSV Delimiter	If your source data is CSV, specify the delimiter here.
Data Input Format	Specify the format of your input data.	CSV JSON AVRO
Kafka Broker Endpoint	Specify the Kafka bootstrap servers string as a comma separated list.
Kafka Consumer Group ID	The name of the consumer group used for the source topic you are consuming from.
Kafka Source Topic	Specify a topic name that you want to read from.
Schema Name	Specify the schema name to be looked up in the Schema Registry for the source Kafka topic.
Schema Registry Hostname	Specify the hostname of the Schema Registry you want to connect to. This must be the direct hostname of the Schema Registry itself, not the Knox Endpoint.