Zendesk Source Connector for Confluent Platform¶

Zendesk Support is a system for tracking, prioritizing, and solving customer support tickets. The Kafka Connect Zendesk Source connector copies data into Apache Kafka® from various Zendesk support tables such as tickets, ticket_audits, ticket_fields, groups, organizations, satisfaction_ratings, and others, using the Zendesk Support API. Please find the list of supported Zendesk tables in the supported tables section.

Features¶

The Zendesk Source connector offers the following features:

At least once delivery
Supports one task
Quick turnaround
Schema detection and evolution
Real-time and historical lookup
Automatic retries
Intelligent backoffs
Resource balance and throughput

At least once delivery¶

The connector guarantees no loss of messages from Zendesk to Kafka. Messages may be reprocessed because of task failure or API limits, which may cause duplication.

Supports one task¶

The Zendesk Source connector supports running only one task.

Quick turnaround¶

The Zendesk connector ensures that data between your Zendesk Tables and corresponding Kafka topics are synced quickly, without unnecessary lag. The poll frequency on each table has been specifically configured based on the size of the table, so that larger and more dynamic tables, like Tickets, are polled more frequently than the static tables like Organizations.

Schema detection and evolution¶

The connector supports automatic schema detection and backward compatible schema evolution for all supported tables.

Real-time and historical lookup¶

The connector supports fetching all the past historical records for all tables. It can also be configured to pull in data from only a specified time in the past (see configuration property zendesk.since).

Automatic retries¶

In case of a connection error between the API server and Kafka Connect, the connector may receive a not OK response from the API server or no response at all. In such cases, the connector can be made robust using the automatic retry mechanism with linear backoff using configuration properties max.retries and retry.backoff.ms.

Intelligent backoffs¶

If there are too many requests because of support API rate limits, the connector intelligently spaces out the HTTP fetch operations to ensure a smooth balance between recency, API limits, and back pressure.

Resource balance and throughput¶

Different resources with Zendesk could have different rates of creation and updation. Such resources can be balanced among the workers, with reduced hot-spotting, by keeping the resources in configuration zendesk.tables sorted by the order of their expected cardinality. Also, the task.max, max.in.flight.requests, and max.batch.size configuration properties can be used to improve overall throughput.

Supported Tables¶

The following tables from Zendesk are supported in this version of Kafka Connect Zendesk Source connector: custom_roles, groups, group_memberships, organizations, organization_subscriptions, organization_memberships, satisfaction_ratings, tickets, ticket_audits, ticket_fields, ticket_metrics, and users.

Limitations¶

For Schema Registry-based output formats, the connector tries to deduce the schema based on the source API response returned. The connector registers a new schema for every NULL and NOT NULL value of an optional field in the API response. For this reason, the connector may register schema versions at a much higher rate than expected.

License¶

You can use this connector for a 30-day trial period without a license key.

After 30 days, you must purchase a connector subscription which includes Confluent enterprise license keys to subscribers, along with enterprise-level support for Confluent Platform and your connectors. If you are a subscriber, you can contact Confluent Support at support@confluent.io for more information.

For license properties, see Confluent Platform license and for information about the license topic, see License topic configuration.

Configuration Properties¶

For a complete list of configuration properties for this connector, see Zendesk Source Connector Configuration Properties.

Note

For an example of how to get Kafka Connect connected to Confluent Cloud, see Distributed Cluster.

Install the Zendesk Source Connector¶

You can install this connector by using the Confluent Hub client installatiion instructions or by manually downloading the ZIP file.

Prerequisites¶

Note

You must install the connector on every machine where Connect will run.

Kafka Broker: Confluent Platform 3.3.0 or later, or Kafka 0.11.0 or later.
Kafka Connect: Confluent Platform 4.1.0 or later, or Kafka 1.1.0 or later.
Java 1.8.
Zendesk Developer Account.
Zendesk account type: Certain tables, such as custom_roles, can only be accessed if the Zendesk account is an Enterprise account. For more details, see Custom Agent Roles.
Zendesk API: Support APIs should be enabled for the Zendesk account. Also, either oauth2 or password mechanism should be enabled in the Zendesk account. For more information, see Using the API dashboard: Enabling password or token access.
Zendesk settings: Some settings may need to be enabled to ensure export is possible. Example, satisfaction_ratings can only be exported if it is enabled. For more details, see Support API: Satisfaction Ratings.
Because every table requires a different role to be fetched by the connector, Confluent recommends you check the Zendesk API for the role required to use this connector.
An installation of the Confluent Hub Client. This is installed by default with Confluent Enterprise.
An installation of the latest (latest) connector version.

To install the latest connector version, navigate to your Confluent Platform installation directory and run the following command:
```
confluent-hub install confluentinc/kafka-connect-zendesk:latest
```
You can install a specific version by replacing latest with a version number as shown in the following example:
```
confluent-hub install confluentinc/kafka-connect-zendesk:1.0.1
```

Install the connector manually¶

Download and extract the ZIP file for your connector and then follow the manual connector installation instructions.

Quick Start¶

In this quick start guide, the Zendesk Connector is used to consume records from a Zendesk resource called tickets and send the records to a Kafka topic named ZD_tickets.

Install the connector through the Confluent Hub Client.

# run from your confluent platform installation directory
confluent-hub install confluentinc/kafka-connect-zendesk:latest

Start the Confluent Platform.
```
confluent local services start
```
Check the status of all services.
```
confluent local services status
```

Configure your connector by first creating a JSON file named zendesk.json with the following properties.

// substitute <> with your config
{
    "name": "ZendeskConnector",
    "config": {
        "connector.class": "io.confluent.connect.zendesk.ZendeskSourceConnector",
        "key.converter": "org.apache.kafka.connect.storage.StringConverter",
        "value.converter": "org.apache.kafka.connect.json.JsonConverter",
        "value.converter.schemas.enable": "false",
        "confluent.topic.bootstrap.servers": "127.0.0.1:9092",
        "confluent.topic.replication.factor": 1,
        "confluent.license": "<license>", // leave it empty for evaluation license
        "tasks.max": 1,
        "poll.interval.ms": 1000,
        "topic.name.pattern": "ZD_${entityName}",
        "zendesk.auth.type": "basic",
        "zendesk.url": "https://<sub-domain>.zendesk.com",
        "zendesk.user": "<username>",
        "zendesk.password": "<password>",
        "zendesk.tables": "tickets",
        "zendesk.since": "2019-08-01"
    }
}

Start the Zendesk Source connector by loading the connector’s configuration with the following command:
```
confluent local services connect connector load zendesk --config zendesk.json
```

Confirm that the connector is in a RUNNING state.

confluent local services connect connector status ZendeskConnector

Create one ticket record using Zendesk API as follows.

curl https://{subdomain}.zendesk.com/api/v2/tickets.json \
  -d '{"ticket": {"subject": "My printer is on fire!", "comment": { "body": "The smoke is very colorful." }}}' \
  -H "Content-Type: application/json" -v -u {email_address}:{password} -X POST

Confirm the messages were delivered to the ZD_tickets topic in Kafka. Note, it may take a minute before the record populates the topic.
```
confluent local services kafka consume ZD_tickets --from-beginning
```