Zendesk Source Connector for Confluent Platform¶
Note
If you are using Confluent Cloud, see Zendesk Source Connector for Confluent Cloud for the cloud Quick Start.
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
.
Prerequisites¶
The following are required to run the Kafka Connect Zendesk Source connector:
- Kafka Broker: Confluent Platform 3.3.0 or above, or Kafka 0.11.0 or above
- Kafka Connect: Confluent Platform 4.1.0 or above, or Kafka 1.1.0 or above
- Java 1.8
- Zendesk API: Support APIs should be enabled for the Zendesk account. Also either
oauth2
orpassword
mechanism should be enabled in the Zendesk account. For information, look at Using the API dashboard: Enabling password or token access. - Zendesk account type: Certain tables, such as
custom_roles
, can only be accessed if Zendesk Account is anEnterprise
account. Refer Custom Agent Roles. - 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. Refer to Support API: Satisfaction Ratings.
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.
An installation of the Confluent Hub Client.
Note
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.
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.
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, please contact Confluent Support at support@confluent.io for more information.
See Confluent Platform license for license properties and License topic configuration for information about the license topic.
Quick Start¶
Prerequisites¶
Getting started¶
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.
Tip
The command syntax for the Confluent CLI development commands changed in 5.3.0. These commands have been moved to
confluent local
. For example, the syntax forconfluent start
is nowconfluent local services start
. For more information, see confluent local.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