Create a sink connector from Apache Kafka® to Google Pub/Sub Lite#
The Google Pub/Sub Lite sink connector enables you to push data from an Aiven for Apache Kafka® topic to a Google Pub/Sub Lite topic.
Note
You can check the full set of available parameters and configuration options in the connector’s documentation.
Prerequisites#
To setup an Google Pub/Sub Lite sink connector, you need an Aiven for Apache Kafka service with Kafka Connect enabled or a dedicated Aiven for Apache Kafka Connect cluster.
Furthermore you need to collect the following information about the target Google Pub/Sub Lite upfront:
GCP_PROJECT_NAME
: The GCP project name where the target Google Pub/Sub Lite is locatedGCP_TOPIC
: the name of the target Google Pub/Sub Lite topicGCP_PUBSUB_LOCATION
: the name of the Google Pub/Sub Lite locationKAFKA_TOPIC
: The name of the target topic in Aiven for Apache KafkaAPACHE_KAFKA_HOST
: The hostname of the Apache Kafka service, only needed when using Avro as data formatSCHEMA_REGISTRY_PORT
: The Apache Kafka’s schema registry port, only needed when using Avro as data formatSCHEMA_REGISTRY_USER
: The Apache Kafka’s schema registry username, only needed when using Avro as data formatSCHEMA_REGISTRY_PASSWORD
: The Apache Kafka’s schema registry user password, only needed when using Avro as data format
Note
The SCHEMA_REGISTRY
related parameters are available in the Aiven for Apache Kafka® service page, Overview tab, and Schema Registry subtab
As of version 3.0, Aiven for Apache Kafka no longer supports Confluent Schema Registry. For more information, read the article describing the replacement, Karapace
Setup a Google Pub/Sub Lite sink connector with Aiven Console#
The following example demonstrates how to setup a Google Pub/Sub Lite sink connector for Apache Kafka using the Aiven Console.
Define a Kafka Connect configuration file#
Define the connector configurations in a file (we’ll refer to it with the name pubsub_sink.json
) with the following content:
{
"name":"CONNECTOR_NAME",
"connector.class": "com.google.pubsublite.kafka.sink.PubSubLiteSinkConnector",
"topics": "KAFKA_TOPIC",
"pubsublite.project": "GCP_PROJECT_NAME",
"pubsublite.location": "GCP_PUBSUB_LOCATION",
"pubsublite.topic": "GCP_TOPIC",
"key.converter": "io.confluent.connect.avro.AvroConverter",
"key.converter.schema.registry.url": "https://APACHE_KAFKA_HOST:SCHEMA_REGISTRY_PORT",
"key.converter.basic.auth.credentials.sink": "USER_INFO",
"key.converter.schema.registry.basic.auth.user.info": "SCHEMA_REGISTRY_USER:SCHEMA_REGISTRY_PASSWORD",
"value.converter": "io.confluent.connect.avro.AvroConverter",
"value.converter.schema.registry.url": "https://APACHE_KAFKA_HOST:SCHEMA_REGISTRY_PORT",
"value.converter.basic.auth.credentials.sink": "USER_INFO",
"value.converter.schema.registry.basic.auth.user.info": "SCHEMA_REGISTRY_USER:SCHEMA_REGISTRY_PASSWORD"
}
The configuration file contains the following entries:
name
: the connector nametopics
: the source Apache Kafka topic names, divided by commapubsublite.project
: the GCP project name where the target Google Pub/Sub is locatedpubsublite.location
: the name of the Google Pub/Sub Lite locationpubsublite.topic
: the name of the target Google Pub/Sub topickey.converter
andvalue.converter
: define the message data format in the Apache Kafka topic. Theio.confluent.connect.avro.AvroConverter
converter translates messages from the Avro format. To retrieve the message schema we use Aiven’s Karapace schema registry, as specified by theschema.registry.url
parameter and related credentials.Note
The
key.converter
andvalue.converter
sections are only needed when the sink data is in Avro format. If omitted the messages will be read as binary format.When using Avro as sink data format, you need to set following parameters
value.converter.schema.registry.url
: pointing to the Aiven for Apache Kafka schema registry URL in the form ofhttps://APACHE_KAFKA_HOST:SCHEMA_REGISTRY_PORT
with theAPACHE_KAFKA_HOST
andSCHEMA_REGISTRY_PORT
parameters retrieved in the previous step.value.converter.basic.auth.credentials.sink
: to the valueUSER_INFO
, since you’re going to login to the schema registry using username and password.value.converter.schema.registry.basic.auth.user.info
: passing the required schema registry credentials in the form ofSCHEMA_REGISTRY_USER:SCHEMA_REGISTRY_PASSWORD
with theSCHEMA_REGISTRY_USER
andSCHEMA_REGISTRY_PASSWORD
parameters retrieved in the previous step.
The full list of parameters is available in the dedicated GitHub page.
Create a Kafka Connect connector with the Aiven Console#
To create a Apache Kafka Connect connector, follow these steps:
Log in to the Aiven Console and select the Aiven for Apache Kafka® or Aiven for Apache Kafka Connect® service where the connector needs to be defined.
Select Connectors from the left sidebar.
Select Create New Connector, the button is enabled only for services with Kafka Connect enabled.
Select Google Pub/Sub Lite sink.
In the Common tab, locate the Connector configuration text box and select on Edit.
Paste the connector configuration (stored in the
pubsub_sink.json
file) in the form.Select Apply. .. note:
The Aiven Console parses the configuration file and fills the relevant UI fields. You can review the UI fields across the various tabs and change them if necessary. The changes will be reflected in JSON format in the **Connector configuration** text box.
After all the settings are correctly configured, select Create connector.
Verify the connector status under the Connectors screen.
Verify the presence of the data in the target Pub/Sub Lite topic, the table name is equal to the Apache Kafka topic name.
Note
You can also create connectors using the Aiven CLI command.
Example: Create a Google Pub/Sub sink connector#
You have an Apache Kafka topic iot_metrics
that you want to push to a Google Pub/Sub Lite topic iot_metrics_pubsub
, you can create a sink connector with the following configuration, after replacing the placeholders for GCP_PROJECT_NAME
and GCP_PUBSUB_LOCATION
:
{
"name":"CONNECTOR_NAME",
"connector.class": "com.google.pubsublite.kafka.sink.PubSubLiteSinkConnector",
"topics": "iot_metrics",
"pubsublite.project": "GCP_PROJECT_NAME",
"pubsublite.location": "GCP_PUBSUB_LOCATION",
"pubsublite.topic": "iot_metrics_pubsub",
"gcp.credentials.json": "GCP_SERVICE_KEY"
}