kafka-connect-py 0.4.0

A client for the Confluent Platform Kafka Connect REST API.

Kafka Connect Python

The Kafka Connect REST API allows you to manage connectors that move data between Apache Kafka and other systems.

The Kafka Connect command line tool, also known as kc or kafka-connect, allows users to manage their Kafka Connect cluster and connectors. With this tool, users can retrieve information about the cluster and connectors, create new connectors, update existing connectors, delete connectors, and perform other actions.

This project aims to supported all features of the Kafka Connect REST API.

Install

pip install kafka-connect-py

Command Line Usage

Get the version and other details of the Kafka Connect cluster.

kc info

Get a list of active connectors.

kc list [--expand=status|info]

Get the details of a single connector.

kc get <connector>

Get the status of a connector.

kc status <connector>

Get the config of a connector.

kc config <connector>

Create a new connector.

kc create --config-file <config-file>

or with inline JSON data.

kc create --config-data <config-data>

Update the configuration for an existing connector.

kc update <connector> --config-file <config_file>

or with inline JSON data.

kc create <connector> --config-data <config-data>

Restart a connector.

kc restart <connector> [--include-tasks] [--only-failed]

Pause a connector.

kc pause <connector>

Resume a connector.

kc resume <connector>

Delete a connector.

kc delete <connector>

Python

# Import the class
from kafka_connect import KafkaConnect

# Instantiate the client
client = KafkaConnect(endpoint="http://localhost:8083")

# Get the version and other details of the Kafka Connect cluster
cluster = client.get_info()
print(cluster)

# Get a list of active connectors
connectors = client.get_connectors()
print(connectors)

# Create a new connector
config = {
    "name": "my-connector",
    "config": {
        "connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector",
        "tasks.max": "1",
        "connection.url": "jdbc:postgresql://localhost:5432/mydatabase",
        "connection.user": "myuser",
        "connection.password": "mypassword",
        "table.whitelist": "mytable",
        "mode": "timestamp+incrementing",
        "timestamp.column.name": "modified_at",
        "validate.non.null": "false",
        "incrementing.column.name": "id",
        "topic.prefix": "my-connector-",
    },
}
response = client.create_connector(config)
print(response)

# Update an existing connector
new_config = {
    "config": {
        "connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector",
        "tasks.max": "1",
        "connection.url": "jdbc:postgresql://localhost:5432/mydatabase",
        "connection.user": "myuser",
        "connection.password": "mypassword",
        "table.whitelist": "mytable",
        "mode": "timestamp+incrementing",
        "timestamp.column.name": "modified_at",
        "validate.non.null": "false",
        "incrementing.column.name": "id",
        "topic.prefix": "my-connector-",
    },
}
response = client.update_connector("my-connector", new_config)
print(response)

# Restart a connector
response = client.restart_connector("my-connector")
print(response)

# Delete a connector
response = client.delete_connector("my-connector")
print(response)

Tests

python3 -m unittest tests/test_kafka_connect.py -v