Can I call the Bluemix message hub service from Python?

Question

The kafka-python client supports Kafka 0.9 but doesn\'t obviously include the new authentication and encryption features so my guess is that it only works with open servers (as

Answer 1

I was able to connect using the kafka-python library:

$ pip install --user kafka-python

Then ...

from kafka import KafkaProducer
from kafka.errors import KafkaError
import ssl

############################################
# Service credentials from Bluemix UI:
############################################
bootstrap_servers =   # kafka_brokers_sasl
sasl_plain_username = # user
sasl_plain_password = # password
############################################

sasl_mechanism = 'PLAIN'
security_protocol = 'SASL_SSL'

# Create a new context using system defaults, disable all but TLS1.2
context = ssl.create_default_context()
context.options &= ssl.OP_NO_TLSv1
context.options &= ssl.OP_NO_TLSv1_1

producer = KafkaProducer(bootstrap_servers = bootstrap_servers,
                         sasl_plain_username = sasl_plain_username,
                         sasl_plain_password = sasl_plain_password,
                         security_protocol = security_protocol,
                         ssl_context = context,
                         sasl_mechanism = sasl_mechanism,
                         api_version=(0,10))

# Asynchronous by default
future = producer.send('my-topic', b'raw_bytes')

# Block for 'synchronous' sends
try:
    record_metadata = future.get(timeout=10)
except KafkaError:
    # Decide what to do if produce request failed...
    log.exception()
    pass

# Successful result returns assigned partition and offset
print (record_metadata.topic)
print (record_metadata.partition)
print (record_metadata.offset)

This worked for me from Bluemix spark as a service from a jupyter notebook, however, note that this approach is not using spark. The code is just running on the driver host.