word-count-kafka.py

'''
To stream from Kafka, please refer to the streamz API here: https://streamz.readthedocs.io/en/latest/api.html#sources 

You can refer to https://kafka.apache.org/quickstart to start a local Kafka cluster.

Below is an example snippet to start a stream from Kafka.
'''
from custreamz import kafka

# Kafka topic to read streaming data from
topic = "word-count"

# Kafka brokers
bootstrap_servers = 'localhost:9092'

# Kafka consumer configuration
consumer_conf = {'bootstrap.servers': bootstrap_servers,
                 'group.id': 'custreamz',
                 'session.timeout.ms': 60000}

'''
If you changed Dask=True, please ensure you have a Dask cluster up and running. Refer to this for Dask API: https://docs.dask.org/en/latest/
If the input data is high throughput, we recommend using Dask, and starting appropriate number of Dask workers.
In case of high-throughput processing jobs, please set appropriate number of Kafka topic partitions to ensure parallelism.
To leverage the custreamz' accelerated Kafka reader (note that data in Kafka must be JSON format), use engine="cudf".
'''
source = Stream.from_kafka_batched(topic, consumer_conf, npartitions=1, poll_interval='10s',
                                   asynchronous=True, dask=False, engine="cudf")