streamsx.kafka

Overview

Provides functions to read messages from Kafka brokers including the IBM Event Streams cloud service as a stream and submit tuples to Kafka brokers as messages.

The broker configuration must be done with properties in an application configuration or by using a dictionary variable. The minimum set of properties must contain the bootstrap.servers configuration, which is valid for both consumers and producers, i.e. for the KafkaConsumer and KafkaProducer classes.

It is also possible to use different application configurations for consumer and producer when special consumer or producer configs must be used.

Sample

A simple hello world example of a Streams application publishing to a topic and the same application consuming the same topic:

from streamsx.topology.topology import Topology
from streamsx.topology.schema import CommonSchema
from streamsx.topology.context import submit, ContextTypes
from streamsx.kafka import KafkaConsumer, KafkaProducer
import time

def delay(v):
    time.sleep(5.0)
    return True

topology = Topology('KafkaHelloWorld')

to_kafka = topology.source(['Hello', 'World!'])
to_kafka = to_kafka.as_string()
# delay tuple by tuple
to_kafka = to_kafka.filter(delay)

# Publish a stream to Kafka using TEST topic, the Kafka server is at localhost
producer = KafkaProducer(config={'bootstrap.servers': 'localhost:9092'},
                         topic='TEST')
to_kafka.for_each(producer)

# Subscribe to same topic as a stream
consumer = KafkaConsumer(config={'bootstrap.servers': 'localhost:9092'},
                         schema=CommonSchema.String,
                         topic='TEST')
from_kafka = topology.source(consumer)

# You'll find the Hello World! in stdout log file:
from_kafka.print()

submit(ContextTypes.DISTRIBUTED, topology)
# The Streams job is kept running.

Documentation

streamsx.kafka package documentation

Release files for streamsx.kafka 1.10.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for streamsx.kafka 1.10.2
File	Size	Uploaded
streamsx.kafka-1.10.2.tar.gz	26.6 kB	Dec 7, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for streamsx.kafka 1.10.2
File	Interpreter	ABI	Platform	Reset
streamsx.kafka-1.10.2-py2.py3-none-any.whl 29.3 kB Dec 7, 2020	Python 2, Python 3	none	any	Details

Total release size: 55.9 kB

Release files / streamsx.kafka-1.10.2.tar.gz

Download URL	streamsx.kafka-1.10.2.tar.gz
Size	26.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`89ba7ab8d58e605fd8be03149b060b73c9ee6925e856229259cba704bba8136a`
BLAKE2b-256 checksum How to use checksums	`f9f2a5a5cdf7c470b76d4759018698a6d8b27cb89e83d4804af403fbd30b1907`
Upload date	Dec 7, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`Python-urllib/3.6`

Release files / streamsx.kafka-1.10.2-py2.py3-none-any.whl

Download URL	streamsx.kafka-1.10.2-py2.py3-none-any.whl
Size	29.3 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`5d4af53154be844010172d5c28387e92a8aab85f234eb164f9328405333bf78e`
BLAKE2b-256 checksum How to use checksums	`65023883b80e7920bb9d220656f94ea3406f62d9722de7ee7a3f4dc1b6452b5e`
Upload date	Dec 7, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`Python-urllib/3.6`