Create pyFlink DataStream Consumer from Tweets Kafka Producer in Python

Question

I want to create I stream kafka consumer in pyFlink, which can read tweets data after deserialization (json), I have pyflink version 1.14.4 (last version)

Can I have an example of kafka producer and a simple code of flink consumer for stream in python?

Answer 1

Here is an example given in PyFlink examples which shows how to read json data from Kafka consumer in PyFlink DataStream API:

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import logging
import sys

from pyflink.common import Types, JsonRowDeserializationSchema, JsonRowSerializationSchema
from pyflink.datastream import StreamExecutionEnvironment
from pyflink.datastream.connectors import FlinkKafkaProducer, FlinkKafkaConsumer


# Make sure that the Kafka cluster is started and the topic 'test_json_topic' is
# created before executing this job.
def write_to_kafka(env):
    type_info = Types.ROW([Types.INT(), Types.STRING()])
    ds = env.from_collection(
        [(1, 'hi'), (2, 'hello'), (3, 'hi'), (4, 'hello'), (5, 'hi'), (6, 'hello'), (6, 'hello')],
        type_info=type_info)

    serialization_schema = JsonRowSerializationSchema.Builder() \
        .with_type_info(type_info) \
        .build()
    kafka_producer = FlinkKafkaProducer(
        topic='test_json_topic',
        serialization_schema=serialization_schema,
        producer_config={'bootstrap.servers': 'localhost:9092', 'group.id': 'test_group'}
    )

    # note that the output type of ds must be RowTypeInfo
    ds.add_sink(kafka_producer)
    env.execute()


def read_from_kafka(env):
    deserialization_schema = JsonRowDeserializationSchema.Builder() \
        .type_info(Types.ROW([Types.INT(), Types.STRING()])) \
        .build()
    kafka_consumer = FlinkKafkaConsumer(
        topics='test_json_topic',
        deserialization_schema=deserialization_schema,
        properties={'bootstrap.servers': 'localhost:9092', 'group.id': 'test_group_1'}
    )
    kafka_consumer.set_start_from_earliest()

    env.add_source(kafka_consumer).print()
    env.execute()


if __name__ == '__main__':
    logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(message)s")

    env = StreamExecutionEnvironment.get_execution_environment()
    env.add_jars("file:///path/to/flink-sql-connector-kafka-1.15.0.jar")

    print("start writing data to kafka")
    write_to_kafka(env)

    print("start reading data from kafka")
    read_from_kafka(env)