
As the cdc_kafka_producer script is an example, it should flush the producer after every new record. This should make it easier to see that events from MaxScale are sent to Kafka.
61 lines
1.7 KiB
Python
Executable File
61 lines
1.7 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright (c) 2016 MariaDB Corporation Ab
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#
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# Use of this software is governed by the Business Source License included
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# in the LICENSE.TXT file and at www.mariadb.com/bsl.
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#
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# Change Date: 2019-01-01
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#
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# On the date above, in accordance with the Business Source License, use
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# of this software will be governed by version 2 or later of the General
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# Public License.
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# This program requires the kafka-python package which you can install with:
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#
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# pip install kafka-python
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#
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import json
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import sys
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import argparse
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from kafka import KafkaProducer
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parser = argparse.ArgumentParser(description = "Publish JSON data read from standard input to a Kafka broker")
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parser.add_argument("-K", "--kafka-broker", dest="kafka_broker",
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help="Kafka broker in host:port format",
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default=None, required=True)
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parser.add_argument("-T", "--kafka-topic", dest="kafka_topic",
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help="Kafka topic where the data is published",
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default=None, required=True)
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opts = parser.parse_args(sys.argv[1:])
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decoder = json.JSONDecoder()
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rbuf = bytes()
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producer = KafkaProducer(bootstrap_servers=[opts.kafka_broker])
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while True:
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try:
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buf = sys.stdin.readline()
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if len(buf) == 0:
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break
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rbuf += buf.encode()
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while True:
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rbuf = rbuf.lstrip()
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data = decoder.raw_decode(rbuf.decode('ascii'))
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rbuf = rbuf[data[1]:]
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producer.send(topic=opts.kafka_topic, value=json.dumps(data[0]).encode())
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producer.flush()
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# JSONDecoder will return a ValueError if a partial JSON object is read
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except ValueError as err:
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pass
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# All other errors should interrupt the processing
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except Exception as ex:
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print(ex)
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break
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