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21 lines
733 B
Python
21 lines
733 B
Python
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from pyflink.datastream import StreamExecutionEnvironment
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from pyflink.datastream.connectors.kafka import FlinkKafkaConsumer
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from pyflink.common.serialization import SimpleStringSchema
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import json
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def detect_anomalies(transaction):
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transaction_data = json.loads(transaction)
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# Add anomaly detection logic here
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return transaction_data
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env = StreamExecutionEnvironment.get_execution_environment()
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kafka_consumer = FlinkKafkaConsumer(
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topics='transactions',
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deserialization_schema=SimpleStringSchema(),
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properties={'bootstrap.servers': 'localhost:9092', 'group.id': 'anomaly_detection'}
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)
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data_stream = env.add_source(kafka_consumer).map(detect_anomalies)
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data_stream.print()
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env.execute("Anomaly Detection")
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