Lakehouse Admin
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39 lines
1013 B
Python
39 lines
1013 B
Python
from kafka import KafkaConsumer
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import boto3
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import json
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from datetime import datetime
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KAFKA_BROKER = "10.0.21.36:9092"
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KAFKA_TOPIC = "test-lakehouse"
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S3_ENDPOINT = "http://10.0.20.111:9020"
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S3_BUCKET = "data"
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S3_ACCESS_KEY = "REDACTED"
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S3_SECRET_KEY = "REDACTED"
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print("Starting consumer...")
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print(f"Kafka: {KAFKA_BROKER}, Topic: {KAFKA_TOPIC}")
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print(f"S3: {S3_ENDPOINT}, Bucket: {S3_BUCKET}")
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s3 = boto3.client(
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's3',
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endpoint_url=S3_ENDPOINT,
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aws_access_key_id=S3_ACCESS_KEY,
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aws_secret_access_key=S3_SECRET_KEY,
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use_ssl=False,
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verify=False
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)
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consumer = KafkaConsumer(
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KAFKA_TOPIC,
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bootstrap_servers=[KAFKA_BROKER],
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auto_offset_reset='earliest',
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value_deserializer=lambda x: json.loads(x.decode('utf-8'))
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)
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print("Waiting for messages...")
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for msg in consumer:
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ts = datetime.now().strftime('%Y%m%d_%H%M%S_%f')
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key = f"kafka/{KAFKA_TOPIC}/msg_{ts}.json"
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s3.put_object(Bucket=S3_BUCKET, Key=key, Body=json.dumps(msg.value))
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print(f"Written: {key}")
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