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47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
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import logging
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from typing import Union
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from datahub.configuration.kafka import KafkaProducerConnectionConfig
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from datahub.emitter.kafka_emitter import DatahubKafkaEmitter, KafkaEmitterConfig
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from datahub.emitter.mce_builder import make_dataset_urn
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from datahub.emitter.rest_emitter import DataHubRestEmitter
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from datahub.specific.dataset import DatasetPatchBuilder
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log = logging.getLogger(__name__)
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logging.basicConfig(level=logging.INFO)
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# Get an emitter, either REST or Kafka, this example shows you both
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def get_emitter() -> Union[DataHubRestEmitter, DatahubKafkaEmitter]:
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USE_REST_EMITTER = True
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if USE_REST_EMITTER:
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gms_endpoint = "http://localhost:8080"
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return DataHubRestEmitter(gms_server=gms_endpoint)
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else:
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kafka_server = "localhost:9092"
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schema_registry_url = "http://localhost:8081"
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return DatahubKafkaEmitter(
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config=KafkaEmitterConfig(
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connection=KafkaProducerConnectionConfig(
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bootstrap=kafka_server, schema_registry_url=schema_registry_url
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)
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)
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)
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dataset_urn = make_dataset_urn(platform="hive", name="fct_users_created", env="PROD")
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with get_emitter() as emitter:
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for patch_mcp in (
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DatasetPatchBuilder(dataset_urn)
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.add_custom_property("cluster_name", "datahubproject.acryl.io")
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.remove_custom_property("retention_time")
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.build()
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):
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emitter.emit(patch_mcp)
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log.info(
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f"Added cluster_name property, removed retention_time property from dataset {dataset_urn}"
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)
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