AWS 文档 AWS SDK示例 GitHub 存储库中还有更多SDK示例
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用于 SDK Python 的 Kinesis 示例 (Boto3)
以下代码示例向您展示了如何使用 AWS SDK for Python (Boto3) 与 Kinesis 配合使用来执行操作和实现常见场景。
操作是大型程序的代码摘录,必须在上下文中运行。您可以通过操作了解如何调用单个服务函数,还可以通过函数相关场景的上下文查看操作。
每个示例都包含一个指向完整源代码的链接,您可以在其中找到有关如何在上下文中设置和运行代码的说明。
操作
以下代码示例演示如何使用 CreateStream
。
- SDK适用于 Python (Boto3)
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注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 class KinesisStream: """Encapsulates a Kinesis stream.""" def __init__(self, kinesis_client): """ :param kinesis_client: A Boto3 Kinesis client. """ self.kinesis_client = kinesis_client self.name = None self.details = None self.stream_exists_waiter = kinesis_client.get_waiter("stream_exists") def create(self, name, wait_until_exists=True): """ Creates a stream. :param name: The name of the stream. :param wait_until_exists: When True, waits until the service reports that the stream exists, then queries for its metadata. """ try: self.kinesis_client.create_stream(StreamName=name, ShardCount=1) self.name = name logger.info("Created stream %s.", name) if wait_until_exists: logger.info("Waiting until exists.") self.stream_exists_waiter.wait(StreamName=name) self.describe(name) except ClientError: logger.exception("Couldn't create stream %s.", name) raise
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有关API详细信息,请参阅CreateStream中的 AWS SDKPython (Boto3) API 参考。
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以下代码示例演示如何使用 DeleteStream
。
- SDK适用于 Python (Boto3)
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 class KinesisStream: """Encapsulates a Kinesis stream.""" def __init__(self, kinesis_client): """ :param kinesis_client: A Boto3 Kinesis client. """ self.kinesis_client = kinesis_client self.name = None self.details = None self.stream_exists_waiter = kinesis_client.get_waiter("stream_exists") def delete(self): """ Deletes a stream. """ try: self.kinesis_client.delete_stream(StreamName=self.name) self._clear() logger.info("Deleted stream %s.", self.name) except ClientError: logger.exception("Couldn't delete stream %s.", self.name) raise
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有关API详细信息,请参阅DeleteStream中的 AWS SDKPython (Boto3) API 参考。
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以下代码示例演示如何使用 DescribeStream
。
- SDK适用于 Python (Boto3)
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 class KinesisStream: """Encapsulates a Kinesis stream.""" def __init__(self, kinesis_client): """ :param kinesis_client: A Boto3 Kinesis client. """ self.kinesis_client = kinesis_client self.name = None self.details = None self.stream_exists_waiter = kinesis_client.get_waiter("stream_exists") def describe(self, name): """ Gets metadata about a stream. :param name: The name of the stream. :return: Metadata about the stream. """ try: response = self.kinesis_client.describe_stream(StreamName=name) self.name = name self.details = response["StreamDescription"] logger.info("Got stream %s.", name) except ClientError: logger.exception("Couldn't get %s.", name) raise else: return self.details
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有关API详细信息,请参阅DescribeStream中的 AWS SDKPython (Boto3) API 参考。
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以下代码示例演示如何使用 GetRecords
。
- SDK适用于 Python (Boto3)
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 class KinesisStream: """Encapsulates a Kinesis stream.""" def __init__(self, kinesis_client): """ :param kinesis_client: A Boto3 Kinesis client. """ self.kinesis_client = kinesis_client self.name = None self.details = None self.stream_exists_waiter = kinesis_client.get_waiter("stream_exists") def get_records(self, max_records): """ Gets records from the stream. This function is a generator that first gets a shard iterator for the stream, then uses the shard iterator to get records in batches from the stream. The shard iterator can be accessed through the 'details' property, which is populated using the 'describe' function of this class. Each batch of records is yielded back to the caller until the specified maximum number of records has been retrieved. :param max_records: The maximum number of records to retrieve. :return: Yields the current batch of retrieved records. """ try: response = self.kinesis_client.get_shard_iterator( StreamName=self.name, ShardId=self.details["Shards"][0]["ShardId"], ShardIteratorType="LATEST", ) shard_iter = response["ShardIterator"] record_count = 0 while record_count < max_records: response = self.kinesis_client.get_records( ShardIterator=shard_iter, Limit=10 ) shard_iter = response["NextShardIterator"] records = response["Records"] logger.info("Got %s records.", len(records)) record_count += len(records) yield records except ClientError: logger.exception("Couldn't get records from stream %s.", self.name) raise def describe(self, name): """ Gets metadata about a stream. :param name: The name of the stream. :return: Metadata about the stream. """ try: response = self.kinesis_client.describe_stream(StreamName=name) self.name = name self.details = response["StreamDescription"] logger.info("Got stream %s.", name) except ClientError: logger.exception("Couldn't get %s.", name) raise else: return self.details
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有关API详细信息,请参阅GetRecords中的 AWS SDKPython (Boto3) API 参考。
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以下代码示例演示如何使用 PutRecord
。
- SDK适用于 Python (Boto3)
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注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 class KinesisStream: """Encapsulates a Kinesis stream.""" def __init__(self, kinesis_client): """ :param kinesis_client: A Boto3 Kinesis client. """ self.kinesis_client = kinesis_client self.name = None self.details = None self.stream_exists_waiter = kinesis_client.get_waiter("stream_exists") def put_record(self, data, partition_key): """ Puts data into the stream. The data is formatted as JSON before it is passed to the stream. :param data: The data to put in the stream. :param partition_key: The partition key to use for the data. :return: Metadata about the record, including its shard ID and sequence number. """ try: response = self.kinesis_client.put_record( StreamName=self.name, Data=json.dumps(data), PartitionKey=partition_key ) logger.info("Put record in stream %s.", self.name) except ClientError: logger.exception("Couldn't put record in stream %s.", self.name) raise else: return response
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有关API详细信息,请参阅PutRecord中的 AWS SDKPython (Boto3) API 参考。
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无服务器示例
以下代码示例展示了如何实现一个 Lambda 函数,该函数接收因接收来自 Kinesis 流的记录而触发的事件。该函数检索 Kinesis 有效负载,将 Base64 解码,并记录下记录内容。
- SDK适用于 Python (Boto3)
-
注意
还有更多相关信息 GitHub。在无服务器示例
存储库中查找完整示例,并了解如何进行设置和运行。 使用 Python 将 Kinesis 事件与 Lambda 结合使用。
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0 import base64 def lambda_handler(event, context): for record in event['Records']: try: print(f"Processed Kinesis Event - EventID: {record['eventID']}") record_data = base64.b64decode(record['kinesis']['data']).decode('utf-8') print(f"Record Data: {record_data}") # TODO: Do interesting work based on the new data except Exception as e: print(f"An error occurred {e}") raise e print(f"Successfully processed {len(event['Records'])} records.")
以下代码示例展示了如何为接收来自 Kinesis 流的事件的 Lambda 函数实现部分批处理响应。该函数在响应中报告批处理项目失败,并指示 Lambda 稍后重试这些消息。
- SDK适用于 Python (Boto3)
-
注意
还有更多相关信息 GitHub。在无服务器示例
存储库中查找完整示例,并了解如何进行设置和运行。 报告使用 Python 进行 Lambda Kinesis 批处理项目失败。
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0 def handler(event, context): records = event.get("Records") curRecordSequenceNumber = "" for record in records: try: # Process your record curRecordSequenceNumber = record["kinesis"]["sequenceNumber"] except Exception as e: # Return failed record's sequence number return {"batchItemFailures":[{"itemIdentifier": curRecordSequenceNumber}]} return {"batchItemFailures":[]}