AWS Kinesis Firehose流写入数据到表时不会覆盖表的锁定状态。如果表被其他任务或操作锁定，Kinesis Firehose将等待表解锁后再进行写入。以下是一个Python示例，它展示了如何使用Amazon Kinesis Data Firehose API将数据写入S3，其中也包括了等待表解锁后再进行写入的代码：

import boto3
import time

firehose_client = boto3.client("firehose")
response = firehose_client.put_record(DeliveryStreamName="my-delivery-stream", Record={"Data": "Hello, World!"})
table_not_locked = False

while not table_not_locked:
    try:
        # 试图获取表的锁
        dynamodb_table.update_item(
            Key={"id": {"N": "1"}},
            UpdateExpression="set #status =:s",
            ExpressionAttributeNames={"#status": "status"},
            ExpressionAttributeValues={":s": {"S": "locked"}},
        )
        # 成功获取锁
        table_not_locked = True

    except Exception as e:
        # 表被锁定，休息5秒后重试
        print("Table is locked, waiting for 5 seconds")
        time.sleep(5)

firehose_client.put_record(DeliveryStreamName="my-delivery-stream", Record={"Data": "Hello again, World!"})

# 释放表锁
dynamodb_table.update_item(
    Key={"id": {"N": "1"}},
    UpdateExpression="set #status =:s",
    ExpressionAttributeNames={"#status": "status"},
    ExpressionAttributeValues={":s": {"S": "unlocked"}},
)