# I am the Watcher. I am your guide through this vast new twtiverse.
# 
# Usage:
#     https://watcher.sour.is/api/plain/users              View list of users and latest twt date.
#     https://watcher.sour.is/api/plain/twt                View all twts.
#     https://watcher.sour.is/api/plain/mentions?uri=:uri  View all mentions for uri.
#     https://watcher.sour.is/api/plain/conv/:hash         View all twts for a conversation subject.
# 
# Options:
#     uri     Filter to show a specific users twts.
#     offset  Start index for quey.
#     limit   Count of items to return (going back in time).
# 
# twt range = 1 1
# self = https://watcher.sour.is/conv/legu3kq
yue-fang-readfog
feeds.twtxt.net
View Thread
注意：Kafka 的這 6 個場景會丟失消息！**
大家好，我是君哥。我們使用 Kafka 的時候，怎樣能保證不丟失消息呢？今天來聊一聊這個話題。首先我們看一下 Kafka 的架構圖，場景一：異步發送--------Producer 異步發送是丟失消息比較多的場景，Kafka 異步發送的代碼如下：ProducerRecordbyte],byte[] record = new ProducerRecordbyte[],byte[;RecordMeta ⌘ [Read more](https://www.readfog.com/a/1733106394393055232)