未验证 提交 b88b220e 编写于 作者: U universeroc 提交者: GitHub

Fix typo DTengine => TDengine

上级 22f9f4b0
......@@ -29,7 +29,7 @@ INTERVAL(1M) SLIDING(30S) </code></pre></li>
<p>Inside TDengine shell, you can use the command "show streams" to list the ongoing continuous queries, the command "kill stream" to kill a specific continuous query. </p>
<p>If you drop a table generated by the continuous query, the query will be removed too.</p>
<a class='anchor' id='Publisher/Subscriber'></a><h2>Publisher/Subscriber</h2>
<p>Time series data is a sequence of data points over time. Inside a table, the data points are stored in order of timestamp. Also, there is a data retention policy, the data points will be removed once their lifetime is passed. From another view, a table in DTengine is just a standard message queue. </p>
<p>Time series data is a sequence of data points over time. Inside a table, the data points are stored in order of timestamp. Also, there is a data retention policy, the data points will be removed once their lifetime is passed. From another view, a table in TDengine is just a standard message queue. </p>
<p>To reduce the development complexity and improve data consistency, TDengine provides the pub/sub functionality. To publish a message, you simply insert a record into a table. Compared with popular messaging tool Kafka, you subscribe to a table or a SQL query statement, instead of a topic. Once new data points arrive, TDengine will notify the application. The process is just like Kafka. </p>
<p>The detailed API will be introduced in the <a href="https://www.taosdata.com/en/documentation/advanced-features/">connectors</a> section. </p>
<a class='anchor' id='Caching'></a><h2>Caching</h2>
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