diff --git a/documentation/tdenginedocs-cn/getting-started/index.html b/documentation/tdenginedocs-cn/getting-started/index.html index 65ef667d00..d7d5d8540c 100644 --- a/documentation/tdenginedocs-cn/getting-started/index.html +++ b/documentation/tdenginedocs-cn/getting-started/index.html @@ -28,7 +28,7 @@

在TDengine终端中,用户可以通过SQL命令来创建/删除数据库、表等,并进行插入查询操作。在终端中运行的SQL语句需要以分号结束来运行。示例:

create database db;
 use db;
-create table t (ts timestamp, cdata int);
+create table t (ts timestamp, speed int);
 insert into t values ('2019-07-15 00:00:00', 10);
 insert into t values ('2019-07-15 01:00:00', 20);
 select * from t;
@@ -85,4 +85,4 @@ Query OK, 2 row(s) in set (0.001700s)

TDengine是专为物联网、车联网、工业互联网、运维监测等场景优化设计的时序数据处理引擎。与其他方案相比,它的插入查询速度都快10倍以上。单核一秒钟就能插入100万数据点,读出1000万数据点。由于采用列式存储和优化的压缩算法,存储空间不及普通数据库的1/10.

深入了解TDengine

-

请继续阅读文档来深入了解TDengine。

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请继续阅读文档来深入了解TDengine。

回去 diff --git a/documentation/tdenginedocs-en/getting-started/index.html b/documentation/tdenginedocs-en/getting-started/index.html index 039128e964..8968441b55 100644 --- a/documentation/tdenginedocs-en/getting-started/index.html +++ b/documentation/tdenginedocs-en/getting-started/index.html @@ -28,7 +28,7 @@

In the TDengine shell, you can create databases, create tables and insert/query data with SQL. Each query command ends with a semicolon. It works like MySQL, for example:

create database db;
 use db;
-create table t (ts timestamp, cdata int);
+create table t (ts timestamp, speed int);
 insert into t values ('2019-07-15 10:00:00', 10);
 insert into t values ('2019-07-15 10:01:05', 20);
 select * from t;
@@ -85,4 +85,4 @@ Query OK, 2 row(s) in set (0.001700s)

TDengine is specially designed and optimized for time-series data processing in IoT, connected cars, Industrial IoT, IT infrastructure and application monitoring, and other scenarios. Compared with other solutions, it is 10x faster on insert/query speed. With a single-core machine, over 20K requestes can be processed, millions data points can be ingested, and over 10 million data points can be retrieved in a second. Via column-based storage and tuned compression algorithm for different data types, less than 1/10 storage space is required.

Explore More on TDengine

-

Please read through the whole documentation to learn more about TDengine.

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Please read through the whole documentation to learn more about TDengine.

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