From 72aef9078daf158e26be7328573040ced260a078 Mon Sep 17 00:00:00 2001 From: ATR Date: Mon, 9 Dec 2019 19:14:46 +0800 Subject: [PATCH] Update index.html create table t (ts timestamp, speed int); // fix 'cdata' to 'speed' --- documentation/tdenginedocs-en/getting-started/index.html | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) 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.

Back \ No newline at end of file +

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

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