@@ -36,7 +36,7 @@ For the SQL INSERT Grammar, please refer to [Taos SQL insert](https://www.taosd
**Introduction**
<br/> In many IoT applications, data collection is often used in intelligent control, business analysis and device monitoring etc. As fast application upgrade and iteration, or hardware adjustment, data collection metrics can change rapidly over time. To provide solutions to such use cases, from version 2.2.0.0, TDengine supports writing data via Schemaless. When using Schemaless, action of pre-creating table before inserting data is no longer needed anymore. Tables, data columns and tags can be created automatically. Schemaless can also add additional data columns to tables if necessary, to make sure data can be properly stored into TDengine.
<br/> TDengine C/C++ Connector provides Schemaless API. Please see [Schemaless data writting API](https://www.taosdata.com/en/documentation/connector#schemaless) for detailed data writing format.
<br/> TDengine C/C++ Connector provides Schemaless API. Please see [Schemaless data writing API](https://www.taosdata.com/en/documentation/connector#schemaless) for detailed data writing format.
<br/> Super table and corresponding child tables created via Schemaless are identical to the ones created via SQL, so inserting data into these tables via SQL is also supported. Note that child table names are generated via Schemaless are following special rules through tags mapping. Therefore, child table names are usually not meaningful in terms of readability.
**Schemaless writing protocols**
...
...
@@ -115,7 +115,7 @@ After MD5 value "md5_val" calculated using the above string, prefix "t_" is prep
When SML_TELNET_PROTOCOL or SML_JSON_PROTOCOL used，timestamp precision is determined by how many digits used in timestamp（following OpenTSDB convention），precision from user input will be ignored。
...
...
@@ -136,7 +136,7 @@ create stable st (_ts timestamp, c1 bigint, c2 bool, c3 binary(6), c4 bigint) ta
**Schemaless data alternation rules**
<br/>This section describes several data alternation scenarios:
When column with one line has certain type, and following lines attemp to change the data type of this column, an error will be reported by the API:
When column with one line has certain type, and following lines attempt to change the data type of this column, an error will be reported by the API:
Please find taosAdapter configuration and usage from `taosadapter --help` output.
## <a class="anchor" id="tcollector"></a> Data Writting via TCollector and taosAdapter
## <a class="anchor" id="tcollector"></a> Data Writing via TCollector and taosAdapter
TCollector is a client-side process that gathers data from local collectors and pushes the data to OpenTSDB. You run it on all your hosts, and it does the work of sending each host’s data to the TSD (OpenTSDB backend process).
@@ -63,7 +63,7 @@ Enter the data source configuration page and modify the corresponding configurat
- Host: IP address of any server in TDengine cluster and port number of TDengine RESTful interface (6041), use `http://localhost:6041` to access the interface by default. Note the 2.4 and later version of TDengine use a stand-alone software, taosAdapter to provide RESTful interface. Please refer to its document for configuration and deployment.
- Host: IP address of any server in TDengine cluster and port number of TDengine RESTful interface (6041), use `http://localhost:6041` to access the interface by default. Note the 2.4 and later version of TDengine use a stand-alone software, taosAdapter to provide RESTful interface. Please refer to its document for configuration and deployment.
- User: TDengine username.
- Password: TDengine user password.
...
...
@@ -101,9 +101,10 @@ MATLAB can access data to the local workspace by connecting directly to the TDen
Several steps are required to adapt MATLAB to TDengine. Taking adapting MATLAB2017a on Windows10 as an example:
- Copy the file JDBCDriver-1.0.0-dist.ja*r* in TDengine package to the directory ${matlab_root}\MATLAB\R2017a\java\jar\toolbox
- Copy the file JDBCDriver-1.0.0-dist.jar in TDengine package to the directory ${matlab_root}\MATLAB\R2017a\java\jar\toolbox
- Copy the file taos.lib in TDengine package to ${matlab root dir}\MATLAB\R2017a\lib\win64
- Add the .jar package just copied to the MATLAB classpath. Append the line below as the end of the file of ${matlab root dir}\MATLAB\R2017a\toolbox\local\classpath.txt
For more detailed examples, please refer to the examples\matlab\TDengineDemo.m file in the package.
## <a class="anchor" id="r"></a> R
## <a class="anchor" id="r"></a> R
R language supports connection to the TDengine database through the JDBC interface. First, you need to install the JDBC package of R language. Launch the R language environment, and then execute the following command to install the JDBC support library for R language:
