@@ -8,14 +8,14 @@ The following article explains how to quickly build a single-node TDengine runti
The Docker tools themselves can be downloaded from [Docker official site](https://docs.docker.com/get-docker/).
After installation, you can check the Docker version in the commandline terminal. If the version number is output properly, the Docker environment has been installed successfully.
After installation, you can check the Docker version in the command-line terminal. If the version number is output properly, the Docker environment has been installed successfully.
After enter, this command will automatically create a super table meters under the database test, there are 10,000 tables under this super table, the table name is "d0" to "d9999", each table has 10,000 records, each record has four fields (ts, current, voltage, phase), the time stamp is from "2017-07-14 10:40:00 000" to "2017-07-14 10:40:09 999", each table has a tag location and groupId, groupId is set from 1 to 10 and location is set to "beijing" or "shanghai".
After enter, this command will automatically create a super table `meters` under the database test, there are 10,000 tables under this super table, the table name is "d0" to "d9999", each table has 10,000 records, each record has four fields (ts, current, voltage, phase), the time stamp is from "2017-07-14 10:40:00 000" to "2017-07-14 10:40:09 999", each table has a tag location and groupId, groupId is set from 1 to 10 and location is set to "beijing" or "shanghai".
It takes about a few minutes to execute this command and ends up inserting a total of 100 million records.
TDengine supports multiple ways to write data, including SQL, Prometheus, Telegraf, collectd, StatsD, EMQ MQTT Broker, HiveMQ Broker, CSV file, etc. Kafka, OPC and other interfaces will be provided in the future. Data can be inserted in one single record or in batches, data from one or multiple data collection points can be inserted at the same time. TDengine supports multi-thread insertion, out-of-order data insertion, and also historical data insertion.
## <a class="anchor" id="sql"></a> Data Writing via SQL
## <a class="anchor" id="sql"></a> Data Writing via SQL
Applications insert data by executing SQL insert statements through C/C++, Java, Go, C#, Python, Node.js Connectors, and users can manually enter SQL insert statements to insert data through TAOS Shell. For example, the following insert writes a record to table d1001:
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@@ -119,16 +119,16 @@ The format of generated data by Prometheus is as follows:
```json
{
Timestamp:1576466279341,
Value:37.000000,
Value:37.000000,
apiserver_request_latencies_bucket{
component="apiserver",
instance="192.168.99.116:8443",
job="kubernetes-apiservers",
le="125000",
component="apiserver",
instance="192.168.99.116:8443",
job="kubernetes-apiservers",
le="125000",
resource="persistentvolumes",s
cope="cluster",
verb="LIST",
version=“v1"
verb="LIST",
version=“v1"
}
}
```
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@@ -167,13 +167,13 @@ Now you can query the metrics data of Telegraf from TDengine.
Please find taosAdapter configuration and usage from `taosadapter --help` output.
* Modify the configuration file /etc/icinga2/features-enabled/opentsdb.conf
```
object OpenTsdbWriter "opentsdb" {
host = "host to taosAdapter"
port = 6048
}
```
Please find taosAdapter configuration and usage from `taosadapter --help` output.
## <a class="anchor" id="tcollector"></a> Data Writting 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).
//If the function succeeds, the return value is nonzero.
//If the function fails, the return value is zero. To get extended error information, call GetLastError.
//The function fails if hFile is a handle to the console output. That is because the console output is not buffered. The function returns FALSE, and GetLastError returns ERROR_INVALID_HANDLE.
