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Merge pull request #16312 from taosdata/sean-tdengine-patch-52 

docs: Get Started - Docker - fixed sequencing
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wade zhang 2022-08-23 09:16:02 +08:00 committed by GitHub
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docs/en/05-get-started/01-docker.md
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@ -31,17 +31,6 @@ You can now access TDengine or run other Linux commands.
Note: For information about installing docker, see the [official documentation](https://docs.docker.com/get-docker/). Note: For information about installing docker, see the [official documentation](https://docs.docker.com/get-docker/).
## Open the TDengine CLI
On the container, run the following command to open the TDengine CLI:
```
$ taos
taos>
```
## Insert Data into TDengine ## Insert Data into TDengine
You can use the `taosBenchmark` tool included with TDengine to write test data into your deployment. You can use the `taosBenchmark` tool included with TDengine to write test data into your deployment.
@ -59,39 +48,51 @@ To do so, run the following command:
You can customize the test deployment that taosBenchmark creates by specifying command-line parameters. For information about command-line parameters, run the `taosBenchmark --help` command. For more information about taosBenchmark, see [taosBenchmark](/reference/taosbenchmark). You can customize the test deployment that taosBenchmark creates by specifying command-line parameters. For information about command-line parameters, run the `taosBenchmark --help` command. For more information about taosBenchmark, see [taosBenchmark](/reference/taosbenchmark).
## Open the TDengine CLI
On the container, run the following command to open the TDengine CLI:
```
$ taos
taos>
```
## Query Data in TDengine ## Query Data in TDengine
After using taosBenchmark to create your test deployment, you can run queries in the TDengine CLI to test its performance. For example: After using taosBenchmark to create your test deployment, you can run queries in the TDengine CLI to test its performance. For example:
Query the number of rows in the `meters` supertable: From the TDengine CLI query the number of rows in the `meters` supertable:
```sql ```sql
taos> select count(*) from test.meters; select count(*) from test.meters;
``` ```
Query the average, maximum, and minimum values of all 100 million rows of data: Query the average, maximum, and minimum values of all 100 million rows of data:
```sql ```sql
taos> select avg(current), max(voltage), min(phase) from test.meters; select avg(current), max(voltage), min(phase) from test.meters;
``` ```
Query the number of rows whose `location` tag is `California.SanFrancisco`: Query the number of rows whose `location` tag is `San Francisco`:
```sql ```sql
taos> select count(*) from test.meters where location="San Francisco"; select count(*) from test.meters where location="San Francisco";
``` ```
Query the average, maximum, and minimum values of all rows whose `groupId` tag is `10`: Query the average, maximum, and minimum values of all rows whose `groupId` tag is `10`:
```sql ```sql
taos> select avg(current), max(voltage), min(phase) from test.meters where groupId=10; select avg(current), max(voltage), min(phase) from test.meters where groupId=10;
``` ```
Query the average, maximum, and minimum values for table `d10` in 10 second intervals: Query the average, maximum, and minimum values for table `d10` in 1 second intervals:
```sql ```sql
taos> select avg(current), max(voltage), min(phase) from test.d10 interval(10s); select first(ts), avg(current), max(voltage), min(phase) from test.d10 interval(1s);
``` ```
In the query above you are selecting the first timestamp (ts) in the interval, another way of selecting this would be _wstart which will give the start of the time window. For more information about windowed queries, see [Time-Series Extensions](../../taos-sql/distinguished/).
## Additional Information ## Additional Information