@@ -4,7 +4,7 @@ TDengine supports multiple interfaces to write data, including SQL, Prometheus,
## <a class="anchor" id="sql"></a> SQL Writing
Applications insert data by executing SQL insert statements through C/C++, JDBC, GO, or Python Connector, 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:
Applications insert data by executing SQL insert statements through C/C++, JDBC, GO, C#, or Python Connector, 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:
```mysql
INSERT INTO d1001 VALUES (1538548685000, 10.3, 219, 0.31);
Set client options, currently only time zone setting (_TSDB_OPTIONTIMEZONE) and encoding setting (_TSDB_OPTIONLOCALE) are supported. The time zone and encoding default to the current operating system settings.
Set client options, currently only time zone setting (`_TSDB_OPTIONTIMEZONE`) and encoding setting (`_TSDB_OPTIONLOCALE`) are supported. The time zone and encoding default to the current operating system settings.
-`char *taos_get_client_info()`
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@@ -296,9 +296,7 @@ Asynchronous APIs have relatively high requirements for users, who can selective
The asynchronous APIs of TDengine all use non-blocking calling mode. Applications can use multithreading to open multiple tables at the same time, and can query or insert to each open table at the same time. It should be pointed out that the **application client must ensure that the operation on the same table is completely serialized**, that is, when the insertion or query operation on the same table is not completed (when no result returned), the second insertion or query operation cannot be performed.
<aclass="anchor"id="stmt"></a>
### Parameter binding API
In addition to calling `taos_query` directly for queries, TDengine also provides a Prepare API that supports parameter binding. Like MySQL, these APIs currently only support using question mark `?` to represent the parameters to be bound, as follows:
The TDengine provides the GO driver taosSql. taosSql implements the GO language's built-in interface database/sql/driver. Users can access TDengine in the application by simply importing the package as follows, see https://github.com/taosdata/driver-go/blob/develop/taosSql/driver_test.go for details.
Sample code for using the Go connector can be found in https://github.com/taosdata/TDengine/tree/develop/tests/examples/go and the [video tutorial](https://www.taosdata.com/blog/2020/11/11/1951.html).
Sample code for using the Go connector can be found in https://github.com/taosdata/TDengine/tree/develop/tests/examples/go .
```Go
import (
"database/sql"
_ "github.com/taosdata/driver-go/taosSql"
_ "github.com/taosdata/driver-go/v2/taosSql"
)
```
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@@ -839,6 +837,8 @@ go env -w GO111MODULE=on
go env-wGOPROXY=https://goproxy.io,direct
```
`taosSql` v2 completed refactoring of the v1 version and separated the built-in database operation interface `database/sql/driver` to the directory `taosSql`, and put other advanced functions such as subscription and stmt into the directory `af`.
@@ -937,7 +937,7 @@ After installing the TDengine client, the nodejsChecker.js program can verify wh
Steps:
1. Create a new installation verification directory, for example: ~/tdengine-test, copy the nodejsChecker.js source program on github. Download address: （https://github.com/taosdata/TDengine/tree/develop/tests/examples/nodejs/nodejsChecker.js）.
1. Create a new installation verification directory, for example: `~/tdengine-test`, copy the nodejsChecker.js source program on github. Download address: （https://github.com/taosdata/TDengine/tree/develop/tests/examples/nodejs/nodejsChecker.js）.
tdSql.execute("create table ap3_sub1 using ap3 tags (2.90799)")
fortb_namein["ap1","ap2_sub1","ap3_sub1"]:
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:54.119', 2.90799)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:54.317', 3.07399)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:54.517', 0.58117)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:54.717', 0.16150)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:54.918', 1.47885)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:56.569', 1.76472)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:57.381', 2.13722)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:57.574', 4.10256)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:57.776', 3.55345)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:57.976', 1.46624)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:58.187', 0.17943)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:58.372', 2.04101)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:58.573', 3.20924)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:58.768', 1.71807)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:58.964', 4.60900)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:59.155', 4.33907)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:59.359', 0.76940)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:59.553', 0.06458)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:59.742', 4.59857)")
tdSql.execute(f"insert into {tb_name} values ('2021-07-25 02:19:59.938', 1.55081)")
tdSql.query("select interp(pav) from ap1 where ts = '2021-07-25 02:19:54' FILL (PREV)")
tdSql.checkRows(0)
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@@ -57,6 +55,29 @@ class TDTestCase:
tdSql.checkRows(0)
tdSql.query("select interp(pav) from ap1 where ts = '2021-07-25 02:19:54' FILL (LINEAR)")
tdSql.checkRows(0)
# check None
tdSql.query("select interp(pav) from ap1 where ts> '2021-07-25 02:19:54' and ts<'2021-07-25 02:20:00' every(1000a) FILL (None)")
tdSql.checkRows(0)
# check NULL
tdSql.query("select interp(pav) from ap1 where ts> '2021-07-25 02:19:54' and ts<'2021-07-25 02:20:00' every(1000a) FILL (NULL)")
tdSql.checkRows(6)
foriinrange(5):
tdSql.checkData(i,1,None)
# checkout VALUE
tdSql.query("select interp(pav) from ap1 where ts> '2021-07-25 02:19:54' and ts<'2021-07-25 02:20:00' every(1000a) FILL (VALUE, 1)")
tdSql.checkRows(6)
foriinrange(5):
tdSql.checkData(i,1,1.00000)
# check tag group by
tdSql.query("select interp(pav) from ap2 where ts>= '2021-07-25 02:19:54' and ts<'2021-07-25 02:20:00' every(1000a) FILL (VALUE,1) group by t1;")
foriinrange(5):
tdSql.checkData(i,1,1.00000)
tdSql.checkData(i,2,2.90799)
# check multi ts lines
tdSql.query("select z1.ts,z1.val1,z2.val2 from (select interp(pav) val1 from ap2 where ts> '2021-07-25 02:19:54' and ts<'2021-07-25 02:20:00' every(1000a) FILL (value,1)) z1,(select interp(pav) val2 from ap3 where ts> '2021-07-25 02:19:54' and ts<'2021-07-25 02:20:00' every(1000a) FILL (value,2)) z2 where z1.ts=z2.ts ;")
foriinrange(5):
tdSql.checkData(i,1,1.00000)
tdSql.checkData(i,2,2.00000)
tdSql.query("select interp(pav) from ap1 where ts> '2021-07-25 02:19:54' and ts<'2021-07-25 02:20:00' every(1000a) FILL (LINEAR)")
tdSql.checkRows(6)
tdSql.query("select interp(pav) from ap1 where ts>= '2021-07-25 02:19:54' and ts<'2021-07-25 02:20:00' every(1000a) FILL (NEXT)")
