As Writing API
CREATE TAG TABLE IF NOT EXISTS EXAMPLE (
NAME VARCHAR(20) PRIMARY KEY,
TIME DATETIME BASETIME,
VALUE DOUBLE SUMMARIZED
);
INSERT
CSV
Save tql file
Save the code below as input-csv.tql
.
When you save a TQL script, the editor will display a link icon in the top right corner. Click on it to copy the script file’s address.
CSV(payload(),
field(0, stringType(), 'name'),
field(1, timeType('ns'), 'time'),
field(2, floatType(), 'value'),
header(false)
)
INSERT("name", "time", "value", table("example"))
HTTP POST
Prepare data file as input-csv.csv
TAG0,1628866800000000000,12
TAG0,1628953200000000000,13
Invoke input-csv.tql
with the data file with curl
command
curl -X POST http://127.0.0.1:5654/db/tql/input-csv.tql \
-H "Content-Type: application/csv" \
--data-binary "@input-csv.csv"
MQTT PUBLISH
Prepare data file as input-csv.csv
TAG1,1628866800000000000,12
TAG1,1628953200000000000,13
mosquitto_pub -h 127.0.0.1 -p 5653 \
-t db/tql/input-csv.tql \
-f input-csv.csv
APPEND
CSV
Save tql file
Save the code below as append-csv.tql
.
When you save a TQL script, the editor will display a link icon in the top right corner. Click on it to copy the script file’s address.
CSV(payload(),
field(0, stringType(), 'name'),
field(1, timeType('ns'), 'time'),
field(2, floatType(), 'value'),
header(false)
)
APPEND(table('example'))
HTTP POST
Prepare data file as append-csv.csv
TAG2,1628866800000000000,12
TAG2,1628953200000000000,13
Invoke append-csv.tql
with the data file with curl
command
curl -X POST http://127.0.0.1:5654/db/tql/append-csv.tql \
-H "Content-Type: application/csv" \
--data-binary "@append-csv.csv"
MQTT PUBLISH
Prepare data file as append-csv.csv
TAG3,1628866800000000000,12
TAG3,1628953200000000000,13
mosquitto_pub -h 127.0.0.1 -p 5653 \
-t db/tql/input-csv.tql \
-f append-csv.csv
Custom JSON
Save tql file
Use SCRIPT() function to parse a custom format JSON.
Save the code below as input-json.tql
.
STRING( payload() )
SCRIPT("js", {
obj = JSON.parse($.values[0])
for (i = 0; i < obj.data.rows.length; i++) {
row = obj.data.rows[i];
$.yield(row[0], row[1], row[2]);
}
})
INSERT("name", "time", "value", table("example"))
HTTP POST
Prepare data file as input-json.json
{
"data": {
"columns": [ "NAME", "TIME", "VALUE" ],
"types": [ "string", "datetime", "double" ],
"rows": [
[ "TAG0", 1628866800000000000, 12 ],
[ "TAG0", 1628953200000000000, 13 ]
]
}
}
Invoke input-csv.tql
with the data file with curl
command
curl -X POST http://127.0.0.1:5654/db/tql/input-json.tql \
-H "Content-Type: application/json" \
--data-binary "@input-json.json"
MQTT PUBLISH
Prepare data file as input-json.json
{
"data": {
"columns": [ "NAME", "TIME", "VALUE" ],
"types": [ "string", "datetime", "double" ],
"rows": [
[ "TAG1", 1628866800000000000, 12 ],
[ "TAG1", 1628953200000000000, 13 ]
]
}
}
mosquitto_pub -h 127.0.0.1 -p 5653 \
-t db/tql/input-json.tql \
-f input-json.json
Custom Text
When the data transforming is required for writing to the database, prepare the proper tql script and publish the data to the topic named db/tql/
+{tql_file.tql}
.
The example code below shows how to handle multi-lines text data for writing into a table.
Transforming using MAP functions.
|
|
The alternative way using SCRIPT function.
|
|
Result
text_1,2023-12-02 11:03:36.054,12
text_2,2023-12-02 11:03:36.054,23
text_3,2023-12-02 11:03:36.054,78
text_4,2023-12-02 11:03:36.054,89
text_5,2023-12-02 11:03:36.054,90
Run the code above and if there is no error and works as expected,
then replace the last line CSV()
with APPEND(table('example'))
.
Save the code as “script-post-lines.tql”, then send some test data to the topic db/tql/script-post-lines.tql
.
cat lines.txt
110000
221111
332222
442222
HTTP POST
For the note, the same tql file also works with HTTP POST.
curl -H "Content-Type: text/plain" \
--data-binary @lines.txt \
http://127.0.0.1:5654/db/tql/script-post-lines.tql
MQTT PUBLISH
mosquitto_pub -h 127.0.0.1 -p 5653 \
-t db/tql/script-post-lines.tql \
-f lines.txt
Then find if the data was successfully transformed and stored.
$ machbase-neo shell "select * from example where name like 'text_%'"
ROWNUM NAME TIME(LOCAL) VALUE
────────────────────────────────────────────────────
1 text_3 2023-07-14 08:51:10.926 44.000000
2 text_0 2023-07-14 08:51:10.925 11.000000
3 text_1 2023-07-14 08:51:10.926 22.000000
4 text_2 2023-07-14 08:51:10.926 33.000000
4 rows fetched.