Timescale Backend
TIP
After EMQX version 3.1, a powerful rule engine is introduced to replace plug-ins. It is recommended that you use it. See Save data to Timescale to setup Save data to Timescale in rule engine.
Configure Timescale Server
Config file: etc/plugins/emqx_backend_timescale.conf:
## Timescale Server
backend.timescale.pool1.server = 127.0.0.1:5432
## Timescale Pool Size
backend.timescale.pool1.pool_size = 8
## Timescale Username
backend.timescale.pool1.username = postgres
## Timescale Password
backend.timescale.pool1.password = password
## Timescale Database
backend.timescale.pool1.database = tutorial
## Timescale SSL
backend.timescale.pool1.ssl = false
## SSL keyfile.
##
## Value: File
## backend.timescale.pool1.keyfile =
## SSL certfile.
##
## Value: File
## backend.timescale.pool1.certfile =
## SSL cacertfile.
##
## Value: File
## backend.timescale.pool1.cacertfile =
## Store Publish Message
backend.timescale.hook.message.publish.1 = {"topic": "#", "action": {"function": "on_message_publish"}, "pool": "pool1"}
Parameters in hook rule:
Option | Description |
---|---|
topic | Configure which topics need to execute hooks |
action | Configure specific action for hook, function is a built-in function provided as Backend for general functions |
pool | Pool Name, used to connect multiple Timescale servers |
Example:
## Store PUBLISH message whose topic is "sensor/#"
backend.influxdb.hook.message.publish.1 = {"topic": "sensor/#", "action": {"function": "on_message_publish"}, "pool": "pool1"}
## Store PUBLISH message whose topic is "stat/#"
backend.influxdb.hook.message.publish.2 = {"topic": "stat/#", "action": {"function": "on_message_publish"}, "pool": "pool1"}
Description of Timescale Persistence Hooks
hook | topic | action | Description |
---|---|---|---|
message.publish | # | on_message_publish | Store published messages |
Timescale Backend provides the template file named emqx_backend_timescale.tmpl
, which is used to extract data from MQTT messages with different topics for writing to Timescale.
Template file use Json format:
key
- MQTT Topic, Json String, support wildcard charactersvalue
- Template, Json Object, used to convert MQTT Message intomeasurement,tag_key=tag_value,... field_key=field_value,... timestamp
and write to InfluxDB。
You can define different templates for different topics or multiple templates for the same topic, likes:
{
<Topic 1>: <Template 1>,
<Topic 2>: <Template 2>
}
The template format is as follows:
{
"name": <Name of template>,
"sql": <SQL INSERT INTO>,
"param_keys": <Param Keys>
}
name
, sql
and param_keys
are required options.
name
can be any string, just make sure there are no duplicates.
sql
is SQL INSERT INTO statement for Timescale, like insert into sensor_data(time, location, temperature, humidity) values (NOW(), $1, $2, $3)
.
param_keys
is a array, its first element corresponds to $1
appearing in sql
and so on.
Any element in an array can be a fixed value, and the data type it supports depends on the table you define. More realistically, of course, you can access the data in the MQTT message through the placeholder we provide.
Currently, we support placeholders as follows:
Placeholder | Description |
---|---|
$id | MQTT Message UUID, assigned by EMQX |
$clientid | Client ID used by the Client |
$username | Username used by the Client |
$peerhost | IP of Client |
$qos | QoS of MQTT Message |
$topic | Topic of MQTT Message |
$payload | Payload of MQTT Message, must be valid Json data |
$<Number> | It must be used with $paylaod to retrieve data from Json Array |
$timestamp | The timestamp EMQX sets when preparing to forward messages, precision: Nanoseconds |
$payload and $<Number>:
You can directly use $content
to obtain the complete message payload, you can use ["$payload", <Key>, ...]
to get the data inside the message payload.
For example payload
is {"data": {"temperature": 23.9}}
, you can via ["$payload", "data", "temperature"]
to get 23.9
.
In the case of array data type in Json, we introduced $0
and $<pos_integer>
, $0
means to get all elements in the array, and $<pos_integer>
means to get the <pos_integer>th element in the array.
A simple example, ["$payload", "$0", "temp"]
will get [20, 21]
from [{"temp": 20}, {"temp": 21}]
, and ["$payload", "$1", "temp"]
will only get 20
.
It is worth noting that when you use $0
, we expect the number of data you get is same. Because we need to convert these arrays into multiple records and write it into Timescale, and when you have three pieces of data in one field and two in another, we won’t know how to combine the data for you.
Example
data/templates directory provides a sample template (emqx_backend_timescale_example.tmpl, please remove the “_example” suffix from the filename when using it formally) for the user’s reference:
{
"sensor_data": {
"name": "insert_sensor_data",
"sql": "insert into sensor_data(time, location, temperature, humidity) values (NOW(), $1, $2, $3)",
"param_keys": [
["$payload", "data", "$0", "location"],
["$payload", "data", "$0", "temperature"],
["$payload", "data", "$0", "humidity"]
]
},
"sensor_data2/#": {
"name": "insert_sensor_data2",
"sql": "insert into sensor_data(time, location, temperature, humidity) values (NOW(), $1, $2, $3)",
"param_keys": [
["$payload", "location"],
["$payload", "temperature"],
["$payload", "humidity"]
]
},
"easy_data": {
"name": "insert_easy_data",
"sql": "insert into easy_data(time, data) values (NOW(), $1)",
"param_keys": [
"$payload"
]
}
}
When an MQTT Message whose Topic is “sensor_data” has the following Payload:
{
"data":[
{
"location":"bedroom",
"temperature":21.3,
"humidity":40.3
},
{
"location":"bathroom",
"temperature":22.3,
"humidity":61.8
},
{
"location":"kitchen",
"temperature":29.5,
"humidity":58.7
}
]
}
["$payload", "data", "$0", "location"]
will extract Payload from MQTT Message first.
If the format of Payload is json, backend continue to extract data
from Payload.
And the value of data
is an array, we use $0
to gets all elements in the array.
["$payload", "data", "$0", "location"]
will help us get ["bedroom", "bathroom", "kitchen"]
finally.
Accordingly if you replace $0
with $1
, you get only ["bedroom"]
.
So in this scene, we will get the following SQL statement:
insert into sensor_data(time, location, temperature, humidity) values (NOW(), 'bedroom', 21.3, 40.3)
insert into sensor_data(time, location, temperature, humidity) values (NOW(), 'bathroom', 22.3, 61.8)
insert into sensor_data(time, location, temperature, humidity) values (NOW(), 'kitchen', 29.5, 58.7)
Eventually Timescale Backend executes these SQL statements to write data to Timescale.