dockerized_openAger/nodered/rootfs/data/node_modules/node-red-contrib-influxdb

node-red-contrib-influxdb

A Node-RED node to write and query data from an influxdb time series database. These nodes use the influxDB 1.x client for node.js, specifically calling the writePoints(), and query() methods. Currently these nodes can only communicate with one influxdb host. These nodes do not support InfluxDb 2.0 yet.

Prerequisites

To run this you'll need access to an influxdb database version 1.x. See the influxdb site for more information. The last release of this node has been tested with InfluxDb 1.8.

Install

Run the following command in the root directory of your Node-RED install. Usually this is ~/.node-red .

npm install node-red-contrib-influxdb

Usage

Nodes to write and query data from an influxdb time series database.

Input Node

Queries one or more measurements in an influxdb database. The query is specified in the node configuration or in the msg.query property. Setting it in the node will override the msg.query. The result is returned in msg.payload.

For example, here is a simple flow to query all of the points in the test measurement of the aTimeSeries database, where the query is in the configuration of the influxdb input node (copy and paste to your NR editor).

[{"id":"eba91e98.1456e","type":"influxdb","z":"b061b303.4f9e5","hostname":"127.0.0.1","port":"8086","database":"aTimeSeries","name":"aTimeSeries"},{"id":"9641241a.69bed8","type":"influxdb in","z":"b061b303.4f9e5","influxdb":"eba91e98.1456e","name":"time query","query":"select * from test;","x":259,"y":416,"wires":[["ef40525d.10bfb"]]},{"id":"99338e00.66cc7","type":"inject","z":"b061b303.4f9e5","name":"","topic":"","payload":"","payloadType":"date","repeat":"","crontab":"","once":false,"x":108,"y":416,"wires":[["9641241a.69bed8"]]},{"id":"ef40525d.10bfb","type":"debug","z":"b061b303.4f9e5","name":"","active":true,"console":"false","complete":"false","x":441,"y":416,"wires":[]}]

This flow performs the same, but using a query in the msg.payload:

[{"id":"eba91e98.1456e","type":"influxdb","z":"b061b303.4f9e5","hostname":"127.0.0.1","port":"8086","database":"aTimeSeries","name":"aTimeSeries"},{"id":"c8b8604d.3747a","type":"inject","z":"b061b303.4f9e5","name":"","topic":"","payload":"","payloadType":"date","repeat":"","crontab":"","once":false,"x":113,"y":496,"wires":[["affa0a63.5005f8"]]},{"id":"affa0a63.5005f8","type":"function","z":"b061b303.4f9e5","name":"simple query","func":"msg.query=\"select * from test;\";\nreturn msg;","outputs":1,"noerr":0,"x":273,"y":496,"wires":[["30a428ee.cf5bd8"]]},{"id":"30a428ee.cf5bd8","type":"influxdb in","z":"b061b303.4f9e5","influxdb":"eba91e98.1456e","name":"time query","query":"","x":436,"y":496,"wires":[["eee2af7a.111d5"]]},{"id":"eee2af7a.111d5","type":"debug","z":"b061b303.4f9e5","name":"","active":true,"console":"false","complete":"false","x":594,"y":496,"wires":[]}]

The function node in this flow sets the msg.query property as follows:

msg.query="select * from test;";
return msg;

Output Node

Writes one or more points (fields and tags) to a measurement.

The fields and tags to write are in msg.payload. If the message is a string, number, or boolean, it will be written as a single value to the specified measurement (called value).

For example, the following flow injects a single random field called value into the measurement test in the database aTimeSeries with the current timestamp.

[{"id":"eba91e98.1456e","type":"influxdb","z":"b061b303.4f9e5","hostname":"127.0.0.1","port":"8086","database":"aTimeSeries","name":"aTimeSeries"},{"id":"17bd4566.e842bb","type":"influxdb out","z":"b061b303.4f9e5","influxdb":"eba91e98.1456e","name":"","measurement":"test","x":428,"y":36,"wires":[]},{"id":"be93bfeb.416c4","type":"function","z":"b061b303.4f9e5","name":"single value","func":"msg.payload = Math.random()*10;\nreturn msg;","outputs":1,"noerr":0,"x":245,"y":64,"wires":[["17bd4566.e842bb"]]},{"id":"31f9f174.ce060e","type":"inject","z":"b061b303.4f9e5","name":"","topic":"","payload":"","payloadType":"date","repeat":"","crontab":"","once":false,"x":101,"y":39,"wires":[["be93bfeb.416c4"]]}]

The function node consists of the following:

msg.payload = Math.random()*10;
return msg;

If msg.payload is an object containing multiple properties, the fields will be written to the measurement.

For example, the following flow injects three fields, numValue, randomValue and strValue into the same measurement with the current timestamp.

[{"id":"eba91e98.1456e","type":"influxdb","z":"b061b303.4f9e5","hostname":"127.0.0.1","port":"8086","database":"aTimeSeries","name":"aTimeSeries"},{"id":"baee675c.451198","type":"inject","z":"b061b303.4f9e5","name":"","topic":"","payload":"","payloadType":"date","repeat":"","crontab":"","once":false,"x":103,"y":177,"wires":[["827180cf.7d8e8"]]},{"id":"827180cf.7d8e8","type":"function","z":"b061b303.4f9e5","name":"Fields","func":"msg.payload = {\n    numValue: 123.0,\n    strValue: \"message\",\n    randomValue: Math.random()*10\n}\nreturn msg;","outputs":1,"noerr":0,"x":251,"y":177,"wires":[["c36cb4d6.3c9348"]]},{"id":"c36cb4d6.3c9348","type":"influxdb out","z":"b061b303.4f9e5","influxdb":"eba91e98.1456e","name":"","measurement":"test","x":421,"y":177,"wires":[]}]

The function node in the flow above consists of the following:

msg.payload = {
    numValue: 123.0,
    strValue: "message",
    randomValue: Math.random()*10
}
return msg;

If msg.payload is an array containing two objects, the first object will be written as the set of named fields, the second is the set of named tags.

For example, the following simple flow injects three fields as above, along with two tags, tag1 and tag2:

[{"id":"eba91e98.1456e","type":"influxdb","z":"b061b303.4f9e5","hostname":"127.0.0.1","port":"8086","database":"aTimeSeries","name":"aTimeSeries"},{"id":"7f25337e.80dacc","type":"inject","z":"b061b303.4f9e5","name":"","topic":"","payload":"","payloadType":"date","repeat":"","crontab":"","once":false,"x":101,"y":248,"wires":[["bb0ff0.ff44f01"]]},{"id":"bb0ff0.ff44f01","type":"function","z":"b061b303.4f9e5","name":"Fields and Tags","func":"msg.payload = [{\n    numValue: 12,\n    randomValue: Math.random()*10,\n    strValue: \"message2\"\n},\n{\n    tag1:\"sensor1\",\n    tag2:\"device2\"\n}];\nreturn msg;","outputs":1,"noerr":0,"x":272,"y":248,"wires":[["8e2713fa.71d8f"]]},{"id":"8e2713fa.71d8f","type":"influxdb out","z":"b061b303.4f9e5","influxdb":"eba91e98.1456e","name":"","measurement":"test","x":460,"y":248,"wires":[]}]

The function node consists of the following code:

msg.payload = [{
    numValue: 12,
    randomValue: Math.random()*10,
    strValue: "message2"
},
{
    tag1:"sensor1",
    tag2:"device2"
}];
return msg;

Finally, if msg.payload is an array of arrays, it will be written as a series of points containing fields and tags.

For example, the following flow injects two points with timestamps specified.

[{"id":"eba91e98.1456e","type":"influxdb","z":"b061b303.4f9e5","hostname":"127.0.0.1","port":"8086","database":"aTimeSeries","name":"aTimeSeries"},{"id":"9555a67c.6aaa58","type":"function","z":"b061b303.4f9e5","name":"multiple readings","func":"msg.payload = [\n    [{\n        numValue: 10,\n        randomValue: Math.random()*10,\n        strValue: \"message1\",\n        time: new Date(\"2015-12-28T19:41:13Z\").getTime()\n    },\n    {\n        tag1:\"sensor1\",\n        tag2:\"device2\"\n    }],\n    [{\n        numValue: 20,\n        randomValue: Math.random()*10,\n        strValue: \"message2\",\n        time: new Date(\"2015-12-28T19:41:14Z\").getTime()\n    },\n    {\n        tag1:\"sensor1\",\n        tag2:\"device2\"\n    }]\n];\nreturn msg;","outputs":1,"noerr":0,"x":278,"y":335,"wires":[["f485378d.0b7ac8"]]},{"id":"68b911d9.9746f","type":"inject","z":"b061b303.4f9e5","name":"","topic":"","payload":"","payloadType":"date","repeat":"","crontab":"","once":false,"x":104,"y":335,"wires":[["9555a67c.6aaa58"]]},{"id":"f485378d.0b7ac8","type":"influxdb out","z":"b061b303.4f9e5","influxdb":"eba91e98.1456e","name":"","measurement":"test","x":479,"y":334,"wires":[]}]

The function node in the above flow looks as follows:

msg.payload = [
    [{
        numValue: 10,
        randomValue: Math.random()*10,
        strValue: "message1",
        time: new Date("2015-12-28T19:41:13Z").getTime()
    },
    {
        tag1:"sensor1",
        tag2:"device2"
    }],
    [{
        numValue: 20,
        randomValue: Math.random()*10,
        strValue: "message2",
        time: new Date("2015-12-28T19:41:14Z").getTime()
    },
    {
        tag1:"sensor1",
        tag2:"device2"
    }]
];
return msg;

Note how timestamps are specified - the number of milliseconds since 1 January 1970 00:00:00 UTC. In this case do not forget to set "ms" in "Time Precision" (Advanced Query Options) of the "Influx Out Node".

The Batch Output Node

The batch output node (influx batch) sends a list of points together in a batch to InfluxDB in a slightly different format from the output node, more in line with the underlying node.js influx library version 5.x. In each point you must specify the measurement name to write into as well as a list of tag and field values. Optionally, you can specify the time to tag that point at, defaulting to the current time.

Under the hood we are calling the node influxdb 5.x library writePoints() call as documented here.

By default the node will write timestamps using ms precision since that's what JavaScript gives us. if you specify the timestamp as a Date object, we'll convert it to milliseconds.

If you provide a string or number as the timestamp, we'll pass it straight into Influx to parse using the specified precision, or the default precision in nanoseconds if it is left unspecified.

Note that the default precision is nanoseconds, so if you pass in a number such as date.getTime(), and do not specify millisecond precision, your timestamp will be orders of magnitude incorrect.

The following example flow writes two points to two measurements, setting the timestamp to the current date.

[{"id":"4a271a88.499184","type":"function","z":"87205ed6.329bc","name":"multiple measurement points","func":"msg.payload = [\n    {\n        measurement: \"weather_sensor\",\n        fields: {\n            temp: 5.5,\n            light: 678,\n            humidity: 51\n        },\n        tags:{\n            location:\"garden\"\n        },\n        timestamp: new Date()\n    },\n    {\n        measurement: \"alarm_sensor\",\n        fields: {\n            proximity: 999,\n            temp: 19.5\n        },\n        tags:{\n            location:\"home\"\n        },\n        timestamp: new Date()\n    }\n];\nreturn msg;","outputs":1,"noerr":0,"x":400,"y":280,"wires":[["748a06bd.675ed8"]]},{"id":"6493a442.1cdcbc","type":"inject","z":"87205ed6.329bc","name":"","topic":"","payload":"","payloadType":"date","repeat":"","crontab":"","once":false,"x":140,"y":220,"wires":[["4a271a88.499184"]]},{"id":"748a06bd.675ed8","type":"influxdb batch","z":"87205ed6.329bc","influxdb":"6ca8bde.9eb2f44","name":"","x":670,"y":220,"wires":[]},{"id":"6ca8bde.9eb2f44","type":"influxdb","z":"","hostname":"localhost","port":"8086","protocol":"https","database":"new_db","name":"","usetls":true,"tls":"f7f39f4e.896ae"},{"id":"f7f39f4e.896ae","type":"tls-config","z":"","name":"local-tls","cert":"","key":"","ca":"","certname":"","keyname":"","caname":"","verifyservercert":false}]

The function node generates sample points as follows:

msg.payload = [
    {
        measurement: "weather_sensor",
        fields: {
            temp: 5.5,
            light: 678,
            humidity: 51
        },
        tags:{
            location:"garden"
        },
        timestamp: new Date()
    },
    {
        measurement: "alarm_sensor",
        fields: {
            proximity: 999,
            temp: 19.5
        },
        tags:{
            location:"home"
        },
        timestamp: new Date()
    }
];
return msg;

Catching Failed Reads and Writes

Errors in reads and writes can be caught using the node-red catch node as usual. Standard error information is availlable in the default msg.error field; additional information about the underlying error is in the msg.influx_error field. Currently, this includes the HTTP status code returned from the influxdb server. The influx-read node will always throw a 503, whereas the write nodes will include other status codes as detailed in the Influx API documentation.