InfluxDB adapter for the Juttle data flow language, with read & write support.
Currently supports InfluxDB 0.9 and 0.10.
Read entries from the cpu
measurement where the host
tag is www123
:
read influx -db 'test' name='cpu' host='www123' | view text
Perform an equivalent query using the -raw option:
read influx -db 'test' -raw "SELECT * FROM cpu where host='www123' | view text
Write a single point into the cpu
measurement:
emit -points [{ value: 0.01, host: 'www123', name: 'cpu' }] | write influx -db 'test'
An end-to-end example is described here and deployed to the demo system demo.juttle.io.
Like Juttle itself, the adapter is installed as a npm package. Both Juttle and the adapter need to be installed side-by-side:
$ npm install juttle
$ npm install juttle-influx-adapter
The adapter needs to be registered and configured so that it can be used from
within Juttle. To do so, add the following to your ~/.juttle/config.json
file:
{
"adapters": {
"influx": {
"url": "http://localhost:8086/"
}
}
}
The URL in the url
key should point to the API url of your InfluxDB instance.
Influx adapter supports HTTP basic authentication. To use it, modify the url
key to include the username and password:
{
"adapters": {
"influx": {
"url": "http://username:password@localhost:8086/"
}
}
}
When reading data, most of the InfluxQL SELECT syntax is expressible through Juttle filter expressions.
Alternatively, raw queries are also available as a fallback.
Name | Type | Required | Description |
---|---|---|---|
db |
string | yes | database to use |
raw |
string | no | send a raw InfluxQL query to InfluxDB |
fields |
string | no | fields to select from the measurement (default: all) |
nameField |
string | no | if specified, measurement name will be saved in a point field with this name (default: 'name') |
from |
moment | no | select points after this time (inclusive) |
to |
moment | no | select points before this time (exclusive) |
The filter expressions can be placed after the above options in read influx
. Supported filters are:
fieldname = value
for both tags and field values (also,!=
, and<
/>
for numbers)fieldname ~ '*glob*'
wildcard matching (also,!~
) for string fieldsfieldname =~ /regex/
regex matching (also,!~
) for string fieldsfieldname in [v1, v2]
array inclusion- combining filter expressions with
AND
,OR
,NOT
Influx adapter does not support full text search, or nullness checks.
Name | Type | Required | Description |
---|---|---|---|
db |
string | yes | database to use |
intFields |
array | no | lists fields to be stored as integers instead of floats (default: none) |
valFields |
array | no | lists fields to be stored as values instead of tags (default: all non-string fields) |
nameField |
string | no | points will be checked for this field and its value will be used as the measurement name (default: 'name') |
Note: when storing points, the following conventions are used:
-
All fields whose values are strings are treated as tags. and all fields with numeric types are treated as fields. You can override this behavior using the
valueFields
option. For example,... | write influx -valueFields 'foo', 'bar'
will treatfoo
andbar
as fields, not tags. -
InfluxDB distinguishes between integers and floating point numeric types. By default, the adapter stores all numeric fields as floats. This can be changed by enumerating integer fields via
intFields
option.
Whenever the influx adapter can shape the entire Juttle flowgraph or its portion into an InfluxDB query, it will do so, sending the execution to InfluxDB, so only the matching data will come back into Juttle runtime. The portion of the program expressed in read influx
is always executed as an InfluxDB query; the downstream Juttle processors may be optimized as well.
List of optimized operations:
- any filter expression as part of
read influx
(note:read influx | filter ...
is not optimized) head
ortail
Other operations such as reduce
and sort
are not currently optimized.
In case of unexpected behavior with optimized reads, add -optimize false
option to read influx
to disable optimizations, and kindly report the problem as a GitHub issue.
Want to contribute? Awesome! Don’t hesitate to file an issue or open a pull request.