StableNet queries

This section applies to systems integrated with StableNet® only

StableNet® data can be queried from an aggregated data set on a local SKOOR database as well as in real time from the StableNet® API. The following guidelines help to combine and optimize these two methods.

Prepare a materialized data query for devices and measurements

The following example query delivers basic data for use with a FilterMatrix widget (e.g. filter for devices or measurements) as well as to join measurement data from the StableNet® API or the aggregated data table. The data source must be set to one of type StableNet.

-- Data query example "device_measurement"

SELECT   
  std.id AS device_id,
  std.display_name AS device_name,
  sm.id as measurement_id,
  sm.name as measurement_name
FROM stablenet_taggable_device std
JOIN stablenet_measurement sm 
  ON std.id = sm.dest_device_id

Because device and measurement data will not change very often, this query should be materialized. Performance will be increased significantly.

Set the refresh interval to daily and create indices for all attributes:

image-20240513-142234.png

Join foreign table for realtime data

On top of the prepared materialized data query, data from the StableNet® API can be joined using a foreign table.

The FROM keyword in the following example points to the materialized query prepared above.

SELECT   
  dm.device_id,
  dm.device_name,
  dm.measurement_name,
  dm.measurement_id,
  sma.metric_key,
  sma.metric_name,
  sma.interval,
  sma.min,
  sma.max,
  sma.avg,
  sma.timestamp
FROM device_measurement dm
JOIN stablenet_measurement_data sma 
  ON dm.measurement_id = sma.measurement_id
WHERE sma.start = ${begin}::timestamptz
  AND sma."end" = ${end}::timestamptz
  AND sma.bucket_size = EXTRACT(
    EPOCH FROM ('1 ' || ${bucket_size})::interval
  )::integer
  AND sma.metric_name = ${metric_name}

In the dashboard or the data preview, the following attributes must be set for this example query:

image-20240516-132209.png
  • begin/end: ISO 8601 timestamp, e.g. 2024-05-01T00:00:00Z

  • bucket_size: Time bucket in words like hour, day, month, etc.

  • metric_name: A valid StableNet® metric name like Round Trip Time

Instead of the metric_name, try the metric_key attribute in the WHERE clause to select a specific metric if more than one is available

Join aggregated data table

If performance is more important than realtime data, the aggregated data table should be preferred over the foreign tables.

The FROM keyword in the following example points to the materialized query prepared above.

SELECT   
  dm.device_id,
  dm.device_name,
  dm.measurement_name,
  dm.measurement_id,
  sma.metric_key,
  sma.metric_name,
  sma.interval,
  sma.min,
  sma.max,
  sma.avg,
  sma.timestamp
FROM device_measurement dm
JOIN stablenet_measurement_data_aggregated sma 
  ON dm.measurement_id = sma.measurement_id
WHERE sma.timestamp BETWEEN ${begin}::timestamptz AND ${end}::timestamptz
  AND sma.metric_name = ${metric_name}

In the dashboard or the data preview, the following attributes must be set for this example query:

image-20240516-132037.png
  • begin/end: ISO 8601 timestamp, e.g. 2024-05-01T00:00:00Z

  • metric_name: A valid StableNet® metric name like Round Trip Time

Instead of the metric_name, try the metric_key attribute in the WHERE clause to select a specific metric if more than one is available

Foreign Tables

Name

Fields

Qualifiers

stablenet_info

server_name TEXT
name TEXT
version TEXT
technical_version TEXT

 

stablenet_taggable

server_name TEXT
domain TEXT
id BIGINT
name TEXT
display_name TEXT
state TEXT
attribute_tags JSONB
custom_tags JSONB
tag_filter TEXT

domain TEXT (mandatory)
id BIGINT
tag_filter TEXT

stablenet_taggable_device

server_name TEXT
id BIGINT
name TEXT
display_name TEXT
state TEXT
attribute_tags JSONB
custom_tags JSONB
tag_filter TEXT

id BIGINT
tag_filter TEXT

stablenet_taggable_interface

server_name TEXT
id BIGINT
name TEXT
display_name TEXT
state TEXT
attribute_tags JSONB
custom_tags JSONB
tag_filter TEXT

id BIGINT
tag_filter TEXT

stablenet_taggable_job

server_name TEXT
id BIGINT
name TEXT
display_name TEXT
state TEXT
attribute_tags JSONB
custom_tags JSONB
tag_filter TEXT

id BIGINT
tag_filter TEXT

stablenet_taggable_link

server_name TEXT
id BIGINT
name TEXT
display_name TEXT
state TEXT
attribute_tags JSONB
custom_tags JSONB
tag_filter TEXT

id BIGINT
tag_filter TEXT

stablenet_taggable_service

server_name TEXT
id BIGINT
name TEXT
display_name TEXT
state TEXT
attribute_tags JSONB
custom_tags JSONB
tag_filter TEXT

id BIGINT
tag_filter TEXT

stablenet_taggable_agent

server_name TEXT
id BIGINT
name TEXT
display_name TEXT
state TEXT
attribute_tags JSONB
custom_tags JSONB
tag_filter TEXT

id BIGINT
tag_filter TEXT

stablenet_tag_category

server_name TEXT
domain TEXT
id BIGINT
name TEXT
description TEXT

domain TEXT (mandatory)
id BIGINT

 

stablenet_measurement

server_name TEXT
id BIGINT
name TEXT
description TEXT
categories JSONB
dest_device_id BIGINT
dest_interface_id BIGINT
agent_id BIGINT
start_time TIMESTAMPTZ
end_time TIMESTAMPTZ
state TEXT
type TEXT
template_name TEXT
permanent BOOL
payload JSONB
active BOOL
tag_filter TEXT

tag_filter TEXT
dest_device_id BIGINT

stablenet_measurement_metric

server_name TEXT
measurement_id BIGINT
data_id BIGINT
description TEXT
expected_interval INT
key TEXT
name TEXT
only_average BOOL
unit TEXT

measurement_id BIGINT

stablenet_measurement_data

server_name TEXT
measurement_id BIGINT
metric_key TEXT
metric_name TEXT
"start" TIMESTAMPTZ
"end" TIMESTAMPTZ
bucket_size INT (seconds)
"timestamp" TIMESTAMPTZ
min double precision
max double precision
avg double precision
tag_filter TEXT

measurement_id BIGINT
metric_key TEXT
"start" TIMESTAMPTZ (mandatory)
"end" TIMESTAMPTZ (mandatory)
bucket_size INT (mandatory)
tag_filter TEXT

 

Although measurement_id and metric_key are optional, it’s not recommended to execute queries without. Doing so reads measurement data of all measurements and all metrics which might take a long time to read and puts some heavy load on the StableNet server. Only advisable for very short time ranges < 1h. If multiple measurements and metrics are needed, table stablenet_measurement_data_aggregated should be used.

Aggregated measurement data

Aggregated by hour, automatically updated every hour. Can be used to perform analytics queries over a wide range of measurements and over large time ranges.

Is basically a Timescale hypertable (https://docs.timescale.com/ ). Chunk size is 7 days, chunks are compressed after 7 days.

Name

Fields

stablenet_measurement_data_aggregated

server_name TEXT
measurement_id BIGINT
metric_key TEXT
metric_name TEXT
"timestamp" TIMESTAMPTZ NOT NULL
min double precision
max double precision
avg double precision

stablenet_measurement_data_aggregated only contains data for configured metric keys.