Azure Data Explorer (ADX)
Marple integrates seamlessly with ADX, a powerful time-series database optimised for large-scale telemetry data.
Required credentials
To connect, the following credentials are needed:
// example
{
"appId": "8aa131d-dac5-429d-ada2-95adbc83b",
"appKey": "anv8Q~TJ6ubna15TCi.wAg9015EcDL",
"tenantId": "11344e0f-83d3-4b52-9a38-a6bbb1a360a4",
"dbName": "my-adx-database",
"dbHost": "https://myadxdatabase.westeurope.kusto.windows.net"
}
Queries
Queries are executed using Kusto Query Language (KQL). Marple offers predefined queries for fetching datasets, signals, and time-series data. Below are some example queries:
To retrieve datasets:
{{TABLE}}
{%- for key, values in metadata.items() %}
| where {{key}} in ('{{values|join("', '")}}')
{% endfor %}
| summarize
timestamp_start = min({{TIME_COLUMN}}),
timestamp_stop = max({{TIME_COLUMN}}),
by session, car, outing
| extend
display_name = strcat(session, ' | ', car, ' | ', outing),
realtime = (['acquisition type'] == 'Telemetry' and unixtime_seconds_todatetime(timestamp_stop) > ago(1m))
To retrieve a signal list:
{{TABLE}}
| where outing == '{{dataset.outing}}'
| summarize ['count'] = count()
by name=signal
To retrieve the time series data
{{TABLE}}
| where outing == '{{dataset.outing}}'
| where {{timestamp_start}} <= timestamp
| where {{timestamp_stop}} >= timestamp
| where signal == '{{signal.name}}'
| project name = signal, timestamp = timestamp, value = toreal(value)
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