Henning Rauch cosh
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| //The top level request | |
| GetRelevantTimeseriesData('3000000004') | |
| //Creates a function to joins data from SQL, ADT and ADX | |
| .create-or-alter function with (folder = "Analytics/IoT", skipvalidation = "true") GetRelevantTimeseriesData(purchaseOrder:string) { | |
| let productionOrder = GetProductionOrderData(purchaseOrder); | |
| let plantID = toscalar (productionOrder | project tostring(Plant_Code)); | |
| let lineID = toscalar (productionOrder | project tostring(Mfg_Line)); | |
| let productionDate = toscalar (productionOrder | project todatetime(Date)); | |
| let startDate = productionDate - 24h; |
cosh
/ LightIngestCommand.kusto
Last active
June 6, 2023 22:31
How to partition data for ingestion to Kusto
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| LightIngest.exe "https://ingest-<clusterName>.<region>.kusto.windows.net/;Fed=True" -database:"<databaseName>" -table:"tableName" -source:"https://<storageAccountName>.blob.core.windows.net/<containerName><sasToken>" -format:"parquet" -prefix:"<folderPrefix>" -pattern:"*.parquet" -ingestionMappingRef:"<mappingName" -creationTimePattern:"day='yyyyMMdd'/" -dontWait:true |
cosh
/ knn-geo.kql
Last active
May 24, 2023 09:29
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| let telemetryData = datatable (deviceid: string, ts: datetime, latitude: real, longitude: real) [ | |
| "alice",datetime(2022-11-07T23:11:19Z),real(47.6423771),real(-122.1267281), | |
| "alice",datetime(2022-11-07T23:11:20Z),real(47.6424771),real(-122.1277281), | |
| "alice",datetime(2022-11-07T23:11:21Z),real(47.6425771),real(-122.1287281), | |
| "bob",datetime(2022-11-07T23:11:19Z),real(47.6424771),real(-122.1287281), | |
| "bob",datetime(2022-11-07T23:11:20Z),real(47.6424771),real(-122.1287281), | |
| "carol",datetime(2022-11-07T23:11:22Z),real(47.6423771),real(-122.1267281), | |
| "carol",datetime(2022-11-07T23:11:22Z),real(47.6523771),real(-122.1267281), | |
| "carol",datetime(2022-11-07T23:11:24Z),real(47.6623771),real(-122.1267281), | |
| "dave",datetime(2022-11-07T23:11:24Z),real(47.644205),real(-122.1412026), |
cosh
/ GraphPlotly.kql
Last active
February 28, 2024 17:07
A stored function that uses the evaluate python operator to execute a Python script that uses the plotly, networkx and pandas libraries to create a plotly viz object from the input tables. The function also adds some styling and annotations to the graph object, such as colors, sizes, hover texts, etc. It uses the replace_string function to inser…
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| .create-or-alter function with (skipvalidation = "true") VisualizeGraphPlotly( | |
| E:(sourceId:long,targetId:long), N:(nodeId:long), | |
| pLayout:string="spring_layout", pColorscale:string="Picnic", pTitle:string="Happy kraphing!") { | |
| let pythonCodeBlueprint = ``` | |
| import numpy as np | |
| import pandas as pd | |
| import plotly.graph_objects as go | |
| import networkx as nx | |
| G = nx.Graph() |
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| { | |
| "clusters": [ | |
| { | |
| "subscription_id": "sid", | |
| "resource_group_name": "kusto-workload", | |
| "cluster_name": "adx-in-vnet" | |
| }, | |
| { | |
| "subscription_id": "sid", | |
| "resource_group_name": "kusto-workload", |
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