Henning Rauch cosh
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| let jakh = "Just another Kusto hacker"; | |
| let base = range skip from 0 to strlen(jakh) step 1 | |
| | extend jakhString = jakh | |
| | extend ['char'] = substring(jakh, skip, 1) | |
| | project-away jakhString | |
| | project ['char'], id = strcat(['char'], skip) | |
| | serialize; | |
| let nodes = base | |
| | where isnotempty( next(id)); | |
| base |
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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", |
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() |
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
/ 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 |
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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
/ map.geojson
Last active
October 15, 2022 06:18
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| datatable(lng:real, lat:real) | |
| [ | |
| -73.956683, 40.807907, | |
| -73.916869, 40.818314, | |
| -73.989148, 40.743273, | |
| ] | |
| | project h3_hash = geo_point_to_h3cell(lng, lat, 6) | |
| | project h3_hash_polygon = geo_h3cell_to_polygon(h3_hash) | |
| | summarize h3_hash_polygon_lst = make_list(h3_hash_polygon) | |
| | project pack( |
cosh
/ map.geojson
Created
June 14, 2021 20:53
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cosh
/ geohash.kql
Created
June 14, 2021 20:51
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| // Geohash GeoJSON collection | |
| datatable(lng:real, lat:real) | |
| [ | |
| -73.975212, 40.789608, | |
| -73.916869, 40.818314, | |
| -73.989148, 40.743273, | |
| ] | |
| | project geohash = geo_point_to_geohash(lng, lat, 5) | |
| | project geohash_polygon = geo_geohash_to_polygon(geohash) | |
| | summarize geohash_polygon_lst = make_list(geohash_polygon) |
cosh
/ kustoH3.kql
Last active
June 14, 2021 20:08
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| let k = dynamic({"type":"Polygon","coordinates":[[[-68.02734375,27.137368359795584],[-65.91796875,27.059125784374068],[-65.830078125,33.797408767572485],[-61.34765625,26.980828590472107],[-58.27148437499999,27.059125784374068],[-63.6328125,34.95799531086792],[-58.18359375,42.032974332441405],[-60.46875,42.09822241118974],[-65.91796875,34.95799531086792],[-65.91796875,42.16340342422401],[-68.115234375,42.032974332441405],[-68.02734375,27.137368359795584]]]}); | |
| let u = dynamic({"type":"Polygon","coordinates":[[[-53.0859375,27.137368359795584],[-50.2734375,27.137368359795584],[-47.548828125,28.3],[-46.40625,30],[-46.142578125,42.16340342422401],[-48.33984375,42.16340342422401],[-48.7,31],[-50.009765625,29.611670115197377],[-52.64648437499999,29.38217507514529],[-53.701171875,29.611670115197377],[-55.634765625,30.600093873550072],[-55.810546875,42.16340342422401],[-57.83203125,41.96765920367816],[-58.095703125,29.7],[-56.51367187499999,28.2],[-55.37109374999999,27.7],[-53.0859375,27.137368359795584]]]}); | |
| let s = d |
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