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sf-police-incidents-azure.json
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{
"paragraphs":[
{
"title":"Load the data and manipulate the data (drop invalid lines, create the DF)",
"text":"%spark\n\n// load the csv into a Data Frame\nval incidentsDF = spark.read\n .format(\"csv\")\n .option(\"header\", \"true\") //reading the headers\n .option(\"mode\", \"DROPMALFORMED\") // drops the malformed lines\n .load(\"wasb://[[your-blob-container]]@[[your-azure-storage-account]].blob.core.windows.net/Police_Department_Incidents.csv\")\n\n// check the number of rows\nincidentsDF.count\n",
"dateUpdated":"2018-01-31T20:49:43+0000",
"config":{
"tableHide":false,
"editorSetting":{
"language":"scala",
"editOnDblClick":false
},
"colWidth":12,
"editorMode":"ace/mode/scala",
"fontSize":9,
"title":true,
"results":{
},
"enabled":true
},
"settings":{
"params":{
},
"forms":{
}
},
"results":{
"code":"SUCCESS",
"msg":[
{
"type":"TEXT",
"data":"incidentsDF: org.apache.spark.sql.DataFrame = [IncidntNum: string, Category: string ... 11 more fields]\nres1: Long = 122544\n"
}
]
},
"apps":[
],
"jobName":"paragraph_1517431769787_2614713",
"id":"20171108-161442_1928064495",
"dateCreated":"2018-01-31T20:49:29+0000",
"status":"FINISHED",
"progressUpdateIntervalMs":500,
"focus":true,
"$$hashKey":"object:272",
"user":"anonymous",
"dateFinished":"2018-01-31T20:54:50+0000",
"dateStarted":"2018-01-31T20:49:43+0000",
"runtimeInfos":{
"jobUrl":{
"propertyName":"jobUrl",
"label":"SPARK JOB",
"tooltip":"View in Spark web UI",
"group":"spark",
"values":[
"http://zri-2cxx5tw2h--2d823755h-1517431785238-driver-svc.default.svc.cluster.local:4040/jobs/job/?id=0",
"http://zri-2cxx5tw2h--2d823755h-1517431785238-driver-svc.default.svc.cluster.local:4040/jobs/job/?id=1"
],
"interpreterSettingId":"2CXX5TW2H"
}
}
},
{
"title":"Set up a map for displaying results on it (leaflet.js)",
"text":"%angular\n\n<link rel=\"stylesheet\" href=\"https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.5/leaflet.css\" />\n<div id=\"map\" style=\"height: 300px; width: 500px\"></div>\n\n<script type=\"text/javascript\">\nfunction initMap() {\n var map = L.map('map').setView([37.00, -122.00], 3);\n\n L.tileLayer('http://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {\n attribution: 'Map data © <a href=\"http://openstreetmap.org\">OpenStreetMap</a> contributors',\n maxZoom: 12,\n minZoom: 3\n }).addTo(map);\n\n var geoMarkers = L.layerGroup().addTo(map);\n \n var el = angular.element($('#map').parent('.ng-scope'));\n angular.element(el).ready(function() {\n window.locationWatcher = el.scope().compiledScope.$watch('locations', function(newValue, oldValue) {\n geoMarkers.clearLayers(); //-- if you want to only show new data clear the layer first\n angular.forEach(newValue, function(incident) {\n console.log('Data: ' + incident.values[0]+'|'+ incident.values[2])\n var marker = L.marker([ incident.values[3],incident.values[2] ])\n .bindPopup(incident.values[1] + \", Date: \"+incident.values[4])\n .addTo(geoMarkers);\n });\n })\n });\n}\n\nif (window.locationWatcher) {\n // clear existing watcher otherwise we'll have duplicates\n window.locationWatcher();\n}\n\n// ensure we only load the script once, seems to cause issues otherwise\nif (window.L) {\n initMap();\n} else {\n console.log('Loading Leaflet library');\n var sc = document.createElement('script');\n sc.type = 'text/javascript';\n sc.src = 'https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.5/leaflet.js';\n sc.onload = initMap;\n sc.onerror = function(err) { alert(err); }\n document.getElementsByTagName('head')[0].appendChild(sc);\n}\n</script>\n",
"dateUpdated":"2018-01-31T21:05:12+0000",
"config":{
"tableHide":false,
"editorSetting":{
"language":"text",
"editOnDblClick":true
},
"colWidth":12,
"editorMode":"ace/mode/undefined",
"editorHide":true,
"fontSize":9,
"title":true,
"results":{
},
"enabled":true
},
"settings":{
"params":{
},
"forms":{
}
},
"results":{
"code":"SUCCESS",
"msg":[
{
"type":"ANGULAR",
"data":"<link rel=\"stylesheet\" href=\"https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.5/leaflet.css\" />\n<div id=\"map\" style=\"height: 300px; width: 500px\"></div>\n\n<script type=\"text/javascript\">\nfunction initMap() {\n var map = L.map('map').setView([37.00, -122.00], 3);\n\n L.tileLayer('http://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {\n attribution: 'Map data © <a href=\"http://openstreetmap.org\">OpenStreetMap</a> contributors',\n maxZoom: 12,\n minZoom: 3\n }).addTo(map);\n\n var geoMarkers = L.layerGroup().addTo(map);\n \n var el = angular.element($('#map').parent('.ng-scope'));\n angular.element(el).ready(function() {\n window.locationWatcher = el.scope().compiledScope.$watch('locations', function(newValue, oldValue) {\n geoMarkers.clearLayers(); //-- if you want to only show new data clear the layer first\n angular.forEach(newValue, function(incident) {\n console.log('Data: ' + incident.values[0]+'|'+ incident.values[2])\n var marker = L.marker([ incident.values[3],incident.values[2] ])\n .bindPopup(incident.values[1] + \", Date: \"+incident.values[4])\n .addTo(geoMarkers);\n });\n })\n });\n}\n\nif (window.locationWatcher) {\n // clear existing watcher otherwise we'll have duplicates\n window.locationWatcher();\n}\n\n// ensure we only load the script once, seems to cause issues otherwise\nif (window.L) {\n initMap();\n} else {\n console.log('Loading Leaflet library');\n var sc = document.createElement('script');\n sc.type = 'text/javascript';\n sc.src = 'https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.5/leaflet.js';\n sc.onload = initMap;\n sc.onerror = function(err) { alert(err); }\n document.getElementsByTagName('head')[0].appendChild(sc);\n}\n</script>"
}
]
},
"apps":[
],
"jobName":"paragraph_1517431769796_-901001089",
"id":"20171108-104917_2003412743",
"dateCreated":"2018-01-31T20:49:29+0000",
"status":"FINISHED",
"progressUpdateIntervalMs":500,
"$$hashKey":"object:273",
"user":"anonymous",
"dateFinished":"2018-01-31T21:05:14+0000",
"dateStarted":"2018-01-31T21:05:12+0000"
},
{
"title":"Display the latest 100 incidents (Spark DF api)",
"text":"%spark\n\nvar resDF = incidentsDF.select(\"IncidntNum\", \"Category\", \"X\", \"Y\",\"Date\",\"Time\").orderBy(desc(\"Date\")).orderBy(desc(\"Time\"))\n\nz.angularBind(\"locations\", resDF.head(100)) // this is what sends the data to the frontend\n",
"dateUpdated":"2018-01-31T21:05:17+0000",
"config":{
"tableHide":false,
"editorSetting":{
"language":"scala",
"editOnDblClick":false
},
"colWidth":12,
"editorMode":"ace/mode/scala",
"fontSize":9,
"title":true,
"results":{
"0":{
"graph":{
"mode":"table",
"height":438,
"optionOpen":false
}
}
},
"enabled":true
},
"settings":{
"params":{
},
"forms":{
}
},
"results":{
"code":"SUCCESS",
"msg":[
{
"type":"TEXT",
"data":"resDF: org.apache.spark.sql.Dataset[org.apache.spark.sql.Row] = [IncidntNum: string, Category: string ... 4 more fields]\n"
}
]
},
"apps":[
],
"jobName":"paragraph_1517431769796_-732341426",
"id":"20171108-112715_119964082",
"dateCreated":"2018-01-31T20:49:29+0000",
"status":"FINISHED",
"progressUpdateIntervalMs":500,
"$$hashKey":"object:274",
"user":"anonymous",
"dateFinished":"2018-01-31T21:05:46+0000",
"dateStarted":"2018-01-31T21:05:17+0000",
"runtimeInfos":{
"jobUrl":{
"propertyName":"jobUrl",
"label":"SPARK JOB",
"tooltip":"View in Spark web UI",
"group":"spark",
"values":[
"http://zri-2cxx5tw2h--2d823755h-1517431785238-driver-svc.default.svc.cluster.local:4040/jobs/job/?id=2",
"http://zri-2cxx5tw2h--2d823755h-1517431785238-driver-svc.default.svc.cluster.local:4040/jobs/job/?id=3"
],
"interpreterSettingId":"2CXX5TW2H"
}
}
},
{
"title":"Display the first 100 incidents for a given category (Spark SQL)",
"text":"%spark\n\n// register the data as a temp table\nincidentsDF.registerTempTable(\"incidents\")\n\nval sqlDF = spark.sql(\"SELECT IncidntNum, Category, X, Y FROM incidents\")\nz.angularBind(\"locations\", sqlDF.head(100)) // this is what sends the data to the frontend\n\n",
"dateUpdated":"2018-01-31T20:49:29+0000",
"config":{
"tableHide":false,
"editorSetting":{
"language":"scala",
"editOnDblClick":false
},
"colWidth":12,
"editorMode":"ace/mode/scala",
"editorHide":false,
"fontSize":9,
"title":true,
"results":{
"0":{
"graph":{
"mode":"table",
"height":438,
"optionOpen":false
}
}
},
"enabled":true
},
"settings":{
"params":{
},
"forms":{
}
},
"results":{
"code":"SUCCESS",
"msg":[
{
"type":"TEXT",
"data":"warning: there was one deprecation warning; re-run with -deprecation for details\nsqlDF: org.apache.spark.sql.DataFrame = [IncidntNum: string, Category: string ... 2 more fields]\n"
}
]
},
"apps":[
],
"jobName":"paragraph_1517431769798_-1614184422",
"id":"20171110-121044_1386039675",
"dateCreated":"2018-01-31T20:49:29+0000",
"status":"READY",
"errorMessage":"",
"progressUpdateIntervalMs":500,
"$$hashKey":"object:275"
},
{
"text":"%sql \nselect * from incidents limit 100\n",
"dateUpdated":"2018-01-31T20:49:29+0000",
"config":{
"tableHide":false,
"editorSetting":{
"language":"sql",
"editOnDblClick":false
},
"colWidth":12,
"editorMode":"ace/mode/sql",
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"results":{
"0":{
"graph":{
"mode":"table",
"height":300,
"optionOpen":false,
"setting":{
"stackedAreaChart":{
"style":"stream"
}
},
"commonSetting":{
},
"keys":[
{
"name":"incidNum",
"index":0,
"aggr":"sum"
}
],
"groups":[
],
"values":[
{
"name":"count(1)",
"index":1,
"aggr":"sum"
}
]
},
"helium":{
}
}
},
"enabled":true
},
"settings":{
"params":{
},
"forms":{
}
},
"apps":[
],
"jobName":"paragraph_1517431769798_-1219651267",
"id":"20170904-175301_1676233597",
"dateCreated":"2018-01-31T20:49:29+0000",
"status":"READY",
"errorMessage":"",
"progressUpdateIntervalMs":500,
"$$hashKey":"object:276"
},
{
"text":"%sql\n",
"dateUpdated":"2018-01-31T20:49:29+0000",
"config":{
"tableHide":false,
"editorSetting":{
"language":"sql",
"editOnDblClick":false
},
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"jobName":"paragraph_1517431769799_1404746375",
"id":"20171107-170825_82319106",
"dateCreated":"2018-01-31T20:49:29+0000",
"status":"READY",
"errorMessage":"",
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"$$hashKey":"object:277"
}
],
"name":"sf-police-incidents",
"id":"2D823755H",
"noteParams":{
},
"noteForms":{
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"angularObjects":{
},
"config":{
"looknfeel":"default",
"personalizedMode":"false"
},
"info":{
}
}