Merge remote-tracking branch 'upstream/master' into bug/string-to-number-auto-convertion

-before_install:
-  - sudo rm -f /etc/mavenrc
-  - export M2_HOME=/usr/local/maven
-  - export MAVEN_OPTS="-Dmaven.repo.local=$HOME/.m2/repository -Xms1024m -Xmx3072m"
-  - export HTTP_LOG_CONTROLLER_ERROR_STACK_TRACE=false
-jdk:
- - openjdk8
-language: java
-sudo: required
-services:
-  - docker
-script: mvn clean verify -Ddockerfile.skip=false

@@ -6,19 +6,19 @@
   },
   "widgetTypes": [
     {
-      "alias": "openstreetmap",
-      "name": "OpenStreetMap",
+      "alias": "route_map_tencent_maps",
+      "name": "Route Map - Tencent Maps",
       "descriptor": {
-        "type": "latest",
+        "type": "timeseries",
         "sizeX": 8.5,
         "sizeY": 6,
         "resources": [],
         "templateHtml": "",
-        "templateCss": ".leaflet-zoom-box {\n\tz-index: 9;\n}\n\n.leaflet-pane         { z-index: 4; }\n\n.leaflet-tile-pane    { z-index: 2; }\n.leaflet-overlay-pane { z-index: 4; }\n.leaflet-shadow-pane  { z-index: 5; }\n.leaflet-marker-pane  { z-index: 6; }\n.leaflet-tooltip-pane   { z-index: 7; }\n.leaflet-popup-pane   { z-index: 8; }\n\n.leaflet-map-pane canvas { z-index: 1; }\n.leaflet-map-pane svg    { z-index: 2; }\n\n.leaflet-control {\n\tz-index: 9;\n}\n.leaflet-top,\n.leaflet-bottom {\n\tz-index: 11;\n}\n\n.tb-marker-label {\n    border: none;\n    background: none;\n    box-shadow: none;\n}\n\n.tb-marker-label:before {\n    border: none;\n    background: none;\n}\n",
-        "controllerScript": "self.onInit = function() {\n    self.ctx.map = new TbMapWidgetV2('openstreet-map', false, self.ctx);\n}\n\nself.onDataUpdated = function() {\n    self.ctx.map.update();\n}\n\nself.onResize = function() {\n    self.ctx.map.resize();\n}\n\nself.getSettingsSchema = function() {\n    return TbMapWidgetV2.settingsSchema('openstreet-map');\n}\n\nself.getDataKeySettingsSchema = function() {\n    return TbMapWidgetV2.dataKeySettingsSchema('openstreet-map');\n}\n\nself.actionSources = function() {\n    return TbMapWidgetV2.actionSources();\n}\n\nself.onDestroy = function() {\n}\n\nself.typeParameters = function() {\n    return {\n        hasDataPageLink: true\n    };\n}",
+        "templateCss": ".error {\n    color: red;\n}\n.tb-labels {\n  color: #222;\n  font: 12px/1.5 \"Helvetica Neue\", Arial, Helvetica, sans-serif;\n  text-align: center;\n  width: 200px;\n  white-space: nowrap;\n}",
+        "controllerScript": "self.onInit = function() {\n    self.ctx.map = new TbMapWidgetV2('tencent-map', true, self.ctx);\n}\n\nself.onDataUpdated = function() {\n    self.ctx.map.update();\n}\n\nself.onResize = function() {\n    self.ctx.map.resize();\n}\n\nself.getSettingsSchema = function() {\n    return TbMapWidgetV2.settingsSchema('tencent-map', true);\n}\n\nself.getDataKeySettingsSchema = function() {\n    return TbMapWidgetV2.dataKeySettingsSchema('tencent-map', true);\n}\n\nself.actionSources = function() {\n    return TbMapWidgetV2.actionSources();\n}\n\nself.onDestroy = function() {\n}\n\nself.typeParameters = function() {\n    return {\n        hasDataPageLink: true\n    };\n}",
         "settingsSchema": "{}",
         "dataKeySettingsSchema": "{}\n",
-        "defaultConfig": "{\"datasources\":[{\"type\":\"function\",\"name\":\"First point\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#2196f3\",\"settings\":{},\"_hash\":0.05427416942713381,\"funcBody\":\"var value = prevValue || 15.833293;\\nif (time % 5000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#4caf50\",\"settings\":{},\"_hash\":0.680594833308841,\"funcBody\":\"var value = prevValue || -90.454350;\\nif (time % 5000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"temperature\",\"color\":\"#9c27b0\",\"settings\":{},\"_hash\":0.9430343126300238,\"funcBody\":\"var value = prevValue + Math.random() * 40 - 20;\\nif (value < -60) {\\n\\tvalue = -60;\\n} else if (value > 60) {\\n\\tvalue = 60;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"type\",\"color\":\"#8bc34a\",\"settings\":{},\"_hash\":0.1784452363910778,\"funcBody\":\"return \\\"colorpin\\\";\"}]},{\"type\":\"function\",\"name\":\"Second point\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#f44336\",\"settings\":{},\"_hash\":0.05012157428742059,\"funcBody\":\"var value = prevValue || 14.450463;\\nif (time % 4000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#ffc107\",\"settings\":{},\"_hash\":0.6742359401617628,\"funcBody\":\"var value = prevValue || -84.845334;\\nif (time % 4000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"temperature\",\"color\":\"#8bc34a\",\"settings\":{},\"_hash\":0.773875863339494,\"funcBody\":\"var value = prevValue + Math.random() * 40 - 20;\\nif (value < -60) {\\n\\tvalue = -60;\\n} else if (value > 60) {\\n\\tvalue = 60;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"type\",\"color\":\"#3f51b5\",\"settings\":{},\"_hash\":0.405822538899673,\"funcBody\":\"return \\\"thermomether\\\";\"}]}],\"timewindow\":{\"realtime\":{\"timewindowMs\":60000}},\"showTitle\":true,\"backgroundColor\":\"#fff\",\"color\":\"rgba(0, 0, 0, 0.87)\",\"padding\":\"8px\",\"settings\":{\"fitMapBounds\":true,\"latKeyName\":\"latitude\",\"lngKeyName\":\"longitude\",\"showLabel\":true,\"label\":\"${entityName}\",\"tooltipPattern\":\"<b>${entityName}</b><br/><br/><b>Latitude:</b> ${latitude:7}<br/><b>Longitude:</b> ${longitude:7}<br/><b>Temperature:</b> ${temperature} °C<br/><small>See advanced settings for details</small>\",\"markerImageSize\":34,\"useColorFunction\":true,\"markerImages\":[\"data:image/png;base64,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\",\"data:image/png;base64,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\",\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAB4AAAB/CAYAAAD4mHJdAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAACWAAAAlgB7MGOJQAAABl0RVh0U29mdHdhcmUAd3d3Lmlua3NjYXBlLm9yZ5vuPBoAAAxNSURBVGiB7Zp7kFTllcB/5/a93dMz3T0PemYIDgoCPhZ5iaD4wNkFjQjRRMlLTNbSlKlyzZpobSVbFRPUbNVWSRCWuKvlxqybtbIrukp4SATZCAgospEBgeElj4EZ5t3d0+++37d/9O2ZnqEHQZzZSlXfqlMz/c253+875zvfOefeHuH8L6u83P+AwH0lJZ4pbrenEiCVSnYmEsndGl4NhSKvAJkLmPPcV0VFxZjKivKPv77wXr274WN9uvm0PnHihD5y9IhuPNioN216Vy+Yf6eurAj8b2Vl5aXnM6d8loLf7w9apvHhyy//29jZ9fW0t7fpdWtWN7Wdao4qpaiqDpbdXF9fV1paKpu3bGbxk08eSWXU9ZFIpOPirC33v7xs+TIdiUT0Pz239NjeaTOTHXXjdb4cuP6W5DOLFx/7aNdH+oknfqQryv0vXZTFfr8/GKyqaN7XeMhc//ba6NSfPFXqS6fESJ29jdGAX69+9KHY9OnTyxbec08mHInWhsPhzsHmNs4FNgxdf+NNN5sAh3/7n40dCxeKedUsOr6x8CzdsnBEQu9sPABwzTWTTMNQ9eec+1x/FDEuGTduHABXtreOKutJYyiFqq4tqD+5O3wJQF1dHSij7nODtdZuj9cLgMfGOpcuQInSFoDldqNFez43eCivIrgILoKL4CK4CC6Ci+AiuAgugovgIrgILoKL4CK4CC6Ci+A/B7B5vor6Mz4PNnbRYAAtoCQLUMMFVobuBWOALWdjVIGxiwbbZC3WkrXWLqAzJBZrR5T0LWTgdSHfdF1YcIlG57t8oM5nfov1OcCKPmDW1Rfi2IsA5yI5F9WFXF0o0i8arARwggsBu4BbhwaM6g0ujXY+9b+GLqrzLR5E5wsH2ziB5QRXoW8lCy3mosH553iwlDlEe9znai2DpMyhAJ+PxUNTJMhZm51+WM9xvs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type = dsData[dsIndex]['type'];\\nif (type == 'colorpin') {\\n\\tvar temperature = dsData[dsIndex]['temperature'];\\n\\tif (typeof temperature !== undefined) {\\n\\t    var percent = (temperature + 60)/120 * 100;\\n\\t    return tinycolor.mix('blue', 'red', amount = percent).toHexString();\\n\\t}\\n\\treturn 'blue';\\n}\\n\",\"markerImageFunction\":\"var type = dsData[dsIndex]['type'];\\nif (type == 'thermomether') {\\n\\tvar res = {\\n\\t    url: images[0],\\n\\t    size: 40\\n\\t}\\n\\tvar temperature = dsData[dsIndex]['temperature'];\\n\\tif (typeof temperature !== undefined) {\\n\\t    var percent = (temperature + 60)/120;\\n\\t    var index = Math.min(3, Math.floor(4 * percent));\\n\\t    res.url = images[index];\\n\\t}\\n\\treturn res;\\n}\",\"color\":\"#fe7569\",\"mapProvider\":\"OpenStreetMap.Mapnik\",\"showTooltip\":true,\"autocloseTooltip\":true,\"tooltipFunction\":\"var deviceType = dsData[dsIndex]['deviceType'];\\r\\nif (typeof deviceType !== undefined) {\\r\\n    if (deviceType == \\\"energy meter\\\") {\\r\\n        return '<b>${entityName}</b><br/><b>Energy:</b> ${energy:2} kWt<br/>';\\r\\n    } else if (deviceType == \\\"thermometer\\\") {\\r\\n        return '<b>${entityName}</b><br/><b>Temperature:</b> ${temperature:2} °C<br/>';\\r\\n    }\\r\\n}\",\"labelFunction\":\"var deviceType = dsData[dsIndex]['deviceType'];\\r\\nif (typeof deviceType !== undefined) {\\r\\n    if (deviceType == \\\"energy meter\\\") {\\r\\n        return '<span style=\\\"color:orange;\\\">${entityName}, ${energy:2} kWt</span>';\\r\\n    } else if (deviceType == \\\"thermometer\\\") {\\r\\n        return '<span style=\\\"color:blue;\\\">${entityName}, ${temperature:2} °C</span>';\\r\\n    }\\r\\n}\",\"provider\":\"openstreet-map\",\"defaultCenterPosition\":\"0,0\",\"showTooltipAction\":\"click\"},\"title\":\"OpenStreetMap\",\"dropShadow\":true,\"enableFullscreen\":true,\"titleStyle\":{\"fontSize\":\"16px\",\"fontWeight\":400},\"useDashboardTimewindow\":true,\"showLegend\":false,\"widgetStyle\":{},\"actions\":{}}"
+        "defaultConfig": "{\"datasources\":[{\"type\":\"function\",\"name\":\"First route\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#2196f3\",\"settings\":{},\"_hash\":0.5851719234007373,\"funcBody\":\"var lats = [37.7696499,\\n37.7699074,\\n37.7699536,\\n37.7697242,\\n37.7695189,\\n37.7696889,\\n37.7697153,\\n37.7701244,\\n37.7700604,\\n37.7705491,\\n37.7715705,\\n37.771752,\\n37.7707533,\\n37.769866];\\n\\nvar i = Math.floor((time/3 % 14000) / 1000);\\n\\nreturn lats[i];\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#4caf50\",\"settings\":{},\"_hash\":0.9015113051937396,\"funcBody\":\"var lons = [-122.4261215,\\n-122.4219157,\\n-122.4199623,\\n-122.4179074,\\n-122.4155876,\\n-122.4155521,\\n-122.4163203,\\n-122.4193876,\\n-122.4210496,\\n-122.422284,\\n-122.4232717,\\n-122.4235138,\\n-122.4247605,\\n-122.4258812];\\n\\nvar i = Math.floor((time/3 % 14000) / 1000);\\n\\nreturn lons[i];\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"Speed\",\"color\":\"#f44336\",\"settings\":{},\"_hash\":0.7253460349565717,\"funcBody\":\"var value = prevValue;\\nif (time % 500 < 100) {\\n    value = value + Math.random() * 40 - 20;\\n    if (value < 45) {\\n    \\tvalue = 45;\\n    } else if (value > 130) {\\n    \\tvalue = 130;\\n    }\\n}\\nreturn value;\"}]}],\"timewindow\":{\"realtime\":{\"timewindowMs\":60000}},\"showTitle\":true,\"backgroundColor\":\"#fff\",\"color\":\"rgba(0, 0, 0, 0.87)\",\"padding\":\"8px\",\"settings\":{\"fitMapBounds\":true,\"latKeyName\":\"latitude\",\"lngKeyName\":\"longitude\",\"showLabel\":true,\"label\":\"${entityName}\",\"tooltipPattern\":\"<div style='font-size: 13px;'><b>${entityName}</b><br/><br/><b>Latitude:</b> ${latitude:7}<br/><b>Longitude:</b> ${longitude:7}<br/><b>Speed:</b> ${Speed} MPH<br/><small>See advanced settings for details</small></div>\",\"markerImageSize\":34,\"useColorFunction\":true,\"markerImages\":[\"data:image/png;base64,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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\"],\"useMarkerImageFunction\":true,\"colorFunction\":\"var speed = dsData[dsIndex]['Speed'];\\nif (typeof speed !== undefined) {\\n    var percent = (speed - 45)/85;\\n    if (percent < 0.5) {\\n        percent *=2*100; \\n        return tinycolor.mix('green', 'yellow', amount = percent).toHexString();\\n    } else {\\n        percent = (percent - 0.5)*2*100;\\n        return tinycolor.mix('yellow', 'red', amount = percent).toHexString();\\n    }\\n}\",\"markerImageFunction\":\"var speed = dsData[dsIndex]['Speed'];\\nvar res = {\\n    url: images[0],\\n    size: 55\\n};\\nif (typeof speed !== undefined) {\\n    var percent = (speed - 45)/85;\\n    var index = Math.min(2, Math.floor(3 * percent));\\n    res.url = images[index];\\n}\\nreturn res;\",\"strokeWeight\":4,\"strokeOpacity\":0.65,\"color\":\"#1976d3\",\"tmDefaultMapType\":\"roadmap\",\"showTooltip\":true,\"autocloseTooltip\":true,\"tmApiKey\":\"84d6d83e0e51e481e50454ccbe8986b\",\"labelFunction\":\"var vehicleType = dsData[dsIndex]['vehicleType'];\\r\\nif (typeof vehicleType !== undefined) {\\r\\n    if (vehicleType == \\\"bus\\\") {\\r\\n        return '<span style=\\\"color:orange;\\\">Bus: ${entityName}</span>';\\r\\n    } else if (vehicleType == \\\"car\\\") {\\r\\n        return '<span style=\\\"color:blue;\\\">Car: ${entityName}</span>';\\r\\n    }\\r\\n}\",\"tooltipFunction\":\"var vehicleType = dsData[dsIndex]['vehicleType'];\\r\\nif (typeof vehicleType !== undefined) {\\r\\n    if (vehicleType == \\\"bus\\\") {\\r\\n        return '<b>Bus: ${entityName}</b><br/><b>Bus route:</b> ${busRoute}<br/>';\\r\\n    } else if (vehicleType == \\\"car\\\") {\\r\\n        return '<b>Car: ${entityName}</b><br/><b>Current destination:</b> ${destination}<br/>';\\r\\n    }\\r\\n}\",\"provider\":\"tencent-map\",\"defaultCenterPosition\":\"0,0\",\"showTooltipAction\":\"click\"},\"title\":\"Route Map - Tencent Maps\",\"dropShadow\":true,\"enableFullscreen\":true,\"titleStyle\":{\"fontSize\":\"16px\",\"fontWeight\":400},\"useDashboardTimewindow\":true,\"showLegend\":false,\"widgetStyle\":{},\"actions\":{}}"
       }
     },
     {
@@ -38,8 +38,8 @@
       }
     },
     {
-      "alias": "route_map_tencent_maps",
-      "name": "Route Map - Tencent Maps",
+      "alias": "route_map",
+      "name": "Route Map",
       "descriptor": {
         "type": "timeseries",
         "sizeX": 8.5,
@@ -47,10 +47,10 @@
         "resources": [],
         "templateHtml": "",
         "templateCss": ".error {\n    color: red;\n}\n.tb-labels {\n  color: #222;\n  font: 12px/1.5 \"Helvetica Neue\", Arial, Helvetica, sans-serif;\n  text-align: center;\n  width: 200px;\n  white-space: nowrap;\n}",
-        "controllerScript": "self.onInit = function() {\n    self.ctx.map = new TbMapWidgetV2('tencent-map', true, self.ctx);\n}\n\nself.onDataUpdated = function() {\n    self.ctx.map.update();\n}\n\nself.onResize = function() {\n    self.ctx.map.resize();\n}\n\nself.getSettingsSchema = function() {\n    return TbMapWidgetV2.settingsSchema('tencent-map', true);\n}\n\nself.getDataKeySettingsSchema = function() {\n    return TbMapWidgetV2.dataKeySettingsSchema('tencent-map', true);\n}\n\nself.actionSources = function() {\n    return TbMapWidgetV2.actionSources();\n}\n\nself.onDestroy = function() {\n}\n\nself.typeParameters = function() {\n    return {\n        hasDataPageLink: true\n    };\n}",
+        "controllerScript": "self.onInit = function() {\n    self.ctx.map = new TbMapWidgetV2('google-map', true, self.ctx);\n}\n\nself.onDataUpdated = function() {\n    self.ctx.map.update();\n}\n\nself.onResize = function() {\n    self.ctx.map.resize();\n}\n\nself.getSettingsSchema = function() {\n    return TbMapWidgetV2.settingsSchema('google-map', true);\n}\n\nself.getDataKeySettingsSchema = function() {\n    return TbMapWidgetV2.dataKeySettingsSchema('google-map', true);\n}\n\nself.actionSources = function() {\n    return TbMapWidgetV2.actionSources();\n}\n\nself.onDestroy = function() {\n}\n\nself.typeParameters = function() {\n    return {\n        hasDataPageLink: true\n    };\n}",
         "settingsSchema": "{}",
         "dataKeySettingsSchema": "{}\n",
-        "defaultConfig": "{\"datasources\":[{\"type\":\"function\",\"name\":\"First route\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#2196f3\",\"settings\":{},\"_hash\":0.5851719234007373,\"funcBody\":\"var lats = [37.7696499,\\n37.7699074,\\n37.7699536,\\n37.7697242,\\n37.7695189,\\n37.7696889,\\n37.7697153,\\n37.7701244,\\n37.7700604,\\n37.7705491,\\n37.7715705,\\n37.771752,\\n37.7707533,\\n37.769866];\\n\\nvar i = Math.floor((time/3 % 14000) / 1000);\\n\\nreturn lats[i];\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#4caf50\",\"settings\":{},\"_hash\":0.9015113051937396,\"funcBody\":\"var lons = [-122.4261215,\\n-122.4219157,\\n-122.4199623,\\n-122.4179074,\\n-122.4155876,\\n-122.4155521,\\n-122.4163203,\\n-122.4193876,\\n-122.4210496,\\n-122.422284,\\n-122.4232717,\\n-122.4235138,\\n-122.4247605,\\n-122.4258812];\\n\\nvar i = Math.floor((time/3 % 14000) / 1000);\\n\\nreturn lons[i];\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"Speed\",\"color\":\"#f44336\",\"settings\":{},\"_hash\":0.7253460349565717,\"funcBody\":\"var value = prevValue;\\nif (time % 500 < 100) {\\n    value = value + Math.random() * 40 - 20;\\n    if (value < 45) {\\n    \\tvalue = 45;\\n    } else if (value > 130) {\\n    \\tvalue = 130;\\n    }\\n}\\nreturn value;\"}]}],\"timewindow\":{\"realtime\":{\"timewindowMs\":60000}},\"showTitle\":true,\"backgroundColor\":\"#fff\",\"color\":\"rgba(0, 0, 0, 0.87)\",\"padding\":\"8px\",\"settings\":{\"fitMapBounds\":true,\"latKeyName\":\"latitude\",\"lngKeyName\":\"longitude\",\"showLabel\":true,\"label\":\"${entityName}\",\"tooltipPattern\":\"<div style='font-size: 13px;'><b>${entityName}</b><br/><br/><b>Latitude:</b> ${latitude:7}<br/><b>Longitude:</b> ${longitude:7}<br/><b>Speed:</b> ${Speed} MPH<br/><small>See advanced settings for details</small></div>\",\"markerImageSize\":34,\"useColorFunction\":true,\"markerImages\":[\"data:image/png;base64,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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\"],\"useMarkerImageFunction\":true,\"colorFunction\":\"var speed = dsData[dsIndex]['Speed'];\\nif (typeof speed !== undefined) {\\n    var percent = (speed - 45)/85;\\n    if (percent < 0.5) {\\n        percent *=2*100; \\n        return tinycolor.mix('green', 'yellow', amount = percent).toHexString();\\n    } else {\\n        percent = (percent - 0.5)*2*100;\\n        return tinycolor.mix('yellow', 'red', amount = percent).toHexString();\\n    }\\n}\",\"markerImageFunction\":\"var speed = dsData[dsIndex]['Speed'];\\nvar res = {\\n    url: images[0],\\n    size: 55\\n};\\nif (typeof speed !== undefined) {\\n    var percent = (speed - 45)/85;\\n    var index = Math.min(2, Math.floor(3 * percent));\\n    res.url = images[index];\\n}\\nreturn res;\",\"strokeWeight\":4,\"strokeOpacity\":0.65,\"color\":\"#1976d3\",\"tmDefaultMapType\":\"roadmap\",\"showTooltip\":true,\"autocloseTooltip\":true,\"tmApiKey\":\"84d6d83e0e51e481e50454ccbe8986b\",\"labelFunction\":\"var vehicleType = dsData[dsIndex]['vehicleType'];\\r\\nif (typeof vehicleType !== undefined) {\\r\\n    if (vehicleType == \\\"bus\\\") {\\r\\n        return '<span style=\\\"color:orange;\\\">Bus: ${entityName}</span>';\\r\\n    } else if (vehicleType == \\\"car\\\") {\\r\\n        return '<span style=\\\"color:blue;\\\">Car: ${entityName}</span>';\\r\\n    }\\r\\n}\",\"tooltipFunction\":\"var vehicleType = dsData[dsIndex]['vehicleType'];\\r\\nif (typeof vehicleType !== undefined) {\\r\\n    if (vehicleType == \\\"bus\\\") {\\r\\n        return '<b>Bus: ${entityName}</b><br/><b>Bus route:</b> ${busRoute}<br/>';\\r\\n    } else if (vehicleType == \\\"car\\\") {\\r\\n        return '<b>Car: ${entityName}</b><br/><b>Current destination:</b> ${destination}<br/>';\\r\\n    }\\r\\n}\",\"provider\":\"tencent-map\",\"defaultCenterPosition\":\"0,0\",\"showTooltipAction\":\"click\"},\"title\":\"Route Map - Tencent Maps\",\"dropShadow\":true,\"enableFullscreen\":true,\"titleStyle\":{\"fontSize\":\"16px\",\"fontWeight\":400},\"useDashboardTimewindow\":true,\"showLegend\":false,\"widgetStyle\":{},\"actions\":{}}"
+        "defaultConfig": "{\"datasources\":[{\"type\":\"function\",\"name\":\"First route\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#2196f3\",\"settings\":{},\"_hash\":0.5851719234007373,\"funcBody\":\"var lats = [37.7696499,\\n37.7699074,\\n37.7699536,\\n37.7697242,\\n37.7695189,\\n37.7696889,\\n37.7697153,\\n37.7701244,\\n37.7700604,\\n37.7705491,\\n37.7715705,\\n37.771752,\\n37.7707533,\\n37.769866];\\n\\nvar i = Math.floor((time/3 % 14000) / 1000);\\n\\nreturn lats[i];\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#4caf50\",\"settings\":{},\"_hash\":0.9015113051937396,\"funcBody\":\"var lons = [-122.4261215,\\n-122.4219157,\\n-122.4199623,\\n-122.4179074,\\n-122.4155876,\\n-122.4155521,\\n-122.4163203,\\n-122.4193876,\\n-122.4210496,\\n-122.422284,\\n-122.4232717,\\n-122.4235138,\\n-122.4247605,\\n-122.4258812];\\n\\nvar i = Math.floor((time/3 % 14000) / 1000);\\n\\nreturn lons[i];\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"Speed\",\"color\":\"#f44336\",\"settings\":{},\"_hash\":0.7253460349565717,\"funcBody\":\"var value = prevValue;\\nif (time % 500 < 100) {\\n    value = value + Math.random() * 40 - 20;\\n    if (value < 45) {\\n    \\tvalue = 45;\\n    } else if (value > 130) {\\n    \\tvalue = 130;\\n    }\\n}\\nreturn value;\"}]}],\"timewindow\":{\"realtime\":{\"timewindowMs\":60000}},\"showTitle\":true,\"backgroundColor\":\"#fff\",\"color\":\"rgba(0, 0, 0, 0.87)\",\"padding\":\"8px\",\"settings\":{\"fitMapBounds\":true,\"latKeyName\":\"latitude\",\"lngKeyName\":\"longitude\",\"showLabel\":true,\"label\":\"${entityName}\",\"tooltipPattern\":\"<b>${entityName}</b><br/><br/><b>Latitude:</b> ${latitude:7}<br/><b>Longitude:</b> ${longitude:7}<br/><b>Speed:</b> ${Speed} MPH<br/><small>See advanced settings for 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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\"],\"useMarkerImageFunction\":true,\"colorFunction\":\"var speed = dsData[dsIndex]['Speed'];\\nif (typeof speed !== undefined) {\\n    var percent = (speed - 45)/85;\\n    if (percent < 0.5) {\\n        percent *=2*100; \\n        return tinycolor.mix('green', 'yellow', amount = percent).toHexString();\\n    } else {\\n        percent = (percent - 0.5)*2*100;\\n        return tinycolor.mix('yellow', 'red', amount = percent).toHexString();\\n    }\\n}\",\"markerImageFunction\":\"var speed = dsData[dsIndex]['Speed'];\\nvar res = {\\n    url: images[0],\\n    size: 55\\n};\\nif (typeof speed !== undefined) {\\n    var percent = (speed - 45)/85;\\n    var index = Math.min(2, Math.floor(3 * percent));\\n    res.url = images[index];\\n}\\nreturn res;\",\"strokeWeight\":4,\"strokeOpacity\":0.65,\"color\":\"#1976d2\",\"showTooltip\":true,\"autocloseTooltip\":true,\"labelFunction\":\"var vehicleType = dsData[dsIndex]['vehicleType'];\\r\\nif (typeof vehicleType !== undefined) {\\r\\n    if (vehicleType == \\\"bus\\\") {\\r\\n        return '<span style=\\\"color:orange;\\\">Bus: ${entityName}</span>';\\r\\n    } else if (vehicleType == \\\"car\\\") {\\r\\n        return '<span style=\\\"color:blue;\\\">Car: ${entityName}</span>';\\r\\n    }\\r\\n}\",\"tooltipFunction\":\"var vehicleType = dsData[dsIndex]['vehicleType'];\\r\\nif (typeof vehicleType !== undefined) {\\r\\n    if (vehicleType == \\\"bus\\\") {\\r\\n        return '<b>Bus: ${entityName}</b><br/><b>Bus route:</b> ${busRoute}<br/>';\\r\\n    } else if (vehicleType == \\\"car\\\") {\\r\\n        return '<b>Car: ${entityName}</b><br/><b>Current destination:</b> ${destination}<br/>';\\r\\n    }\\r\\n}\",\"provider\":\"google-map\",\"defaultCenterPosition\":\"0,0\",\"showTooltipAction\":\"click\"},\"title\":\"Route Map\",\"dropShadow\":true,\"enableFullscreen\":true,\"titleStyle\":{\"fontSize\":\"16px\",\"fontWeight\":400},\"useDashboardTimewindow\":true,\"showLegend\":false,\"widgetStyle\":{},\"actions\":{}}"
       }
     },
     {
@@ -70,19 +70,19 @@
       }
     },
     {
-      "alias": "route_map",
-      "name": "Route Map",
+      "alias": "tencent_maps",
+      "name": "Tencent Maps",
       "descriptor": {
-        "type": "timeseries",
-        "sizeX": 8.5,
+        "type": "latest",
+        "sizeX": 9,
         "sizeY": 6,
         "resources": [],
         "templateHtml": "",
         "templateCss": ".error {\n    color: red;\n}\n.tb-labels {\n  color: #222;\n  font: 12px/1.5 \"Helvetica Neue\", Arial, Helvetica, sans-serif;\n  text-align: center;\n  width: 200px;\n  white-space: nowrap;\n}",
-        "controllerScript": "self.onInit = function() {\n    self.ctx.map = new TbMapWidgetV2('google-map', true, self.ctx);\n}\n\nself.onDataUpdated = function() {\n    self.ctx.map.update();\n}\n\nself.onResize = function() {\n    self.ctx.map.resize();\n}\n\nself.getSettingsSchema = function() {\n    return TbMapWidgetV2.settingsSchema('google-map', true);\n}\n\nself.getDataKeySettingsSchema = function() {\n    return TbMapWidgetV2.dataKeySettingsSchema('google-map', true);\n}\n\nself.actionSources = function() {\n    return TbMapWidgetV2.actionSources();\n}\n\nself.onDestroy = function() {\n}\n\nself.typeParameters = function() {\n    return {\n        hasDataPageLink: true\n    };\n}",
+        "controllerScript": "self.onInit = function() {\n    self.ctx.map = new TbMapWidgetV2('tencent-map', false, self.ctx);\n}\n\nself.onDataUpdated = function() {\n    self.ctx.map.update();\n}\n\nself.onResize = function() {\n    self.ctx.map.resize();\n}\n\nself.getSettingsSchema = function() {\n    return TbMapWidgetV2.settingsSchema('tencent-map');\n}\n\nself.getDataKeySettingsSchema = function() {\n    return TbMapWidgetV2.dataKeySettingsSchema('tencent-map');\n}\n\nself.actionSources = function() {\n    return TbMapWidgetV2.actionSources();\n}\n\nself.onDestroy = function() {\n}\n\nself.typeParameters = function() {\n    return {\n        hasDataPageLink: true\n    };\n}",
         "settingsSchema": "{}",
         "dataKeySettingsSchema": "{}\n",
-        "defaultConfig": "{\"datasources\":[{\"type\":\"function\",\"name\":\"First route\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#2196f3\",\"settings\":{},\"_hash\":0.5851719234007373,\"funcBody\":\"var lats = [37.7696499,\\n37.7699074,\\n37.7699536,\\n37.7697242,\\n37.7695189,\\n37.7696889,\\n37.7697153,\\n37.7701244,\\n37.7700604,\\n37.7705491,\\n37.7715705,\\n37.771752,\\n37.7707533,\\n37.769866];\\n\\nvar i = Math.floor((time/3 % 14000) / 1000);\\n\\nreturn lats[i];\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#4caf50\",\"settings\":{},\"_hash\":0.9015113051937396,\"funcBody\":\"var lons = [-122.4261215,\\n-122.4219157,\\n-122.4199623,\\n-122.4179074,\\n-122.4155876,\\n-122.4155521,\\n-122.4163203,\\n-122.4193876,\\n-122.4210496,\\n-122.422284,\\n-122.4232717,\\n-122.4235138,\\n-122.4247605,\\n-122.4258812];\\n\\nvar i = Math.floor((time/3 % 14000) / 1000);\\n\\nreturn lons[i];\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"Speed\",\"color\":\"#f44336\",\"settings\":{},\"_hash\":0.7253460349565717,\"funcBody\":\"var value = prevValue;\\nif (time % 500 < 100) {\\n    value = value + Math.random() * 40 - 20;\\n    if (value < 45) {\\n    \\tvalue = 45;\\n    } else if (value > 130) {\\n    \\tvalue = 130;\\n    }\\n}\\nreturn value;\"}]}],\"timewindow\":{\"realtime\":{\"timewindowMs\":60000}},\"showTitle\":true,\"backgroundColor\":\"#fff\",\"color\":\"rgba(0, 0, 0, 0.87)\",\"padding\":\"8px\",\"settings\":{\"fitMapBounds\":true,\"latKeyName\":\"latitude\",\"lngKeyName\":\"longitude\",\"showLabel\":true,\"label\":\"${entityName}\",\"tooltipPattern\":\"<b>${entityName}</b><br/><br/><b>Latitude:</b> ${latitude:7}<br/><b>Longitude:</b> ${longitude:7}<br/><b>Speed:</b> ${Speed} MPH<br/><small>See advanced settings for 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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\"],\"useMarkerImageFunction\":true,\"colorFunction\":\"var speed = dsData[dsIndex]['Speed'];\\nif (typeof speed !== undefined) {\\n    var percent = (speed - 45)/85;\\n    if (percent < 0.5) {\\n        percent *=2*100; \\n        return tinycolor.mix('green', 'yellow', amount = percent).toHexString();\\n    } else {\\n        percent = (percent - 0.5)*2*100;\\n        return tinycolor.mix('yellow', 'red', amount = percent).toHexString();\\n    }\\n}\",\"markerImageFunction\":\"var speed = dsData[dsIndex]['Speed'];\\nvar res = {\\n    url: images[0],\\n    size: 55\\n};\\nif (typeof speed !== undefined) {\\n    var percent = (speed - 45)/85;\\n    var index = Math.min(2, Math.floor(3 * percent));\\n    res.url = images[index];\\n}\\nreturn res;\",\"strokeWeight\":4,\"strokeOpacity\":0.65,\"color\":\"#1976d2\",\"showTooltip\":true,\"autocloseTooltip\":true,\"labelFunction\":\"var vehicleType = dsData[dsIndex]['vehicleType'];\\r\\nif (typeof vehicleType !== undefined) {\\r\\n    if (vehicleType == \\\"bus\\\") {\\r\\n        return '<span style=\\\"color:orange;\\\">Bus: ${entityName}</span>';\\r\\n    } else if (vehicleType == \\\"car\\\") {\\r\\n        return '<span style=\\\"color:blue;\\\">Car: ${entityName}</span>';\\r\\n    }\\r\\n}\",\"tooltipFunction\":\"var vehicleType = dsData[dsIndex]['vehicleType'];\\r\\nif (typeof vehicleType !== undefined) {\\r\\n    if (vehicleType == \\\"bus\\\") {\\r\\n        return '<b>Bus: ${entityName}</b><br/><b>Bus route:</b> ${busRoute}<br/>';\\r\\n    } else if (vehicleType == \\\"car\\\") {\\r\\n        return '<b>Car: ${entityName}</b><br/><b>Current destination:</b> ${destination}<br/>';\\r\\n    }\\r\\n}\",\"provider\":\"google-map\",\"defaultCenterPosition\":\"0,0\",\"showTooltipAction\":\"click\"},\"title\":\"Route Map\",\"dropShadow\":true,\"enableFullscreen\":true,\"titleStyle\":{\"fontSize\":\"16px\",\"fontWeight\":400},\"useDashboardTimewindow\":true,\"showLegend\":false,\"widgetStyle\":{},\"actions\":{}}"
+        "defaultConfig": "{\"datasources\":[{\"type\":\"function\",\"name\":\"First point\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#2196f3\",\"settings\":{},\"_hash\":0.15479322438769105,\"funcBody\":\"var value = prevValue || 15.833293;\\nif (time % 5000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#4caf50\",\"settings\":{},\"_hash\":0.24727730589425012,\"funcBody\":\"var value = prevValue || -90.454350;\\nif (time % 5000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"temperature\",\"color\":\"#f44336\",\"settings\":{},\"_hash\":0.8437014651129422,\"funcBody\":\"var value = prevValue + Math.random() * 40 - 20;\\nif (value < -60) {\\n\\tvalue = -60;\\n} else if (value > 60) {\\n\\tvalue = 60;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"type\",\"color\":\"#ffc107\",\"settings\":{},\"_hash\":0.7558240907832925,\"funcBody\":\"return \\\"colorpin\\\";\"}]},{\"type\":\"function\",\"name\":\"Second Point\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#607d8b\",\"settings\":{},\"_hash\":0.19266205227372524,\"funcBody\":\"var value = prevValue || 14.450463;\\nif (time % 4000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#9c27b0\",\"settings\":{},\"_hash\":0.7995830793603149,\"funcBody\":\"var value = prevValue || -84.845334;\\nif (time % 4000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"temperature\",\"color\":\"#8bc34a\",\"settings\":{},\"_hash\":0.04902495467943502,\"funcBody\":\"var value = prevValue + Math.random() * 40 - 20;\\nif (value < -60) {\\n\\tvalue = -60;\\n} else if (value > 60) {\\n\\tvalue = 60;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"type\",\"color\":\"#3f51b5\",\"settings\":{},\"_hash\":0.44120841439482095,\"funcBody\":\"return \\\"thermomether\\\";\"}]}],\"timewindow\":{\"realtime\":{\"timewindowMs\":60000}},\"showTitle\":true,\"backgroundColor\":\"#fff\",\"color\":\"rgba(0, 0, 0, 0.87)\",\"padding\":\"8px\",\"settings\":{\"tmDefaultMapType\":\"roadmap\",\"fitMapBounds\":true,\"latKeyName\":\"latitude\",\"lngKeyName\":\"longitude\",\"showLabel\":true,\"label\":\"${entityName}\",\"showTooltip\":true,\"autocloseTooltip\":true,\"tooltipPattern\":\"<div style='font-size: 13px;'><b>${entityName}</b><br/><br/><b>Latitude:</b> ${latitude:7}<br/><b>Longitude:</b> ${longitude:7}<br/><b>Temperature:</b> ${temperature} °C<br/><small>See advanced settings for details</small></div>\",\"markerImageSize\":34,\"tmApiKey\":\"84d6d83e0e51e481e50454ccbe8986b\",\"color\":\"#fe7569\",\"useColorFunction\":true,\"colorFunction\":\"var type = dsData[dsIndex]['type'];\\nif (type == 'colorpin') {\\n\\tvar temperature = dsData[dsIndex]['temperature'];\\n\\tif (typeof temperature !== undefined) {\\n\\t    var percent = (temperature + 60)/120 * 100;\\n\\t    return tinycolor.mix('blue', 'red', amount = percent).toHexString();\\n\\t}\\n\\treturn 'blue';\\n}\\n\",\"useMarkerImageFunction\":true,\"markerImageFunction\":\"var type = dsData[dsIndex]['type'];\\nif (type == 'thermomether') {\\n\\tvar res = {\\n\\t    url: images[0],\\n\\t    size: 40\\n\\t}\\n\\tvar temperature = dsData[dsIndex]['temperature'];\\n\\tif (typeof temperature !== undefined) {\\n\\t    var percent = (temperature + 60)/120;\\n\\t    var index = Math.min(3, Math.floor(4 * percent));\\n\\t    res.url = images[index];\\n\\t}\\n\\treturn 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\",\"data:image/png;base64,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\"],\"labelFunction\":\"var deviceType = dsData[dsIndex]['deviceType'];\\r\\nif (typeof deviceType !== undefined) {\\r\\n    if (deviceType == \\\"energy meter\\\") {\\r\\n        return '<span style=\\\"color:orange;\\\">${entityName}, ${energy:2} kWt</span>';\\r\\n    } else if (deviceType == \\\"thermometer\\\") {\\r\\n        return '<span style=\\\"color:blue;\\\">${entityName}, ${temperature:2} °C</span>';\\r\\n    }\\r\\n}\",\"tooltipFunction\":\"var deviceType = dsData[dsIndex]['deviceType'];\\r\\nif (typeof deviceType !== undefined) {\\r\\n    if (deviceType == \\\"energy meter\\\") {\\r\\n        return '<b>${entityName}</b><br/><b>Energy:</b> ${energy:2} kWt<br/>';\\r\\n    } else if (deviceType == \\\"thermometer\\\") {\\r\\n        return '<b>${entityName}</b><br/><b>Temperature:</b> ${temperature:2} °C<br/>';\\r\\n    }\\r\\n}\",\"mapProviderHere\":\"HERE.normalDay\",\"provider\":\"tencent-map\",\"defaultCenterPosition\":\"0,0\",\"showTooltipAction\":\"click\",\"showPolygon\":false,\"polygonKeyName\":\"coordinates\",\"polygonOpacity\":0.5,\"polygonStrokeOpacity\":1,\"polygonStrokeWeight\":1},\"title\":\"Tencent Maps\",\"dropShadow\":true,\"enableFullscreen\":true,\"widgetStyle\":{},\"titleStyle\":{\"fontSize\":\"16px\",\"fontWeight\":400},\"useDashboardTimewindow\":true,\"showLegend\":false,\"actions\":{}}"
       }
     },
     {
@@ -102,22 +102,6 @@
       }
     },
     {
-      "alias": "tencent_maps",
-      "name": "Tencent Maps",
-      "descriptor": {
-        "type": "latest",
-        "sizeX": 9,
-        "sizeY": 6,
-        "resources": [],
-        "templateHtml": "",
-        "templateCss": ".error {\n    color: red;\n}\n.tb-labels {\n  color: #222;\n  font: 12px/1.5 \"Helvetica Neue\", Arial, Helvetica, sans-serif;\n  text-align: center;\n  width: 200px;\n  white-space: nowrap;\n}",
-        "controllerScript": "self.onInit = function() {\n    self.ctx.map = new TbMapWidgetV2('tencent-map', false, self.ctx);\n}\n\nself.onDataUpdated = function() {\n    self.ctx.map.update();\n}\n\nself.onResize = function() {\n    self.ctx.map.resize();\n}\n\nself.getSettingsSchema = function() {\n    return TbMapWidgetV2.settingsSchema('tencent-map');\n}\n\nself.getDataKeySettingsSchema = function() {\n    return TbMapWidgetV2.dataKeySettingsSchema('tencent-map');\n}\n\nself.actionSources = function() {\n    return TbMapWidgetV2.actionSources();\n}\n\nself.onDestroy = function() {\n}\n\nself.typeParameters = function() {\n    return {\n        hasDataPageLink: true\n    };\n}",
-        "settingsSchema": "{}",
-        "dataKeySettingsSchema": "{}\n",
-        "defaultConfig": "{\"datasources\":[{\"type\":\"function\",\"name\":\"First point\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#2196f3\",\"settings\":{},\"_hash\":0.15479322438769105,\"funcBody\":\"var value = prevValue || 15.833293;\\nif (time % 5000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#4caf50\",\"settings\":{},\"_hash\":0.24727730589425012,\"funcBody\":\"var value = prevValue || -90.454350;\\nif (time % 5000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"temperature\",\"color\":\"#f44336\",\"settings\":{},\"_hash\":0.8437014651129422,\"funcBody\":\"var value = prevValue + Math.random() * 40 - 20;\\nif (value < -60) {\\n\\tvalue = -60;\\n} else if (value > 60) {\\n\\tvalue = 60;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"type\",\"color\":\"#ffc107\",\"settings\":{},\"_hash\":0.7558240907832925,\"funcBody\":\"return \\\"colorpin\\\";\"}]},{\"type\":\"function\",\"name\":\"Second Point\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#607d8b\",\"settings\":{},\"_hash\":0.19266205227372524,\"funcBody\":\"var value = prevValue || 14.450463;\\nif (time % 4000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#9c27b0\",\"settings\":{},\"_hash\":0.7995830793603149,\"funcBody\":\"var value = prevValue || -84.845334;\\nif (time % 4000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"temperature\",\"color\":\"#8bc34a\",\"settings\":{},\"_hash\":0.04902495467943502,\"funcBody\":\"var value = prevValue + Math.random() * 40 - 20;\\nif (value < -60) {\\n\\tvalue = -60;\\n} else if (value > 60) {\\n\\tvalue = 60;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"type\",\"color\":\"#3f51b5\",\"settings\":{},\"_hash\":0.44120841439482095,\"funcBody\":\"return \\\"thermomether\\\";\"}]}],\"timewindow\":{\"realtime\":{\"timewindowMs\":60000}},\"showTitle\":true,\"backgroundColor\":\"#fff\",\"color\":\"rgba(0, 0, 0, 0.87)\",\"padding\":\"8px\",\"settings\":{\"tmDefaultMapType\":\"roadmap\",\"fitMapBounds\":true,\"latKeyName\":\"latitude\",\"lngKeyName\":\"longitude\",\"showLabel\":true,\"label\":\"${entityName}\",\"showTooltip\":true,\"autocloseTooltip\":true,\"tooltipPattern\":\"<div style='font-size: 13px;'><b>${entityName}</b><br/><br/><b>Latitude:</b> ${latitude:7}<br/><b>Longitude:</b> ${longitude:7}<br/><b>Temperature:</b> ${temperature} °C<br/><small>See advanced settings for 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yoq7LKystKysnLKy8soKyujtDTCxx/vSW3fsT3c0NAQWbpkiZvp7a9Np9Ndo+nWxwJrLYvmzV9gAaxbt/75urrxd592Wp0Oh0tWHSkbiUQSv3unuQlgxoyZltZm0TF1H+umUnrC1KlTAaipqUpESmMzFIRjsVj3SPJTpkyJA0ycOBGMnviFwSISLolEAAiHbftYsgAlJREbwA6HESUlXxg8lkcRXAQXwUVwEVwEF8FFcBH8/xhsnZC0ksw49eQPI5mmNtP54ccAIvqgqbz4aYn8zYoTUXXcFnueyZ8eXtleZt75iQnpU0VUvYiqB5mvu5p+XH9w8RtgnJMOLut/7rd4+fpRBcS52hz65csnHdxQ8clZnyuT3NV40sHRUnfq58mUWFJ70sEn+yiCi+AiuAgugovgIrgILoKL4CK4CC6Ci+D/Q+Djf/higk8Jzs0IMjIGYDGAp0AUeBbiHf3Xs/HGAHyYlYaRX0EYC4txNeIFugvWHyXzua8cnDjYGMBoQIFhRFfLmLjaCxqAw8iuHing/nCwGlLuMrKrveNfnccPFnyLtQ8c0a1jElye8sGFAYwUSCN54Q8GB4ljKKpHkBmLOZbB4FLgjhLVYxNcDFnkMXJUj03m0kOKR0sgYzLHRvlwpcDYI7oaGYvl5HB4ZRrJ1cf9fP5E/5NwQUKM7uoTOI4/ql38kmgUOCMnEHMCL819sag2jJJAxgIs+HNY6PGlpUxXDQWXw5dXjxH8SFZBPf7SyqKrMQLKG7b/OkpmTBJI0BSjbwTGYo6Ni5+ZjMJDj1wkxmQ5iV+VsBh9BzImKbNQFhWjp8wx21c7dKIV9A94IxaJsdplZt9574JQVcUdpr3rzlEHdzLASslpg19EofLMMa3dc0Z9c9YMXT+s7/GCo9FojWWph87+6tmX3XTTzT7XA/F4xutXr4fyOuQZVQUQ0tLphY1nlcn5YqgAuOyyy3inefOtH+36aLJr5Obe3t72o4w68kIsFptuW7pp5d33TPne928hm83yLz+6b9PVb/4niRK9QNfUoquqUaUREEEG+jGd7Zi2Dnpy3qYHGr7OFdcsX2BZFs899ywP/fznu11PLslkMjtHBScSiXrL0m+uXr3mlEWLFrN58+auxD+u2HZWhb0gcvkyShZ/Ax2N+70KPcVvJpMm999NZJ99mi1dzsb3rviLGbNmz6rY0rKFVavubTWG83p6ej4psAbfr66trS03xtlw98p76s+bN5+nnvzFtouevK/s1AnJM+I/vB37j6aDziJeCtxhzUkhTgoYwJpchz3zbJI7fj/pzA829f6iR/bPPW9e9aS6utjbb715YWVl1SOZTMY5DGzb6scXf+OSS6+48kqanntu55+99shkOyLx8uuvIjSuDEzq6Ob5TdzgPJ9GhT2sCbV4W1vK57R+FP9lOrT33PnzKjOZTM2OD7dFB3L5FwaDq6KifGYiXvn95ddey4fbtmWv2fhIiVUqpbpMEao2SH4fiKCMgAbRggSuVkKwEQz22q4iVKtQEYUtJvzdlvX6+bq67PJrr41sbm6+VVv8W1dX7/9oADH6b//0+us1QO/jD6xPhGWSCgsqLJj8PsTdjzj7Ma7fxDkAzn5wjry+H3H2YfL7UGGDCguJEqnPPf3YOoDrrrtOe56+C8CKRqPjotHoN+fMmcObb7zRelsk9W1lC4QFCRlM9yfoKnsoEgOLVWCxDLfYBRwwnXmwDIQVyoMbo6lrfrq5+dCsxsbaaHlkqTFSpUMhvjV79mwLwHvjldewBGxQlqBswXn3Y6T/EDhtiNOGuG2I2444QXPb/WtOGzhtmL7PcN7di7IFFegiJDq3+ZVXAWbMmGlrzRJLKc6/4IJFGGO4MdQ+gxAQEn/2LcH0u+Sa27HO0IRq/V+MSqnBOUZARMAD75DB2w4mq8AKWkggpPiOtJ3dYgznzTuPt996+3xLoc8+vaGBlpaWzFybrygtqCPgeODtcTFtBl1hUBHfGgl+wNGv8FIayWjE6KCfD1UhBVqotPWZO3Zs7506dVpUaT1Lh21rPED7oUNtKH8OUYLSoHTwWRiEAsmBDIA4gCPIAJh8YL3lyw7vi5JAJ7QdamvXWmPbofGW0qEYQL4/0zeYjdTRTQ0Oxp9/Svx9jvKAkBocsCh1dP9AZ76vNwOglI5bnuflAaukPBo9bM8UpMIjvxeiWAUbATHK3/yNJM/h30vKozEAz/Ny2nXddoCKyqrKwc5GDYFMUJmM8peLqyCvkH6FZP1zXP+eGBXIFvQcrquyqroyALdrxGzv7u5i6rTTE3lX0gUL/DIYPPfwFDh+k5xCBhSS1Ui/9s9zQ/cLz0rEGxqEGMWAK92T6yfHu7q6MCLbtSj1UtPzTcTjcfW0E3t5EBSkv0FgPgAMQgtWa/9azpcZHICrhvR48B+52CvRaFS9/PJLKKVe1Mao9e+++zsAtk9rnIwbLBFHIQ5IACWvkJxGBjSSDeDZ4HxAIznty+SV38chGIA/PXumzZoK0PJBCyLq1zqdTn/U2dHxbmtrKxddfmXj1r7QRr9jMH/5Ye4d8OdV+odZ3F+AqyG3F/oFelr62PQnl14667PWVrq6ut5JpVJ7giLBygfWrMYOh3ll/pLx4iojR7p3QMGgpQX4kPUE8OFuF0chrjIvzL78VDsc5sEHH0SLWkmQLuhOp5v27t376tatW7nk8iun/UN8VhM5BblASS5w53BowdXD4L7Lg8EG7Z6SM36z+MILp25p2cqBA/s3dKXTLxRSBeDvtUpL7M0PPfRwYtLken791z9Y++fevmWE/WJBIelbgJbDtz4mePblBksrcPU/ubVrF65Yuayzs50Vt6/ozuXduel0etdhYIB4PH5RVWXy+WeeWR8aV1PDz+6/56W//PDFxbpELGULgwVEcwSYoWXkKExOuatqGl9b8p3vfb2vt5/b/uoWtyfVe0kqlXqpwDpql1lVlbwhUhr52VNPrQ3PPuccNm16PbXrR3f+9pvm0NV+pWEwhQKIqKHnm57iV9nydc6Smxc1zm5MHvj0AHfecUeuv7f/u509PY8N5wyCReRcYCEw6YknHi9bcfvtl9276r7qG2+6Gdd12bhhQ/rghhe3TdmywT4l2zkhEeIUgJTLZ62RygPbT5/rlv/xvLOmnzE9ns/lWb9uPY8++u9tP/3JPzd9e/nyLLAXeE0ptRlAicgk4BZgfDAGc/DgQb1790fWrT+45Zz58xdMue+++0kkk/5N8RO2iPiZ0BiMCMbz8FyXzq4u7l91L5ub3969Zs2/Np/eMM2rrT21YKQBPgPWKBFZAyQA093drTzPobu7uyPV3XNbR2enam5uZu3atdTW1LDsqqtYeMEipk2b5m8GANd12bVzJ69vfI2n1/6Kjo5OvrVsKefOPZeqqkpJJCtXJ5OJinBpRJLxeOF3bI8FZIAYoEN2SHmeJ6GQ2CiMUipUP2UK199wI59+2sp/rVvP6tVryKRTOE4eAcJ2mFg8wfgJE5nZeA4TJ4yntmYcSimUUsaydMi2wxIKKTXM6n4lIuMCV08m2O52dHSQzfbpvkxvZSqTbkinUnWpVDqUzvTS29dHNpvFcfy6aNsWkUgp0fJyYrEYiUTcSybin8RjiZ2lZeXd0WjUra6uDg2L/z3A6uHBNQNYAEwHqvAXTTl4Kp3O9HhOvk+FGMhmHXHdHGLEE8CytNY6rCKRsPY8VRoOh8tisfIkhFxgIAB2AtuA15VS20ZcTsEgEsBM4DTgFKASiAClQAnBig7EC8/8BoAc0AekgE+B/cAWpVTqSMb/AlY1WXIncMcxAAAAAElFTkSuQmCC\",\"data:image/png;base64,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\"],\"labelFunction\":\"var deviceType = dsData[dsIndex]['deviceType'];\\r\\nif (typeof deviceType !== undefined) {\\r\\n    if (deviceType == \\\"energy meter\\\") {\\r\\n        return '<span style=\\\"color:orange;\\\">${entityName}, ${energy:2} kWt</span>';\\r\\n    } else if (deviceType == \\\"thermometer\\\") {\\r\\n        return '<span style=\\\"color:blue;\\\">${entityName}, ${temperature:2} °C</span>';\\r\\n    }\\r\\n}\",\"tooltipFunction\":\"var deviceType = dsData[dsIndex]['deviceType'];\\r\\nif (typeof deviceType !== undefined) {\\r\\n    if (deviceType == \\\"energy meter\\\") {\\r\\n        return '<b>${entityName}</b><br/><b>Energy:</b> ${energy:2} kWt<br/>';\\r\\n    } else if (deviceType == \\\"thermometer\\\") {\\r\\n        return '<b>${entityName}</b><br/><b>Temperature:</b> ${temperature:2} °C<br/>';\\r\\n    }\\r\\n}\",\"mapProviderHere\":\"HERE.normalDay\",\"provider\":\"tencent-map\",\"defaultCenterPosition\":\"0,0\",\"showTooltipAction\":\"click\",\"showPolygon\":false,\"polygonKeyName\":\"coordinates\",\"polygonOpacity\":0.5,\"polygonStrokeOpacity\":1,\"polygonStrokeWeight\":1},\"title\":\"Tencent Maps\",\"dropShadow\":true,\"enableFullscreen\":true,\"widgetStyle\":{},\"titleStyle\":{\"fontSize\":\"16px\",\"fontWeight\":400},\"useDashboardTimewindow\":true,\"showLegend\":false,\"actions\":{}}"
-      }
-    },
-    {
       "alias": "image_map",
       "name": "Image Map",
       "descriptor": {
@@ -148,6 +132,22 @@
         "dataKeySettingsSchema": "{}\n",
         "defaultConfig": "{\"datasources\":[{\"type\":\"function\",\"name\":\"First point\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#2196f3\",\"settings\":{},\"_hash\":0.05427416942713381,\"funcBody\":\"var value = prevValue || 15.833293;\\nif (time % 5000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#4caf50\",\"settings\":{},\"_hash\":0.680594833308841,\"funcBody\":\"var value = prevValue || -90.454350;\\nif (time % 5000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"temperature\",\"color\":\"#9c27b0\",\"settings\":{},\"_hash\":0.9430343126300238,\"funcBody\":\"var value = prevValue + Math.random() * 40 - 20;\\nif (value < -60) {\\n\\tvalue = -60;\\n} else if (value > 60) {\\n\\tvalue = 60;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"type\",\"color\":\"#8bc34a\",\"settings\":{},\"_hash\":0.1784452363910778,\"funcBody\":\"return \\\"colorpin\\\";\"}]},{\"type\":\"function\",\"name\":\"Second point\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#f44336\",\"settings\":{},\"_hash\":0.05012157428742059,\"funcBody\":\"var value = prevValue || 14.450463;\\nif (time % 4000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#ffc107\",\"settings\":{},\"_hash\":0.6742359401617628,\"funcBody\":\"var value = prevValue || -84.845334;\\nif (time % 4000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"temperature\",\"color\":\"#8bc34a\",\"settings\":{},\"_hash\":0.773875863339494,\"funcBody\":\"var value = prevValue + Math.random() * 40 - 20;\\nif (value < -60) {\\n\\tvalue = -60;\\n} else if (value > 60) {\\n\\tvalue = 60;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"type\",\"color\":\"#3f51b5\",\"settings\":{},\"_hash\":0.405822538899673,\"funcBody\":\"return \\\"thermomether\\\";\"}]}],\"timewindow\":{\"realtime\":{\"timewindowMs\":60000}},\"showTitle\":true,\"backgroundColor\":\"#fff\",\"color\":\"rgba(0, 0, 0, 0.87)\",\"padding\":\"8px\",\"settings\":{\"fitMapBounds\":true,\"latKeyName\":\"latitude\",\"lngKeyName\":\"longitude\",\"showLabel\":true,\"label\":\"${entityName}\",\"tooltipPattern\":\"<b>${entityName}</b><br/><br/><b>Latitude:</b> ${latitude:7}<br/><b>Longitude:</b> ${longitude:7}<br/><b>Temperature:</b> ${temperature} °C<br/><small>See advanced settings for 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type = dsData[dsIndex]['type'];\\nif (type == 'colorpin') {\\n\\tvar temperature = dsData[dsIndex]['temperature'];\\n\\tif (typeof temperature !== undefined) {\\n\\t    var percent = (temperature + 60)/120 * 100;\\n\\t    return tinycolor.mix('blue', 'red', amount = percent).toHexString();\\n\\t}\\n\\treturn 'blue';\\n}\\n\",\"markerImageFunction\":\"var type = dsData[dsIndex]['type'];\\nif (type == 'thermomether') {\\n\\tvar res = {\\n\\t    url: images[0],\\n\\t    size: 40\\n\\t}\\n\\tvar temperature = dsData[dsIndex]['temperature'];\\n\\tif (typeof temperature !== undefined) {\\n\\t    var percent = (temperature + 60)/120;\\n\\t    var index = Math.min(3, Math.floor(4 * percent));\\n\\t    res.url = images[index];\\n\\t}\\n\\treturn res;\\n}\",\"color\":\"#fe7568\",\"showTooltip\":true,\"autocloseTooltip\":true,\"labelFunction\":\"var deviceType = dsData[dsIndex]['deviceType'];\\r\\nif (typeof deviceType !== undefined) {\\r\\n    if (deviceType == \\\"energy meter\\\") {\\r\\n        return '<span style=\\\"color:orange;\\\">${entityName}, ${energy:2} kWt</span>';\\r\\n    } else if (deviceType == \\\"thermometer\\\") {\\r\\n        return '<span style=\\\"color:blue;\\\">${entityName}, ${temperature:2} °C</span>';\\r\\n    }\\r\\n}\",\"tooltipFunction\":\"var deviceType = dsData[dsIndex]['deviceType'];\\r\\nif (typeof deviceType !== undefined) {\\r\\n    if (deviceType == \\\"energy meter\\\") {\\r\\n        return '<b>${entityName}</b><br/><b>Energy:</b> ${energy:2} kWt<br/>';\\r\\n    } else if (deviceType == \\\"thermometer\\\") {\\r\\n        return '<b>${entityName}</b><br/><b>Temperature:</b> ${temperature:2} °C<br/>';\\r\\n    }\\r\\n}\",\"provider\":\"google-map\",\"defaultCenterPosition\":\"0,0\",\"showTooltipAction\":\"click\"},\"title\":\"Google Maps\",\"dropShadow\":true,\"enableFullscreen\":true,\"titleStyle\":{\"fontSize\":\"16px\",\"fontWeight\":400},\"useDashboardTimewindow\":true,\"showLegend\":false,\"widgetStyle\":{},\"actions\":{}}"
       }
+    },
+    {
+      "alias": "openstreetmap",
+      "name": "OpenStreetMap",
+      "descriptor": {
+        "type": "latest",
+        "sizeX": 8.5,
+        "sizeY": 6,
+        "resources": [],
+        "templateHtml": "",
+        "templateCss": ".leaflet-zoom-box {\n\tz-index: 9;\n}\n\n.leaflet-pane         { z-index: 4; }\n\n.leaflet-tile-pane    { z-index: 2; }\n.leaflet-overlay-pane { z-index: 4; }\n.leaflet-shadow-pane  { z-index: 5; }\n.leaflet-marker-pane  { z-index: 6; }\n.leaflet-tooltip-pane   { z-index: 7; }\n.leaflet-popup-pane   { z-index: 8; }\n\n.leaflet-map-pane canvas { z-index: 1; }\n.leaflet-map-pane svg    { z-index: 2; }\n\n.leaflet-control {\n\tz-index: 9;\n}\n.leaflet-top,\n.leaflet-bottom {\n\tz-index: 11;\n}\n\n.tb-marker-label {\n    border: none;\n    background: none;\n    box-shadow: none;\n}\n\n.tb-marker-label:before {\n    border: none;\n    background: none;\n}\n",
+        "controllerScript": "self.onInit = function() {\n    self.ctx.map = new TbMapWidgetV2('openstreet-map', false, self.ctx);\n}\n\nself.onDataUpdated = function() {\n    self.ctx.map.update();\n}\n\nself.onResize = function() {\n    self.ctx.map.resize();\n}\n\nself.getSettingsSchema = function() {\n    return TbMapWidgetV2.settingsSchema('openstreet-map');\n}\n\nself.getDataKeySettingsSchema = function() {\n    return TbMapWidgetV2.dataKeySettingsSchema('openstreet-map');\n}\n\nself.actionSources = function() {\n    return TbMapWidgetV2.actionSources();\n}\n\nself.onDestroy = function() {\n}\n\nself.typeParameters = function() {\n    return {\n        hasDataPageLink: true\n    };\n}",
+        "settingsSchema": "{}",
+        "dataKeySettingsSchema": "{}\n",
+        "defaultConfig": "{\"datasources\":[{\"type\":\"function\",\"name\":\"First point\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#2196f3\",\"settings\":{},\"_hash\":0.05427416942713381,\"funcBody\":\"var value = prevValue || 15.833293;\\nif (time % 5000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#4caf50\",\"settings\":{},\"_hash\":0.680594833308841,\"funcBody\":\"var value = prevValue || -90.454350;\\nif (time % 5000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"temperature\",\"color\":\"#9c27b0\",\"settings\":{},\"_hash\":0.9430343126300238,\"funcBody\":\"var value = prevValue + Math.random() * 40 - 20;\\nif (value < -60) {\\n\\tvalue = -60;\\n} else if (value > 60) {\\n\\tvalue = 60;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"type\",\"color\":\"#8bc34a\",\"settings\":{},\"_hash\":0.1784452363910778,\"funcBody\":\"return \\\"colorpin\\\";\"}]},{\"type\":\"function\",\"name\":\"Second point\",\"dataKeys\":[{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"latitude\",\"color\":\"#f44336\",\"settings\":{},\"_hash\":0.05012157428742059,\"funcBody\":\"var value = prevValue || 14.450463;\\nif (time % 4000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"longitude\",\"color\":\"#ffc107\",\"settings\":{},\"_hash\":0.6742359401617628,\"funcBody\":\"var value = prevValue || -84.845334;\\nif (time % 4000 < 500) {\\n    value += Math.random() * 0.05 - 0.025;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"temperature\",\"color\":\"#8bc34a\",\"settings\":{},\"_hash\":0.773875863339494,\"funcBody\":\"var value = prevValue + Math.random() * 40 - 20;\\nif (value < -60) {\\n\\tvalue = -60;\\n} else if (value > 60) {\\n\\tvalue = 60;\\n}\\nreturn value;\"},{\"name\":\"f(x)\",\"type\":\"function\",\"label\":\"type\",\"color\":\"#3f51b5\",\"settings\":{},\"_hash\":0.405822538899673,\"funcBody\":\"return \\\"thermomether\\\";\"}]}],\"timewindow\":{\"realtime\":{\"timewindowMs\":60000}},\"showTitle\":true,\"backgroundColor\":\"#fff\",\"color\":\"rgba(0, 0, 0, 0.87)\",\"padding\":\"8px\",\"settings\":{\"fitMapBounds\":true,\"latKeyName\":\"latitude\",\"lngKeyName\":\"longitude\",\"showLabel\":true,\"label\":\"${entityName}\",\"tooltipPattern\":\"<b>${entityName}</b><br/><br/><b>Latitude:</b> ${latitude:7}<br/><b>Longitude:</b> ${longitude:7}<br/><b>Temperature:</b> ${temperature} °C<br/><small>See advanced settings for 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\",\"data:image/png;base64,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\"],\"useMarkerImageFunction\":true,\"colorFunction\":\"var type = dsData[dsIndex]['type'];\\nif (type == 'colorpin') {\\n\\tvar temperature = dsData[dsIndex]['temperature'];\\n\\tif (typeof temperature !== undefined) {\\n\\t    var percent = (temperature + 60)/120 * 100;\\n\\t    return tinycolor.mix('blue', 'red', amount = percent).toHexString();\\n\\t}\\n\\treturn 'blue';\\n}\\n\",\"markerImageFunction\":\"var type = dsData[dsIndex]['type'];\\nif (type == 'thermomether') {\\n\\tvar res = {\\n\\t    url: images[0],\\n\\t    size: 40\\n\\t}\\n\\tvar temperature = dsData[dsIndex]['temperature'];\\n\\tif (typeof temperature !== undefined) {\\n\\t    var percent = (temperature + 60)/120;\\n\\t    var index = Math.min(3, Math.floor(4 * percent));\\n\\t    res.url = images[index];\\n\\t}\\n\\treturn res;\\n}\",\"color\":\"#fe7569\",\"mapProvider\":\"OpenStreetMap.Mapnik\",\"showTooltip\":true,\"autocloseTooltip\":true,\"tooltipFunction\":\"var deviceType = dsData[dsIndex]['deviceType'];\\r\\nif (typeof deviceType !== undefined) {\\r\\n    if (deviceType == \\\"energy meter\\\") {\\r\\n        return '<b>${entityName}</b><br/><b>Energy:</b> ${energy:2} kWt<br/>';\\r\\n    } else if (deviceType == \\\"thermometer\\\") {\\r\\n        return '<b>${entityName}</b><br/><b>Temperature:</b> ${temperature:2} °C<br/>';\\r\\n    }\\r\\n}\",\"labelFunction\":\"var deviceType = dsData[dsIndex]['deviceType'];\\r\\nif (typeof deviceType !== undefined) {\\r\\n    if (deviceType == \\\"energy meter\\\") {\\r\\n        return '<span style=\\\"color:orange;\\\">${entityName}, ${energy:2} kWt</span>';\\r\\n    } else if (deviceType == \\\"thermometer\\\") {\\r\\n        return '<span style=\\\"color:blue;\\\">${entityName}, ${temperature:2} °C</span>';\\r\\n    }\\r\\n}\",\"provider\":\"openstreet-map\",\"defaultCenterPosition\":\"0,0\",\"showTooltipAction\":\"click\"},\"title\":\"OpenStreetMap\",\"dropShadow\":true,\"enableFullscreen\":true,\"titleStyle\":{\"fontSize\":\"16px\",\"fontWeight\":400},\"useDashboardTimewindow\":true,\"showLegend\":false,\"widgetStyle\":{},\"actions\":{}}"
+      }
     }
   ]
-}
\ No newline at end of file
+}

@@ -86,6 +86,7 @@ BEGIN
     DROP INDEX IF EXISTS idx_asset_customer_id;
     DROP INDEX IF EXISTS idx_asset_customer_id_and_type;
     DROP INDEX IF EXISTS idx_asset_type;
+    DROP INDEX IF EXISTS idx_attribute_kv_by_key_and_last_update_ts;
 END;
 $$;
 
@@ -105,6 +106,7 @@ BEGIN
     CREATE INDEX IF NOT EXISTS idx_asset_customer_id ON asset(tenant_id, customer_id);
     CREATE INDEX IF NOT EXISTS idx_asset_customer_id_and_type ON asset(tenant_id, customer_id, type);
     CREATE INDEX IF NOT EXISTS idx_asset_type ON asset(tenant_id, type);
+    CREATE INDEX IF NOT EXISTS idx_attribute_kv_by_key_and_last_update_ts ON attribute_kv(entity_id, attribute_key, last_update_ts desc);
 END;
 $$;
 

@@ -39,6 +39,7 @@ import org.thingsboard.server.common.data.query.EntityDataQuery;
 import org.thingsboard.server.common.data.query.EntityDataSortOrder;
 import org.thingsboard.server.common.data.query.EntityFilter;
 import org.thingsboard.server.common.data.query.EntityFilterType;
+import org.thingsboard.server.common.data.query.EntityKeyType;
 import org.thingsboard.server.common.data.query.EntityListFilter;
 import org.thingsboard.server.common.data.query.EntityNameFilter;
 import org.thingsboard.server.common.data.query.EntitySearchQueryFilter;
@@ -200,6 +201,9 @@ public class DefaultEntityQueryRepository implements EntityQueryRepository {
         entityTableMap.put(EntityType.TENANT, "tenant");
     }
 
+    public static EntityType[] RELATION_QUERY_ENTITY_TYPES = new EntityType[]{
+            EntityType.TENANT, EntityType.CUSTOMER, EntityType.USER, EntityType.DASHBOARD, EntityType.ASSET, EntityType.DEVICE, EntityType.ENTITY_VIEW};
+
     private static final String HIERARCHICAL_QUERY_TEMPLATE = " FROM (WITH RECURSIVE related_entities(from_id, from_type, to_id, to_type, relation_type, lvl) AS (" +
             " SELECT from_id, from_type, to_id, to_type, relation_type, 1 as lvl" +
             " FROM relation" +
@@ -265,7 +269,8 @@ public class DefaultEntityQueryRepository implements EntityQueryRepository {
 
 
             String entityWhereClause = DefaultEntityQueryRepository.this.buildEntityWhere(ctx, query.getEntityFilter(), entityFieldsFiltersMapping);
-            String latestJoins = EntityKeyMapping.buildLatestJoins(ctx, query.getEntityFilter(), entityType, allLatestMappings);
+            String latestJoinsCnt = EntityKeyMapping.buildLatestJoins(ctx, query.getEntityFilter(), entityType, allLatestMappings, true);
+            String latestJoinsData = EntityKeyMapping.buildLatestJoins(ctx, query.getEntityFilter(), entityType, allLatestMappings, false);
             String whereClause = DefaultEntityQueryRepository.this.buildWhere(ctx, latestFiltersMapping, query.getEntityFilter().getType());
             String textSearchQuery = DefaultEntityQueryRepository.this.buildTextSearchQuery(ctx, selectionMapping, pageLink.getTextSearch());
             String entityFieldsSelection = EntityKeyMapping.buildSelections(entityFieldsSelectionMapping, query.getEntityFilter().getType(), entityType);
@@ -286,29 +291,44 @@ public class DefaultEntityQueryRepository implements EntityQueryRepository {
                 topSelection = topSelection + ", " + latestSelection;
             }
 
-            String fromClause = String.format("from (select %s from (select %s from %s e where %s) entities %s %s) result %s",
+            String fromClauseCount = String.format("from (select %s from (select %s from %s e where %s) entities %s %s) result %s",
+                    "entities.*",
+                    entityFieldsSelection,
+                    addEntityTableQuery(ctx, query.getEntityFilter()),
+                    entityWhereClause,
+                    latestJoinsCnt,
+                    whereClause,
+                    textSearchQuery);
+
+            String fromClauseData = String.format("from (select %s from (select %s from %s e where %s) entities %s %s) result %s",
                     topSelection,
                     entityFieldsSelection,
                     addEntityTableQuery(ctx, query.getEntityFilter()),
                     entityWhereClause,
-                    latestJoins,
+                    latestJoinsData,
                     whereClause,
                     textSearchQuery);
 
-            int totalElements = jdbcTemplate.queryForObject(String.format("select count(*) %s", fromClause), ctx, Integer.class);
+            if (!StringUtils.isEmpty(pageLink.getTextSearch())) {
+                //Unfortunately, we need to sacrifice performance in case of full text search, because it is applied to all joined records.
+                fromClauseCount = fromClauseData;
+            }
+            String countQuery = String.format("select count(id) %s", fromClauseCount);
+            int totalElements = jdbcTemplate.queryForObject(countQuery, ctx, Integer.class);
 
-            String dataQuery = String.format("select * %s", fromClause);
+            String dataQuery = String.format("select * %s", fromClauseData);
 
             EntityDataSortOrder sortOrder = pageLink.getSortOrder();
             if (sortOrder != null) {
                 Optional<EntityKeyMapping> sortOrderMappingOpt = mappings.stream().filter(EntityKeyMapping::isSortOrder).findFirst();
                 if (sortOrderMappingOpt.isPresent()) {
                     EntityKeyMapping sortOrderMapping = sortOrderMappingOpt.get();
-                    dataQuery = String.format("%s order by %s", dataQuery, sortOrderMapping.getValueAlias());
-                    if (sortOrder.getDirection() == EntityDataSortOrder.Direction.ASC) {
-                        dataQuery += " asc";
+                    String direction = sortOrder.getDirection() == EntityDataSortOrder.Direction.ASC ? "asc" : "desc";
+                    if (sortOrderMapping.getEntityKey().getType() == EntityKeyType.ENTITY_FIELD) {
+                        dataQuery = String.format("%s order by %s %s", dataQuery, sortOrderMapping.getValueAlias(), direction);
                     } else {
-                        dataQuery += " desc";
+                        dataQuery = String.format("%s order by %s %s, %s %s", dataQuery,
+                                sortOrderMapping.getSortOrderNumAlias(), direction, sortOrderMapping.getSortOrderStrAlias(), direction);
                     }
                 }
             }
@@ -329,10 +349,10 @@ public class DefaultEntityQueryRepository implements EntityQueryRepository {
         String entityFieldsQuery = EntityKeyMapping.buildQuery(ctx, entityFieldsFilters, entityFilter.getType());
         String result = permissionQuery;
         if (!entityFilterQuery.isEmpty()) {
-            result += " and " + entityFilterQuery;
+            result += " and (" + entityFilterQuery + ")";
         }
         if (!entityFieldsQuery.isEmpty()) {
-            result += " and " + entityFieldsQuery;
+            result += " and (" + entityFieldsQuery + ")";
         }
         return result;
     }
@@ -415,7 +435,12 @@ public class DefaultEntityQueryRepository implements EntityQueryRepository {
         String lvlFilter = getLvlFilter(entityFilter.getMaxLevel());
         String selectFields = "SELECT tenant_id, customer_id, id, created_time, type, name, label FROM " + entityType.name() + " WHERE id in ( SELECT entity_id";
         String from = getQueryTemplate(entityFilter.getDirection());
-        String whereFilter = " WHERE re.relation_type = :where_relation_type AND re.to_type = :where_entity_type";
+        String whereFilter = " WHERE";
+        if (!StringUtils.isEmpty(entityFilter.getRelationType())) {
+            ctx.addStringParameter("where_relation_type", entityFilter.getRelationType());
+            whereFilter += " re.relation_type = :where_relation_type AND";
+        }
+        whereFilter += " re.to_type = :where_entity_type";
 
         from = String.format(from, lvlFilter, whereFilter);
         String query = "( " + selectFields + from + ")";
@@ -426,7 +451,6 @@ public class DefaultEntityQueryRepository implements EntityQueryRepository {
         query += " )";
         ctx.addUuidParameter("relation_root_id", rootId.getId());
         ctx.addStringParameter("relation_root_type", rootId.getEntityType().name());
-        ctx.addStringParameter("where_relation_type", entityFilter.getRelationType());
         ctx.addStringParameter("where_entity_type", entityType.name());
         return query;
     }
@@ -446,46 +470,69 @@ public class DefaultEntityQueryRepository implements EntityQueryRepository {
         ctx.addUuidParameter("relation_root_id", rootId.getId());
         ctx.addStringParameter("relation_root_type", rootId.getEntityType().name());
 
-        StringBuilder whereFilter;
+        StringBuilder whereFilter = new StringBuilder();
+        ;
+        boolean noConditions = true;
         if (entityFilter.getFilters() != null && !entityFilter.getFilters().isEmpty()) {
-            whereFilter = new StringBuilder(" WHERE ");
-            boolean first = true;
             boolean single = entityFilter.getFilters().size() == 1;
             int entityTypeFilterIdx = 0;
             for (EntityTypeFilter etf : entityFilter.getFilters()) {
-                if (first) {
-                    first = false;
-                } else {
-                    whereFilter.append(" AND ");
-                }
-                String relationType = etf.getRelationType();
-                if (!single) {
-                    whereFilter.append(" (");
-                }
-                List<String> whereEntityTypes = etf.getEntityTypes().stream().map(EntityType::name).collect(Collectors.toList());
-                whereFilter
-                        .append(" re.relation_type = :where_relation_type").append(entityTypeFilterIdx);
-                if (!whereEntityTypes.isEmpty()) {
-                    whereFilter.append(" and re.")
-                            .append(entityFilter.getDirection().equals(EntitySearchDirection.FROM) ? "to" : "from")
-                            .append("_type in (:where_entity_types").append(entityTypeFilterIdx).append(")");
-                }
-                if (!single) {
-                    whereFilter.append(" )");
-                }
-                ctx.addStringParameter("where_relation_type" + entityTypeFilterIdx, relationType);
-                if (!whereEntityTypes.isEmpty()) {
-                    ctx.addStringListParameter("where_entity_types" + entityTypeFilterIdx, whereEntityTypes);
+                String etfCondition = buildEtfCondition(ctx, etf, entityFilter.getDirection(), entityTypeFilterIdx++);
+                if (!etfCondition.isEmpty()) {
+                    if (noConditions) {
+                        whereFilter.append(" WHERE ");
+                        noConditions = false;
+                    } else {
+                        whereFilter.append(" OR ");
+                    }
+                    if (!single) {
+                        whereFilter.append(" (");
+                    }
+                    whereFilter.append(etfCondition);
+                    if (!single) {
+                        whereFilter.append(" )");
+                    }
                 }
-                entityTypeFilterIdx++;
             }
-        } else {
-            whereFilter = new StringBuilder();
+        }
+        if (noConditions) {
+            whereFilter.append(" WHERE re.")
+                    .append(entityFilter.getDirection().equals(EntitySearchDirection.FROM) ? "to" : "from")
+                    .append("_type in (:where_entity_types").append(")");
+            ctx.addStringListParameter("where_entity_types", Arrays.stream(RELATION_QUERY_ENTITY_TYPES).map(EntityType::name).collect(Collectors.toList()));
         }
         from = String.format(from, lvlFilter, whereFilter);
         return "( " + selectFields + from + ")";
     }
 
+    private String buildEtfCondition(QueryContext ctx, EntityTypeFilter etf, EntitySearchDirection direction, int entityTypeFilterIdx) {
+        StringBuilder whereFilter = new StringBuilder();
+        String relationType = etf.getRelationType();
+        List<EntityType> entityTypes = etf.getEntityTypes();
+        List<String> whereEntityTypes;
+        if (entityTypes == null || entityTypes.isEmpty()) {
+            whereEntityTypes = Collections.emptyList();
+        } else {
+            whereEntityTypes = etf.getEntityTypes().stream().map(EntityType::name).collect(Collectors.toList());
+        }
+        boolean hasRelationType = !StringUtils.isEmpty(relationType);
+        if (hasRelationType) {
+            ctx.addStringParameter("where_relation_type" + entityTypeFilterIdx, relationType);
+            whereFilter
+                    .append("re.relation_type = :where_relation_type").append(entityTypeFilterIdx);
+        }
+        if (!whereEntityTypes.isEmpty()) {
+            if (hasRelationType) {
+                whereFilter.append(" and ");
+            }
+            whereFilter.append("re.")
+                    .append(direction.equals(EntitySearchDirection.FROM) ? "to" : "from")
+                    .append("_type in (:where_entity_types").append(entityTypeFilterIdx).append(")");
+            ctx.addStringListParameter("where_entity_types" + entityTypeFilterIdx, whereEntityTypes);
+        }
+        return whereFilter.toString();
+    }
+
     private String getLvlFilter(int maxLevel) {
         return maxLevel > 0 ? ("and lvl <= " + (maxLevel - 1)) : "";
     }

@@ -270,9 +270,10 @@ public class EntityKeyMapping {
                 Collectors.joining(", "));
     }
 
-    public static String buildLatestJoins(QueryContext ctx, EntityFilter entityFilter, EntityType entityType, List<EntityKeyMapping> latestMappings) {
-        return latestMappings.stream().map(mapping -> mapping.toLatestJoin(ctx, entityFilter, entityType)).collect(
-                Collectors.joining(" "));
+    public static String buildLatestJoins(QueryContext ctx, EntityFilter entityFilter, EntityType entityType, List<EntityKeyMapping> latestMappings, boolean countQuery) {
+        return latestMappings.stream().filter(mapping -> !countQuery || mapping.hasFilter())
+                .map(mapping -> mapping.toLatestJoin(ctx, entityFilter, entityType)).collect(
+                        Collectors.joining(" "));
     }
 
     public static String buildQuery(QueryContext ctx, List<EntityKeyMapping> mappings, EntityFilterType filterType) {
@@ -363,19 +364,14 @@ public class EntityKeyMapping {
     }
 
     private String buildAttributeSelection() {
-        String attrValAlias = getValueAlias();
-        String attrTsAlias = getTsAlias();
-        String attrValSelection =
-                String.format("(coalesce(cast(%s.bool_v as varchar), '') || " +
-                        "coalesce(%s.str_v, '') || " +
-                        "coalesce(cast(%s.long_v as varchar), '') || " +
-                        "coalesce(cast(%s.dbl_v as varchar), '') || " +
-                        "coalesce(cast(%s.json_v as varchar), '')) as %s", alias, alias, alias, alias, alias, attrValAlias);
-        String attrTsSelection = String.format("%s.last_update_ts as %s", alias, attrTsAlias);
-        return String.join(", ", attrValSelection, attrTsSelection);
+        return buildTimeSeriesOrAttrSelection(true);
     }
 
     private String buildTimeSeriesSelection() {
+        return buildTimeSeriesOrAttrSelection(false);
+    }
+
+    private String buildTimeSeriesOrAttrSelection(boolean attr) {
         String attrValAlias = getValueAlias();
         String attrTsAlias = getTsAlias();
         String attrValSelection =
@@ -384,8 +380,25 @@ public class EntityKeyMapping {
                         "coalesce(cast(%s.long_v as varchar), '') || " +
                         "coalesce(cast(%s.dbl_v as varchar), '') || " +
                         "coalesce(cast(%s.json_v as varchar), '')) as %s", alias, alias, alias, alias, alias, attrValAlias);
-        String attrTsSelection = String.format("%s.ts as %s", alias, attrTsAlias);
-        return String.join(", ", attrValSelection, attrTsSelection);
+        String attrTsSelection = String.format("%s.%s as %s", alias, attr ? "last_update_ts" : "ts", attrTsAlias);
+        if (this.isSortOrder) {
+            String attrNumAlias = getSortOrderNumAlias();
+            String attrVarcharAlias = getSortOrderStrAlias();
+            String attrSortOrderSelection =
+                    String.format("coalesce(%s.dbl_v, cast(%s.long_v as double precision), (case when %s.bool_v then 1 else 0 end)) %s," +
+                            "coalesce(%s.str_v, cast(%s.json_v as varchar), '') %s", alias, alias, alias, attrNumAlias, alias, alias, attrVarcharAlias);
+            return String.join(", ", attrValSelection, attrTsSelection, attrSortOrderSelection);
+        } else {
+            return String.join(", ", attrValSelection, attrTsSelection);
+        }
+    }
+
+    public String getSortOrderStrAlias() {
+        return getValueAlias() + "_so_varchar";
+    }
+
+    public String getSortOrderNumAlias() {
+        return getValueAlias() + "_so_num";
     }
 
     private String buildKeyQuery(QueryContext ctx, String alias, KeyFilter keyFilter,
@@ -425,7 +438,14 @@ public class EntityKeyMapping {
                 if (predicate.getType().equals(FilterPredicateType.NUMERIC)) {
                     return this.buildNumericPredicateQuery(ctx, field, (NumericFilterPredicate) predicate);
                 } else if (predicate.getType().equals(FilterPredicateType.STRING)) {
-                    return this.buildStringPredicateQuery(ctx, field, (StringFilterPredicate) predicate);
+                    if (key.getKey().equals("entityType") && !filterType.equals(EntityFilterType.RELATIONS_QUERY)) {
+                        field = ctx.getEntityType().toString();
+                        return this.buildStringPredicateQuery(ctx, field, (StringFilterPredicate) predicate)
+                                .replace("lower(" + field, "lower('" + field + "'")
+                                .replace(field + " ", "'" + field + "' ");
+                    } else {
+                        return this.buildStringPredicateQuery(ctx, field, (StringFilterPredicate) predicate);
+                    }
                 } else {
                     return this.buildBooleanPredicateQuery(ctx, field, (BooleanFilterPredicate) predicate);
                 }
@@ -460,30 +480,34 @@ public class EntityKeyMapping {
         }
         switch (stringFilterPredicate.getOperation()) {
             case EQUAL:
-                stringOperationQuery = String.format("%s = :%s", operationField, paramName);
+                stringOperationQuery = String.format("%s = :%s) or (%s is null and :%s = '')", operationField, paramName, operationField, paramName);
                 break;
             case NOT_EQUAL:
-                stringOperationQuery = String.format("%s != :%s", operationField, paramName);
+                stringOperationQuery = String.format("%s != :%s) or (%s is null and :%s != '')", operationField, paramName, operationField, paramName);
                 break;
             case STARTS_WITH:
                 value += "%";
-                stringOperationQuery = String.format("%s like :%s", operationField, paramName);
+                stringOperationQuery = String.format("%s like :%s) or (%s is null and :%s = '%%')", operationField, paramName, operationField, paramName);
                 break;
             case ENDS_WITH:
                 value = "%" + value;
-                stringOperationQuery = String.format("%s like :%s", operationField, paramName);
+                stringOperationQuery = String.format("%s like :%s) or (%s is null and :%s = '%%')", operationField, paramName, operationField, paramName);
                 break;
             case CONTAINS:
-                value = "%" + value + "%";
-                stringOperationQuery = String.format("%s like :%s", operationField, paramName);
+                if (value.length() > 0) {
+                    value = "%" + value + "%";
+                }
+                stringOperationQuery = String.format("%s like :%s) or (%s is null and :%s = '')", operationField, paramName, operationField, paramName);
                 break;
             case NOT_CONTAINS:
-                value = "%" + value + "%";
-                stringOperationQuery = String.format("%s not like :%s", operationField, paramName);
+                if (value.length() > 0) {
+                    value = "%" + value + "%";
+                }
+                stringOperationQuery = String.format("%s not like :%s) or (%s is null and :%s != '')", operationField, paramName, operationField, paramName);
                 break;
         }
         ctx.addStringParameter(paramName, value);
-        return String.format("(%s is not null and %s)", field, stringOperationQuery);
+        return String.format("((%s is not null and %s)", field, stringOperationQuery);
     }
 
     private String buildNumericPredicateQuery(QueryContext ctx, String field, NumericFilterPredicate numericFilterPredicate) {

@@ -15,6 +15,7 @@
  */
 package org.thingsboard.server.dao.sql.query;
 
+import lombok.extern.slf4j.Slf4j;
 import org.hibernate.type.PostgresUUIDType;
 import org.springframework.jdbc.core.namedparam.SqlParameterSource;
 import org.thingsboard.server.common.data.EntityType;
@@ -27,6 +28,7 @@ import java.util.List;
 import java.util.Map;
 import java.util.UUID;
 
+@Slf4j
 public class QueryContext implements SqlParameterSource {
     private static final PostgresUUIDType UUID_TYPE = new PostgresUUIDType();
 
@@ -41,10 +43,14 @@ public class QueryContext implements SqlParameterSource {
     }
 
     void addParameter(String name, Object value, int type, String typeName) {
-        Parameter existing = params.put(name, new Parameter(value, type, typeName));
-        if (existing != null) {
+        Parameter newParam = new Parameter(value, type, typeName);
+        Parameter oldParam = params.put(name, newParam);
+        if (oldParam != null && oldParam.value != null && !oldParam.value.equals(newParam.value)) {
             throw new RuntimeException("Parameter with name: " + name + " was already registered!");
         }
+        if(value == null){
+            log.warn("[{}][{}][{}] Trying to set null value", getTenantId(), getCustomerId(), name);
+        }
     }
 
     public void append(String s) {

@@ -36,4 +36,6 @@ CREATE INDEX IF NOT EXISTS idx_asset_customer_id ON asset(tenant_id, customer_id
 
 CREATE INDEX IF NOT EXISTS idx_asset_customer_id_and_type ON asset(tenant_id, customer_id, type);
 
-CREATE INDEX IF NOT EXISTS idx_asset_type ON asset(tenant_id, type);
\ No newline at end of file
+CREATE INDEX IF NOT EXISTS idx_asset_type ON asset(tenant_id, type);
+
+CREATE INDEX IF NOT EXISTS idx_attribute_kv_by_key_and_last_update_ts ON attribute_kv(entity_id, attribute_key, last_update_ts desc);
\ No newline at end of file

@@ -15,12 +15,14 @@
  */
 package org.thingsboard.server.dao.service;
 
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.JsonMappingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
 import com.google.common.util.concurrent.Futures;
 import com.google.common.util.concurrent.ListenableFuture;
 import org.junit.After;
 import org.junit.Assert;
 import org.junit.Before;
-import org.junit.Ignore;
 import org.junit.Test;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.thingsboard.server.common.data.DataConstants;
@@ -28,42 +30,23 @@ import org.thingsboard.server.common.data.Device;
 import org.thingsboard.server.common.data.EntityType;
 import org.thingsboard.server.common.data.Tenant;
 import org.thingsboard.server.common.data.asset.Asset;
-import org.thingsboard.server.common.data.asset.AssetSearchQuery;
-import org.thingsboard.server.common.data.id.CustomerId;
-import org.thingsboard.server.common.data.id.DeviceId;
-import org.thingsboard.server.common.data.id.EntityId;
-import org.thingsboard.server.common.data.id.TenantId;
-import org.thingsboard.server.common.data.kv.AttributeKvEntry;
-import org.thingsboard.server.common.data.kv.BaseAttributeKvEntry;
-import org.thingsboard.server.common.data.kv.KvEntry;
-import org.thingsboard.server.common.data.kv.LongDataEntry;
+import org.thingsboard.server.common.data.id.*;
+import org.thingsboard.server.common.data.kv.*;
 import org.thingsboard.server.common.data.page.PageData;
-import org.thingsboard.server.common.data.query.AssetSearchQueryFilter;
-import org.thingsboard.server.common.data.query.DeviceSearchQueryFilter;
-import org.thingsboard.server.common.data.query.DeviceTypeFilter;
-import org.thingsboard.server.common.data.query.EntityCountQuery;
-import org.thingsboard.server.common.data.query.EntityData;
-import org.thingsboard.server.common.data.query.EntityDataPageLink;
-import org.thingsboard.server.common.data.query.EntityDataQuery;
-import org.thingsboard.server.common.data.query.EntityDataSortOrder;
-import org.thingsboard.server.common.data.query.EntityKey;
-import org.thingsboard.server.common.data.query.EntityKeyType;
-import org.thingsboard.server.common.data.query.EntityListFilter;
-import org.thingsboard.server.common.data.query.FilterPredicateValue;
-import org.thingsboard.server.common.data.query.KeyFilter;
-import org.thingsboard.server.common.data.query.NumericFilterPredicate;
-import org.thingsboard.server.common.data.query.RelationsQueryFilter;
+import org.thingsboard.server.common.data.query.*;
 import org.thingsboard.server.common.data.relation.EntityRelation;
 import org.thingsboard.server.common.data.relation.EntitySearchDirection;
 import org.thingsboard.server.common.data.relation.EntityTypeFilter;
 import org.thingsboard.server.common.data.relation.RelationTypeGroup;
+import org.thingsboard.server.common.data.rule.RuleChain;
+import org.thingsboard.server.common.data.rule.RuleChainMetaData;
+import org.thingsboard.server.common.data.rule.RuleNode;
 import org.thingsboard.server.dao.attributes.AttributesService;
+import org.thingsboard.server.dao.model.sqlts.ts.TsKvEntity;
+import org.thingsboard.server.dao.rule.RuleChainService;
+import org.thingsboard.server.dao.timeseries.TimeseriesService;
 
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.Collections;
-import java.util.Comparator;
-import java.util.List;
+import java.util.*;
 import java.util.concurrent.ExecutionException;
 import java.util.stream.Collectors;
 
@@ -72,6 +55,9 @@ public abstract class BaseEntityServiceTest extends AbstractServiceTest {
     @Autowired
     private AttributesService attributesService;
 
+    @Autowired
+    private TimeseriesService timeseriesService;
+
     private TenantId tenantId;
 
     @Before
@@ -88,6 +74,7 @@ public abstract class BaseEntityServiceTest extends AbstractServiceTest {
         tenantService.deleteTenant(tenantId);
     }
 
+    
     @Test
     public void testCountEntitiesByQuery() throws InterruptedException {
         List<Device> devices = new ArrayList<>();
@@ -131,6 +118,7 @@ public abstract class BaseEntityServiceTest extends AbstractServiceTest {
         Assert.assertEquals(0, count);
     }
 
+    
     @Test
     public void testCountHierarchicalEntitiesByQuery() throws InterruptedException {
         List<Asset> assets = new ArrayList<>();
@@ -195,6 +183,7 @@ public abstract class BaseEntityServiceTest extends AbstractServiceTest {
         Assert.assertEquals(0, count);
     }
 
+    
     @Test
     public void testHierarchicalFindEntityDataWithAttributesByQuery() throws ExecutionException, InterruptedException {
         List<Asset> assets = new ArrayList<>();
@@ -266,6 +255,7 @@ public abstract class BaseEntityServiceTest extends AbstractServiceTest {
         deviceService.deleteDevicesByTenantId(tenantId);
     }
 
+    
     @Test
     public void testHierarchicalFindDevicesWithAttributesByQuery() throws ExecutionException, InterruptedException {
         List<Asset> assets = new ArrayList<>();
@@ -338,6 +328,7 @@ public abstract class BaseEntityServiceTest extends AbstractServiceTest {
         deviceService.deleteDevicesByTenantId(tenantId);
     }
 
+    
     @Test
     public void testHierarchicalFindAssetsWithAttributesByQuery() throws ExecutionException, InterruptedException {
         List<Asset> assets = new ArrayList<>();
@@ -456,6 +447,7 @@ public abstract class BaseEntityServiceTest extends AbstractServiceTest {
         }
     }
 
+    
     @Test
     public void testSimpleFindEntityDataByQuery() throws InterruptedException {
         List<Device> devices = new ArrayList<>();
@@ -526,6 +518,8 @@ public abstract class BaseEntityServiceTest extends AbstractServiceTest {
     @Test
     public void testFindEntityDataByQueryWithAttributes() throws ExecutionException, InterruptedException {
 
+        List<EntityKeyType> attributesEntityTypes = new ArrayList<>(Arrays.asList(EntityKeyType.CLIENT_ATTRIBUTE, EntityKeyType.SHARED_ATTRIBUTE, EntityKeyType.SERVER_ATTRIBUTE));
+
         List<Device> devices = new ArrayList<>();
         List<Long> temperatures = new ArrayList<>();
         List<Long> highTemperatures = new ArrayList<>();
@@ -548,6 +542,108 @@ public abstract class BaseEntityServiceTest extends AbstractServiceTest {
         List<ListenableFuture<List<Void>>> attributeFutures = new ArrayList<>();
         for (int i = 0; i < devices.size(); i++) {
             Device device = devices.get(i);
+            for (String currentScope : DataConstants.allScopes()) {
+                attributeFutures.add(saveLongAttribute(device.getId(), "temperature", temperatures.get(i), currentScope));
+            }
+        }
+        Futures.successfulAsList(attributeFutures).get();
+
+        DeviceTypeFilter filter = new DeviceTypeFilter();
+        filter.setDeviceType("default");
+        filter.setDeviceNameFilter("");
+
+        EntityDataSortOrder sortOrder = new EntityDataSortOrder(
+                new EntityKey(EntityKeyType.ENTITY_FIELD, "createdTime"), EntityDataSortOrder.Direction.ASC
+        );
+        EntityDataPageLink pageLink = new EntityDataPageLink(10, 0, null, sortOrder);
+        List<EntityKey> entityFields = Collections.singletonList(new EntityKey(EntityKeyType.ENTITY_FIELD, "name"));
+        for (EntityKeyType currentAttributeKeyType : attributesEntityTypes) {
+            List<EntityKey> latestValues = Collections.singletonList(new EntityKey(currentAttributeKeyType, "temperature"));
+            EntityDataQuery query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, null);
+            PageData<EntityData> data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+            List<EntityData> loadedEntities = new ArrayList<>(data.getData());
+            while (data.hasNext()) {
+                query = query.next();
+                data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+                loadedEntities.addAll(data.getData());
+            }
+            Assert.assertEquals(67, loadedEntities.size());
+            List<String> loadedTemperatures = new ArrayList<>();
+            for (Device device : devices) {
+                loadedTemperatures.add(loadedEntities.stream().filter(entityData -> entityData.getEntityId().equals(device.getId())).findFirst().orElse(null)
+                        .getLatest().get(currentAttributeKeyType).get("temperature").getValue());
+            }
+            List<String> deviceTemperatures = temperatures.stream().map(aLong -> Long.toString(aLong)).collect(Collectors.toList());
+            Assert.assertEquals(deviceTemperatures, loadedTemperatures);
+
+            pageLink = new EntityDataPageLink(10, 0, null, sortOrder);
+            KeyFilter highTemperatureFilter = createNumericKeyFilter("temperature", currentAttributeKeyType, NumericFilterPredicate.NumericOperation.GREATER, 45);
+            List<KeyFilter> keyFiltersHighTemperature = Collections.singletonList(highTemperatureFilter);
+
+            query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersHighTemperature);
+
+            data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+
+            loadedEntities = new ArrayList<>(data.getData());
+
+            while (data.hasNext()) {
+                query = query.next();
+                data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+                loadedEntities.addAll(data.getData());
+            }
+            Assert.assertEquals(highTemperatures.size(), loadedEntities.size());
+
+            List<String> loadedHighTemperatures = loadedEntities.stream().map(entityData ->
+                    entityData.getLatest().get(currentAttributeKeyType).get("temperature").getValue()).collect(Collectors.toList());
+            List<String> deviceHighTemperatures = highTemperatures.stream().map(aLong -> Long.toString(aLong)).collect(Collectors.toList());
+
+            Assert.assertEquals(deviceHighTemperatures, loadedHighTemperatures);
+
+        }
+        deviceService.deleteDevicesByTenantId(tenantId);
+    }
+
+    @Test
+    public void testBuildNumericPredicateQueryOperations() throws ExecutionException, InterruptedException{
+
+        List<Device> devices = new ArrayList<>();
+        List<Long> temperatures = new ArrayList<>();
+        List<Long> equalTemperatures = new ArrayList<>();
+        List<Long> notEqualTemperatures = new ArrayList<>();
+        List<Long> greaterTemperatures = new ArrayList<>();
+        List<Long> greaterOrEqualTemperatures = new ArrayList<>();
+        List<Long> lessTemperatures = new ArrayList<>();
+        List<Long> lessOrEqualTemperatures = new ArrayList<>();
+
+        for (int i = 0; i < 10; i++) {
+            Device device = new Device();
+            device.setTenantId(tenantId);
+            device.setName("Device" + i);
+            device.setType("default");
+            device.setLabel("testLabel" + (int) (Math.random() * 1000));
+            devices.add(deviceService.saveDevice(device));
+            //TO make sure devices have different created time
+            Thread.sleep(1);
+            long temperature = (long) (Math.random() * 100);
+            temperatures.add(temperature);
+            if (temperature == 45) {
+                greaterOrEqualTemperatures.add(temperature);
+                lessOrEqualTemperatures.add(temperature);
+                equalTemperatures.add(temperature);
+            } else if (temperature > 45) {
+                greaterTemperatures.add(temperature);
+                greaterOrEqualTemperatures.add(temperature);
+                notEqualTemperatures.add(temperature);
+            } else {
+                lessTemperatures.add(temperature);
+                lessOrEqualTemperatures.add(temperature);
+                notEqualTemperatures.add(temperature);
+            }
+        }
+
+        List<ListenableFuture<List<Void>>> attributeFutures = new ArrayList<>();
+        for (int i = 0; i < devices.size(); i++) {
+            Device device = devices.get(i);
             attributeFutures.add(saveLongAttribute(device.getId(), "temperature", temperatures.get(i), DataConstants.CLIENT_SCOPE));
         }
         Futures.successfulAsList(attributeFutures).get();
@@ -559,9 +655,155 @@ public abstract class BaseEntityServiceTest extends AbstractServiceTest {
         EntityDataSortOrder sortOrder = new EntityDataSortOrder(
                 new EntityKey(EntityKeyType.ENTITY_FIELD, "createdTime"), EntityDataSortOrder.Direction.ASC
         );
+
+        List<EntityKey> entityFields = Collections.singletonList(new EntityKey(EntityKeyType.ENTITY_FIELD, "name"));
+        List<EntityKey> latestValues = Collections.singletonList(new EntityKey(EntityKeyType.CLIENT_ATTRIBUTE, "temperature"));
+
+        KeyFilter greaterTemperatureFilter = createNumericKeyFilter("temperature", EntityKeyType.CLIENT_ATTRIBUTE, NumericFilterPredicate.NumericOperation.GREATER, 45);
+        List<KeyFilter> keyFiltersGreaterTemperature = Collections.singletonList(greaterTemperatureFilter);
+
+        KeyFilter greaterOrEqualTemperatureFilter = createNumericKeyFilter("temperature", EntityKeyType.CLIENT_ATTRIBUTE, NumericFilterPredicate.NumericOperation.GREATER_OR_EQUAL, 45);
+        List<KeyFilter> keyFiltersGreaterOrEqualTemperature = Collections.singletonList(greaterOrEqualTemperatureFilter);
+
+        KeyFilter lessTemperatureFilter = createNumericKeyFilter("temperature", EntityKeyType.CLIENT_ATTRIBUTE, NumericFilterPredicate.NumericOperation.LESS, 45);
+        List<KeyFilter> keyFiltersLessTemperature = Collections.singletonList(lessTemperatureFilter);
+
+        KeyFilter lessOrEqualTemperatureFilter = createNumericKeyFilter("temperature", EntityKeyType.CLIENT_ATTRIBUTE, NumericFilterPredicate.NumericOperation.LESS_OR_EQUAL, 45);
+        List<KeyFilter> keyFiltersLessOrEqualTemperature = Collections.singletonList(lessOrEqualTemperatureFilter);
+
+        KeyFilter equalTemperatureFilter = createNumericKeyFilter("temperature", EntityKeyType.CLIENT_ATTRIBUTE, NumericFilterPredicate.NumericOperation.EQUAL, 45);
+        List<KeyFilter> keyFiltersEqualTemperature = Collections.singletonList(equalTemperatureFilter);
+
+        KeyFilter notEqualTemperatureFilter = createNumericKeyFilter("temperature", EntityKeyType.CLIENT_ATTRIBUTE, NumericFilterPredicate.NumericOperation.NOT_EQUAL, 45);
+        List<KeyFilter> keyFiltersNotEqualTemperature = Collections.singletonList(notEqualTemperatureFilter);
+
+        //Greater Operation
+
+        EntityDataPageLink pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        EntityDataQuery query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersGreaterTemperature);
+        PageData<EntityData> data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        List<EntityData> loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(greaterTemperatures.size(), loadedEntities.size());
+
+        List<String> loadedTemperatures = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.CLIENT_ATTRIBUTE).get("temperature").getValue()).collect(Collectors.toList());
+        List<String> deviceTemperatures = greaterTemperatures.stream().map(aLong -> Long.toString(aLong)).collect(Collectors.toList());
+
+        Assert.assertEquals(deviceTemperatures, loadedTemperatures);
+
+        //Greater or equal Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersGreaterOrEqualTemperature);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(greaterOrEqualTemperatures.size(), loadedEntities.size());
+
+        loadedTemperatures = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.CLIENT_ATTRIBUTE).get("temperature").getValue()).collect(Collectors.toList());
+        deviceTemperatures = greaterOrEqualTemperatures.stream().map(aLong -> Long.toString(aLong)).collect(Collectors.toList());
+
+        Assert.assertEquals(deviceTemperatures, loadedTemperatures);
+
+        //Less Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersLessTemperature);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(lessTemperatures.size(), loadedEntities.size());
+
+        loadedTemperatures = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.CLIENT_ATTRIBUTE).get("temperature").getValue()).collect(Collectors.toList());
+        deviceTemperatures = lessTemperatures.stream().map(aLong -> Long.toString(aLong)).collect(Collectors.toList());
+
+        Assert.assertEquals(deviceTemperatures, loadedTemperatures);
+
+        //Less or equal Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersLessOrEqualTemperature);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(lessOrEqualTemperatures.size(), loadedEntities.size());
+
+        loadedTemperatures = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.CLIENT_ATTRIBUTE).get("temperature").getValue()).collect(Collectors.toList());
+        deviceTemperatures = lessOrEqualTemperatures.stream().map(aLong -> Long.toString(aLong)).collect(Collectors.toList());
+
+        Assert.assertEquals(deviceTemperatures, loadedTemperatures);
+
+        //Equal Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersEqualTemperature);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(equalTemperatures.size(), loadedEntities.size());
+
+        loadedTemperatures = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.CLIENT_ATTRIBUTE).get("temperature").getValue()).collect(Collectors.toList());
+        deviceTemperatures = equalTemperatures.stream().map(aLong -> Long.toString(aLong)).collect(Collectors.toList());
+
+        Assert.assertEquals(deviceTemperatures, loadedTemperatures);
+
+        //Not equal Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersNotEqualTemperature);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(notEqualTemperatures.size(), loadedEntities.size());
+
+        loadedTemperatures = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.CLIENT_ATTRIBUTE).get("temperature").getValue()).collect(Collectors.toList());
+        deviceTemperatures = notEqualTemperatures.stream().map(aLong -> Long.toString(aLong)).collect(Collectors.toList());
+
+        Assert.assertEquals(deviceTemperatures, loadedTemperatures);
+
+
+        deviceService.deleteDevicesByTenantId(tenantId);
+    }
+    
+    @Test
+    public void testFindEntityDataByQueryWithTimeseries() throws ExecutionException, InterruptedException {
+
+        List<Device> devices = new ArrayList<>();
+        List<Double> temperatures = new ArrayList<>();
+        List<Double> highTemperatures = new ArrayList<>();
+        for (int i = 0; i < 67; i++) {
+            Device device = new Device();
+            device.setTenantId(tenantId);
+            device.setName("Device" + i);
+            device.setType("default");
+            device.setLabel("testLabel" + (int) (Math.random() * 1000));
+            devices.add(deviceService.saveDevice(device));
+            //TO make sure devices have different created time
+            Thread.sleep(1);
+            double temperature = (double) (Math.random() * 100.0);
+            temperatures.add(temperature);
+            if (temperature > 45.0) {
+                highTemperatures.add(temperature);
+            }
+        }
+
+        List<ListenableFuture<List<Void>>> timeseriesFutures = new ArrayList<>();
+        for (int i = 0; i < devices.size(); i++) {
+            Device device = devices.get(i);
+            timeseriesFutures.add(saveLongTimeseries(device.getId(), "temperature", temperatures.get(i)));
+        }
+        Futures.successfulAsList(timeseriesFutures).get();
+
+        DeviceTypeFilter filter = new DeviceTypeFilter();
+        filter.setDeviceType("default");
+        filter.setDeviceNameFilter("");
+
+        EntityDataSortOrder sortOrder = new EntityDataSortOrder(
+                new EntityKey(EntityKeyType.ENTITY_FIELD, "createdTime"), EntityDataSortOrder.Direction.ASC
+        );
         EntityDataPageLink pageLink = new EntityDataPageLink(10, 0, null, sortOrder);
         List<EntityKey> entityFields = Collections.singletonList(new EntityKey(EntityKeyType.ENTITY_FIELD, "name"));
-        List<EntityKey> latestValues = Collections.singletonList(new EntityKey(EntityKeyType.ATTRIBUTE, "temperature"));
+        List<EntityKey> latestValues = Collections.singletonList(new EntityKey(EntityKeyType.TIME_SERIES, "temperature"));
 
         EntityDataQuery query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, null);
         PageData<EntityData> data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
@@ -576,14 +818,14 @@ public abstract class BaseEntityServiceTest extends AbstractServiceTest {
         List<String> loadedTemperatures = new ArrayList<>();
         for (Device device : devices) {
             loadedTemperatures.add(loadedEntities.stream().filter(entityData -> entityData.getEntityId().equals(device.getId())).findFirst().orElse(null)
-                    .getLatest().get(EntityKeyType.ATTRIBUTE).get("temperature").getValue());
+                    .getLatest().get(EntityKeyType.TIME_SERIES).get("temperature").getValue());
         }
-        List<String> deviceTemperatures = temperatures.stream().map(aLong -> Long.toString(aLong)).collect(Collectors.toList());
+        List<String> deviceTemperatures = temperatures.stream().map(aDouble -> Double.toString(aDouble)).collect(Collectors.toList());
         Assert.assertEquals(deviceTemperatures, loadedTemperatures);
 
         pageLink = new EntityDataPageLink(10, 0, null, sortOrder);
         KeyFilter highTemperatureFilter = new KeyFilter();
-        highTemperatureFilter.setKey(new EntityKey(EntityKeyType.ATTRIBUTE, "temperature"));
+        highTemperatureFilter.setKey(new EntityKey(EntityKeyType.TIME_SERIES, "temperature"));
         NumericFilterPredicate predicate = new NumericFilterPredicate();
         predicate.setValue(FilterPredicateValue.fromDouble(45));
         predicate.setOperation(NumericFilterPredicate.NumericOperation.GREATER);
@@ -603,17 +845,425 @@ public abstract class BaseEntityServiceTest extends AbstractServiceTest {
         Assert.assertEquals(highTemperatures.size(), loadedEntities.size());
 
         List<String> loadedHighTemperatures = loadedEntities.stream().map(entityData ->
-                entityData.getLatest().get(EntityKeyType.ATTRIBUTE).get("temperature").getValue()).collect(Collectors.toList());
-        List<String> deviceHighTemperatures = highTemperatures.stream().map(aLong -> Long.toString(aLong)).collect(Collectors.toList());
+                entityData.getLatest().get(EntityKeyType.TIME_SERIES).get("temperature").getValue()).collect(Collectors.toList());
+        List<String> deviceHighTemperatures = highTemperatures.stream().map(aDouble -> Double.toString(aDouble)).collect(Collectors.toList());
 
         Assert.assertEquals(deviceHighTemperatures, loadedHighTemperatures);
 
         deviceService.deleteDevicesByTenantId(tenantId);
     }
 
+    @Test
+    public void testBuildStringPredicateQueryOperations() throws ExecutionException, InterruptedException{
+
+        List<Device> devices = new ArrayList<>();
+        List<String> attributeStrings = new ArrayList<>();
+        List<String> equalStrings = new ArrayList<>();
+        List<String> notEqualStrings = new ArrayList<>();
+        List<String> startsWithStrings = new ArrayList<>();
+        List<String> endsWithStrings = new ArrayList<>();
+        List<String> containsStrings = new ArrayList<>();
+        List<String> notContainsStrings = new ArrayList<>();
+
+        for (int i = 0; i < 10; i++) {
+            Device device = new Device();
+            device.setTenantId(tenantId);
+            device.setName("Device" + i);
+            device.setType("default");
+            device.setLabel("testLabel" + (int) (Math.random() * 1000));
+            devices.add(deviceService.saveDevice(device));
+            //TO make sure devices have different created time
+            Thread.sleep(1);
+            List<StringFilterPredicate.StringOperation> operationValues= Arrays.asList(StringFilterPredicate.StringOperation.values());
+            StringFilterPredicate.StringOperation operation = operationValues.get(new Random().nextInt(operationValues.size()));
+            String operationName = operation.name();
+            attributeStrings.add(operationName);
+            switch(operation){
+                case EQUAL:
+                    equalStrings.add(operationName);
+                    notContainsStrings.add(operationName);
+                    notEqualStrings.add(operationName);
+                    break;
+                case NOT_EQUAL:
+                    notContainsStrings.add(operationName);
+                    break;
+                case STARTS_WITH:
+                    notEqualStrings.add(operationName);
+                    startsWithStrings.add(operationName);
+                    endsWithStrings.add(operationName);
+                    notContainsStrings.add(operationName);
+                    break;
+                case ENDS_WITH:
+                    notEqualStrings.add(operationName);
+                    endsWithStrings.add(operationName);
+                    notContainsStrings.add(operationName);
+                    break;
+                case CONTAINS:
+                    notEqualStrings.add(operationName);
+                    notContainsStrings.add(operationName);
+                    containsStrings.add(operationName);
+                    break;
+                case NOT_CONTAINS:
+                    notEqualStrings.add(operationName);
+                    containsStrings.add(operationName);
+                    break;
+            }
+        }
+
+        List<ListenableFuture<List<Void>>> attributeFutures = new ArrayList<>();
+        for (int i = 0; i < devices.size(); i++) {
+            Device device = devices.get(i);
+            attributeFutures.add(saveStringAttribute(device.getId(), "attributeString", attributeStrings.get(i), DataConstants.CLIENT_SCOPE));
+        }
+        Futures.successfulAsList(attributeFutures).get();
+
+        DeviceTypeFilter filter = new DeviceTypeFilter();
+        filter.setDeviceType("default");
+        filter.setDeviceNameFilter("");
+
+        EntityDataSortOrder sortOrder = new EntityDataSortOrder(
+                new EntityKey(EntityKeyType.ENTITY_FIELD, "createdTime"), EntityDataSortOrder.Direction.DESC
+        );
+
+        List<EntityKey> entityFields = Arrays.asList(new EntityKey(EntityKeyType.ENTITY_FIELD, "name"),
+                new EntityKey(EntityKeyType.ENTITY_FIELD, "entityType"));
+
+        List<EntityKey> latestValues = Collections.singletonList(new EntityKey(EntityKeyType.CLIENT_ATTRIBUTE, "attributeString"));
+
+        List<KeyFilter> keyFiltersEqualString = createStringKeyFilters("attributeString", EntityKeyType.CLIENT_ATTRIBUTE, StringFilterPredicate.StringOperation.EQUAL, "equal");
+
+        List<KeyFilter> keyFiltersNotEqualString = createStringKeyFilters("attributeString", EntityKeyType.CLIENT_ATTRIBUTE, StringFilterPredicate.StringOperation.NOT_EQUAL, "NOT_EQUAL");
+
+        List<KeyFilter> keyFiltersStartsWithString = createStringKeyFilters("attributeString", EntityKeyType.CLIENT_ATTRIBUTE, StringFilterPredicate.StringOperation.STARTS_WITH, "starts_");
+
+        List<KeyFilter> keyFiltersEndsWithString = createStringKeyFilters("attributeString", EntityKeyType.CLIENT_ATTRIBUTE, StringFilterPredicate.StringOperation.ENDS_WITH, "_WITH");
+
+        List<KeyFilter> keyFiltersContainsString = createStringKeyFilters("attributeString", EntityKeyType.CLIENT_ATTRIBUTE, StringFilterPredicate.StringOperation.CONTAINS, "contains");
+
+        List<KeyFilter> keyFiltersNotContainsString = createStringKeyFilters("attributeString", EntityKeyType.CLIENT_ATTRIBUTE, StringFilterPredicate.StringOperation.NOT_CONTAINS, "NOT_CONTAINS");
+
+        List<KeyFilter> deviceTypeFilters = createStringKeyFilters("entityType", EntityKeyType.ENTITY_FIELD, StringFilterPredicate.StringOperation.NOT_EQUAL, "NOT_EQUAL");
+
+        // Equal Operation
+
+        EntityDataPageLink pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        EntityDataQuery query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersEqualString);
+        PageData<EntityData> data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        List<EntityData> loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(equalStrings.size(), loadedEntities.size());
+
+        List<String> loadedStrings = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.CLIENT_ATTRIBUTE).get("attributeString").getValue()).collect(Collectors.toList());
+
+        Assert.assertTrue(listEqualWithoutOrder(equalStrings, loadedStrings));
+
+        // Not equal Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersNotEqualString);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(notEqualStrings.size(), loadedEntities.size());
+
+        loadedStrings = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.CLIENT_ATTRIBUTE).get("attributeString").getValue()).collect(Collectors.toList());
+
+        Assert.assertTrue(listEqualWithoutOrder(notEqualStrings, loadedStrings));
+
+        // Starts with Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersStartsWithString);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(startsWithStrings.size(), loadedEntities.size());
+
+        loadedStrings = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.CLIENT_ATTRIBUTE).get("attributeString").getValue()).collect(Collectors.toList());
+
+        Assert.assertTrue(listEqualWithoutOrder(startsWithStrings, loadedStrings));
+
+        // Ends with Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersEndsWithString);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(endsWithStrings.size(), loadedEntities.size());
+
+        loadedStrings = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.CLIENT_ATTRIBUTE).get("attributeString").getValue()).collect(Collectors.toList());
+
+        Assert.assertTrue(listEqualWithoutOrder(endsWithStrings, loadedStrings));
+
+        // Contains Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersContainsString);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(containsStrings.size(), loadedEntities.size());
+
+        loadedStrings = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.CLIENT_ATTRIBUTE).get("attributeString").getValue()).collect(Collectors.toList());
+
+        Assert.assertTrue(listEqualWithoutOrder(containsStrings, loadedStrings));
+
+        // Not contains Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, keyFiltersNotContainsString);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(notContainsStrings.size(), loadedEntities.size());
+
+        loadedStrings = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.CLIENT_ATTRIBUTE).get("attributeString").getValue()).collect(Collectors.toList());
+
+        Assert.assertTrue(listEqualWithoutOrder(notContainsStrings, loadedStrings));
+
+        // Device type filters Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, latestValues, deviceTypeFilters);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(devices.size(), loadedEntities.size());
+
+        deviceService.deleteDevicesByTenantId(tenantId);
+    }
+
+    @Test
+    public void testBuildStringPredicateQueryOperationsForEntityType() throws ExecutionException, InterruptedException{
+
+        List<Device> devices = new ArrayList<>();
+
+        for (int i = 0; i < 10; i++) {
+            Device device = new Device();
+            device.setTenantId(tenantId);
+            device.setName("Device" + i);
+            device.setType("default");
+            device.setLabel("testLabel" + (int) (Math.random() * 1000));
+            devices.add(deviceService.saveDevice(device));
+            //TO make sure devices have different created time
+            Thread.sleep(1);
+        }
+
+        DeviceTypeFilter filter = new DeviceTypeFilter();
+        filter.setDeviceType("default");
+        filter.setDeviceNameFilter("");
+
+        EntityDataSortOrder sortOrder = new EntityDataSortOrder(
+                new EntityKey(EntityKeyType.ENTITY_FIELD, "createdTime"), EntityDataSortOrder.Direction.DESC
+        );
+
+        List<EntityKey> entityFields = Arrays.asList(new EntityKey(EntityKeyType.ENTITY_FIELD, "name"),
+                new EntityKey(EntityKeyType.ENTITY_FIELD, "entityType"));
+
+        List<KeyFilter> keyFiltersEqualString = createStringKeyFilters("entityType", EntityKeyType.ENTITY_FIELD, StringFilterPredicate.StringOperation.EQUAL, "device");
+        List<KeyFilter> keyFiltersNotEqualString = createStringKeyFilters("entityType", EntityKeyType.ENTITY_FIELD, StringFilterPredicate.StringOperation.NOT_EQUAL, "asset");
+        List<KeyFilter> keyFiltersStartsWithString = createStringKeyFilters("entityType", EntityKeyType.ENTITY_FIELD, StringFilterPredicate.StringOperation.STARTS_WITH, "dev");
+        List<KeyFilter> keyFiltersEndsWithString = createStringKeyFilters("entityType", EntityKeyType.ENTITY_FIELD, StringFilterPredicate.StringOperation.ENDS_WITH, "ice");
+        List<KeyFilter> keyFiltersContainsString = createStringKeyFilters("entityType", EntityKeyType.ENTITY_FIELD, StringFilterPredicate.StringOperation.CONTAINS, "vic");
+        List<KeyFilter> keyFiltersNotContainsString = createStringKeyFilters("entityType", EntityKeyType.ENTITY_FIELD, StringFilterPredicate.StringOperation.NOT_CONTAINS, "dolphin");
+
+        // Equal Operation
+
+        EntityDataPageLink pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        EntityDataQuery query = new EntityDataQuery(filter, pageLink, entityFields, null, keyFiltersEqualString);
+        PageData<EntityData> data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        List<EntityData> loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(devices.size(), loadedEntities.size());
+
+        List<String> loadedStrings = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.ENTITY_FIELD).get("name").getValue()).collect(Collectors.toList());
+
+        List<String> devicesNames = devices.stream().map(Device::getName).collect(Collectors.toList());
+
+        Assert.assertTrue(listEqualWithoutOrder(devicesNames, loadedStrings));
+
+        // Not equal Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, null, keyFiltersNotEqualString);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(devices.size(), loadedEntities.size());
+
+        loadedStrings = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.ENTITY_FIELD).get("name").getValue()).collect(Collectors.toList());
+
+        Assert.assertTrue(listEqualWithoutOrder(devicesNames, loadedStrings));
+
+        // Starts with Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, null, keyFiltersStartsWithString);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(devices.size(), loadedEntities.size());
+
+        loadedStrings = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.ENTITY_FIELD).get("name").getValue()).collect(Collectors.toList());
+
+        Assert.assertTrue(listEqualWithoutOrder(devicesNames, loadedStrings));
+
+        // Ends with Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, null, keyFiltersEndsWithString);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(devices.size(), loadedEntities.size());
+
+        loadedStrings = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.ENTITY_FIELD).get("name").getValue()).collect(Collectors.toList());
+
+        Assert.assertTrue(listEqualWithoutOrder(devicesNames, loadedStrings));
+
+        // Contains Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, null, keyFiltersContainsString);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(devices.size(), loadedEntities.size());
+
+        loadedStrings = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.ENTITY_FIELD).get("name").getValue()).collect(Collectors.toList());
+
+        Assert.assertTrue(listEqualWithoutOrder(devicesNames, loadedStrings));
+
+        // Not contains Operation
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, null, keyFiltersNotContainsString);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(devices.size(), loadedEntities.size());
+
+        loadedStrings = loadedEntities.stream().map(entityData ->
+                entityData.getLatest().get(EntityKeyType.ENTITY_FIELD).get("name").getValue()).collect(Collectors.toList());
+
+        Assert.assertTrue(listEqualWithoutOrder(devicesNames, loadedStrings));
+
+        deviceService.deleteDevicesByTenantId(tenantId);
+    }
+
+    @Test
+    public void testBuildSimplePredicateQueryOperations() throws InterruptedException{
+
+        List<Device> devices = new ArrayList<>();
+
+        for (int i = 0; i < 10; i++) {
+            Device device = new Device();
+            device.setTenantId(tenantId);
+            device.setName("Device" + i);
+            device.setType("default");
+            device.setLabel("testLabel" + (int) (Math.random() * 1000));
+            devices.add(deviceService.saveDevice(device));
+            //TO make sure devices have different created time
+            Thread.sleep(1);
+        }
+
+        DeviceTypeFilter filter = new DeviceTypeFilter();
+        filter.setDeviceType("default");
+        filter.setDeviceNameFilter("");
+
+        EntityDataSortOrder sortOrder = new EntityDataSortOrder(new EntityKey(EntityKeyType.ENTITY_FIELD, "name"), EntityDataSortOrder.Direction.DESC);
+
+        List<KeyFilter> deviceTypeFilters = createStringKeyFilters("type", EntityKeyType.ENTITY_FIELD, StringFilterPredicate.StringOperation.EQUAL, "default");
+
+        KeyFilter createdTimeFilter = createNumericKeyFilter("createdTime", EntityKeyType.ENTITY_FIELD, NumericFilterPredicate.NumericOperation.GREATER, 1L);
+        List<KeyFilter> createdTimeFilters = Collections.singletonList(createdTimeFilter);
+
+        List<KeyFilter> nameFilters = createStringKeyFilters("name", EntityKeyType.ENTITY_FIELD, StringFilterPredicate.StringOperation.CONTAINS, "Device");
+
+        List<EntityKey> entityFields = Arrays.asList(new EntityKey(EntityKeyType.ENTITY_FIELD, "name"),
+                new EntityKey(EntityKeyType.ENTITY_FIELD, "type"));
+
+        // Device type filters
+
+        EntityDataPageLink pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        EntityDataQuery query = new EntityDataQuery(filter, pageLink, entityFields, null, deviceTypeFilters);
+        PageData data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        List<EntityData> loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(devices.size(), loadedEntities.size());
+
+        // Device create time filters
+
+        pageLink = new EntityDataPageLink(100, 0, null, sortOrder);
+        query = new EntityDataQuery(filter, pageLink, entityFields, null, createdTimeFilters);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(devices.size(), loadedEntities.size());
+
+        // Device name filters
+
+        pageLink = new EntityDataPageLink(100, 0, null, null);
+        query = new EntityDataQuery(filter, pageLink, entityFields, null, nameFilters);
+        data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+        loadedEntities = getLoadedEntities(data, query);
+        Assert.assertEquals(devices.size(), loadedEntities.size());
+
+        deviceService.deleteDevicesByTenantId(tenantId);
+    }
+
+    private Boolean listEqualWithoutOrder(List<String> A, List<String> B) {
+        return A.containsAll(B) && B.containsAll(A);
+    }
+
+    private List<EntityData> getLoadedEntities(PageData data, EntityDataQuery query) {
+        List<EntityData> loadedEntities = new ArrayList<>(data.getData());
+
+        while (data.hasNext()) {
+            query = query.next();
+            data = entityService.findEntityDataByQuery(tenantId, new CustomerId(CustomerId.NULL_UUID), query);
+            loadedEntities.addAll(data.getData());
+        }
+        return loadedEntities;
+    }
+
+    private List<KeyFilter> createStringKeyFilters(String key, EntityKeyType keyType, StringFilterPredicate.StringOperation operation, String value){
+        KeyFilter filter = new KeyFilter();
+        filter.setKey(new EntityKey(keyType, key));
+        StringFilterPredicate predicate = new StringFilterPredicate();
+        predicate.setValue(FilterPredicateValue.fromString(value));
+        predicate.setOperation(operation);
+        predicate.setIgnoreCase(true);
+        filter.setPredicate(predicate);
+        return Collections.singletonList(filter);
+    }
+
+    private KeyFilter createNumericKeyFilter(String key, EntityKeyType keyType, NumericFilterPredicate.NumericOperation operation, double value){
+        KeyFilter filter = new KeyFilter();
+        filter.setKey(new EntityKey(keyType, key));
+        NumericFilterPredicate predicate = new NumericFilterPredicate();
+        predicate.setValue(FilterPredicateValue.fromDouble(value));
+        predicate.setOperation(operation);
+        filter.setPredicate(predicate);
+
+        return filter;
+    }
+
     private ListenableFuture<List<Void>> saveLongAttribute(EntityId entityId, String key, long value, String scope) {
         KvEntry attrValue = new LongDataEntry(key, value);
         AttributeKvEntry attr = new BaseAttributeKvEntry(attrValue, 42L);
         return attributesService.save(SYSTEM_TENANT_ID, entityId, scope, Collections.singletonList(attr));
     }
+
+    private ListenableFuture<List<Void>> saveStringAttribute(EntityId entityId, String key, String value, String scope) {
+        KvEntry attrValue = new StringDataEntry(key, value);
+        AttributeKvEntry attr = new BaseAttributeKvEntry(attrValue, 42L);
+        return attributesService.save(SYSTEM_TENANT_ID, entityId, scope, Collections.singletonList(attr));
+    }
+
+    private ListenableFuture<List<Void>> saveLongTimeseries(EntityId entityId, String key, Double value) {
+        TsKvEntity tsKv = new TsKvEntity();
+        tsKv.setStrKey(key);
+        tsKv.setDoubleValue(value);
+        KvEntry telemetryValue = new DoubleDataEntry(key, value);
+        BasicTsKvEntry timeseries = new BasicTsKvEntry(42L, telemetryValue);
+        return timeseriesService.save(SYSTEM_TENANT_ID, entityId, timeseries);
+    }
 }

@@ -75,7 +75,7 @@ export class AddAttributeDialogComponent extends DialogComponent<AddAttributeDia
     this.submitted = true;
     const attribute: AttributeData = {
       lastUpdateTs: null,
-      key: this.attributeFormGroup.get('key').value,
+      key: this.attributeFormGroup.get('key').value.trim(),
       value: this.attributeFormGroup.get('value').value
     };
     this.attributeService.saveEntityAttributes(this.data.entityId,

@@ -129,7 +129,7 @@ export abstract class EntityComponent<T extends BaseData<HasId>,
         acc[curr] = obj[curr];
       }
       return acc;
-    }, {});
+    }, Array.isArray(obj) ? [] : {});
   }
 
   protected setEntitiesTableConfig(entitiesTableConfig: C) {

@@ -29,13 +29,6 @@
     <fieldset [disabled]="isLoading$ | async" fxLayout="column">
       <section fxLayout="row" fxLayoutGap="8px" class="entity-key">
         <section fxFlex="70" fxLayout="row" formGroupName="key" fxLayoutGap="8px">
-          <mat-form-field fxFlex="60" class="mat-block">
-            <mat-label translate>filter.key-name</mat-label>
-            <input matInput required formControlName="key">
-            <mat-error *ngIf="keyFilterFormGroup.get('key.key').hasError('required')">
-              {{ 'filter.key-name-required' | translate }}
-            </mat-error>
-          </mat-form-field>
           <mat-form-field fxFlex="40" class="mat-block">
             <mat-label translate>filter.key-type.key-type</mat-label>
             <mat-select required formControlName="type">
@@ -44,10 +37,24 @@
               </mat-option>
             </mat-select>
           </mat-form-field>
+          <mat-form-field fxFlex="60" class="mat-block">
+            <mat-label translate>filter.key-name</mat-label>
+            <input matInput required formControlName="key"
+                   [matAutocomplete]="auto"
+                   [matAutocompleteDisabled]="keyFilterFormGroup.get('key.type').value !== entityField">
+            <mat-autocomplete autoActiveFirstOption #auto="matAutocomplete">
+              <mat-option *ngFor="let option of filteredEntityFields | async" [value]="option">
+                {{option}}
+              </mat-option>
+            </mat-autocomplete>
+            <mat-error *ngIf="keyFilterFormGroup.get('key.key').hasError('required')">
+              {{ 'filter.key-name-required' | translate }}
+            </mat-error>
+          </mat-form-field>
         </section>
         <mat-form-field fxFlex="30" class="mat-block">
           <mat-label translate>filter.value-type.value-type</mat-label>
-          <mat-select matInput formControlName="valueType">
+          <mat-select formControlName="valueType">
             <mat-select-trigger>
               <mat-icon class="tb-mat-18" svgIcon="{{ entityKeyValueTypes.get(keyFilterFormGroup.get('valueType').value)?.icon }}"></mat-icon>
               <span>{{ entityKeyValueTypes.get(keyFilterFormGroup.get('valueType').value)?.name | translate }}</span>

@@ -27,10 +27,14 @@ import {
   entityKeyTypeTranslationMap,
   EntityKeyValueType,
   entityKeyValueTypesMap,
-  KeyFilterInfo, KeyFilterPredicate
+  KeyFilterInfo,
+  KeyFilterPredicate
 } from '@shared/models/query/query.models';
 import { DialogService } from '@core/services/dialog.service';
 import { TranslateService } from '@ngx-translate/core';
+import { EntityField, entityFields } from '@shared/models/entity.models';
+import { Observable } from 'rxjs';
+import { filter, map, startWith } from 'rxjs/operators';
 
 export interface KeyFilterDialogData {
   keyFilter: KeyFilterInfo;
@@ -61,6 +65,14 @@ export class KeyFilterDialogComponent extends
 
   submitted = false;
 
+  entityFields: { [fieldName: string]: EntityField };
+
+  entityFieldsList: string[];
+
+  readonly entityField = EntityKeyType.ENTITY_FIELD;
+
+  filteredEntityFields: Observable<string[]>;
+
   constructor(protected store: Store<AppState>,
               protected router: Router,
               @Inject(MAT_DIALOG_DATA) public data: KeyFilterDialogData,
@@ -99,9 +111,28 @@ export class KeyFilterDialogComponent extends
         );
       }
     });
+
+    this.keyFilterFormGroup.get('key.key').valueChanges.pipe(
+      filter((keyName) => this.keyFilterFormGroup.get('key.type').value === this.entityField && this.entityFields.hasOwnProperty(keyName))
+    ).subscribe((keyName: string) => {
+      const prevValueType: EntityKeyValueType = this.keyFilterFormGroup.value.valueType;
+      const newValueType = this.entityFields[keyName]?.time ? EntityKeyValueType.DATE_TIME : EntityKeyValueType.STRING;
+      if (prevValueType !== newValueType) {
+        this.keyFilterFormGroup.get('valueType').patchValue(newValueType, {emitEvent: false});
+      }
+    });
+
+    this.entityFields = entityFields;
+    this.entityFieldsList = Object.values(entityFields).map(entityField => entityField.keyName).sort();
   }
 
   ngOnInit(): void {
+    this.filteredEntityFields = this.keyFilterFormGroup.get('key.key').valueChanges.pipe(
+      startWith(''),
+      map(value => {
+        return this.entityFieldsList.filter(option => option.startsWith(value));
+      })
+    );
   }
 
   isErrorState(control: FormControl | null, form: FormGroupDirective | NgForm | null): boolean {

@@ -118,16 +118,18 @@
             </mat-form-field>
             <mat-form-field class="mat-block">
               <mat-label translate>admin.proxy-password</mat-label>
-              <input matInput formControlName="proxyPassword">
+              <input matInput type="password" formControlName="proxyPassword" autocomplete="new-proxy-password">
             </mat-form-field>
           </div>
           <mat-form-field class="mat-block">
             <mat-label translate>common.username</mat-label>
-            <input matInput formControlName="username" placeholder="{{ 'common.enter-username' | translate }}"/>
+            <input matInput formControlName="username" placeholder="{{ 'common.enter-username' | translate }}"
+                   autocomplete="new-username"/>
           </mat-form-field>
           <mat-form-field class="mat-block">
             <mat-label translate>common.password</mat-label>
-            <input matInput formControlName="password" type="password" placeholder="{{ 'common.enter-password' | translate }}"/>
+            <input matInput formControlName="password" type="password"
+                   placeholder="{{ 'common.enter-password' | translate }}" autocomplete="new-password"/>
           </mat-form-field>
           <div fxLayout="row" fxLayoutAlign="end center" fxLayout.xs="column" fxLayoutAlign.xs="end" fxLayoutGap="16px">
             <button mat-raised-button type="button"

@@ -92,7 +92,7 @@ export class MailServerComponent extends PageComponent implements OnInit, HasCon
   }
 
   enableProxyChanged(): void {
-    let enableProxy: boolean = this.mailSettings.get('enableProxy').value;
+    const enableProxy: boolean = this.mailSettings.get('enableProxy').value;
     if (enableProxy) {
       this.mailSettings.get('proxyHost').enable();
       this.mailSettings.get('proxyPort').enable();

@@ -203,7 +203,7 @@ export enum StringOperation {
   STARTS_WITH = 'STARTS_WITH',
   ENDS_WITH = 'ENDS_WITH',
   CONTAINS = 'CONTAINS',
-  NOT_CONTAIN = 'NOT_CONTAIN'
+  NOT_CONTAINS = 'NOT_CONTAINS'
 }
 
 export const stringOperationTranslationMap = new Map<StringOperation, string>(
@@ -213,7 +213,7 @@ export const stringOperationTranslationMap = new Map<StringOperation, string>(
     [StringOperation.STARTS_WITH, 'filter.operation.starts-with'],
     [StringOperation.ENDS_WITH, 'filter.operation.ends-with'],
     [StringOperation.CONTAINS, 'filter.operation.contains'],
-    [StringOperation.NOT_CONTAIN, 'filter.operation.not-contain']
+    [StringOperation.NOT_CONTAINS, 'filter.operation.not-contains']
   ]
 );
 

@@ -1189,7 +1189,7 @@
            "starts-with": "starts with",
            "ends-with": "ends with",
            "contains": "contains",
-           "not-contain": "not contain",
+           "not-contains": "not contains",
            "greater": "greater than",
            "less": "less than",
            "greater-or-equal": "greater or equal",