<script type="text/javascript" src="//www.google.com/jsapi"></script>
- <link rel="stylesheet" href="/static/hpc_historical.css">
+ <link rel="stylesheet" href="http://netdna.bootstrapcdn.com/bootstrap/3.0.2/css/bootstrap.min.css">
<script type="text/javascript">
google.load('visualization', '1', {'packages' : ['controls','table','corechart','geochart']});
</script>
-
+
<script type="text/javascript">
+var queryString = encodeURIComponent("SELECT MINUTE(time) as Time, city, s8 as Node, REGEXP_REPLACE(s8,r'node[0-9]+\.(.*)\.vicci\.org',r'\\1') as Site, AVG(i0) as Cpu, AVG(i1) as Requests FROM [vicci.demoevents] WHERE i0 is not null AND s8 contains 'vicci.org' and not city IN ('princeton','Unknown') and city is not null GROUP BY Time,city,Site,Node ORDER BY Time;");
+ var serverPart = "http://cloud-scrutiny.appspot.com/command?action=send_query&force=ColumnChart&q="
+ var dataSourceUrl = serverPart + queryString;
+ var query;
+
+ var options = {
+ width: 600,
+ height: 400,
+ showRowNumber: false,
+ pages:true,
+ numRows:9,
+ backgroundColor: "black"
+ };
+
+google.setOnLoadCallback(function() { sendAndDraw(dataSourceUrl); });
+
+function showNodeAgg(dt) {
+ var tab = new google.visualization.ChartWrapper({
+ 'chartType': 'Table',
+ 'containerId': 'chart3',
+ 'options': {
+ 'width': 300,
+ 'height': 300,
+ 'title': 'Network-wide usage',
+ 'page': 'enable',
+ 'pageSize': 10
+ },
+ 'view': {'columns': [0, 1, 2]}
+ });
+
+ tab.setDataTable(dt);
+ tab.draw();
+}
+
+function showSiteTimeAgg(dt) {
+ var lineChart = new google.visualization.ChartWrapper({
+ 'chartType': 'LineChart',
+ 'containerId': 'chart4',
+ 'options': {
+ 'width': 300,
+ 'height': 300,
+ 'title': 'Network-wide usage',
+ 'pages': true,
+ 'numRows': 9
+ },
+ 'view': {'columns': [0, 1, 2]}
+ });
+ lineChart.setDataTable(dt);
+ lineChart.draw();
+ /*
+ var scatterChart = new google.visualization.ChartWrapper({
+ 'chartType': 'ScatterChart',
+ 'containerId': 'chart5',
+ 'options': {
+ 'width': 300,
+ 'height': 300,
+ },
+ // from the 'data' DataTable.
+ 'view': {'columns': [1, 2]}
+ });
+ scatterChart.setDataTable(dt);
+ scatterChart.draw();*/
+}
+function showSiteAgg(dt) {
+ var barChart = new google.visualization.ChartWrapper({
+ 'chartType': 'ColumnChart',
+ 'containerId': 'chart1',
+ 'options': {
+ 'width': 300,
+ 'height': 300,
+ 'title': 'Site-wise usage',
+ 'pages': true,
+ 'numRows': 9
+ },
+ // Instruct the piechart to use colums 0 (Name) and 3 (Donuts Eaten)
+ // from the 'data' DataTable.
+ 'view': {'columns': [1, 2, 3]}
+ });
+ barChart.setDataTable(dt);
+ barChart.draw();
+ var geoChart = new google.visualization.ChartWrapper({
+ 'chartType': 'GeoChart',
+ 'containerId': 'chart2',
+ 'options': {
+ 'width': 300,
+ 'height': 300,
+ 'displayMode': 'markers',
+ 'region':'021',
+ 'title': 'Usage map',
+ colorAxis: {colors: ['green', 'purple', 'red']}
+ },
+ // Instruct the piechart to use colums 0 (Name) and 3 (Donuts Eaten)
+ // from the 'data' DataTable.
+ 'view': {'columns': [0, 2,3]}
+ });
+ geoChart.setDataTable(dt);
+ geoChart.draw();
+
+ var histogram = new google.visualization.ChartWrapper({
+ 'chartType': 'Histogram',
+ 'containerId': 'chart6',
+ 'options': {
+ 'width': 300,
+ 'height': 300,
+ },
+ 'title': 'Sites by load',
+ // Instruct the piechart to use colums 0 (Name) and 3 (Donuts Eaten)
+ // from the 'data' DataTable.
+ 'view': {'columns': [1, 2]}
+ });
+ histogram.setDataTable(dt);
+ histogram.draw();
+
+}
+
+function handleResponse(response) {
+var supportedClasses = {
+ 'Table':google.visualization.Table,
+ 'LineChart':google.visualization.LineChart,
+ 'ScatterChart':google.visualization.ScatterChart,
+ 'ColumnChart':google.visualization.ColumnChart,
+ 'GeoChart':google.visualization.GeoChart,
+ 'PieChart':google.visualization.PieChart,
+ 'Histogram':google.visualization.Histogram
+ };
+
+ /*var slider2 = new google.visualization.ControlWrapper({
+ 'controlType': 'NumberRangeFilter',
+ 'containerId': 'control3',
+ 'options': {
+ 'filterColumnLabel': 'Cpu',
+ minValue: 0,
+ maxValue: 100,
+ ui: { ticks: 10}
+ }
+ });*/
+
+ var timeSlider = new google.visualization.ControlWrapper({
+ 'controlType': 'NumberRangeFilter',
+ 'containerId': 'control1',
+ 'options': {
+ 'filterColumnLabel': 'Time',
+ ui: { ticks: 10}
+ }
+ });
+
+ // Define a bar chart
+ var barChart = new google.visualization.ChartWrapper({
+ 'chartType': 'BarChart',
+ 'containerId': 'chart1',
+ 'options': {
+ 'width': 400,
+ 'height': 300,
+ 'hAxis': {'minValue': 0, 'maxValue': 60},
+ 'chartArea': {top: 0, right: 0, bottom: 0}
+ }
+ });
+
+ var categoryPicker = new google.visualization.ControlWrapper({
+ 'controlType': 'CategoryFilter',
+ 'allowMultiple': true,
+ 'containerId': 'control2',
+ 'options': {
+ 'filterColumnLabel': 'Site',
+ 'ui': {
+ 'labelStacking': 'vertical',
+ 'allowTyping': false
+ }
+ }
+ });
+ //var container = document.getElementById('datatable');
+ //var table = new google.visualization.LineChart(container);
+ //var table = new google.visualization.ColumnChart(container);
+
+ var proxy = new google.visualization.ChartWrapper({
+ 'chartType': 'Table',
+ 'containerId': 'chart7',
+ 'options': {
+ 'width': 800,
+ 'height': 300,
+ pageSize:5,
+ page:'enable',
+ 'legend': 'none',
+ 'title': 'Nodes'
+ },
+ // Instruct the piechart to use colums 0 (Name) and 3 (Donuts Eaten)
+ // from the 'data' DataTable.
+ 'view': {'columns': [0,1,2,3,4,5]}
+ });
+
+ function core_sum(arr) {
+ var ret = 0;
+ for (var i = 0; i < arr.length; i++) {
+ ret+=arr[i]/1000;
+ }
+ return ret;
+ }
+
+ function scaled_sum(arr) {
+ var ret = 0;
+ for (var i = 0; i < arr.length; i++) {
+ ret+=arr[i]/1000;
+ }
+ return ret;
+ }
+
+ function count_uniq(arr) {
+ var counts = {};
+ var ret = 0;
+ console.log('Starting ret '+ret);
+ for (var i = 0; i < arr.length; i++) {
+ if (!counts[arr[i]]) ret+=1;
+ counts[arr[i]] = 1;
+ }
+ return ret;
+ }
+ google.visualization.events.addListener(proxy, 'ready', function () {
+ // 0 - time 1 - city 2 - node 3 - site 4 - cpu 5 - bytes
+ var dt = proxy.getDataTable();
+ var groupedData1 = google.visualization.data.group(dt, [0], [{
+ column: 4,
+ type: 'number',
+ label: dt.getColumnLabel(4),
+ aggregation: google.visualization.data.sum
+ },{
+ column: 5,
+ type: 'number',
+ label: dt.getColumnLabel(5),
+ aggregation: google.visualization.data.sum
+ }]);
+
+ showSiteTimeAgg(groupedData1);
+ });
+
+ /*google.visualization.events.addListener(proxy, 'ready', function () {
+ // 0 - time 1 - city 2 - node 3 - site 4 - cpu 5 - bytes
+ var dt = proxy.getDataTable();
+ var groupedData0 = google.visualization.data.group(dt, [2], [{
+ column: 4,
+ type: 'number',
+ label: dt.getColumnLabel(4),
+ aggregation: google.visualization.data.sum
+ },{
+ column: 5,
+ type: 'number',
+ label: dt.getColumnLabel(5),
+ aggregation: google.visualization.data.sum
+ }]);
+ // after grouping, the data will be sorted by column 0, then 1, then 2
+ // if you want a different order, you have to re-sort
+ showNodeAgg(groupedData0);
+ });*/
+
+ google.visualization.events.addListener(proxy, 'ready', function () {
+ // 0 - time 1 - city 2 - node 3 - site 4 - cpu 5 - bytes
+ var dt = proxy.getDataTable();
+ var groupedData0 = google.visualization.data.group(dt, [1,3], [{
+ column: 4,
+ type: 'number',
+ label: 'Cores',
+ aggregation: core_sum
+ },{
+ column: 5,
+ type: 'number',
+ label: dt.getColumnLabel(5),
+ aggregation: scaled_sum
+ }]);
+ // after grouping, the data will be sorted by column 0, then 1, then 2
+ // if you want a different order, you have to re-sort
+ showSiteAgg(groupedData0);
+ });
+
+ data = response.getDataTable();
+ new google.visualization.Dashboard(document.getElementById('dashboard')).
+ // Establish bindings, declaring the both the slider and the category
+ // picker will drive both charts.
+ bind([categoryPicker,timeSlider], [proxy]).
+ // Draw the entire dashboard.
+ draw(data);
- var options = {
-\r width: 600,\r
- height: 400,\r
- showRowNumber: false,\r
- pages: true,\r
- numRows: 9,\r
- backgroundColor: "black"\r
- };\r
-\r
- // ask django for a data source URL to use for the graphs\r
-\r
- function updateDataSourceUrl() {\r
- var sliceName = $("#historical_slicename :selected").text();\r
- var queryString = "/analytics/bigquery/?sum=@bytes_sent&avg=@cpu&groupBy=Time,city,@hostname,@site&slice=" + sliceName;\r
-\r
- $.ajax({\r
- url: queryString,\r
- dataType: 'json',\r
- type: 'GET',\r
- success: function (newData) {\r
- sendAndDraw(newData["dataSourceUrl"])\r
- }\r
- });\r
- }\r
-\r
- TIME_COL = 0;\r
- BANDWIDTH_COL = 2;\r
- CPU_COL = 1;\r
- CITY_COL = 3;\r
- NODE_COL = 4;\r
- SITE_COL = 5;\r
-\r
- google.setOnLoadCallback(function () {\r
- $('#historical_slicename').change(function()\r
- {\r
- updateDataSourceUrl();\r
- });\r
-\r
- updateDataSourceUrl();\r
- });\r
-\r
- function showSiteTimeAgg(dt) {\r
- var lineChart = new google.visualization.ChartWrapper({\r
- 'chartType': 'LineChart',\r
- 'containerId': 'chart4',\r
- 'options': {\r
- 'width': 300,\r
- 'height': 300,\r
- 'title': 'Network-wide usage',\r
- 'pages': true,\r
- 'numRows': 9\r
- },\r
- 'view': {\r
- 'columns': [0, 1, 2]\r
- }\r
- });\r
- lineChart.setDataTable(dt);\r
- lineChart.draw();\r
- }\r
-\r
- function showSiteAgg(dt) {\r
- var barChart = new google.visualization.ChartWrapper({\r
- 'chartType': 'ColumnChart',\r
- 'containerId': 'chart1',\r
- 'options': {\r
- 'width': 300,\r
- 'height': 300,\r
- 'title': 'Site-wise usage',\r
- 'pages': true,\r
- 'numRows': 9\r
- },\r
- 'view': {\r
- 'columns': [1, 2, 3]\r
- }\r
- });\r
- barChart.setDataTable(dt);\r
- barChart.draw();\r
- var geoChart = new google.visualization.ChartWrapper({\r
- 'chartType': 'GeoChart',\r
- 'containerId': 'chart2',\r
- 'options': {\r
- 'width': 300,\r
- 'height': 300,\r
- 'displayMode': 'markers',\r
- 'region': '021',\r
- 'title': 'Usage map',\r
- colorAxis: {\r
- colors: ['green', 'purple', 'red']\r
- }\r
- },\r
- 'view': {\r
- 'columns': [0, 2, 3]\r
- }\r
- });\r
- geoChart.setDataTable(dt);\r
- geoChart.draw();\r
-\r
- var histogram = new google.visualization.ChartWrapper({\r
- 'chartType': 'Histogram',\r
- 'containerId': 'chart6',\r
- 'options': {\r
- 'width': 300,\r
- 'height': 300,\r
- },\r
- 'title': 'Sites by load',\r
- 'view': {\r
- 'columns': [1, 2]\r
- }\r
- });\r
- histogram.setDataTable(dt);\r
- histogram.draw();\r
-\r
- }\r
-\r
- function handleResponse(response) {\r
- var timeSlider = new google.visualization.ControlWrapper({\r
- 'controlType': 'DateRangeFilter',\r
- 'containerId': 'control1',\r
- 'options': {\r
- 'filterColumnLabel': 'Time',\r
- ui: {\r
- ticks: 10,\r
- step: "minute"\r
- }\r
- }\r
- });\r
-\r
- // Define a bar chart\r
- var barChart = new google.visualization.ChartWrapper({\r
- 'chartType': 'BarChart',\r
- 'containerId': 'chart1',\r
- 'options': {\r
- 'width': 400,\r
- 'height': 300,\r
- 'hAxis': {\r
- 'minValue': 0,\r
- 'maxValue': 60\r
- },\r
- 'chartArea': {\r
- top: 0,\r
- right: 0,\r
- bottom: 0\r
- }\r
- }\r
- });\r
-\r
- var categoryPicker = new google.visualization.ControlWrapper({\r
- 'controlType': 'CategoryFilter',\r
- 'allowMultiple': true,\r
- 'containerId': 'control2',\r
- 'options': {\r
- 'filterColumnLabel': 'site',\r
- 'ui': {\r
- 'labelStacking': 'vertical',\r
- 'allowTyping': false\r
- }\r
- }\r
- });\r
-\r
- var proxy = new google.visualization.ChartWrapper({\r
- 'chartType': 'Table',\r
- 'containerId': 'chart7',\r
- 'options': {\r
- 'width': 800,\r
- 'height': 300,\r
- pageSize: 5,\r
- page: 'enable',\r
- 'legend': 'none',\r
- 'title': 'Nodes'\r
- },\r
- 'view': {\r
- 'columns': [0, 1, 2, 3, 4, 5]\r
- }\r
- });\r
-\r
- function avg_bandwidth(arr) {\r
- var ret = 0;
- for (var i = 0; i < arr.length; i++) {
- ret+=arr[i]*8.0/1024.0/1024.0/1024.0;
- }
- if (arr.length==0) {
- return 0;
- }
- return ret/arr.length;
- }\r
-\r
- function sum_bytes_sent_as_bw(arr) {\r
- var ret = 0;
- for (var i = 0; i < arr.length; i++) {
- ret+=arr[i]*8.0/1024.0/1024.0/1024.0;
- }
- return ret/60.0;
- }\r
-\r
- function sum_bytes_sent_as_GB(arr) {\r
- var ret = 0;
- for (var i = 0; i < arr.length; i++) {
- ret+=arr[i]/1024.0/1024.0/1024.0;
- }
- return ret;
- }\r
-\r
- function fixDate2(unixDate) {\r
- // not completely sure why we have to do this, as the data was in\r
- // javascript Date() objects to start with. If we don't do it,\r
- // then the horizontal axis will be blank.\r
- return new Date(unixDate);
- }\r
-\r
- var format0dp = new google.visualization.NumberFormat({fractionDigits:0});\r
- var format2dp = new google.visualization.NumberFormat({fractionDigits:2});\r
-\r
- // Create a group for charts that will have a horizontal axis that is\r
- // time.\r
-\r
- google.visualization.events.addListener(proxy, 'ready', function () {\r
- var dt = proxy.getDataTable();\r
- var groupedData1 = google.visualization.data.group(dt, [{\r
- column: TIME_COL,
- type: 'datetime',
- modifier: fixDate2,
- }], [{\r
- column: CPU_COL,\r
- type: 'number',\r
- label: "avg cpu",\r
- aggregation: google.visualization.data.avg\r
- }, {\r
- column: BANDWIDTH_COL,\r
- type: 'number',\r
- label: "Gbps",\r
- aggregation: sum_bytes_sent_as_bw\r
- }]);\r
-\r
- format0dp.format(groupedData1,1);\r
- format2dp.format(groupedData1,2);\r
-\r
- showSiteTimeAgg(groupedData1);\r
- });\r
-\r
- // Create a group for charts that will have a horizontal axis that is\r
- // city or site.\r
-\r
- google.visualization.events.addListener(proxy, 'ready', function () {\r
- var dt = proxy.getDataTable();\r
- var groupedData0 = google.visualization.data.group(dt, [CITY_COL, SITE_COL], [{\r
- column: CPU_COL,\r
- type: 'number',\r
- label: 'avg cpu',\r
- aggregation: google.visualization.data.avg\r
- }, {\r
- column: BANDWIDTH_COL,\r
- type: 'number',\r
- label: "GB sent",\r
- aggregation: sum_bytes_sent_as_GB\r
- }]);\r
-\r
- format0dp.format(groupedData0,2);\r
- format2dp.format(groupedData0,3);\r
-\r
- showSiteAgg(groupedData0);\r
- });\r
-\r
- data = response.getDataTable();\r
- new google.visualization.Dashboard(document.getElementById('dashboard')).\r
- // Establish bindings, declaring the both the slider and the category\r
- // picker will drive both charts.\r
- bind([categoryPicker, timeSlider], [proxy]).\r
- // Draw the entire dashboard.\r
- draw(data);\r
-\r
- }\r
-\r
- function sendAndDraw(queryString) {\r
- query = new google.visualization.Query(queryString)\r
- query && query.abort();\r
- query.send(function (response) {\r
- handleResponse(response);\r
- });\r
- }
+}
+function sendAndDraw(queryString) {
+ query = new google.visualization.Query(queryString)
+ query && query.abort();
+ query.send(function(response) {handleResponse(response);});
+}
+
</script>
<div id="dashboard" class="container">
- <div class="row">
- <span><b>Slice Name:</b></span>
- <span><select id="historical_slicename">
- {% for slice in userSliceInfo %}
- <option value="{{ slice.slicename }}">{{ slice.slicename }}</option>
- {% endfor %}
- </select></span>
- </div>
<div class="row">
<div class="col-md-8">
<div class="col-md-4" id="control2"></div>
git://git.onelab.eu / plstackapi.git / blobdiff