Merge branch 'feature-aggregation' into develop

zabbix/datasource.js

@@ -171,15 +171,32 @@ function (angular, _, kbn) {
                 items = _.flatten(items);
 
                 // Use alias only for single metric, otherwise use item names
-                var alias = target.item.name === 'All' || itemnames.length > 1 ? undefined : templateSrv.replace(target.alias, options.scopedVars);
+                var alias = target.item.name === 'All' || itemnames.length > 1 ?
+                              undefined : templateSrv.replace(target.alias, options.scopedVars);
 
+                var history;
                 if ((from < useTrendsFrom) && self.trends) {
-                  return self.zabbixAPI.getTrends(items, from, to)
-                    .then(_.bind(zabbixHelperSrv.handleTrendResponse, zabbixHelperSrv, items, alias, target.scale));
+                  var points = target.downsampleFunction ? target.downsampleFunction.value : "avg";
+                  history = self.zabbixAPI.getTrends(items, from, to)
+                    .then(_.bind(zabbixHelperSrv.handleTrendResponse, zabbixHelperSrv, items, alias, target.scale, points));
                 } else {
-                  return self.zabbixAPI.getHistory(items, from, to)
+                  history = self.zabbixAPI.getHistory(items, from, to)
                     .then(_.bind(zabbixHelperSrv.handleHistoryResponse, zabbixHelperSrv, items, alias, target.scale));
                 }
+
+                return history.then(function (timeseries) {
+                    var timeseries_data = _.flatten(timeseries);
+                    return _.map(timeseries_data, function (timeseries) {
+
+                      // Series downsampling
+                      if (timeseries.datapoints.length > options.maxDataPoints) {
+                        var ms_interval = Math.floor((to - from) / options.maxDataPoints) * 1000;
+                        var downsampleFunc = target.downsampleFunction ? target.downsampleFunction.value : "avg";
+                        timeseries.datapoints = zabbixHelperSrv.downsampleSeries(timeseries.datapoints, to, ms_interval, downsampleFunc);
+                      }
+                      return timeseries;
+                    });
+                  });
               }
             });
         } else {
@@ -195,16 +212,7 @@ function (angular, _, kbn) {
 
       return $q.all(_.flatten(promises)).then(function (results) {
         var timeseries_data = _.flatten(results);
-        var data = _.map(timeseries_data, function (timeseries) {
-
-          // Series downsampling
-          if (timeseries.datapoints.length > options.maxDataPoints) {
-            var ms_interval = Math.floor((to - from) / options.maxDataPoints) * 1000;
-            timeseries.datapoints = zabbixHelperSrv.downsampleSeries(timeseries.datapoints, to, ms_interval);
-          }
-          return timeseries;
-        });
-        return { data: data };
+        return { data: timeseries_data };
       });
     };
 

zabbix/helperFunctions.js

@@ -72,6 +72,7 @@ function (angular, _) {
      * @param  {Array} items      Array of Zabbix Items
      * @param alias
      * @param scale
+     * @param  {string} points    Point value to return: min, max or avg
      * @param  {Array} trends     Array of Zabbix Trends
      *
      * @return {Array}            Array of timeseries in Grafana format
@@ -80,7 +81,7 @@ function (angular, _) {
      *                               datapoints: [[<value>, <unixtime>], ...]
      *                            }
      */
-    this.handleTrendResponse = function (items, alias, scale, trends) {
+    this.handleTrendResponse = function (items, alias, scale, points, trends) {
 
       // Group items and trends by itemid
       var indexed_items = _.indexBy(items, 'itemid');
@@ -95,7 +96,16 @@ function (angular, _) {
           datapoints: _.map(trends, function (p) {
 
             // Value must be a number for properly work
-            var value = Number(p.value_avg);
+            var value;
+            if (points === "min") {
+              value = Number(p.value_min);
+            }
+            else if (points === "max") {
+              value = Number(p.value_max);
+            }
+            else {
+              value = Number(p.value_avg);
+            }
 
             // Apply scale
             if (scale) {
@@ -216,12 +226,13 @@ function (angular, _) {
     /**
      * Downsample datapoints series
      *
-     * @param   {array}     datapoints        [[<value>, <unixtime>], ...]
+     * @param   {Object[]}     datapoints        [[<value>, <unixtime>], ...]
      * @param   {integer}   time_to           Panel time to
      * @param   {integer}   ms_interval       Interval in milliseconds for grouping datapoints
-     * @return  {array}     [[<value>, <unixtime>], ...]
+     * @param   {string}    func              Value to return: min, max or avg
+     * @return  {Object[]}     [[<value>, <unixtime>], ...]
      */
-    this.downsampleSeries = function(datapoints, time_to, ms_interval) {
+    this.downsampleSeries = function(datapoints, time_to, ms_interval, func) {
       var downsampledSeries = [];
       var timeWindow = {
         from: time_to * 1000 - ms_interval,
@@ -231,14 +242,28 @@ function (angular, _) {
       var points_sum = 0;
       var points_num = 0;
       var value_avg = 0;
+      var frame = [];
+
       for (var i = datapoints.length - 1; i >= 0; i -= 1) {
         if (timeWindow.from < datapoints[i][1] && datapoints[i][1] <= timeWindow.to) {
           points_sum += datapoints[i][0];
           points_num++;
+          frame.push(datapoints[i][0]);
         }
         else {
           value_avg = points_num ? points_sum / points_num : 0;
+
+          if (func === "max") {
+            downsampledSeries.push([_.max(frame), timeWindow.to]);
+          }
+          else if (func === "min") {
+            downsampledSeries.push([_.min(frame), timeWindow.to]);
+          }
+
+          // avg by default
+          else {
             downsampledSeries.push([value_avg, timeWindow.to]);
+          }
 
           // Shift time window
           timeWindow.to = timeWindow.from;
@@ -246,6 +271,7 @@ function (angular, _) {
 
           points_sum = 0;
           points_num = 0;
+          frame = [];
 
           // Process point again
           i++;

zabbix/partials/query.editor.html

@@ -131,6 +131,21 @@
                  placeholder="Host filter (regex)"
                  ng-blur="targetBlur()">
         </li>
+        <!-- Downsampling function -->
+        <li class="tight-form-item input-medium">Downsampling</li>
+        <li>
+          <select class="tight-form-input input-small"
+                  ng-change="targetBlur()"
+                  ng-model="target.downsampleFunction"
+                  bs-tooltip="'Downsampling function'"
+                  ng-options="func.name for func in downsampleFunctionList track by func.name">
+          </select>
+          <a bs-tooltip="target.errors.metric"
+             style="color: rgb(229, 189, 28)"
+             ng-show="target.errors.metric">
+            <i class="icon-warning-sign"></i>
+          </a>
+        </li>
       </ul>
 
       <div class="clearfix"></div>

zabbix/queryCtrl.js

@@ -24,6 +24,16 @@ define([
           $scope.itserviceList = [{name: "test"}];
           $scope.updateITServiceList();
         } else {
+          $scope.downsampleFunctionList = [
+            {name: "avg", value: "avg"},
+            {name: "min", value: "min"},
+            {name: "max", value: "max"}
+          ];
+
+          // Set avg by default
+          if (!$scope.target.downsampleFunction) {
+            $scope.target.downsampleFunction = $scope.downsampleFunctionList[0];
+          }
           $scope.metric = {
             hostGroupList: [],
             hostList: [{name: '*', visible_name: 'All'}],