Add Kibana visualizations examples for NDR result

[nfvbench.git] / kibana / visualizations / ndr_capacity_pps_theoretical_line_chart.json

diff --git a/kibana/visualizations/ndr_capacity_pps_theoretical_line_chart.json b/kibana/visualizations/ndr_capacity_pps_theoretical_line_chart.json
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+++ b/kibana/visualizations/ndr_capacity_pps_theoretical_line_chart.json
@@ -0,0 +1,115 @@
+{
+  $schema: https: //vega.github.io/schema/vega-lite/v2.json
+  title: "Capacity in Mpps - 0,001% loss ratio"
+  data: {
+    url: {
+      %context%: true
+      %timefield%: "@timestamp"
+      index: resu*
+      body: {
+        _source: ["@timestamp", "_source", "theoretical_tx_rate_pps", "rate_pps", "flow_count", "frame_size", "user_label", "type"]
+      },
+      size: 10000
+    },
+    format: { property: "hits.hits" }
+  },
+
+  transform: [
+        { calculate: "datum._source['rate_pps'] / 1000000" as: "offered_load_pps"},
+        { calculate: "datum._source['theoretical_tx_rate_pps'] / 1000000" as: "theoretical_tx_rate_pps"},
+        { calculate: "datum._source['flow_count']" as: "flow_count"},
+        { calculate: "isNaN(toNumber(datum._source['frame_size'])) ? 362 : toNumber(datum._source['frame_size'])" as: "frame_size"},
+        { calculate: "datum._source['user_label'] + '-' + datum._source['flow_count']" as: "label"}
+        { aggregate: [{op: "max", field: "offered_load_pps", as: "max_offered_load_pps"}, {op: "max", field: "theoretical_tx_rate_pps", as: "theoretical_tx_rate_pps"}], groupby: ["frame_size", "label","flow_count"]}
+    
+    ],
+  center: true,
+  hconcat: [
+  {
+      width:10,
+      selection: {
+        legendSel: {
+          type: "multi",
+          encodings: [ "color", "shape" ],
+          toggle: "event.shiftKey"
+        }
+      },
+      encoding: {
+        y: {
+          field: "label",
+          type: "nominal",
+          axis: {
+            title: "",
+            domain: false,
+            ticks: false,
+            offset: 10
+          },
+        },
+        color: {
+          condition: {
+            selection: "legendSel",
+            field: "label",
+            type: "nominal",
+            legend: null
+          },
+          value: "lightgrey"
+        }
+      },
+      mark: {
+        type: "square",
+        size: 120,
+        opacity: 1
+      }
+    },
+    {
+    layer: [{
+    mark: {
+      type: "line",
+      tooltip: true,
+      point: true
+    },
+    encoding: {
+      x: { field: "frame_size", type: "quantitative", title: "Frame size (bytes)", axis: {offset: 10} }
+      y: { field: "theoretical_tx_rate_pps", type: "quantitative", title: "Offered load (Mpps)" , axis: {offset: 10}  }
+      strokeDash: {"field": "theoretical_tx_rate_pps", "type": "nominal"}
+      tooltip: [{"field": "theoretical_tx_rate_pps", "type": "quantitative", title: "theoretical max capacity"}],
+      color: { "value": "red"}
+    }
+    },{
+      width:500,
+      height:280,
+        transform: [
+          {filter: { selection: "legendSel"}}
+      
+      ],mark: {
+      type: "line",
+      tooltip: true,
+      point: true
+    },
+    selection: {
+        grid: {
+          type: "interval",
+          resolve: "global",
+          bind: "scales",
+          translate: "[mousedown[!event.shiftKey], window:mouseup] > window:mousemove!",
+          zoom: "wheel![!event.shiftKey]"
+        },
+        pts: {
+          type: "single",
+          fields: ["Label"]
+        }
+        },
+    encoding: {
+      x: { field: "frame_size", type: "quantitative", title: "Frame size (bytes)", axis: {offset: 10} }
+      y: { field: "max_offered_load_pps", type: "quantitative", title: "Offered load (Mpps)" , axis: {offset: 10}  }
+      color: {field: "label", "type": "nominal",
+             "legend": null}
+      tooltip: {"field": "max_offered_load_pps", "type": "quantitative"},
+     shape: {field: "flow_count", type: "nominal"}
+      }
+    }
+    ]
+  }
+    
+  ]
+}
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