Commit 13d3da04 by Spencer Alger

created timeSeries service with a ZeroFilled class to manage the rows for the histogram

parent 3b9bc6bc
......@@ -868,5 +868,79 @@ angular.module('kibana.services', [])
return false;
});
};
})
.service('timeSeries', function () {
/**
* Certain graphs require 0 entries to be specified for them to render
* properly (like the line graph). So with this we will caluclate all of
* the expected time measurements, and fill the missing ones in with 0
* @param date start The start time for the result set
* @param date end The end time for the result set
* @param integer interval The length between measurements, in es interval
* notation (1m, 30s, 1h, 15d)
*/
var undef;
function dateToSecondsWithBlankMs(date) {
// return the date as millis since epoch, with 0 millis
return Math.floor(date.getTime() / 1000)*1000;
}
function base10Int(val) {
return parseInt(val, 10);
}
this.ZeroFilled = function (interval, start, end) {
// the expected differenece between readings.
this.interval_ms = parseInt(kbn.interval_to_seconds(interval), 10) * 1000;
// will keep all values here, keyed by their time
this._data = {};
if (start) {
this.addValue(start, null);
}
if (end) {
this.addValue(end, null);
}
}
/**
* Add a row
* @param int time The time for the value, in
* @param any value The value at this time
*/
this.ZeroFilled.prototype.addValue = function (time, value) {
if (time instanceof Date) {
time = dateToSecondsWithBlankMs(time);
} else {
time = parseInt(time, 10);
}
if (!isNaN(time)) {
this._data[time] = (value === undef ? 0 : value);
}
};
/**
* return the rows in the format:
* [ [time, value], [time, value], ... ]
* @return array
*/
this.ZeroFilled.prototype.getFlotPairs = function () {
// var startTime = performance.now();
var times = _.map(_.keys(this._data), base10Int).sort()
, result = []
, i
, next
, expected_next;
for(i = 0; i < times.length; i++) {
result.push([ times[i], this._data[times[i]] ]);
next = times[i + 1];
expected_next = times[i] + this.interval_ms;
for(; times.length > i && next > expected_next; expected_next+= this.interval_ms) {
/**
* since we don't know how the server will round subsequent segments
* we have to recheck for blanks each time.
*/
// this._data[expected_next] = 0;
result.push([expected_next, 0]);
}
}
// console.log(Math.round((performance.now() - startTime)*100)/100, 'ms to get', result.length, 'pairs');
return result;
};
});
\ No newline at end of file
......@@ -34,7 +34,7 @@
'use strict';
angular.module('kibana.histogram', [])
.controller('histogram', function($scope, querySrv, dashboard, filterSrv) {
.controller('histogram', function($scope, querySrv, dashboard, filterSrv, timeSeries) {
$scope.panelMeta = {
editorTabs : [
......@@ -85,7 +85,39 @@ angular.module('kibana.histogram', [])
};
$scope.get_data = function(segment,query_id) {
/**
* The time range effecting the panel
* @return {[type]} [description]
*/
$scope.get_time_range = function () {
var range = $scope.range = filterSrv.timeRange('min');
return range;
}
$scope.get_interval = function () {
var interval = $scope.panel.interval
, range;
if ($scope.panel.auto_int) {
range = $scope.get_time_range()
if (range) {
interval = kbn.secondsToHms(
kbn.calculate_interval(range.from, range.to, $scope.panel.resolution, 0) / 1000
);
}
}
$scope.panel.interval = interval || '10m';
return $scope.panel.interval
}
/**
* Fetch the data for a chunk of a queries results. Multiple segments occur when several indicies
* need to be consulted (like timestamped logstash indicies)
* @param number segment The segment count, (0 based)
* @param number query_id The id of the query, generated on the first run and passed back when
* this call is made recursively for more segments
*/
$scope.get_data = function(segment, query_id) {
if (_.isUndefined(segment)) {
segment = 0
}
delete $scope.panel.error;
// Make sure we have everything for the request to complete
......@@ -94,7 +126,8 @@ angular.module('kibana.histogram', [])
}
var _range = $scope.range = filterSrv.timeRange('min');
var _range = $scope.get_time_range()
var _interval = $scope.get_interval(_range);
if ($scope.panel.auto_int) {
$scope.panel.interval = kbn.secondsToHms(
......@@ -102,8 +135,7 @@ angular.module('kibana.histogram', [])
}
$scope.panelMeta.loading = true;
var _segment = _.isUndefined(segment) ? 0 : segment;
var request = $scope.ejs.Request().indices(dashboard.indices[_segment]);
var request = $scope.ejs.Request().indices(dashboard.indices[segment]);
$scope.panel.queries.ids = querySrv.idsByMode($scope.panel.queries);
// Build the query
......@@ -124,7 +156,7 @@ angular.module('kibana.histogram', [])
}
facet = facet.keyField($scope.panel.time_field).valueField($scope.panel.value_field);
}
facet = facet.interval($scope.panel.interval).facetFilter($scope.ejs.QueryFilter(query));
facet = facet.interval(_interval).facetFilter($scope.ejs.QueryFilter(query));
request = request.facet(facet).size(0);
});
......@@ -137,7 +169,7 @@ angular.module('kibana.histogram', [])
// Populate scope when we have results
results.then(function(results) {
$scope.panelMeta.loading = false;
if(_segment === 0) {
if(segment === 0) {
$scope.hits = 0;
$scope.data = [];
query_id = $scope.query_id = new Date().getTime();
......@@ -153,49 +185,42 @@ angular.module('kibana.histogram', [])
var facetIds = _.map(_.keys(results.facets),function(k){return parseInt(k, 10);});
// Make sure we're still on the same query/queries
if($scope.query_id === query_id &&
_.intersection(facetIds,$scope.panel.queries.ids).length === $scope.panel.queries.ids.length
) {
if($scope.query_id === query_id && _.difference(facetIds, $scope.panel.queries.ids).length === 0) {
var i = 0;
var data, hits;
var i = 0
, time_series
, hits;
_.each($scope.panel.queries.ids, function(id) {
var v = results.facets[id];
// Null values at each end of the time range ensure we see entire range
if(_.isUndefined($scope.data[i]) || _segment === 0) {
data = [];
if(filterSrv.idsByType('time').length > 0) {
data = [[_range.from.getTime(), null],[_range.to.getTime(), null]];
//data = [];
}
var query_results = results.facets[id];
// we need to initialize the data variable on the first run,
// and when we are working on the first segment of the data.
if(_.isUndefined($scope.data[i]) || segment === 0) {
time_series = new timeSeries.ZeroFilled(
_interval,
// range may be false
_range && _range.from,
_range && _range.to
);
hits = 0;
} else {
data = $scope.data[i].data;
time_series = $scope.data[i].time_series;
hits = $scope.data[i].hits;
}
// Assemble segments
var segment_data = [];
_.each(v.entries, function(v, k) {
segment_data.push([v.time,v[$scope.panel.mode]]);
hits += v.count; // The series level hits counter
$scope.hits += v.count; // Entire dataset level hits counter
// push each entry into the time series, while incrementing counters
_.each(query_results.entries, function(entry) {
time_series.addValue(entry.time, entry[$scope.panel.mode]);
hits += entry.count; // The series level hits counter
$scope.hits += entry.count; // Entire dataset level hits counter
});
data.splice.apply(data,[1,0].concat(segment_data)); // Join histogram data
// Create the flot series object
var series = {
data: {
$scope.data[i] = {
time_series: time_series,
info: querySrv.list[id],
data: data,
data: time_series.getFlotPairs(),
hits: hits
},
};
$scope.data[i] = series.data;
i++;
});
......@@ -203,10 +228,9 @@ angular.module('kibana.histogram', [])
$scope.$emit('render');
// If we still have segments left, get them
if(_segment < dashboard.indices.length-1) {
$scope.get_data(_segment+1,query_id);
if(segment < dashboard.indices.length-1) {
$scope.get_data(segment+1,query_id);
}
}
});
};
......@@ -372,8 +396,9 @@ angular.module('kibana.histogram', [])
function tt(x, y, contents) {
// If the tool tip already exists, don't recreate it, just update it
var tooltip = $('#pie-tooltip').length ?
$('#pie-tooltip') : $('<div id="pie-tooltip"></div>');
var tooltip = $('#pie-tooltip').length
? $('#pie-tooltip')
: $('<div id="pie-tooltip"></div>');
tooltip.html(contents).css({
position: 'absolute',
......
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