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synced 2025-02-25 18:55:37 -06:00
Fix bar width issue in aligned prometheus queries (#12483)
* Fix bar width issue in aligned prometheus queries This was broken because null values were filled in with unaligned times. * use aligned times for result transformation * add tests An earlier version of this fix aligned the times again in the transformer, but I think it's safe to only deal with aligned times in the response. * Fixed prometheus heatmap tranformer test The interval needs to be 1 to prevent step alignment.
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@@ -119,6 +119,20 @@ describe('TimeSeries', function() {
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series.getFlotPairs('null');
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expect(series.stats.avg).toBe(null);
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});
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it('calculates timeStep', function() {
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series = new TimeSeries({
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datapoints: [[null, 1], [null, 2], [null, 3]],
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});
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series.getFlotPairs('null');
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expect(series.stats.timeStep).toBe(1);
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series = new TimeSeries({
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datapoints: [[0, 1530529290], [0, 1530529305], [0, 1530529320]],
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});
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series.getFlotPairs('null');
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expect(series.stats.timeStep).toBe(15);
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});
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});
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describe('When checking if ms resolution is needed', function() {
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@@ -162,8 +162,8 @@ export class PrometheusDatasource {
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format: activeTargets[index].format,
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step: queries[index].step,
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legendFormat: activeTargets[index].legendFormat,
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start: start,
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end: end,
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start: queries[index].start,
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end: queries[index].end,
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query: queries[index].expr,
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responseListLength: responseList.length,
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responseIndex: index,
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@@ -68,7 +68,7 @@ describe('PrometheusDatasource', () => {
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ctx.query = {
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range: { from: moment(1443454528000), to: moment(1443454528000) },
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targets: [{ expr: 'test{job="testjob"}', format: 'heatmap', legendFormat: '{{le}}' }],
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interval: '60s',
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interval: '1s',
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};
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});
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@@ -127,4 +127,82 @@ describe('Prometheus Result Transformer', () => {
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]);
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});
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});
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describe('When resultFormat is time series', () => {
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it('should transform matrix into timeseries', () => {
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const response = {
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status: 'success',
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data: {
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resultType: 'matrix',
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result: [
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{
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metric: { __name__: 'test', job: 'testjob' },
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values: [[0, '10'], [1, '10'], [2, '0']],
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},
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],
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},
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};
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let result = [];
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let options = {
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format: 'timeseries',
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start: 0,
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end: 2,
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};
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ctx.resultTransformer.transform(result, { data: response }, options);
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expect(result).toEqual([{ target: 'test{job="testjob"}', datapoints: [[10, 0], [10, 1000], [0, 2000]] }]);
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});
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it('should fill timeseries with null values', () => {
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const response = {
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status: 'success',
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data: {
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resultType: 'matrix',
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result: [
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{
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metric: { __name__: 'test', job: 'testjob' },
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values: [[1, '10'], [2, '0']],
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},
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],
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},
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};
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let result = [];
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let options = {
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format: 'timeseries',
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step: 1,
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start: 0,
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end: 2,
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};
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ctx.resultTransformer.transform(result, { data: response }, options);
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expect(result).toEqual([{ target: 'test{job="testjob"}', datapoints: [[null, 0], [10, 1000], [0, 2000]] }]);
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});
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it('should align null values with step', () => {
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const response = {
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status: 'success',
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data: {
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resultType: 'matrix',
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result: [
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{
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metric: { __name__: 'test', job: 'testjob' },
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values: [[4, '10'], [8, '10']],
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},
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],
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},
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};
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let result = [];
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let options = {
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format: 'timeseries',
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step: 2,
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start: 0,
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end: 8,
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};
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ctx.resultTransformer.transform(result, { data: response }, options);
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expect(result).toEqual([
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{ target: 'test{job="testjob"}', datapoints: [[null, 0], [null, 2000], [10, 4000], [null, 6000], [10, 8000]] },
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]);
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});
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});
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});
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