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jimmy-longjimmy-long
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Addition of Stats Exporter for Microsoft Azure (#795)
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‎packages/opencensus-exporter-azure/.nycrc‎

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{
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"nyc": {
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"all": true,
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"include": [
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"test/**/*.ts"
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]
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}
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}

‎packages/opencensus-exporter-azure/bbtest/batch_blackbox.ts‎

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/**
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* Copyright 2020 OpenCensus Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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const AS = require('../build/src/azure-stats');
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const OC = require('@opencensus/core');
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function exportSingleMetric() {
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// Construct and register an AzureStatsExporter with the OpenCensus library.
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const exporter = new AS.AzureStatsExporter({
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instrumentationKey: 'xxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx',
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logger: new OC.logger.ConsoleLogger(process.argv[2] || 'info'),
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periodInMillis: 15000,
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exportMode: AS.ExportMode.BATCH,
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aggregationMethod: AS.AggregationMethod.AVERAGE
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});
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OC.globalStats.registerExporter(exporter);
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// Create a dummy metric.
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const mDummy2 = OC.globalStats.createMeasureInt64('test/dummy2', OC.MeasureUnit.UNIT, 'This variable has absolutely no meaning.');
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const dumbTagKey = { name: 'dumb' };
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const view = OC.globalStats.createView(
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'dummy/view2',
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mDummy2,
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OC.AggregationType.SUM,
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[dumbTagKey],
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'An average of the dummy measure.'
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);
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OC.globalStats.registerView(view);
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// Create the tag map so we can set values for our dummy tags.
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const tags = new OC.TagMap();
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// Set a value for each.
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tags.set(dumbTagKey, { value: 'dumb' });
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// Loop through an arbitrary amount of numbers, and record them as 'metrics'.
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setInterval(() => {
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let randomCap = Math.floor(Math.random() * 901) + 100;
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let randomFloor = Math.floor(Math.random() * randomCap);
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for (let i = 0; i < 100; i++) {
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let randomNum = Math.floor(Math.random() * (randomCap + 1)) + randomFloor;
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OC.globalStats.record([{
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measure: mDummy2,
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value: randomNum
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}], tags);
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}
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}, 6000);
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}
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exportSingleMetric();

‎packages/opencensus-exporter-azure/bbtest/blackbox-trace.ts‎

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/**
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* Copyright 2020 OpenCensus Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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// Import Core OpenCensus and our Azure Exporter module.
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const OpenCensus = require('@opencensus/core');
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const tracing = require('@opencensus/nodejs');
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const AzureTrace = require('../build/src/azure-trace');
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const ApplicationInsights = require('applicationinsights');
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// Start the global tracing object
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const tracer = tracing.start({samplingRate: 1}).tracer;
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function doWork() {
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for (let i = 0; i < 10; i++) {
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const span = tracer.startChildSpan('doWork');
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span.start();
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for (let j = 0; j < 100000; j++);
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span.addAnnotation('Invoking doWork');
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for (let j = 0; j < 20000000; j++);
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span.end();
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}
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}
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function delay(ms) {
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return new Promise(resolve => setTimeout(resolve, ms));
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}
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async function exportSingleTrace() {
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// Construct and register an AzureStatsExporter with the OpenCensus library.
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const exporterOptions = {
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instrumentationKey: 'xxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx',
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logger: new OpenCensus.logger.ConsoleLogger(process.argv[2] || 'info'),
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maxBatchInterval: 1
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};
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const exporter = new AzureTrace.AzureTraceExporter(exporterOptions);
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// OpenCensus.globalStats.registerExporter(exporter);
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// Register the Azure trace exporter so that the global object will utilize
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// the Azure exporter to push traces
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tracer.registerSpanEventListener(exporter);
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// Start an arbitrary root span
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tracer.startRootSpan({ name: 'root-s01'}, rootSpan => {
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// Do some arbitrary work, and create children spans while we are at it.
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for(let i = 0; i < 10; i++) {
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doWork();
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}
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// End the root span, triggering the publishing of it.
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rootSpan.end();
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});
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// Pause execution of the script for 20 seconds, to allow the ExportBuffer that controls
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// the publish() method within the Trace Exporter time to complete logging
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await delay(20 * 1000);
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}
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exportSingleTrace();

‎packages/opencensus-exporter-azure/bbtest/blackbox.ts‎

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/**
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* Copyright 2020 OpenCensus Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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// Import Core OpenCensus and our Azure Exporter module.
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const OpenCensus = require('@opencensus/core');
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const AzureStats = require('../build/src/azure-stats');
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function exportSingleMetrics() {
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// Construct and register an AzureStatsExporter with the OpenCensus library.
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const exporter = new AzureStats.AzureStatsExporter({
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instrumentationKey: 'xxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx',
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logger: new OpenCensus.logger.ConsoleLogger(process.argv[2] || 'info')
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});
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OpenCensus.globalStats.registerExporter(exporter);
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// Create a dummy metric.
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const mDummy = OpenCensus.globalStats.createMeasureInt64('test/dummy', OpenCensus.MeasureUnit.UNIT, 'This variable has absolutely no meaning.');
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// Create some dummy tags.
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const dumbTagKey = { name: 'dumb' };
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const dumberTagKey = { name: 'dumber' };
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const evenDumberTagKey = { name: 'evenDumber' };
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const dumbestTagKey = { name: 'dumbest' };
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// Create some dummy views.
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const sumView = OpenCensus.globalStats.createView(
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'dummy/sumView',
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mDummy,
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OpenCensus.AggregationType.SUM,
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[dumbTagKey],
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'A sum of the dummy measure.'
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);
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OpenCensus.globalStats.registerView(sumView);
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const distributionView = OpenCensus.globalStats.createView(
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'dummy/distView',
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mDummy,
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OpenCensus.AggregationType.DISTRIBUTION,
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[dumbTagKey, dumberTagKey],
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'A distribution of the dummy measure.',
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[0, 5, 10, 15, 20, 25, 30, 35, 40, 45]
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);
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OpenCensus.globalStats.registerView(distributionView);
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const countView = OpenCensus.globalStats.createView(
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'dummy/countView',
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mDummy,
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OpenCensus.AggregationType.COUNT,
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[dumbTagKey, dumberTagKey, evenDumberTagKey],
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'A count of the dummy measure.'
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);
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OpenCensus.globalStats.registerView(countView);
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const lastValueView = OpenCensus.globalStats.createView(
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'dummy/lastValueView',
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mDummy,
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OpenCensus.AggregationType.LAST_VALUE,
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[dumbTagKey, dumberTagKey, evenDumberTagKey, dumbestTagKey],
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'The last value of the dummy measure.'
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);
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OpenCensus.globalStats.registerView(lastValueView);
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// Loop through an arbitrary amount of numbers, and record them as 'metrics'.
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for (let i = 0; i < 42; i++) {
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// Create the tag map so we can set values for our dummy tags.
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const tags = new OpenCensus.TagMap();
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// Set a value for each.
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tags.set(dumbTagKey, { value: 'dumb' });
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tags.set(dumberTagKey, { value: 'dumber' });
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tags.set(evenDumberTagKey, { value: 'evenDumber' });
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tags.set(dumbestTagKey, { value: 'dumbest' });
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OpenCensus.globalStats.record([{
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measure: mDummy,
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value: i
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}], tags);
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// Do something special if i is greater than 30 so we have extra things to look for in
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// AppInsights.
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if (i > 30) {
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tags.set(dumbTagKey, { value: 'dumb but over 30' });
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OpenCensus.globalStats.record([{
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measure: mDummy,
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value: i
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}], tags);
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}
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}
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}
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exportSingleMetrics();

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