How to use the mapSeries function from async
Find comprehensive JavaScript async.mapSeries code examples handpicked from public code repositorys.
async.mapSeries is an Async control flow function in JavaScript that applies a given asynchronous function to each element of an array serially and returns an array of results.
GitHub: martindale/orc
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if (!Array.isArray(audits)) { return next(new Error('Invalid audit batch supplied')); } async.mapSeries(audits, ({ hash, challenge }, done) => { this.node.database.ShardContract.findOne({ shardHash: hash }, (err, contract) => { if (err || !contract) {
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var async = require('async'); /////////////////// module.exports = function detectSeries (tasks, testFn, mainCallback) { async.mapSeries(tasks, function (fn, callback) { fn(function (err, result) { /* istanbul ignore if */ if (err) { return callback(err); }
How does async.mapSeries work?
async.mapSeries is a function in the async library for JavaScript that takes an array and a function, and applies the function to each element of the array sequentially, in series, with the result being an array of the mapped values in the order of their corresponding input elements.
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* doSomeIO(arg, callback); // this IO would be asynchronous * } * } * * // this has a risk of stack overflows if many results are cached in a row * async.mapSeries(args, sometimesAsync, done); * * // this will defer sometimesAsync's callback if necessary, * // preventing stack overflows * async.mapSeries(args, async.ensureAsync(sometimesAsync), done);
+ 3 other calls in file
GitHub: hackolade/BigQuery
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logger, }); const client = connect(connectionInfo, logger); const bigQueryHelper = createBigQueryHelper(client, log); const datasets = await bigQueryHelper.getDatasets(); const tablesByDataset = await async.mapSeries(datasets, async dataset => { const tables = await bigQueryHelper.getTables(dataset.id); const viewTypes = ['MATERIALIZED_VIEW', 'VIEW']; const dbCollections = tables.filter(t => !viewTypes.includes(t.metadata.type)).map(table => table.id); const views = tables.filter(t => viewTypes.includes(t.metadata.type)).map(table => table.id);
+ 2 other calls in file
Ai Example
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const async = require("async"); const square = (n, callback) => { setTimeout(() => { callback(null, n * n); }, 1000); }; const numbers = [1, 2, 3]; async.mapSeries(numbers, square, (err, results) => { if (err) { console.error(err); return; } console.log(results); });
In this example, we have an array of numbers and a function square that takes a number and returns its square after a delay of 1 second. We use async.mapSeries to apply the square function to each element of the numbers array in series, which means that the next operation will not start until the previous one has completed. Finally, we print the results array, which contains the squares of the original numbers array in the same order.
GitHub: OneDev0411/Node-Backend
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Alert.matchingRoomsByAlerts(listing, (err, sat_list) => { if (err) return cb(err) async.mapSeries(sat_list, function (sat, cb) { const external_info = {} external_info.ref_alert_id = sat.id external_info.notification = 'Hit'
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logger.debug({ dir: archiveDir }, 'archiving log files for project') return fse.ensureDir(archiveDir, function (err) { if (err != null) { return callback(err) } return async.mapSeries( outputFiles, function (file, cb) { const [src, dst] = Array.from([ Path.join(compileDir, file.path),
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GitHub: stfnbssl/wizzi
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heading2('basic js generations') const example_ittfs = [ 'debug', 'quick' ]; async.mapSeries(example_ittfs, function(ittf, callback) { console.log('======================================================================================'); console.log('generate file', ittf + '.js.ittf'); console.log('--------------------------------------------------------------------------------------'); loadModelAndGenerateArtifact(path.join(__dirname, 'ittf', ittf + '.js.ittf'), {}, "js/module", function(err, artifactText) {
GitHub: stfnbssl/wizzi
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} }) function executeLoadFolderModels(folder, schema, context, callback) { var suffix = schema === 'ittf' ? '.ittf' : '.' + schema + '.ittf'; var ittfPath = path.join(__dirname, 'ittf', folder); async.mapSeries(getFiles(ittfPath,schema), function(item, callback) { item = item.substring(0, item.length - suffix.length); console.log('wizzi-core.examples.jobs.item', item, 'schema', schema); executeLoadModel(item, folder, schema, context, callback); }, function(err, result) {
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else { } } ) function executeGenerateModules(modules, callback) { async.mapSeries(modules, (module, callback) => { console.log('wfschema/model.example.executeGenerateModules.module: ' + module, __filename); var ittfDocumentUri = path.join(__dirname, 'ittf', module + '.wfschema.ittf'); var outputPath = path.join(__dirname, 'results', 'wfschema', module + '-model.g.js');
GitHub: stfnbssl/wizzi.plugins
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} var goitems = []; for (var i = from; i < items.length; i++) { goitems.push(items[i]); } async.mapSeries(goitems, md.mapItem(ctx), (err, notUsed) => { if (err) { return callback(err); }
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