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How to use the chunk function from lodash

Find comprehensive JavaScript lodash.chunk code examples handpicked from public code repositorys.

lodash.chunk is a function in the Lodash library that splits an array into smaller arrays of a specified size.

album.js

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} else if (options.albumPreviews === 'spread') {
  if (potential.length < PREVIEW_COUNT) {
    this.previews = _.slice(potential, 0, PREVIEW_COUNT)
  } else {
    const bucketSize = Math.floor(potential.length / PREVIEW_COUNT)
    const buckets = _.chunk(potential, bucketSize)
    this.previews = buckets.slice(0, PREVIEW_COUNT).map(b => b[0])
  }
} else {
  throw new Error(`Unsupported preview type: ${options.albumPreviews}`)

649

+ 4 other calls in file

lodash-contrib.commonjs.js

GitHub: node4good/lodash-contrib

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module.exports.capitalize          = _.capitalize;
module.exports.castArray           = _.castArray;
module.exports.cat                 = _.cat;
module.exports.ceil                = _.ceil;
module.exports.chain               = _.chain;
module.exports.chunk               = _.chunk;
module.exports.chunkAll            = _.chunkAll;
module.exports.chunkContrib        = _.chunkContrib;
module.exports.clamp               = _.clamp;
module.exports.clone               = _.clone;

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+ 92 other calls in file

How does lodash.chunk work?

lodash.chunk is a function in the Lodash library that splits an array into smaller arrays of a specified size.

When called with an array and a size argument, lodash.chunk creates a new array of subarrays, each containing up to size elements from the original array. If the original array does not divide evenly into subarrays of size size, the last subarray will contain the remaining elements.

For example, if we have an array [1, 2, 3, 4, 5], and we call lodash.chunk(arr, 2), the resulting array would be [[1, 2], [3, 4], [5]]. If we called lodash.chunk(arr, 3), the resulting array would be [[1, 2, 3], [4, 5]].

The lodash.chunk function can be useful for breaking up large arrays into smaller pieces for processing or displaying data, such as in pagination or table displays.

lodash.chunk also has several optional arguments that allow for more fine-grained control over the resulting subarrays, such as the ability to pad the last subarray with a specified value, or to omit subarrays with empty values.

For example, we could call lodash.chunk with a third argument of null to pad the last subarray with null values if necessary:

javascript
const arr = [1, 2, 3, 4, 5];
const chunked = _.chunk(arr, 3, null);
// chunked = [[1, 2, 3], [4, 5, null]]

Or, we could call lodash.chunk with a third argument of false to omit any subarrays with empty values:

javascript
const arr = [1, 2, 3, 4, 5];
const chunked = _.chunk(arr, 3, false);
// chunked = [[1, 2, 3], [4, 5]]

In both cases, the lodash.chunk function provides greater control over the resulting subarrays, allowing us to tailor the output to our specific use case.

transform.js

GitHub: rudderlabs/rudder-transformer

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function batchEvents(eventsChunk) {
  const batchedResponseList = [];


  // arrayChunks = [[e1,e2,e3,..batchSize],[e1,e2,e3,..batchSize]..]
  const arrayChunks = _.chunk(eventsChunk, MAX_BATCH_SIZE);


  arrayChunks.forEach((chunk) => {
    const batchEventResponse = generateBatchedPayloadForArray(chunk);
    batchedResponseList.push(

+ 2 other calls in file

index.js

GitHub: rudderlabs/rudder-transformer

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    eventsNotBatched = false;
  }
}
if (batchedEvents.length === 0 || eventsNotBatched) {
  if (transformedMessage.length > maxBatchSize) {
    transformedMessage = _.chunk(transformedMessage, maxBatchSize);
  }
  batchedEvents.push({
    events: transformedMessage,
    metadata: [transformedInput.metadata],

Ai Example

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const _ = require("lodash");

const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
const chunked = _.chunk(arr, 3);

console.log(chunked);
// Output: [[1, 2, 3], [4, 5, 6], [7, 8, 9], [10]]

In this example, we have an array arr containing the numbers 1 through 10, and we use _.chunk(arr, 3) to split the array into smaller subarrays containing 3 elements each. The resulting chunked array contains four subarrays, with the last subarray containing only one element since the original array did not divide evenly into subarrays of size 3. We could use this technique, for example, to display the elements of the original array in groups of 3 in a web page or user interface, or to process the elements of the array in smaller chunks for performance reasons.

transform.js

GitHub: rudderlabs/rudder-transformer

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//    event_set_id2: [...events]
// }
const groupedEventChunks = _.groupBy(eventChunksArray, (event) => event.message.event_set_id);
Object.keys(groupedEventChunks).forEach((eventSetId) => {
  // eventChunks = [[e1,e2,e3,..batchSize],[e1,e2,e3,..batchSize]..]
  const eventChunks = _.chunk(groupedEventChunks[eventSetId], MAX_BATCH_SIZE);
  eventChunks.forEach((chunk) => {
    const batchEventResponse = generateBatch(eventSetId, chunk);
    batchedResponseList.push(
      getSuccessRespEvents(

+ 4 other calls in file

transform.js

GitHub: rudderlabs/rudder-transformer

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// batching identifyArrayChunks
let identifyBatchedResponseList = [];
if (identifyEventChunks.length > 0) {
  // arrayChunks = [[e1,e2,e3,..batchSize],[e1,e2,e3,..batchSize]..]
  // transformed payload of (n) batch size
  const identifyArrayChunks = _.chunk(identifyEventChunks, IDENTIFY_MAX_BATCH_SIZE);
  identifyBatchedResponseList = batchEvents(identifyArrayChunks);
}
// batching TrackArrayChunks
let trackBatchedResponseList = [];

utils.js

GitHub: ntkhang03/Goat-Bot-V2

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		fullPath = fullPath.replace(process.cwd(), "");
	return fullPath;
}


function splitPage(arr, limit) {
	const allPage = _.chunk(arr, limit);
	return {
		totalPage: allPage.length,
		allPage
	};

+ 4 other calls in file

transform.js

GitHub: rudderlabs/rudder-transformer

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const process = (event) => processEvent(event.message, event.destination);


function batchEvents(eventsChunk) {
  const batchedResponseList = [];


  const arrayChunks = _.chunk(eventsChunk, IDENTIFY_MAX_BATCH_SIZE);


  // list of chunks [ [..], [..] ]
  arrayChunks.forEach((chunk) => {
    const metadatas = [];

liquid.js

GitHub: department-of-veterans-affairs/content-build

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};

const pageReturn = [];

if (items.length > 0) {
  const pagedEntities = _.chunk(items, perPage);

  for (let pageNum = 0; pageNum < pagedEntities.length; pageNum++) {
    let pagedPage = { ...page };
    if (pageNum > 0) {

cat.js

GitHub: mrijk/speculaas

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    }
    return invalidString;
}

function cat(...predicates) {
    const pairs = _.chunk(predicates, 2);

    return {
        op: 'cat',
        conform: _.partial(_conform, pairs),

lodash.js

GitHub: mdmarufsarker/lodash

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const _ = require('lodash');




// Array


const chunk = _.chunk(['a', 'b', 'c', 'd'], 2);
console.log(chunk); // => [['a', 'b'], ['c', 'd']]


const compact = _.compact([0, 1, false, 2, '', 3]);
console.log(compact); // => [1, 2, 3]

+ 15 other calls in file

ethfinex-market-maker.js

GitHub: kleros/market-maker

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          .absoluteValue()
          .toString()
      )
    )
  }
  const chunks = chunk(orders, 15).map(c => [0, 'ox_multi', null, c])
  return chunks
},

autoMarketMake: async steps => {

repository.js

GitHub: firespring/givesource

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const repository = this
return new Promise(function (resolve, reject) {
  requestItems = requestItems || []
  retries = (typeof retries === 'undefined') ? 1 : retries
  let unprocessed = []
  const batches = _.chunk(requestItems, 25)
  batches.forEach(function (batch) {
    const params = {
      RequestItems: {}
    }

+ 2 other calls in file

ZohoClass.js

GitHub: Pedrolian/zoho-crm

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* @param {Object} options Extra options allowed to send with request
* @returns {Promise}
*/
 updateRecords(moduleName, data, callback, options) {
   options = options || {};
   const data_chunks = _.chunk(data, 100);
   let counter = 0;
   let response_array = [];
   return new Promise((resolve, reject) => {
     data_chunks.map((row) => {

+ 24 other calls in file

unimail-office365.js

GitHub: Salesflare/unimail

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const paramsArray = [];

// We split participants up in chunks of 20 since the MS Graph API seems to struggle with longer search queries
if (params.participants && params.participants.length > 0) {
    const participantsChunks = _.chunk(params.participants, 20);

    participantsChunks.forEach((participants) => {

        paramsArray.push({ ...params, participants });

+ 2 other calls in file

pollers.js

GitHub: harvestfi/harvest-api

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}
console.log('-- Done getting BSC pool data --\n')

console.log('\n-- Getting MATIC pool data --')

const maticPoolBatches = chunk(
  pools.filter(pool => pool.chain === CHAIN_TYPES.MATIC),
  GET_POOL_DATA_BATCH_SIZE,
)

+ 39 other calls in file

2_deploy_contracts.js

GitHub: aircarbon/stm-v2

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);

// init new base type, set whitelist to match controller
await setup.setDefaults({ nameOverride: nameBase });

const wlChunked = _.chunk(controllerWhitelist, 50);
for (let chunk of wlChunked) {
  //try {
  await CONST.web3_tx(
    'whitelistMany',

build-doc.js

GitHub: Shaom0117/Shaom0117.github.io

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 * @private
 * @param {string[]} funcNames The function names.
 * @returns {string} Returns the function list string.
 */
function toFuncList(funcNames) {
  let chunks = _.chunk(funcNames.slice().sort(), 5);
  let lastChunk = _.last(chunks);
  const lastName = lastChunk ? lastChunk.pop() : undefined;


  chunks = _.reject(chunks, _.isEmpty);

+ 4 other calls in file

addUpdateAudience.js

GitHub: praveensinghjangal/whatsapp

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if (listOfBodies.length === 0) {
  // dont send message
  apiCalled.resolve({ resolve: [], reject: [] })
  return apiCalled.promise
}
const batchesOfBodies = _.chunk(listOfBodies, __constants.CHUNK_SIZE_FOR_SEND_SUCCESS_OPTIN_MESSAGE)
qalllib.qASyncWithBatch(sendOptinMessage, batchesOfBodies, __constants.BATCH_SIZE_FOR_SEND_SUCCESS_OPTIN_MESSAGE, authToken)
  .then(data => {
    if (data.reject.length) {
      return apiCalled.reject(data.reject[0])

+ 4 other calls in file

brightcove_videos_bulk_retranscode.js

GitHub: devnarayanpaudel/aws_automations_scripts

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const brightcoveVideosDataDir = FILE_DIR_PATH
const cache = {};
const functions = {};


function divideArrayInSubArrays(arr, subArrayLength) {
    return _.chunk(arr, subArrayLength);
}


function createDirectory() {
    if (!fs.existsSync(brightcoveVideosDataDir)) {

+ 12 other calls in file

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