Distributed Computing Framework for Node.js

Early development stage: this project was still under early development, many necessery feature was not done yet, use it on your own risk.

Document

API Reference

A node.js version of Spark, without hadoop or jvm.

You should read tutorial first, then you can learn Spark but use this project instead.

Async API & deferred API

Any api that requires a RDD and generate a result is async, like count, take, max ... Any api that creates a RDD is deferred API, which is not async, so you can chain them like this:

await dcc
  .parallelize([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
  .map(v => v + 1)
  .filter(v => v % 2 === 0)
  .take(10); // take is not deferred api but async

Milestones

0.1.x: Basic

• local master.
• rdd & partition creation & release.
• map & reduce
• repartition & reduceByKey
• disk storage partitions
• cache
• file loader & saver
• export module to npm
• decompresser & compresser
• use debug module for information/error
• provide a progress bar.
• sampler
• sort
• object hash(for key) method
• storage MEMORY_OR_DISK, and use it in sort
• storage MEMORY_SER，storage in memory but off v8 heap.
• config default partition count.

0.2.x: Remote mode

• distributed master
• runtime sandbox
• plugin system
• remote dependency management
• aliyun oss loader
• hdfs loader

How to use

Install from npm(shell only)

npm install -g dcf
#or
yarn global add dcf

Then you can use command: dcf-shell

Install from npm(as dependency)

npm install --save dcf
#or
yarn add dcf

Then you can use dcf with javascript or typescript.

Run samples & cli

download this repo, install dependencies

npm install
# or
yarn

Run samples:

npm run ts-node src/samples/tutorial-0.ts
npm run ts-node src/samples/repartition.ts

Run interactive cli:

npm start