Apache Arrow in JS
Arrow is a set of technologies that enable big-data systems to process and move data fast.
install apache-arrow from npm
npm install apache-arrow
(read about how we package apache-arrow below)
Apache Arrow is a columnar memory layout specification for encoding vectors and table-like containers of flat and nested data. The Arrow spec aligns columnar data in memory to minimize cache misses and take advantage of the latest SIMD (Single input multiple data) and GPU operations on modern processors.
Apache Arrow is the emerging standard for large in-memory columnar data (Spark, Pandas, Drill, ...). By standardizing on a common binary interchange format, big data systems can reduce the costs and friction associated with cross-system communication.
- GoAI -- Arrow-powered GPU analytics
- rxjs-mapd -- A MapD Core node-driver that returns query results as Arrow columns
import { readFileSync } from 'fs';
import { Table } from 'apache-arrow';
const arrow = readFileSync('simple.arrow');
const table = Table.from(arrow);
console.log(table.toString());
/*
foo, bar, baz
1, 1, aa
null, null, null
3, null, null
4, 4, bbb
5, 5, cccc
*/
import { readFileSync } from 'fs';
import { Table } from 'apache-arrow';
const table = Table.from(...[
'latlong/schema.arrow',
'latlong/records.arrow'
].map((file) => readFileSync(file)));
console.log(table.toString());
/*
origin_lat, origin_lon
35.393089294433594, -97.6007308959961
35.393089294433594, -97.6007308959961
35.393089294433594, -97.6007308959961
29.533695220947266, -98.46977996826172
29.533695220947266, -98.46977996826172
*/
import { readFileSync } from 'fs';
import { Table } from 'apache-arrow';
const table = Table.from(...[
'latlong/schema.arrow',
'latlong/records.arrow'
].map(readFileSync));
const column = table.getColumn('origin_lat');
const typed = column.slice();
assert(typed instanceof Float32Array);
for (let i = -1, n = column.length; ++i < n;) {
assert(column.get(i) === typed[i]);
}
import MapD from 'rxjs-mapd';
import { Table } from 'apache-arrow';
const port = 9091;
const host = `localhost`;
const db = `mapd`;
const user = `mapd`;
const password = `HyperInteractive`;
MapD.open(host, port)
.connect(db, user, password)
.flatMap((session) =>
// queryDF returns Arrow buffers
session.queryDF(`
SELECT origin_city
FROM flights
WHERE dest_city ILIKE 'dallas'
LIMIT 5`
).disconnect()
)
.map(([schema, records]) =>
// Create Arrow Table from results
Table.from(schema, records))
.map((table) =>
// Stringify the table to CSV
table.toString({ index: true }))
.subscribe((csvStr) =>
console.log(csvStr));
/*
Index, origin_city
0, Oklahoma City
1, Oklahoma City
2, Oklahoma City
3, San Antonio
4, San Antonio
*/
See develop.md
Even if you do not plan to contribute to Apache Arrow itself or Arrow integrations in other projects, we'd be happy to have you involved:
- Join the mailing list: send an email to dev-subscribe@arrow.apache.org. Share your ideas and use cases for the project.
- Follow our activity on JIRA
- Learn the format
- Contribute code to one of the reference implementations
We prefer to receive contributions in the form of GitHub pull requests. Please send pull requests against the github.com/apache/arrow repository.
If you are looking for some ideas on what to contribute, check out the JIRA issues for the Apache Arrow project. Comment on the issue and/or contact dev@arrow.apache.org with your questions and ideas.
If you’d like to report a bug but don’t have time to fix it, you can still post it on JIRA, or email the mailing list dev@arrow.apache.org
apache-arrow
is written in TypeScript, but the project is compiled to multiple JS versions and common module formats.
The base apache-arrow
package includes all the compilation targets for convenience, but if you're conscientious about your node_modules
footprint, we got you.
The targets are also published under the @apache-arrow
namespace:
npm install @apache-arrow/es5-cjs # ES5 CommonJS target
npm install @apache-arrow/es5-esm # ES5 ESModules target
npm install @apache-arrow/es5-umd # ES5 UMD target
npm install @apache-arrow/es2015-cjs # ES2015 CommonJS target
npm install @apache-arrow/es2015-esm # ES2015 ESModules target
npm install @apache-arrow/es2015-umd # ES2015 UMD target
npm install @apache-arrow/esnext-esm # ESNext CommonJS target
npm install @apache-arrow/esnext-esm # ESNext ESModules target
npm install @apache-arrow/esnext-umd # ESNext UMD target
The JS community is a diverse group with a varied list of target environments and tool chains. Publishing multiple packages accommodates projects of all stripes.
If you think we missed a compilation target and it's a blocker for adoption, please open an issue. We're here for you ❤️.