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Connecting to cluster example (#2298)
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* Connecting to cluster example

* Connecting to cluster example

* Making changes according to review

* Adding example to Readme.md in alphabetical order

* Fixed order of scripts so they are alphabetic.

Co-authored-by: Simon Prickett <simon@redis.com>

Closes #2281.
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varadkarpe committed Oct 19, 2022
1 parent d0bfa77 commit 1eed12e
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1 change: 1 addition & 0 deletions examples/README.md
Expand Up @@ -8,6 +8,7 @@ This folder contains example scripts showing how to use Node Redis in different
| `bloom-filter.js` | Space efficient set membership checks with a [Bloom Filter](https://en.wikipedia.org/wiki/Bloom_filter) using [RedisBloom](https://redisbloom.io) |
| `command-with-modifiers.js` | Define a script that allows to run a command with several modifiers |
| `connect-as-acl-user.js` | Connect to Redis 6 using an ACL user |
| `connect-to-cluster.js` | Connect to Redis cluster |
| `count-min-sketch.js` | Estimate the frequency of a given event using the [RedisBloom](https://redisbloom.io) Count-Min Sketch |
| `cuckoo-filter.js` | Space efficient set membership checks with a [Cuckoo Filter](https://en.wikipedia.org/wiki/Cuckoo_filter) using [RedisBloom](https://redisbloom.io) |
| `get-server-time.js` | Get the time from the Redis server |
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33 changes: 33 additions & 0 deletions examples/connect-to-cluster.js
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// This is an example script to connect to a running cluster.
// After connecting to the cluster the code sets and get a value.

// To setup this cluster you can follow the guide here:
// https://redis.io/docs/manual/scaling/
// In this guide the ports which are being used are 7000 - 7005


import { createCluster } from 'redis';

const cluster = createCluster({
rootNodes : [
{
url : 'redis://127.0.0.1:7001'
},
{
url : 'redis://127.0.0.1:7002'
},
{
url : 'redis://127.0.0.1:7003'
}
]
});

cluster.on('error', (err) => console.log('Redis Client Error', err));

await cluster.connect();

await cluster.set('hello', 'cluster');
const value = await cluster.get('hello');
console.log(value);

await cluster.quit();

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