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Connecting to cluster example (#2298)

* 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.
This commit is contained in:
Varad Karpe
2022-10-19 21:02:07 +09:00
committed by GitHub
parent d0bfa771a8
commit 1eed12ec65
2 changed files with 34 additions and 0 deletions

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@@ -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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@@ -0,0 +1,33 @@
// 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();