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Random data generated by Azure Redis of Azure Redis series

2025-04-01 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Servers >

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Next, I'm going to introduce you how to migrate Azure Redis data. We often receive some requests, that is, customers need to migrate offline or other cloud Redis to Microsoft Azure Redis, or migrate from Microsoft Azure Redis in a certain region to other regions.

For these requirements, we can actually judge what kind of method we should use for migration through analysis. For Azure Redis premium version, we can support exporting data to blob and then importing it into Premium version of redis. This migration method is relatively simple and rough, but Premium version is not used by every user, and Azure Redis cannot be reduced from Premium version to Standard version. Therefore, this migration method itself has certain limitations. After that, we are going to introduce a method for migrating Redis across regions provided by Microsoft. However, before this, we need to prepare some test data. The test data should simulate the mode of the production environment as much as possible, and the amount of data should not be too small. Therefore, I will introduce you to a tool for generating redis random data.

First of all, thank you for the tool https://www.example.com provided by this big guygithub.com/SaminOz/redis-random-data-generator

The program itself is written in node.js, so we first need to prepare the node.js environment.

1. Install node.js on linux server first

sudo yum install node.js

2. Install dependent packages, the documentation has a very clear description of what packages are needed, direct installation is good

├─┬ lorem-ipsum@1.0.3

│ └─┬ optimist@0.3.7

│ └── wordwrap@0.0.3

├─┬ redis-stream@0.1.0

│ └─┬ event-stream@2.1.9

│ ├── from@0.1.3

│ ├── optimist@0.2.8

│ └── through@0.0.4

└── uuid@3.0.1

Install various packages using NPM

3. Download the files in https://github.com/SaminOz/redis-random-data-generator and copy them to the server. You can see that the program itself contains these files.

4. Edit config.json, add Azure redis address and key

5. Run node generator.js string 99999 and insert 99999 pieces of data randomly into Azure Redis

6. Connect to Azure Redis, you can see that the data volume has reached more than 200 M through info.

8. Query the data, you can see that the generated data is some random data

Of course, not just string, this program can also support redis data in other formats, it is still very convenient to use

Here are some basic uses of this program

Basic Usage:

node generator.js []

This will enter of entries into the redis instance

running at the server and port address set in the config.json

file.

If is set then this will be prepended to the key (uuid) separated by a ":" - thanks to Alfonso Montero for this contribution

node generator.js hash 100 session

1)...

100) "session:ffab3b35-09c3-4fd7-9af1-4d323534065e"

Types (others may be added in future versions i.e. geohash):

'string' uses SET to add a redis string value

'list' uses LPUSH to add a random number of values to a list

'set' uses SADD to add a random number of values to a set

'sorted' uses ZADD to add a random number of values and scores

to a sorted set.

'hash' uses HMSET to add a random number of values to a hash

node generator.js -help can be viewed for help

Once you have the data ready, you can see how to migrate it!

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