How to Install and Uninstall redis-redisearch Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 21,2024

1. Install "redis-redisearch" package

Please follow the instructions below to install redis-redisearch on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                redis-redisearch
            
                    
    
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2. Uninstall "redis-redisearch" package

Please follow the steps below to uninstall redis-redisearch on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                redis-redisearch
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the redis-redisearch package on Ubuntu 20.10 (Groovy Gorilla)

Package: redis-redisearch
Architecture: amd64
Version: 1:1.2.2-3
Priority: optional
Section: universe/python
Source: redisearch
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Chris Lamb
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2003
Depends: redis-server, libc6 (>= 2.29)
Filename: pool/universe/r/redisearch/redis-redisearch_1.2.2-3_amd64.deb
Size: 1118236
MD5sum: 0dade27ddf5c7a1439e8322072f50cde
SHA1: f55b65cc19f92ae4968ad1c6d838dc1b71f865e7
SHA256: 9dba15207c5659a99899fc8158468412675f4f556a4c6f6be12ad480eaf6724f
SHA512: bdba8892701447d36054d99d3002edb1622e1fda44b8d472ac09e090ba8c081e4294fd237db74eca63bb291a0aa4ea415da3c5f911682a13815a822b659c74fe
Homepage: https://github.com/goodform/RediSearch
Description-en: Full-text and secondary search index engine module for Redis
Redisearch implements a search engine on top of Redis but unlike other search
libraries it does not use internal data structures such as sorted sets.
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This also enables more advanced features such as exact phrase matching and
numeric filtering for text queries that are not possible or efficient with
traditional Redis search approaches.
Description-md5: e831bfdb10248e768c502999779091ec