How to Install and Uninstall liborc1.x86_64 Package on Fedora 36

Last updated: April 27,2024

1. Install "liborc1.x86_64" package

Please follow the step by step instructions below to install liborc1.x86_64 on Fedora 36


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                liborc1.x86_64
            
                    
    
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2. Uninstall "liborc1.x86_64" package

Please follow the instructions below to uninstall liborc1.x86_64 on Fedora 36:


    
        
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                sudo dnf remove
            
                        
                liborc1.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the liborc1.x86_64 package on Fedora 36

Last metadata expiration check: 0:43:26 ago on Thu Sep 8 14:04:51 2022.
Available Packages
Name : liborc1
Version : 1.7.6
Release : 1.fc36
Architecture : x86_64
Size : 394 k
Source : liborc-1.7.6-1.fc36.src.rpm
Repository : updates
Summary : Library for producing small, fast columnar storage for Hadoop workloads
URL : http://orc.apache.org/
License : ASL 2.0
Description : ORC is a self-describing type-aware columnar file format designed
: for Hadoop workloads. It is optimized for large streaming reads,
: but with integrated support for finding required rows quickly.
: Storing data in a columnar format lets the reader read, decompress,
: and process only the values that are required for the current query.
: Because ORC files are type-aware, the writer chooses the most
: appropriate encoding for the type and builds an internal index as
: the file is written. Predicate pushdown uses those indexes to
: determine which stripes in a file need to be read for a particular
: query and the row indexes can narrow the search to a particular set
: of 10,000 rows. ORC supports the complete set of types in Hive,
: including the complex types: structs, lists, maps, and unions.