How to Install and Uninstall libdata-stream-bulk-perl Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 20,2024

1. Install "libdata-stream-bulk-perl" package

Here is a brief guide to show you how to install libdata-stream-bulk-perl on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libdata-stream-bulk-perl
            
                    
    
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2. Uninstall "libdata-stream-bulk-perl" package

This tutorial shows how to uninstall libdata-stream-bulk-perl on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libdata-stream-bulk-perl
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libdata-stream-bulk-perl package on Ubuntu 20.10 (Groovy Gorilla)

Package: libdata-stream-bulk-perl
Architecture: all
Version: 0.11-1
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 117
Depends: perl, libmoose-perl (>= 0.90), libnamespace-clean-perl (>= 0.08), libpath-class-perl, libsub-exporter-perl
Filename: pool/universe/libd/libdata-stream-bulk-perl/libdata-stream-bulk-perl_0.11-1_all.deb
Size: 45188
MD5sum: c58e3cb037df72c85be5754de4005573
SHA1: 2c0938bba883d1794fc4b0aa2a1595022218931b
SHA256: 24e4ce281c8671b9238271dd63c882b66066d70fd9f7c7f5fdd52ab3ab531026
SHA512: 0accb469274343d486b1782b056816a6b47c365f0b112d0eee11489c5fe528787eba09020605ab7441e63a1a5f598bd13169f183166bc09c1c014267c44f41c1
Homepage: http://search.cpan.org/dist/Data-Stream-Bulk/
Description-en: N at a time iteration API
Data::Stream::Bulk is a utility for working with data streams of indefinite
size. It tries to find a middle ground between one-at-a-time and all-at-once
processing of data sets by providing a common interface for both.
.
Often, data sets from streams can fit entirely in memory, so operating on them
with an array is simple and appropriate. However, in cases where the stream is
not bounded, the array can grow to a very large size and quickly consume all
available memory. This module allows developers to work with data in blocks
which are guaranteed to fit in memory.
Description-md5: 1342583cd5b0161adcaa25c8c3b656e5