Efficient Shared Data in Perl
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The document discusses various approaches for efficient shared data in Perl, including files, shared memory, databases, and caching modules. It provides an overview of common caching and database modules for Perl like Cache::Cache, Cache::Mmap, MLDBM::Sync, BerkeleyDB, IPC::MM, Tie::TextDir, IPC::Shareable, DBD::SQLite, DBD::MySQL and memcached. It also describes testing methodology and analysis of performance results for different approaches when varying factors like number of clients and read/write ratios.
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Perl is a general-purpose programming language created by Larry Wall in 1987. It supports both procedural and object-oriented programming. Perl is useful for tasks like web development, system administration, text processing and more due to its powerful built-in support for text processing and large collection of third-party modules. Basic Perl syntax includes variables starting with $, @, and % for scalars, arrays, and hashes respectively. Conditional and looping constructs like if/else, while, and for are also supported.
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Efficient Shared Data in Perl
- 20. Effect of Increasing Clients
- 21. Effect of Read/Write Ratio
- 22. Scalars vs. Complex Data Structures
- 23. Latest Results
Editor's Notes
- 10 processes, low locality, scalars
- 10 processes, high-locality, scalars