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Run-length encoding (RLE) is a simple form of data compression thats particularly effective for data with long sequences of the same value. It replaces these sequences with a single value and count, reducing redundancy and shrinking file size.
LZ4 was designed with L2 cache limitation in mind. In order to ensure fast compression, all data should be retrieved from the L2 cache, which is relatively fast, at about 10 cycles per access. Fair enough, but there is even faster : the L1 cache can provide access within 3 cycles or less.
They ensure compact storage, better I/O utilization, and faster processing of the voluminous data handled in such environments. What are some popular Data Compression Algorithms? Some popular ones include Huffman Coding, Run Length Encoding, and Lempel-Ziv-Welch (LZW).
LZ4 (compression algorithm)
Lossless compression restores and rebuilds file data in its original form after the file is decompressed. For example, when a pictures file size is compressed, its quality remains the same. The file can be decompressed to its original quality without any loss of data.
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Lempel-Ziv-Welch (LZW) Compression Lempel-Ziv-Welch (LZW) is a universal lossless compression algorithm that is particularly effective for text compression. It works by building a dictionary of substrings encountered in the input and replacing them with shorter codes.
LZ4 is extremely fast, but doesnt have the best compression ratio. ZSTD is also really fast, noticeable faster than gzip, and does have fairly solid compression ratios, in some cases even better than gzip.

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