Which is better gzip or deflate

OpenCPU also ran their own benchmarks and found that: Brotli was superior in terms of the compression ratio GZIP was much faster at on-the-fly compression. In general, the data seems to suggest that: Brotli is better at compressing static data because of its superior compression ratio GZIP is better at compressing dynamic data because of its often superior compression speed Akamai also notes that, if you play around with the Brotli settings, you can get compression speeds that rival GZIP while also benefiting from a better compression ratio.

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Send comment. Anmar Alnaqeeb Hey Colin, Thank you for sharing this informative article. Cheers, Anmar. Related Article How about buyvm. Methods for generating various waveform files Vcd,vpd,shm,fsdb Mac Ping:sendto:Host is down Ping does not pass other people' SOLR is successfully installed on the office machine accordi Webmaster resources site creation required Contact Us The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud.

Top 10 Tags datastax versions naming convention zookeeper client class definition md5 microsoft sql server data structures exception handling error handling. Why did zlib claim to be compatible with GZIP when it was clearly not the same format? We also noticed that even though Snowflake was unable to detect the zlib compressed file, if we told it that it's a GZIPped file it was able to load it without issues. Clearly the claim of compatibility wasn't completely outlandish.

After a few weeks I decided to dive in and investigate in depth. The following is a summary of what I learned. I was surprised to find out that GZIP, zlib or even ZIP are not compression algorithms, they are actually file formats that can permit different compression algorithms.

Even more surprising, virtually every implementation of those three actually use the same lossless data compression algorithm. Not quite, and the final size of the compressed file can vary significantly between ZIP and the other two for reasons we will see below, but under the hood the actual compression is done in exactly the same way. In short, it takes some input data as a stream consisting of a series of blocks of data, then uses a combination of LZ77 algorithm and Huffman coding on each block.

LZ77 identifies duplicate strings and replaces them with a back reference, which is a pointer to the place where it previously appeared, followed by the length of the string. This is done on the raw data blocks. For a more detailed explanation and example see Bonus section 1. Huffman coding is known as bit reduction, and identifies the commonly used symbols and replaces them with symbols with shorter bit sequences.

Infrequently used symbols will be represented with longer bit sequences. The Vary header used in this manner effectively nullifies the shared caching which reduces the overall performance of the web. It is important to review how your web server is configured to compress content. Most browsers allow you to specify either a list of file extensions to compress, or a list of MIME types to compress, or both.

Be careful to review this list. Something else? How about HTML? Is all of the markup generated by your application served using a single and consistent MIME type? What MIME type does that opaque charting library use to send data to the client? Or that auto-completing textbox widget you got from Github? If you are configuring the web server to use compression using file extensions, did you get all of them? What about your handler? Care must be taken when configuring your web server to ensure that uncompressed content is not slipping through due to a missing file extension or MIME type declaration.

To see where you might have made a mistake configuring your server, your need a something to compare it to. I am a big fan of the. This is an Apache configuration file specifically crafted for web performance optimizations.

It provides a great starting point for implementing HTTP compression properly. It also serves as a nice guide to compare to an existing web server configuration to verify you are following best practices.

Getting a good starting point is only half the battle. The configuration for HTTP compression on a web server only works when it matches the application running on that server. Even the HTML5 Boilerplate configuration file can fail you if there is a discrepancy between the file extensions and MIME types in the configuration file and those used by your application.

To ensure your application matches your configuration, the best thing to do is carefully review:. Once you think you have properly configured the web server, you need to validate it. Web Sniffer is a great, free, web-based tool that let you make individual HTTP requests and see the responses. Web Sniffer gives you some control over the User-Agent and Accept-Encoding header to ensure that compressed content is delivered properly.

Hurl is another web-based HTTP tool you can use. It allows for more control than Web Sniffer, but requires you to manually enter more information to get the same results:. Hurl and Web Sniffer only test a single page at a time. As this post shows, there are many challenges which must be overcome to properly configure HTTP compression.

Make sure all non-natively compressed content is served using HTTP compression. Only use GZIP compression to ensure compatibility. Use a tool to validate that is works. Want to see what performance problems your website has? You can get a free performance scan of you website now and at a look at our Zoompf WPO product at Zoompf.

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