![]() Please keep in mind, this is for 1st party postings only. To avoid too much noise from companies, please post job openings there. We have a monthly "Who's Hiring?" post that will stay pinned to the top of the subreddit. Do Not Post Pirated Materialĭo not post links to or instructions on how to get pirated copies of copyrighted material. We ask that you not post about closed-source / paid software that is not specifically aimed at Go developers in particular (as opposed to all developers), even if it is written in Go. This includes: - Articles about the language itself - Announcements & articles about open source Go libraries or applications - Dev tools (open source or not) specifically targeted at Go developers Posts must be of interest to Go developers and related to the Go language. It optimizes for very high-speed compression and decompression, and moderate compression instead of maximum. Treat everyone with respect and kindness. Snappy is a compression/decompression library. Follow the Go Code of ConductĪs a part of the Go community, this subreddit and those who post on it should follow the tenets laid out in the Go Code of Conduct: Take responsibility for your words and actions, including their consequences, whether intended or otherwise. ![]() Avoid snarking (pithy, unproductive, sniping comments) Avoid discussing potentially offensive or sensitive issues this all too often leads to unnecessary conflict. Avoid unconstructive criticism: don't merely decry the current state of affairs offer-or at least solicit-suggestions as to how things may be improved. Be constructive.Īvoid derailing: stay on topic if you want to talk about something else, start a new conversation. The Apache Commons Compress library defines an API for working with ar, cpio, Unix dump, tar, zip, gzip, XZ, Pack200, bzip2, 7z, arj, lzma, snappy, DEFLATE, lz4, Brotli, Zstandard, DEFLATE64 and Z files. When we do disagree, try to understand why. Interpret the arguments of others in good faith, do not seek to disagree. In particular, respect differences of opinion. Remember that sometimes it is best to refrain entirely from commenting. Think about how your words will be interpreted. Gzip gives the highest compression, but it is most expensive of them all both in terms of CPU and latency. At roughly 20 more CPU and 7 more latency, Zstd gives us about 30 more compression. However, Zstd also catches up with Snappy. ![]() Productive communication requires effort. From our test results, we can see that Snappy can give us good compression ratio at low CPU usage. (Meaning and tone can be lost in translation.) 3. Remember that people have varying communication styles and that not everyone is using their native language. This will save some significant amount of disk space of your HBase cluster. Post is not in keeping with an inclusive and friendly technical atmosphere. In this post I will show how you can compress a table in HBase using Snappy.
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