Sending and Receiving Binary Data
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Binary encoding formats promise significant performance improvements for communications -intensive apps. You forgot to provide an Email Address. This email address is already registered. You have exceeded the maximum character limit. Please binary data using json a Corporate E-mail Address.
First up, none of these formats are protocols. A protocol is a means of describing an communication interaction.
Each of the individual messages used in binary data using json protocol can be encoded or decoded in a particular format by a codec. Text-based encodings are typically 10x slower than the less efficient binary codecs such as GBP. Does this kind of efficiency just reduce latencyor do binary data using json see a role from more efficient cloud usage binary data using json moving message parsing from JSON to these more efficient binary formats?
This increase in efficiency results in direct reductions in latency, increases in throughput, binary data using json efficiency gains. We can also see bandwidth reduction due to more compact encodings. Binary data using json of the biggest wins can be on mobile devices where the battery usage is significantly reduced. If you profile binary data using json typical business application you will likely be shocked how much CPU time and memory is dedicated to protocols and codecs relative to the business logic.
It seems our binary data using json are mostly doing protocol handling binary data using json encoding and as a side effect do a little business logic. What are the types of applications where binary enconding format efficiency might translate into the most significant gains or reduce the cloud instance size required for a particular type of application?
Any application that does a significant amount of communication or encoding, such as microservices or monitoring data. Text-based logging is an abomination. What are the limitations of binary encoding formats, and particularly SBE? Are there places where it is not as good a fit? The main limitation is lack of understanding and experience in the development community. We spend so much of our time debugging all types of applications. Text encodings are easier for those inexperienced with binary encodings.
However, with experience, binary encodings become easy to work with and in many cases are even simpler to debug because there are less edge cases. In the OSI layer model these encodings are Layer 6, i.
SBE has the restriction that messages with repeating groups must be accessed in order versus arbitrary access. Some find this restricting. I find this is just a matter of development discipline. Arbitrary memory access does not play well with the prefetchers in a CPU cache subsystems.
CPUs love predictable patterns. REST is a Layer 7 protocol and does not compare. Lack of experience and awareness. The cool kids are mostly using JSON these days. This is such a shame because it is such a poor encoding. It has no types and is very inefficient. Try them on a small project and build experience. Then in time write tools to help with debugging such as Wireshark dissectors and viewing tools. The viewing tools do not need to be complex; simple command line tools can be enough.
Learn the difference between encoding and decoding. What is binary and when is a binary system useful? DevOps automation tools and Java combine to speed continuous delivery. By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having binary data using json personal data transferred to and processed in the United States.
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Submit your e-mail address below. We'll send you an email containing your password. Your password has been sent to: Please create a username to comment. Have you experienced performance improvements by switching to a binary encoding format for your data exchanges?
There is a reason to use text based formats which conspicuously has not been mentioned. The reason text formats are used is clearly not for raw performance, but for interoperability. Despite the claim above, a lot of business applications wouldn't benefit massively from a binary format because comms isn't a big part of the overall application. However, the example above highlights financial transactions, which like some other activities IS very performance sensitive, so its appropriate to use binary.
However, in a much larger portion of the computing world, I would argue that reusability, computer language-agnostic formats provide a different kind of benefit. I'd compare this to an argument about source code legibility vs highly optimized performance sensitive code - one is not the other. There are needs for both, but don't claim the worlds problems will be solved by this magic fix-all solution.
This is simply another tool to be used for the right application and its NOT new - look up cobol copybooks and C structs. In the "old days" where processing power and storage were scarce resources, everything had to be binary or suffer unacceptable latency and expensive storage consequences. As pmaster pointed out, there are design choices that are driven by the application and there is no "one method fits all" answer.
This is blanket statement. Performance is not always the key to designing system information format. There are places like finance operations where binary formats may not be acceptable because they have issues with readbility and maintenance and tolerance for loss. Simple question to ask: How do you know what financial transaction was corrupt when passed between systems if your binary message is trunkated and it cannot be normalized to readable format?
You can always scale differently for performance, but not neccessarily binary data using json formatting information. Also one may consider BSON.