![]() ![]() If during handshake, the remote side advertises support only for version 4, run the exact same protocol as until now. Specificationīump the advertised DEVp2p version number from 4 to 5. The motivation behind doing this at the DEVp2p level (opposed to eth for example) is that it would enable compression for all sub-protocols (eth, les, bzz) seamlessly, reducing any complexity those protocols might incur in trying to individually optimize for data traffic. By enabling compression at the message payload level, we can reduce the previous numbers to 1.01GB upload / 13.46GB download on the main network, and 46.21MB upload / 463.65MB download on the test network. However, most of this data (blocks, transactions) are heavily compressible. An implementation of Googles Snappy compression algorithm, which is designed for speed of compression and decompression. (These numbers are for the slowest inputs in ourbenchmark suite others are much faster. Snappy is a widely used compression algorithm in the Hadoop ecosystem and in database systems and is an option in often-used file formats such as Parquet. On the Rinkeby test network (block 852,000) it’s 55.89MB upload and 2.51GB download. On a single core of a Core i7 processorin 64-bit mode, it compresses at about 250 MB/sec or more and decompresses atabout 500 MB/sec or more. Synchronizing the Ethereum main network (block 4,248,000) in Geth using fast sync currently consumes 1.01GB upload and 33.59GB download bandwidth. After extensive benchmarks, results show that data traffic is decreased by 60-80% for initial sync. Splittablity : If you need your compressed data to be splittable, BZip2, LZO, and Snappy formats are splittable, but GZip is not. It is worth running tests to see if you detect a significant difference. This EIP proposes a tiny extension to the DEVp2p protocol to enable Snappy compression on all message payloads after the initial handshake. Snappy or LZO are a better choice for hot data, which is accessed frequently. S3 does not list files quickly like a Unix-like object store. Small file problem S3 is an object store and listing files takes a long time. 2 3 It does not aim for maximum compression, or compatibility with any other compression library instead, it aims for very high speeds and reasonable compression. The Snappy compression algorithm is used by default in Spark and you should use Snappy unless you have a good reason to deviate from the Spark standard. This results in a massive amount of bandwidth wasted in the entire network, making both initial sync as well as normal operation slower and laggier. Snappy (previously known as Zippy) is a fast data compression and decompression library written in C++ by Google based on ideas from LZ77 and open-sourced in 2011. The base networking protocol (DEVp2p) used by Ethereum currently does not employ any form of compression. ![]()
0 Comments
Leave a Reply. |