Feb 27, 2020 02:30 UTC
Feb 27, 2020 at 02:30 UTC
EOS To Release Solution For The Network Resources Economy
Daniel Larimer, CTO of the development corporation Block.one that works behind the EOS.IO (EOS) blockchain, affirmed that his team is taking a shot at a best in class solution that tends to the issues of the system resources economy.
DISK Rather Than Contracts
3 days back, extremely important advancement in unique EOS.IO repositories was unveiled, yet has stayed unverified. Presently, the wait is finished. Daniel Larimer has cleared things up.
#eosio will soon have a disk backed key/value store as an option for contracts that can trade cpu time for storage capacity. Based on rocks db blockchain state can now scale far beyond limits of ram. This is especially useful for large datasets that are infrequently accessed.
— Daniel Larimer (@bytemaster7) February 25, 2020
Another system optimization feature called DISK is to be discharged withing the coming weeks. Within its structure, a few pieces of information transferred into the EOS system will be put away in isolated databases. This solution will permit emptying of smart contracts and, in this manner, save RAM limit.
RocksDB, a cutting-edge database software, will be utilized to accomplish this objective. It will be substantially more remarkable and valuable than the LevelDB typically utilized in blockchain-powered frameworks. For the most part, DISK will store the information that isn’t regularly reached and updated. Along these lines, Mr. Larimer anticipates its utilization with ‘huge datasets that are rarely accessed.’
Long Walk Ahead
Mr. Larimer is cautious about the time frames for the up and coming update. As indicated by him, the underlying alpha releases will be supported by RAM and nodes will voluntarily upgrade. The API instruments for developers will be settled in two or three weeks.
Nonetheless, the last undeniable switch for RocksDB may take months, so that release is to follow this year. When this feature is employed, the EOS blockchain state will ‘scale a long ways past breaking points of RAM.’