Optimization and Challenges Brought by the Sharding of the Osasion Chain-end Database
With the iterative upgrade of volume and application requirements, the public chain must deal with data, and its fragmentation will become the preferred method. Sharding will be more friendly to users who use data, but its underlying blockchain storage and chain-end data interaction are not the same as traditional Internet data processing methods. Therefore, the optimization of data management and improved access will become a problem that must be solved. Then a single data set is formed by a single node and the original code repository, and becoming a node fragment will enhance the experience. However, the communication and synchronization time difference of single-node shards faces technical difficulties and pressures, but the essential database stores information such as transaction records. Fragmentation solves the effectiveness and efficiency of data access, and is not related to Osasion’s mining and economic models.
Data growth applications or websites need to be accompanied by data expansion to adapt to the increase in traffic. Extend the way to ensure data security and integrity, which is very important for data-driven applications and websites.
The sharding of the database stored on the chain can help promote horizontal scaling, also known as scaling out. Horizontal scaling is adding more machines to the existing stack to spread the load, allowing more traffic and faster processing. This is usually in contrast to vertical scaling, which is also called scaling up, which refers to upgrading the hardware of an existing server, usually adding more memory or CPU.
It is relatively simple to run a relational database on a single machine and upgrade its server resources as needed to scale up. But in the end, any non-distributed database will be limited in storage and computing capabilities, so the database can be freely expanded horizontally, making the architecture more flexible and adaptable.
Another reason for choosing a sharded database architecture is to speed up the query response time. When submitting a query to a database that is not yet fragmented, you must first search each row in the queried table before you can find the result set you are looking for. For applications with large monolithic databases, queries can become extremely slow. However, by dividing a table into multiple, the query process will traverse fewer rows and return the result set much faster.
Because the sharding mechanism divides the data set of a single node into a single shard, and can calibrate and verify the original database, the transaction data in the transmission conversion is compressed in a single table in shards, and is not sorted by a unified time axis. There are cases where transaction data is missing on the display side. Take the UORA balance rewarded by staking as an example, there will be missing situations in the query transaction data, but the transaction amount on the chain will not be missed if the non-chain end communication is not calibrated. If it exists, then the corresponding error message will also be uploaded to the chain, that is, similar to the AUC mining, the link communication and transaction processing cache is stuck, so a certain partial value is also in a reasonable range, and the performance of the public chain Volatility is the stable output value of TPS/QBS.
Sharding can also make applications more stable and reliable by reducing the impact of outages. If an application or website relies on an unsharded database, the downtime may render the entire application unavailable. However, for sharded databases, downtime may only affect a single shard. Even though this may prevent some users from using some functions of the application or website, it will still be less than the impact of the entire database crash.
Osasion’s sharding adoption is a solution commonly used in the public chain industry, and the problems we encounter are also industry problems. As technical capabilities and service providers passively provide technical modules, future data volumes will be processed and stored at a higher level, bringing a better interactive experience.
Osasion public chain is committed to building a distributed financial ecosystem on the decentralized asset consensus chain.The first MPOS consensus mechanism will create a distributed and decentralized financial empowerment network that is jointly built and shared by the main body of consensus. Financial innovation at the protocol layer will promote the fairness and scalability of the encrypted asset world.Osasion integrates consensus to build assets. Through a new ecological digital economy of distributed governance, it fits the core concept of decentralized finance and is committed to building an asset consensus public chain that benefits tens of millions of consensus nodes.
Osasion public chain created the world’s first MPOS (Multiple consensus impower single sign-on Proof of stake), and established a completely decentralized distributed node autonomous system through 25 million nodes.The joint construction of the overall public chain nodes allows everyone to participate and reward fairness and justice.The design of the node puts users in the network, and Osasion’s nodes will no longer be users but participants in the main body of the public chain, enjoying the rights of users and owners.