(1) Major Compaction: Read through every one of the static knowledge from disk, merge it While using the dynamic info after which produce back again to disk as new static facts. That is the most costly algorithm and is typically used following DDL Procedure.
From OceanBase two.0, it supports hybrid storage design. Attributes belong to a similar tuple are saved in the same block, although the tuples in the identical block are compressed and stored in columnar product.
MySQL creates a whole new clustered index by copying the present data from the first desk to A brief table that has the specified index structure. After the facts is totally copied into the short-term desk, the original desk is renamed with a special short term table name.
OceanBase supports materialized view. OceanBase can be a professional DBMS mostly serving corporate clientele with huge-scale information storage and large QPS, so it implements materialized watch to raise throughput and decrease latency so as to decrease the quantity of servers needed(preserve components cost).
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In the very low peak interval at night or if the size of MemTable reaches the brink, OceanBase will merge the MemTable into Oracle转OceanBase SSTable(static knowledge in disk) employing considered one of next merge algorithms:
OceanBase supports both vertical and horizontal parallelism, which boosts throughput and lessens latency.
A new row Variation is made after each ALTER TABLE ... ALGORITHM=Fast operation that adds one or more columns, drops a number of columns, or provides and drops a number of columns in the identical operation.
OceanBase supports typical SQL question interface, nevertheless you can find slight differences in OceanBase implementation.
OceanBase also supports secondary index. It combines index keys and desk Main important for secondary index.
OceanBase supports equally vertical and horizontal parallelism, which raises throughput and minimizes latency.
For each database instance, it sets a single server node as active root server to deliver root service like checking the health of each of the participant nodes. The foundation services is answerable for load equilibrium, data regularity, error Restoration, etcetera. If this active Oracle转MySQL root server shuts down, OceanBase quickly encourages a single standby root server to a brand new Lively root server.
OceanBase supports both equally vertical and horizontal parallelism, which boosts throughput and lowers latency.
If an algorithm besides ALGORITHM=Quick is applied, facts is reorganized substantially, making it a pricey operation.