Getting My DDL迁移/转换 To Work

(1) Main Compaction: Study many of the static details from disk, merge it While using the dynamic knowledge and then produce back again to disk as new static info. That is the costliest algorithm and is typically made use of soon after DDL operation.

Through the viewpoint of resource management, Each and every database instance is considered as a tenant in OceanBase. Each and every tenant is allotted that has a unit pool that contains units. Each individual unit is a group of computation and storage resource on ObServers. Every single tenant has at most 1 unit on a single ObServer.

OceanBase supports equally vertical and horizontal parallelism, which raises throughput and reduces latency.

public void append(T form, java.lang.String ddl) Appends the provided ddl of specified kind. If statements of that variety exist already During this DDL item it would be the last of them to get executed.

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For index assortment, as OceanBase splits desk into partitions, it supports local indexing for regional partitions and worldwide indexing for world-wide partitions.

Right after compaction the merged Zone warms the cache. When having to merge knowledge throughout peak period, OceanBase adopts this algorithm. This algorithm is orthogonal to slight compaction and major compaction and may be utilized together with one of these.

OceanBase works by using column compression. It implements quite a few encoding algorithms and it instantly chooses the most suitable just one for every column. It adopts column compression to leverage knowledge similarity, like similar info kind, exact value selection, and so on.

OceanBase supports regular SQL query interface, though you will discover slight distinctions in OceanBase implementation.

OceanBase adopts shared-nothing system architecture. It suppliers reproduction of each and every partition on a minimum SQLShift vs ora2pg of 3 server nodes in numerous server clusters. Just about every server node has its possess SQL execution motor and storage motor. The storage engine only accesses the neighborhood facts on that node. The SQL motor accesses the global schema and generates the dispersed query plan. Query executors check out the storage engine of each node to distribute and Collect information among them to execute the query.

The web performance enhancements that apply to functions on secondary indexes tend not to apply to the principal critical index. The rows of the InnoDB table are saved inside a clustered index organized according to the key essential, forming what some databases systems contact an “index-organized table”.

Non-partitioning on the internet ALTER TABLE operations on partitioned tables Adhere to the same procedures that implement to regular tables.

OceanBase also supports secondary index. It brings together index keys and table Key critical for secondary index.

OceanBase supports common SQL question interface, although you'll find slight dissimilarities in OceanBase implementation.