5 Easy Facts About 跨平台数据库对象迁移 Described
Will get a copy of this DDL object with all the statements prompted as suitable for the command line Instrument in the native database.OceanBase adopts MVCC to complete concurrency Regulate. Should the Procedure requires one partition or multiple partitions on one server node, it'll read through the snapshot of that server node. If the operation consists of partitions on many server nodes, it executes dispersed snapshot read.
OceanBase also supports secondary index. It brings together index keys and table Principal vital for secondary index.
community void append(T style, java.lang.String ddl) Appends the offered ddl of specified variety. If statements of that kind exist already During this DDL item it would be the last of them for being executed.
(1) Significant Compaction: Read through all the static information from disk, merge it With all the dynamic knowledge and then create back again to disk as new static knowledge. This is the most expensive algorithm and is often utilized following DDL operation.
In the lower peak period in the evening or once the size of MemTable reaches the threshold, OceanBase will merge the MemTable into SSTable(static details in disk) applying amongst adhering to merge algorithms:
After compaction the merged Zone warms the cache. When being forced to merge info during peak period, OceanBase adopts this algorithm. This algorithm is orthogonal to minimal compaction and 系统函数适配/兼容 major compaction and should be utilized together with one of them.
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For index variety, as OceanBase splits table into partitions, it supports regional indexing for nearby partitions and worldwide indexing for world partitions.
public DDL() Make a new DDL object that is not connected to any one item. This is mostly applied to be a guardian when appending quite a few statements collectively.
OceanBase also supports secondary index. It combines index keys and desk Most important key for secondary index.
OceanBase makes use of column compression. It implements a number of encoding algorithms and it mechanically chooses the best suited one for each column. It adopts column compression to leverage info similarity, which include similar data sort, exact same price array, and so on.
OceanBase uses physiological logging to records all the modification. Physiological targets around the modification on Every one page without the need of specifying the in-depth data Group throughout the webpage. OceanBase takes advantage of Paxos consensus algorithm to synchronize log replicas on different server nodes.
1.0), as Every single row Model involves Oracle数据库迁移 added Place for desk metadata. In the event the row Model limit is reached, Insert COLUMN and Fall COLUMN functions utilizing ALGORITHM=Fast are rejected by having an mistake concept that recommends Oracle数据库迁移 rebuilding the desk using the COPY or INPLACE algorithm.