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Master-Slave Replication

Every shard contains one or more data nodes. When there are several nodes in it, asynchronous replication is fulfilled. In a shard, there are master node and several slave nodes. Main nodes allows read and write operations. Slave nodes allows read operations.

If slave nodes are off-line, master node can work well as usual. When master node goes down, slave nodes will automatically vote and elect a new master node to cope with write requests.

When broken-down nodes recover or new nodes join a shard, replication will be fulfilled between data nodes in order to guarantee the consistency of master node and slave nodes.

The architechture of a single node is as follow:

In data nodes, activities are controlled by EDU. Every node is a process in operating system. Every EDU is a thread in data nodes. Agent thread copes with user request from outside. Synchoronous agent thread copes with synchoronized transaction within shards in cluster. Shard agent thread copes with synchoronized transaction between shards in cluster.

All write operations are recorded in log cache. Log recorder will asynchronously write them into disk.

User data is written into file system cache pool by agent thread. Then operating system will asynchronously write them into underlying disk.

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  • 2015-02-14

About Us

SequoiaDB is a financial-level distributed database vendor and is the first Chinese database listed in Gartner’s Magic Quadrant OPDBMS report. SequoiaDB has recently released version 3.0.
SequoiaDB is now penetrating the vertical sector Financial Industry quickly and had more than 50 banking clients and hundreds of enterprise customers in industries including government, telecommunication, Internet and IoT.

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