[Sequoia] SequoiaDB database SequoiaDB Sequoia database version v3.4 released

Late autumn, SequoiaDB database giant sequoias in late autumn to give us "a fire."
SequoiaDB v3.4 released it!

Distributed Transaction scene performance boost
SequoiaDB Sequoia database version 3.4 officially released, v3.4 of the most important features is to enhance the performance of distributed transaction scene.
A comparison of the large version, SequoiaDB v3.4 scene in a distributed transaction, read and write performance improvements of up to 30% performance increase updated 1 times -1.5 times the query performance than the v3.2 upgrade more than 1.5 times.


Performance comparison a schematic old and new versions

For distributed transaction scenario, 3.4 version upgrade their technology mainly in the following:

Improved 2PC Algorithm

Distributed Intelligent arbitration algorithm affairs. 2PC distributed transaction is submitted to arbitration algorithm to increase intelligence, focused on solving the 2PC algorithm "In-doubt Transaction" abnormal state, to achieve the database in an extreme scenario for the multi-partition transaction intelligent arbitration to ensure distributed transaction strong consistency.

Latch-less Memory Model

To achieve multi-level memory pool and no lock memory model. Database cluster resource pool of memory, multi-level memory pool management, session access memory access achieved 99.99% hit rate, lock-free access memory under high concurrency OLTP scenarios, the system CPU usage increased by 10%. SequoiaDB v3.4 also provides online and offline monitoring memory memory analysis capabilities, automated generation memory analysis report.

Improved Raft Algorithm

Raft breakthrough algorithm limits, to achieve full concurrency synchronization. SequoiaDB v3.4 introduced conflict arbitration mechanisms breakthrough synchronous serial plight only when there is a unique key constraint Raft algorithm to achieve synchronization between concurrent copy full record level, significantly increasing the efficiency synchronous copy.

Improved Full-text Search Algorithm

全文索引性能优化。优化全文索引连接模型，降低连接时间和内存使用率，对命中全文索引的count 操作，直接通过索引计算结果，大幅提升count 数据读性能。

目前，巨杉数据库针对金融交易场景，巨杉数据库已经规模应用在金融客户的核心交易、核心下移、关系型数据库替换等场景中，应用业务包括信用卡、网银、贷款等，在金融交易场景的应用，领先业界新一代分布式数据库。

SequoiaDB v3.4 功能提升
这次新版本全面提升金融级交易场景功能与性能，在分布式事务、数据一致性，并发CURD性能以及SQL兼容能力方面都做了深度优化。另外，为了满足金融级交易场景对稳定性严苛的技术要求，SequoiaDB 还升级了混沌测试框架，集群稳定性得到极大提升。

SequoiaDB v3.4的其他主要更新项如下：

存储引擎

事务Auto-commit下推优化，将事务二阶段提交简化为一阶段提交，提升事务性能

事务一致性确认机制

实现多层级内存池和无锁内存模型

全并发同步，提升副本数据同步性能

提供增量数据归档、同步能力

通过开启日志的全量模式和时间模式，可以实现按天，或指定时间对增量数据进行抽取，转换和归档，并将增量数据导入到其它ODS系统。

全文索引支持数组类型

全文索引支持 $or 和 $not 操作

全文索引性能大幅提升

访问计划增加自动过期清理，并实现对 $in 操作的参数化缓存能力

插入数据支持重复键替代

索引支持 not null 约束

优化事务监控性能，实现无锁事务监控机制，减少事务监控管理对外部业务的性能影响

SQL引擎

优化高可用能力，实现SQL引擎横向扩容

算子下推存储节点，精确计算，提升网络带宽利用率

事务Auto-commit下推存储引擎，简化事务二阶段提交为一阶段提交，提升事务性能

支持NO TRANSACTION模式，提升初始化数据场景性能

优化DDL操作，包括rename table，modify field，add primary key、index等操作

全面兼容 MariaDB 语法

大对象引擎

The S3 object storage interface compatible

Large Object Storage supports automatic partitioning in chronological order, improve access and management capabilities for large objects, you can quickly archive and cleanup time

Large Object filters and filter support precise match

Ease of use

Support capacity specified node re-election

Provides current status and monitoring information on SQL syntax to query the database

Provide slow query performance monitoring and analysis capabilities

To further improve ease of use, Sequoia tool matrix officially launched
along SequoiaDB released v3.4, the giant fir database also recently introduced a new generation of giant fir database tool matrix, and plans to release SequoiaPerf performance diagnostic tools in the near future.


SequoiaPerf upcoming performance tools

Rich operation and maintenance management tool, the user is using a real database the most intuitive and friendly feelings, giant sequoias database will continue to remain innovative, user community to listen to the voice of the user-oriented development, operation and maintenance, performance tuning tools and best practices do the best.

Currently, the database giant fir large banking customers has exceeded 50, including the core trading application scenarios, data sets, content management and real-time data services. In the future, we will remain self-development and innovation, in a distributed database technology and applications in a variety of industries, to stay ahead.

Go to the official website to download the database giant fir Center experience SequoiaDB V3.4

http://download.sequoiadb.com/cn/

To learn more, please click " here "