high performance java persistence

14 skills for high-performance Java persistence, high-performance java A high-performance data

enterprise applications to their specific business needs.Database replication and sharding are good ways to improve throughput, and you should be able to leverage these tested architectural patterns to extend your enterprise applications.ConclusionThe high-performance data access layer must respond to the underlying database system. Understanding the internal workings of relational databases and the data a

RexDB is an open source data persistence layer Framework (Tengyun technology ty300.com) written in the Java language. It provides functions such as query, update, batch processing, invocation, (JTA) transaction, data source management, etc., which can replace MyBatis, hibernate as the core ORM framework of the system (Basic tutorial Qkxue.net).REXDB provides a tool-style interface that does not require a ma

[constants.batch_ins_count][]; private int offset=0; public byte[][] Getmsgs () { return msgs; } public void Addmsg (byte[] msg) { msgs[offset++]=msg; } public int size () { return offset; } public void Clear () { offset=0; Lastflushtime=system.currenttimemillis (); } Public Boolean Needflush () { return (System.currenttimemillis ()-lastflushtime > Constants.max_buffer_time) offset>0; } } The actual test and on-line effect i

the data persistence layer, and so on, reduce the system coupling, improve the system operation efficiency and maintainability. All levels of the common code are abstracted out (such as adding and removing changes), so that the hierarchy of other classes inherit, greatly reducing code redundancy. High system security, add anti-SQL injection mechanism and so on. All the code is formatted, comments are compr

http://blog.csdn.net/nicajonh/article/details/54985352 1. Background 1.1. Amazing performance Data A friend of the Circle recently told me through DMS that they implemented a cross node remote service invocation of 10W TPS (1K complex Pojo objects) by using the NETTY4 + thrift compression binary codec technique. Compared to the traditional communication framework based on Java serialization +bio (synchro

milliseconds units, orderly, so that no data loss system data is incorrect.After checking the data, there are two kinds of solutions for high concurrency, one is to use the cache, the other is to use to generate static pages, and to optimize our writing code from the most basic places to reduce unnecessary waste of resources: (1. Do not frequent new objects, use singleton mode for classes that only need to have one instance in the entire application.

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HotSpot VM Options2.Troubleshooting Guide for Java SE 6 with HotSpot vmtroubleshooting Guide to Java SE 6 with HotSpot VMIn addition, I believe that not everyone is facing these JVM parameters every day, if you forget those key parameters you can enter Java-x (capital X) to prompt. The parameters of jdbc for MySQL JDBC are also described in previous articles

1th Course Introduction and construction of Project framework 1-1 Java High concurrency Mall Second kill optimization Guide 1-2 Project Environment Building (ECLIPSE) 1-3 Project Environment Building (IDEA) 1-4 integrated mybatis 1-5 installing Redis 1-6 integrated Redis on 1-7 integrated Redis under 1-8 integrated Redis 2nd Chapter Implementation of user login and distributed session function 2-1

IBM DeveloperWorksLinks: https://www.ibm.com/developerworks/cn/java/j-lo-javawebhiperf1/Copyright belongs to the author. Commercial reprint please contact the author for authorization, non-commercial reprint please specify the source.image CompressionReduce the size of the picture, you can significantly improve performance, and for the existing picture, to reduce the size of the picture, can only change the

Analysis system bottleneck point and the occurrence of crash.5th page level high concurrent kill optimization (Redis cache + static separation)Use Redis for page caching and cache kill list and details, object cache, commodity details page and seconds kill, product details static, seconds kill static resource optimization (to achieve front-end separation), CDN and DNS optimization, etc.6th. Service level high