BeetlSQL 3.23.11 发布，SQL 查询性能提高 40%~300%

• 性能优化:SQL查询后结果映射到Java Entity，性能至少提供40%，有些场景提高300%
• 更好的支持动态表，向操作普通POJO一样操作动态表,比使用Map更方便
• 代码生成支持指定父类
• SQ防火墙的性能部分优化

性能优化结果:

性能优化办法:

优化了Java反射调用，使用生成字节码直接调用，参考BeanASMPerfTest.java, myasm 性能非常接近手写的代码（直接调用）,远远高于反射调用，也高于使用其他字节码增强工具reflectAsm

 * BeanASMPerfTest.direct(直接调用)         thrpt    3  3597282.120 ± 2031070.301  ops/ms
 * BeanASMPerfTest.myasm (字节码调用)       thrpt    3  1889599.007 ± 1013919.850  ops/ms
 * BeanASMPerfTest.propertySet(反射调用)    thrpt    3     3462.095 ±    2748.584  ops/ms
 * BeanASMPerfTest.reflectAsm(字节码工具)   thrpt    3    18580.151 ±   13286.590  ops/ms

动态表支持：方便的通过BeetlSQL访问动态表

		SQLManager sqlManager = getSQLManager();
		int max = 5;
		//创建5个表
		for(int i=0;i<max;i++){
			String dml="create table my_table"+i+"(id int NOT NULL"
				+ ",name varchar(20)"
				+ ",PRIMARY KEY (`id`)"
				+ ") ";
			sqlManager.executeUpdate(new SQLReady(dml));
		}

        // 配置加载类，使用默认的BassEntity，也可以使用任何类作为父类,比如MyOfficeEntity
		DynamicEntityLoader<BaseEntity> dynamicEntityLoader = new DynamicEntityLoader(sqlManager);

		for(int i=0;i<max;i++){
            //Class<? extends MyOfficeEntity> c = dynamicEntityLoader.getDynamicEntity("my_table"+i,MyOfficeEntity.class);
			Class<? extends BaseEntity> c = dynamicEntityLoader.getDynamicEntity("my_table"+i);
			long  count = sqlManager.allCount(c);
			System.out.println(count);
		}


		for(int i=0;i<max;i++){
			Class<? extends BaseEntity> c = dynamicEntityLoader.getDynamicEntity("my_table"+i);
			BaseEntity obj = c.newInstance();
			obj.setValue("id",1);
			obj.setValue("name","hello");
			sqlManager.insert(obj);
		}

性能增速扩展包

<dependency>
    <groupId>com.ibeetl</groupId>
    <artifactId>sql-accelerator</artifactId>
    <version>3.23.11-RELEASE</version>
</dependency>

动态表支持扩展包

<dependency>
    <groupId>com.ibeetl</groupId>
    <artifactId>sql-dynamic-table</artifactId>
    <version>3.23.11-RELEASE</version>
</dependency>

SQL防火墙扩展包

<dependency>
    <groupId>com.ibeetl</groupId>
    <artifactId>sql-firewall</artifactId>
    <version>3.23.11-RELEASE</version>
</dependency>

    BeetlSQL 自主研发自 2015 年，目标是提供开发高效，维护高效，运行高效的数据访问框架，它适用范围广，定制性强，写起数据库访问代码特别顺滑，不亚于 MyBatis。你不想写 SQL 也好，或者想更好地写 SQL 也好，BeetlSQL 都能满足这要求，目前支持的数据库如下

• 传统数据库：MySQL (包括支持 MySQL 协议的各种数据库), MariaDB ,Oralce ,Postgres (包括支持 Postgres 协议的各种数据库), DB2 , SQL Server ，H2 , SQLite , Derby ，神通，达梦，华为高斯，人大金仓，PolarDB，GBase8s，GreatSQL 等
• 大数据：HBase，ClickHouse，Cassandar，Hive,GreenPlum
• 物联网时序数据库：Machbase，TD-Engine，IotDB
• SQL 查询引擎：Drill,Presto，Druid
• 内存数据库：ignite，CouchBase

阅读文档 源码和例子 在线体验 多库使用 性能测试

Benchmark                         Mode  Cnt    Score     Error   Units
JMHMain.beetlsqlComplexMapping   thrpt    5  240.875 ±  26.462  ops/ms
JMHMain.beetlsqlExecuteJdbc      thrpt    5  318.344 ±  15.416  ops/ms
JMHMain.beetlsqlExecuteTemplate  thrpt    5  268.337 ±  16.458  ops/ms
JMHMain.beetlsqlFile             thrpt    5  266.299 ±  12.910  ops/ms
JMHMain.beetlsqlGetAll           thrpt    5   13.444 ±   0.110  ops/ms
JMHMain.beetlsqlInsert           thrpt    5  139.848 ±  67.006  ops/ms
JMHMain.beetlsqlLambdaQuery      thrpt    5  196.197 ±  10.572  ops/ms
JMHMain.beetlsqlOne2Many         thrpt    5  162.912 ±   7.643  ops/ms
JMHMain.beetlsqlPageQuery        thrpt    5  159.421 ±   9.474  ops/ms
JMHMain.beetlsqlSelectById       thrpt    5  259.260 ±  12.983  ops/ms
JMHMain.easyQueryComplexMapping  thrpt    5   70.631 ±   9.350  ops/ms
JMHMain.easyQueryExecuteJdbc     thrpt    5  251.553 ±  13.124  ops/ms
JMHMain.easyQueryGetAll          thrpt    5   15.556 ±   0.919  ops/ms
JMHMain.easyQueryInsert          thrpt    5   94.289 ±  46.075  ops/ms
JMHMain.easyQueryLambdaQuery     thrpt    5  116.482 ±   6.220  ops/ms
JMHMain.easyQueryOne2Many        thrpt    5   93.552 ±   7.485  ops/ms
JMHMain.easyQueryPageQuery       thrpt    5   79.880 ±   4.101  ops/ms
JMHMain.easyQuerySelectById      thrpt    5  118.695 ±   5.622  ops/ms
JMHMain.flexGetAll               thrpt    5    2.629 ±   0.175  ops/ms
JMHMain.flexInsert               thrpt    5   69.733 ±   9.791  ops/ms
JMHMain.flexPageQuery            thrpt    5   44.935 ±  13.077  ops/ms
JMHMain.flexSelectById           thrpt    5   69.332 ±   4.738  ops/ms
JMHMain.jdbcExecuteJdbc          thrpt    5  692.908 ±  29.405  ops/ms
JMHMain.jdbcGetAll               thrpt    5   41.017 ±   0.999  ops/ms
JMHMain.jdbcInsert               thrpt    5  235.220 ± 170.271  ops/ms
JMHMain.jdbcSelectById           thrpt    5  685.740 ±  21.861  ops/ms
JMHMain.jpaExecuteJdbc           thrpt    5   67.159 ±   6.612  ops/ms
JMHMain.jpaExecuteTemplate       thrpt    5   75.465 ±   4.267  ops/ms
JMHMain.jpaGetAll                thrpt    5    5.279 ±   0.542  ops/ms
JMHMain.jpaInsert                thrpt    5   63.982 ±  10.347  ops/ms
JMHMain.jpaOne2Many              thrpt    5  105.669 ±   6.529  ops/ms
JMHMain.jpaPageQuery             thrpt    5   66.304 ±   4.215  ops/ms
JMHMain.jpaSelectById            thrpt    5  344.930 ±  15.419  ops/ms
JMHMain.mybatisComplexMapping    thrpt    5  114.651 ±   7.607  ops/ms
JMHMain.mybatisExecuteTemplate   thrpt    5   44.020 ±   2.327  ops/ms
JMHMain.mybatisFile              thrpt    5   41.459 ±   1.880  ops/ms
JMHMain.mybatisGetAll            thrpt    5    4.961 ±   0.197  ops/ms
JMHMain.mybatisInsert            thrpt    5   43.624 ±   5.580  ops/ms
JMHMain.mybatisLambdaQuery       thrpt    5    9.141 ±   1.295  ops/ms
JMHMain.mybatisPageQuery         thrpt    5   17.451 ±   1.409  ops/ms
JMHMain.mybatisSelectById        thrpt    5   43.716 ±   4.768  ops/ms
JMHMain.woodExecuteJdbc          thrpt    5  106.223 ±  88.136  ops/ms
JMHMain.woodExecuteTemplate      thrpt    5  120.959 ±   5.220  ops/ms
JMHMain.woodFile                 thrpt    5  123.587 ±   9.268  ops/ms
JMHMain.woodGetAll               thrpt    5    1.961 ±   0.158  ops/ms
JMHMain.woodInsert               thrpt    5  101.279 ±  50.068  ops/ms
JMHMain.woodLambdaQuery          thrpt    5  128.158 ±   7.174  ops/ms
JMHMain.woodPageQuery            thrpt    5  240.657 ±  13.274  ops/ms
JMHMain.woodSelectById           thrpt    5  125.943 ±   5.696  ops/ms