使用iBatis插入数据速度的测试性能测试时遇到一个问题，独立的线程只负责数据入库，但测试发现数据入库速度
使用iBatis插入数据速度的测试
性能测试时遇到一个问题，独立的线程只负责数据入库，但测试发现数据入库速度比产生的慢，导致数据堆积，虚拟机内存使用完，于是做一个测试，看看到底入库的速度有多快。
测试关键代码：
private static void executeBatch() throws SQLException{ long beginTime = System.currentTimeMillis(); sqlMapClient.startBatch(); for (ActiveRecord activeRecord : activeRecordList) { sqlMapClient.insert("insert", activeRecord); } sqlMapClient.executeBatch(); System.out.printf("%d records:executeBatch finished in %d milliseconds from the begining\r\n", activeRecordList.size(), System.currentTimeMillis() - beginTime);}private static void execute() throws SQLException{ long beginTime = System.currentTimeMillis(); for (ActiveRecord activeRecord : activeRecordList) { sqlMapClient.insert("insert", activeRecord); } System.out.printf("%d records:execute finished in %d milliseconds from the begining\r\n", activeRecordList.size(), System.currentTimeMillis() - beginTime);}测试结果：
# java -classpath ./:ibatis/ibatis-2.3.4.726.jar:ibatis/ojdbc5.jar ibatis.ActiveRecordTest
1 records:execute finished in 30 milliseconds from the begining
1 records:executeBatch finished in 12 milliseconds from the begining
10 records:execute finished in 108 milliseconds from the begining
10 records:executeBatch finished in 111 milliseconds from the begining
100 records:execute finished in 935 milliseconds from the begining
100 records:executeBatch finished in 1184 milliseconds from the begining
1000 records:execute finished in 9695 milliseconds from the begining
1000 records:executeBatch finished in 9344 milliseconds from the begining
10000 records:execute finished in 95788 milliseconds from the begining
10000 records:executeBatch finished in 82613 milliseconds from the begining
结果分析：
从10000条记录插入耗时82613ms计算，大约每秒钟可入库120条记录，因为这个测试代码只做了这一件事，所以正式业务代码的效率还会比这个低，我们遇到的问题刚好是用户行为轨迹的业务，业务要求的TPS是90，相当于每秒钟最少产生90条记录，加上业务代码的逻辑，已经比较接近iBatis入库速度的上限。
建议：
如果入库的数据量接近或超过iBatis的上限，可以考虑将数据分批，多个线程占用单独的数据库连接进行入库。
