近期工作须要找一个能使用磁盘存储数据，对写要求比較苛刻，须要每秒达100000TPS，读的时候须要能10000TPS左右，不能占用太多内存。单节点满足这个要求的常见有Redis、Memcached等，可是这个东西太费内存了，代价比較高，不太合适。找来找去，找到Leveldb这个神器了，在写的时候对内存要求不高，读的时候依据性能要求的不同须要相应的内存，假设使用SSD就是完美搭配了。
眼下主要測试写入性能，发现Leveldb还是使用单线程插入最为高效，可是写入性能很惊人。
測试数据：
key=timeline+【0,20亿】
value=128字节
測试环境：
CPU：16核，Mem：32G 磁盘：SSD
写入client：
leveldbjni+1Java thread ，write_buffer_size=512MB
插入20亿条数据的统计数据例如以下：
插入数据过程中，CPU消耗比較小，多的时候在160%，少的时候在80%左右，插入过程中对内存消耗比較小，与设定的512MB比較接近，没有大的变化，load小于1；
插入完毕之后，磁盘文件总个数为14913个，占用磁盘存储空间31G。
全局的avgTps=149594，以插入500W条数据的时候，阶段性的minTps=84631，maxTps=234796。
插入50亿条数据的统计数据例如以下：
插入数据过程中，CPU消耗比較小，多的时候在160%，少的时候在80%左右，插入过程中对内存消耗比較小，与设定的512MB比較接近，没有大的变化，load小于1；
插入完毕之后，磁盘文件总个数为32318个，占用磁盘存储空间77G。
全局的avgTps=158272，以插入1000W条数据的为基准阶段性的minTps=100000，maxTps=232558。
附注(1) ：下面为插入20亿条数据，以每插入500W记录为周期统计的消耗时长、阶段性TPS
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userId=230000000;time=28801;tps=173605
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userId=1255000000;time=30162;tps=165771
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userId=1265000000;time=32130;tps=155617
userId=1270000000;time=30464;tps=164128
userId=1275000000;time=32878;tps=152077
userId=1280000000;time=30705;tps=162839
userId=1285000000;time=30610;tps=163345
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userId=1295000000;time=32086;tps=155831
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userId=1355000000;time=35371;tps=141358
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userId=1545000000;time=30820;tps=162232
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userId=1855000000;time=51382;tps=97310
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userId=2000000000;time=53010;tps=94321
附注(2) ：下面为插入50亿条数据，以每插入1000W记录为周期统计的消耗时长、阶段性TPS、全局TPS记录
time=1350646540415;value length=128;threadcount=1;writeBufferSize=536870912;insertCount=5000000000
userID=10000000;time=:47423;tps= 212765;avgTps=212765
userID=20000000;time=:67479;tps= 149253;avgTps=175438
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附注(3) ：下面为从50亿条记录中以单线程随机读1000W条数据，以每读取5W记录为周期的阶段性使用时长
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