从今天起, 我要认真敲代码. Lorem ipsum dolor sit amet consectetur, adipisicing elit. Debitis repellendus voluptatum, reiciendis rem consectetur incidunt aspernatur eveniet excepturi magni quis sint, provident est at et pariatur dolorem aliquid fugit voluptatem.
从今天起, 我要认真敲代码. Lorem ipsum dolor sit amet consectetur, adipisicing elit. Debitis repellendus voluptatum, reiciendis rem consectetur incidunt aspernatur eveniet excepturi magni quis sint, provident est at et pariatur dolorem aliquid fugit voluptatem.
从今天起, 我要认真敲代码. Lorem ipsum dolor sit amet consectetur, adipisicing elit. Debitis repellendus voluptatum, reiciendis rem consectetur incidunt aspernatur eveniet excepturi magni quis sint, provident est at et pariatur dolorem aliquid fugit voluptatem.
从今天起, 我要认真敲代码. Lorem ipsum dolor sit amet consectetur, adipisicing elit. Debitis repellendus voluptatum, reiciendis rem consectetur incidunt aspernatur eveniet excepturi magni quis sint, provident est at et pariatur dolorem aliquid fugit voluptatem.
从今天起, 我要认真敲代码. Lorem ipsum dolor sit amet consectetur, adipisicing elit. Debitis repellendus voluptatum, reiciendis rem consectetur incidunt aspernatur eveniet excepturi magni quis sint, provident est at et pariatur dolorem aliquid fugit voluptatem.
在平时工作中,难免会遇到把 XML 作为数据存储格式。面对目前种类繁多的解决方案,哪个最适合我们呢?在这篇文章中,我对这四种主流方案做一个不完全评测,仅仅针对遍历 XML 这块来测试,因为遍历 XML 是工作中使用最多的(至少我认为)。 预 备 测试环境: AMD 毒龙1.4G OC 1.5G、256M DDR333、Windows2000 Server
Netty 3.x的user guide里FrameDecoder的例子,有几个疑问:
1.文档说:FrameDecoder calls decode method with an internally maintained cumulative buffer whenever new data is received.
为什么每次有新数据到达时,都会调用decode方法?
2.Dec
hive> select * from t_test where ds=20150323 limit 2;
OK
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
问题原因: hive堆内存默认为256M
这个问题的解决方法为:
修改/us
Simply do the following:
I. Declare a global variable:
var markersArray = [];
II. Define a function:
function clearOverlays() {
for (var i = 0; i < markersArray.length; i++ )
Quick sort is probably used more widely than any other. It is popular because it is not difficult to implement, works well for a variety of different kinds of input data, and is substantially faster t