让我看一下你的地图。
你不能坐在我的地图上。
Well, let me check my map to be sure.
让我看看地图确认一下。
Did you tell your friends about my map?
你跟你朋友说了我的图吗？
我的地图在哪儿？
And you can see my map if I get it up here.
请问你们可以看到我的数据图么？
我的地图哪里去了？
我的地图哪里去了？
It's my map, so I know where they all came from.
这是我的地图，所以我知道它从哪来的。
These areas are shown as flooded on my map, where clearly they are not in danger.
我的地图上显示这些地区被淹没了，实际上根本不可能。
I finally chose a municipal campground in a town marked Summerland on my map.
我终于选择了一个城市露营在一个小镇标志着夏我地图。
QQ blog without my map, I want to upload video, how come every day always an error.
我的QQ博客在没有图了，我要上传视频，怎么老是出现错误每天在来。
I confiscated my map and also headed off, only to find at the next stop that my lighter had gone missing.
我把地图收了回来，到了下一站才发现打火机丢了。
My map function is straightforward - it simply grabs the user_name property of all documents passed to it.
我的map函数是很简单的—它只获取传递给它的所有文档的user_name属性。
This by the way is the portrait of the world; It looks a lot like my map of the Ancient Near East, but it's not.
这也就是世界的图景;,就像我画的古代近东的地图，但它不是那样的。
Now that I've coded my map and reduce implementations, all that's left to do is link everything up into a Hadoop Job.
现在我已经对我的map和reduce实现进行了编码，接下来所要做的是将所有这一切链接到一个HadoopJob。
While a group of people gathered around a man fixing a water main, offered advice. Later, a dog tried to steal my map.
一群人围观一个男人修水管，七嘴八舌地提建议，这时候，一条狗尝试把我的地图偷走。
Sailing to see the Three Gorges dam, my map showed 45 bridges across that patch of the Yangtze river and its tributaries.
去看三峡大坝，我的地图上显示45座大桥横跨长江及其支流。
A couple of days later I slept on the veranda outside a restaurant in a town too small to feature on my map. I didn't catch its name.
几天后，我在小镇上一家餐馆外的走廊上躺着，这个镇太小，在我的地图上都查不出来，我不知道它的名字，餐馆老板的名字也不得而知。
My map implementation in Listing 6 is simple: Hadoop basically invokes this class for each line of text it finds in an input file.
清单6中的map实现比较简单：本质上是，Hadoop为在输入文件中找到的每一行文本调用这个类。
He then snatched my map from one of the other boys. Repeating the word "London" he began to slowly run his finger across its length and breadth.
他从另外一个孩子手里抢过了我的地图，嘴里重复说着“伦敦”这个词，开始用手指在地图上划来划去。
Next, I can tie together my map and reduce with another Job implementation, jar things up, and execute Hadoop as normal to obtain my new answer.
接下来，我将map和reduce，以及其他Job实现绑在一起，进行打包，然后和平常一样执行Hadoop获取我的新答案。
But I don't trust my map-reading skills, and on a mountain I would always rely on a man for that. We are programmed to do things in different ways.
但是我并不相信我阅读地图的能力，如果在一座山脉上我一定会依赖一个男人去看地图，我们来分工做不同的事情。
Now that I've worked out how I'll deal with the CSV file and its date format, I'm ready to begin implementing my map and reduce functions in Hadoop.
现在我已经找到了处理CSV文件以及其日期格式的解决方法。我要开始在Hadoop中实施我的map和reduce函数了。
Now that I've worked out how I'll deal with the CSV file and its date format, I'm ready to begin implementing my map and reduce functions in Hadoop.
现在我已经找到了处理CSV文件以及其日期格式的解决方法。我要开始在Hadoop中实施我的map和reduce函数了。
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