我有一份档案,其中我储存一些数据,这些数据应当由每个制图员用于某些计算。
我知道如何读到档案中的数据,这可以在地图仪功能中进行,然而,这一数据对于每个地图绘制者来说都是一样的,因此,我想在制图过程之前将数据储存在某个地方(可变),然后使用地图仪中的内容。
如果我在地图功能中这样做,例如有一份包含10条线的文件作为投入,那么地图功能就会被称作10次,正确吗? 因此,如果我阅读地图功能中的档案内容,我将读10次,没有必要。
预先感谢
我有一份档案,其中我储存一些数据,这些数据应当由每个制图员用于某些计算。
我知道如何读到档案中的数据,这可以在地图仪功能中进行,然而,这一数据对于每个地图绘制者来说都是一样的,因此,我想在制图过程之前将数据储存在某个地方(可变),然后使用地图仪中的内容。
如果我在地图功能中这样做,例如有一份包含10条线的文件作为投入,那么地图功能就会被称作10次,正确吗? 因此,如果我阅读地图功能中的档案内容,我将读10次,没有必要。
预先感谢
由于你们的许多制图员都在不同的证书(可能还有不同机器)内操作,因此,在将数据提交给Hadoop之前,你不能在申请中阅读。 然而,您可使用Distributed Cache 至“Distribute application-specific large, Read- only file effectively”
根据这一联系:“效率产生于以下事实:档案只每一份工作复印一次,而且能够保存在奴隶制度上没有档案的档案。
如果我理解正确的话,你只想把1项功能放在档案中读到所有线。 假设是,我在此就这样认为。
The mapper allows you to read 1 line at a time for safety sake so that you can control how many lines of input to read. And this takes a certain amount of memory. For one example, what if the file is large like 1GB size. Are you willing to read all the contents? This will take up a considerable amount of memory and have impact on the performance. This is the safety aspect that I mentioned earlier.
My conclusion is that there is no Mapper function that reads all the contents of a file. Do you agree?
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