mapreduce

美 　英

• 網(wǎng)絡(luò)分布式計(jì)算系統(tǒng)；并行編程技術(shù)；分布式編程環(huán)境

例句

The record-breaking MapReduce approach, he said, is useful in physics, cryptography and data mining.

他還介紹說(shuō)，破記錄的MapReduce方法在物理學(xué)，密碼學(xué)和數(shù)據(jù)挖掘領(lǐng)域也是很有用的。

Try to get the code to the point where I can fire off another MapReduce before leaving for the day.

在結(jié)束當(dāng)日工作之前，盡可能把代碼整理到可以啟動(dòng)另一個(gè)MapReduce。

Alas, there are several things that Hadoop does not do, at least when accessed through the MapReduce interface.

唉，有幾件事情Hadoop也不做，至少在通過(guò)MapReduce訪問(wèn)接口。

Now you have set up the Hadoop Cluster on the cloud, and it's ready to run the MapReduce applications.

現(xiàn)在，已經(jīng)在云中設(shè)置了Hadoop集群，該運(yùn)行MapReduce應(yīng)用程序了。

When the data set is small, MapReduce and load balancing do not effect an appreciable increase in throughput in a cloud system.

數(shù)據(jù)集較小時(shí)，MapReduce和負(fù)載平衡不會(huì)對(duì)云系統(tǒng)吞吐量的增加產(chǎn)生明顯影響。

Google's MapReduce algorithm turns a bunch of cell phones into a self-contained cloud computing environment.

谷歌的MapReduce算法能將一群手機(jī)轉(zhuǎn)化成為一個(gè)自包含的云計(jì)算環(huán)境。

It's an interesting read to explore how the MapReduce model can apply to a variety of computational algorithms.

這是一個(gè)有趣的閱讀用來(lái)探索MapReduce模型如何應(yīng)用到各種不同的可計(jì)算算法。

Generate graphs of the resulting data and stare at them for a while.

生成（MapReduce的）結(jié)果數(shù)據(jù)圖，并仔細(xì)凝視觀察一會(huì)。

The two core components are the Hadoop Distributed File System for storing data and Hadoop MapReduce for writing parallel-processing jobs.

其中兩個(gè)核心組件是用于存儲(chǔ)數(shù)據(jù)的HadoopDistributedFileSystem（Hadoop分布式文件系統(tǒng)）和用于寫入并行處理任務(wù)的HadoopMapReduce。

Is there any additional work being done to simplify the management of a cluster, the HDFS, MapReduce processes, etc. ?

那么管理這樣一個(gè)集群、HDFS以及MapReduce的處理還有什么額外的工作需要做嗎？

For a given amount of money, MapReduce may provide a much faster solution, since it can support much larger hardware environments.

對(duì)于一個(gè)給定的數(shù)額的金錢，MapReduce解決方案提供了一種快得多，因?yàn)?/c>它可以支持更大的硬件環(huán)境。

Using MapReduce programming model can easy write distributed applications and simplifying distributed programming.

應(yīng)用MapReduce編程模型很容易編寫分布式程序，簡(jiǎn)化了分布式編程。

Canonical MapReduce is the calculation of word frequency in a set of documents.

典型的MapReduce示例是計(jì)算單詞在文檔集中出現(xiàn)的頻率。

Processing in Elastic MapReduce is centered around the concept of a Job Flow.

ElasticMapReduce的處理是圍繞著任務(wù)流這一概念為中心來(lái)開(kāi)展的。

To achieve speed and scalability, Hadoop relies on MapReduce, a simple but powerful framework for parallel computation.

為了實(shí)現(xiàn)快速和可伸縮性，Hadoop依賴于MapReduce，一個(gè)簡(jiǎn)單但強(qiáng)大的并行計(jì)算框架。

Rebuild code to be safe, then fire off a three-hour MapReduce job to crunch log data to analyze network latencies.

安全起見(jiàn)，重構(gòu)代碼，然后啟動(dòng)一個(gè)需運(yùn)行三小時(shí)的MapReduce任務(wù)，生成日志數(shù)據(jù)，來(lái)分析網(wǎng)絡(luò)延遲。

MapReduce doesn't depend on a traditional structured database, where information is categorized as it's collected.

MapReduce不需要傳統(tǒng)結(jié)構(gòu)的數(shù)據(jù)庫(kù)，信息在收集的時(shí)候就已經(jīng)分類了。

explains the utility of MapReduce by two Google fellows -- appropriate authors, since Google invented the parallel MapReduce paradigm.

闡述了由兩個(gè)谷歌MapReduce效用的家伙——適當(dāng)的作者，因?yàn)?/c>谷歌發(fā)明了平行MapReduce范式。

As a result of this paper, many open source implementations of MapReduce emerged between 2004 to the present.

這篇文章導(dǎo)致的結(jié)果是，從2004年到現(xiàn)在出現(xiàn)了許多開(kāi)放源碼的MapReduce實(shí)現(xiàn)。

In a cloud environment, the MapReduce structure increases the efficiency of throughput for large data sets.

在云環(huán)境中，MapReduce結(jié)構(gòu)提高了大型數(shù)據(jù)集的吞吐效率。

Google introduced the idea of MapReduce as a programming model for processing or generating large sets of data.

Google引用MapReduce的概念作為處理或生成大型數(shù)據(jù)集的編程模型。

Next in the MapReduce life cycle: All of the intermediate results get boiled down and summarized.

在MapReduce生命周期中，下一步是濃縮和匯總所有中間結(jié)果。

In this example, you see the MapReduce process on a small set of data.

在這個(gè)示例中，我們使用MapReduce處理一個(gè)小數(shù)據(jù)集。

Different sets of input files were provided, each of different size, and executed the MapReduce tasks in both single- and two-node clusters.

提供了不同的輸入文件集，每個(gè)文件集的大小不同，并在單節(jié)點(diǎn)和雙節(jié)點(diǎn)集群中執(zhí)行MapReduce任務(wù)。

First, MapReduce does have associated projects for supporting declarative languages.

首先，MapReduce有相關(guān)計(jì)劃支持的聲明的語(yǔ)言。

In the overall context of your cluster, this is a very small amount of data, but it is critical to running a MapReduce job.

在你集群的整個(gè)環(huán)境下，這些雖然都是很少量的數(shù)據(jù)，但是對(duì)運(yùn)行MapReduce工作來(lái)說(shuō)非常重要。

HBase is a database representation over Hadoop's HDFS, permitting MapReduce to operate on database tables over simple files.

HBase是數(shù)據(jù)庫(kù)在Hadoop的HDFS上的表現(xiàn)，在簡(jiǎn)單文件上執(zhí)行MapReduce以操作數(shù)據(jù)庫(kù)表。

I'm looking at performance modeling of Pig programs, which in essence represent dags of MapReduce jobs.

我正在建立Pig程序的性能模型，實(shí)際上它代表著分布式計(jì)算系統(tǒng)（mapreduce）工作量的多少。

There is no shortage of cloud-based MapReduce options available both as open source and commercial offerings.

基于云的MapReduce系統(tǒng)既有開(kāi)放源碼的，也有商用產(chǎn)品。

The advantage of MapReduce is that it allows for the distributed processing of the map and reduction operations.

MapReduce的優(yōu)點(diǎn)是它允許對(duì)映射和縮減操作進(jìn)行分布式處理。

After successful completion, the output of the MapReduce execution is available in the R output files.

完成后，MapReduce的執(zhí)行結(jié)果被保存在R個(gè)輸出文件。

MapReduce. The software is free and runs on cheap clusters of computers, rather than expensive servers and hardware.

軟件是免費(fèi)的，在廉價(jià)的計(jì)算機(jī)集群運(yùn)行，而不是昂貴的服務(wù)器和硬件。

MapReduce programs are designed to compute large volumes of data in a parallel fashion.

MapReduce程序用于以并行方式計(jì)算大量數(shù)據(jù)。

The third parameter is the name of the object that holds the results of MapReduce.

第三個(gè)參數(shù)是持有MapReduce結(jié)果的對(duì)象的名稱。

When working with MapReduce, the map function's job is to pick some value to work off of, along with some key.

當(dāng)使用MapReduce進(jìn)行處理時(shí)，map函數(shù)的任務(wù)是選擇一些要處理的值，以及一些鍵。

This time you are extending the org. apache. hadoop. mapreduce. Reducer class and implementing its reduce method.

這一次，您將擴(kuò)展org.apache.hadoop.mapreduce.Reducer類并實(shí)現(xiàn)其reduce方法。

Instead of traditional file processing, HBase makes database tables the input and output form for MapReduce processing.

代替傳統(tǒng)的文件處理，HBase使數(shù)據(jù)庫(kù)將MapReduce處理的輸入和輸出格式列表。

The scenario is one where a startup company wishes to offer a MapReduce service to their clients.

這個(gè)情景是關(guān)于一個(gè)新起步的公司，他們希望為他們的客戶提供MapReduce服務(wù)。

The Google operational model is based on deploying MapReduce applications across large clusters of commodity systems, or white boxes.

Google操作模型是基于跨越大量的廉價(jià)硬件設(shè)備上組成的集群或者白盒子上面部署MapReduce應(yīng)用。

The combination of cloud computing and MapReduce seems tailored for big data jobs.

云計(jì)算和MapReduce的組合看起來(lái)非常適合處理BigData作業(yè)。