I\'ve created a Elastic MapReduce job, and I\'m trying to optimize its performance. At this moment I\'m trying to increase the number of mappers per instance. I am 开发者_运维问答doing this via mapre
As part of my Java mapper I have a command executes some code on the local node and copies a local output file to the hadoop fs.Unfortunately I\'m getting the following output:
Before, you could set max failures percent by using: JobConf.setMaxMapTaskFailuresPercent(int) but now, that\'s obsolete.
As we know Hadoop groups values with per key and sends them to same reduce task. Suppose I have next lines in file on hdfs.
I\'d like to implement a MultithreadMapper for my MapReduce job. For this I replaced Mapper with MultithreadMapper in a working code.
As part of my Java mapper I have a command executes some standalone code on a local slave node.When I run a code it executes fine, unless it is trying to access some local files in which case I get th
sssI currently have an index called SchoolMetrics that aggregates several fields on the School field as the key and produces documents like this:
According to the Hadoop : The Definitive Guide. The new API supports both a “push” and a “pull” style of iteration. In both APIs, key-value record pairs are pushed to the mapper, but i开发者_Go百
Seems like it is supported in Hado开发者_StackOverflow中文版op(reference), but I dont know how to use this.
I have a problem that I need some help on but I feel I\'m close. It involves Lithium and MongoDB Code looks like this:
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