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Add metrics to tasktracker to indicate the number of slots

所以就去找呀找~ 最后找到了两个法子。。 启动Hadoop时,DataNode启动后一会儿自动消失的解决方法. 从日志中可以看出,原因是因为datanode的clusterID 和 namenode的clusterID 不匹配。

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In the code, "Total time spent by all maps in occupied slots (ms)" is represented by the enum SLOTS_MILLIS_MAPS (or SLOTS_MILLIS_REDUCES) in JobCounter.java. Those constants are deprecated. They get their numbers by multiplying the task duration by the ratio of the MB used for the map task vs the minimum MB needed for one yarn slot.

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Tuning number of map and reduce slots on a TaskTracker node

10/21/2015 · Performance Monitoring, Testing and Optimizing Hadoop-MapReduce Job using Hadoop Counters Total time spent by all maps in occupied slots (ms)=34288552. indicates how much time map tasks wait in the queue after the slots are reserved but before the reduce tasks execute.

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The number of map and reduce slots on each TaskTracker node is controlled by the mapreduce.tasktracker.map.tasks.maximum and mapreduce.tasktracker.reduce.tasks.maximum Hadoop properties in the mapred-site.xml file. These parameters define the maximum number of concurrently occupied slots on a TaskTracker node and determine the degree of

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Hadoop/map-reduce: Total time spent by all maps in

The number of map and reduce slots on each TaskTracker node is controlled by the mapreduce.tasktracker.map.tasks.maximum and mapreduce.tasktracker.reduce.tasks.maximum Hadoop properties in the mapred-site.xml file. These parameters define the maximum number of concurrently occupied slots on a TaskTracker node and determine the degree of

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JobTracker View. Skip to end of metadata. Created by Paul Echeverri on Aug 04, 2014; Nodes - Occupied Map Slots - Occupied Reduce Slots - Reserved Map Slots - Reserved Reduce Slots - Map Task Capacity - Reduce Task Capacity - Avg. Tasks/Node - Blacklisted Nodes - Excluded Nodes - MapTask Prefetch Capacity - Scheduling Information .

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Occupied slots subset 1: Constant occupied slots Edit. As the name suggests, the specific slots are occupied from the start of the objective (Area 1) and will continue to be occupied no matter how far you go (in the objective selection screen, constantly occupied slots will be marked with a cross).

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What is Map Reduce? The data processing component of the Hadoop Framework that consists of Map phase and Reduce phase. What is Apache Sqoop? Apache Sqoop(TM) is a tool to transfer bulk data between Apache Hadoop and structured data stores such as relational databases. Total time spent by all maps in occupied slots (ms)=7608 13/11/27 15:36

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Hadoop/map-reduce: Total time spent by all maps in occupied slots vs. Total time spent by all map tasks. Ask Question. up vote 2 down vote favorite

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Performance Monitoring, Testing and Optimizing Hadoop

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of map slots and reduce slots throughout the lifetime of a cluster. However, we found that such a static configuration may lead to low system resource utilizations as well as long completion length. Motivated by this, we propose a simple yet effective scheme which uses slot ratio between map and reduce tasks as a tunable knob

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Using a Tunable Knob for Reducing Makespan of MapReduce

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With the number of map and reduce slots set, a node cannot run more map tasks than map slots at any given moment, even if no reduce tasks are running. It harms the cluster utilization because when all map slots are taken (and we still want more), we cannot use any reduce slots, even if …