MAPREDUCE-6820. Fix dead links in Job relevant classes. Contributed by Yiqun Lin.
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@ -1318,7 +1318,7 @@ public void setReduceSpeculativeExecution(boolean speculativeExecution) {
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* bytes, of input files. However, the {@link FileSystem} blocksize of the
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* input files is treated as an upper bound for input splits. A lower bound
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* on the split size can be set via
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* <a href="{@docRoot}/../mapred-default.html#mapreduce.input.fileinputformat.split.minsize">
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* <a href="{@docRoot}/../hadoop-mapreduce-client/hadoop-mapreduce-client-core/mapred-default.xml#mapreduce.input.fileinputformat.split.minsize">
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* mapreduce.input.fileinputformat.split.minsize</a>.</p>
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*
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* <p>Thus, if you expect 10TB of input data and have a blocksize of 128MB,
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@ -147,7 +147,7 @@ public interface Mapper<K1, V1, K2, V2> extends JobConfigurable, Closeable {
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* takes significant amount of time to process individual key/value
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* pairs, this is crucial since the framework might assume that the task has
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* timed-out and kill that task. The other way of avoiding this is to set
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* <a href="{@docRoot}/../mapred-default.html#mapreduce.task.timeout">
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* <a href="{@docRoot}/../hadoop-mapreduce-client/hadoop-mapreduce-client-core/mapred-default.xml#mapreduce.task.timeout">
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* mapreduce.task.timeout</a> to a high-enough value (or even zero for no
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* time-outs).</p>
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*
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@ -187,7 +187,7 @@ public interface Reducer<K2, V2, K3, V3> extends JobConfigurable, Closeable {
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* takes a significant amount of time to process individual key/value
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* pairs, this is crucial since the framework might assume that the task has
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* timed-out and kill that task. The other way of avoiding this is to set
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* <a href="{@docRoot}/../mapred-default.html#mapreduce.task.timeout">
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* <a href="{@docRoot}/../hadoop-mapreduce-client/hadoop-mapreduce-client-core/mapred-default.xml#mapreduce.task.timeout">
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* mapreduce.task.timeout</a> to a high-enough value (or even zero for no
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* time-outs).</p>
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*
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