What is the speculative execution in hadoop?

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Ranjith N

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Speculative execution in Hadoop is a process of running duplicate tasks on different nodes to finish the job faster by using the result from the task that completes first.
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a mechanism to improve job completion time by running duplicate tasks of slow-performing nodes on faster nodes.
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"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"

Speculative Execution in Hadoop: Runs duplicate tasks for slow-running ones. Whichever finishes first, its result is used. Helps avoid delays due to stragglers (slow nodes). Improves overall job performance and reliability. Enabled by default in MapReduce.
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Apache Hadoop does not fix or diagnose slow-running tasks. Instead, it tries to detect when a task is running slower than expected and launches another, an equivalent task as a backup (the backup task is called as speculative task). This process is called speculative execution in Hadoop.
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C Language Faculty (Online Classes ) Having 10 Years Experience

Apache Hadoop does not fix or diagnose slow-running tasks. Instead, it tries to detect when a task is running slower than expected and launches another, an equivalent task as a backup (the backup task is called as speculative task). This process is called speculative execution in Hadoop.
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