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What is a distributed cache in Hadoop?

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A distributed cache in Hadoop is a mechanism that allows files (e.g., configuration files, jars) to be cached on all worker nodes to make them available for MapReduce jobs, improving efficiency and performance.
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Distributed Cache in Hadoop: A mechanism to distribute read-only files (like JARs, text files, archives) to all DataNodes. Files are cached locally on each node to avoid repeated data transfer. Commonly used to share reference data (e.g., lookup tables) with Map/Reduce tasks. Purpose: Speeds...
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Distributed Cache in Hadoop: A mechanism to distribute read-only files (like JARs, text files, archives) to all DataNodes. Files are cached locally on each node to avoid repeated data transfer. Commonly used to share reference data (e.g., lookup tables) with Map/Reduce tasks. Purpose: Speeds up jobs by minimizing network overhead and providing fast local access to shared files. read less
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In Hadoop, a distributed cache is a mechanism that efficiently distributes application-specific files, like configuration files or JAR files, to all nodes in a Hadoop cluster. This allows worker nodes to access these files locally when executing tasks, improving performance by avoiding network bandwidth...
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In Hadoop, a distributed cache is a mechanism that efficiently distributes application-specific files, like configuration files or JAR files, to all nodes in a Hadoop cluster. This allows worker nodes to access these files locally when executing tasks, improving performance by avoiding network bandwidth bottlenecks. read less
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