What is a distributed cache in Hadoop?

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Ranjith N

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A distributed cache in Hadoop is a mechanism to cache files needed by MapReduce jobs, allowing nodes to access and use them locally, improving performance and reducing network overhead.
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A distributed cache in Hadoop is a mechanism to cache files needed by MapReduce jobs, allowing nodes to access and use them locally, improving performance and reducing network overhead.
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"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"

A distributed cache in Hadoop is a mechanism that allows users to store and share data files across all nodes in a Hadoop cluster. It helps improve the performance of MapReduce jobs by caching files that can be used by multiple tasks, thus reducing the need to read from HDFS repeatedly. ### Key Features: -...
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A distributed cache in Hadoop is a mechanism that allows users to store and share data files across all nodes in a Hadoop cluster. It helps improve the performance of MapReduce jobs by caching files that can be used by multiple tasks, thus reducing the need to read from HDFS repeatedly. ### Key Features: - **Efficiency**: Provides faster access to frequently used files. - **Automatic Distribution**: Files are automatically distributed to all task nodes when a job starts. - **Read-Only**: Cached files are typically read-only during job execution. ### Common Use Cases: - Storing lookup tables. - Sharing configuration files. - Caching libraries or JAR files needed for tasks. In Hadoop, the distributed cache can be configured using the `DistributedCache` class in older versions or through the newer APIs in Hadoop 2.x and later. read less
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