Cache Manager in Spark is responsible for passing RDDs partition contents to Block Manager and making sure a node doesn’t load two copies of an RDD at once.
It keeps reference to Block Manager.
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Caution
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FIXME Review the CacheManager class.
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In the code, the current instance of Cache Manager is available under SparkEnv.get.cacheManager.