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In recent years, Spark has become a hotspot for big data processing. For a single user, Spark provides the cache method to share the results between the jobs in a single application. When accessed concurrently by multi users, there may exist same computation among the submitted applications, however, Spark does not provide a method to share computing results between applications. In traditional databases,...