GitHub PullRequestEvent at 2014-08-26 07:06:22
Repository: spark
Actor: uncleGen
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However, \"StorageTab\" may lost some rdds which are cached actually. Not only in \"StorageTab\", \"ExectutorTab\" may also lose some rdd info which have been overwritten by last rdd in a same task.\r\n1. \"StorageTab\": when multiple stages run simultaneously, completed stage will remove rdd info which belong to other stages that are still running.\r\n2. \"ExectutorTab\": taskcontext may lose some \"updatedBlocks\" info of  rdds  in a dependency chain. Like the following example:\r\n         val r1 = sc.paralize(..).cache()\r\n         val r2 = r1.map(...).cache()\r\n         val n = r2.count()\r\n\r\nWhen count the r2, r1 and r2 will be cached finally. So in CacheManager.getOrCompute, the taskcontext should contain \"updatedBlocks\" of r1 and r2. Currently, the \"updatedBlocks\" only contain the info of r2. 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