Can cache / persist with MEMORY_AND_DISK lose data?











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My Spark RDD is cached with StorageLevel.MEMORY_AND_DISK setting.
Event if it would be saved on memory or disk, is there any way that the RDD recompute to re-create this RDD?










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  • Please elaborate on your question. What are you referring to with "is there any way that the RDD recompute to re-create this RDD?"
    – BDA
    Nov 22 at 9:08










  • Possible duplicate of Spark Dataframe.cache() behavior for changing source
    – user6910411
    Nov 22 at 11:17















up vote
0
down vote

favorite












My Spark RDD is cached with StorageLevel.MEMORY_AND_DISK setting.
Event if it would be saved on memory or disk, is there any way that the RDD recompute to re-create this RDD?










share|improve this question
























  • Please elaborate on your question. What are you referring to with "is there any way that the RDD recompute to re-create this RDD?"
    – BDA
    Nov 22 at 9:08










  • Possible duplicate of Spark Dataframe.cache() behavior for changing source
    – user6910411
    Nov 22 at 11:17













up vote
0
down vote

favorite









up vote
0
down vote

favorite











My Spark RDD is cached with StorageLevel.MEMORY_AND_DISK setting.
Event if it would be saved on memory or disk, is there any way that the RDD recompute to re-create this RDD?










share|improve this question















My Spark RDD is cached with StorageLevel.MEMORY_AND_DISK setting.
Event if it would be saved on memory or disk, is there any way that the RDD recompute to re-create this RDD?







apache-spark rdd






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share|improve this question













share|improve this question




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edited Nov 22 at 11:17









user6910411

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32.3k86693










asked Nov 22 at 4:32









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185216












  • Please elaborate on your question. What are you referring to with "is there any way that the RDD recompute to re-create this RDD?"
    – BDA
    Nov 22 at 9:08










  • Possible duplicate of Spark Dataframe.cache() behavior for changing source
    – user6910411
    Nov 22 at 11:17


















  • Please elaborate on your question. What are you referring to with "is there any way that the RDD recompute to re-create this RDD?"
    – BDA
    Nov 22 at 9:08










  • Possible duplicate of Spark Dataframe.cache() behavior for changing source
    – user6910411
    Nov 22 at 11:17
















Please elaborate on your question. What are you referring to with "is there any way that the RDD recompute to re-create this RDD?"
– BDA
Nov 22 at 9:08




Please elaborate on your question. What are you referring to with "is there any way that the RDD recompute to re-create this RDD?"
– BDA
Nov 22 at 9:08












Possible duplicate of Spark Dataframe.cache() behavior for changing source
– user6910411
Nov 22 at 11:17




Possible duplicate of Spark Dataframe.cache() behavior for changing source
– user6910411
Nov 22 at 11:17

















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