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What are the ways in which Apache Spark handles accumulated Metadata?
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Answer Posted / Vimlesh Kumar
Apache Spark handles accumulated metadata in two primary ways: Persistent Disk and Memory. For small datasets, metadata can be stored entirely in memory to minimize I/O operations. For larger datasets, Spark may spill metadata to disk if it exceeds the available memory.
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