Replies: 7 comments
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I think it can support fairly large data size. It certainly is designed to store a large number of key-value pairs, especially when it cannot fit into the memory. For the specifics, refer to rocksdb, as this package is a thin wrapper around it. |
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How to allocate maximum memory for storage of large key value pairs? |
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What do you mean "allocate memory"? |
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Did you meet some storage limitation or some other issue? |
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When I am trying store huge data in key value pairs around 50 Million records my system crashes,is there a way to allocate some storage to Rdict to maximum limit |
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What’s the error message? |
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How many bytes are the keys and values on average, roughly? And are you sure that you have enough free disk space too? |
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Can it support storage for large data as a database.How transformations and CRUD operations impact its latency factor.
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