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This repository has been archived by the owner on Sep 17, 2024. It is now read-only.
File-based: all key-value pairs are stored in a single file.
Folder-based: each key gets its individual file in a designated folder.
File-based storages tend to fail when dealing with map sizes nearing 10,000 entries, often resulting in slow, sometimes even flawed writing. On the other hand, folder-based storages must be inefficient when handling smaller values.
Chunked storage blends both methods: it utilizes a folder containing files, with each file holding multiple entries. We need a strategy to identify the chunks requiring updates after a storage model modification. The use of Merkle trees might be necessary for efficient synchronization of external updates.
The text was updated successfully, but these errors were encountered:
We have two storage implementations:
File-based storages tend to fail when dealing with map sizes nearing 10,000 entries, often resulting in slow, sometimes even flawed writing. On the other hand, folder-based storages must be inefficient when handling smaller values.
Chunked storage blends both methods: it utilizes a folder containing files, with each file holding multiple entries. We need a strategy to identify the chunks requiring updates after a storage model modification. The use of Merkle trees might be necessary for efficient synchronization of external updates.
The text was updated successfully, but these errors were encountered: