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A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. It supports fully serializable transactions and many data structures such as list、set、sorted set. All operations happen inside a Tx. Tx represents a transaction, which can be read-only or read-write. Read-only transactions can read values for a given bucket and a given key or iterate over a set of key-value pairs....

...If you follow the tests/examples, you too can store dictionaries, trees, lists or whatever you can think of in disk-based memory, just an open() and mmap() away. Meta-treedb comes with an AVL tree, doubly-linked-list and variable-entry-sized-array implementations for you to use in your data structures. So, what distinguishes meta-treedb from treedb? * "class" interfaces for treedb collections These are vtables (virtual function tables) that implement the interface. * faster compiles - only the "class" interfaces are visible to client code This is at the expense of a small performance hit...

PySQL aims to be a full replacement for sqlplus (and much more). It has features such as history, completion, explain plan, session list, background queries, datamodel graphical output, object dependencies, PL/SQL package function call tree...