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45 lines
1.7 KiB
45 lines
1.7 KiB
# AQuery++ DB
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## Introduction
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AQuery++ Database is a cross-platform, In-Memory Column-Store Database that incorporates compiled query execution.
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Compiler frontend built on top of [mo-sql-parsing](https://github.com/klahnakoski/mo-sql-parsing).
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## Roadmap
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- [x] SQL Parser -> AQuery Parser (Front End)
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- [ ] AQuery-C++ Compiler (Back End)
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- [x] Schema and Data Model
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- [x] Data acquisition/output from/to csv file
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- [x] Single table queries
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- [x] Projections and Single Table Aggregations
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- [x] Group by Aggregations
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- [x] Filters
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- [x] Order by
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- [x] Assumption
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- [x] Flatten
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- [ ] Multi-table
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- [ ] Join
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- [ ] Subqueries
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- [ ] -> Optimizing Compiler
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## TODO:
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- [ ] C++ Meta-Programming: Elimilate template recursions as much as possible.
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- [ ] IPC: Better ways to communicate between Interpreter (Python) and Executer (C++).
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- [ ] Sockets? stdin/stdout capture?
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## Requirements
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Recent version of Linux, Windows or MacOS, with recent C++ compiler that has C++17 (1z) support (e.g. gcc 6.0, MSVC 2017, clang 6.0), and python 3.6 or above.
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## Usage
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`python3 prompt.py` will launch the interactive command prompt. The server binary will be autometically rebuilt and started.
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#### Commands:
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- `<sql statement>`: parse sql statement
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- `f <filename>`: parse all sql statements in file
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- `print`: printout parsed sql statements
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- `exec`: execute last parsed statement(s)
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- `r`: run the last generated code snippet
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- `save <OPTIONAL: filename>`: save current code snippet. will use random filename if not specified.
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- `exit`: quit the prompt
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#### Example:
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`f moving_avg.a` <br>
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`exec`
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