Pandas DataFrame Service (DFS)
Features
* Simple, ~100 lines multi-threaded file cache implementation
* Key-value store for Panda DataFrames with basic index querying
* Fixed budget memory consumption w/ LRU eviction
* Supports updates on files and dataframes
* Simple TCP client/server interface w/ client-side connection pooling
Limitations
1. Currently does not support replication, though the file system can be (e.g. NAS)
Usage
Install
$ pip3 install dataframe-service
Start server
$ dfs_server
Serving on 0.0.0.0 port 8000 with max memory 1073741824 at root directory <current dir>
Run DFS REPL
$ rlwrap dfs_repl
Welcome to DFS REPL
author: Brian Guarraci
repo : https://github.com/briangu/dfs
crtl-c to quit
?> stats
{
"memory": {
"used": "0",
"free": "1073741824",
"max": "1073741824"
}
}
1 maintainer
Metadata
1 maintainer
Release files for dataframe-service 0.1.13
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Source distribution (sdist)
| File | Size | Uploaded | |
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| dataframe-service-0.1.13.tar.gz | 10.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dataframe_service-0.1.13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.0 kB
Release files / dataframe-service-0.1.13.tar.gz
| Download URL | dataframe-service-0.1.13.tar.gz |
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| Size | 10.4 kB |
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Release files / dataframe_service-0.1.13-py3-none-any.whl
| Download URL | dataframe_service-0.1.13-py3-none-any.whl |
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| Size | 12.6 kB |
| Tags | Python 3 |
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