https://github.com/alimghmi/pyhera

pyhera is an optimized in-memory database
https://github.com/alimghmi/pyhera

database database-management dbms dbms-engine hera heradb jsondb key-value-database key-value-store multithreading nosql nosql-databases pyhera pyhera-db pyheradb python python-database python2 python3

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pyhera is an optimized in-memory database

• Host: GitHub
• URL: https://github.com/alimghmi/pyhera
• Owner: alimghmi
• License: mit
• Created: 2020-04-11T18:06:50.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-05-09T15:37:40.000Z (over 3 years ago)
• Last Synced: 2024-12-10T18:22:58.343Z (16 days ago)
• Topics: database, database-management, dbms, dbms-engine, hera, heradb, jsondb, key-value-database, key-value-store, multithreading, nosql, nosql-databases, pyhera, pyhera-db, pyheradb, python, python-database, python2, python3
• Language: Python
• Homepage:
• Size: 55.7 KB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# pyhera

## Introduction

>**pyhera** is a lightweight in-memory database management module written in python. An optimized NoSQL database which is fast. Data are stored in JSON format (key-value) thus created databases can be analyzed by other applications in different platforms.

## Features

* Ease of use. **No complicated syntax**

* Fast because of **multithreading implementation**

* It's secure. **Database is not modifiable from outside** 

* Reliable. **pyhera automatically takes back-up**

## Easy Installition

```

pip install pyhera

```

## Quick start

A very basic instance:

```python

import pyhera # Import pyhera module

h = pyhera.Pool('mydb') # Create database object

h.set('foo', 'bar') 

result = h.get('foo') 

print(result) # Print 'bar'

```

To use it in temp mode:

```python

import pyhera

t = pyhera.Pool('mydb', temp=True) # Create temp database object

h.lmls('foo', [1, 2, 3]) # Won't be saved in database file

result = h.lret('foo') # Only stored in memory

print(result) # Print '[1, 2, 3]'

```

## Code samples

To compare X and pyhera:

```python

#X (a key-value series database)

r = connection()

r.dset('foo', 'bar1', 1)

r.dset('foo', 'bar2', 2)

r.dset('foo', 'bar3', 3)

d1 = r.dget('foo', 'bar1')

d2 = r.dget('foo', 'bar2')

d3 = r.dget('foo', 'bar3')

print(d1 + d2 + d3) # 6

#pyhera (Above method is also possible in pyhera)

h = pyhera.Pool('mydb')

h.dmls('foo', {

  'bar1': 1,

  'bar2': 2,

  'bar3': 3

})

d, sum = h.dmlg('foo'), 0

for k, v in d.items():

  sum += v

 

print(sum) # 6

```

## Documentation

> Documentation of pyhera project will be released as soon as possible.