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.
- 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
pip install pyhera
A very basic instance:
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:
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]'To compare X and pyhera:
#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) # 6Documentation of pyhera project will be released as soon as possible.
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