Datagoose, JSON Based Database for Best Performance.

Datagoose

Datagoose is an easy to use JSON based database for python.

With Datagoose:

• Best performance. Datagoose is a lightweight database.
• Methods that makes your job easier.
• Regex supports.
• Safe to use.
• Auto or manual save, for who wants better performance.
• Easy to use database. Created for everyone.
• Rich options. includes hash keys, database path, garbage leak option and more.
• Auto backup
• Events
• Can be dumped, also can load a data from JSON file.
  • <Datagoose>.load()
  • <Datagoose>.dump()

Source Code

Click

Download

You can download with pip install -U datagoose (PyPi Page) or, you can use with source code.

Documentation

• Quick Documentation
  • Quick Start
  • Inserting Data
  • Finding Data
  • Updating Data
  • Replace Data
  • Deleting Data
  • Count & Exists
  • Regex Example
  • Load & Dump
  • Copying Data
  • Collecting Garbage Data
  • Sorting Data
  • Auto Backup
  • Events

Performance

Test Result (Auto-Save Enabled):

• 100 Data with insert many:

  Starting Insert...
  Inserting Finished in  0:00:00.007002
  

• 1,000 Data with insert many:

  Starting Insert...
  Inserting Finished in  0:00:00.032004
  

• 10,000 Data with insert many:

  Starting Insert...
  Inserting Finished in  0:00:00.278020
  

• 100,000 Data with insert many:

  Starting Insert...
  Inserting Finished in  0:00:02.808687
  

• 1,000,000 Data with insert many:

  Starting Insert...
  Inserting Finished in  0:00:31.908481
  

Random Example Code

from datagoose import Datagoose
import random

# Getting Database
# Will create a new JSON file if not exists.
db = Datagoose("example", {
    "AUTO_SAVE": True,
    "USE_REGEX": True,
    "PATH": "dg/databases"
})

# insert many function example.
db.insert_many(*(
    {
        "NAME": random.choice(["eric", "kyle", "ike"]),
        "LAST_NAME": random.choice(["cartman", "marsh"]),
        "AGE": random.randint(9, 12),
        "POINT": random.randint(1, 10_000),
        "UID": i 
    } for i in range(10_000)
))

# find and sort function example (you can use regex.)
for res in db.find_and_sort({ "NAME": r"eric|kyle", "LAST_NAME": r"cartman", "AGE": 10 }, "POINT"):
    print(res)