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