MongoDataRandomizer
This is a simple data randoizer to load up a MongoDB database with data.
Installation
From PyPI
pip install MongoRandomizer
From Source
- Download source code
cdto the download directory- Run
pip install --editable .
Use
Help
graboskycMBP:~ graboskyc$ MongoRandomizer -h
usage: MongoRandomizer [-h] [-c CS] [-t T] [-b B] [-m M] [-p P] [-w WC] [-j]
[-g]
task
CLI Tool for continually writing random data to a MongoDB database for testing
purposes
positional arguments:
task clean, insert, insertAndUpdate, read, everything
optional arguments:
-h, --help show this help message and exit
-c CS server connection string
-t T threads to use, if left off, use 10
-b B blocksize to use. if not inclided, use 1000
-m M max blocks to use. if not inclided, use 1000
-p P additional chars of padding to increase document size
-w WC write concern to use. if blank, none used
-j, --journaling if omitted, false. if flag enabled, journal
-g, --geo if omitted, use customer data. if flag enabled push
geographic data
Random Inserts
graboskycMBP:~ graboskyc$ MongoRandomizer -c mongodb://localhost -t 5 -b 500 -p 10 -w 1 -j insert
About to enter data in:
Threads: 5
DB: demodb
Collection: democollection
Blocksize: 1000
Max Blocks: 500
Write Concern: 1
Journaling: True
This process will continue until you press control+c or break
Sample Document
{
"_id" : ObjectId("5b7db58ecc39345cebc78f67"),
"prescriptions" : [
"Drug water adult.",
"Enjoy month.",
"Just always wind summer.",
"Bad street me.",
"Assume.",
"Section.",
"Forward nearly.",
"Town community boy.",
"Vote major.",
"Walk.",
"Left night receive.",
"Relationship speak.",
"Affect nearly.",
"Present star special.",
"Employee instead.",
"Kid foot direction poor.",
"Determine law."
],
"accountNumber" : 48,
"padding" : "aaaaaaaaaa",
"address" : "847 Ferguson Rd.",
"payment" : 60,
"occupation" : "Aid worker",
"singupDate" : ISODate("2018-08-22T19:11:55.442Z"),
"copay" : 20,
"notes" : "Crime evening nation artist blue far fast generation. Play list range none before night everyone. Doctor make score around.",
"zipcode" : "43418",
"state" : "WY",
"fullname" : "Donna Webster",
"deductible" : 300
}
Sample Geo Document
{
"_id" : ObjectId("5b9fd129cc39341758236d80"),
"padding" : "",
"notes" : "Wait mean performance view billion plan civil this. Cup prevent season.\nEffect thought while get market war wife oil.",
"name" : "Mr. Antonio Salas MD",
"location" : {
"type" : "Point",
"coordinates" : [
-73.59354663520122,
42.00216814289992
]
}
}
Metadata
Release files for MongoRandomizer 0.3.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| MongoRandomizer-0.3.11.tar.gz | 4.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| MongoRandomizer-0.3.11-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 10.6 kB
Release files / MongoRandomizer-0.3.11.tar.gz
| Download URL | MongoRandomizer-0.3.11.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7fae9625bf13d8a61d1d51352520f5d7e6153c8539149bba43e52252d28a783f
|
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No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/2.7.15
|
Release files / MongoRandomizer-0.3.11-py2-none-any.whl
| Download URL | MongoRandomizer-0.3.11-py2-none-any.whl |
|---|---|
| Size | 5.7 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
b3958ea3146679099bd2064286526fe7fba0c5bae1307dfaf69c1512a05f9014
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No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/2.7.15
|
Security for MongoRandomizer 0.3.11
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