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> Monty, Mongo tinified. MongoDB implemented in Python!
_Inspired by [TinyDB](https://github.com/msiemens/tinydb) and it's extension [TinyMongo](https://github.com/schapman1974/tinymongo)_
## What is it?
A pure Python-implemented database that looks and works like [MongoDB](https://www.mongodb.com/).
```python
>>> from montydb import MontyClient
>>> col = MontyClient(":memory:").db.test
>>> col.insert_many( [{"stock": "A", "qty": 6}, {"stock": "A", "qty": 2}] )
>>> cur = col.find( {"stock": "A", "qty": {"$gt": 4}} )
>>> next(cur)
{'_id': ObjectId('5ad34e537e8dd45d9c61a456'), 'stock': 'A', 'qty': 6}
```
Most of the CRUD operators have been implemented. You can visit [issue #14](https://github.com/davidlatwe/montydb/issues/14) to see the full list.
This project is tested against:
- MongoDB: 3.6, 4.0, 4.2 (4.4 on the way💦)
- Python: 2.7, 3.6, 3.7, 3.8, 3.9
## Install
```sh
pip install montydb
```
- optional, to use *real* `bson` in operation (`pymongo` will be installed)
_For minimum requirements, `montydb` ships with it's own fork of `ObjectId` in `montydb.types`, so you may ignore this option if `ObjectId` is all you need from `bson`_
```sh
pip install montydb[bson]
```
- optional, to use lightning memory-mapped db as storage engine
```sh
pip install montydb[lmdb]
```
## Storage
🦄 Available storage engines:
* in-memory
* flat-file
* sqlite
* lmdb (lightning memory-mapped db)
Depending on which one you use, you may have to configure the storage engine before you start.
> ⚠️
>
> The configuration process only required on repository creation or modification. And, one repository (the parent level of databases) can only assign one storage engine.
To configure a storage, see flat-file storage for example:
```python
from montydb import set_storage, MontyClient
set_storage(
# general settings
repository="/db/repo", # dir path for database to live on disk, default is {cwd}
storage="flatfile", # storage name, default "flatfile"
mongo_version="4.0", # try matching behavior with this mongodb version
use_bson=False, # default None, and will import pymongo's bson if None or True
# any other kwargs are storage engine settings.
cache_modified=10, # the only setting that flat-file have
)
# ready to go
```
Once that done, there should be a file named `monty.storage.cfg` saved in your db repository path. It would be `/db/repo` for the above examples.
## Configuration
Now let's moving on to each storage engine's config settings.
### 🌟 In-Memory
`memory` storage does not need nor have any configuration, nothing saved to disk.
```python
from montydb import MontyClient
client = MontyClient(":memory:")
# ready to go
```
### 🔰 Flat-File
`flatfile` is the default on-disk storage engine.
```python
from montydb import set_storage, MontyClient
set_storage("/db/repo", cache_modified=5) # optional step
client = MontyClient("/db/repo") # use current working dir if no path given
# ready to go
```
FlatFile config:
```ini
[flatfile]
cache_modified: 0 # how many document CRUD cached before flush to disk.
```
### 💎 SQLite
`sqlite` is NOT the default on-disk storage, need configuration first before getting client.
> Pre-existing sqlite storage file which saved by `montydb<=1.3.0` is not read/writeable after `montydb==2.0.0`.
```python
from montydb import set_storage, MontyClient
set_storage("/db/repo", storage="sqlite") # required, to set sqlite as engine
client = MontyClient("/db/repo")
# ready to go
```
SQLite config:
```ini
[sqlite]
journal_mode: WAL
```
SQLite write concern:
```python
client = MontyClient("/db/repo",
synchronous=1,
automatic_index=False,
busy_timeout=5000)
```
### 🚀 LMDB (Lightning Memory-Mapped Database)
`lightning` is NOT the default on-disk storage, need configuration first before get client.
> Newly implemented.
```python
from montydb import set_storage, MontyClient
set_storage("/db/repo", storage="lightning") # required, to set lightning as engine
client = MontyClient("/db/repo")
# ready to go
```
LMDB config:
```ini
[lightning]
map_size: 10485760 # Maximum size database may grow to.
```
## URI
Optionally, You could prefix the repository path with montydb URI scheme.
```python
client = MontyClient("montydb:///db/repo")
```
## Utilities
> Pymongo `bson` may required.
* #### `montyimport`
Imports content from an Extended JSON file into a MontyCollection instance.
The JSON file could be generated from `montyexport` or `mongoexport`.
```python
from montydb import open_repo, utils
with open_repo("foo/bar"):
utils.montyimport("db", "col", "/path/dump.json")
```
* #### `montyexport`
Produces a JSON export of data stored in a MontyCollection instance.
The JSON file could be loaded by `montyimport` or `mongoimport`.
```python
from montydb import open_repo, utils
with open_repo("foo/bar"):
utils.montyexport("db", "col", "/data/dump.json")
```
* #### `montyrestore`
Loads a binary database dump into a MontyCollection instance.
The BSON file could be generated from `montydump` or `mongodump`.
```python
from montydb import open_repo, utils
with open_repo("foo/bar"):
utils.montyrestore("db", "col", "/path/dump.bson")
```
* #### `montydump`
Creates a binary export from a MontyCollection instance.
The BSON file could be loaded by `montyrestore` or `mongorestore`.
```python
from montydb import open_repo, utils
with open_repo("foo/bar"):
utils.montydump("db", "col", "/data/dump.bson")
```
* #### `MongoQueryRecorder`
Record MongoDB query results in a period of time.
*Requires to access database profiler.*
This works via filtering the database profile data and reproduce the queries of `find` and `distinct` commands.
```python
from pymongo import MongoClient
from montydb.utils import MongoQueryRecorder
client = MongoClient()
recorder = MongoQueryRecorder(client["mydb"])
recorder.start()
# Make some queries or run the App...
recorder.stop()
recorder.extract()
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