Yet Another Async TinyDB
Project description
What's This?
An asynchronous version of TinyDB
with extended capabilities.
Almost every method is asynchronous. And it's based on TinyDB 4.7.0+
.
Unlike TinyDB
which has a minimal core, Async-TinyDB
is designed to have max flexibility and performance.
Incompatible Changes
-
Asynchronous: Say goodbye to blocking IO. Don't forget to
await
async methods! -
Drop support: Only supports Python 3.10+.
-
ujson
: Usingujson
instead ofjson
. Some arguments aren't compatible withjson
[^1] -
Dev-Changes: Changes that only matter to developers (Who customise
Storage
,Query
, etc). -
Miscellaneous: Differences that only matter in edge cases.
New Features
-
Event Hooks: You can now use event hooks to hook into an operation. See Event Hooks for more details.
-
Redesigned ID & Doc Class: You can replace and customise them easily.
-
DB-level Caching: This significantly improves the performance of all operations. However, it may cause dirty reads with some types of storage [^disable-db-level].
-
Built-in
Modifier
: UseModifier
to easily compress, encrypt and extend types of your database. Sure you can do much more than these. (See Modifier) -
Isolation Level: Performance or ACID? It's up to you[^isolevel].
-
Atomic Write: Shipped with
JSONStorage
-
Batch Search By IDs:
search
method now takes an extradoc_ids
argument (works like an additional condition)
How to use it?
Installation
- Minimum:
pip install async-tinydb
- Encryption:
pip install async-tinydb[encryption]
- Compression:
pip install async-tinydb[compression]
- Full:
pip install async-tinydb[all]
Importing
import asynctinydb
Usage
Read the original TinyDB
documents. Insert an await
in front of async methods.
Notice that some codes are still blocking, for example, when calling len()
on TinyDB
or Table
Objects.
That's it.
Documents For Advanced Usage
Replacing ID & Document Class
NOTICE: Mixing classes in one table may cause errors!
When a table exists in a file, Async-TinyDB
won't determine its classes by itself, it is your duty to make sure classes are matching.
ID Classes
IncreID
: Default ID class, mimics the behaviours of the originalint
ID but requires much fewer IO operations.UUID
: Usesuuid.UUID
[^uuid-version].
Document Class
Document
: Default document class, usesdict
under the bonet.
from asynctinydb import TinyDB, UUID, IncreID, Document
db = TinyDB("database.db")
# Setting ID class to `UUID`, document class to `Document`
tab = db.table("table1", document_id_class=UUID, document_class=Document)
See Customisation for more details
Encryption
Currently only supports AES-GCM encryption.
There are two ways to use encryption:
1. Use EncryptedJSONStorage
directly
from asynctinydb import EncryptedJSONStorage, TinyDB
async def main():
db = TinyDB("db.json", key="your key goes here", storage=EncryptedJSONStorage)
2. Use Modifier
class
See Encryption
Isolation Level
When operating the TinyDB concurrently, there might be racing conditions.
Set a higher isolation level to mitigate this problem.
db.isolevel = 1
isolevel
:
- No isolation, best performance.
- Serialised(Atomic) CRUD operations. (Also ensures thread safety) (default)
- Deepcopy documents on insertion and retrieving. (CRUD) (Ensures
Index
&Query Cache
consistency)
DB-level caching
DB-level caching improves performance dramatically.
However, this may cause data inconsistency between Storage
and TinyDB
if the file that Storage
referred to is been shared.
To disable it:
db = TinyDB("./path", no_dbcache=True)
Example Codes:
Simple One
import asyncio
from asynctinydb import TinyDB, Query
async def main():
db = TinyDB('test.json')
await db.insert({"answer": 42})
print(await db.search(Query().answer == 42)) # >>> [{'answer': 42}]
asyncio.run(main())
Event Hooks Example
async def main():
db = TinyDB('test.json')
@db.storage.on.write.pre
async def mul(ev: str, s: Storage, data: dict):
data["_default"]["1"]['answer'] *= 2 # directly manipulate on data
@db.storage.on.write.post
async def _print(ev, s, anystr):
print(anystr) # print json dumped string
await db.insert({"answer": 21}) # insert() will trigger both write events
await db.close()
# Reload
db = TinyDB('test.json')
print(await db.search(Query().answer == 42)) # >>> [{'answer': 42}]
Customise ID Class
Inherit from BaseID
and implement the following methods, and then you are good to go.
from asynctinydb import BaseID
class MyID(BaseID):
def __init__(self, value: Any):
"""
You should be able to convert str into MyID instance if you want to use JSONStorage.
"""
def __str__(self) -> str:
"""
Optional.
It should be implemented if you want to use JSONStorage.
"""
def __hash__(self) -> int:
...
def __eq__(self, other: object) -> bool:
...
@classmethod
def next_id(cls, table: Table, keys) -> MyID:
"""
It should return a unique ID.
"""
@classmethod
def mark_existed(cls, table: Table, new_id):
"""
Marks an ID as existing; the same ID shouldn't be generated by next_id.
"""
@classmethod
def clear_cache(cls, table: Table):
"""
Clear cache of existing IDs, if such cache exists.
"""
Customise Document Class
from asynctinydb import BaseDocument
class MyDoc(BaseDocument):
"""
I am too lazy to write those necessary methods.
"""
Anyways, a BaseDocument class looks like this:
class BaseDocument(Mapping[IDVar, Any]):
@property
@abstractmethod
def doc_id(self) -> IDVar:
raise NotImplementedError()
@doc_id.setter
def doc_id(self, value: IDVar):
raise NotImplementedError()
Make sure you have implemented all the methods required by BaseDocument
class.
Dev-Changes
- Storage
closed
property: OriginalTinyDB
won't raise exceptions when operating on a closed file. Now the propertyclosed
ofStorage
classes is required to be implemented[^why-closed][^operating-on-closed]. - Storage data converting: The responsibility of converting the data to the correct type is transferred to the Storage[^2]
is_cacheable
method inQueryInstance
is changed tocacheable
property and will be deprecated.
Misc
- Lazy-load: File loading & dirs creating are delayed to the first IO operation.
CachingMiddleWare
:WRITE_CACHE_SIZE
is now instance-specific.
Example:TinyDB("test.db", storage=CachingMiddleWare(JSONStorage, 1024))
search
accepts optionalcond
, returns all docs if no arguments are providedget
andcontains
raisesValueError
instead ofRuntimeError
whencond
anddoc_id
are bothNone
LRUCache
storestuple
s of ids instead oflist
s of docssearch
andget
treatdoc_id
anddoc_ids
as extra conditions instead of ignoring conditions when IDs are provided. That is to say, whencond
anddoc_id(s)
are passed, they return docs satisfiescond
and is indoc_id(s)
.
[^1]: Why not orjson
? Because ujson
is fast enough and has more features.
[^2]: e.g. JSONStorage
needs to convert the keys to str
by itself.
[^UUID-version]:Currently using UUID4
[^disable-db-level]: See DB-level caching to learn how to disable this feature if it causes dirty reads.
[^isolevel]: See isolevel
[^why-closed]: This is for Middleware
classes to reliably determine whether the Storage
is closed, so they can raise IOError
[^operating-on-closed]: An IOError
should be raised when operating on closed storage.
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