Usage

Instantiate Collection

Create a collection to store the documents (equivalent to a table in SQL)

from rockydb import RockyDB

db = RockyDB('database/') # specify the path to store the database
posts = db.collection("posts") # creating a collection named "posts"

Basic Usage

Insert

Store a document in the database

insert(doc: dict)

Parameters

doc (required) - dict

If there is no _id field in the document, an _id will be randomly generated. The document supports the following data-types: int, str, float, bool and list.

Example

doc_id = posts.insert({
    "title": "A Housing Crisis Has More Politicians Saying Yes to Big Real Estate",
    "author": "Mihir Zaveri",
    "year": 2022,
    "source": "https://www.nytimes.com/2022/10/16/nyregion/politicians-housing-crisis-real-estate.html",
})

Returns the _id of the document

Get

Retrieves a document from the database using its _id.

get(id: str)

Parameters

id (required) - str

Example

doc = posts.get("DBDV73BQ")

Returns the document if it exists, otherwise will return None.

Delete

Deletes a document from the database using its _id .

delete(id: str)

Parameters

id (required) - str

Example

posts.delete("DBDV73BQ")

Returns True if document was found and deleted, otherwise will return False.

Find

Returns documents that match a query

find(query: dict, limit: int = 10)

Parameters

query (required) - dict

• The query key corresponds to the document key and the query value corresponds to its value in the document.

limit (optional) - int, default is 10

Example

docs = posts.query({"title": "some value", "year": 2022})

The above query translates to ("title" == "some value") AND ("year" == 2022). There is currently no support for OR type queries. Its currently being implemented.

Can also search for lt (less-than), lte (less-than equals), gt (greater-than) and gte (greater-than equals). To do so, place a ? after the key in the query, and type lt or any of the other options.

Example

docs = posts.query({"year?lte": 2050})

Returns a list containing all the documents found. list will be empty if no documents matched the query.