- TinyDB - Home
- TinyDB - Introduction
- TinyDB - Environmental Setup
- TinyDB - Insert Data
- TinyDB - Retrieve Data
- TinyDB - Update Data
- TinyDB - Delete Data
- TinyDB - Querying
- TinyDB - Searching
- TinyDB - The where Clause
- TinyDB - The Exists() Query
- TinyDB - The Matches() Query
- TinyDB - The Test() Query
- TinyDB - The Any() Query
- TinyDB - The All() Query
- TinyDB - The one_of() Query
- TinyDB - Logical Negate
- TinyDB - Logical AND
- TinyDB - Logical OR
- TinyDB - Handling Data Query
- TinyDB - Modifying the Data
- TinyDB - Upserting Data
- TinyDB - Retrieving Data
- TinyDB - Document ID
- TinyDB - Tables
- TinyDB - Default Table
- TinyDB - Caching Query
- TinyDB - Storage Types
- TinyDB - Middleware
- TinyDB - Extend TinyDB
- TinyDB - Extensions
- TinyDB Useful Resources
- TinyDB - Quick Guide
- TinyDB - Useful Resources
- TinyDB - Discussion
TinyDB - Searching
TinyDB provides the search() method to help you search any data from a document. Along with the query() object, the search() method can be used to find the data in a JSON file. We have various ways in which we can use the search() method on a TinyDB database.
Method 1: TinyDB search() with Existence of a Field
We can search the data from a database based on the existence of a field. Let's understand it with an example. For this and other examples, we will be using the following student database.
[
{
"roll_number":1,
"st_name":"elen",
"mark":250,
"subject":"TinyDB",
"address":"delhi"
},
{
"roll_number":2,
"st_name":"Ram",
"mark":[
250,
280
],
"subject":[
"TinyDB",
"MySQL"
],
"address":"delhi"
},
{
"roll_number":3,
"st_name":"kevin",
"mark":[
180,
200
],
"subject":[
"oracle",
"sql"
],
"address":"keral"
},
{
"roll_number":4,
"st_name":"lakan",
"mark":200,
"subject":"MySQL",
"address":"mumbai"
},
{
"roll_number":5,
"st_name":"karan",
"mark":275,
"subject":"TinyDB",
"address":"benglore"
}
]
Example
The search query based on the existence of a field is as follows −
from tinydb import Query student = Query() db.search(student.address.exists())
The above query will retrieve the following data from the student file −
[
{
"roll_number":1,
"st_name":"elen",
"mark":250,
"subject":"TinyDB",
"address":"delhi"
},
{
"roll_number":2,
"st_name":"Ram",
"mark":[
250,
280
],
"subject":[
"TinyDB",
"MySQL"
],
"address":"delhi"
},
{
"roll_number":3,
"st_name":"kevin",
"mark":[
180,
200
],
"subject":[
"oracle",
"sql"
],
"address":"keral"
},
{
"roll_number":4,
"st_name":"lakan",
"mark":200,
"subject":"MySQL",
"address":"mumbai"
},
{
"roll_number":5,
"st_name":"karan",
"mark":275,
"subject":"TinyDB",
"address":"benglore"
}
]
Method 2: TinyDB search() with Regular Expression
We can search for a particular data from a database using regular expression (Regex). Let's understand how it works with a couple of examples.
Example 1
Full item search matching the Regular Expression −
from tinydb import Query
student = Query()
db.search(student.st_name.matches('[aZ]*'))
This query will produce the following output −
[
{
"roll_number":1,
"st_name":"elen",
"mark":250,
"subject":"TinyDB",
"address":"delhi"
},
{
"roll_number":2,
"st_name":"Ram",
"mark":[
250,
280
],
"subject":[
"TinyDB",
"MySQL"
],
"address":"delhi"
},
{
"roll_number":3,
"st_name":"kevin",
"mark":[
180,
200
],
"subject":[
"oracle",
"sql"
],
"address":"keral"
},
{
"roll_number":4,
"st_name":"lakan",
"mark":200,
"subject":"MySQL",
"address":"mumbai"
},
{
"roll_number":5,
"st_name":"karan",
"mark":275,
"subject":"TinyDB",
"address":"benglore"
}
]
Example-2
Case-sensitive search with Regular Expression −
from tinydb import Query
import re
student = Query()
db.search(student.st_name.matches('lakan', flags=re.IGNORECASE))
It wil produce the following output −
[{
'roll_number': 4,
'st_name': 'lakan',
'mark': 200,
'subject': 'MySQL',
'address': 'mumbai'
}]
Example-3
Any part of the item matching with Regular Expression −
from tinydb import Query
student = Query()
db.search(student.st_name.search('r+'))
This query will produce the following output −
[{
'roll_number': 5,
'st_name': 'karan',
'mark': 275,
'subject': 'TinyDB',
'address': 'benglore'
}]
Method 3: TinyDB search() using a Substring
We can also use a substring while searching for a particular data from a TinyDB database. Let's understand how it works with a couple of examples −
Example-1
Take a look at this query; it will fetch the all the rows where the "address" field is "delhi".
from tinydb import Query student = Query() db.search(student['address'] == 'delhi')
It will produce the following output −
[
{
"roll_number":1,
"st_name":"elen",
"mark":250,
"subject":"TinyDB",
"address":"delhi"
},
{
"roll_number":2,
"st_name":"Ram",
"mark":[
250,
280
],
"subject":[
"TinyDB",
"MySQL"
],
"address":"delhi"
}
]
Example-2
In this query, we have used a slightly different syntax for the search() method.
from tinydb import Query
student = Query()
db.search(student.address.search('mumbai'))
It will fetch all the rows where the "address" field is "mumbai".
[{
'roll_number': 4,
'st_name': 'lakan',
'mark': 200,
'subject': 'MySQL',
'address': 'mumbai'
}]