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Cosmos DB (in Azure and Fabric) supports queries with parameters expressed by the familiar @ notation. Parameterized SQL provides robust handling and escaping of user input, and prevents accidental exposure of data through SQL injection.
Examples
For example, you can write a query that takes upperPriceLimit as a parameter, and execute it for various values of price based on user input.
SELECT
*
FROM
p
WHERE
(NOT p.onSale) AND
(p.price BETWEEN 0 AND @upperPriceLimit)
You can then send this request to Cosmos DB as a parameterized JSON query object.
{
"query": "SELECT * FROM p WHERE (NOT p.onSale) AND (p.price BETWEEN 0 AND @upperPriceLimit)",
"parameters": [
{
"name": "@upperPriceLimit",
"value": 100
}
]
}
This next example sets the TOP argument with a parameterized query:
{
"query": "SELECT TOP @pageSize * FROM products",
"parameters": [
{
"name": "@pageSize",
"value": 10
}
]
}
Parameter values can be any valid JSON: strings, numbers, booleans, null, even arrays or nested JSON. Since Cosmos DB is schemaless, parameters aren't validated against any type.
Here are examples for parameterized queries in each Cosmos DB SDK: