Learn Partiql - 10 Code Examples & CST Typing Practice Test
PartiQL is a SQL-compatible, open-source query language designed for querying structured, semi-structured, and nested data uniformly. It allows SQL-style queries over relational databases, NoSQL systems like DynamoDB, document stores, and nested data formats such as JSON-all without data transformation.
Learn PARTIQL with Real Code Examples
Updated Nov 18, 2025
Code Sample Descriptions
Basic PartiQL Queries
SELECT name, age FROM users
WHERE age > 25;
UPDATE users
SET age = 31
WHERE id = 'user_123';
Querying and modifying data in DynamoDB using PartiQL.
Insert Item PartiQL
INSERT INTO users VALUE {
'id': 'user_456',
'name': 'Charlie',
'age': 28
};
Inserting a new item into DynamoDB with PartiQL.
Delete Item PartiQL
DELETE FROM users
WHERE id = 'user_123';
Deleting an item by primary key in DynamoDB.
Conditional Update PartiQL
UPDATE users
SET age = 40
WHERE id = 'user_456' AND age < 35;
Updating an item only if a condition matches.
Select With Projection PartiQL
SELECT name, email
FROM users
WHERE active = true;
Querying only specific attributes from a table.
Batch Insert PartiQL
INSERT INTO users VALUE {
'id': 'user_789', 'name': 'Dana', 'age': 22
},
{
'id': 'user_790', 'name': 'Eli', 'age': 35
};
Inserting multiple items into a DynamoDB table.
Select With IN Clause PartiQL
SELECT * FROM users
WHERE id IN ['user_123', 'user_456', 'user_789'];
Selecting items using the IN clause.
Select With BETWEEN PartiQL
SELECT name, age
FROM users
WHERE age BETWEEN 20 AND 30;
Querying numeric ranges with BETWEEN.
Nested Attribute PartiQL
SELECT address.city, address.zip
FROM users
WHERE id = 'user_789';
Accessing nested attributes inside a DynamoDB item.
Order By PartiQL
SELECT name, age
FROM users
ORDER BY age DESC;
Sorting query results using ORDER BY.
Frequently Asked Questions about Partiql
What is Partiql?
PartiQL is a SQL-compatible, open-source query language designed for querying structured, semi-structured, and nested data uniformly. It allows SQL-style queries over relational databases, NoSQL systems like DynamoDB, document stores, and nested data formats such as JSON-all without data transformation.
What are the primary use cases for Partiql?
Querying DynamoDB using SQL-like syntax. Querying nested JSON objects. Federated querying across relational and NoSQL stores. Serverless analytics without ETL. Schema-flexible applications. Data lakes with mixed formats
What are the strengths of Partiql?
Uniform SQL querying across data models. Excellent for semi-structured cloud data. Reduces ETL complexity. Developer-friendly for SQL users. Works seamlessly with DynamoDB
What are the limitations of Partiql?
Not a full SQL replacement for all engines. Feature completeness varies by implementation. Complex nested queries can get verbose. Performance depends on backend (e.g., DynamoDB capacity)
How can I practice Partiql typing speed?
CodeSpeedTest offers 10+ real Partiql code examples for typing practice. You can measure your WPM, track accuracy, and improve your coding speed with guided exercises.