Kaizer supports a full suite of SQL operations, optimized for the demands of decentralized data processing. Our SQL engine is built to handle complex queries, high throughput, and large-scale data operations with sub-millisecond latency, ensuring that your data interactions are both fast and reliable. Kaizer enhances traditional SQL with advanced features and extensions specifically designed to operate within our Advanced Computational Data Matrix (ACDM).
Supported SQL Features
- Complex Joins and Subqueries:
- Kaizer’s SQL engine supports complex joins across multiple tables, allowing for sophisticated data relationships and analysis. Subqueries can be nested to any depth, enabling intricate data retrievals and manipulations.
- Example:
sqlSELECT orders.order_id, customers.name FROM orders INNER JOIN customers ON orders.customer_id = customers.customer_id WHERE orders.total > 1000;
- Window Functions:
- Window functions allow for advanced data aggregation and analysis over specified data partitions. These functions can compute running totals, moving averages, and rank values within a result set.
- Example:
sqlSELECT employee_id, salary, RANK() OVER (ORDER BY salary DESC) AS salary_rank FROM employee_salaries;
- Index and Partition Management:
- Efficient data retrieval is supported through Kaizer’s indexing and partitioning capabilities. Indexes can be created on frequently queried columns to accelerate search operations, while partitioning divides large tables into manageable segments for faster query execution.
- Example:
sqlCREATE INDEX idx_orders_date ON orders(order_date);
- Cryptographic Query Validation with zkQVC:
- All SQL queries in Kaizer undergo cryptographic validation using the zkQVC protocol. This ensures that queries are tamperproof and that their execution can be verified without exposing sensitive data. This feature is particularly valuable in regulated industries requiring provable data integrity.