Azure SQL firewall rules - Time & Space Complexity

Time Complexity: Azure SQL firewall rules

O(n)

Understanding Time Complexity

When managing Azure SQL firewall rules, it's important to understand how the time to apply rules grows as you add more rules.

We want to know how the number of firewall rules affects the time it takes to update or check them.

Scenario Under Consideration

Analyze the time complexity of adding multiple firewall rules to an Azure SQL server.

// Add multiple firewall rules
for (int i = 0; i < n; i++) {
    az sql server firewall-rule create \
      --resource-group MyResourceGroup \
      --server MyServer \
      --name RuleName$i \
      --start-ip-address 0.0.0.$i \
      --end-ip-address 0.0.0.$i
}

This sequence adds n firewall rules, each allowing a specific IP address range.

Identify Repeating Operations

Identify the API calls, resource provisioning, data transfers that repeat.

• Primary operation: Creating a firewall rule via an API call for each rule.
• How many times: Exactly n times, once per rule.

How Execution Grows With Input

Each new rule requires a separate API call, so the total time grows directly with the number of rules.

Input Size (n)	Approx. Api Calls/Operations
10	10
100	100
1000	1000

Pattern observation: The number of API calls increases one-to-one with the number of rules added.

Final Time Complexity

Time Complexity: O(n)

This means the time to add firewall rules grows linearly as you add more rules.

Common Mistake

[X] Wrong: "Adding multiple firewall rules happens instantly regardless of how many rules there are."

[OK] Correct: Each rule requires a separate API call, so more rules mean more time to process.

Interview Connect

Understanding how operations scale with input size helps you design efficient cloud management scripts and anticipate delays.

Self-Check

What if we changed the process to batch add multiple firewall rules in a single API call? How would the time complexity change?