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A/B testing with split_clients in Nginx - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the purpose of the split_clients directive in nginx?
The split_clients directive is used to divide incoming traffic into different groups or buckets for A/B testing or traffic splitting based on a variable like client IP or cookie.
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beginner
How does split_clients assign users to different groups?
It uses a hashing function on a variable (like $remote_addr) to consistently assign users to groups with specified percentages, ensuring the same user sees the same variant.
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intermediate
Write a simple split_clients example that splits traffic 50/50 between two groups named variant_a and variant_b.
split_clients "$remote_addr" $variant { 50% "variant_a"; * "variant_b"; }
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intermediate
Why is it important that split_clients uses a consistent hashing method?
Consistency ensures that the same user is always assigned to the same group, which avoids confusion and maintains a stable user experience during A/B testing.
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intermediate
Can split_clients be used with any variable? Give an example.
Yes, it can use any variable like $cookie_user, $remote_addr, or $request_uri. For example, splitting by cookie:
split_clients "$cookie_user" $group {
30% "test";
* "control";
}
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What does the split_clients directive in nginx primarily do?
ASplits traffic into groups for testing
BBlocks unwanted IP addresses
CCaches static files
DRedirects users to HTTPS
Which variable is commonly used with split_clients to assign users consistently?
A$http_user_agent
B$remote_addr
C$request_method
D$server_name
In split_clients "$remote_addr" $group { 50% "A"; * "B"; }, what does the asterisk (*) mean?
AMultiply percentage by 2
BEnd of configuration
CDefault catch-all group
DIgnore this group
Why is consistent user assignment important in A/B testing with split_clients?
ATo keep user experience stable
BTo speed up server response
CTo reduce bandwidth usage
DTo encrypt user data
Can split_clients split traffic based on cookies?
ANo, only server variables
BNo, only IP addresses
CNo, only request headers
DYes, it can use cookie variables
Explain how nginx's split_clients directive helps in A/B testing and why consistent user assignment matters.
Think about how you would divide visitors into groups and keep them seeing the same version.
You got /3 concepts.
    Describe a simple nginx configuration using split_clients to split traffic 70% to group A and 30% to group B.
    Remember to use the asterisk (*) for the remaining percentage.
    You got /3 concepts.

      Practice

      (1/5)
      1. What is the main purpose of the split_clients directive in nginx for A/B testing?
      easy
      A. To redirect all traffic to a single URL
      B. To cache static files for faster loading
      C. To compress responses before sending to clients
      D. To divide visitors into groups based on a variable for testing different versions

      Solution

      1. Step 1: Understand the role of split_clients

        The split_clients directive is designed to split traffic into groups based on a variable like IP or cookie.
      2. Step 2: Connect to A/B testing purpose

        This splitting allows serving different site versions to different groups, which is the core of A/B testing.
      3. Final Answer:

        To divide visitors into groups based on a variable for testing different versions -> Option D
      4. Quick Check:

        split_clients divides visitors for testing [OK]
      Hint: Remember: split_clients splits visitors into groups [OK]
      Common Mistakes:
      • Confusing split_clients with caching directives
      • Thinking it redirects all traffic to one URL
      • Assuming it compresses responses
      2. Which of the following is the correct syntax to use split_clients in nginx to split traffic by cookie $cookie_user into two groups: 50% 'A' and 50% 'B'?
      easy
      A. split_clients $cookie_user $variant { 50% A; 50% B; }
      B. split_clients $cookie_user { 50% A; 50% B; }
      C. split_clients $cookie_user $variant { 50 A; 50 B; }
      D. split_clients $cookie_user $variant { 50% "A"; 50% "B"; }

      Solution

      1. Step 1: Review split_clients syntax

        The correct syntax requires specifying the source variable, the destination variable, and the percentage groups with semicolons.
      2. Step 2: Check each option

        split_clients $cookie_user $variant { 50% A; 50% B; } correctly uses split_clients $cookie_user $variant { 50% A; 50% B; }. split_clients $cookie_user { 50% A; 50% B; } misses the destination variable. split_clients $cookie_user $variant { 50 A; 50 B; } lacks the percent sign. split_clients $cookie_user $variant { 50% "A"; 50% "B"; } incorrectly quotes the group names.
      3. Final Answer:

        split_clients $cookie_user $variant { 50% A; 50% B; } -> Option A
      4. Quick Check:

        Syntax requires source, destination, and percent groups [OK]
      Hint: Syntax: split_clients source_var dest_var { percent group; } [OK]
      Common Mistakes:
      • Omitting the destination variable
      • Forgetting percent signs (%)
      • Using quotes around group names
      3. Given this nginx config snippet:
      split_clients $remote_addr $group {
        30% A;
        70% B;
      }
      
      server {
        location / {
          if ($group = A) {
            return 200 'Group A content';
          }
          return 200 'Group B content';
        }
      }

      What response do 70% of visitors receive?
      medium
      A. Group A content
      B. Error: invalid syntax
      C. Group B content
      D. No response, connection closed

      Solution

      1. Step 1: Understand split_clients distribution

        The split_clients directive splits visitors by IP into 30% group A and 70% group B.
      2. Step 2: Identify the majority group

        The configuration assigns 70% of visitors to group B based on the hash distribution, so they receive 'Group B content'.
      3. Final Answer:

        Group B content -> Option C
      4. Quick Check:

        70% of visitors get Group B content [OK]
      Hint: Larger split_clients percentage gets more visitors [OK]
      Common Mistakes:
      • Assuming visitors always get Group A content
      • Thinking syntax error occurs
      • Misunderstanding the traffic split percentages
      4. You wrote this nginx config:
      split_clients $cookie_user $group {
        50% A
        50% B
      }

      But nginx fails to start. What is the error?
      medium
      A. Percentages must add up to 1000%
      B. Missing semicolons after percentage groups
      C. Destination variable $group is not declared
      D. Using $cookie_user instead of $remote_addr

      Solution

      1. Step 1: Check syntax for split_clients block

        Each percentage group line must end with a semicolon (;). The config misses semicolons after '50% A' and '50% B'.
      2. Step 2: Validate other options

        Using $cookie_user is valid. $group is declared as destination variable. Percentages add to 100%, not 1000%.
      3. Final Answer:

        Missing semicolons after percentage groups -> Option B
      4. Quick Check:

        Each group line ends with ; [OK]
      Hint: Always end split_clients group lines with semicolons [OK]
      Common Mistakes:
      • Forgetting semicolons after group percentages
      • Thinking variable names must be IP only
      • Misreading percentage sums
      5. You want to run an A/B test with three groups: 20% 'A', 30% 'B', and 50% 'C'. You also want to ensure users stay in the same group on repeat visits using a cookie $cookie_user. Which nginx config snippet correctly implements this?
      hard
      A. split_clients $cookie_user $group { 20% A; 30% B; 50% C; } server { location / { if ($group = A) { return 200 'A version'; } if ($group = B) { return 200 'B version'; } return 200 'C version'; } }
      B. split_clients $remote_addr $group { 20% A; 30% B; 50% C; } server { location / { if ($group = A) { return 200 'A version'; } if ($group = B) { return 200 'B version'; } return 200 'C version'; } }
      C. split_clients $cookie_user $group { 20 A; 30 B; 50 C; } server { location / { if ($group = A) { return 200 'A version'; } if ($group = B) { return 200 'B version'; } return 200 'C version'; } }
      D. split_clients $cookie_user $group { 20% A 30% B 50% C } server { location / { if ($group = A) { return 200 'A version'; } if ($group = B) { return 200 'B version'; } return 200 'C version'; } }

      Solution

      1. Step 1: Confirm correct split_clients syntax and variable

        split_clients $cookie_user $group { 20% A; 30% B; 50% C; } server { location / { if ($group = A) { return 200 'A version'; } if ($group = B) { return 200 'B version'; } return 200 'C version'; } } uses $cookie_user to keep users in the same group on repeat visits and correctly uses percentages with semicolons.
      2. Step 2: Check other options for errors

        split_clients $remote_addr $group { 20% A; 30% B; 50% C; } server { location / { if ($group = A) { return 200 'A version'; } if ($group = B) { return 200 'B version'; } return 200 'C version'; } } uses $remote_addr which may change and not guarantee consistent grouping. split_clients $cookie_user $group { 20 A; 30 B; 50 C; } server { location / { if ($group = A) { return 200 'A version'; } if ($group = B) { return 200 'B version'; } return 200 'C version'; } } misses percent signs. split_clients $cookie_user $group { 20% A 30% B 50% C } server { location / { if ($group = A) { return 200 'A version'; } if ($group = B) { return 200 'B version'; } return 200 'C version'; } } misses semicolons after group lines.
      3. Final Answer:

        split_clients $cookie_user $group { 20% A; 30% B; 50% C; } server { location / { if ($group = A) { return 200 'A version'; } if ($group = B) { return 200 'B version'; } return 200 'C version'; } } -> Option A
      4. Quick Check:

        Use cookie variable and proper syntax for consistent groups [OK]
      Hint: Use cookie variable and semicolons for stable multi-group split [OK]
      Common Mistakes:
      • Using IP instead of cookie for consistent user grouping
      • Omitting percent signs or semicolons
      • Misordering or missing group percentages
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