31.1 Stream Concepts
This topic teaches Stream Concepts as part of Streams. Learn the purpose first, then inspect the syntax and test it with small inputs before using it in production.
Code example
import java.util.*;
public class Main { public static void main(String[] args){ var out=List.of(1,2,3,4,5,6).stream().filter(n->n%2==0).map(n->n*10).toList(); System.out.println(out); } }Step-by-step explanation
- Identify the values, objects, tables, or resources used by the example.
- Read each statement in execution order.
- Predict what the program or query should produce.
- Run it in a safe local/test environment.
- Change one input and explain the new result.
Expected output/result
You should see a small result that demonstrates Stream Concepts. Exact formatting can differ by runtime, client, database state, operating system, or tool version.
Common mistakes
Watch for invalid input, unchecked errors, incorrect type assumptions, missing cleanup, unsafe permissions, injection risks, or code/query logic that handles only the happy path.
Practice exercise
Rebuild this example with your own data. Add one edge case, predict the result before running it, and explain why the final result is correct.
31.2 Creating Pipelines
This topic teaches Creating Pipelines as part of Streams. Learn the purpose first, then inspect the syntax and test it with small inputs before using it in production.
Code example
public class Main { public static void main(String[] args) { // Creating Pipelines
System.out.println("Java example"); } }Step-by-step explanation
- Identify the values, objects, tables, or resources used by the example.
- Read each statement in execution order.
- Predict what the program or query should produce.
- Run it in a safe local/test environment.
- Change one input and explain the new result.
Expected output/result
You should see a small result that demonstrates Creating Pipelines. Exact formatting can differ by runtime, client, database state, operating system, or tool version.
Common mistakes
Watch for invalid input, unchecked errors, incorrect type assumptions, missing cleanup, unsafe permissions, injection risks, or code/query logic that handles only the happy path.
Practice exercise
Rebuild this example with your own data. Add one edge case, predict the result before running it, and explain why the final result is correct.
31.3 Filtering/Mapping
This topic teaches Filtering/Mapping as part of Streams. Learn the purpose first, then inspect the syntax and test it with small inputs before using it in production.
Code example
public class Main { public static void main(String[] args) { // Filtering/Mapping
System.out.println("Java example"); } }Step-by-step explanation
- Identify the values, objects, tables, or resources used by the example.
- Read each statement in execution order.
- Predict what the program or query should produce.
- Run it in a safe local/test environment.
- Change one input and explain the new result.
Expected output/result
You should see a small result that demonstrates Filtering/Mapping. Exact formatting can differ by runtime, client, database state, operating system, or tool version.
Common mistakes
Watch for invalid input, unchecked errors, incorrect type assumptions, missing cleanup, unsafe permissions, injection risks, or code/query logic that handles only the happy path.
Practice exercise
Rebuild this example with your own data. Add one edge case, predict the result before running it, and explain why the final result is correct.
31.4 Collecting/Aggregating
This topic teaches Collecting/Aggregating as part of Streams. Learn the purpose first, then inspect the syntax and test it with small inputs before using it in production.
Code example
public class Main { public static void main(String[] args) { // Collecting/Aggregating
System.out.println("Java example"); } }Step-by-step explanation
- Identify the values, objects, tables, or resources used by the example.
- Read each statement in execution order.
- Predict what the program or query should produce.
- Run it in a safe local/test environment.
- Change one input and explain the new result.
Expected output/result
You should see a small result that demonstrates Collecting/Aggregating. Exact formatting can differ by runtime, client, database state, operating system, or tool version.
Common mistakes
Watch for invalid input, unchecked errors, incorrect type assumptions, missing cleanup, unsafe permissions, injection risks, or code/query logic that handles only the happy path.
Practice exercise
Rebuild this example with your own data. Add one edge case, predict the result before running it, and explain why the final result is correct.
31.5 Performance and Side Effects
This topic teaches Performance and Side Effects as part of Streams. Learn the purpose first, then inspect the syntax and test it with small inputs before using it in production.
Code example
public class Main { public static void main(String[] args) { // Performance and Side Effects
System.out.println("Java example"); } }Step-by-step explanation
- Identify the values, objects, tables, or resources used by the example.
- Read each statement in execution order.
- Predict what the program or query should produce.
- Run it in a safe local/test environment.
- Change one input and explain the new result.
Expected output/result
You should see a small result that demonstrates Performance and Side Effects. Exact formatting can differ by runtime, client, database state, operating system, or tool version.
Common mistakes
Watch for invalid input, unchecked errors, incorrect type assumptions, missing cleanup, unsafe permissions, injection risks, or code/query logic that handles only the happy path.
Practice exercise
Rebuild this example with your own data. Add one edge case, predict the result before running it, and explain why the final result is correct.
10 Questions & Answers
1. What should you know about Stream Concepts?
Know the purpose, syntax, inputs, result, edge cases, common errors, and the security or performance concern where applicable.
2. What should you know about Creating Pipelines?
Know the purpose, syntax, inputs, result, edge cases, common errors, and the security or performance concern where applicable.
3. What should you know about Filtering/Mapping?
Know the purpose, syntax, inputs, result, edge cases, common errors, and the security or performance concern where applicable.
4. What should you know about Collecting/Aggregating?
Know the purpose, syntax, inputs, result, edge cases, common errors, and the security or performance concern where applicable.
5. What should you know about Performance and Side Effects?
Know the purpose, syntax, inputs, result, edge cases, common errors, and the security or performance concern where applicable.
6. What should you know about Stream Concepts?
Know the purpose, syntax, inputs, result, edge cases, common errors, and the security or performance concern where applicable.
7. What should you know about Creating Pipelines?
Know the purpose, syntax, inputs, result, edge cases, common errors, and the security or performance concern where applicable.
8. What should you know about Filtering/Mapping?
Know the purpose, syntax, inputs, result, edge cases, common errors, and the security or performance concern where applicable.
9. What should you know about Collecting/Aggregating?
Know the purpose, syntax, inputs, result, edge cases, common errors, and the security or performance concern where applicable.
10. What should you know about Performance and Side Effects?
Know the purpose, syntax, inputs, result, edge cases, common errors, and the security or performance concern where applicable.