Example code for hands-on experience with Spark.
Example List#
Environment Setup#
Configure project environment for integrating Java/Spring Boot with Spark.
- Gradle dependency configuration
- SparkSession bean setup
- Considerations for Spring Boot and Spark integration
- Resolving logging conflicts
Basic Examples#
Basic examples utilizing Spark’s core features.
- Data loading (CSV, JSON, Parquet)
- Data transformation and filtering
- Aggregation and grouping
- Join operations
- SQL queries
- Real public dataset examples (NYC Taxi, Kaggle)
Monitoring Setup#
Monitoring configuration for stable operation of Spark applications in production environments.
- Spark UI / History Server setup
- Prometheus + Grafana integration
- Custom metrics implementation
- Structured logging (Log4j2, JSON)
- Alert configuration
Spring Boot Integration#
Spark and Spring Boot integration patterns for Java/Spring developers.
- SparkSession bean configuration and profile settings
- Service layer patterns (sync/async)
- REST API integration
- Integration testing
- Java vs Scala comparison
ETL Pipeline#
Complete ETL pipeline examples ready for production environments.
- Abstract ETL job class (Template Method pattern)
- Data cleaning utilities
- Incremental ETL (CDC, Upsert)
- Error handling and retry logic
- Spring scheduling integration
Before Running Examples#
Prerequisites#
- Java 17+
- Gradle 8.x or Maven 3.x
- IDE (IntelliJ IDEA, VS Code, etc.)
Common Gradle Setup#
plugins {
id 'java'
id 'org.springframework.boot' version '3.2.0'
id 'io.spring.dependency-management' version '1.1.4'
}
java {
sourceCompatibility = '17'
}
repositories {
mavenCentral()
}
dependencies {
// Spark
implementation 'org.apache.spark:spark-core_2.13:3.5.1'
implementation 'org.apache.spark:spark-sql_2.13:3.5.1'
// Spring Boot (optional)
implementation 'org.springframework.boot:spring-boot-starter'
// Logging (conflict prevention)
implementation 'org.slf4j:slf4j-simple:2.0.9'
}
configurations.all {
exclude group: 'org.slf4j', module: 'slf4j-log4j12'
exclude group: 'log4j', module: 'log4j'
}Next Steps#
After completing the examples:
- Performance Tuning - Code optimization strategies
- Deployment - Production deployment
- Appendix - Glossary, FAQ