Artifact and Resource Management

/**
 * Configuration for selecting plugin artifacts during ETL pipeline execution
 */
public class ArtifactSelectorConfig {
    /**
     * Create default artifact selector (empty configuration)
     */
    public ArtifactSelectorConfig();
    
    /**
     * Create artifact selector with specific scope, name, and version
     * @param scope artifact scope (e.g., "SYSTEM", "USER")
     * @param name artifact name
     * @param version artifact version
     */
    public ArtifactSelectorConfig(String scope, String name, String version);
    
    /**
     * Get artifact scope
     * @return artifact scope identifier, may be null
     */
    public String getScope();
    
    /**
     * Get artifact name
     * @return artifact name, may be null
     */
    public String getName();
    
    /**
     * Get artifact version
     * @return artifact version string, may be null
     */
    public String getVersion();
}

import co.cask.cdap.etl.proto.ArtifactSelectorConfig;

// System artifact selection (built-in plugins)
ArtifactSelectorConfig systemArtifact = new ArtifactSelectorConfig(
    "SYSTEM",
    "core-plugins", 
    "2.8.0"
);

// User artifact selection (custom plugins)
ArtifactSelectorConfig userArtifact = new ArtifactSelectorConfig(
    "USER",
    "custom-analytics-plugins",
    "1.2.0"
);

// Default artifact selection (no specific requirements)
ArtifactSelectorConfig defaultArtifact = new ArtifactSelectorConfig();

// Use with plugin configuration
Map<String, String> pluginProps = new HashMap<>();
pluginProps.put("algorithm", "advanced");
pluginProps.put("threshold", "0.85");

ETLPlugin pluginWithArtifact = new ETLPlugin(
    "CustomTransform",
    "transform",
    pluginProps,
    userArtifact
);

// Environment-specific artifact selection
String environment = System.getenv("CDAP_ENV");
ArtifactSelectorConfig envSpecificArtifact = new ArtifactSelectorConfig(
    "SYSTEM",
    "core-plugins",
    environment.equals("prod") ? "2.8.0" : "2.9.0-SNAPSHOT"
);

/**
 * Resource allocation configuration for pipeline components
 */
public class Resources {
    /**
     * Create resource configuration with memory and CPU specification
     * @param memoryMB memory allocation in megabytes
     * @param virtualCores number of virtual CPU cores
     */
    public Resources(int memoryMB, int virtualCores);
    
    /**
     * Create default resource configuration (1024 MB, 1 core)
     */
    public Resources();
    
    /**
     * Get memory allocation
     * @return memory in megabytes
     */
    public int getMemoryMB();
    
    /**
     * Get CPU core allocation
     * @return number of virtual cores
     */
    public int getVirtualCores();
}

import co.cask.cdap.api.Resources;

// Basic resource configurations
Resources smallPipeline = new Resources(1024, 1);      // 1GB, 1 core
Resources mediumPipeline = new Resources(4096, 4);     // 4GB, 4 cores  
Resources largePipeline = new Resources(16384, 16);    // 16GB, 16 cores

// Default resources
Resources defaultResources = new Resources();  // 1GB, 1 core

// Component-specific resource allocation
Resources driverResources = new Resources(2048, 2);    // Driver: 2GB, 2 cores
Resources executorResources = new Resources(8192, 8);  // Executor: 8GB, 8 cores
Resources clientResources = new Resources(512, 1);     // Client: 512MB, 1 core

// Configure pipeline with different resource tiers
ETLBatchConfig resourceOptimizedConfig = ETLBatchConfig.builder()
    .setResources(executorResources)           // Main execution resources
    .setDriverResources(driverResources)       // Driver resources
    .setClientResources(clientResources)       // Client resources
    .addStage(sourceStage)
    .addStage(transformStage)
    .addStage(sinkStage)
    .build();

// Dynamic resource allocation based on data volume
public Resources calculateResourcesForDataVolume(long recordCount) {
    if (recordCount < 1_000_000) {
        return new Resources(2048, 2);         // < 1M records
    } else if (recordCount < 10_000_000) {
        return new Resources(8192, 8);         // 1M-10M records
    } else {
        return new Resources(32768, 32);       // > 10M records
    }
}

// Development environment with latest snapshots
public class DevelopmentArtifactSelector {
    public static ArtifactSelectorConfig getCorePluins() {
        return new ArtifactSelectorConfig("SYSTEM", "core-plugins", "3.0.0-SNAPSHOT");
    }
    
    public static ArtifactSelectorConfig getCustomPlugins() {
        return new ArtifactSelectorConfig("USER", "dev-plugins", "latest");
    }
}

// Production environment with stable versions
public class ProductionArtifactSelector {
    public static ArtifactSelectorConfig getCorePlugins() {
        return new ArtifactSelectorConfig("SYSTEM", "core-plugins", "2.8.0");
    }
    
    public static ArtifactSelectorConfig getCustomPlugins() {
        return new ArtifactSelectorConfig("USER", "analytics-plugins", "1.5.2");
    }
}

// Conditional artifact selection
public ArtifactSelectorConfig selectArtifact(String pluginName, String environment) {
    switch (environment.toLowerCase()) {
        case "prod":
            return ProductionArtifactSelector.getCorePlugins();
        case "staging":
            return new ArtifactSelectorConfig("SYSTEM", "core-plugins", "2.8.1-RC1");
        case "dev":
        default:
            return DevelopmentArtifactSelector.getCorePluins();
    }
}

// Artifact selection based on plugin capabilities
public class PluginArtifactResolver {
    private static final Map<String, ArtifactSelectorConfig> PLUGIN_ARTIFACTS = new HashMap<>();
    
    static {
        // Core plugins
        PLUGIN_ARTIFACTS.put("Table", new ArtifactSelectorConfig("SYSTEM", "core-plugins", "2.8.0"));
        PLUGIN_ARTIFACTS.put("File", new ArtifactSelectorConfig("SYSTEM", "core-plugins", "2.8.0"));
        PLUGIN_ARTIFACTS.put("Database", new ArtifactSelectorConfig("SYSTEM", "database-plugins", "2.8.0"));
        
        // Advanced analytics plugins
        PLUGIN_ARTIFACTS.put("MLTransform", new ArtifactSelectorConfig("USER", "ml-plugins", "2.1.0"));
        PLUGIN_ARTIFACTS.put("TensorFlow", new ArtifactSelectorConfig("USER", "tensorflow-plugins", "1.3.0"));
        
        // Cloud-specific plugins
        PLUGIN_ARTIFACTS.put("BigQuery", new ArtifactSelectorConfig("SYSTEM", "gcp-plugins", "0.20.0"));
        PLUGIN_ARTIFACTS.put("S3", new ArtifactSelectorConfig("SYSTEM", "aws-plugins", "0.15.0"));
    }
    
    public static ArtifactSelectorConfig resolveArtifact(String pluginName) {
        return PLUGIN_ARTIFACTS.getOrDefault(pluginName, new ArtifactSelectorConfig());
    }
}

// Usage in plugin creation
ETLPlugin createPluginWithArtifact(String pluginName, String pluginType, Map<String, String> properties) {
    ArtifactSelectorConfig artifact = PluginArtifactResolver.resolveArtifact(pluginName);
    return new ETLPlugin(pluginName, pluginType, properties, artifact);
}

public class ResourceOptimizer {
    
    /**
     * Calculate optimal resources based on input data characteristics
     */
    public static Resources optimizeForDataVolume(DataVolumeMetrics metrics) {
        long recordCount = metrics.getRecordCount();
        long avgRecordSize = metrics.getAvgRecordSizeBytes();
        int transformComplexity = metrics.getTransformComplexityScore();
        
        // Base resource calculation
        int baseMemoryMB = 1024;
        int baseCores = 1;
        
        // Scale based on record count
        if (recordCount > 10_000_000) {
            baseMemoryMB *= 8;
            baseCores *= 8;
        } else if (recordCount > 1_000_000) {
            baseMemoryMB *= 4;
            baseCores *= 4;
        } else if (recordCount > 100_000) {
            baseMemoryMB *= 2;
            baseCores *= 2;
        }
        
        // Adjust for record size
        if (avgRecordSize > 1024) {  // Large records (>1KB)
            baseMemoryMB *= 2;
        }
        
        // Adjust for transform complexity
        if (transformComplexity > 7) {  // Complex transformations
            baseCores *= 2;
            baseMemoryMB = Math.max(baseMemoryMB, 4096);
        }
        
        // Apply resource limits
        baseMemoryMB = Math.min(baseMemoryMB, 65536);  // Max 64GB
        baseCores = Math.min(baseCores, 64);           // Max 64 cores
        
        return new Resources(baseMemoryMB, baseCores);
    }
    
    /**
     * Optimize resources for streaming pipelines
     */
    public static Resources optimizeForStreaming(String batchInterval, int expectedThroughput) {
        int intervalSeconds = parseBatchInterval(batchInterval);
        
        // More frequent batches need more resources
        int memoryMB = 2048;
        int cores = 2;
        
        if (intervalSeconds < 60) {  // Sub-minute batches
            memoryMB *= 4;
            cores *= 4;
        } else if (intervalSeconds < 300) {  // Sub-5-minute batches
            memoryMB *= 2;
            cores *= 2;
        }
        
        // Scale based on throughput
        if (expectedThroughput > 10000) {  // High throughput
            memoryMB *= 2;
            cores *= 2;
        }
        
        return new Resources(memoryMB, cores);
    }
    
    private static int parseBatchInterval(String interval) {
        // Parse interval strings like "30s", "5m", "1h"
        if (interval.endsWith("s")) {
            return Integer.parseInt(interval.substring(0, interval.length() - 1));
        } else if (interval.endsWith("m")) {
            return Integer.parseInt(interval.substring(0, interval.length() - 1)) * 60;
        } else if (interval.endsWith("h")) {
            return Integer.parseInt(interval.substring(0, interval.length() - 1)) * 3600;
        }
        return 60; // Default to 1 minute
    }
}

public class EnvironmentResourceManager {
    
    public static class ResourceProfile {
        public final Resources executor;
        public final Resources driver;
        public final Resources client;
        
        public ResourceProfile(Resources executor, Resources driver, Resources client) {
            this.executor = executor;
            this.driver = driver;
            this.client = client;
        }
    }
    
    // Predefined resource profiles for different environments
    public static final ResourceProfile DEVELOPMENT = new ResourceProfile(
        new Resources(1024, 1),   // Small executor
        new Resources(512, 1),    // Minimal driver
        new Resources(256, 1)     // Minimal client
    );
    
    public static final ResourceProfile TESTING = new ResourceProfile(
        new Resources(2048, 2),   // Medium executor
        new Resources(1024, 1),   // Small driver
        new Resources(512, 1)     // Small client
    );
    
    public static final ResourceProfile PRODUCTION = new ResourceProfile(
        new Resources(8192, 8),   // Large executor
        new Resources(4096, 4),   // Medium driver
        new Resources(1024, 2)    // Medium client
    );
    
    public static final ResourceProfile HIGH_VOLUME = new ResourceProfile(
        new Resources(32768, 32), // XL executor
        new Resources(8192, 8),   // Large driver
        new Resources(2048, 4)    // Large client
    );
    
    public static ResourceProfile getProfileForEnvironment(String environment) {
        switch (environment.toLowerCase()) {
            case "prod":
            case "production":
                return PRODUCTION;
            case "staging":
            case "test":
                return TESTING;
            case "high-volume":
            case "batch":
                return HIGH_VOLUME;
            case "dev":
            case "development":
            default:
                return DEVELOPMENT;
        }
    }
    
    // Apply resource profile to pipeline configuration
    public static ETLBatchConfig.Builder applyResourceProfile(
        ETLBatchConfig.Builder builder, ResourceProfile profile) {
        return builder
            .setResources(profile.executor)
            .setDriverResources(profile.driver)
            .setClientResources(profile.client);
    }
}

// Usage example
String environment = System.getProperty("environment", "dev");
ResourceProfile profile = EnvironmentResourceManager.getProfileForEnvironment(environment);

ETLBatchConfig config = EnvironmentResourceManager.applyResourceProfile(
    ETLBatchConfig.builder(), profile)
    .addStage(sourceStage)
    .addStage(transformStage)
    .addStage(sinkStage)
    .build();

/**
 * Resource monitoring and adjustment utilities
 */
public class ResourceMonitor {
    
    /**
     * Monitor pipeline resource usage and suggest optimizations
     */
    public static ResourceRecommendation analyzeResourceUsage(PipelineExecutionMetrics metrics) {
        double cpuUtilization = metrics.getAvgCpuUtilization();
        double memoryUtilization = metrics.getAvgMemoryUtilization();
        long executionTimeMs = metrics.getExecutionTimeMs();
        
        ResourceRecommendation recommendation = new ResourceRecommendation();
        
        // CPU optimization
        if (cpuUtilization < 30) {
            recommendation.suggestCpuReduction();
        } else if (cpuUtilization > 90) {
            recommendation.suggestCpuIncrease();
        }
        
        // Memory optimization
        if (memoryUtilization < 40) {
            recommendation.suggestMemoryReduction();
        } else if (memoryUtilization > 85) {
            recommendation.suggestMemoryIncrease();
        }
        
        // Execution time optimization
        if (executionTimeMs > metrics.getSlaTimeMs()) {
            recommendation.suggestPerformanceImprovement();
        }
        
        return recommendation;
    }
    
    /**
     * Auto-scale resources based on historical performance
     */
    public static Resources autoScaleResources(Resources current, List<PipelineExecutionMetrics> history) {
        if (history.isEmpty()) {
            return current;
        }
        
        // Calculate average resource utilization
        double avgCpuUtil = history.stream()
            .mapToDouble(PipelineExecutionMetrics::getAvgCpuUtilization)
            .average()
            .orElse(50.0);
            
        double avgMemoryUtil = history.stream()
            .mapToDouble(PipelineExecutionMetrics::getAvgMemoryUtilization)
            .average()
            .orElse(50.0);
        
        // Scale conservatively
        int newCores = current.getVirtualCores();
        int newMemoryMB = current.getMemoryMB();
        
        if (avgCpuUtil > 80) {
            newCores = Math.min(newCores * 2, 64);
        } else if (avgCpuUtil < 20) {
            newCores = Math.max(newCores / 2, 1);
        }
        
        if (avgMemoryUtil > 80) {
            newMemoryMB = Math.min(newMemoryMB * 2, 65536);
        } else if (avgMemoryUtil < 30) {
            newMemoryMB = Math.max(newMemoryMB / 2, 512);
        }
        
        return new Resources(newMemoryMB, newCores);
    }
}