Job Graph Management

/**
 * Represents a Flink dataflow program at the low level that the JobManager accepts.
 * All programs from higher level APIs are transformed into JobGraphs.
 */
public class JobGraph implements ExecutionPlan {
    /** Create a new JobGraph with the given name */
    public JobGraph(String jobName);
    
    /** Create a new JobGraph with specific ID and name */
    public JobGraph(JobID jobId, String jobName);
    
    /** Add a vertex to this job graph */
    public void addVertex(JobVertex vertex);
    
    /** Get all vertices in this job graph */
    public Collection<JobVertex> getVertices();
    
    /** Get specific vertex by ID */
    public JobVertex findVertexByID(JobVertexID id);
    
    /** Get the job ID */
    public JobID getJobID();
    
    /** Get the job name */
    public String getName();
    
    /** Set the job type (BATCH or STREAMING) */
    public void setJobType(JobType jobType);
    
    /** Get the job type */
    public JobType getJobType();
    
    /** Set whether this job uses dynamic graph changes */
    public void setDynamic(boolean dynamic);
    
    /** Check if this job uses dynamic graph changes */
    public boolean isDynamic();
    
    /** Get the job configuration */
    public Configuration getJobConfiguration();
    
    /** Set the job configuration */
    public void setJobConfiguration(Configuration jobConfiguration);
    
    /** Enable checkpointing for this job */
    public void setSnapshotSettings(JobCheckpointingSettings settings);
    
    /** Get checkpointing settings */
    public SerializedValue<JobCheckpointingSettings> getCheckpointingSettings();
    
    /** Set savepoint restore settings */
    public void setSavepointRestoreSettings(SavepointRestoreSettings settings);
    
    /** Get savepoint restore settings */
    public SavepointRestoreSettings getSavepointRestoreSettings();
}

// Create a basic job graph
JobGraph jobGraph = new JobGraph("Data Processing Pipeline");
jobGraph.setJobType(JobType.STREAMING);

// Configure job-level settings
Configuration jobConfig = new Configuration();
jobConfig.setString(ConfigConstants.FLINK_TM_JVM_PARAMS, "-Xmx1024m");
jobGraph.setJobConfiguration(jobConfig);

// Enable checkpointing
JobCheckpointingSettings checkpointSettings = new JobCheckpointingSettings(
    vertexIdsToTrigger,
    vertexIdsToWaitFor,
    vertexIdsToCommitTo,
    new CheckpointCoordinatorConfiguration.Builder()
        .setCheckpointInterval(5000L)
        .setCheckpointTimeout(60000L)
        .setMaxConcurrentCheckpoints(1)
        .build(),
    null
);
jobGraph.setSnapshotSettings(checkpointSettings);

/**
 * The base class for job vertices representing operations in the job graph.
 */
public class JobVertex implements Serializable {
    /** Create a job vertex with default name */
    public JobVertex(String name);
    
    /** Create a job vertex with specific ID and name */
    public JobVertex(String name, JobVertexID id);
    
    /** Get the vertex ID */
    public JobVertexID getId();
    
    /** Get the vertex name */
    public String getName();
    
    /** Set the name of this vertex */
    public void setName(String name);
    
    /** Set the parallelism for this vertex */
    public void setParallelism(int parallelism);
    
    /** Get the parallelism of this vertex */
    public int getParallelism();
    
    /** Set the maximum parallelism for this vertex */
    public void setMaxParallelism(int maxParallelism);
    
    /** Get the maximum parallelism of this vertex */
    public int getMaxParallelism();
    
    /** Set the invokable class that implements the vertex logic */
    public void setInvokableClass(Class<? extends TaskInvokable> invokable);
    
    /** Get the invokable class */
    public Class<? extends TaskInvokable> getInvokableClass();
    
    /** Set minimum resource requirements */
    public void setResources(ResourceSpec minResources, ResourceSpec preferredResources);
    
    /** Get minimum resource requirements */
    public ResourceSpec getMinResources();
    
    /** Get preferred resource requirements */
    public ResourceSpec getPreferredResources();
    
    /** Add a new data set as input from another vertex */
    public void connectNewDataSetAsInput(
        JobVertex input,
        DistributionPattern distPattern,
        ResultPartitionType partitionType
    );
    
    /** Connect to an existing intermediate data set */
    public void connectDataSetAsInput(
        IntermediateDataSet dataSet,
        DistributionPattern distPattern
    );
    
    /** Get all input edges */
    public List<JobEdge> getInputs();
    
    /** Get all produced data sets */
    public List<IntermediateDataSet> getProducedDataSets();
    
    /** Set slot sharing group for co-location */
    public void setSlotSharingGroup(SlotSharingGroup slotSharingGroup);
    
    /** Get slot sharing group */
    public SlotSharingGroup getSlotSharingGroup();
    
    /** Set co-location group for strict co-location */
    public void setCoLocationGroup(CoLocationGroup coLocationGroup);
    
    /** Get co-location group */
    public CoLocationGroup getCoLocationGroup();
    
    /** Add operator coordinator */
    public void addOperatorCoordinator(SerializedValue<OperatorCoordinator.Provider> coordinator);
    
    /** Get operator coordinators */
    public List<SerializedValue<OperatorCoordinator.Provider>> getOperatorCoordinators();
}

// Create source vertex
JobVertex sourceVertex = new JobVertex("Kafka Source");
sourceVertex.setParallelism(4);
sourceVertex.setInvokableClass(KafkaSourceTask.class);

// Set resource requirements
ResourceSpec minResources = ResourceSpec.newBuilder()
    .setCpuCores(1.0)
    .setHeapMemoryInMB(512)
    .build();
ResourceSpec preferredResources = ResourceSpec.newBuilder()
    .setCpuCores(2.0)
    .setHeapMemoryInMB(1024)
    .build();
sourceVertex.setResources(minResources, preferredResources);

// Create transformation vertex
JobVertex mapVertex = new JobVertex("Data Transformation");
mapVertex.setParallelism(8);
mapVertex.setInvokableClass(MapTask.class);

// Connect vertices
mapVertex.connectNewDataSetAsInput(
    sourceVertex,
    DistributionPattern.ALL_TO_ALL,
    ResultPartitionType.PIPELINED
);

// Set up slot sharing for efficient resource usage
SlotSharingGroup slotSharingGroup = new SlotSharingGroup();
sourceVertex.setSlotSharingGroup(slotSharingGroup);
mapVertex.setSlotSharingGroup(slotSharingGroup);

// Add vertices to job graph
jobGraph.addVertex(sourceVertex);
jobGraph.addVertex(mapVertex);

/**
 * Set input format for vertices that read from external sources
 */
public void setInputSplitSource(InputSplitSource<?> inputSplitSource);

/**
 * Get input split source
 */
public InputSplitSource<?> getInputSplitSource();

/**
 * Set configuration for this vertex
 */
public void setConfiguration(Configuration configuration);

/**
 * Get vertex configuration
 */
public Configuration getConfiguration();

/**
 * Set jar files needed by this vertex
 */
public void addJar(Path jarPath);

/**
 * Get jar files
 */
public List<Path> getJarFiles();

/**
 * Set classpath for this vertex
 */
public void addClasspaths(Collection<URL> classpaths);

/**
 * Get classpaths
 */
public Collection<URL> getUserClasspaths();

/**
 * Utility class for job graph operations
 */
public class JobGraphUtils {
    /** Validate job graph structure and configuration */
    public static void validateJobGraph(JobGraph jobGraph);
    
    /** Get topologically sorted vertices */
    public static List<JobVertex> getVerticesTopologically(JobGraph jobGraph);
    
    /** Check if job graph contains cycles */
    public static boolean hasCycles(JobGraph jobGraph);
    
    /** Calculate total resource requirements */
    public static ResourceProfile calculateTotalResources(JobGraph jobGraph);
}

// Job graph identifiers
public class JobVertexID implements Serializable {
    public JobVertexID();
    public JobVertexID(byte[] bytes);
    public static JobVertexID generate();
    public byte[] getBytes();
}

public class IntermediateDataSetID implements Serializable {
    public IntermediateDataSetID();
    public IntermediateDataSetID(byte[] bytes);
    public static IntermediateDataSetID generate();
}

// Distribution patterns
public enum DistributionPattern {
    /** Each producing task sends data to all consuming tasks */
    ALL_TO_ALL,
    /** Each producing task sends data to exactly one consuming task */
    POINTWISE
}

// Result partition types
public enum ResultPartitionType {
    /** Pipelined partitions for streaming data exchange */
    PIPELINED,
    /** Pipelined partitions with bounded buffer */
    PIPELINED_BOUNDED,
    /** Blocking partitions for batch processing */
    BLOCKING,
    /** Blocking partitions that can be consumed multiple times */
    BLOCKING_PERSISTENT
}

// Job types
public enum JobType {
    /** Batch processing job with finite input */
    BATCH("BATCH"),
    /** Streaming job with continuous data processing */
    STREAMING("STREAMING");
    
    private final String name;
    
    JobType(String name) {
        this.name = name;
    }
    
    public String getName() {
        return name;
    }
}

// Savepoint restore settings
public class SavepointRestoreSettings implements Serializable {
    public static SavepointRestoreSettings none();
    public static SavepointRestoreSettings forPath(String restorePath);
    public static SavepointRestoreSettings forPath(String restorePath, boolean allowNonRestoredState);
    
    public boolean restoreSavepoint();
    public String getRestorePath();
    public boolean allowNonRestoredState();
}