[jvm-packages] refine tracker

jvm-packages/pom.xml

@@ -35,16 +35,17 @@
         <maven.compiler.target>1.8</maven.compiler.target>
         <flink.version>1.19.0</flink.version>
         <junit.version>4.13.2</junit.version>
-        <spark.version>3.4.1</spark.version>
-        <spark.version.gpu>3.4.1</spark.version.gpu>
+        <spark.version>3.5.1</spark.version>
+        <spark.version.gpu>3.5.1</spark.version.gpu>
+        <fasterxml.jackson.version>2.15.2</fasterxml.jackson.version>
         <scala.version>2.12.18</scala.version>
         <scala.binary.version>2.12</scala.binary.version>
         <hadoop.version>3.4.0</hadoop.version>
         <maven.wagon.http.retryHandler.count>5</maven.wagon.http.retryHandler.count>
         <log.capi.invocation>OFF</log.capi.invocation>
         <use.cuda>OFF</use.cuda>
-        <cudf.version>23.12.1</cudf.version>
-        <spark.rapids.version>23.12.1</spark.rapids.version>
+        <cudf.version>24.04.0</cudf.version>
+        <spark.rapids.version>24.04.0</spark.rapids.version>
         <cudf.classifier>cuda12</cudf.classifier>
         <scalatest.version>3.2.18</scalatest.version>
         <scala-collection-compat.version>2.12.0</scala-collection-compat.version>
@@ -489,11 +490,6 @@
             <artifactId>kryo</artifactId>
             <version>5.6.0</version>
         </dependency>
-        <dependency>
-            <groupId>com.fasterxml.jackson.core</groupId>
-            <artifactId>jackson-databind</artifactId>
-            <version>2.14.2</version>
-        </dependency>
         <dependency>
             <groupId>commons-logging</groupId>
             <artifactId>commons-logging</artifactId>

jvm-packages/xgboost4j-flink/src/main/java/ml/dmlc/xgboost4j/java/flink/XGBoost.java

@@ -176,7 +176,7 @@ public static XGBoostModel train(DataSet<Tuple2<Vector, Double>> dtrain,
         new RabitTracker(dtrain.getExecutionEnvironment().getParallelism());
     if (tracker.start()) {
       return dtrain
-        .mapPartition(new MapFunction(params, numBoostRound, tracker.workerArgs()))
+        .mapPartition(new MapFunction(params, numBoostRound, tracker.getWorkerArgs()))
         .reduce((x, y) -> x)
         .collect()
         .get(0);

jvm-packages/xgboost4j-spark-gpu/src/main/scala/ml/dmlc/xgboost4j/scala/rapids/spark/GpuPreXGBoost.scala

@@ -1,5 +1,5 @@
 /*
- Copyright (c) 2021-2022 by Contributors
+ Copyright (c) 2021-2024 by Contributors
 
  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
@@ -23,13 +23,13 @@ import ml.dmlc.xgboost4j.java.nvidia.spark.GpuColumnBatch
 import ml.dmlc.xgboost4j.scala.{Booster, DMatrix, QuantileDMatrix}
 import ml.dmlc.xgboost4j.scala.spark.params.XGBoostEstimatorCommon
 import ml.dmlc.xgboost4j.scala.spark.{PreXGBoost, PreXGBoostProvider, Watches, XGBoost, XGBoostClassificationModel, XGBoostClassifier, XGBoostExecutionParams, XGBoostRegressionModel, XGBoostRegressor}
-import org.apache.commons.logging.LogFactory
 
+import org.apache.commons.logging.LogFactory
 import org.apache.spark.{SparkContext, TaskContext}
 import org.apache.spark.ml.{Estimator, Model}
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.catalyst.{CatalystTypeConverters, InternalRow}
-import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.encoders.{ExpressionEncoder, RowEncoder}
 import org.apache.spark.sql.catalyst.expressions.UnsafeProjection
 import org.apache.spark.sql.functions.{col, collect_list, struct}
 import org.apache.spark.sql.types.{ArrayType, FloatType, StructField, StructType}
@@ -444,7 +444,7 @@ object GpuPreXGBoost extends PreXGBoostProvider {
       .groupBy(groupName)
       .agg(collect_list(struct(schema.fieldNames.map(col): _*)) as "list")
 
-    implicit val encoder = RowEncoder(schema)
+    implicit val encoder = ExpressionEncoder(RowEncoder.encoderFor(schema, false))
     // Expand the grouped rows after repartition
     repartitionInputData(groupedDF, nWorkers).mapPartitions(iter => {
       new Iterator[Row] {

jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoost.scala

@@ -233,24 +233,6 @@ private[this] class XGBoostExecutionParamsFactory(rawParams: Map[String, Any], s
     xgbExecParam.setRawParamMap(overridedParams)
     xgbExecParam
   }
-
-  private[spark] def buildRabitParams : Map[String, String] = Map(
-    "rabit_reduce_ring_mincount" ->
-      overridedParams.getOrElse("rabit_ring_reduce_threshold", 32 << 10).toString,
-    "rabit_debug" ->
-      (overridedParams.getOrElse("verbosity", 0).toString.toInt == 3).toString,
-    "rabit_timeout" ->
-      (overridedParams.getOrElse("rabit_timeout", -1).toString.toInt >= 0).toString,
-    "rabit_timeout_sec" -> {
-      if (overridedParams.getOrElse("rabit_timeout", -1).toString.toInt >= 0) {
-        overridedParams.get("rabit_timeout").toString
-      } else {
-        "1800"
-      }
-    },
-    "DMLC_WORKER_CONNECT_RETRY" ->
-      overridedParams.getOrElse("dmlc_worker_connect_retry", 5).toString
-  )
 }
 
 /**
@@ -475,17 +457,15 @@ object XGBoost extends XGBoostStageLevel {
     }
   }
 
-  /** visiable for testing */
-  private[scala] def getTracker(nWorkers: Int, trackerConf: TrackerConf): ITracker = {
-    val tracker: ITracker = new RabitTracker(
-      nWorkers, trackerConf.hostIp, trackerConf.port, trackerConf.timeout)
-    tracker
-  }
-
-  private def startTracker(nWorkers: Int, trackerConf: TrackerConf): ITracker = {
-    val tracker = getTracker(nWorkers, trackerConf)
+  // Executes the provided code block inside a tracker and then stops the tracker
+  private def withTracker[T](nWorkers: Int, conf: TrackerConf)(block: ITracker => T): T = {
+    val tracker = new RabitTracker(nWorkers, conf.hostIp, conf.port, conf.timeout)
     require(tracker.start(), "FAULT: Failed to start tracker")
-    tracker
+    try {
+      block(tracker)
+    } finally {
+      tracker.stop()
+    }
   }
 
   /**
@@ -501,55 +481,53 @@ object XGBoost extends XGBoostStageLevel {
     logger.info(s"Running XGBoost ${spark.VERSION} with parameters:\n${params.mkString("\n")}")
 
     val xgbParamsFactory = new XGBoostExecutionParamsFactory(params, sc)
-    val xgbExecParams = xgbParamsFactory.buildXGBRuntimeParams
-    val xgbRabitParams = xgbParamsFactory.buildRabitParams.asJava
+    val runtimeParams = xgbParamsFactory.buildXGBRuntimeParams
 
-    val prevBooster = xgbExecParams.checkpointParam.map { checkpointParam =>
+    val prevBooster = runtimeParams.checkpointParam.map { checkpointParam =>
       val checkpointManager = new ExternalCheckpointManager(
         checkpointParam.checkpointPath,
         FileSystem.get(sc.hadoopConfiguration))
-      checkpointManager.cleanUpHigherVersions(xgbExecParams.numRounds)
+      checkpointManager.cleanUpHigherVersions(runtimeParams.numRounds)
       checkpointManager.loadCheckpointAsScalaBooster()
     }.orNull
 
     // Get the training data RDD and the cachedRDD
-    val (trainingRDD, optionalCachedRDD) = buildTrainingData(xgbExecParams)
+    val (trainingRDD, optionalCachedRDD) = buildTrainingData(runtimeParams)
 
     try {
-      // Train for every ${savingRound} rounds and save the partially completed booster
-      val tracker = startTracker(xgbExecParams.numWorkers, xgbExecParams.trackerConf)
-      val (booster, metrics) = try {
-        tracker.workerArgs().putAll(xgbRabitParams)
-        val rabitEnv = tracker.workerArgs
+      val (booster, metrics) = withTracker(
+        runtimeParams.numWorkers,
+        runtimeParams.trackerConf
+      ) { tracker =>
+        val rabitEnv = tracker.getWorkerArgs()
 
-        val boostersAndMetrics = trainingRDD.barrier().mapPartitions { iter => {
+        val boostersAndMetrics = trainingRDD.barrier().mapPartitions { iter =>
           var optionWatches: Option[() => Watches] = None
 
           // take the first Watches to train
           if (iter.hasNext) {
             optionWatches = Some(iter.next())
           }
 
-          optionWatches.map { buildWatches => buildDistributedBooster(buildWatches,
-            xgbExecParams, rabitEnv, xgbExecParams.obj, xgbExecParams.eval, prevBooster)}
-            .getOrElse(throw new RuntimeException("No Watches to train"))
-
-        }}
+          optionWatches.map { buildWatches =>
+              buildDistributedBooster(buildWatches,
+                runtimeParams, rabitEnv, runtimeParams.obj, runtimeParams.eval, prevBooster)
+            }.getOrElse(throw new RuntimeException("No Watches to train"))
+        }
 
-        val boostersAndMetricsWithRes = tryStageLevelScheduling(sc, xgbExecParams,
+        val boostersAndMetricsWithRes = tryStageLevelScheduling(sc, runtimeParams,
           boostersAndMetrics)
         // The repartition step is to make training stage as ShuffleMapStage, so that when one
         // of the training task fails the training stage can retry. ResultStage won't retry when
         // it fails.
         val (booster, metrics) = boostersAndMetricsWithRes.repartition(1).collect()(0)
         (booster, metrics)
-      } finally {
-        tracker.stop()
       }
+
       // we should delete the checkpoint directory after a successful training
-      xgbExecParams.checkpointParam.foreach {
+      runtimeParams.checkpointParam.foreach {
         cpParam =>
-          if (!xgbExecParams.checkpointParam.get.skipCleanCheckpoint) {
+          if (!runtimeParams.checkpointParam.get.skipCleanCheckpoint) {
             val checkpointManager = new ExternalCheckpointManager(
               cpParam.checkpointPath,
               FileSystem.get(sc.hadoopConfiguration))

jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/CommunicatorRobustnessSuite.scala

@@ -45,7 +45,7 @@ class CommunicatorRobustnessSuite extends AnyFunSuite with PerTest {
 
     val tracker = new RabitTracker(numWorkers)
     tracker.start()
-    val trackerEnvs = tracker. workerArgs
+    val trackerEnvs = tracker.getWorkerArgs
 
     val workerCount: Int = numWorkers
     /*
@@ -84,7 +84,7 @@ class CommunicatorRobustnessSuite extends AnyFunSuite with PerTest {
     val rdd = sc.parallelize(1 to numWorkers, numWorkers).cache()
     val tracker = new RabitTracker(numWorkers)
     tracker.start()
-    val trackerEnvs = tracker.workerArgs
+    val trackerEnvs = tracker.getWorkerArgs
 
     val workerCount: Int = numWorkers
 

jvm-packages/xgboost4j/pom.xml

@@ -53,6 +53,12 @@
           <version>${scalatest.version}</version>
           <scope>provided</scope>
         </dependency>
+        <dependency>
+            <groupId>com.fasterxml.jackson.core</groupId>
+            <artifactId>jackson-databind</artifactId>
+            <version>${fasterxml.jackson.version}</version>
+            <scope>provided</scope>
+        </dependency>
     </dependencies>
 
     <build>

jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/ITracker.java

@@ -7,7 +7,7 @@
  *
  *  - start(timeout): Start the tracker awaiting for worker connections, with a given
  *  timeout value (in seconds).
- *  - workerArgs(): Return the arguments needed to initialize Rabit clients.
+ *  - getWorkerArgs(): Return the arguments needed to initialize Rabit clients.
  *  - waitFor(timeout): Wait for the task execution by the worker nodes for at most `timeout`
  *  milliseconds.
  *
@@ -21,21 +21,8 @@
  * brokers connections between workers.
  */
 public interface ITracker extends Thread.UncaughtExceptionHandler {
-  enum TrackerStatus {
-    SUCCESS(0), INTERRUPTED(1), TIMEOUT(2), FAILURE(3);
 
-    private int statusCode;
-
-    TrackerStatus(int statusCode) {
-      this.statusCode = statusCode;
-    }
-
-    public int getStatusCode() {
-      return this.statusCode;
-    }
-  }
-
-  Map<String, Object> workerArgs() throws XGBoostError;
+  Map<String, Object> getWorkerArgs() throws XGBoostError;
 
   boolean start() throws XGBoostError;
 

jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/RabitTracker.java

@@ -1,3 +1,19 @@
+/*
+ Copyright (c) 2014-2024 by Contributors
+
+ Licensed under the Apache License, Version 2.0 (the "License");
+ you may not use this file except in compliance with the License.
+ You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+ */
+
 package ml.dmlc.xgboost4j.java;
 
 import java.util.Map;
@@ -10,14 +26,12 @@
 
 /**
  * Java implementation of the Rabit tracker to coordinate distributed workers.
- *
- * The tracker must be started on driver node before running distributed jobs.
  */
 public class RabitTracker implements ITracker {
   // Maybe per tracker logger?
   private static final Log logger = LogFactory.getLog(RabitTracker.class);
   private long handle = 0;
-  private Thread tracker_daemon;
+  private Thread trackerDaemon;
 
   public RabitTracker(int numWorkers) throws XGBoostError {
     this(numWorkers, "");
@@ -44,24 +58,22 @@ public void uncaughtException(Thread t, Throwable e) {
     } catch (InterruptedException ex) {
       logger.error(ex);
     } finally {
-      this.tracker_daemon.interrupt();
+      this.trackerDaemon.interrupt();
     }
   }
 
   /**
    * Get environments that can be used to pass to worker.
    * @return The environment settings.
    */
-  public Map<String, Object> workerArgs() throws XGBoostError {
+  public Map<String, Object> getWorkerArgs() throws XGBoostError {
     // fixme: timeout
     String[] args = new String[1];
     XGBoostJNI.checkCall(XGBoostJNI.TrackerWorkerArgs(this.handle, 0, args));
     ObjectMapper mapper = new ObjectMapper();
-    TypeReference<Map<String, Object>> typeRef = new TypeReference<Map<String, Object>>() {
-    };
     Map<String, Object> config;
     try {
-      config = mapper.readValue(args[0], typeRef);
+      config = mapper.readValue(args[0], new TypeReference<Map<String, Object>>() {});
     } catch (JsonProcessingException ex) {
       throw new XGBoostError("Failed to get worker arguments.", ex);
     }
@@ -74,18 +86,18 @@ public void stop() throws XGBoostError {
 
   public boolean start() throws XGBoostError {
     XGBoostJNI.checkCall(XGBoostJNI.TrackerRun(this.handle));
-    this.tracker_daemon = new Thread(() -> {
+    this.trackerDaemon = new Thread(() -> {
       try {
-        XGBoostJNI.checkCall(XGBoostJNI.TrackerWaitFor(this.handle, 0));
+        waitFor(0);
       } catch (XGBoostError ex) {
         logger.error(ex);
         return; // exit the thread
       }
     });
-    this.tracker_daemon.setDaemon(true);
-    this.tracker_daemon.start();
+    this.trackerDaemon.setDaemon(true);
+    this.trackerDaemon.start();
 
-    return this.tracker_daemon.isAlive();
+    return this.trackerDaemon.isAlive();
   }
 
   public void waitFor(long timeout) throws XGBoostError {