StackOverflow when computing MatrixFactorizationModel.recommendProductsForUsers

[Ram VISWANADHA]

Hi,
I am getting this StackOverflowError when fetching recommendations from ALS. 
Any help is much appreciated

int features = 100;
        double alpha = 0.1;
        double lambda = 0.001;
        boolean implicit = true;
        int iterations = 10;
        ALS als = new ALS()
                .setCheckpointInterval(2)
                .setImplicitPrefs(true)
                .setAlpha(alpha)
                .setLambda(lambda)
                .setIterations(iterations)
                .setRank(features)
                .setBlocks(1000)
                
.setIntermediateRDDStorageLevel(StorageLevel.MEMORY_AND_DISK_SER_2());
        MatrixFactorizationModel matrixFactorizationModel = 
als.run(ratingJavaRDD);
        matrixFactorizationModel.save(jsc.sc(), 
outDir+"/matrixFactorizationModel");
LOGGER.info("Fetching the recommendations for all users");
JavaRDD<Tuple2<Object, Rating[]>> recos = matrixFactorizationModel
.recommendProductsForUsers(100)
.toJavaRDD()
.coalesce(100)
.cache();

recos.checkpoint();
LOGGER.info("Number of users {} who have recommendations", recos.count());

6/01/22 18:10:21 WARN yarn.ApplicationMaster: Reporter thread fails 1 time(s) 
in a row.
java.lang.StackOverflowError
        at 
scala.collection.TraversableLike$$anonfun$filter$1.apply(TraversableLike.scala:264)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
        at 
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)


Best Regards,
Ram