I want to use guava.BloomFilter in Spark Application. So I need to make BloomFilter serializable by defining a class name SerializableStringBloomFilter which imply Serializable. But according to the log, method readObject and writeObject do not work properly. The value in stage of mapPartitions is normal, but the property bloomFilter is null after reduce stage.

I have a java spark application where I need to create a dataset object. The trick is that it has multiple layers to it, creating issues when using createDataFrame(...) method. The (dummy) schema for my dataset can be defined as below:

While trying to write Spark (v4.0-preview1) Dataframe to database table (SQL Server) with JDBC driver. Getting the following error.

I have Java/Spring and Spark/Java Repos. Spring one is using Spark in order to write data to the sources.
I have similar to below code

If I have a Dataset<Foo> where Foo contains a method returning Optional<Bar>

`String outputPath = “D:springboot-studytestpriceagaindependencyTAta4j-masterta4j-examplessrcmainjavasrcmlcnnpaperresources3output” + outputFile + “.csv”;

`String outputPath = “D:springboot-studytestpriceagaindependencyTAta4j-masterta4j-examplessrcmainjavasrcmlcnnpaperresources3output” + outputFile + “.csv”;

If I have a Spark Dataset, I can do the following operations :

I have a multi level partitioned data as follows.