Spark：实现行转列

示例JAVA代码：

import static org.apache.spark.sql.functions.col;
import static org.apache.spark.sql.functions.split;
import static org.apache.spark.sql.functions.explode;

import java.util.ArrayList;
import java.util.List;

import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;

public class TestSparkSqlSplit {
    public static void main(String[] args){
        SparkSession sparkSession =SparkSession.builder().appName("test").master("local[*]").getOrCreate();
        List<MyEntity> items=new ArrayList<MyEntity>();
        MyEntity myEntity=new MyEntity();
        myEntity.setId("scene_id1,scene_name1;scene_id2,scene_name2|id1");
        myEntity.setName("name");
        myEntity.setFields("other");
        items.add(myEntity);
        
        sparkSession.createDataFrame(items, MyEntity.class).createOrReplaceTempView("test");
        
        Dataset<Row> rows=sparkSession.sql("select * from test");
        rows = rows.withColumn("id", explode(split(split(col("id"), "\\|").getItem(0), ";")));
        
        rows=rows.withColumn("id1",split(rows.col("id"),",").getItem(0))
                .withColumn("name1",split(rows.col("id"),",").getItem(1));
        
        rows=rows.withColumn("id",rows.col("id1"))
                .withColumn("name",rows.col("name1"));
        
        rows=rows.drop("id1","name1");
        
        rows.show();
        
        sparkSession.stop();        
    }
}

MyEntity.java

import java.io.Serializable;

public class MyEntity implements Serializable{
    private String id;
    private String name;
    private String fields;
    public String getId() {
        return id;
    }
    public void setId(String id) {
        this.id = id;
    }
    public String getName() {
        return name;
    }
    public void setName(String name) {
        this.name = name;
    }
    public String getFields() {
        return fields;
    }
    public void setFields(String fields) {
        this.fields = fields;
    }
    
}

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