xxx不是字符串模式的有效外部类型

Question

我尝试使用sparksession createDataframe函数，我不断收到错误。 xxx不是字符串模式的有效外部类型。 xxx可以是Arrays $ ArrayList和Ljava.lang.String。

这是创建行的代码

List<StructField> structfields = new ArrayList<StructField>();
for(ColumnMetaData c : metadata){
            System.out.println(c.getColumnName());
            structfields.add(DataTypes.createStructField( c.getColumnName(), DataTypes.StringType, false ));

        }

        StructType schema = DataTypes.createStructType(structfields);

我制作这样的架构

JavaRDD<Row> rdd = sc.parallelize(all_rows);
Dataset<Row> new_ds = spark.createDataFrame(rdd,schema);

我创建了数据集

staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, validateexternaltype(getexternalrowfield(assertnotnull(input[0, org.apache.spark.sql.Row, true], top level row object), 1, l_linestatus), StringType), true) AS l_linestatus#469
+- staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, validateexternaltype(getexternalrowfield(assertnotnull(input[0, org.apache.spark.sql.Row, true], top level row object), 1, l_linestatus), StringType), true)
   +- validateexternaltype(getexternalrowfield(assertnotnull(input[0, org.apache.spark.sql.Row, true], top level row object), 1, l_linestatus), StringType)
      +- getexternalrowfield(assertnotnull(input[0, org.apache.spark.sql.Row, true], top level row object), 1, l_linestatus)
         +- assertnotnull(input[0, org.apache.spark.sql.Row, true], top level row object)
            +- input[0, org.apache.spark.sql.Row, true]

我确实参考了this，但似乎答案对我不起作用。

还有来自spark的日志

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