我正在尝试从junit测试中的如下字符串创建一个数据集。

SparkSession sparkSession = SparkSession.builder().appName("Job Test").master("local[*]")
                .getOrCreate();
        String some1_json = readFileAsString("some1.json");
        String some2_json = readFileAsString("some2.json");
        String id = "some_id";

        List<String[]> rowStrs = new ArrayList<>();
        rowStrs.add(new String[] {some_id, some1_json, some2_json});

        JavaSparkContext javaSparkContext = new JavaSparkContext(sparkSession.sparkContext());
        JavaRDD<Row> rowRDD = javaSparkContext.parallelize(rowStrs).map(RowFactory::create);
        StructType schema = new StructType(new StructField[]{
                DataTypes.createStructField("id", DataTypes.StringType, false),
                DataTypes.createStructField("some1_json", DataTypes.StringType, false),
                DataTypes.createStructField("some2_json", DataTypes.StringType, false)});

        Dataset<Row> datasetUnderTest = sparkSession.sqlContext().createDataFrame(rowRDD, schema);
        datasetUnderTest.show();

但我看到下面这个错误

java.lang.ExceptionInInitializerError
    at org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:103)
    at org.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:102)
    at org.apache.spark.sql.internal.BaseSessionStateBuilder.catalog$lzycompute(BaseSessionStateBuilder.scala:133)
...
....
Caused by: java.lang.UnsupportedOperationException: Not implemented by the DistributedFileSystem FileSystem implementation
    at org.apache.hadoop.fs.FileSystem.getScheme(FileSystem.java:215)
    at org.apache.hadoop.fs.FileSystem.loadFileSystems(FileSystem.java:2284)
...
...

我错过了什么？我的主要方法很好，但这个测试失败了。看起来有些东西没有从类路径正确读取。