code: def test_read_json(self):
      file_path = os.path.join(self.resource_path, "orca/data/json")
      data_shard = bigdl.orca.data.pandas.read_json(file_path)
      data = data_shard.collect()
      df = data[0]
      assert "timestamp" in df.columns and "value" in df.columns
      data_shard = bigdl.orca.data.pandas.read_json(
          file_path, names=["time", "value"]
      )
      data = data_shard.collect()
      df2 = data[0]
      assert "time" in df2.columns and "value" in df2.columns
      data_shard = bigdl.orca.data.pandas.read_json(
          file_path, usecols=[0]
      )
      data = data_shard.collect()
      df3 = data[0]
      assert "timestamp" in df3.columns and "value" not in df3.columns
      data_shard = bigdl.orca.data.pandas.read_json(
          file_path, dtype={"value": "float"}
      )
      data = data_shard.collect()
      df4 = data[0]
      assert df4.value.dtype == "float64"
  
file_path: BigDL/python/orca/test/bigdl/orca/data/test_spark_backend.py
imports: import os.path
  import pytest
  from unittest import TestCase
  import shutil
  import bigdl.orca.data
  import bigdl.orca.data.pandas
  from bigdl.dllib.nncontext import *
  from bigdl.orca.data.transformer import *
label_desc: Use image node_id 4 for calling the TestXShardsSparkBackend obj's underlying member method code with example usage: obj.test_read_json() without return types