code: def json(
      self,
      path: str,
      schema: Optional[Union[StructType, str]] = None,
      primitivesAsString: Optional[Union[bool, str]] = None,
      prefersDecimal: Optional[Union[bool, str]] = None,
      allowComments: Optional[Union[bool, str]] = None,
      allowUnquotedFieldNames: Optional[Union[bool, str]] = None,
      allowSingleQuotes: Optional[Union[bool, str]] = None,
      allowNumericLeadingZero: Optional[Union[bool, str]] = None,
      allowBackslashEscapingAnyCharacter: Optional[
          Union[bool, str]
      ] = None,
      mode: Optional[str] = None,
      columnNameOfCorruptRecord: Optional[str] = None,
      dateFormat: Optional[str] = None,
      timestampFormat: Optional[str] = None,
      multiLine: Optional[Union[bool, str]] = None,
      allowUnquotedControlChars: Optional[Union[bool, str]] = None,
      lineSep: Optional[str] = None,
      locale: Optional[str] = None,
      dropFieldIfAllNull: Optional[Union[bool, str]] = None,
      encoding: Optional[str] = None,
      pathGlobFilter: Optional[Union[bool, str]] = None,
      recursiveFileLookup: Optional[Union[bool, str]] = None,
      allowNonNumericNumbers: Optional[Union[bool, str]] = None,
  ) -> "DataFrame":
      self._set_opts(
          schema=schema,
          primitivesAsString=primitivesAsString,
          prefersDecimal=prefersDecimal,
          allowComments=allowComments,
          allowUnquotedFieldNames=allowUnquotedFieldNames,
          allowSingleQuotes=allowSingleQuotes,
          allowNumericLeadingZero=allowNumericLeadingZero,
          allowBackslashEscapingAnyCharacter=allowBackslashEscapingAnyCharacter,
          mode=mode,
          columnNameOfCorruptRecord=columnNameOfCorruptRecord,
          dateFormat=dateFormat,
          timestampFormat=timestampFormat,
          multiLine=multiLine,
          allowUnquotedControlChars=allowUnquotedControlChars,
          lineSep=lineSep,
          locale=locale,
          dropFieldIfAllNull=dropFieldIfAllNull,
          encoding=encoding,
          pathGlobFilter=pathGlobFilter,
          recursiveFileLookup=recursiveFileLookup,
          allowNonNumericNumbers=allowNonNumericNumbers,
      )
      if isinstance(path, str):
          return self.load(path=path, format="json")
      else:
          raise PySparkTypeError(
              error_class="NOT_STR",
              message_parameters={
                  "arg_name": "path",
                  "arg_type": type(path).__name__,
              },
          )
  
imports: from pyspark.sql.connect.utils import check_dependencies
  import sys
  import pickle
  from typing import cast, overload, Callable, Dict, List, Optional, TYPE_CHECKING, Union
  from pyspark.serializers import CloudPickleSerializer
  from pyspark.sql.connect.plan import DataSource, LogicalPlan, Read, WriteStreamOperation
  import pyspark.sql.connect.proto
  from pyspark.sql.connect.readwriter import OptionUtils, to_str
  from pyspark.sql.connect.streaming.query import StreamingQuery
  from pyspark.sql.streaming.readwriter import DataStreamReader, DataStreamWriter
  from pyspark.sql.connect.utils import get_python_ver
  from pyspark.sql.types import Row, StructType
  from pyspark.errors import PySparkTypeError, PySparkValueError, PySparkPicklingError
label_desc: Use image node_id 8 for calling the DataStreamReader obj's underlying member method code with example usage: obj.json(path, schema, primitivesAsString, prefersDecimal, allowComments, allowUnquotedFieldNames, allowSingleQuotes, allowNumericLeadingZero, allowBackslashEscapingAnyCharacter, mode, columnNameOfCorruptRecord, dateFormat, timestampFormat, multiLine, allowUnquotedControlChars, lineSep, locale, dropFieldIfAllNull, encoding, pathGlobFilter, recursiveFileLookup, allowNonNumericNumbers) and returns: self