class_docstr: SQL connectors are used to connect to SQL databases in different dialects.
class_docstr_tok: ["SQL","connectors","are","used","to","connect","to","SQL","databases","in","different","dialects","."]
docstr: Execute the SQL query and return the result.
  
  Returns:
      DataFrame: The result of the SQL query.
docstr_tok: ["Execute","the","SQL","query","and","return","the","result",".","Returns",":","DataFrame",":","The","result","of","the","SQL","query","."]
code: def execute(self):
      """
      Execute the SQL query and return the result.
  
      Returns:
          DataFrame: The result of the SQL query.
      """
  
      if cached := self._cached() or self._cached(
          include_additional_filters=True
      ):
          return pd.read_csv(cached)
  
      if self.logger:
          self.logger.log(
              f"Loading the table {self._config.table} "
              f"using dialect {self._config.dialect}"
          )
  
      # Run a SQL query to get all the results
      query = self._build_query()
  
      # Get the result of the query
      result = pd.read_sql(query, self._connection)
  
      # Save the result to the cache
      self._save_cache(result)
  
      # Return the result
      return result
  
imports: import re
  import os
  import pandas
  from pandasai.exceptions import MaliciousQueryError
  from .base import BaseConnector, SQLConnectorConfig, SqliteConnectorConfig
  from .base import BaseConnectorConfig
  from sqlalchemy import create_engine, text, select, asc
  from sqlalchemy.engine import Connection
  from functools import cached_property, cache
  import hashlib
  from ..helpers.path import find_project_root
  from ..constants import DEFAULT_FILE_PERMISSIONS
  from typing import Union
  import time
label_desc: Use image node_id 12 for calling the SQLConnector obj's underlying member method code with example usage: obj.execute() and returns: result, pd