class_docstr: This handler handles connection and exectuin of Google BigQuery statements
docstr: Show details about the table
docstr_tok: ["Show","details","about","the","table"]
code: def get_columns(self, table_name) -> Response:
      """
      Show details about the table
      """
      q = f"SELECT column_name, data_type, FROM \
              `{self.connection_data['project_id']}.{self.connection_data['dataset']}.INFORMATION_SCHEMA.COLUMNS` WHERE table_name = '{table_name}'"
      result = self.native_query(q)
      return result
  
imports: import os
  import json
  from collections import OrderedDict
  from google.cloud import bigquery
  from google.oauth2 import service_account
  from sqlalchemy_bigquery.base import BigQueryDialect
  from mindsdb_sql.parser.ast.base import ASTNode
  from mindsdb_sql.render.sqlalchemy_render import SqlalchemyRender
  from mindsdb.integrations.libs.base import DatabaseHandler
  from mindsdb.integrations.libs.const import HANDLER_CONNECTION_ARG_TYPE
  from mindsdb.integrations.libs.response import HandlerStatusResponse, HandlerResponse, RESPONSE_TYPE
  from mindsdb.utilities import log
label_desc: Use image node_id 9 for calling the BigQueryHandler obj's underlying member method code with example usage: obj.get_columns(table_name) and returns: result