class_docstr: This handler handles connection and execution of the LanceDB statements.
class_docstr_tok: ["This","handler","handles","connection","and","execution","of","the","LanceDB","statements","."]
code: def get_columns(self, table_name: str) -> HandlerResponse:
      # check if collection exists
      try:
          df = self._client.open_table(table_name).to_pandas()
          column_df = pd.DataFrame(df.dtypes).reset_index()
          column_df.columns = ["column_name", "data_type"]
      except ValueError:
          return Response(
              resp_type=RESPONSE_TYPE.ERROR,
              error_message=f"Table {table_name} does not exist!",
          )
      return Response(
          resp_type=RESPONSE_TYPE.TABLE, data_frame=column_df
      )
  
imports: from collections import OrderedDict
  from typing import List, Optional
  import lancedb
  import pandas
  import pyarrow
  from lance.vector import vec_to_table
  import duckdb
  import json
  from mindsdb.integrations.libs.const import HANDLER_CONNECTION_ARG_TYPE
  from mindsdb.integrations.libs.response import RESPONSE_TYPE
  from mindsdb.integrations.libs.response import HandlerResponse
  from mindsdb.integrations.libs.response import HandlerResponse
  from mindsdb.integrations.libs.response import HandlerStatusResponse
  from mindsdb.integrations.libs.vectordatabase_handler import FilterCondition, FilterOperator, TableField, VectorStoreHandler
  from mindsdb.utilities import log
label_desc: Use image node_id 16 for calling the LanceDBHandler obj's underlying member method code with example usage: obj.get_columns(table_name) and returns: Response, Response