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  # to you under the Apache License, Version 2.0 (the
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  # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  # KIND, either express or implied.  See the License for the
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  """
  This module contains operator to move data from MySQL to Druid.
  """
  
  from collections import OrderedDict
  from tempfile import NamedTemporaryFile
  from typing import Dict, Optional
  
  import MySQLdb
  import unicodecsv as csv
  
  from airflow.models import BaseOperator
  from airflow.providers.apache.hive.hooks.hive import HiveCliHook
  from airflow.providers.mysql.hooks.mysql import MySqlHook
  from airflow.utils.decorators import apply_defaults
  
  
  class MySqlToHiveOperator(BaseOperator):
      """
      Moves data from MySql to Hive. The operator runs your query against
      MySQL, stores the file locally before loading it into a Hive table.
      If the ``create`` or ``recreate`` arguments are set to ``True``,
      a ``CREATE TABLE`` and ``DROP TABLE`` statements are generated.
      Hive data types are inferred from the cursor's metadata. Note that the
      table generated in Hive uses ``STORED AS textfile``
      which isn't the most efficient serialization format. If a
      large amount of data is loaded and/or if the table gets
      queried considerably, you may want to use this operator only to
      stage the data into a temporary table before loading it into its
      final destination using a ``HiveOperator``.
  
      :param sql: SQL query to execute against the MySQL database. (templated)
      :type sql: str
      :param hive_table: target Hive table, use dot notation to target a
          specific database. (templated)
      :type hive_table: str
      :param create: whether to create the table if it doesn't exist
      :type create: bool
      :param recreate: whether to drop and recreate the table at every
          execution
      :type recreate: bool
      :param partition: target partition as a dict of partition columns
          and values. (templated)
      :type partition: dict
      :param delimiter: field delimiter in the file
      :type delimiter: str
      :param quoting: controls when quotes should be generated by csv writer,
          It can take on any of the csv.QUOTE_* constants.
      :type quoting: str
      :param quotechar: one-character string used to quote fields
          containing special characters.
      :type quotechar: str
      :param escapechar: one-character string used by csv writer to escape
          the delimiter or quotechar.
      :type escapechar: str
      :param mysql_conn_id: source mysql connection
      :type mysql_conn_id: str
      :param hive_conn_id: destination hive connection
      :type hive_conn_id: str
      :param tblproperties: TBLPROPERTIES of the hive table being created
      :type tblproperties: dict
      """
  
      template_fields = ('sql', 'partition', 'hive_table')
      template_ext = ('.sql',)
      ui_color = '#a0e08c'
  
      @apply_defaults
      def __init__(  # pylint: disable=too-many-arguments
              self,
              *,
              sql: str,
              hive_table: str,
              create: bool = True,
              recreate: bool = False,
              partition: Optional[Dict] = None,
              delimiter: str = chr(1),
              quoting: Optional[str] = None,
              quotechar: str = '"',
              escapechar: Optional[str] = None,
              mysql_conn_id: str = 'mysql_default',
              hive_cli_conn_id: str = 'hive_cli_default',
              tblproperties: Optional[Dict] = None,
              **kwargs) -> None:
          super().__init__(**kwargs)
          self.sql = sql
          self.hive_table = hive_table
          self.partition = partition
          self.create = create
          self.recreate = recreate
          self.delimiter = str(delimiter)
          self.quoting = quoting or csv.QUOTE_MINIMAL
          self.quotechar = quotechar
          self.escapechar = escapechar
          self.mysql_conn_id = mysql_conn_id
          self.hive_cli_conn_id = hive_cli_conn_id
          self.partition = partition or {}
          self.tblproperties = tblproperties
  
      @classmethod
      def type_map(cls, mysql_type: int) -> str:
          """
          Maps MySQL type to Hive type.
          """
          types = MySQLdb.constants.FIELD_TYPE
          type_map = {
              types.BIT: 'INT',
              types.DECIMAL: 'DOUBLE',
              types.NEWDECIMAL: 'DOUBLE',
              types.DOUBLE: 'DOUBLE',
              types.FLOAT: 'DOUBLE',
              types.INT24: 'INT',
              types.LONG: 'BIGINT',
              types.LONGLONG: 'DECIMAL(38,0)',
              types.SHORT: 'INT',
              types.TINY: 'SMALLINT',
              types.YEAR: 'INT',
              types.TIMESTAMP: 'TIMESTAMP',
          }
          return type_map.get(mysql_type, 'STRING')
  
      def execute(self, context: Dict[str, str]):
          hive = HiveCliHook(hive_cli_conn_id=self.hive_cli_conn_id)
          mysql = MySqlHook(mysql_conn_id=self.mysql_conn_id)
  
          self.log.info("Dumping MySQL query results to local file")
          conn = mysql.get_conn()
          cursor = conn.cursor()
          cursor.execute(self.sql)
          with NamedTemporaryFile("wb") as f:
              csv_writer = csv.writer(f, delimiter=self.delimiter,
                                      quoting=self.quoting,
                                      quotechar=self.quotechar,
                                      escapechar=self.escapechar,
                                      encoding="utf-8")
              field_dict = OrderedDict()
              for field in cursor.description:
                  field_dict[field[0]] = self.type_map(field[1])
              csv_writer.writerows(cursor)
              f.flush()
              cursor.close()
              conn.close()
              self.log.info("Loading file into Hive")
              hive.load_file(
                  f.name,
                  self.hive_table,
                  field_dict=field_dict,
                  create=self.create,
                  partition=self.partition,
                  delimiter=self.delimiter,
                  recreate=self.recreate,
                  tblproperties=self.tblproperties)
  