Source code for airflow.providers.apache.hive.transfers.hive_to_mysql

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"""This module contains an operator to move data from Hive to MySQL."""

from __future__ import annotations

from tempfile import NamedTemporaryFile
from typing import TYPE_CHECKING, Sequence

from airflow.models import BaseOperator
from airflow.providers.apache.hive.hooks.hive import HiveServer2Hook
from airflow.providers.mysql.hooks.mysql import MySqlHook
from airflow.utils.operator_helpers import context_to_airflow_vars

    from airflow.utils.context import Context

[docs]class HiveToMySqlOperator(BaseOperator): """ Moves data from Hive to MySQL. Note that for now the data is loaded into memory before being pushed to MySQL, so this operator should be used for smallish amount of data. :param sql: SQL query to execute against Hive server. (templated) :param mysql_table: target MySQL table, use dot notation to target a specific database. (templated) :param mysql_conn_id: source mysql connection :param hiveserver2_conn_id: Reference to the :ref:`Hive Server2 thrift service connection id <howto/connection:hiveserver2>`. :param mysql_preoperator: sql statement to run against mysql prior to import, typically use to truncate of delete in place of the data coming in, allowing the task to be idempotent (running the task twice won't double load data). (templated) :param mysql_postoperator: sql statement to run against mysql after the import, typically used to move data from staging to production and issue cleanup commands. (templated) :param bulk_load: flag to use bulk_load option. This loads mysql directly from a tab-delimited text file using the LOAD DATA LOCAL INFILE command. The MySQL server must support loading local files via this command (it is disabled by default). :param hive_conf: """
[docs] template_fields: Sequence[str] = ("sql", "mysql_table", "mysql_preoperator", "mysql_postoperator")
[docs] template_ext: Sequence[str] = (".sql",)
[docs] template_fields_renderers = { "sql": "hql", "mysql_preoperator": "mysql", "mysql_postoperator": "mysql", }
[docs] ui_color = "#a0e08c"
def __init__( self, *, sql: str, mysql_table: str, hiveserver2_conn_id: str = "hiveserver2_default", mysql_conn_id: str = "mysql_default", mysql_preoperator: str | None = None, mysql_postoperator: str | None = None, bulk_load: bool = False, hive_conf: dict | None = None, **kwargs, ) -> None: super().__init__(**kwargs) self.sql = sql self.mysql_table = mysql_table self.mysql_conn_id = mysql_conn_id self.mysql_preoperator = mysql_preoperator self.mysql_postoperator = mysql_postoperator self.hiveserver2_conn_id = hiveserver2_conn_id self.bulk_load = bulk_load self.hive_conf = hive_conf
[docs] def execute(self, context: Context): hive = HiveServer2Hook(hiveserver2_conn_id=self.hiveserver2_conn_id)"Extracting data from Hive: %s", self.sql) hive_conf = context_to_airflow_vars(context) if self.hive_conf: hive_conf.update(self.hive_conf) if self.bulk_load: with NamedTemporaryFile() as tmp_file: hive.to_csv( self.sql,, delimiter="\t", lineterminator="\n", output_header=False, hive_conf=hive_conf, ) mysql = self._call_preoperator(local_infile=self.bulk_load) mysql.bulk_load(table=self.mysql_table, else: hive_results = hive.get_records(self.sql, parameters=hive_conf) mysql = self._call_preoperator() mysql.insert_rows(table=self.mysql_table, rows=hive_results) if self.mysql_postoperator:"Running MySQL postoperator")"Done.")
def _call_preoperator(self, local_infile: bool = False) -> MySqlHook: mysql = MySqlHook(mysql_conn_id=self.mysql_conn_id, local_infile=local_infile) if self.mysql_preoperator:"Running MySQL preoperator")"Inserting rows into MySQL") return mysql

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