Source code for airflow.providers.google.cloud.transfers.mysql_to_gcs

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"""MySQL to GCS operator."""
from __future__ import annotations

import base64
from datetime import date, datetime, time, timedelta
from decimal import Decimal

from MySQLdb.constants import FIELD_TYPE

from airflow.providers.google.cloud.transfers.sql_to_gcs import BaseSQLToGCSOperator
from airflow.providers.mysql.hooks.mysql import MySqlHook


[docs]class MySQLToGCSOperator(BaseSQLToGCSOperator): """Copy data from MySQL to Google Cloud Storage in JSON, CSV or Parquet format. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:MySQLToGCSOperator` :param mysql_conn_id: Reference to :ref:`mysql connection id <howto/connection:mysql>`. :param ensure_utc: Ensure TIMESTAMP columns exported as UTC. If set to `False`, TIMESTAMP columns will be exported using the MySQL server's default timezone. """
[docs] ui_color = '#a0e08c'
[docs] type_map = { FIELD_TYPE.BIT: 'INTEGER', FIELD_TYPE.DATETIME: 'TIMESTAMP', FIELD_TYPE.DATE: 'TIMESTAMP', FIELD_TYPE.DECIMAL: 'FLOAT', FIELD_TYPE.NEWDECIMAL: 'FLOAT', FIELD_TYPE.DOUBLE: 'FLOAT', FIELD_TYPE.FLOAT: 'FLOAT', FIELD_TYPE.INT24: 'INTEGER', FIELD_TYPE.LONG: 'INTEGER', FIELD_TYPE.LONGLONG: 'INTEGER', FIELD_TYPE.SHORT: 'INTEGER', FIELD_TYPE.TIME: 'TIME', FIELD_TYPE.TIMESTAMP: 'TIMESTAMP', FIELD_TYPE.TINY: 'INTEGER', FIELD_TYPE.YEAR: 'INTEGER',
} def __init__(self, *, mysql_conn_id='mysql_default', ensure_utc=False, **kwargs): super().__init__(**kwargs) self.mysql_conn_id = mysql_conn_id self.ensure_utc = ensure_utc
[docs] def query(self): """Queries mysql and returns a cursor to the results.""" mysql = MySqlHook(mysql_conn_id=self.mysql_conn_id) conn = mysql.get_conn() cursor = conn.cursor() if self.ensure_utc: # Ensure TIMESTAMP results are in UTC tz_query = "SET time_zone = '+00:00'" self.log.info('Executing: %s', tz_query) cursor.execute(tz_query) self.log.info('Executing: %s', self.sql) cursor.execute(self.sql) return cursor
[docs] def field_to_bigquery(self, field) -> dict[str, str]: field_type = self.type_map.get(field[1], "STRING") # Always allow TIMESTAMP to be nullable. MySQLdb returns None types # for required fields because some MySQL timestamps can't be # represented by Python's datetime (e.g. 0000-00-00 00:00:00). field_mode = "NULLABLE" if field[6] or field_type == "TIMESTAMP" else "REQUIRED" return { 'name': field[0], 'type': field_type, 'mode': field_mode,
}
[docs] def convert_type(self, value, schema_type: str, **kwargs): """ Takes a value from MySQLdb, and converts it to a value that's safe for JSON/Google Cloud Storage/BigQuery. * Datetimes are converted to `str(value)` (`datetime.isoformat(' ')`) strings. * Times are converted to `str((datetime.min + value).time())` strings. * Decimals are converted to floats. * Dates are converted to ISO formatted strings if given schema_type is DATE, or `datetime.isoformat(' ')` strings otherwise. * Binary type fields are converted to integer if given schema_type is INTEGER, or encoded with base64 otherwise. Imported BYTES data must be base64-encoded according to BigQuery documentation: https://cloud.google.com/bigquery/data-types :param value: MySQLdb column value :param schema_type: BigQuery data type """ if value is None: return value if isinstance(value, datetime): value = str(value) elif isinstance(value, timedelta): value = str((datetime.min + value).time()) elif isinstance(value, Decimal): value = float(value) elif isinstance(value, date): if schema_type == "DATE": value = value.isoformat() else: value = str(datetime.combine(value, time.min)) elif isinstance(value, bytes): if schema_type == "INTEGER": value = int.from_bytes(value, "big") else: value = base64.standard_b64encode(value).decode('ascii') return value

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