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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
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#
# http://www.apache.org/licenses/LICENSE-2.0
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# under the License.
"""MySQL to GCS operator."""
from __future__ import annotations
import base64
from datetime import date, datetime, time, timedelta
from decimal import Decimal
try:
from MySQLdb.constants import FIELD_TYPE
except ImportError:
raise RuntimeError(
"You do not have `mysqlclient` package installed. "
"Please install it with `pip install mysqlclient` and make sure you have system "
"mysql libraries installed, as well as well as `pkg-config` system package "
"installed in case you see compilation error during installation."
)
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] 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):
"""Query 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):
"""
Take a value from MySQLdb and convert it to a value 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