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"""PostgreSQL to GCS operator."""
from __future__ import annotations
import datetime
import json
import time
import uuid
from decimal import Decimal
import pendulum
from airflow.providers.google.cloud.transfers.sql_to_gcs import BaseSQLToGCSOperator
from airflow.providers.postgres.hooks.postgres import PostgresHook
class _PostgresServerSideCursorDecorator:
"""
Inspired by `_PrestoToGCSPrestoCursorAdapter` to keep this consistent.
Decorator for allowing description to be available for postgres cursor in case server side
cursor is used. It doesn't provide other methods except those needed in BaseSQLToGCSOperator,
which is more of a safety feature.
"""
def __init__(self, cursor):
self.cursor = cursor
self.rows = []
self.initialized = False
def __iter__(self):
return self
def __next__(self):
if self.rows:
return self.rows.pop()
else:
self.initialized = True
return next(self.cursor)
@property
def description(self):
"""Fetch first row to initialize cursor description when using server side cursor."""
if not self.initialized:
element = self.cursor.fetchone()
if element is not None:
self.rows.append(element)
self.initialized = True
return self.cursor.description
[docs]class PostgresToGCSOperator(BaseSQLToGCSOperator):
"""
Copy data from Postgres to Google Cloud Storage in JSON, CSV or Parquet format.
:param postgres_conn_id: Reference to a specific Postgres hook.
:param use_server_side_cursor: If server-side cursor should be used for querying postgres.
For detailed info, check https://www.psycopg.org/docs/usage.html#server-side-cursors
:param cursor_itersize: How many records are fetched at a time in case of server-side cursor.
"""
[docs] ui_color = "#a0e08c"
[docs] type_map = {
1114: "DATETIME",
1184: "TIMESTAMP",
1082: "DATE",
1083: "TIME",
1005: "INTEGER",
1007: "INTEGER",
1016: "INTEGER",
20: "INTEGER",
21: "INTEGER",
23: "INTEGER",
16: "BOOL",
700: "FLOAT",
701: "FLOAT",
1700: "FLOAT",
}
def __init__(
self,
*,
postgres_conn_id="postgres_default",
use_server_side_cursor=False,
cursor_itersize=2000,
**kwargs,
):
super().__init__(**kwargs)
self.postgres_conn_id = postgres_conn_id
self.use_server_side_cursor = use_server_side_cursor
self.cursor_itersize = cursor_itersize
def _unique_name(self):
return f"{self.dag_id}__{self.task_id}__{uuid.uuid4()}" if self.use_server_side_cursor else None
[docs] def query(self):
"""Queries Postgres and returns a cursor to the results."""
hook = PostgresHook(postgres_conn_id=self.postgres_conn_id)
conn = hook.get_conn()
cursor = conn.cursor(name=self._unique_name())
cursor.execute(self.sql, self.parameters)
if self.use_server_side_cursor:
cursor.itersize = self.cursor_itersize
return _PostgresServerSideCursorDecorator(cursor)
return cursor
[docs] def field_to_bigquery(self, field) -> dict[str, str]:
return {
"name": field[0],
"type": self.type_map.get(field[1], "STRING"),
"mode": "REPEATED" if field[1] in (1009, 1005, 1007, 1016) else "NULLABLE",
}
[docs] def convert_type(self, value, schema_type, stringify_dict=True):
"""
Takes a value from Postgres, and converts it to a value that's safe for
JSON/Google Cloud Storage/BigQuery.
Timezone aware Datetime are converted to UTC seconds.
Unaware Datetime, Date and Time are converted to ISO formatted strings.
Decimals are converted to floats.
:param value: Postgres column value.
:param schema_type: BigQuery data type.
:param stringify_dict: Specify whether to convert dict to string.
"""
if isinstance(value, datetime.datetime):
iso_format_value = value.isoformat()
if value.tzinfo is None:
return iso_format_value
return pendulum.parse(iso_format_value).float_timestamp
if isinstance(value, datetime.date):
return value.isoformat()
if isinstance(value, datetime.time):
formatted_time = time.strptime(str(value), "%H:%M:%S")
time_delta = datetime.timedelta(
hours=formatted_time.tm_hour, minutes=formatted_time.tm_min, seconds=formatted_time.tm_sec
)
return str(time_delta)
if stringify_dict and isinstance(value, dict):
return json.dumps(value)
if isinstance(value, Decimal):
return float(value)
return value
