Source code for airflow.providers.apache.spark.hooks.spark_connect
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from __future__ import annotations
from typing import Any
from urllib.parse import quote, urlparse, urlunparse
from airflow.hooks.base import BaseHook
from airflow.utils.log.logging_mixin import LoggingMixin
[docs]class SparkConnectHook(BaseHook, LoggingMixin):
"""Hook for Spark Connect."""
# from pyspark's ChannelBuilder
[docs] PARAM_USE_SSL = "use_ssl"
[docs] PARAM_USER_ID = "user_id"
[docs] conn_name_attr = "conn_id"
[docs] default_conn_name = "spark_connect_default"
[docs] conn_type = "spark_connect"
[docs] hook_name = "Spark Connect"
@classmethod
[docs] def get_ui_field_behaviour(cls) -> dict[str, Any]:
"""Return custom UI field behaviour for Spark Connect connection."""
return {
"hidden_fields": [
"schema",
],
"relabeling": {"password": "Token", "login": "User ID"},
}
@classmethod
def __init__(self, conn_id: str = default_conn_name) -> None:
super().__init__()
self._conn_id = conn_id
[docs] def get_connection_url(self) -> str:
conn = self.get_connection(self._conn_id)
host = conn.host
if conn.host.find("://") == -1:
host = f"sc://{conn.host}"
if conn.port:
host = f"{conn.host}:{conn.port}"
url = urlparse(host)
if url.path:
raise ValueError("Path {url.path} is not supported in Spark Connect connection URL")
params = []
if conn.login:
params.append(f"{SparkConnectHook.PARAM_USER_ID}={quote(conn.login)}")
if conn.password:
params.append(f"{SparkConnectHook.PARAM_TOKEN}={quote(conn.password)}")
use_ssl = conn.extra_dejson.get(SparkConnectHook.PARAM_USE_SSL)
if use_ssl is not None:
params.append(f"{SparkConnectHook.PARAM_USE_SSL}={quote(str(use_ssl))}")
return urlunparse(
(
"sc",
url.netloc,
"/",
";".join(params), # params
"",
url.fragment,
)
)