1. 设置PostgresOperator的execution_timeout参数，以确保任务超时将在指定的时间内终止任务。

from airflow.operators.postgres_operator import PostgresOperator

task = PostgresOperator(
    task_id='my_task',
    sql='SELECT ...',
    execution_timeout=datetime.timedelta(minutes=10)
)

2. 在PostgreSQL数据库中使用pg_stat_activity视图来查找和杀死超时的查询。可以使用以下Python代码：

import psycopg2
import datetime

# Connect to the database
conn = psycopg2.connect(
    host="database_host",
    database="database_name",
    user="username",
    password="password"
)

# Get the current time and the timeout period we want to check for
now = datetime.datetime.now()
timeout_period = datetime.timedelta(minutes=10)

# Query the pg_stat_activity view for all queries that have been running for longer than the timeout period
cursor = conn.cursor()
cursor.execute("""
    SELECT *
    FROM pg_stat_activity
    WHERE state = 'active' AND now() - query_start > %s
""", [timeout_period])

rows = cursor.fetchall()

for row in rows:
    # Kill each query returned by the query above
    cursor.execute('SELECT pg_terminate_backend(%s)', [row[0]])

conn.commit()
conn.close()