如何在PySpark window()中使用毫秒作为参数。函数之间的范围？

from pyspark.sql import SparkSession
from pyspark.sql.functions import col, window, to_utc_timestamp, unix_timestamp

# 创建SparkSession
spark = SparkSession.builder.getOrCreate()

# 读取数据集
df = spark.read.csv("data.csv", header=True, inferSchema=True)

# 将时间戳列转换为毫秒级别的时间戳
df = df.withColumn("timestamp", unix_timestamp(col("timestamp"), "yyyy-MM-dd HH:mm:ss.SSS") * 1000)

# 将时间戳列转换为UTC时间
df = df.withColumn("timestamp", to_utc_timestamp(col("timestamp"), "UTC"))

# 定义窗口范围为10秒，窗口偏移量为5秒
window_spec = window(col("timestamp"), "10 seconds", "5 seconds")

# 在窗口范围内进行聚合操作
result = df.groupBy(window_spec).agg({"value": "sum"})

# 显示结果
result.show()