首先转换ts_values，然后使用collect获取max Date。
函数from_unixtime的时间戳转换可以在df的列中执行
代码输入：-

from pyspark.sql import SparkSession
from pyspark.sql.functions import col, max, from_unixtime

spark = SparkSession.builder.appName("TimestampHandling").getOrCreate()

data = [
    [1682121600],
    [1693180800]
]

columns = ["ts_values"]
df = spark.createDataFrame(data, columns)
df.show()

max_ts=df.withColumn(
    "date", from_unixtime("ts_values"))

max_ts.show()

print("then use collect()")
max_ts = max_ts.select(max(col("date"))).collect()[0][0]
print(max_ts)

输出：-

+----------+
| ts_values|
+----------+
|1682121600|
|1693180800|
+----------+

+----------+-------------------+
| ts_values|               date|
+----------+-------------------+
|1682121600|2023-04-22 00:00:00|
|1693180800|2023-08-28 00:00:00|
+----------+-------------------+

then use collect()
2023-08-28 00:00:00