Apache spark spark sql时间戳数据类型是否实际存储时区？

spark sql

timestamp

数据类型是否实际存储时区

我使用的是databricks 6.5（ApacheSpark 2.4.5，Scala 2.11）

给出了这个结果

C1                              C2                              C3
=====================================================================
2020-07-02T07:06:57.716+0000    2020-07-02T16:36:57.716+0000    +0000

任何地方都没有时区指示器的迹象

我能找到的所有datetime函数都要求您指定时区。在我看来，时区部分不应该显示，因为它实际上不在数据中

这个问题是：不，它没有存储，但有人能确认吗

编辑

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还有人认为+0000在这里有误导性吗？对我来说，这意味着日期有一个UTC时区，可以简明扼要地存储一个不同的时区。我来自SQL Server世界，那里不存储时区的datetime没有时区指示符。

在spark中，所有datetime操作/函数都是时区感知的，但spark内部从不存储时区，它们将时间存储在

int

和

long

来自spark doc-

* Helper functions for converting between internal and external date and time representations.
 * Dates are exposed externally as java.sql.Date and are represented internally as the number of
 * dates since the Unix epoch (1970-01-01). Timestamps are exposed externally as java.sql.Timestamp
 * and are stored internally as longs, which are capable of storing timestamps with microsecond
 * precision.

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ref-

在spark中，所有datetime操作/函数都是时区感知的，但spark内部从不存储时区，它们将时间存储在

int

和

long

来自spark doc-

* Helper functions for converting between internal and external date and time representations.
 * Dates are exposed externally as java.sql.Date and are represented internally as the number of
 * dates since the Unix epoch (1970-01-01). Timestamps are exposed externally as java.sql.Timestamp
 * and are stored internally as longs, which are capable of storing timestamps with microsecond
 * precision.

参考-