[jira] [Closed] (ARROW-10061) How to convert a float to a Parquet TIMESTAMP Logical Type?

["Joris Van den Bossche (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-10061?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joris Van den Bossche closed ARROW-10061.
-----------------------------------------
    Resolution: Not A Problem

> How to convert a float to a Parquet TIMESTAMP Logical Type?
> -----------------------------------------------------------
>
>                 Key: ARROW-10061
>                 URL: https://issues.apache.org/jira/browse/ARROW-10061
>             Project: Apache Arrow
>          Issue Type: Task
>            Reporter: Pierre
>            Priority: Trivial
>
> Hi,
> I am sorry, this is a simple usage question, that I raised on [SO|https://stackoverflow.com/questions/63991411/how-to-convert-a-float-to-a-parquet-timestamp-logical-type], but got no answer.
> I came across the [Parquet Logical Types documentation page|https://github.com/apache/parquet-format/blob/master/LogicalTypes.md] on Github, and more specifically the chapter regarding [Timestamp|https://github.com/apache/parquet-format/blob/master/LogicalTypes.md#timestamp].
> Please, how can we convert a column of timestamps stored as float64 to a column with timestamps stored as `TIMESTAMP` parquet logical type?
> For instance, starting with this code.
> {code:python}
> import pyarrow as pa
> my_table = pa.table({'timestamp': pa.array([1600419000.477,1600419001.027])})
> {code}
> Thanks for any help,
> Have a good day,
> Bests,
> Pierre



--
This message was sent by Atlassian Jira
(v8.3.4#803005)