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Posted to issues@flink.apache.org by "Leonard Xu (Jira)" <ji...@apache.org> on 2023/03/12 09:26:00 UTC

[jira] [Assigned] (FLINK-30959) Improve the documentation of UNIX_TIMESTAMP for different argument format

     [ https://issues.apache.org/jira/browse/FLINK-30959?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Leonard Xu reassigned FLINK-30959:
----------------------------------

    Assignee: ruanhang1993

> Improve the documentation of UNIX_TIMESTAMP for different argument format
> -------------------------------------------------------------------------
>
>                 Key: FLINK-30959
>                 URL: https://issues.apache.org/jira/browse/FLINK-30959
>             Project: Flink
>          Issue Type: Improvement
>          Components: Documentation, Table SQL / API
>    Affects Versions: 1.16.1
>            Reporter: Yunfeng Zhou
>            Assignee: ruanhang1993
>            Priority: Major
>             Fix For: 1.17.0, 1.16.2
>
>
> When running the following pyflink program
>  
> {code:python}
> import pandas as pd
> from pyflink.datastream import StreamExecutionEnvironment, HashMapStateBackend
> from pyflink.table import StreamTableEnvironment
> if __name__ == "__main__":
>     input_data = pd.DataFrame(
>         [
>             ["Alex", 100.0, "2022-01-01 08:00:00.001 +0800"],
>             ["Emma", 400.0, "2022-01-01 00:00:00.003 +0000"],
>             ["Alex", 200.0, "2022-01-01 08:00:00.005 +0800"],
>             ["Emma", 300.0, "2022-01-01 00:00:00.007 +0000"],
>             ["Jack", 500.0, "2022-01-01 08:00:00.009 +0800"],
>             ["Alex", 450.0, "2022-01-01 00:00:00.011 +0000"],
>         ],
>         columns=["name", "avg_cost", "time"],
>     )
>     env = StreamExecutionEnvironment.get_execution_environment()
>     env.set_state_backend(HashMapStateBackend())
>     t_env = StreamTableEnvironment.create(env)
>     input_table = t_env.from_pandas(input_data)
>     t_env.create_temporary_view("input_table", input_table)
>     time_format = "yyyy-MM-dd HH:mm:ss.SSS X"
>     output_table = t_env.sql_query(
>         f"SELECT *, UNIX_TIMESTAMP(`time`, '{time_format}') AS unix_time FROM input_table"
>     )
>     output_table.execute().print()
> {code}
> The actual output is 
> {code}
> +----+--------------------------------+--------------------------------+--------------------------------+----------------------+
> | op |                           name |                       avg_cost |                           time |            unix_time |
> +----+--------------------------------+--------------------------------+--------------------------------+----------------------+
> | +I |                           Alex |                          100.0 |  2022-01-01 08:00:00.001 +0800 |           1640995200 |
> | +I |                           Emma |                          400.0 |  2022-01-01 00:00:00.003 +0000 |           1640995200 |
> | +I |                           Alex |                          200.0 |  2022-01-01 08:00:00.005 +0800 |           1640995200 |
> | +I |                           Emma |                          300.0 |  2022-01-01 00:00:00.007 +0000 |           1640995200 |
> | +I |                           Jack |                          500.0 |  2022-01-01 08:00:00.009 +0800 |           1640995200 |
> | +I |                           Alex |                          450.0 |  2022-01-01 00:00:00.011 +0000 |           1640995200 |
> +----+--------------------------------+--------------------------------+--------------------------------+----------------------+
> {code}
> While the expected result is
> {code:java}
> +----+--------------------------------+--------------------------------+--------------------------------+----------------------+
> | op |                           name |                       avg_cost |                           time |            unix_time |
> +----+--------------------------------+--------------------------------+--------------------------------+----------------------+
> | +I |                           Alex |                          100.0 |  2022-01-01 08:00:00.001 +0800 |           1640995200 |
> | +I |                           Emma |                          400.0 |  2022-01-01 00:00:00.003 +0000 |           1640966400 |
> | +I |                           Alex |                          200.0 |  2022-01-01 08:00:00.005 +0800 |           1640995200 |
> | +I |                           Emma |                          300.0 |  2022-01-01 00:00:00.007 +0000 |           1640966400 |
> | +I |                           Jack |                          500.0 |  2022-01-01 08:00:00.009 +0800 |           1640995200 |
> | +I |                           Alex |                          450.0 |  2022-01-01 00:00:00.011 +0000 |           1640966400 |
> +----+--------------------------------+--------------------------------+--------------------------------+----------------------+
> {code}
>  



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