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https://issues.apache.org/jira/browse/SPARK-25652?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maciej Bryński updated SPARK-25652:
-----------------------------------
Description:
Hi,
I found strange behaviour of Spark when using datetime from night of changing
date (in CET).
The data from MySQL is wrongly converted and as a result fold=1 is added.
Sample code
MySQL column has DATETIME type and value: "2017-10-29 02:01:44"
{code}
spark.read.jdbc(URL).select("time_column").collect()
[Row(start_time=datetime.datetime(2017, 10, 29, 2, 1, 44, fold=1))]
{code}
As a comparison same query done by sqlalchemy.
{code}
engine = create_engine(URL)
engine.execute("select time_column from table").fetchone()
(datetime.datetime(2017, 10, 29, 2, 1, 44),)
{code}
I'm using Python 3.6. Both MySQL server and server where I'm doing queries are
in CET timezone.
was:
Hi,
I found strange behaviour of Spark when using datetime from night of changing
date (in CET).
df.collect()
{code}
[Row(start_time=datetime.datetime(2017, 10, 29, 2, 1, 44, fold=1))]
{code}
df.show()
{code}
+-------------------+
| start_time|
+-------------------+
|2017-10-29 02:01:44|
+-------------------+
{code}
As you can see fold is added to Python part.
Python 3.6
Data came from MySQL database datetime column with value "2017-10-29 02:01:44"
> Wrong datetime conversion between Java and Python
> --------------------------------------------------
>
> Key: SPARK-25652
> URL: https://issues.apache.org/jira/browse/SPARK-25652
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.3.0
> Reporter: Maciej Bryński
> Priority: Major
>
> Hi,
> I found strange behaviour of Spark when using datetime from night of changing
> date (in CET).
> The data from MySQL is wrongly converted and as a result fold=1 is added.
> Sample code
> MySQL column has DATETIME type and value: "2017-10-29 02:01:44"
> {code}
> spark.read.jdbc(URL).select("time_column").collect()
> [Row(start_time=datetime.datetime(2017, 10, 29, 2, 1, 44, fold=1))]
> {code}
> As a comparison same query done by sqlalchemy.
> {code}
> engine = create_engine(URL)
> engine.execute("select time_column from table").fetchone()
> (datetime.datetime(2017, 10, 29, 2, 1, 44),)
> {code}
> I'm using Python 3.6. Both MySQL server and server where I'm doing queries
> are in CET timezone.
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