[ 
https://issues.apache.org/jira/browse/SPARK-23436?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16390473#comment-16390473
 ] 

Apache Spark commented on SPARK-23436:
--------------------------------------

User 'gatorsmile' has created a pull request for this issue:
https://github.com/apache/spark/pull/20764

> Incorrect Date column Inference in partition discovery
> ------------------------------------------------------
>
>                 Key: SPARK-23436
>                 URL: https://issues.apache.org/jira/browse/SPARK-23436
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.2.1
>            Reporter: Apoorva Sareen
>            Assignee: Marco Gaido
>            Priority: Major
>             Fix For: 2.4.0
>
>
> If a Partition column appears to partial date/timestamp
>     example : 2018-01-01-23 
> where it is only truncated upto an hour then the data types of the 
> partitioning columns are automatically inferred as date however, the values 
> are loaded as null. 
> Here is an example code to reproduce this behaviour
>  
>  
> {code:java}
> val data = Seq(("1", "2018-01", "2018-01-01-04", "test")).toDF("id", 
> "date_month", "data_hour", "data")  
> data.write.partitionBy("id","date_month","data_hour").parquet("output/test")
> val input = spark.read.parquet("output/test")  
> input.printSchema()
> input.show()
> ## Result ###
> root
> |-- data: string (nullable = true)
> |-- id: integer (nullable = true)
> |-- date_month: string (nullable = true)
> |-- data_hour: date (nullable = true)
> +----+---+----------+---------+
> |data| id|date_month|data_hour|
> +----+---+----------+---------+
> |test|  1|   2018-01|     null|
> +----+---+----------+---------+{code}
>  



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to