[jira] [Assigned] (SPARK-23436) Incorrect Date column Inference in partition discovery

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-23436?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-23436:
------------------------------------

    Assignee: Apache Spark

> 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: Apache Spark
>            Priority: Major
>
> 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}
>  



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