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https://issues.apache.org/jira/browse/SPARK-23436?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan reassigned SPARK-23436:
-----------------------------------
Assignee: Marco Gaido
> 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}
>
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