[ https://issues.apache.org/jira/browse/SPARK-23436?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan resolved SPARK-23436. --------------------------------- Resolution: Fixed Fix Version/s: 2.4.0 Issue resolved by pull request 20621 [https://github.com/apache/spark/pull/20621] > 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