[
https://issues.apache.org/jira/browse/SPARK-31662?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17102525#comment-17102525
]
Apache Spark commented on SPARK-31662:
--------------------------------------
User 'MaxGekk' has created a pull request for this issue:
https://github.com/apache/spark/pull/28479
> Reading wrong dates from dictionary encoded columns in Parquet files
> --------------------------------------------------------------------
>
> Key: SPARK-31662
> URL: https://issues.apache.org/jira/browse/SPARK-31662
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0, 3.1.0
> Reporter: Maxim Gekk
> Priority: Major
>
> Write dates with dictionary encoding enabled to parquet files:
> {code:scala}
> Welcome to
> ____ __
> / __/__ ___ _____/ /__
> _\ \/ _ \/ _ `/ __/ '_/
> /___/ .__/\_,_/_/ /_/\_\ version 3.1.0-SNAPSHOT
> /_/
> Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_242)
> Type in expressions to have them evaluated.
> Type :help for more information.
> scala>
> spark.conf.set("spark.sql.legacy.parquet.rebaseDateTimeInWrite.enabled", true)
> scala> :paste
> // Entering paste mode (ctrl-D to finish)
> Seq.tabulate(8)(_ => "1001-01-01").toDF("dateS")
> .select($"dateS".cast("date").as("date"))
> .repartition(1)
> .write
> .option("parquet.enable.dictionary", true)
> .mode("overwrite")
> .parquet("/Users/maximgekk/tmp/parquet-date-dict")
> // Exiting paste mode, now interpreting.
> {code}
> Read them back:
> {code:scala}
> scala>
> spark.read.parquet("/Users/maximgekk/tmp/parquet-date-dict").show(false)
> +----------+
> |date |
> +----------+
> |1001-01-07|
> |1001-01-07|
> |1001-01-07|
> |1001-01-07|
> |1001-01-07|
> |1001-01-07|
> |1001-01-07|
> |1001-01-07|
> +----------+
> {code}
> *Expected values must be 1000-01-01.*
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
