[
https://issues.apache.org/jira/browse/SPARK-12744?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yin Huai resolved SPARK-12744.
------------------------------
Resolution: Fixed
Fix Version/s: 2.0.0
This issue has been resolved by https://github.com/apache/spark/pull/10687.
> Inconsistent behavior parsing JSON with unix timestamp values
> -------------------------------------------------------------
>
> Key: SPARK-12744
> URL: https://issues.apache.org/jira/browse/SPARK-12744
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.0
> Reporter: Anatoliy Plastinin
> Assignee: Anatoliy Plastinin
> Priority: Minor
> Labels: release_notes, releasenotes
> Fix For: 2.0.0
>
>
> Let’s have following json
> {code}
> val rdd = sc.parallelize("""{"ts":1452386229}""" :: Nil)
> {code}
> Spark sql casts int to timestamp treating int value as a number of seconds.
> https://issues.apache.org/jira/browse/SPARK-11724
> {code}
> scala> sqlContext.read.json(rdd).select($"ts".cast(TimestampType)).show
> +--------------------+
> | ts|
> +--------------------+
> |2016-01-10 01:37:...|
> +--------------------+
> {code}
> However parsing json with schema gives different result
> {code}
> scala> val schema = (new StructType).add("ts", TimestampType)
> schema: org.apache.spark.sql.types.StructType =
> StructType(StructField(ts,TimestampType,true))
> scala> sqlContext.read.schema(schema).json(rdd).show
> +--------------------+
> | ts|
> +--------------------+
> |1970-01-17 20:26:...|
> +--------------------+
> {code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
