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https://issues.apache.org/jira/browse/SPARK-12744?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15091268#comment-15091268
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Apache Spark commented on SPARK-12744:
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User 'antlypls' has created a pull request for this issue:
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
> Priority: Minor
>
> 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}
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