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From "Marcelo Vanzin (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-26325) Interpret timestamp fields in Spark while reading json (timestampFormat)
Date Tue, 12 Feb 2019 22:24:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-26325?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Marcelo Vanzin updated SPARK-26325:
-----------------------------------
    Component/s:     (was: Spark Core)
                 SQL

> Interpret timestamp fields in Spark while reading json (timestampFormat)
> ------------------------------------------------------------------------
>
>                 Key: SPARK-26325
>                 URL: https://issues.apache.org/jira/browse/SPARK-26325
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Veenit Shah
>            Priority: Major
>
> I am trying to read a pretty printed json which has time fields in it. I want to interpret
the timestamps columns as timestamp fields while reading the json itself. However, it's still
reading them as string when I {{printSchema}}
> E.g. Input json file -
> {code:java}
> [{
>     "time_field" : "2017-09-30 04:53:39.412496Z"
> }]
> {code}
> Code -
> {code:java}
> df = spark.read.option("multiLine", "true").option("timestampFormat","yyyy-MM-dd HH:mm:ss.SSSSSS'Z'").json('path_to_json_file')
> {code}
> Output of df.printSchema() -
> {code:java}
> root
>  |-- time_field: string (nullable = true)
> {code}



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