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Posted to issues@spark.apache.org by "Patrick McGloin (JIRA)" <ji...@apache.org> on 2018/06/28 19:11:00 UTC

[jira] [Commented] (SPARK-24682) from_json / to_json do not handle java.sql.Date inside Maps correctly

    [ https://issues.apache.org/jira/browse/SPARK-24682?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16526687#comment-16526687 ] 

Patrick McGloin commented on SPARK-24682:
-----------------------------------------

I would like to work on this.

> from_json / to_json do not handle java.sql.Date inside Maps correctly
> ---------------------------------------------------------------------
>
>                 Key: SPARK-24682
>                 URL: https://issues.apache.org/jira/browse/SPARK-24682
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.0
>            Reporter: Patrick McGloin
>            Priority: Minor
>
> When a date is one of the types inside a Map, the from_json and to_json functions do not handle it correctly.  A date would be persisted like this: "17710".  And the from_json tries to read it in it complains with the error:  
> java.lang.ClassCastException: org.apache.spark.unsafe.types.UTF8String cannot be cast to java.lang.Integer
> Consider the following test, which will fail on the final show: 
> {color:#000080}
> *case class* {color}UnitTestCaseClassWithDateInsideMap(map: {color:#009f82}Map{color}[Date, Int]) 
> test({color:#008000}*"Test a Date as key in a Map"*{color}) {
>  {color:#000080}*val* {color}map =  _UnitTestCaseClassWithDateInsideMap_({color:#800080}_Map_{color}(Date._valueOf_({color:#008000}*"2018-06-28"*{color}) -> {color:#0000FF}1{color}))
>  {color:#000080}*val* {color}options = {color:#800080}_Map_{color}({color:#008000}*"timestampFormat"* {color}-> {color:#008000}*"yyyy/MM/dd HH:mm:ss.SSS"*{color}, {color:#008000}*"dateFormat"* {color}-> {color:#008000}*"yyyy/MM/dd"*{color})
>  {color:#000080}*val* {color}schema = Encoders._product_[UnitTestCaseClassWithDateInsideMap].schema
>  {color:#000080}*val* {color}mapDF = {color:#800080}_Seq_{color}(map).toDF()
>  {color:#000080}*val* {color}jsonDF = mapDF.select(_to_json_(_struct_(mapDF.columns.head, mapDF.columns.tail:_*), options))
>  jsonDF.show()
>  {color:#000080}*val* {color}jsonString = jsonDF.map(_.getString({color:#0000FF}0{color})).collect().head
>  {color:#000080}*val* {color}stringDF = {color:#800080}_Seq_{color}(jsonString).toDF({color:#008000}*"json"*{color})
>  {color:#000080}*val* {color}parsedDF = stringDF.select(_from_json_({color:#008000}*$"json"*{color}, schema, options))
>  parsedDF.show()
> } 
> The result of the line "jsonDF.show()" is as follows: 
> +---------------------------------------------------+ 
> |structstojson(named_struct(NamePlaceholder(), map))| 
> +---------------------------------------------------+ 
> |                                \{"map":{"17710":1}}| 
> +---------------------------------------------------+ 
> As can be seen the date is not formatted correctly.  The error with  "parsedDF.show()" is: 
> java.lang.ClassCastException: org.apache.spark.unsafe.types.UTF8String cannot be cast to java.lang.Integer 
> As you can see I have added in the options with date formats but that does not have any impact.  If I do the same tests with a Date outside a Map it works as expected.
>  



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