[jira] [Assigned] (SPARK-19641) JSON schema inference in DROPMALFORMED mode produces incorrect schema

2017-04-03 Thread Wenchen Fan (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-19641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wenchen Fan reassigned SPARK-19641:
---

Assignee: Hyukjin Kwon

> JSON schema inference in DROPMALFORMED mode produces incorrect schema
> -
>
> Key: SPARK-19641
> URL: https://issues.apache.org/jira/browse/SPARK-19641
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.1.0
>Reporter: Nathan Howell
>Assignee: Hyukjin Kwon
> Fix For: 2.2.0
>
>
> In {{DROPMALFORMED}} mode the inferred schema may incorrectly contain no 
> columns. This occurs when one document contains a valid JSON value (such as a 
> string or number) and the other documents contain objects or arrays.
> When the default case in {{JsonInferSchema.compatibleRootType}} is reached 
> when merging a {{StringType}} and a {{StructType}} the resulting type will be 
> a {{StringType}}, which is then discarded because a {{StructType}} is 
> expected.



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[jira] [Assigned] (SPARK-19641) JSON schema inference in DROPMALFORMED mode produces incorrect schema

2017-03-30 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-19641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-19641:


Assignee: (was: Apache Spark)

> JSON schema inference in DROPMALFORMED mode produces incorrect schema
> -
>
> Key: SPARK-19641
> URL: https://issues.apache.org/jira/browse/SPARK-19641
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.1.0
>Reporter: Nathan Howell
>
> In {{DROPMALFORMED}} mode the inferred schema may incorrectly contain no 
> columns. This occurs when one document contains a valid JSON value (such as a 
> string or number) and the other documents contain objects or arrays.
> When the default case in {{JsonInferSchema.compatibleRootType}} is reached 
> when merging a {{StringType}} and a {{StructType}} the resulting type will be 
> a {{StringType}}, which is then discarded because a {{StructType}} is 
> expected.



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[jira] [Assigned] (SPARK-19641) JSON schema inference in DROPMALFORMED mode produces incorrect schema

2017-03-30 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-19641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-19641:


Assignee: Apache Spark

> JSON schema inference in DROPMALFORMED mode produces incorrect schema
> -
>
> Key: SPARK-19641
> URL: https://issues.apache.org/jira/browse/SPARK-19641
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.1.0
>Reporter: Nathan Howell
>Assignee: Apache Spark
>
> In {{DROPMALFORMED}} mode the inferred schema may incorrectly contain no 
> columns. This occurs when one document contains a valid JSON value (such as a 
> string or number) and the other documents contain objects or arrays.
> When the default case in {{JsonInferSchema.compatibleRootType}} is reached 
> when merging a {{StringType}} and a {{StructType}} the resulting type will be 
> a {{StringType}}, which is then discarded because a {{StructType}} is 
> expected.



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