[jira] [Commented] (SPARK-19919) Defer input path validation into DataSource in CSV datasource

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-19919?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15906115#comment-15906115 ] 

Apache Spark commented on SPARK-19919:
--------------------------------------

User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/17256

> Defer input path validation into DataSource in CSV datasource
> -------------------------------------------------------------
>
>                 Key: SPARK-19919
>                 URL: https://issues.apache.org/jira/browse/SPARK-19919
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Hyukjin Kwon
>            Priority: Trivial
>
> Currently, if other datasources fail to infer the schema, it returns {{None}} and then this is being validated in {{DataSource}} as below:
> {code}
> scala> spark.read.json("emptydir")
> org.apache.spark.sql.AnalysisException: Unable to infer schema for JSON. It must be specified manually.;
> {code}
> {code}
> scala> spark.read.orc("emptydir")
> org.apache.spark.sql.AnalysisException: Unable to infer schema for ORC. It must be specified manually.;
> {code}
> {code}
> scala> spark.read.parquet("emptydir")
> org.apache.spark.sql.AnalysisException: Unable to infer schema for Parquet. It must be specified manually.;
> {code}
> However, CSV it checks it within the datasource implementation and throws another exception message as below:
> {code}
> scala> spark.read.csv("emptydir")
> java.lang.IllegalArgumentException: requirement failed: Cannot infer schema from an empty set of files
> {code}
> We could remove this duplicated check and validate this in one place in the same way with the same message.



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