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https://issues.apache.org/jira/browse/SPARK-19919?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-19919.
---------------------------------
Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17256
[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
> Fix For: 2.2.0
>
>
> 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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