Hyukjin Kwon created SPARK-19919:
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Summary: 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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