[jira] [Created] (SPARK-25199) InferSchema "all Strings" if one of many CSVs is empty

["Neil McGuigan (JIRA)" <ji...@apache.org>]

Neil McGuigan created SPARK-25199:
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             Summary: InferSchema "all Strings" if one of many CSVs is empty
                 Key: SPARK-25199
                 URL: https://issues.apache.org/jira/browse/SPARK-25199
             Project: Spark
          Issue Type: Bug
          Components: Input/Output
    Affects Versions: 2.2.1
         Environment: I discovered this on AWS Glue, which uses Spark 2.2.1
            Reporter: Neil McGuigan


Spark can load multiple CSV files in one read:

df = spark.read.format("csv").option("header", "true").option("inferSchema", "true").load("/*.csv")

However, if one of these files is empty (though it has a header), Spark will set all column types to "String"

Spark should skip a file for inference if it contains no (non-header) rows



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