[jira] [Created] (SPARK-39910) DataFrameReader API cannot read files from hadoop archives(.har)

["Christophe Préaud (Jira)" <ji...@apache.org>]

Christophe Préaud created SPARK-39910:
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             Summary: DataFrameReader API cannot read files from hadoop archives(.har)
                 Key: SPARK-39910
                 URL: https://issues.apache.org/jira/browse/SPARK-39910
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 3.2.2, 3.3.0, 3.1.3, 3.0.3
            Reporter: Christophe Préaud


Reading a file from an hadoop archive using the DataFrameReader API returns an empty Dataset:
{code:java}
scala> val df = spark.read.textFile("har:///user/preaudc/logs/lead/jp/2022/202207.har/20220719")
df: org.apache.spark.sql.Dataset[String] = [value: string]
scala> df.count
res7: Long = 0 {code}
 

On the other hand, reading the same file, from the same hadoop archive, but using the RDD API yields the correct result:
{code:java}
scala> val df = sc.textFile("har:///user/preaudc/logs/lead/jp/2022/202207.har/20220719").toDF("value")
df: org.apache.spark.sql.DataFrame = [value: string]scala> df.count
res8: Long = 5589 {code}



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