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

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

     [ https://issues.apache.org/jira/browse/SPARK-39910?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Christophe Préaud updated SPARK-39910:
--------------------------------------
    Summary: DataFrameReader API cannot read files from hadoop archives (.har)  (was: DataFrameReader API cannot read files from hadoop archives(.har))

> 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: 3.0.3, 3.1.3, 3.3.0, 3.2.2
>            Reporter: Christophe Préaud
>            Priority: Minor
>              Labels: DataFrameReader
>
> 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}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org