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

2024-02-08 Thread Wenchen Fan (Jira) 


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

Wenchen Fan reassigned SPARK-39910:
---

Assignee: Christophe Préaud

> 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
>Assignee: Christophe Préaud
>Priority: Minor
>  Labels: DataFrameReader, pull-request-available
>
> 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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[jira] [Assigned] (SPARK-39910) DataFrameReader API cannot read files from hadoop archives (.har)

2024-01-18 Thread ASF GitHub Bot (Jira) 


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

ASF GitHub Bot reassigned SPARK-39910:
--

Assignee: Apache Spark

> 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
>Assignee: Apache Spark
>Priority: Minor
>  Labels: DataFrameReader, pull-request-available
>
> 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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[jira] [Assigned] (SPARK-39910) DataFrameReader API cannot read files from hadoop archives (.har)

2024-01-18 Thread ASF GitHub Bot (Jira) 


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

ASF GitHub Bot reassigned SPARK-39910:
--

Assignee: (was: Apache Spark)

> 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, pull-request-available
>
> 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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[jira] [Assigned] (SPARK-39910) DataFrameReader API cannot read files from hadoop archives (.har)

2023-10-25 Thread ASF GitHub Bot (Jira) 


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

ASF GitHub Bot reassigned SPARK-39910:
--

Assignee: (was: Apache Spark)

> 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, pull-request-available
>
> 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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[jira] [Assigned] (SPARK-39910) DataFrameReader API cannot read files from hadoop archives (.har)

2023-10-25 Thread ASF GitHub Bot (Jira) 


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

ASF GitHub Bot reassigned SPARK-39910:
--

Assignee: Apache Spark

> 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
>Assignee: Apache Spark
>Priority: Minor
>  Labels: DataFrameReader, pull-request-available
>
> 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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