[jira] [Assigned] (SPARK-33605) Add GCS FS/connector config (dependencies?) akin to S3

2022-09-06 Thread Dongjoon Hyun (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-33605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Dongjoon Hyun reassigned SPARK-33605:
-

Assignee: Dongjoon Hyun

> Add GCS FS/connector config (dependencies?) akin to S3
> --
>
> Key: SPARK-33605
> URL: https://issues.apache.org/jira/browse/SPARK-33605
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark, Spark Core
>Affects Versions: 3.0.1
>Reporter: Rafal Wojdyla
>Assignee: Dongjoon Hyun
>Priority: Major
>
> Spark comes with some S3 batteries included, which makes it easier to use 
> with S3, for GCS to work users are required to manually configure the jars. 
> This is especially problematic for python users who may not be accustomed to 
> java dependencies etc. This is an example of workaround for pyspark: 
> [pyspark_gcs|https://github.com/ravwojdyla/pyspark_gcs]. If we include the 
> [GCS 
> connector|https://cloud.google.com/dataproc/docs/concepts/connectors/cloud-storage],
>  it would make things easier for GCS users.
> Please let me know what you think.



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[jira] [Assigned] (SPARK-33605) Add GCS FS/connector config (dependencies?) akin to S3

2022-09-01 Thread Apache Spark (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-33605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-33605:


Assignee: Apache Spark

> Add GCS FS/connector config (dependencies?) akin to S3
> --
>
> Key: SPARK-33605
> URL: https://issues.apache.org/jira/browse/SPARK-33605
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark, Spark Core
>Affects Versions: 3.0.1
>Reporter: Rafal Wojdyla
>Assignee: Apache Spark
>Priority: Major
>
> Spark comes with some S3 batteries included, which makes it easier to use 
> with S3, for GCS to work users are required to manually configure the jars. 
> This is especially problematic for python users who may not be accustomed to 
> java dependencies etc. This is an example of workaround for pyspark: 
> [pyspark_gcs|https://github.com/ravwojdyla/pyspark_gcs]. If we include the 
> [GCS 
> connector|https://cloud.google.com/dataproc/docs/concepts/connectors/cloud-storage],
>  it would make things easier for GCS users.
> Please let me know what you think.



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[jira] [Assigned] (SPARK-33605) Add GCS FS/connector config (dependencies?) akin to S3

2022-09-01 Thread Apache Spark (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-33605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-33605:


Assignee: (was: Apache Spark)

> Add GCS FS/connector config (dependencies?) akin to S3
> --
>
> Key: SPARK-33605
> URL: https://issues.apache.org/jira/browse/SPARK-33605
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark, Spark Core
>Affects Versions: 3.0.1
>Reporter: Rafal Wojdyla
>Priority: Major
>
> Spark comes with some S3 batteries included, which makes it easier to use 
> with S3, for GCS to work users are required to manually configure the jars. 
> This is especially problematic for python users who may not be accustomed to 
> java dependencies etc. This is an example of workaround for pyspark: 
> [pyspark_gcs|https://github.com/ravwojdyla/pyspark_gcs]. If we include the 
> [GCS 
> connector|https://cloud.google.com/dataproc/docs/concepts/connectors/cloud-storage],
>  it would make things easier for GCS users.
> Please let me know what you think.



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[jira] [Assigned] (SPARK-33605) Add GCS FS/connector config (dependencies?) akin to S3

2022-08-31 Thread Apache Spark (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-33605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-33605:


Assignee: (was: Apache Spark)

> Add GCS FS/connector config (dependencies?) akin to S3
> --
>
> Key: SPARK-33605
> URL: https://issues.apache.org/jira/browse/SPARK-33605
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark, Spark Core
>Affects Versions: 3.0.1
>Reporter: Rafal Wojdyla
>Priority: Major
>
> Spark comes with some S3 batteries included, which makes it easier to use 
> with S3, for GCS to work users are required to manually configure the jars. 
> This is especially problematic for python users who may not be accustomed to 
> java dependencies etc. This is an example of workaround for pyspark: 
> [pyspark_gcs|https://github.com/ravwojdyla/pyspark_gcs]. If we include the 
> [GCS 
> connector|https://cloud.google.com/dataproc/docs/concepts/connectors/cloud-storage],
>  it would make things easier for GCS users.
> Please let me know what you think.



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[jira] [Assigned] (SPARK-33605) Add GCS FS/connector config (dependencies?) akin to S3

2022-08-31 Thread Apache Spark (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-33605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-33605:


Assignee: Apache Spark

> Add GCS FS/connector config (dependencies?) akin to S3
> --
>
> Key: SPARK-33605
> URL: https://issues.apache.org/jira/browse/SPARK-33605
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark, Spark Core
>Affects Versions: 3.0.1
>Reporter: Rafal Wojdyla
>Assignee: Apache Spark
>Priority: Major
>
> Spark comes with some S3 batteries included, which makes it easier to use 
> with S3, for GCS to work users are required to manually configure the jars. 
> This is especially problematic for python users who may not be accustomed to 
> java dependencies etc. This is an example of workaround for pyspark: 
> [pyspark_gcs|https://github.com/ravwojdyla/pyspark_gcs]. If we include the 
> [GCS 
> connector|https://cloud.google.com/dataproc/docs/concepts/connectors/cloud-storage],
>  it would make things easier for GCS users.
> Please let me know what you think.



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