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https://issues.apache.org/jira/browse/SPARK-33605?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17599162#comment-17599162
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Dongjoon Hyun commented on SPARK-33605:
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{{My bad. It was Java 8.}}
{{-
https://github.com/GoogleCloudDataproc/hadoop-connectors/blob/8453ce7ce7510e983bae7470909fbd02704c0539/pom.xml#L76-L77}}
{quote}{{<build.java.source.version>8</build.java.source.version>}}
{{<build.java.target.version>8</build.java.target.version>}}
{quote}
> 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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