[jira] [Commented] (SPARK-23654) Cut jets3t as a dependency of spark-core
[ https://issues.apache.org/jira/browse/SPARK-23654?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16581833#comment-16581833 ] Apache Spark commented on SPARK-23654: -- User 'steveloughran' has created a pull request for this issue: https://github.com/apache/spark/pull/22117 > Cut jets3t as a dependency of spark-core > > > Key: SPARK-23654 > URL: https://issues.apache.org/jira/browse/SPARK-23654 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 2.4.0 >Reporter: Steve Loughran >Assignee: Steve Loughran >Priority: Minor > > Spark core declares a dependency on Jets3t, which pulls in other cruft > # the hadoop-cloud module pulls in the hadoop-aws module with the > jets3t-compatible connectors, and the relevant dependencies: the spark-core > dependency is incomplete if that module isn't built, and superflous or > inconsistent if it is. > # We've cut out s3n/s3 and all dependencies on jets3t entirely from hadoop > 3.x in favour we're willing to maintain. > JetS3t was wonderful when it came out, but now the amazon SDKs massively > exceed it in functionality, albeit at the expense of week-to-week stability > and JAR binary compatibility -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23654) Cut jets3t as a dependency of spark-core
[ https://issues.apache.org/jira/browse/SPARK-23654?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16577334#comment-16577334 ] Apache Spark commented on SPARK-23654: -- User 'srowen' has created a pull request for this issue: https://github.com/apache/spark/pull/22081 > Cut jets3t as a dependency of spark-core > > > Key: SPARK-23654 > URL: https://issues.apache.org/jira/browse/SPARK-23654 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 2.4.0 >Reporter: Steve Loughran >Priority: Minor > > Spark core declares a dependency on Jets3t, which pulls in other cruft > # the hadoop-cloud module pulls in the hadoop-aws module with the > jets3t-compatible connectors, and the relevant dependencies: the spark-core > dependency is incomplete if that module isn't built, and superflous or > inconsistent if it is. > # We've cut out s3n/s3 and all dependencies on jets3t entirely from hadoop > 3.x in favour we're willing to maintain. > JetS3t was wonderful when it came out, but now the amazon SDKs massively > exceed it in functionality, albeit at the expense of week-to-week stability > and JAR binary compatibility -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23654) Cut jets3t as a dependency of spark-core
[ https://issues.apache.org/jira/browse/SPARK-23654?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16450449#comment-16450449 ] Apache Spark commented on SPARK-23654: -- User 'steveloughran' has created a pull request for this issue: https://github.com/apache/spark/pull/21146 > Cut jets3t as a dependency of spark-core > > > Key: SPARK-23654 > URL: https://issues.apache.org/jira/browse/SPARK-23654 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 2.4.0 >Reporter: Steve Loughran >Priority: Minor > > Spark core declares a dependency on Jets3t, which pulls in other cruft > # the hadoop-cloud module pulls in the hadoop-aws module with the > jets3t-compatible connectors, and the relevant dependencies: the spark-core > dependency is incomplete if that module isn't built, and superflous or > inconsistent if it is. > # We've cut out s3n/s3 and all dependencies on jets3t entirely from hadoop > 3.x in favour we're willing to maintain. > JetS3t was wonderful when it came out, but now the amazon SDKs massively > exceed it in functionality, albeit at the expense of week-to-week stability > and JAR binary compatibility -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23654) cut jets3t as a dependency of spark-core; exclude it from hadoop-cloud module as incompatible
[ https://issues.apache.org/jira/browse/SPARK-23654?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16398653#comment-16398653 ] Steve Loughran commented on SPARK-23654: # In Hadoop 3.x anyone trying to create an s3n client is told to upgrade to the s3a connector; without that code snippet callers will get a class not found exception, which may lull them into thinking its fixable. # spark-kinesis declares a "provided dependency on the jar. If it really needs it, it would make sense to scope it to compile, and at least remove it from the main spark-core transient dependency list. > cut jets3t as a dependency of spark-core; exclude it from hadoop-cloud module > as incompatible > - > > Key: SPARK-23654 > URL: https://issues.apache.org/jira/browse/SPARK-23654 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 2.4.0 >Reporter: Steve Loughran >Priority: Minor > > Spark core declares a dependency on Jets3t, which pulls in other cruft > # the hadoop-cloud module pulls in the hadoop-aws module with the > jets3t-compatible connectors, and the relevant dependencies: the spark-core > dependency is incomplete if that module isn't built, and superflous or > inconsistent if it is. > # We've cut out s3n/s3 and all dependencies on jets3t entirely from hadoop > 3.x in favour we're willing to maintain. > JetS3t was wonderful when it came out, but now the amazon SDKs massively > exceed it in functionality, albeit at the expense of week-to-week stability > and JAR binary compatibility -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23654) cut jets3t as a dependency of spark-core
[ https://issues.apache.org/jira/browse/SPARK-23654?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16395451#comment-16395451 ] Steve Loughran commented on SPARK-23654: SPARK-22634 highights that the spark-hadoop-cloud module can't include jets3t and expect spark to be consistent w.r.t bouncy castle. Since you can't get s3n/s3 to work right now anyway, excluding jets3t from the hadoop-cloud module will at least stop people trying to use it > cut jets3t as a dependency of spark-core > > > Key: SPARK-23654 > URL: https://issues.apache.org/jira/browse/SPARK-23654 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 2.4.0 >Reporter: Steve Loughran >Priority: Minor > > Spark core declares a dependency on Jets3t, which pulls in other cruft > # the hadoop-cloud module pulls in the hadoop-aws module with the > jets3t-compatible connectors, and the relevant dependencies: the spark-core > dependency is incomplete if that module isn't built, and superflous or > inconsistent if it is. > # We've cut out s3n/s3 and all dependencies on jets3t entirely from hadoop > 3.x in favour we're willing to maintain. > JetS3t was wonderful when it came out, but now the amazon SDKs massively > exceed it in functionality, albeit at the expense of week-to-week stability > and JAR binary compatibility -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
