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Apache Spark commented on SPARK-26090: -------------------------------------- User 'srowen' has created a pull request for this issue: https://github.com/apache/spark/pull/23065 > Resolve most miscellaneous deprecation and build warnings for Spark 3 > --------------------------------------------------------------------- > > Key: SPARK-26090 > URL: https://issues.apache.org/jira/browse/SPARK-26090 > Project: Spark > Issue Type: Improvement > Components: ML, Spark Core, SQL > Affects Versions: 3.0.0 > Reporter: Sean Owen > Assignee: Sean Owen > Priority: Minor > Labels: release-notes > > The build has a lot of deprecation warnings. Some are new in Scala 2.12 and > Java 11. We've fixed some, but I wanted to take a pass at fixing lots of easy > miscellaneous ones here. > They're too numerous and small to list here; see the pull request. Some > highlights: > - @BeanInfo is deprecated in 2.12, and BeanInfo classes are pretty ancient in > Java. Instead, case classes can explicitly declare getters > - Lots of work in the Kinesis examples to update and avoid deprecation > - Eta expansion of zero-arg methods; foo() becomes () => foo() in many cases > - Floating-point Range is inexact and deprecated, like 0.0 to 100.0 by 1.0 > - finalize() is finally deprecated (just needs to be suppressed) > - StageInfo.attempId was deprecated and easiest to remove here > I'm not now going to touch some chunks of deprecation warnings: > - Parquet deprecations > - Hive deprecations (particularly serde2 classes) > - Deprecations in generated code (mostly Thriftserver CLI) > - ProcessingTime deprecations (we may need to revive this class as internal) > - many MLlib deprecations because they concern methods that may be removed > anyway > - a few Kinesis deprecations I couldn't figure out > - Mesos get/setRole, which I don't know well > - Kafka/ZK deprecations (e.g. poll()) > - a few other ones that will probably resolve by deleting a deprecated method -- 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