[jira] [Commented] (SPARK-22450) Safely register class for mllib
[ https://issues.apache.org/jira/browse/SPARK-22450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16679467#comment-16679467 ] Apache Spark commented on SPARK-22450: -- User 'zhengruifeng' has created a pull request for this issue: https://github.com/apache/spark/pull/22974 > Safely register class for mllib > --- > > Key: SPARK-22450 > URL: https://issues.apache.org/jira/browse/SPARK-22450 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 2.2.0 >Reporter: Xianyang Liu >Assignee: Xianyang Liu >Priority: Major > Fix For: 2.3.0 > > > There are still some algorithms based on mllib, such as KMeans. For now, > many mllib common class (such as: Vector, DenseVector, SparseVector, Matrix, > DenseMatrix, SparseMatrix) are not registered in Kryo. So there are some > performance issues for those object serialization or deserialization. > Previously dicussed: https://github.com/apache/spark/pull/19586 -- 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-22450) Safely register class for mllib
[ https://issues.apache.org/jira/browse/SPARK-22450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16679468#comment-16679468 ] Apache Spark commented on SPARK-22450: -- User 'zhengruifeng' has created a pull request for this issue: https://github.com/apache/spark/pull/22974 > Safely register class for mllib > --- > > Key: SPARK-22450 > URL: https://issues.apache.org/jira/browse/SPARK-22450 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 2.2.0 >Reporter: Xianyang Liu >Assignee: Xianyang Liu >Priority: Major > Fix For: 2.3.0 > > > There are still some algorithms based on mllib, such as KMeans. For now, > many mllib common class (such as: Vector, DenseVector, SparseVector, Matrix, > DenseMatrix, SparseMatrix) are not registered in Kryo. So there are some > performance issues for those object serialization or deserialization. > Previously dicussed: https://github.com/apache/spark/pull/19586 -- 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-22450) Safely register class for mllib
[ https://issues.apache.org/jira/browse/SPARK-22450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16387630#comment-16387630 ] Richard Wilkinson commented on SPARK-22450: --- Just as an FYI, the change to org.apache.spark.serializer.KryoSerializer#newKryo from (i think this ticket) this is a performance hit over the in 2.2.1. I am calling org.apache.spark.serializer.KryoSerializer#newInstance alot, which is probably an issue in itself (hence not rasing a bug report), but im not aware of how much this is called internal to spark. I do not have the ML jars on my classpath. > Safely register class for mllib > --- > > Key: SPARK-22450 > URL: https://issues.apache.org/jira/browse/SPARK-22450 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 2.2.0 >Reporter: Xianyang Liu >Assignee: Xianyang Liu >Priority: Major > Fix For: 2.3.0 > > > There are still some algorithms based on mllib, such as KMeans. For now, > many mllib common class (such as: Vector, DenseVector, SparseVector, Matrix, > DenseMatrix, SparseMatrix) are not registered in Kryo. So there are some > performance issues for those object serialization or deserialization. > Previously dicussed: https://github.com/apache/spark/pull/19586 -- 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-22450) Safely register class for mllib
[ https://issues.apache.org/jira/browse/SPARK-22450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16287483#comment-16287483 ] Apache Spark commented on SPARK-22450: -- User 'zhengruifeng' has created a pull request for this issue: https://github.com/apache/spark/pull/19950 > Safely register class for mllib > --- > > Key: SPARK-22450 > URL: https://issues.apache.org/jira/browse/SPARK-22450 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 2.2.0 >Reporter: Xianyang Liu >Assignee: Xianyang Liu > Fix For: 2.3.0 > > > There are still some algorithms based on mllib, such as KMeans. For now, > many mllib common class (such as: Vector, DenseVector, SparseVector, Matrix, > DenseMatrix, SparseMatrix) are not registered in Kryo. So there are some > performance issues for those object serialization or deserialization. > Previously dicussed: https://github.com/apache/spark/pull/19586 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-22450) Safely register class for mllib
[ https://issues.apache.org/jira/browse/SPARK-22450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16239841#comment-16239841 ] Apache Spark commented on SPARK-22450: -- User 'ConeyLiu' has created a pull request for this issue: https://github.com/apache/spark/pull/19661 > Safely register class for mllib > --- > > Key: SPARK-22450 > URL: https://issues.apache.org/jira/browse/SPARK-22450 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 2.2.0 >Reporter: Xianyang Liu > > There are still some algorithms based on mllib, such as KMeans. For now, > many mllib common class (such as: Vector, DenseVector, SparseVector, Matrix, > DenseMatrix, SparseMatrix) are not registered in Kryo. So there are some > performance issues for those object serialization or deserialization. > Previously dicussed: https://github.com/apache/spark/pull/19586 -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
