[ https://issues.apache.org/jira/browse/SPARK-28421?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen reassigned SPARK-28421: --------------------------------- Assignee: zhengruifeng > SparseVector.apply performance optimization > ------------------------------------------- > > Key: SPARK-28421 > URL: https://issues.apache.org/jira/browse/SPARK-28421 > Project: Spark > Issue Type: Improvement > Components: ML > Affects Versions: 3.0.0 > Reporter: zhengruifeng > Assignee: zhengruifeng > Priority: Major > > Current impl of SparseVector.apply is inefficient: > on each call, breeze.linalg.SparseVector & > breeze.collection.mutable.SparseArray are created internally, then > binary-search is used to search the input position. > > This place should be optimized like .ml.SparseMatrix, which directly use > binary search, without conversion to breeze.linalg.Matrix. > > I tested the performance and found that if we avoid the internal conversions, > then a 2.5~5X speed up can be obtained. -- This message was sent by Atlassian JIRA (v7.6.14#76016) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org