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Martin Grotzke commented on SOLR-2583: -------------------------------------- I just compared memory consumption of the 3 different approaches, with different number of puts (number of scores) and sizes (number of docs): {noformat} Puts 1.000, size 1.000.000: CompactFloatArray 898.136, float[] 4.000.016, HashMap 72.192 Puts 10.000, size 1.000.000: CompactFloatArray 3.724.376, float[] 4.000.016, HashMap 702.784 Puts 100.000, size 1.000.000: CompactFloatArray 4.016.472, float[] 4.000.016, HashMap 6.607.808 Puts 1.000.000, size 1.000.000: CompactFloatArray 4.016.472, float[] 4.000.016, HashMap 44.644.032 Puts 1.000, size 5.000.000: CompactFloatArray 1.128.536, float[] 20.000.016, HashMap 72.256 Puts 10.000, size 5.000.000: CompactFloatArray 8.168.536, float[] 20.000.016, HashMap 704.832 Puts 100.000, size 5.000.000: CompactFloatArray 20.013.144, float[] 20.000.016, HashMap 7.385.152 Puts 1.000.000, size 5.000.000: CompactFloatArray 20.131.160, float[] 20.000.016, HashMap 66.395.584 Puts 1.000, size 10.000.000: CompactFloatArray 1.275.992, float[] 40.000.016, HashMap 72.256 Puts 10.000, size 10.000.000: CompactFloatArray 9.289.816, float[] 40.000.016, HashMap 705.280 Puts 100.000, size 10.000.000: CompactFloatArray 37.130.328, float[] 40.000.016, HashMap 7.418.112 Puts 1.000.000, size 10.000.000: CompactFloatArray 40.262.232, float[] 40.000.016, HashMap 69.282.496 {noformat} I want to share this intermediately, without further interpretation/conclusion for now (I just need to get the train). > Make external scoring more efficient (ExternalFileField, FileFloatSource) > ------------------------------------------------------------------------- > > Key: SOLR-2583 > URL: https://issues.apache.org/jira/browse/SOLR-2583 > Project: Solr > Issue Type: Improvement > Components: search > Reporter: Martin Grotzke > Priority: Minor > Attachments: FileFloatSource.java.patch, patch.txt > > > External scoring eats much memory, depending on the number of documents in > the index. The ExternalFileField (used for external scoring) uses > FileFloatSource, where one FileFloatSource is created per external scoring > file. FileFloatSource creates a float array with the size of the number of > docs (this is also done if the file to load is not found). If there are much > less entries in the scoring file than there are number of docs in total the > big float array wastes much memory. > This could be optimized by using a map of doc -> score, so that the map > contains as many entries as there are scoring entries in the external file, > but not more. -- This message is automatically generated by JIRA. For more information on JIRA, see: http://www.atlassian.com/software/jira --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org