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Michael Sun edited comment on SOLR-9764 at 11/20/16 5:49 PM: ------------------------------------------------------------- [~elyograg] Thanks for reviewing. The patch was wrong. I uploaded an updated one. There was a mistake in git command in patch creation. Apologize for it. For run length encoding, it can be a good direction for further memory optimization. [~mmokhtar] initially suggested this idea, as mentioned in JIRA description. I am trying to gather some supporting data meanwhile to justify the effort and potential risk. Any help would be great. was (Author: michael.sun): [~elyograg] Thanks for reviewing. I uploaded an updated patch. There was a mistake in git command in patch creation. Apologize for it. For run length encoding, it can be a good direction for further memory optimization. [~mmokhtar] initially suggested this idea, as mentioned in JIRA description. I am trying to gather some supporting data meanwhile to justify the effort and potential risk. Any help would be great. > Design a memory efficient DocSet if a query returns all docs > ------------------------------------------------------------ > > Key: SOLR-9764 > URL: https://issues.apache.org/jira/browse/SOLR-9764 > Project: Solr > Issue Type: Improvement > Security Level: Public(Default Security Level. Issues are Public) > Reporter: Michael Sun > Attachments: SOLR-9764.patch, SOLR-9764.patch, SOLR-9764.patch > > > In some use cases, particularly use cases with time series data, using > collection alias and partitioning data into multiple small collections using > timestamp, a filter query can match all documents in a collection. Currently > BitDocSet is used which contains a large array of long integers with every > bits set to 1. After querying, the resulted DocSet saved in filter cache is > large and becomes one of the main memory consumers in these use cases. > For example. suppose a Solr setup has 14 collections for data in last 14 > days, each collection with one day of data. A filter query for last one week > data would result in at least six DocSet in filter cache which matches all > documents in six collections respectively. > This is to design a new DocSet that is memory efficient for such a use case. > The new DocSet removes the large array, reduces memory usage and GC pressure > without losing advantage of large filter cache. > In particular, for use cases when using time series data, collection alias > and partition data into multiple small collections using timestamp, the gain > can be large. > For further optimization, it may be helpful to design a DocSet with run > length encoding. Thanks [~mmokhtar] for suggestion. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org