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James Taylor commented on PHOENIX-4724: --------------------------------------- Great stuff, [~vincentpoon]. Couple of questions: * Does the histogram building take into account when a value is being overwritten again and again (since at write time we don't know if we're overwriting or not, unless the table is declared immutable)? Same question on delete of a column value. * How would you envision this be integrated with Phoenix? Maybe we could generate it when we update stats: at table compaction time and when UPDATE STATISTICS is called? Or depending on answers to above, would we try to constantly update the histogram as the data is mutating? * This information would definitely be useful for the optimizer. We have PHOENIX-1178, but not much detail there. [~maryannxue] could likely fill in how this information could be used. One big area is in estimating how much data will be filtered with a WHERE clause. Another is in how distinct a column is. * Did you write EquiDepthStreamHistogram.java or did you find it somewhere online? If that latter, how was it licensed? > Efficient Equi-Depth histogram for streaming data > ------------------------------------------------- > > Key: PHOENIX-4724 > URL: https://issues.apache.org/jira/browse/PHOENIX-4724 > Project: Phoenix > Issue Type: Sub-task > Reporter: Vincent Poon > Assignee: Vincent Poon > Priority: Major > Attachments: PHOENIX-4724.v1.patch > > > Equi-Depth histogram from > http://web.cs.ucla.edu/~zaniolo/papers/Histogram-EDBT2011-CamReady.pdf, but > without the sliding window - we assume a single window over the entire data > set. > Used to generate the bucket boundaries of a histogram where each bucket has > the same # of items. > This is useful, for example, for pre-splitting an index table, by feeding in > data from the indexed column. > Works on streaming data - the histogram is dynamically updated for each new > value. -- This message was sent by Atlassian JIRA (v7.6.3#76005)