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Streaming views over Streaming Data

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Streaming views over Streaming Data Sirish Chandrasekaran Query Engine Features Scale along: # data streams frequency of data arrival #queries Wave-indices ... – PowerPoint PPT presentation

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Title: Streaming views over Streaming Data


1
Streaming views over Streaming Data
  • Sirish Chandrasekaran

2
Query Engine Features
  • Scale along
  • data streams
  • frequency of data arrival
  • queries
  • Wave-indices, chronicles dont quite make the
    cut.
  • Dont sacrifice query expressiveness.
  • XFilter, NiagaraCQ, ContQEddy are only filters.
  • new queries cant process old data

3
General outline of a solution - 1
  • Insight! treat data and views the same
  • probe data with streaming views
  • probe views with streaming data
  • Select, Join symmetric join of data and
    predicates.

4
General outline of a solution - 2
  • Scalar Aggregates
  • grid files ranked trees for one-pass scalar
    aggs.
  • count, sum, avg., min, max, median, percentile
  • Iceberg cubes? pathological case Cube
  • Store most restrictive cube and compute the rest??
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