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How to use PipelineDB to automate the updating of a Slowly Changing Dimension Table?


Changing a table into a continuous view - issue with dependent continuous viewsHow do I list all streams and continuous views in pipelinedb?Pipelinedb: How to group stream data by each N minutes in continuous viewHow to stream output from a continous view in pipelinedb?How to Update kafka extension in PipelinedbCan table be used as a stream in PipelineDBHow to Upgrade version pipelinedbHow to add a column to continuous transform in pipelinedb






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0















Can PipelineDB be used to automate the updating of a Slowly Changing Dimension table (type 2)?



Specific example:



Say I've got a table called ProductOfferHistory, which tracks product offers for a particular product/store/daterange combination. (i.e.: price, isAvail, storeId, productId, fromDt, toDt). If a new OfferEvent comes in (productId, StoreId, price, isAvail, dt) one of 2 things should happen:



1) price/isAvail is the same as the last recorded ProductOfferHistory-record for productId/storeId. In that case: skip



2) price/isAvail is different from the last recorded ProductOfferHistory-record for productId/storeId. In that case:



  • set the toDT of said last record to event.dt

  • create a new record: price/isAvail/storeId/productId/fromDt = event.dt

Would it be possible using PipelineDB to have OfferEvents come in as a stream, and update the ProductOfferHistory with above described logic?










share|improve this question






























    0















    Can PipelineDB be used to automate the updating of a Slowly Changing Dimension table (type 2)?



    Specific example:



    Say I've got a table called ProductOfferHistory, which tracks product offers for a particular product/store/daterange combination. (i.e.: price, isAvail, storeId, productId, fromDt, toDt). If a new OfferEvent comes in (productId, StoreId, price, isAvail, dt) one of 2 things should happen:



    1) price/isAvail is the same as the last recorded ProductOfferHistory-record for productId/storeId. In that case: skip



    2) price/isAvail is different from the last recorded ProductOfferHistory-record for productId/storeId. In that case:



    • set the toDT of said last record to event.dt

    • create a new record: price/isAvail/storeId/productId/fromDt = event.dt

    Would it be possible using PipelineDB to have OfferEvents come in as a stream, and update the ProductOfferHistory with above described logic?










    share|improve this question


























      0












      0








      0








      Can PipelineDB be used to automate the updating of a Slowly Changing Dimension table (type 2)?



      Specific example:



      Say I've got a table called ProductOfferHistory, which tracks product offers for a particular product/store/daterange combination. (i.e.: price, isAvail, storeId, productId, fromDt, toDt). If a new OfferEvent comes in (productId, StoreId, price, isAvail, dt) one of 2 things should happen:



      1) price/isAvail is the same as the last recorded ProductOfferHistory-record for productId/storeId. In that case: skip



      2) price/isAvail is different from the last recorded ProductOfferHistory-record for productId/storeId. In that case:



      • set the toDT of said last record to event.dt

      • create a new record: price/isAvail/storeId/productId/fromDt = event.dt

      Would it be possible using PipelineDB to have OfferEvents come in as a stream, and update the ProductOfferHistory with above described logic?










      share|improve this question
















      Can PipelineDB be used to automate the updating of a Slowly Changing Dimension table (type 2)?



      Specific example:



      Say I've got a table called ProductOfferHistory, which tracks product offers for a particular product/store/daterange combination. (i.e.: price, isAvail, storeId, productId, fromDt, toDt). If a new OfferEvent comes in (productId, StoreId, price, isAvail, dt) one of 2 things should happen:



      1) price/isAvail is the same as the last recorded ProductOfferHistory-record for productId/storeId. In that case: skip



      2) price/isAvail is different from the last recorded ProductOfferHistory-record for productId/storeId. In that case:



      • set the toDT of said last record to event.dt

      • create a new record: price/isAvail/storeId/productId/fromDt = event.dt

      Would it be possible using PipelineDB to have OfferEvents come in as a stream, and update the ProductOfferHistory with above described logic?







      pipelinedb






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 24 at 15:06







      Geert-Jan

















      asked Mar 24 at 14:16









      Geert-JanGeert-Jan

      10.3k858110




      10.3k858110






















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