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Mapa mental

joiner

dbrown INFA 1 Inglês

Conteúdo do mapa

joiner

  1. active

  2. conected

  3. matches 1 or more pairs of columns between 2 sources

  4. limitations

    • cant use when either input pipeline contains and update strategy
    • Sequence Generator cant be directly before it
  5. caching

    • joiner data cache size
      • default is 2M
    • joiner index cache size
      • default 1M
  6. join condition

    • Join type
      • normal (FASTER)
        • Discards all rows of data from the master and detail sources that do not match
      • master outer (FASTER)
        • Keeps all rows of data from detail source and matching rows from master; discards unmatched rows from master
      • detail outer
        • Keeps all rows of data from master source and matching rows from detail; discards unmatched detail
      • full outer
        • keeps all rows of data from both the master and detail
    • compares each MASTER source against detail source
      • sorted input
        • to improve performance user source with fewer duplicate key values as the master
        • using source qualifier or sorter;
          • use transformations that maintain order
            • configure joiner to use sorted date
              • join condition to use sort origin psort
            • do NOT place between sort origin & joiner: Custom, Unsorted Agg, Normalizer, Rank, Union, XML P or G, or Mapplet with any of them
      • unsorted
        • to improve performance, use source with fewer rows as MASTER
    • sources
      • master pipeline or master branch
        • 2nd source added
      • detail pipeline or detail branch
        • first source added
      • can change these by clicking the M column on the Ports tab
    • must have same datatypes
    • doesn't match NULL

Informações

Descrição
1 INFA Mapa Mental sobre joiner, criado por dbrown em 24-11-2013.
Criado por
dbrown
Visualizações
26
Tags
infa
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