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  1. HPCC
  2. HPCC-19373

Spark use of keys

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    • Compatibility:
      Minor

      Description

      There are 3 use cases: keyed lookups; filtered index reads, and keyed joins.

      The keyed lookup will be the equivalent of an index read inside a project transform with a keyed field and optional non-keyed filters.  For example, SELF.foo := indx_attr(KEYED(bar=LEFT.my_var) AND extra_field=LEFT.my_extra);

      The filtered index read will be the equivalent of a PULL(indx_attr(KEYED(...) AND ...)).

      The keyed join will be the equivalent of JOIN(ds, ks, KEYED(...) ..., ...)

      The details are covered in the individual JIRA tickets.

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          Issue Links

          is blocked by

          Sub-task - The sub-task of the issue HPCC-18475 Extend remote filtering to include indexes

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. HPCC-19480 Add keyed lookup and fetch support.

          • Major - Major loss of function.
          • Scheduled
          relates to

          Improvement - An improvement or enhancement to an existing feature or task. HPCC-19374 Spark use of Keys, keyed lookups

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. HPCC-19375 Spark use of keys: filtered index read

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. HPCC-19376 Spark use of keys: keyed join

          • Major - Major loss of function.
          • Resolved

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              Assignee:
              rpastrana Rodrigo Pastrana
              Reporter:
              johnholt John Holt
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