8000 Allow extensions to generate lossy index conditions. · postgrespro/postgres_cluster@74dfe58 · GitHub
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Allow extensions to generate lossy index conditions.
For a long time, indxpath.c has had the ability to extract derived (lossy) index conditions from certain operators such as LIKE. For just as long, it's been obvious that we really ought to make that capability available to extensions. This commit finally accomplishes that, by adding another API for planner support functions that lets them create derived index conditions for their functions. As proof of concept, the hardwired "special index operator" code formerly present in indxpath.c is pushed out to planner support functions attached to LIKE and other relevant operators. A weak spot in this design is that an extension needs to know OIDs for the operators, datatypes, and opfamilies involved in the transformation it wants to make. The core-code prototypes use hard-wired OID references but extensions don't have that option for their own operators etc. It's usually possible to look up the required info, but that may be slow and inconvenient. However, improving that situation is a separate task. I want to do some additional refactorization around selfuncs.c, but that also seems like a separate task. Discussion: https://postgr.es/m/15193.1548028093@sss.pgh.pa.us
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  • doc/src/sgml
  • src
    • backend
      • optimizer
      • < 10000 div class="PRIVATE_TreeView-item-container prc-TreeView-TreeViewItemContainer--2Rkn" style="--level:3">
        utils/adt
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  • test/regress
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    doc/src/sgml/xfunc.sgml

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    @@ -3460,4 +3460,18 @@ supportfn(internal) returns internal
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    This can be done by a support function that implements
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    the <literal>SupportRequestRows</literal> request type.
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    </para>
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    <para>
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    For target functions that return boolean, it may be possible to
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    convert a function call appearing in WHERE into an indexable operator
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    clause or clauses. The converted clauses might be exactly equivalent
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    to the function's condition, or they could be somewhat weaker (that is,
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    they might accept some values that the function condition does not).
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    In the latter case the index condition is said to
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    be <firstterm>lossy</firstterm>; it can still be used to scan an index,
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    but the function call will have to be executed for each row returned by
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    the index to see if it really passes the WHERE condition or not.
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    To create such conditions, the support function must implement
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    the <literal>SupportRequestIndexCondition</literal> request type.
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    </para>
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    </sect1>

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