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Add IGNORE NULLS/RESPECT NULLS option to Window functions.
Add IGNORE NULLS/RESPECT NULLS option (null treatment clause) to lead, lag, first_value, last_value and nth_value window functions. If unspecified, the default is RESPECT NULLS which includes NULL values in any result calculation. IGNORE NULLS ignores NULL values. Built-in window functions are modified to call new API WinCheckAndInitializeNullTreatment() to indicate whether they accept IGNORE NULLS/RESPECT NULLS option or not (the API can be called by user defined window functions as well). If WinGetFuncArgInPartition's allowNullTreatment argument is true and IGNORE NULLS option is given, WinGetFuncArgInPartition() or WinGetFuncArgInFrame() will return evaluated function's argument expression on specified non NULL row (if it exists) in the partition or the frame. When IGNORE NULLS option is given, window functions need to visit and evaluate same rows over and over again to look for non null rows. To mitigate the issue, 2-bit not null information array is created while executing window functions to remember whether the row has been already evaluated to NULL or NOT NULL. If already evaluated, we could skip the evaluation work, thus we could get better performance. Author: Oliver Ford <ojford@gmail.com> Co-authored-by: Tatsuo Ishii <ishii@postgresql.org> Reviewed-by: Krasiyan Andreev <krasiyan@gmail.com> Reviewed-by: Andrew Gierth <andrew@tao11.riddles.org.uk> Reviewed-by: Tom Lane <tgl@sss.pgh.pa.us> Reviewed-by: David Fetter <david@fetter.org> Reviewed-by: Vik Fearing <vik@postgresfriends.org> Reviewed-by: "David G. Johnston" <david.g.johnston@gmail.com> Reviewed-by: Chao Li <lic@highgo.com> Discussion: https://postgr.es/m/flat/CAGMVOdsbtRwE_4+v8zjH1d9xfovDeQAGLkP_B6k69_VoFEgX-A@mail.gmail.com
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@@ -1834,8 +1834,8 @@ FROM generate_series(1,10) AS s(i);
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The syntax of a window function call is one of the following:
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<synopsis>
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<replaceable>function_name</replaceable> (<optional><replaceable>expression</replaceable> <optional>, <replaceable>expression</replaceable> ... </optional></optional>) [ FILTER ( WHERE <replaceable>filter_clause</replaceable> ) ] OVER <replaceable>window_name</replaceable>
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<replaceable>function_name</replaceable> (<optional><replaceable>expression</replaceable> <optional>, <replaceable>expression</replaceable> ... </optional></optional>) [ FILTER ( WHERE <replaceable>filter_clause</replaceable> ) ] OVER ( <replaceable class="parameter">window_definition</replaceable> )
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<replaceable>function_name</replaceable> (<optional><replaceable>expression</replaceable> <optional>, <replaceable>expression</replaceable> ... </optional></optional>) <optional>null treatment</optional> [ FILTER ( WHERE <replaceable>filter_clause</replaceable> ) ] OVER <replaceable>window_name</replaceable>
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<replaceable>function_name</replaceable> (<optional><replaceable>expression</replaceable> <optional>, <replaceable>expression</replaceable> ... </optional></optional>) <optional>null treatment</optional> [ FILTER ( WHERE <replaceable>filter_clause</replaceable> ) ] OVER ( <replaceable class="parameter">window_definition</replaceable> )
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<replaceable>function_name</replaceable> ( * ) [ FILTER ( WHERE <replaceable>filter_clause</replaceable> ) ] OVER <replaceable>window_name</replaceable>
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<replaceable>function_name</replaceable> ( * ) [ FILTER ( WHERE <replaceable>filter_clause</replaceable> ) ] OVER ( <replaceable class="parameter">window_definition</replaceable> )
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</synopsis>
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@@ -1873,7 +1873,9 @@ EXCLUDE NO OTHERS
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<para>
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Here, <replaceable>expression</replaceable> represents any value
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expression that does not itself contain window function calls.
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expression that does not itself contain window function calls. Some
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non-aggregate functions allow a <literal>null treatment</literal> clause,
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described in <xref linkend="functions-window"/>.
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</para>
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<para>
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@@ -2048,7 +2050,7 @@ EXCLUDE NO OTHERS
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<para>
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The built-in window functions are described in <xref
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linkend="functions-window-table"/>. Other window functions can be added by
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linkend="functions-window-table"/>. Other window functions can be added by
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the user. Also, any built-in or user-defined general-purpose or
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statistical aggregate can be used as a window function. (Ordered-set
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and hypothetical-set aggregates cannot presently be used as window functions.)
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