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Commit 549d98a

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Nikita Glukhov
committed
Fix docs structure for SQL/JSON constructors
1 parent 903feea commit 549d98a

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‎doc/src/sgml/func.sgml

Lines changed: 53 additions & 70 deletions
Original file line numberDiff line numberDiff line change
@@ -16899,33 +16899,30 @@ $ ? (@ like_regex "^\\d+$")
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<itemizedlist>
1690016900
<listitem>
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<para>
16902-
<xref linkend="functions-jsonobject"/>
16902+
<link linkend="functions-jsonobject"><literal>JSON_OBJECT</literal></link>
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</para>
1690416904
</listitem>
1690516905
<listitem>
1690616906
<para>
16907-
<xref linkend="functions-jsonobjectagg"/>
16907+
<link linkend="functions-jsonobjectagg"><literal>JSON_OBJECTAGG</literal></link>
1690816908
</para>
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</listitem>
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<listitem>
1691116911
<para>
16912-
<xref linkend="functions-jsonarray"/>
16912+
<link linkend="functions-jsonarray"><literal>JSON_ARRAY</literal></link>
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</para>
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</listitem>
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<listitem>
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<para>
16917-
<xref linkend="functions-jsonarrayagg"/>
16917+
<link linkend="functions-jsonarrayagg"><literal>JSON_ARRAYAGG</literal></link>
1691816918
</para>
1691916919
</listitem>
1692016920
</itemizedlist>
1692116921

16922-
<refentry id="functions-jsonobject">
16923-
<refnamediv>
16924-
<refname>JSON_OBJECT</refname>
16925-
<refpurpose>create a JSON object</refpurpose>
16926-
</refnamediv>
16922+
<sect4 id="functions-jsonobject">
16923+
<title><literal>JSON_OBJECT</literal></title>
16924+
<indexterm><primary>json_object</primary></indexterm>
1692716925

16928-
<refsynopsisdiv>
1692916926
<synopsis>
1693016927
<function>JSON_OBJECT</function> (
1693116928
<optional> { <parameter>key_expression</parameter> { VALUE | ':' }
@@ -16934,20 +16931,18 @@ $ ? (@ like_regex "^\\d+$")
1693416931
<optional> { WITH | WITHOUT } UNIQUE <optional> KEYS </optional> </optional>
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<optional> RETURNING <replaceable class="parameter">data_type</replaceable> <optional> FORMAT JSON <optional> ENCODING UTF8 </optional> </optional> </optional>
1693616933
)
16937-
1693816934
</synopsis>
16939-
</refsynopsisdiv>
1694016935

16941-
<refsect1>
16936+
<sect5>
1694216937
<title>Description</title>
1694316938

1694416939
<para>
1694516940
<function>JSON_OBJECT</function> function generates a <acronym>JSON</acronym>
1694616941
object from <acronym>SQL</acronym> or <acronym>JSON</acronym> data.
1694716942
</para>
16948-
</refsect1>
16943+
</sect5>
1694916944

16950-
<refsect1>
16945+
<sect5>
1695116946
<title>Parameters</title>
1695216947
<variablelist>
1695316948

@@ -17072,18 +17067,18 @@ $ ? (@ like_regex "^\\d+$")
1707217067
</varlistentry>
1707317068

1707417069
</variablelist>
17075-
</refsect1>
17070+
</sect5>
1707617071

17077-
<refsect1>
17072+
<sect5>
1707817073
<title>Notes</title>
1707917074
<para>Alternatively, you can construct <acronym>JSON</acronym> objects by using
1708017075
<productname>PostgreSQL</productname>-specific <function>json_build_object()</function>/
1708117076
<function>jsonb_build_object()</function> functions.
1708217077
See <xref linkend="functions-json-creation-table"/> for details.
1708317078
</para>
17084-
</refsect1>
17079+
</sect5>
1708517080

17086-
<refsect1>
17081+
<sect5>
1708717082
<title>Examples</title>
1708817083
<para>
1708917084
Construct a JSON object from the provided key/value pairs of various types:
@@ -17134,16 +17129,13 @@ WHERE f.did = 103;
1713417129
{"code" : "P_303", "title" : "48 Hrs", "did" : 103}
1713517130
(3 rows)
1713617131
</screen>
17137-
</refsect1>
17138-
</refentry>
17139-
17140-
<refentry id="functions-jsonobjectagg">
17141-
<refnamediv>
17142-
<refname>JSON_OBJECTAGG</refname>
17143-
<refpurpose>create a JSON object as an aggregate of the provided data</refpurpose>
17144-
</refnamediv>
17132+
</sect5>
17133+
</sect4>
1714517134

17146-
<refsynopsisdiv>
17135+
<sect4 id="functions-jsonobjectagg">
17136+
<title><literal>JSON_OBJECTAGG</literal></title>
17137+
<indexterm><primary>json_objectagg</primary></indexterm>
17138+
1714717139
<synopsis>
1714817140
<function>JSON_OBJECTAGG</function> (
1714917141
<optional> { <parameter>key_expression</parameter> { VALUE | ':' } <parameter>value_expression</parameter> } </optional>
@@ -17153,9 +17145,8 @@ WHERE f.did = 103;
1715317145
)
1715417146

1715517147
</synopsis>
17156-
</refsynopsisdiv>
1715717148

17158-
<refsect1>
17149+
<sect5>
1715917150
<title>Description</title>
1716017151

1716117152
<para>
@@ -17165,9 +17156,9 @@ WHERE f.did = 103;
1716517156
or an <command>ORDER BY</command> clause, this function returns a separate JSON object
1716617157
for each table row.
1716717158
</para>
17168-
</refsect1>
17159+
</sect5>
1716917160

17170-
<refsect1>
17161+
<sect5>
1717117162
<title>Parameters</title>
1717217163

1717317164
<variablelist>
@@ -17292,18 +17283,18 @@ WHERE f.did = 103;
1729217283
</varlistentry>
1729317284

1729417285
</variablelist>
17295-
</refsect1>
17286+
</sect5>
1729617287

17297-
<refsect1>
17288+
<sect5>
1729817289
<title>Notes</title>
1729917290
<para>Alternatively, you can create <acronym>JSON</acronym> objects by using
1730017291
<productname>PostgreSQL</productname>-specific <function>json_object_agg()</function>/
1730117292
<function>jsonb_object_agg()</function> aggregate functions.
1730217293
See <xref linkend="functions-aggregate"/> for details.
1730317294
</para>
17304-
</refsect1>
17295+
</sect5>
1730517296

17306-
<refsect1>
17297+
<sect5>
1730717298
<title>Examples</title>
1730817299

1730917300
<para>
@@ -17361,16 +17352,13 @@ Drama | { "The Third Man" : "01:44:00", "Becket" : "02:28:00", "War and P
1736117352
Action | { "Vertigo" : "02:08:00", "48 Hrs" : "01:37:00", "Taxi Driver" : "01:54:00", "Absence of Malice" : "01:55:00" }
1736217353
(5 rows)
1736317354
</screen>
17364-
</refsect1>
17365-
</refentry>
17355+
</sect5>
17356+
</sect4>
1736617357

17367-
<refentry id="functions-jsonarray">
17368-
<refnamediv>
17369-
<refname>JSON_ARRAY</refname>
17370-
<refpurpose>create a JSON array</refpurpose>
17371-
</refnamediv>
17358+
<sect4 id="functions-jsonarray">
17359+
<title><literal>JSON_ARRAY</literal></title>
17360+
<indexterm><primary>json_array</primary></indexterm>
1737217361

17373-
<refsynopsisdiv>
1737417362
<synopsis>
1737517363
<function>JSON_ARRAY</function> (
1737617364
<optional> { <parameter>value_expression</parameter> <optional> FORMAT JSON </optional> } <optional>, ...</optional> </optional>
@@ -17383,18 +17371,17 @@ Action | { "Vertigo" : "02:08:00", "48 Hrs" : "01:37:00", "Taxi Driver" :
1738317371
<optional> RETURNING <replaceable class="parameter">data_type</replaceable> <optional> FORMAT JSON <optional> ENCODING UTF8 </optional> </optional> </optional>
1738417372
)
1738517373
</synopsis>
17386-
</refsynopsisdiv>
1738717374

17388-
<refsect1>
17375+
<sect5>
1738917376
<title>Description</title>
1739017377

1739117378
<para>
1739217379
<function>JSON_ARRAY</function> function constructs a <acronym>JSON</acronym> array from
1739317380
the provided <acronym>SQL</acronym> or <acronym>JSON</acronym> data.
1739417381
</para>
17395-
</refsect1>
17382+
</sect5>
1739617383

17397-
<refsect1>
17384+
<sect5>
1739817385
<title>Parameters</title>
1739917386

1740017387
<variablelist>
@@ -17483,18 +17470,18 @@ Action | { "Vertigo" : "02:08:00", "48 Hrs" : "01:37:00", "Taxi Driver" :
1748317470
</varlistentry>
1748417471

1748517472
</variablelist>
17486-
</refsect1>
17473+
</sect5>
1748717474

17488-
<refsect1>
17475+
<sect5>
1748917476
<title>Notes</title>
1749017477
<para>Alternatively, you can create <acronym>JSON</acronym> arrays by using
1749117478
<productname>PostgreSQL</productname>-specific <function>json_build_array()</function>/
1749217479
<function>jsonb_build_array()</function> functions.
1749317480
See <xref linkend="functions-json"/> for details.
1749417481
</para>
17495-
</refsect1>
17482+
</sect5>
1749617483

17497-
<refsect1>
17484+
<sect5>
1749817485
<title>Examples</title>
1749917486
<para>
1750017487
From the <structname>films</structname> table, select some data
@@ -17534,16 +17521,13 @@ AS film_titles;
1753417521
["Vertigo", "Becket", "48 Hrs"]
1753517522
(1 row)
1753617523
</screen>
17537-
</refsect1>
17538-
</refentry>
17524+
</sect5>
17525+
</sect4>
1753917526

17540-
<refentry id="functions-jsonarrayagg">
17541-
<refnamediv>
17542-
<refname>JSON_ARRAYAGG</refname>
17543-
<refpurpose>aggregate a JSON array</refpurpose>
17544-
</refnamediv>
17527+
<sect4 id="functions-jsonarrayagg">
17528+
<title><literal>JSON_ARRAYAGG</literal></title>
17529+
<indexterm><primary>json_arrayagg</primary></indexterm>
1754517530

17546-
<refsynopsisdiv>
1754717531
<synopsis>
1754817532
<function>JSON_ARRAYAGG</function> (
1754917533
<optional> <parameter>value_expression</parameter> </optional>
@@ -17553,18 +17537,17 @@ AS film_titles;
1755317537
)
1755417538

1755517539
</synopsis>
17556-
</refsynopsisdiv>
1755717540

17558-
<refsect1>
17541+
<sect5>
1755917542
<title>Description</title>
1756017543

1756117544
<para>
1756217545
<function>JSON_ARRAYAGG</function> function aggregates the provided <acronym>SQL</acronym>
1756317546
or <acronym>JSON</acronym> data into a <acronym>JSON</acronym> array.
1756417547
</para>
17565-
</refsect1>
17548+
</sect5>
1756617549

17567-
<refsect1>
17550+
<sect5>
1756817551
<title>Parameters</title>
1756917552

1757017553
<variablelist>
@@ -17633,18 +17616,18 @@ AS film_titles;
1763317616
</varlistentry>
1763417617

1763517618
</variablelist>
17636-
</refsect1>
17619+
</sect5>
1763717620

17638-
<refsect1>
17621+
<sect5>
1763917622
<title>Notes</title>
1764017623
<para>Alternatively, you can create <acronym>JSON</acronym> arrays by using
1764117624
<productname>PostgreSQL</productname>-specific <function>json_agg()</function>/
1764217625
<function>jsonb_agg()</function> functions.
1764317626
See <xref linkend="functions-aggregate"/> for details.
1764417627
</para>
17645-
</refsect1>
17628+
</sect5>
1764617629

17647-
<refsect1>
17630+
<sect5>
1764817631
<title>Examples</title>
1764917632
<para>
1765017633
Construct an array of film titles sorted in alphabetical order:
@@ -17660,8 +17643,8 @@ FROM films AS f;
1766017643
["48 Hrs", "Absence of Malice", "Bananas", "Becket", "Bed Knobs and Broomsticks", "Das Boot", "Storia di una donna", "Taxi Driver", "The African Queen", "The King and I", "There's a Girl in my Soup", "The Third Man", "Une Femme est une Femme", "Vertigo", "War and Peace", "West Side Story", "Yojimbo"]
1766117644
(1 row)
1766217645
</screen>
17663-
</refsect1>
17664-
</refentry>
17646+
</sect5>
17647+
</sect4>
1766517648
</sect3>
1766617649

1766717650
<sect3 id="sqljson-common-clauses">

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