@@ -17758,7 +17758,7 @@ $.* ? (@ like_regex "^\\d+$")
1775817758 <title>Notes</title>
1775917759 <para>
1776017760 Alternatively, you can construct <acronym>JSON</acronym> values simply
17761- using <productname>PostgreSQL</productname>-specific casts to
17761+ using <productname>PostgreSQL</productname>-specific casts to
1776217762 <type>json</type> and <type>jsonb</type> types.
1776317763 </para>
1776417764 </sect5>
@@ -19127,7 +19127,7 @@ FROM my_films;
1912719127SELECT
1912819128 JSON_QUERY(js, '$.favorites[*].kind' ERROR ON ERROR)
1912919129FROM my_films;
19130- ERROR: more than one SQL/JSON item
19130+ ERROR: more than one SQL/JSON item
1913119131</screen>
1913219132
1913319133 <para>
@@ -19175,7 +19175,7 @@ SELECT JSON_QUERY(jsonb '"aaa"', '$' RETURNING text OMIT QUOTES);
1917519175
1917619176<synopsis>
1917719177<replaceable class="parameter">expression</replaceable>
19178- IS <optional> NOT </optional> JSON
19178+ IS <optional> NOT </optional> JSON
1917919179 <optional> { VALUE | SCALAR | ARRAY | OBJECT } </optional>
1918019180 <optional> { WITH | WITHOUT } UNIQUE <optional> KEYS </optional> </optional>
1918119181</synopsis>
@@ -19294,16 +19294,16 @@ SELECT JSON_QUERY(jsonb '"aaa"', '$' RETURNING text OMIT QUOTES);
1929419294 </para>
1929519295 <screen>
1929619296SELECT
19297- js,
19298- js IS JSON "is json",
19297+ js,
19298+ js IS JSON "is json",
1929919299 js IS NOT JSON "is not json",
1930019300 js IS JSON SCALAR "is scalar",
1930119301 js IS JSON OBJECT "is object",
1930219302 js IS JSON ARRAY "is array"
19303- FROM
19303+ FROM
1930419304 (VALUES ('123'), ('"abc"'), ('{"a": "b"}'), ('[1,2]'), ('abc')) foo(js);
1930519305
19306- js | is json | is not json | is scalar | is object | is array
19306+ js | is json | is not json | is scalar | is object | is array
1930719307------------+---------+-------------+-----------+-----------|-------------
1930819308 123 | t | f | t | f | f
1930919309 "abc" | t | f | t | f | f
@@ -19704,7 +19704,7 @@ where <replaceable class="parameter">json_table_column</replaceable> is:
1970419704 <listitem>
1970519705
1970619706 <para>
19707- Use <literal>CROSS JOIN</literal>, so that the output includes
19707+ Use <literal>CROSS JOIN</literal>, so that the output includes
1970819708 a row for every possible combination of rows from the left-hand
1970919709 and the right-hand columns.
1971019710 </para>
@@ -19743,7 +19743,7 @@ where <replaceable class="parameter">json_table_column</replaceable> is:
1974319743 some JSON data about the films and create a view that
1974419744 distributes the film genre, title, and director between separate columns:
1974519745<screen>
19746- SELECT jt.* FROM
19746+ SELECT jt.* FROM
1974719747 my_films,
1974819748 JSON_TABLE ( js, '$.favorites[*]' COLUMNS (
1974919749 id FOR ORDINALITY,
@@ -19864,7 +19864,7 @@ JSON_SERIALIZE (
1986419864 <title>Notes</title>
1986519865 <para>
1986619866 Alternatively, you can construct <acronym>JSON</acronym> values simply
19867- using <productname>PostgreSQL</productname>-specific casts to
19867+ using <productname>PostgreSQL</productname>-specific casts to
1986819868 <type>json</type> and <type>jsonb</type> types.
1986919869 </para>
1987019870 </sect5>
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