--- /dev/null
+# Proposed Enhancements To JSON Functions
+
+## 1.0 New function json_nextract()
+
+The new function json_nextract() works the same as json_extract() except
+when the input JSON is not well-formed. This is what the routines do
+when the input JSON in the first argument is not well-formed:
+
+ 1. **json_extract()** → raises an error and aborts the query.
+
+ 2. **json_nextract()** with 2 arguments the second argument is
+ exactly `'$'` → work like json_quote() and return the first
+ argument as a JSON quoted string.
+
+ 3. **json_nextract()** otherwise → return NULL.
+
+If the input is known to be JSON, then json_extract() should work just
+fine for all your needs. But sometimes a table might have a column that
+sometimes holds JSON and sometimes holds some other content. Suppose,
+for example, an application started out holding a single phone number for
+each user, but later was enhanced so that the same database file could
+hold a JSON array of phone numbers. The USER table might have some entries
+that are JSON arrays and some entries which are just text strings containing
+phone numbers. The application can use json_nextract() to be robust in
+extracting values from that column.
+
+The feature (2) above is envisioned to be useful for sanitizing table
+content. Suppose a table is populated from dirty CSV, and some of the
+JSON is mis-formatted. You could convert all entries in a table to use
+well-formed JSON using something like this:
+
+> ~~~
+UPDATE data SET jsonData = json_nextract(jsonData,'$');
+~~~
+
+In the query above, well-formed JSON would be unchanged, and mis-formatted
+JSON would be converted into a well-formatted JSON string.
+
+## 2.0 Add the `->` and '->>` operators as aliases for json_extract().
+
+Two new binary operators "`->`" and "`->>`" operators are the same
+as json_nextract() and json_extract(), respectively.
+
+> ~~~
+SELECT '{"a":5,"b":17}' -> '$.a', '[4,1,-6]' ->> '$[0]';
+~~~
+
+Is equivalent to (and generates the same bytecode as):
+
+> ~~~
+SELECT json_nextract('{"a":5,"b":17}','$.a'), json_extract('[4,1,-6]','$[0]');
+~~~
+
+The ->> operator works the same as the ->> operator in MySQL
+and mostly compatible with PostgreSQL (hereafter "PG"). Addition enhancements
+in section 3.0 below are required to bring ->> into compatibility with PG.
+
+The -> operator is mostly compatible with MySQL and PG too. The main
+difference is that in MySQL and PG, the result from -> is not a primitive
+SQL datatype type but rather more JSON. It is unclear how this would ever
+be useful for anything, and so I am unsure why they do this. But that is
+the way it is done in those system.
+
+SQLite strives to be compatible with MySQL and PG with the ->> operator,
+but not with the -> operator.
+
+## 3.0 Abbreviated JSON path specifications for use with -> and ->>
+
+The "->" and "->>" and operators allow abbreviated
+forms of JSON path specs that omit unnecessary $-prefix text. For
+example, the following queries are equivalent:
+
+> ~~~
+SELECT '{"a":17, "b":4.5}' ->> '$.a';
+SELECT '{"a":17, "b":4.5}' ->> 'a';
+~~~
+
+Similarly, these queries mean exactly the same thing:
+
+> ~~~
+SELECT '[17,4.5,"hello",0]' ->> '$[1]';
+SELECT '[17,4.5,"hello",0]' ->> 1;
+~~~
+
+The abbreviated JSON path specs are allowed with the -> and ->> operators
+only. The json_extract() and json_nextract() functions, and all the other
+JSON functions, still use the full path spec and will raise an error if
+the full path spec is not provided.
+
+This enhancement provides compatibility with PG.
+PG does not support JSON path specs on its ->> operator. With PG, the
+right-hand side of ->> must be either an integer (if the left-hand side
+is a JSON array) or a text string which is interpreted as a field name
+(if the left-hand side is a JSON object). So the ->> operator in PG is
+rather limited. With this enhancement, the ->> operator in SQLite
+covers all the functionality of PG, plus a lot more.
+
+MySQL also supports the ->> operator, but it requires a full JSON path
+spec on the right-hand side. SQLite also supports this, so SQLite is
+compatibility with MySQL as well. Note, however, that MySQL and PG
+are incompatible with each other. You can (in theory) write SQL that
+uses the ->> operator that is compatible between SQLite and MySQL,
+or that is compatible between SQLite and PG, but not that is compatible
+with all three.
+
+## 4.0 New json_ntype() SQL function
+
+A new function "json_ntype(JSON)" works like the existing one-argument
+version of the "json_type(JSON)" function, except that json_ntype(JSON)
+returns NULL if the argument is not well-formed JSON, whereas the
+existing json_type() function raises an error in that case.
+
+In other words, "`json_ntype($json)`" is equivalent to
+"`CASE WHEN json_valid($json) THEN json_type($json) END`".
+
+This function is seen as useful for figuring out which rows of a table
+have a JSON type in a column and which do not. For example, to find
+all rows in a table in which the value of the the "phonenumber" column
+contains a JSON array, you could write:
+
+> ~~~
+SELECT * FROM users WHERE json_ntype(phonenumber) IS 'array';
+~~~
-C Reverse\sthe\smeaningn\sof\s->\sand\s->>.\s\s->>\sraises\san\serror\son\sinvalid\sJSON\nbut\s->\sdoes\snot.\s\sThis\sallows\s->>\sto\sbehave\sthe\ssame\sas\sPG\sand\sMySQL.
-D 2022-01-07T17:26:40.622
+C Notes\son\sthe\sJSON\senhancement\sproposals.
+D 2022-01-07T18:09:56.414
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