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author | drh <> | 2022-01-07 18:09:56 +0000 |
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committer | drh <> | 2022-01-07 18:09:56 +0000 |
commit | 4f3557e4c95b78bc15229afc06799b2bf1ef99dd (patch) | |
tree | 2d547ccb4e4413ef17d255fc6891b70b36b88b25 /doc/json-enhancements.md | |
parent | a3f51d7b3e7cd531e33779bcb7fec8f259c99cc6 (diff) | |
download | sqlite-4f3557e4c95b78bc15229afc06799b2bf1ef99dd.tar.gz sqlite-4f3557e4c95b78bc15229afc06799b2bf1ef99dd.zip |
Notes on the JSON enhancement proposals.
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diff --git a/doc/json-enhancements.md b/doc/json-enhancements.md new file mode 100644 index 000000000..4c226a2c9 --- /dev/null +++ b/doc/json-enhancements.md @@ -0,0 +1,123 @@ +# 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'; +~~~ |