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With regard to invalid UTF, SQLite follows a policy of Garbage-In, Garbage-Out (GIGO). If you insert invalid UTF into an SQLite database, then try to query that data, what you get back out might not be exactly what you put in. If you put garbage in, then you may not complain if you get different garbage back out.
For the purposes of this discussion, "invalid UTF" can mean any of the following circumstances:
Invalid surrogate pairs in UTF-16.
Invalid multi-byte sequences in UTF-8.
Using more bytes of UTF-8 than necessary to represent a single code point. (Example: encoding 'A' as the two-byte sequence 0xc1, 0x01 instead of just a single 0x41 byte.)
NUL characters (U+0000) embedded in strings.
Invalid sequences of combining characters.
UTF-8 or UTF-16 bytes sequences that encode numbers that are not defined Unicode characters.
If you insert invalid UTF into an SQLite database, then SQLite makes no guarantees about what text you might get back out. But it does promise that invalid UTF will never cause memory errors (array overruns, reads or writes of uninitialized memory, etc), at least for the built-in processing of SQLite. In other words, invalid UTF will not cause SQLite to crash.
This promise only applies to the core SQLite components, not application-provided extensions, of course. If an application adds new application-defined SQL functions or virtual tables or collating sequences or other extensions, and a database contains invalid UTF, then invalid UTF might get passed into those extensions. If the invalid UTF causes one of those extensions to crash, then that is a problem with the extension, not with SQLite.
SQLite does not try to enforce UTF formatting rules. You can insert invalid UTF into a TEXT field and SQLite will not complain about this. It stores the invalid TEXT as best it can. SQLite sees its role in the world as a storage engine, not a text format validation engine.
SQLite does not promise to always preserve invalid UTF, but it does make an effort. Generally speaking, if you insert invalid UTF into SQLite, you will get the exact same byte sequence back out, as long as you do not ask SQLite to transform the text in any way.
For example, if you insert some UTF-16LE with invalid surrogates into a TEXT column of a table of a database that has PRAGMA encoding=UTF16LE, then later query that column using sqlite3_column_text16(), you will probably get back the same exact invalid UTF-16. But if you insert the same invalid UTF-16LE content in a PRAGMA encoding=UTF8 database, the content must be converted into UTF8 when it is stored, which could cause irreversible changes to the content. Or if you insert that same invalid UTF-16LE content into a PRAGMA encoding=UTF16LE database but then read it out using sqlite3_column_text(), then a UTF16 to UTF8 conversion must occur during the read-out and that conversion might introduce irreversible changes.
Or, suppose you are doing everything using UTF-8 (the most common case). Invalid UTF-8 will normally pass through the database without any change in its byte sequence. However, if you try to transform the invalid UTF-8 with SQL function like substr() or replace() or if you try to do string matching with the LIKE operator, then you might get unexpected results.
So, in other words, SQLite does not actively try to subvert your invalid text. But when you ask SQLite to make transformations of invalid UTF, there are no guarantees that those transformations will be reversible or even sensible.
If a database schema contains names (table names, column names, index names, and so forth) that are invalid UTF, SQLite will continue to operate normally. As far as SQLite is concerned, those names are just byte sequences. SQLite does not care whether they are valid UTF or not.
When generating error messages (using, for example, sqlite3_errmsg()), sometimes SQLite will embedded parts of the database schema into the error message. If those embedded schema elements are invalid UTF, then the resulting error message might also be invalid UTF. Similarly, the output from the PRAGMA integrity_check and similar statements will sometimes embed the names of schema elements. If those schema element names are invalid UTF, then the output of the command will also be invalid UTF.
This page last modified on 2023-12-05 14:43:20 UTC