(1) How do I create an AUTOINCREMENT field.
Short answer: A column declared INTEGER PRIMARY KEY will autoincrement.
Here is the long answer: If you declare a column of a table to be INTEGER PRIMARY KEY, then whenever you insert a NULL into that column of the table, the NULL is automatically converted into an integer which is one greater than the largest value of that column over all other rows in the table, or 1 if the table is empty. (If the largest possible integer key 9223372036854775807 is in use then an unused key value is chosen at random.) For example, suppose you have a table like this:CREATE TABLE t1( a INTEGER PRIMARY KEY, b INTEGER );
With this table, the statementINSERT INTO t1 VALUES(NULL,123);
is logically equivalent to saying:INSERT INTO t1 VALUES((SELECT max(a) FROM t1)+1,123);
There is a function named sqlite3_last_insert_rowid() which will return the integer key for the most recent insert operation.
Note that the integer key is one greater than the largest key that was in the table just prior to the insert. The new key will be unique over all keys currently in the table, but it might overlap with keys that have been previously deleted from the table. To create keys that are unique over the lifetime of the table, add the AUTOINCREMENT keyword to the INTEGER PRIMARY KEY declaration. Then the key chosen will be one more than the largest key that has ever existed in that table. If the largest possible key has previously existed in that table, then the INSERT will fail with an SQLITE_FULL error code.
(2) What datatypes does SQLite support?
SQLite uses dynamic typing. Content can be stored as INTEGER, REAL, TEXT, BLOB, or as NULL.
(3) SQLite lets me insert a string into a database column of type integer!
This is a feature, not a bug. SQLite uses dynamic typing. It does not enforce data type constraints. Any data can be inserted into any column. You can put arbitrary length strings into integer columns, floating point numbers in boolean columns, or dates in character columns. The datatype you assign to a column in the CREATE TABLE command does not restrict what data can be put into that column. Every column is able to hold an arbitrary length string. (There is one exception: Columns of type INTEGER PRIMARY KEY may only hold a 64-bit signed integer. An error will result if you try to put anything other than an integer into an INTEGER PRIMARY KEY column.)
But SQLite does use the declared type of a column as a hint that you prefer values in that format. So, for example, if a column is of type INTEGER and you try to insert a string into that column, SQLite will attempt to convert the string into an integer. If it can, it inserts the integer instead. If not, it inserts the string. This feature is called type affinity.
(4) Why doesn't SQLite allow me to use '0' and '0.0' as the primary key on two different rows of the same table?
This problem occurs when your primary key is a numeric type. Change the datatype of your primary key to TEXT and it should work.
Every row must have a unique primary key. For a column with a numeric type, SQLite thinks that '0' and '0.0' are the same value because they compare equal to one another numerically. (See the previous question.) Hence the values are not unique.
(5) Can multiple applications or multiple instances of the same application access a single database file at the same time?
Multiple processes can have the same database open at the same time. Multiple processes can be doing a SELECT at the same time. But only one process can be making changes to the database at any moment in time, however.
SQLite uses reader/writer locks to control access to the database. (Under Win95/98/ME which lacks support for reader/writer locks, a probabilistic simulation is used instead.) But use caution: this locking mechanism might not work correctly if the database file is kept on an NFS filesystem. This is because fcntl() file locking is broken on many NFS implementations. You should avoid putting SQLite database files on NFS if multiple processes might try to access the file at the same time. On Windows, Microsoft's documentation says that locking may not work under FAT filesystems if you are not running the Share.exe daemon. People who have a lot of experience with Windows tell me that file locking of network files is very buggy and is not dependable. If what they say is true, sharing an SQLite database between two or more Windows machines might cause unexpected problems.
We are aware of no other embedded SQL database engine that supports as much concurrency as SQLite. SQLite allows multiple processes to have the database file open at once, and for multiple processes to read the database at once. When any process wants to write, it must lock the entire database file for the duration of its update. But that normally only takes a few milliseconds. Other processes just wait on the writer to finish then continue about their business. Other embedded SQL database engines typically only allow a single process to connect to the database at once.
However, client/server database engines (such as PostgreSQL, MySQL, or Oracle) usually support a higher level of concurrency and allow multiple processes to be writing to the same database at the same time. This is possible in a client/server database because there is always a single well-controlled server process available to coordinate access. If your application has a need for a lot of concurrency, then you should consider using a client/server database. But experience suggests that most applications need much less concurrency than their designers imagine.
When SQLite tries to access a file that is locked by another process, the default behavior is to return SQLITE_BUSY. You can adjust this behavior from C code using the sqlite3_busy_handler() or sqlite3_busy_timeout() API functions.
(6) Is SQLite threadsafe?
Threads are evil. Avoid them.
SQLite is threadsafe. We make this concession since many users choose to ignore the advice given in the previous paragraph. But in order to be thread-safe, SQLite must be compiled with the SQLITE_THREADSAFE preprocessor macro set to 1. Both the Windows and Linux precompiled binaries in the distribution are compiled this way. If you are unsure if the SQLite library you are linking against is compiled to be threadsafe you can call the sqlite3_threadsafe() interface to find out.
Prior to version 3.3.1, an sqlite3 structure could only be used in the same thread that called sqlite3_open() to create it. You could not open a database in one thread then pass the handle off to another thread for it to use. This was due to limitations (bugs?) in many common threading implementations such as on RedHat9. Specifically, an fcntl() lock created by one thread cannot be removed or modified by a different thread on the troublesome systems. And since SQLite uses fcntl() locks heavily for concurrency control, serious problems arose if you start moving database connections across threads.
The restriction on moving database connections across threads was relaxed somewhat in version 3.3.1. With that and subsequent versions, it is safe to move a connection handle across threads as long as the connection is not holding any fcntl() locks. You can safely assume that no locks are being held if no transaction is pending and all statements have been finalized.
Under Unix, you should not carry an open SQLite database across a fork() system call into the child process. Problems will result if you do.
(7) How do I list all tables/indices contained in an SQLite database
If you are running the sqlite3 command-line access program you can type ".tables" to get a list of all tables. Or you can type ".schema" to see the complete database schema including all tables and indices. Either of these commands can be followed by a LIKE pattern that will restrict the tables that are displayed.
From within a C/C++ program (or a script using Tcl/Ruby/Perl/Python bindings) you can get access to table and index names by doing a SELECT on a special table named "SQLITE_MASTER". Every SQLite database has an SQLITE_MASTER table that defines the schema for the database. The SQLITE_MASTER table looks like this:CREATE TABLE sqlite_master ( type TEXT, name TEXT, tbl_name TEXT, rootpage INTEGER, sql TEXT );
For tables, the type field will always be 'table' and the name field will be the name of the table. So to get a list of all tables in the database, use the following SELECT command:SELECT name FROM sqlite_master WHERE type='table' ORDER BY name;
For indices, type is equal to 'index', name is the name of the index and tbl_name is the name of the table to which the index belongs. For both tables and indices, the sql field is the text of the original CREATE TABLE or CREATE INDEX statement that created the table or index. For automatically created indices (used to implement the PRIMARY KEY or UNIQUE constraints) the sql field is NULL.
The SQLITE_MASTER table is read-only. You cannot change this table using UPDATE, INSERT, or DELETE. The table is automatically updated by CREATE TABLE, CREATE INDEX, DROP TABLE, and DROP INDEX commands.
Temporary tables do not appear in the SQLITE_MASTER table. Temporary tables and their indices and triggers occur in another special table named SQLITE_TEMP_MASTER. SQLITE_TEMP_MASTER works just like SQLITE_MASTER except that it is only visible to the application that created the temporary tables. To get a list of all tables, both permanent and temporary, one can use a command similar to the following:SELECT name FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE type='table' ORDER BY name
(8) Are there any known size limits to SQLite databases?
See limits.html for a full discussion of the limits of SQLite.
(9) What is the maximum size of a VARCHAR in SQLite?
SQLite does not enforce the length of a VARCHAR. You can declare a VARCHAR(10) and SQLite will be happy to let you put 500 characters in it. And it will keep all 500 characters intact - it never truncates.
(10) Does SQLite support a BLOB type?
SQLite versions 3.0 and later allow you to store BLOB data in any column, even columns that are declared to hold some other type.
(11) How do I add or delete columns from an existing table in SQLite.
SQLite has limited ALTER TABLE support that you can use to add a column to the end of a table or to change the name of a table. If you want to make more complex changes in the structure of a table, you will have to recreate the table. You can save existing data to a temporary table, drop the old table, create the new table, then copy the data back in from the temporary table.
For example, suppose you have a table named "t1" with columns names "a", "b", and "c" and that you want to delete column "c" from this table. The following steps illustrate how this could be done:BEGIN TRANSACTION; CREATE TEMPORARY TABLE t1_backup(a,b); INSERT INTO t1_backup SELECT a,b FROM t1; DROP TABLE t1; CREATE TABLE t1(a,b); INSERT INTO t1 SELECT a,b FROM t1_backup; DROP TABLE t1_backup; COMMIT;
(12) I deleted a lot of data but the database file did not get any smaller. Is this a bug?
No. When you delete information from an SQLite database, the unused disk space is added to an internal "free-list" and is reused the next time you insert data. The disk space is not lost. But neither is it returned to the operating system.
If you delete a lot of data and want to shrink the database file, run the VACUUM command. VACUUM will reconstruct the database from scratch. This will leave the database with an empty free-list and a file that is minimal in size. Note, however, that the VACUUM can take some time to run (around a half second per megabyte on the Linux box where SQLite is developed) and it can use up to twice as much temporary disk space as the original file while it is running.
As of SQLite version 3.1, an alternative to using the VACUUM command is auto-vacuum mode, enabled using the auto_vacuum pragma.
(13) Can I use SQLite in my commercial product without paying royalties?
Yes. SQLite is in the public domain. No claim of ownership is made to any part of the code. You can do anything you want with it.
(14) How do I use a string literal that contains an embedded single-quote (') character?
The SQL standard specifies that single-quotes in strings are escaped by putting two single quotes in a row. SQL works like the Pascal programming language in the regard. SQLite follows this standard. Example:INSERT INTO xyz VALUES('5 O''clock');
(15) What is an SQLITE_SCHEMA error, and why am I getting one?
An SQLITE_SCHEMA error is returned when a prepared SQL statement is no longer valid and cannot be executed. When this occurs, the statement must be recompiled from SQL using the sqlite3_prepare() API. An SQLITE_SCHEMA error can only occur when using the sqlite3_prepare(), and sqlite3_step() interfaces to run SQL. You will never receive an SQLITE_SCHEMA error from sqlite3_exec(). Nor will you receive an error if you prepare statements using sqlite3_prepare_v2() instead of sqlite3_prepare().
The sqlite3_prepare_v2() interface creates a prepared statement that will automatically recompile itself if the schema changes. The easiest way to deal with SQLITE_SCHEMA errors is to always use sqlite3_prepare_v2() instead of sqlite3_prepare().
(16) Why does ROUND(9.95,1) return 9.9 instead of 10.0? Shouldn't 9.95 round up?
SQLite uses binary arithmetic and in binary, there is no way to write 9.95 in a finite number of bits. The closest to you can get to 9.95 in a 64-bit IEEE float (which is what SQLite uses) is 9.949999999999999289457264239899814128875732421875. So when you type "9.95", SQLite really understands the number to be the much longer value shown above. And that value rounds down.
This kind of problem comes up all the time when dealing with floating point binary numbers. The general rule to remember is that most fractional numbers that have a finite representation in decimal (a.k.a "base-10") do not have a finite representation in binary (a.k.a "base-2"). And so they are approximated using the closest binary number available. That approximation is usually very close, but it will be slightly off and in some cases can cause your results to be a little different from what you might expect.
(17) I get hundreds of compiler warnings when I compile SQLite. Isn't this a problem? Doesn't it indicate poor code quality?
Quality assurance in SQLite is done using full-coverage testing, not by compiler warnings or other static code analysis tools. In other words, we verify that SQLite actually gets the correct answer, not that it merely satisfies stylistic constraints. Most of the SQLite code base is devoted purely to testing. The SQLite test suite runs tens of thousands of separate test cases and many of those test cases are parameterized so that hundreds of millions of tests involving billions of SQL statements are run and evaluated for correctness prior to every release. The developers use code coverage tools to verify that all paths through the code are tested. Whenever a bug is found in SQLite, new test cases are written to exhibit the bug so that the bug cannot recur undetected in the future.
During testing, the SQLite library is compiled with special instrumentation that allows the test scripts to simulate a wide variety of failures in order to verify that SQLite recovers correctly. Memory allocation is carefully tracked and no memory leaks occur, even following memory allocation failures. A custom VFS layer is used to simulate operating system crashes and power failures in order to ensure that transactions are atomic across these events. A mechanism for deliberately injecting I/O errors shows that SQLite is resilient to such malfunctions. (As an experiment, try inducing these kinds of errors on other SQL database engines and see what happens!)
We also run SQLite using Valgrind on Linux and verify that it detects no problems.
Some people say that we should eliminate all warnings because benign warnings mask real warnings that might arise in future changes. This is true enough. But in reply, the developers observe that all warnings have already been fixed in the compilers used for SQLite development (various versions of GCC). Compiler warnings only arise from compilers that the developers do not use on a daily basis (Ex: MSVC).
(18) Case-insensitive matching of Unicode characters does not work.
The default configuration of SQLite only supports case-insensitive comparisons of ASCII characters. The reason for this is that doing full Unicode case-insensitive comparisons and case conversions requires tables and logic that would nearly double the size of the SQLite library. The SQLite developers reason that any application that needs full Unicode case support probably already has the necessary tables and functions and so SQLite should not take up space to duplicate this ability.
Instead of providing full Unicode case support by default, SQLite provides the ability to link against external Unicode comparison and conversion routines. The application can overload the built-in NOCASE collating sequence (using sqlite3_create_collation()) and the built-in like(), upper(), and lower() functions (using sqlite3_create_function()). The SQLite source code includes an "ICU" extension that does these overloads. Or, developers can write their own overloads based on their own Unicode-aware comparison routines already contained within their project.
(19) INSERT is really slow - I can only do few dozen INSERTs per second
Actually, SQLite will easily do 50,000 or more INSERT statements per second on an average desktop computer. But it will only do a few dozen transactions per second. Transaction speed is limited by the rotational speed of your disk drive. A transaction normally requires two complete rotations of the disk platter, which on a 7200RPM disk drive limits you to about 60 transactions per second.
Transaction speed is limited by disk drive speed because (by default) SQLite actually waits until the data really is safely stored on the disk surface before the transaction is complete. That way, if you suddenly lose power or if your OS crashes, your data is still safe. For details, read about atomic commit in SQLite..
By default, each INSERT statement is its own transaction. But if you surround multiple INSERT statements with BEGIN...COMMIT then all the inserts are grouped into a single transaction. The time needed to commit the transaction is amortized over all the enclosed insert statements and so the time per insert statement is greatly reduced.
Another option is to run PRAGMA synchronous=OFF. This command will cause SQLite to not wait on data to reach the disk surface, which will make write operations appear to be much faster. But if you lose power in the middle of a transaction, your database file might go corrupt.
(20) I accidentally deleted some important information from my SQLite database. How can I recover it?
If you have a backup copy of your database file, recover the information from your backup.
If you do not have a backup, recovery is very difficult. You might be able to find partial string data in a binary dump of the raw database file. Recovering numeric data might also be possible given special tools, though to our knowledge no such tools exist. SQLite is sometimes compiled with the SQLITE_SECURE_DELETE option which overwrites all deleted content with zeros. If that is the case then recovery is clearly impossible. Recovery is also impossible if you have run VACUUM since the data was deleted. If SQLITE_SECURE_DELETE is not used and VACUUM has not been run, then some of the deleted content might still be in the database file, in areas marked for reuse. But, again, there exist no procedures or tools that we know of to help you recover that data.
(21) What is an SQLITE_CORRUPT error? What does it mean for the database to be "malformed"? Why am I getting this error?
An SQLITE_CORRUPT error is returned when SQLite detects an error in the structure, format, or other control elements of the database file.
SQLite does not corrupt database files, except in the case of very rare bugs (see DatabaseCorruption) and even then the bugs are normally difficult to reproduce. Even if your application crashes in the middle of an update, your database is safe. The database is safe even if your OS crashes or takes a power loss. The crash-resistance of SQLite has been extensively studied and tested and is attested by years of real-world experience by millions of users.
That said, there are a number of things that external programs or bugs in your hardware or OS can do to corrupt a database file. Details can be found in the discussions on the atomic commit and locking support in SQLite as well as in the mailing list archives.
Your can use PRAGMA integrity_check to do a thorough but time intensive test of the database integrity.
Your can use PRAGMA quick_check to do a faster but less thorough test of the database integrity.
Depending how badly your database is corrupted, you may be able to recover some of the data by using the CLI to dump the schema and contents to a file and then recreate. Unfortunately, once humpty-dumpty falls off the wall, it is generally not possible to put him back together again.
(22) Does SQLite support foreign keys?
As of version 3.6.19, SQLite supports foreign key constraints.
Prior versions of SQLite parsed foreign key constraints, but did not enforce them. The equivalent functionality could be implemented using SQL triggers. Versions 3.6.12 and later of the SQLite shell tool provided the ".genfkey" command to generate such triggers automatically. The readme for the genfkey utility contains more information.
(23) I get a compiler error if I use the SQLITE_OMIT_... compile-time options when building SQLite.
The SQLITE_OMIT_... compile-time options only work when building from canonical source files. They do not work when you build from the SQLite amalgamation or from the pre-processed source files.
(24) My WHERE clause expression column1="column1" does not work. It causes every row of the table to be returned, not just the rows where column1 has the value "column1".
Use single-quotes, not double-quotes, around string literals in SQL. This is what the SQL standard requires. Your WHERE clause expression should read: column1='column1'
SQL uses double-quotes around identifiers (column or table names) that contains special characters or which are keywords. So double-quotes are a way of escaping identifier names. Hence, when you say column1="column1" that is equivalent to column1=column1 which is obviously always true.
(25) How are the syntax diagrams (a.k.a. "railroad" diagrams) for SQLite generated?
The process is explained at http://wiki.tcl.tk/21708.
(26) The SQL standard requires that a UNIQUE constraint be enforced even if one or more of the columns in the constraint are NULL, but SQLite does not do this. Isn't that a bug?
Perhaps you are referring to the following statement from SQL92:A unique constraint is satisfied if and only if no two rows in a table have the same non-null values in the unique columns.That statement is ambiguous, having at least two possible interpretations:
SQLite follows interpretation (1), as does PostgreSQL, MySQL, Oracle, and Firebird. It is true that Informix and Microsoft SQL Server use interpretation (2), however we the SQLite developers hold that interpretation (1) is the most natural reading of the requirement and we also want to maximize compatibility with other SQL database engines, and most other database engines also go with (1), so that is what SQLite does.
- A unique constraint is satisfied if and only if no two rows in a table have the same values and have non-null values in the unique columns.
- A unique constraint is satisfied if and only if no two rows in a table have the same values in the subset of unique columns that are not null.
(27) What is the Export Control Classification Number (ECCN) for SQLite?
After careful review of the Commerce Control List (CCL), we are convinced that the core public-domain SQLite source code is not described by any ECCN, hence the ECCN should be reported as EAR99.
The above is true for the core public-domain SQLite. If you extend SQLite by adding new code, or if you statically link SQLite with your application, that might change the ECCN in your particular case.