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, 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 statement
INSERT INTO t1 VALUES(NULL,123);
is logically equivalent to saying:
INSERT INTO t1 VALUES((SELECT max(a) FROM t1)+1,123);
There is a new API 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 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.
} faq { What datatypes does SQLite support? } {See http://www.sqlite.org/datatype3.html.
} faq { SQLite lets me insert a string into a database column of type integer! } {This is a feature, not a bug. SQLite 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 sometimes call type or column affinity.
} faq { Why doesn't SQLite allow me to use '0' and '0.0' as the primary key on two different rows of the same table? } {Your primary key must have 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.
} faq { 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 concurrancy 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.
} faq { Is SQLite threadsafe? } {Yes. Sometimes. 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.
} faq { 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
See limits.html for a full discussion of the limits of SQLite.
} faq { 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.
} faq { 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.
} faq { 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 what make more complex changes 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:
} faq { I deleted a lot of data but the database file did not get any smaller. Is this a bug? } {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;
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.
} faq { 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.
} faq { 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');
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. In SQLite version 3, an SQLITE_SCHEMA error can only occur when using the sqlite3_prepare()/sqlite3_step()/sqlite3_finalize() API to execute SQL, not when using the sqlite3_exec(). This was not the case in version 2.
The most common reason for a prepared statement to become invalid is that the schema of the database was modified after the SQL was prepared (possibly by another process). The other reasons this can happen are:
In all cases, the solution is to recompile the statement from SQL and attempt to execute it again. Because a prepared statement can be invalidated by another process changing the database schema, all code that uses the sqlite3_prepare()/sqlite3_step()/sqlite3_finalize() API should be prepared to handle SQLITE_SCHEMA errors. An example of one approach to this follows:
int rc;
sqlite3_stmt *pStmt;
char zSql[] = "SELECT .....";
do {
/* Compile the statement from SQL. Assume success. */
sqlite3_prepare(pDb, zSql, -1, &pStmt, 0);
while( SQLITE_ROW==sqlite3_step(pStmt) ){
/* Do something with the row of available data */
}
/* Finalize the statement. If an SQLITE_SCHEMA error has
** occured, then the above call to sqlite3_step() will have
** returned SQLITE_ERROR. sqlite3_finalize() will return
** SQLITE_SCHEMA. In this case the loop will execute again.
*/
rc = sqlite3_finalize(pStmt);
} while( rc==SQLITE_SCHEMA );
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.
} # End of questions and answers. ############# puts {($i) [lindex $faq($i) 0]
\n" puts "[lindex $faq($i) 1]\n" } puts {} footer $rcsid