Ключевые слова:sqlite, sql, howto, database, (найти похожие документы)
From: Mike Chirico <mchirico@users.sourceforge.net.>
Newsgroups: http://www.linuxgazette.com
Date: Mon, 20 Apr 2005 18:21:07 +0000 (UTC)
Subject: Руководство по SQLite (eng)
Оригинал: http://www.linuxgazette.com/node/view/9663
SQLite Tutorial
Copyright (c) 2004 by Mike Chirico mchirico@users.sourceforge.net.
This material may be distributed only subject to the terms and
conditions set forth in the Open Publication License (the latest
version is presently available at http://www.opencontent.org/openpub).
This article explores the power and simplicity of sqlite3, first by
starting with common commands and triggers, then the attach statement
with the union operation is introduced in a way that allows multiple
tables, in separate databases, to be combined as one virtual table,
without the overhead of copying or moving data. Next, the simple sign
function and the amazingly powerful trick of using this function in
SQL select statements to solve complex queries with a single pass
through the data is demonstrated, after making a brief mathematical
case for how the sign function defines the absolute value and IF
conditions.
Although the sign function currently does not exist in sqlite3, it is
very easy to create in the "/src/func.c" file so that this function
will be permanently available to all sqlite applications. Normally,
user functions are created in C, Perl, or C++ which is also documented
in this article. sqlite3 has the ability to store "blob", binary data.
The sample program in the download "eatblob.c" reads a binary file of
any size into memory and stores the data into a user specified field.
All examples can be found in sqlite_examples.tar.gz, and I would
encourage you to download these examples as you read through this
document (http://prdownloads.sourceforge.net/souptonuts/sqlite_examples.tar.gz?download).
The homepage for sqlite3 is http://www.sqlite.org and the source for
sqlite3 can be downloaded at http://www.sqlite.org/download.htm . This
tutorial was done with the source version 3.0.8
Getting Started - Common Commands
To create a database file, run the command "sqlite3" followed by the
database name. For example, to create the database "test.db" run the
sqlite3 command as follows:
$ sqlite3 test.db
SQLite version 3.0.8
Enter ".help" for instructions
sqlite> .quit
$
The database file test.db will be created, if it does not already
exist. Running this command will leave you in the sqlite3 environment.
There are 3 ways to safely exit this environment (.q, .quit, or
.exit).
You do not have to enter the sqlite3 interactive environent. Instead,
you could perform all commands at the shell prompt, which is ideal
when running bash scripts and comands in an ssh string. Below is an
example of how you would create a simple table from the command
prompt.
$ sqlite3 test.db "create table t1 (t1key INTEGER
PRIMARY KEY,data TEXT,num double,timeEnter DATE);"
After table t1 has been created, data can be inserted as follows:
$ sqlite3 test.db "insert into t1 (data,num) values ('This is sample data',3);"
$ sqlite3 test.db "insert into t1 (data,num) values ('More sample data',6);"
$ sqlite3 test.db "insert into t1 (data,num) values ('And a little more',9);"
As expected, doing a select returns the data in the table. Note, the
primary key "t1key" auto increments; however, there are no default
values for timeEnter. To populate the timeEnter field with the time,
an update trigger is needed. An important note on the PRIMARY KET: do
not use the abbreviated "INT" when working with the PRIMARY KEY. You
must use "INTEGER", for the primary key to update.
$ sqlite3 test.db "select * from t1 limit 2";
1|This is sample data|3|
2|More sample data|6|
In the statement above, the limit clause is used and only 2 rows are
displayed. For a quick reference of SQL syntax statements avaliable
with SQLite, see the link [20]syntax. There is an offset option to the
limit clause. For instance, the third row is equal to the following:
"limit 1 offset 2".
$ sqlite3 test.db "select * from t1 order by t1key limit 1 offset 2";
3|And a little more|9|
The ".table" command shows the table names. For a more comprehensive
list of tables, triggers, and indexes created in the database, query
the master table "sqlite_master" as shown below.
$ sqlite3 test.db ".table"
t1
$ sqlite3 test.db "select * from sqlite_master"
table|t1|t1|2|CREATE TABLE t1 (t1key INTEGER
PRIMARY KEY,data TEXT,num double,timeEnter DATE)
All SQL information and data inserted into a database can be extracted
with the ".dump" command.
$ sqlite3 test.db ".dump"
BEGIN TRANSACTION;
CREATE TABLE t1 (t1key INTEGER
PRIMARY KEY,data TEXT,num double,timeEnter DATE);
INSERT INTO "t1" VALUES(1, 'This is sample data', 3, NULL);
INSERT INTO "t1" VALUES(2, 'More sample data', 6, NULL);
INSERT INTO "t1" VALUES(3, 'And a little more', 9, NULL);
COMMIT;
The contents of the ".dump" can be filtered and piped to another
database. Below table t1 is changed to t2 with the sed command, and it
is piped into the test2.db database.
$ sqlite3 test.db ".dump"|sed -e s/t1/t2/|sqlite3 test2.db
Triggers
An insert trigger is created below in the file "trigger1". The
Coordinated Universal Time (UTC) will be entered into the field
"timeEnter", and this trigger will fire after a row has been inserted
into the table t1. Again, this trigger will fire after the row has
been inserted.
-- ********************************************************************
-- Creating a trigger for timeEnter
--Run as follows:
-- $ sqlite3 test.db < trigger1
-- ********************************************************************
CREATE TRIGGER insert_t1_timeEnter AFTER INSERT ON t1
BEGIN
UPDATE t1 SET timeEnter = DATETIME('NOW') WHERE rowid = new.rowid;
END;
-- ********************************************************************
The AFTER specification in ..."insert_t1_timeEnter AFTER..." is
necessary. Without the AFTER keyword, the rowid would not have been
generated. This is a common source of errors with triggers, since
AFTER is NOT the default, so it must be specified. In summary, if your
trigger depends on newly created data, in any of the fields from the
created row, which was the case for us in this example since we need
the rowid, then, the AFTER specification is needed. Otherwise, the
trigger is a BEFORE trigger, and will fire before rowid or other
pertinent data is entered into the field.
Comments are preceeded by "--". If this script was created in the file
"trigger1", you could easily execute this script as follows.
$ sqlite3 test.db < trigger1
Now try entering a new record as before, and you should see the time
in the field timeEnter.
sqlite3 test.db "insert into t1 (data,num) values ('First entry with timeEnter',19);"
Doing a select reveals the following data:
$ sqlite3 test.db "select * from t1";
1|This is sample data|3|
2|More sample data|6|
3|And a little more|9|
4|First entry with timeEnter|19|2004-10-02 15:12:19
If you look at the statement above, the last value has the timeEnter
filled in automatically with Coordinated Universal Time - or (UTC). If
you want localtime, then, use select datetime('now','localtime'). See
the note at the end of this section regarding UTC and localtime.
For examples that follow the table "exam" and the database
"examScript" will be used. The table and trigger are defined below.
Just like the trigger above, UTC time will be used.
-- *******************************************************************
-- examScript: Script for creating exam table
-- Usage:
-- $ sqlite3 examdatabase < examScript
--
-- Note: The trigger insert_exam_timeEnter
--updates timeEnter in exam
-- *******************************************************************
-- *******************************************************************
CREATE TABLE exam (ekey INTEGER PRIMARY KEY,
fn VARCHAR(15),
ln VARCHAR(30),
exam INTEGER,
score DOUBLE,
timeEnter DATE);
CREATE TRIGGER insert_exam_timeEnter AFTER INSERT ON exam
BEGIN
UPDATE exam SET timeEnter = DATETIME('NOW')
WHERE rowid = new.rowid;
END;
-- *******************************************************************
-- *******************************************************************
After the script file, it can be executed, by redirecting the contents
of the script file into the sqlite3 command, followed by the database
name. See the example below:
$ sqlite3 examdatabase < examScript
$ sqlite3 examdatabase "insert into exam (ln,fn,exam,score)
values ('Anderson','Bob',1,75)"
$ sqlite3 examdatabase "select * from exam"
1|Bob|Anderson|1|75|2004-10-02 15:25:00
And, as a check, the PRIMARY KEY and current UTC time have been
updated correctly, as seen from the above example.
Logging All Inserts, Updates, and Deletes
The script below creates the table examlog and three triggers
update_examlog, insert_examlog, and delete_examlog to record update,
inserts, and deletes made to the exam table. In other words, anytime a
change is made to the exam table, the changes will be recorded in the
examlog table, including the old value and the new value. By the way
if you are familiar with MySQL, the functionality of this log table is
similiar to MySQL's binlog.
-- *******************************************************************
-- examLog: Script for creating log table and related triggers
-- Usage:
-- $ sqlite3 examdatabase < examLOG
--
--
-- *******************************************************************
-- *******************************************************************
CREATE TABLE examlog (lkey INTEGER PRIMARY KEY,
ekey INTEGER,
ekeyOLD INTEGER,
fnNEW VARCHAR(15),
fnOLD VARCHAR(15),
lnNEW VARCHAR(30),
lnOLD VARCHAR(30),
examNEW INTEGER,
examOLD INTEGER,
scoreNEW DOUBLE,
scoreOLD DOUBLE,
sqlAction VARCHAR(15),
examtimeEnter DATE,
examtimeUpdate DATE,
timeEnter DATE);
-- Create an update trigger
CREATE TRIGGER update_examlog AFTER UPDATE ON exam
BEGIN
INSERT INTO examlog (ekey,ekeyOLD,fnOLD,fnNEW,lnOLD,
lnNEW,examOLD,examNEW,scoreOLD,
scoreNEW,sqlAction,examtimeEnter,
examtimeUpdate,timeEnter)
values (new.ekey,old.ekey,old.fn,new.fn,old.ln,
new.ln,old.exam, new.exam,old.score,
new.score, 'UPDATE',old.timeEnter,
DATETIME('NOW'),DATETIME('NOW') );
END;
--
-- Also create an insert trigger
-- NOTE AFTER keyword ------v
CREATE TRIGGER insert_examlog AFTER INSERT ON exam
BEGIN
INSERT INTO examlog (ekey,fnNEW,lnNEW,examNEW,scoreNEW,
sqlAction,examtimeEnter,timeEnter)
values (new.ekey,new.fn,new.ln,new.exam,new.score,
'INSERT',new.timeEnter,DATETIME('NOW') );
END;
-- Also create a DELETE trigger
CREATE TRIGGER delete_examlog DELETE ON exam
BEGIN
INSERT INTO examlog (ekey,fnOLD,lnNEW,examOLD,scoreOLD,
sqlAction,timeEnter)
values (old.ekey,old.fn,old.ln,old.exam,old.score,
'DELETE',DATETIME('NOW') );
END;
-- *******************************************************************
-- *******************************************************************
Since the script above has been created in the file examLOG, you can
execute the commands in sqlite3 as shown below. Also shown below is a
record insert, and an update to test these newly created triggers.
$ sqlite3 examdatabase < examLOG
$ sqlite3 examdatabase "insert into exam
(ln,fn,exam,score)
values
('Anderson','Bob',2,80)"
$ sqlite3 examdatabase "update exam set score=82
where
ln='Anderson' and fn='Bob' and exam=2"
Now, by doing the select statement below, you will see that examlog
contains an entry for the insert statement, plus two updates. Although
we only did one update on the command line, the trigger
"insert_exam_timeEnter" performed an update for the field timeEnter --
this was the trigger defined in "examScript". On the second update we
can see that the score has been changed. The trigger is working. Any
change made to the table, whether by user interaction or another
trigger is recorded in the examlog.
$ sqlite3 examdatabase "select * from examlog"
1|2||Bob||Anderson||2||80||INSERT|||2004-10-02 15:33:16
2|2|2|Bob|Bob|Anderson|Anderson|2|2|80|80|UPDATE||2004-10-02 15:33:16|2004-10-02 15:33:16
3|2|2|Bob|Bob|Anderson|Anderson|2|2|82|80|UPDATE|2004-10-02 15:33:16|2004-10-02 15:33:26|2004-10-02 15:33:26
Again, pay particular attention to the AFTER keyword. Remember by
default triggers are BEFORE, so you must specify AFTER to insure that
all new values will be available, if your trigger needs to work with
any new values.
UTC and Localtime
Note, select DATETIME('NOW') returns UTC or Coordinated Universal
Time. But select datetime('now','localtime') returns the current time.
sqlite> select datetime('now');
2004-10-18 23:32:34
sqlite> select datetime('now','localtime');
2004-10-18 19:32:46
There is an advantage to inserting UTC time like we did with the
triggers above, since UTC can easily be converted to localtime after
UTC has been entered in the table. See the command below. By inserting
UTC, you avoid problems when working with multiple databases that may
not share the same timezone and or dst settings. By starting with UTC,
you can always obtain the localtime.
CONVERTING TO LOCALTIME:
sqlite> select datetime(timeEnter,'localtime') from exam;
Other Date and Time Commands
If you look in the sqlite3 source file "./src/date.c", you will see
that datetime takes other options. For example, to get the localtime,
plus 3.5 seconds, plus 10 minutes, you would execute the following
command:
sqlite> select datetime('now','localtime','+3.5 seconds','+10 minutes');
2004-11-07 15:42:26
It is also possible to get the weekday where 0 = Sunday, 1 = Monday, 2
= Tuesday ... 6 = Saturday.
sqlite> select datetime('now','localtime','+3.5 seconds','weekday 2');
2004-11-09 15:36:51
The complete list of options, or modifiers as they are called in this
file, are as follows:
NNN days
NNN hours
NNN minutes
NNN.NNNN seconds
NNN months
NNN years
start of month
start of year
start of week
start of day
weekday N
unixepoch
localtime
utc
In addition, there is the "strftime" function, which will take a
timestring, and convert it to the specified format, with the
modifications. Here is the format for this function:
strftime( FORMAT, TIMESTRING, MOD, MOD, ...)
**
Return a string described by FORMAT. Conversions as follows:
**
%d day of month
%f ** fractional seconds SS.SSS
%H hour 00-24
%j day of year 000-366
%J ** Julian day number
%m month 01-12
%M minute 00-59
%s seconds since 1970-01-01
%S seconds 00-59
%w day of week 0-6 sunday==0
%W week of year 00-53
%Y year 0000-9999
Below is an example.
sqlite> select strftime("%m-%d-%Y %H:%M:%S %s %w %W",'now','localtime');
11-07-2004 16:23:15 1099844595 0 44
ATTACH Command
Build a Virtual Table that Spans Multiple Tables on Separate Databases.
This is a very powerful concept. As you have seen, sqlite3 works with
a local database file. And within this local database multiple tables
can be created. This section will examine a technique to combine
multiple tables, with the same field layout that exist in separate
database files, into a single virtual table. On this single virtual
table, you will see how selects can be performed. The name "virtual
table" will be used. There is no overhead in copying or moving data.
No data gets copied or moved, period. This is the ideal situation,
when working with very large tables. Suppose the computers on your
network record port scans from snort to a local sqlite3 file. Then,
provided you have access to the individual database files, via NFS
mount or samba mount, you could virtually combine the tables from all
your computers into one virtual table to perform database queries in
an effort to identify global patterns of attack against your network.
This example will be done with the examdatabase, since we still have
the scripts that were used for the exam table. We can easily create a
new database "examdatabase2", along with a new exam table, by
executing the following script from the bash shell as follows:
$ sqlite3 examdatabase2 < examScript
$ sqlite3 examdatabase2 < examLOG
$ sqlite3 examdatabase2 "insert into exam (ln,fn,exam,score) values ('Carter','Sue',1,89);
insert into exam (ln,fn,exam,score) values ('Carter','Sue',2,100);"
$ sqlite3 examdatabase2 "select * from exam"
1|Sue|Carter|1|89|2004-10-02 16:04:12
2|Sue|Carter|2|100|2004-10-02 16:04:12
To combine the two database files, use the attach command. The alias
for examdatabase will be e1, and the alias for examdatabase2 will be
e2. The shorter names will come in handy when the tables are joined
with the union clause. Yes, that is how tables are combined: "union"
which is a standard SQL command.
After the "attach" database command is performed, the ".database"
command can be used to show the location of the individual database
files. The location follows the alias. See the example below.
$ sqlite3
SQLite version 3.0.8
Enter ".help" for instructions
sqlite> attach database 'examdatabase' as e1;
sqlite> attach database 'examdatabase2' as e2;
sqlite> .database
seq name file
--- --------------- ----------------------------------------------------------
0 main
2 e1/work/cpearls/src/posted_on_sf/sqlite_examples/sqlite_exam
3 e2/work/cpearls/src/posted_on_sf/sqlite_examples/sqlite_exam
sqlite>
To select all data from both tables, perform the union of two select
statements as demonstrated below. Note by add 'e1' and 'e2' to the
respective selects, it is possible to identify which database the
returned records are coming from.
sqlite> select 'e1',* from e1.exam union select 'e2',* from e2.exam;
e1|1|Bob|Anderson|1|75|2004-10-02 15:25:00
e1|2|Bob|Anderson|2|82|2004-10-02 15:33:16
e2|1|Sue|Carter|1|89|2004-10-02 16:04:12
e2|2|Sue|Carter|2|100|2004-10-02 16:04:12
To summarize a query was performed on two tables that resided in
separate databases. This union created the virtual table. The select
syntax is as follows:
SELECT [expression] FROM [expression table]
For the table option we have used the complete string "(select 'e1' as
db,* from e1.exam union select 'e2' as db,* from e2.exam)", which is
our virtual table.
Here is a query example performed on this virtual table. Suppose you
wanted the maximum score by exam across databases.
sqlite> select exam,max(score) from
(select 'e1' as db,* from e1.exam union select 'e2' as db,* from e2.exam)
group by exam;
1|89
2|100
No problem. Above you got the maximum score for each exam, but who
does it below to? Find the ln and fn. But be careful, if you add "ln"
and "fn" on the first part of the select, you will get the WRONG
answer.
sqlite> select exam,max(score),ln,fn from
(select 'e1' as db,* from e1.exam union select 'e2' as db,* from e2.exam)
group by exam;
THIS IS INCORRECT it should be Carter|Sue **
1|89|Anderson|Bob
2|100|Anderson|Bob
The above answer is incorrect. "Anderson", "Bob" happens to be the
name that dropped down in this select statement. Again, it is not the
correct answer. If by chance you got the correct answer doing this
query, then, it is because you entered the names in a different order.
If that is the case, perform the query below which takes the
min(score) - will will get an error on one of these examples.
Here the min(score) is queried. By chance, because of the order data
was entered into this table, the correct answer is displayed.
sqlite> select exam,min(score),ln,fn from
(select 'e1' as db,* from e1.exam union select 'e2' as db,* from e2.exam)
group by exam;
correct answer -- just chance **
1|75|Anderson|Bob
2|82|Anderson|Bob
Clearly there needs to be a better way of finding out who got the
maximum and minimum scores for each exam. By the way, here is the
CORRECT sql statement that will always give you the correct answer.
sqlite> select db,ln,fn,exam,score from
(select 'e1' as db,* from e1.exam union select 'e2' as db,* from e2.exam)
where
(
score=(
select max(score) from
(select 'e1' as db,* from e1.exam union select 'e2' as db,* from e2.exam)
where exam=1
)
and exam = 1
)
OR
(
score=(
select max(score) from
(select 'e1' as db,* from e1.exam union select 'e2' as db,* from e2.exam)
where exam=2
)
and exam = 2
) ;
e2|Carter|Sue|1|89
e2|Carter|Sue|2|100
Or it can be done as two independent select statements as follows:
sqlite> select db,ln,fn,exam,score from
(select 'e1' as db,* from e1.exam union select 'e2' as db,* from e2.exam)
where exam=1 order by score desc limit 1;
e2|Carter|Sue|1|89
Here is the second select.
sqlite> select db,ln,fn,exam,score from
(select 'e1' as db,* from e1.exam union select 'e2' as db,* from e2.exam)
where exam=2 order by score desc limit 1;
e2|Carter|Sue|2|100
A Pivot Table
What if you wanted a pivot table where the scores are listed across
the top: exam1,exam2,..examN for each person. For example the results
will look like the following:
fn ln exam1 exam2
--- -------- ----- -----
Bob Anderson 7582
Sue Carter89100
Also, is there a way to display the deltas between exams, to have a
5th column that would show 7 points (82-75) or the delta between exam1
and exam2 and similar data for Sue Carter?
Such power select statements can be done with the sign function. And
unlike the case statement, the sign function can be place in the group
by and having clause. The sign function does not exist in sqlite;
however, that is not a problem, since we can easily create it.
As a side note, you wonder why you should create the sign function.
Instead, why not create an IF or IIF function? The main reason is the
IF statement is not standard on all databases. And, on some databases
where it is standard, MySQL, it was created incorrectly. YES, if you
are a MySQL user take a look at the following Reference
(LONGWINDED TIP 1) for an example of MySQL's incorrect IF
statement, and how the sign function solves this problem.
Power of the Sign Function - A Mathematical Explanation
It may come as a shock, but the problems in the last section, and much
more, can be solved using the sign function. This is just the simple
sign function where sign(-200)=-1,.. sign(-1)=-1, sign(0)=0,
sign(1)=1,.. sign(300)=1. So if the number is > 0 a 1 is returned.
Zero is the only number that returns zero. All negative numbers return
-1. Again, this simple function does not exist in sqlite. But, you can
easily create it, permanently. The next section will focus on the
creation of this function; however, here the mathematical properties
are explained.
The sign function can define the absolute value function abs() as the
value of a number times it's sign. Or sign(x)*(x), abbreviated
sign(x)(x). Here is a more detailed look at this function.
sign(x)(x) = abs(x)
Example, assume x=3
sign(3)(3) = abs(3)
1*3 = 3
Example, assume x=-3
sign(-3)(-3) = abs(-3)
-1*-3 = 3
Example, assume x=0
sign(0)(0) = abs(0)
0*0 = 0
Comparsions can be made with the sign function betwen two variables x
and y. For instance, if sign(x-y) is 1, then, x is greater than y.
sign(x-y) is equal to 1 if x > y
sign(x-y) is equal to 0 if x = y
sign(x-y) is equl to -1 if x < y
Now look closely at the 3 statements below. The sign function starts
to resemble an IF statement, where a 1 is returned if and only if x =
y. Thoroughly understanding the statements below is important, as rest
of the discussion quickly builds from these examples.
IF ( X==Y ) return 1; ELSE return 0;
can be expressed as follows:
1 - abs(sign(x-y)) is equal to 0 if x > y
1 - abs(sign(x-y)) is equal to 1 if x = y
1 - abs(sign(x-y)) is equl to 0 if x < y
It is possible to return a 1 if and only if x < y, otherwise return a
zero.
IF ( X < Y ) return 1; ELSE return 0;
can be expressed as follows:
1-sign(1+sign(x-y)) is equal to 0 if x > y
1-sign(1+sign(x-y)) is equal to 0 if x = y
1-sign(1+sign(x-y)) is equal to 1 if x < y
The last example is known as the delta for x<y, or Delta[x<y]. This
Delta notation will be used instead of writing it out in long form or
using the IF statement. Therefore, the following is a summarized table
of all the Delta functions or comparison operators.
Delta[x=y] = 1 - abs(sign(x-y))
Delta[x!=y] = abs(sign(x-y))
Delta[x<y] = 1-sign(1+sign(x-y))
Delta[x<=y] = sign(1-sign(x-y))
Delta[x>y] = 1-sign(1-sign(x-y))
Delta[x>=y] = sign(1+sign(x-y))
Delta[z=x AND z=y] = sign( Delta[z=x]*Delta[z=y] )
Delta[z=x OR z=y] = sign( Delta[z=x]+Delta[z=y] )
Delta[z>x AND z<y] = sign( Delta[z>x]*Delta[z<y] )
... more can be defined ... but you get the idea
To summarize the following if statement, note the introduction of a
third variable z, below
if( x==y )
return z;
else
return 0;
The above expression, in Delta notation, is the following:
z*Delta[x=y]
Here is an interesting example.
create table logic (value int);
insert into logic (value) values (1);
insert into logic (value) values (0);
insert into logic (value) values (-1);
First take the Cartesian product to show all possible combinations of
x and y.
sqlite> .header on
sqlite> .mode column
sqlite> select x.value,y.value from logic x, logic y;
x.valuey.value
---------- ----------
1 1
1 0
1 -1
0 1
0 0
0 -1
-1 1
-1 0
-1-1
Then after the sign function is created, which we will do in the next
section, using the above table we could examin Delta[x!=y] as follows;
sqlite> .header on
sqlite> .mode column
sqlite> select x.value,y.value,abs(sign(x.value-y.value)) from logic x, logic y;
x.valuey.valueabs(sign(x.value-y.value))
---------- ---------- --------------------------
1 1 0
1 0 1
1-1 1
0 1 1
0 0 0
0-1 1
-1 1 1
-1 0 1
-1-1 0
Note above that every time x is not equal to y,
abs(sign(x.value-y.value)) returns a 1. After the sign function is
created, these example will run. This is extremely powerful. To show
that we have created a condition statement without using the where or
group by statements, consider the following example. The z.value will
only be displayed in the right hand column, only when x.value !=
y.value.
sqlite> select x.value,y.value,z.value,
z.value*abs(sign(x.value-y.value))
from logic x, logic y, logic z;
x.valuey.valuez.valuez.value*abs(sign(x.value-y.value))
---------- ---------- ---------- ----------------------------------
1 1 1 0
1 1 0 0
1 1 -1 0
1 0 1 1
1 0 0 0
1 0 -1-1
1 -1 1 1
1 -1 0 0
1 -1 -1-1
0 1 1 1
0 1 0 0
0 1 -1-1
0 0 1 0
0 0 0 0
0 0 -1 0
0 -1 1 1
0 -1 0 0
0 -1 -1-1
-1 1 1 1
-1 1 0 0
-1 1 -1-1
-1 0 1 1
-1 0 0 0
-1 0 -1-1
-1 -1 1 0
-1 -1 0 0
-1 -1 -1 0
Modifying the Source: Creating a Permanent Sign Function
Sqlite functions are defined in "./src/func.c". In this file the name
of this function will be "signFunc". The user will call this function
in sqlite as sign(n). It will hold only a single variable.
It is helpful to model the sign function after the abs function
"absFunc", since they are very similar. If fact, I would highly
recommend looking at the abs function anytime a new version of sqlite
is released.
You will want to follow these steps. First copy the abs function
"absFunc" and make the following changes:
1. Change function name from absFunc to signFunc
2. The variable iVal will need to be changed. iVal should equal -1 if
sqlite3_value_type(argv[0]) is less than zero. Note this value
here is an integer. Otherwise, if this integer is zero, return
zero. Or if this integer is greater than zero, return 1. All of
this can simply be expressed as follows:
iVal = ( iVal > 0) ? 1 : ( iVal < 0 ) ? -1 : 0;
3. Perform the same steps above for rVal, which is the real value, as
opposed to the integer value above.
rVal = ( rVal > 0) ? 1 : ( rVal < 0 ) ? -1 : 0;
4. Add the following entry in aFuncs[]
{ "sign", 1, 0, SQLITE_UTF8, 0, signFunc },
5. Recompile sqlite from the main directory and install.
$ ./configure
$ make && make install
For a closer look, below is the section that changed. Look here for
the complete file func.c .
From ./src/func.c
... cut ...
/*
Using the New Sign Function
Now, back to the problem of creating a pivot table for displaying exam
scores in spreadsheet like format. First, more data is is needed. By
the way, if have not added any data, the following script
enterExamdata will create the necessary tables and insert the
data.
$ sqlite3 examdatabase "insert into exam (ln,fn,exam,score) values ('Anderson','Bob',3,92)"
$ sqlite3 examdatabase "insert into exam (ln,fn,exam,score) values ('Anderson','Bob',4,95)"
$ sqlite3 examdatabase "insert into exam (ln,fn,exam,score) values ('Stoppard','Tom',1,88)"
$ sqlite3 examdatabase "insert into exam (ln,fn,exam,score) values ('Stoppard','Tom',2,90)"
$ sqlite3 examdatabase "insert into exam (ln,fn,exam,score) values ('Stoppard','Tom',3,92)"
$ sqlite3 examdatabase "insert into exam (ln,fn,exam,score) values ('Stoppard','Tom',4,95)"
$ sqlite3 examdatabase2 "insert into exam (ln,fn,exam,score) values ('Carter','Sue',3,99)"
$ sqlite3 examdatabase2 "insert into exam (ln,fn,exam,score) values ('Carter','Sue',4,95)"
Below is the select statement for generating a pivot table for 4 exams
on the table exams.
select ln,fn,
sum(score*(1-abs(sign(exam-1)))) as exam1,
sum(score*(1-abs(sign(exam-2)))) as exam2,
sum(score*(1-abs(sign(exam-3)))) as exam3,
sum(score*(1-abs(sign(exam-4)))) as exam4
from exam group by ln,fn;
Shown below is the select statement, like the statement above;
however, it works on the virtual table, or the combined exam tables
from database examdatabase and examdatabase2.
$ sqlite3
SQLite version 3.0.8
Enter ".help" for instructions
sqlite> attach database examdatabase as e1;
sqlite> attach database examdatabase2 as e2;
sqlite> .database
seq name file
--- --------------- ----------------------------------------------------------
0 main
2 e1/work/cpearls/src/posted_on_sf/sqlite_examples/sqlite_exam
3 e2/work/cpearls/src/posted_on_sf/sqlite_examples/sqlite_exam
sqlite> .header on
sqlite> .mode column
sqlite> select ln,fn,sum(score*(1-abs(sign(exam-1)))) as exam1,
sum(score*(1-abs(sign(exam-2)))) as exam2,
sum(score*(1-abs(sign(exam-3)))) as exam3,
sum(score*(1-abs(sign(exam-4)))) as exam4
from (select 'e1' as db,* from e1.exam union select 'e2' as db,* from e2.exam)
group by ln,fn;
lnfnexam1 exam2 exam3 exam4
---------- ---------- ---------- ---------- ---------- ----------
Anderson Bob 75829295
Carter Sue 89100 9995
Stoppard Tom 88909295
sqlite>
Taking a closer look at the results, it's very easy to see that
Anderson, Bob got a 75 on the first exam, 82 on the second, 92 on the
third, and 95 on the forth. Likewise, Carer received 88,90,92 and 95
respectively.
lnfnexam1 exam2 exam3 exam4
---------- ---------- ---------- ---------- ---------- ----------
Anderson Bob 75829295
Carter Sue 89100 9995
Stoppard Tom 88909295
Now back to the question of finding the top scores for each exam in
one select statement. That is, find the top scores for the combined
tables. First, a look at all the data.
$ sqlite3
SQLite version 3.0.8
Enter ".help" for instructions
sqlite> attach database examdatabase as e1;
sqlite> attach database examdatabase2 as e2;
sqlite> .header on
sqlite> .mode column
sqlite> select 'e1' as db,* from e1.exam union select 'e2' as db,* from e2.exam;
dbekey fnlnexam score timeEnter
---------- ---------- ---------- ---------- ---------- ---------- ------------
e11 Bob Anderson 1 752004-10-17 22:01:42
e12 Bob Anderson 2 822004-10-17 22:02:19
e13 Bob Anderson 3 922004-10-17 22:05:04
e14 Bob Anderson 4 952004-10-17 22:05:16
e15 Tom Stoppard 1 882004-10-17 22:05:24
e16 Tom Stoppard 2 902004-10-17 22:05:31
e17 Tom Stoppard 3 922004-10-17 22:05:40
e18 Tom Stoppard 4 952004-10-17 22:05:50
e21 Sue Carter 1 892004-10-17 22:03:10
e22 Sue Carter 2 100 2004-10-17 22:03:10
e23 Sue Carter 3 992004-10-17 22:05:57
e24 Sue Carter 4 952004-10-17 22:06:05
sqlite>
Below, continuing with the same attached setup, is an example of
horizontal averages and horizontal maximum values.
sqlite> .headers on
sqlite> .mode column
sqlite> select db,ln as lastname,fn as first,
sum(score*(1-abs(sign(exam-1)))) as exam1,
sum(score*(1-abs(sign(exam-2)))) as exam2,
sum(score*(1-abs(sign(exam-3)))) as exam3,
sum(score*(1-abs(sign(exam-4)))) as exam4,
avg(score) as avg, max(score) as max
from (select 'e1' as db,* from e1.exam union select 'e2' as db,* from e2.exam)
group by ln,fn,db ;
dblastname first exam1 exam2 exam3 exam4 avg max
---------- ---------- ---------- ---------- ---------- ---------- ---------- --
e1Anderson Bob 758292958695
e2Carter Sue 89100 999595.75 100
e1Stoppard Tom 8890929591.25 95
Try finding the delta's, or the differences between each exam score.
For hints on this, reference the end of the following ( [27]article )
in the LONGWINDED TIPS section.
Pivot Table "Spreadsheet Format" to Normalized Data
Consider the reverse: suppose you had a pivot table, or the data in
spreadsheet like format, and you wanted a normalized table of exams.
For this example the table nonormal is needed. This table is defined
and created as follows:
SQLite version 3.0.8
Enter ".help" for instructions
sqlite> attach database 'examdatabase' as e1;
sqlite> attach database 'examdatabase2' as e2;
sqlite> create table e1.nonormal as
select ln,fn,
sum(score*(1-abs(sign(exam-1)))) as exam1,
sum(score*(1-abs(sign(exam-2)))) as exam2,
sum(score*(1-abs(sign(exam-3)))) as exam3,
sum(score*(1-abs(sign(exam-4)))) as exam4
from (select 'e1' as db,* from e1.exam union select 'e2' as db,* from e2.exam)
group by ln,fn;
sqlite> .header on
sqlite> .mode column
sqlite> select * from e1.nonormal;
lnfnexam1 exam2 exam3 exam4
---------- ---------- ---------- ---------- ---------- ----------
Anderson Bob 75829295
Carter Sue 89100 9995
Stoppard Tom 88909295
Above the nonormal table was created in the examdatabase, since "e1."
was given before the name. Again, the objective here is to go
back-wards and create a normalized table from the pivot table: a table
that will list all exam scores in one field, and all the exam numbers
in another, without having a separate field for each exam. In
addition, the goal is to do all this in one select statement without
looping through the data. First it is necessary to create a number
table "enum", and it must have the field "e" from 1..N where N is the
number of exams, which is 4 in this case.
sqlite> CREATE TABLE enum (e int);
sqlite> INSERT INTO "enum" VALUES(1);
sqlite> INSERT INTO "enum" VALUES(2);
sqlite> INSERT INTO "enum" VALUES(3);
sqlite> INSERT INTO "enum" VALUES(4);
The coalesce function is used in an interesting way for this example.
sqlite> .mode list
sqlite> select n.ln,n.fn,
1*(1-abs(sign(e.e-1)))+
2*(1-abs(sign(e.e-2)))+
3*(1-abs(sign(e.e-3)))+
4*(1-abs(sign(e.e-4))),
coalesce(0/(e.e-1),n.exam1)+
coalesce(0/(e.e-2),n.exam2)+
coalesce(0/(e.e-3),n.exam3)+
coalesce(0/(e.e-4),n.exam4)
from enum as e,e1.nonormal as n;
Anderson|Bob|1|75
Carter|Sue|1|89
Stoppard|Tom|1|88
Anderson|Bob|2|82
Carter|Sue|2|100
Stoppard|Tom|2|90
Anderson|Bob|3|92
Carter|Sue|3|99
Stoppard|Tom|3|92
Anderson|Bob|4|95
Carter|Sue|4|95
For more examples see the following article:
http://prdownloads.sourceforge.net/souptonuts/Solving_Complex_SQL_Problems.txt?downloadMax Min Problems
Assume you have the following table of names, ages, and salaries, find
the age, name and salary, of youngest person making the over all
highest salary. Or, first find the highest salary, then, from this
group select the youngest person.
create table salary (name varchar(3),age int, salary double);
insert into salary values ('dan',23,67);
insert into salary values ('bob',45,94);
insert into salary values ('tom',24,94);
insert into salary values ('sue',23,45);
insert into salary values ('joe',45,51);
insert into salary values ('sam',22,51);
Or, once you have the data entered you will have the following;
sqlite> .headers on
sqlite> .mode column
sqlite> select * from salary;
name age salary
---------- ---------- ----------
dan 23 67
bob 45 94
tom 24 94
sue 23 45
joe 45 51
sam 22 51
sqlite>
The following select will give you the youngest person making the top
salary in the company.
sqlite> select 1000-max(salary*1000-age)%1000 from salary;
1000-max(salary*1000-age)%1000
24
This is the correct answer. The highest salary is 94 for bob and tom.
Tom is the youngest at 24.
First, why the number 1000. Well, no one lives to be 1000, so we know
that age will never be >= 1000. Therefore max(salary*1000-age) will
clearly choose the highest salary independent of age, as long as
salary is >= 1. In cases of a tie in salary, the youngest person will
subtract the the least amount from the salary. So this value will
return as the highest. Now, it's easy to remove the salary part from
this number. Since salary is multiplied by 1000 it will disappear with
mod 1000, because it it's a perfect factor of 1000.
To understand how this works it is helpful to break the statement into
separate, smaller parts as follows:
sqlite> select salary*1000-age,salary*1000,-age from salary;
salary*1000-age salary*1000 -age
--------------- ----------- ----------
66977 67000 -23
93955 94000 -45
93976 94000 -24
44977 45000 -23
50955 51000 -45
50978 51000 -22
sqlite>
But what about the negative value for age? With the non-Knuth method
of the mod function, '%' , a negative number -x will always for -x.
x % y is defined as follows:
x % y == x - INT(x/y)*y
and undefined for y == 0. The language
C and Fortran use this method.
In contrast the Knuth method, also found in python,
an accepted in mathematics defines this function
as follows:
x mod y == x - floor(x/y),
and equal to x if y == 0
The difference between the two shows up with negative
values for x.
Or, put another way, as long as -x != y, then, -x % y = -x. For
example, assume x=4 and y=5, then, -4 % 5 will return a -4. Here are a
few other examples. Again this is NOT the Kuth method for the mod
function.
-1 % 5 = -1
-2 % 5 = -2
-3 % 5 = -3
So what we are really doing is the following:
1000 + -1*(1000-age) = age
C and C++ API
Simple C program
The following is a simple C program, [29]simplesqlite3.c that will
open a database and execute a sql string
#include <stdio.h>
#include <stdlib.h>
#include <sqlite3.h>
static int callback(void *NotUsed, int argc, char **argv, char **azColName){
NotUsed=0;
int i;
for(i=0; i<argc; i++){
printf("%s = %s\n", azColName[i], argv[i] ? argv[i] : "NULL");
}
printf("\n");
return 0;
}
int main(int argc, char **argv){
sqlite3 *db;
char *zErrMsg = 0;
int rc;
if( argc!=3 ){
fprintf(stderr, "Usage: %s DATABASE SQL-STATEMENT\n", argv[0]);
exit(1);
}
rc = sqlite3_open(argv[1], &db);
if( rc ){
fprintf(stderr, "Can't open database: %s\n", sqlite3_errmsg(db));
sqlite3_close(db);
exit(1);
}
rc = sqlite3_exec(db, argv[2], callback, 0, &zErrMsg);
if( rc!=SQLITE_OK ){
fprintf(stderr, "SQL error: %s\n", zErrMsg);
}
sqlite3_close(db);
return 0;
}
The command to compile and run the program is shown below. In
particular note the "-Wl,-R/usr/local/lib" options, which will be
needed if you installed sqlite3 source, since the path
"/usr/local/lib" may not be listed in your "/etc/ld.so.conf" file.
gcc -o simplesqlite3 simplesqlite3.c -Wall -W -O2 -Wl,-R/usr/local/lib -lsqlite3
You either have to use the compile option above, or add the directory
where the sqlite3 library "libsqlite3.so" is installed into the file
"/etc/ld.so.conf" and then run the command "ldconfig" from the shell.
I prefer to use the "-Wl,-R" option instead; but, there are the steps.
$ locate libsqlite3.so
/usr/local/lib/libsqlite3.so.0.8.6
/usr/local/lib/libsqlite3.so.0
/usr/local/lib/libsqlite3.so <--- note directory is /usr/local/lib
$ echo "/usr/local/lib" >> /etc/ld.so.conf
$ ldconfig
After you have entered and compiled the program, it will run as
follows:
$ ./simplesqlite3 test.db "create table notes (t text)"
$ ./simplesqlite3 test.db "insert into notes (t) values ('
> This is some random
> stuff to add'
>);"
$ ./simplesqlite3 test.db "select * from notes"
t = This is some random stuff to add
There are really only 3 important statements sqlite3_open() which
takes the name of the database and a database pointer, sqlite3_exec()
which executes the SQL commands in argv[2] but also list the callback
function used to display the results, and sqlite3_close() which closes
the database connection.
C++ program - Building a Class to do the Work
It is possible to build a class SQLITE3 , defined below that reads the
returned data into a vector. Note, instead of using the sqlite3_exec()
function sqlite3_get_table() is used instead copies the result of the
SQL statement into the variable array of string result. Note this
variable must be freed with sqlite3_free_table() after it has been
used to copy the returned SQL headings and data into the vector
vcol_head and vdata. So note that the first row is the heading.
class SQLITE3 {
private:
sqlite3 *db;
char *zErrMsg;
char **result;
int rc;
int nrow,ncol;
int db_open;
public:
std::vector<std::string> vcol_head;
std::vector<std::string> vdata;
SQLITE3 (std::string tablename="init.db"): zErrMsg(0), rc(0),db_open(0) {
rc = sqlite3_open(tablename.c_str(), &db);
if( rc ){
fprintf(stderr, "Can't open database: %s\n", sqlite3_errmsg(db));
sqlite3_close(db);
}
db_open=1;
}
int exe(std::string s_exe) {
rc = sqlite3_get_table(
db, /* An open database */
s_exe.c_str(), /* SQL to be executed */
&result, /* Result written to a char *[] that this points to */
&nrow, /* Number of result rows written here */
&ncol,/* Number of result columns written here */
&zErrMsg/* Error msg written here */
);
if(vcol_head.size()>0) { vcol_head.clear(); }
if(vdata.size()>0){ vdata.clear(); }
if( rc == SQLITE_OK ){
for(int i=0; i < ncol; ++i)
vcol_head.push_back(result[i]); /* First row heading */
for(int i=0; i < ncol*nrow; ++i)
vdata.push_back(result[ncol+i]);
}
sqlite3_free_table(result);
return rc;
}
~SQLITE3(){
sqlite3_close(db);
}
};
The complete program can be found in the example [30]download or
viewed here: simplesqlite3cpp2.cc
http://souptonuts.sourceforge.net/code/simplesqlite3cpp2.cc.html
With the class defined above, it can be used in main or in a function
as follows:
std::string s;
SQLITE3 sql("database.db");
sql.exe("create table notes (t text)");
s="insert into notes (t) values ('sample data')";
sql.exe(s);
s="select t from notes";
sql.exe(s);
The following, still assuming this code will be entered in main or a
function, is an example of printing the data from a select. Note the
headings section and the data sections.
if( sql.vcol_head.size() > 0 )
{
std::cout << "Headings" << std::endl;
copy(sql.vcol_head.begin(),
sql.vcol_head.end(),
std::ostream_iterator<std::string>(std::cout,"\t"));
std::cout << std::endl << std::endl;
std::cout << "Data" << std::endl;
copy(sql.vdata.begin(),
sql.vdata.end(),
std::ostream_iterator<std::string>(std::cout,"\t"));
std::cout << std::endl;
}
Defining SQLite User Functions
Aggregate Functions and Simple Functions
There are two types of functions. Aggregate functions and simple
functions. Simple functions like sign(), which was created above can
be used in any expression. Aggregate functions like "avg()" can only
be used in the select statment. Some functions "min" and "max" can be
defined as both. min() with 1 argument is an aggregate function,
whereas, min() with an unlimited number of arguments is a simple
function
Here is an example the illistrates the difference
$ sqlite3
SQLite version 3.0.8
Enter ".help" for instructions
create table junk (a integer);
$ sqlite3
SQLite version 3.0.8
Enter ".help" for instructions
sqlite> create table junk (a integer);
sqlite> insert into junk (a) values (1);
sqlite> insert into junk (a) values (2);
sqlite> insert into junk (a) values (3);
sqlite> select * from junk;
1
2
3
sqlite> select * from junk where a=min(1,2,3,4,5);
1
sqlite> select * from junk where a=min(1);
SQL error: misuse of aggregate function min()
sqlite>
Note above that the min() function, with only one variable, is an
aggregate function. Since it is only an aggregate function, it cannot
be used after the where clause. An aggregate function can only be used
after the select clause as follows:
sqlite> select min(a) from junk
1
But, if you add a second argument,then, you're calling the simple
function. Note below that each row is compared to 2.3. Look closely
because there is subtle but important difference here.
sqlite> select min(a,2.3) from junk
2
2.3
1
sqlite>
Creating a User Defined Sign Function - msign
Below is an example of the sign function. It is called msignFunc so as
not to interfere with the permanent sign function that was created
earlier.
void msignFunc(sqlite3_context *context, int argc, sqlite3_value **argv){
assert( argc==1 );
switch( sqlite3_value_type(argv[0]) ){
case SQLITE_INTEGER: {
long long int iVal = sqlite3_value_int64(argv[0]);
iVal = ( iVal > 0) ? 1 : ( iVal < 0 ) ? -1 : 0;
sqlite3_result_int64(context, iVal);
break;
}
case SQLITE_NULL: {
sqlite3_result_null(context);
break;
}
default: {
double rVal = sqlite3_value_double(argv[0]);
rVal = ( rVal > 0) ? 1 : ( rVal < 0 ) ? -1 : 0;
sqlite3_result_double(context, rVal);
break;
}
}
}
As you can see below, this function gets inititiated as follows:
sqlite3_create_function(db, "msign", 1, SQLITE_UTF8, NULL,
&msignFunc, NULL, NULL));
Note that "msign" is the name of the function in sqlite3. It is the
name you would use in a select statement "select msign(3);". The 1 is
the number of arguments. The msign function here only takes one
argument. SQLITE_UTF8 is for the text representation. Then, skiping
over NULL, &msignFunc is the name of the C function. The last two
values, and they must be NULL for simple function - again, a simple
function can be used in any part of the select where clause.
Aggregate Funcion
A good place to look for creating function is the "./src/func.c" file
in the sqlite3 source. Suppose you would like to create a new sum
function call S. It will create the aggregate sum of the rows.
The following data is used to explain this function.
$ ./myfuncpp DATABASE "create table t(a integer, b integer, c integer)"
$ ./myfuncpp DATABASE "insert into t (a,b,c) values (1,-1,2)"
$ ./myfuncpp DATABASE "insert into t (a,b,c) values (2,-2,4)"
$ ./myfuncpp DATABASE "insert into t (a,b,c) values (3,-3,8)"
$ ./myfuncpp DATABASE "insert into t (a,b,c) values (4,-4,16)"
$ ./myfuncpp DATABASE "select * from t"
a = 1 b = -1 c = 2
a = 2 b = -2 c = 4
a = 3 b = -3 c = 8
a = 4 b = -4 c = 16
a = 4 b = -4 c = 16
Now for how the function S will create list of the sums. Unlike the
standard aggregate sum() function, a list is returned.
$ ./myfuncpp DATABASE "select S(a),S(b),S(c) from t"
S(a) = (1,3,6,10,14) S(b) = (-1,-3,-6,-10,-14) S(c) = (2,6,14,30,46)
Note above that a column which contains the values in the table
(1,2,3,4,5) shows the cumulative sum (1,1+2=3,1+2+3=6,1+..) in a list.
This is different from any function defined in "./src/func.c" since
the data must be in a string.
To view this example and all other examples see the [32]download.
Since a list is returned, this example will use C++ std::stringstream,
since this is fast and well suited for all types of data integer,
double, and text.
Since S is an aggregate function, there are two functions "SStep" and
"SFinalize". Aggregate functions always have a "Step" and a
"Finalize". "Step" is called for each row, and after the last row the
"Finalize" function is called.
A Both the Step and the Finalize can make use of a structure for
holding the cumulated data collected from each row. For this function
the structure SCtx is defined below. std::stringstream is global. No I
would not advise putting an additional variable in SCtx "char *ss".
You may be thinking that the additional variable "char *ss" could be
dynamically increased with realloc, which will work. However, the
problem is freeing the memory hanging off the structure. A bit of
confusion here. As the sqlite documentation correctly points out the
structure SCtx will be freed; but again, in my testing any additional
memory allocated off members in the structure will not. On the
otherhand, an array of std:stringstrings "BS" will have to be kept for
when this function is called more than once in the same select "select
S(a),S(b),...S(100th)" The overhead appears minimal.
#define MAXSSC 100
typedef struct SCtx SCtx;
struct SCtx {
double sum;/* Sum of terms */
int cnt; /* Number of elements summed */
int sscnt; /* Keeps counts for ss */
};
std::stringstream ss[MAXSSC];
int sscnt=0;
Below is the step function. p gets initialized the first time through
SStep. On the firt pass, all the values in the SCtx structure will be
zeroed. This is a feature of "sqlite3_aggregate_context". Since
std::stringstream s0 is defined as a global variable, care will have
to be taken to ensure that when S is called in the same select:
"Select S(a),S(b)..." that S(a) does not use S(b)'s stringstream.
static void SStep(sqlite3_context *context, int argc, sqlite3_value **argv){
SCtx *p=NULL;
int i;
std::string d;
if( argc<1 ) return;
p = (SCtx *) sqlite3_aggregate_context(context, sizeof(*p));
if( p->cnt == 0) /* When zero first time through */
{
if ( sscnt >= MAXSSC )
{
fprintf(stderr,"MAXSSC needs to increase\n");
exit(1);
}
p->sscnt=sscnt;
sscnt++;
ss[p->sscnt].str("");
ss[p->sscnt] << "(";
d="";
} else {
d=",";
}
p->sum += sqlite3_value_double(argv[0]);
p->cnt++;
ss[p->sscnt] << d << p->sum ;
/*
* If the simple function is not used this
* comes into play.
*/
if (p->cnt == 1)
{
for(i=1; i< argc; ++i) {
p->cnt++;
p->sum+=sqlite3_value_double(argv[i]);
ss[p->sscnt] << "," << p->sum ;
}
}
}
Above the line, p = (SCtx *) sqlite3_aggregate_context(context,
sizeof(*p));, will initilize p->sum, p->cnt, and p->sscnt to zero on
the first entry into this function. On each successive entry, the old
values get passed back. Although the std:stringstream ss variable is
global S(a) calle in the select uses ss[0], S(b) will use ss[1]...
etc.
Also note the comment above "IF the simple function is not used this
comes into play". Below that statment i walks through the arguement
count. It is possible to have a function name 'S' in this case defined
as both an aggregate function and a simple function. The distinction
is made with the number of arguments in the calling function. This is
set in sqlite3_create_function. For example, a name could be assigned
to a simple function and an aggregate function. Normally this is setup
so that the simple function takes two or more arguments max(1,2,3,4,5)
and the aggregate function just takes one argument max(a). In the
source "./src/func.c" , take a look at max.
Here is the Finalize function.
static void SFinalize(sqlite3_context *context){
SCtx *p=NULL;
char *buf=NULL;
p = (SCtx *) sqlite3_aggregate_context(context, sizeof(*p));
ss[p->sscnt] << ")";
buf = (char *) malloc (sizeof(char)*(ss[p->sscnt].str().size()+1));
if (buf == NULL)
fprintf(stderr,"malloc error in SNFinalize, buf\n");
snprintf(buf,ss[p->sscnt].str().size(),"%s",ss[p->sscnt].str().c_str());
sqlite3_result_text(context,buf,ss[p->sscnt].str().size()+1,free );
sscnt--; /* reclaim this stream */
}
After all the rows in select have gone through the "SStep" function,
the "SFinalize" function is called. The last value for the SCTx
structure, is assigned to p in the following statement "p = (SCtx *)
sqlite3_aggregate_context(context, sizeof(*p));". Note that p->sscnt
is need for indexing the correct ss. The proper size memory is
allocated using +1 in ss[p->sscnt].str().size()+1, to allow for the
NUL character. sqlite3_result_text takes care of freeing the memory
allocated for buf.
The user functions above "SStep" and "SFinalize" need to be added to
the SQL language interpreter. This get done with the
"sqlite3_create_function" as shown below.
if (sqlite3_create_function(db, "S", 1, SQLITE_UTF8, NULL, NULL, &SStep,
&SFinalize) != 0)
fprintf(stderr,"Problem with S using SStep and SFinalize\n");
Note the 1 for the 3rd argument. This aggregate function is used when
one argument is passed. To have it both ways, to have 'S' defined as
both an aggregate and a simple function, an SFunc would have to be
created. That could handle 2 to N variables. Once this function is
created, the additional "sqlite3_create_function" would be defined in
main as follows:
... still in main
if (sqlite3_create_function(db, "S", -1, SQLITE_UTF8, NULL, &SFunc, NULL,
NULL) != 0)
fprintf(stderr,"Problem with S using SFunc -- simple function\n");
Here is an example SFunc function.
static void SFunc(sqlite3_context *context, int argc, sqlite3_value **argv){
std::stringstream s;
std::string d;
double sum=0;
char *buf=NULL;
int i;
s.str("");
s << "(";
d="";
for(i=0; i < argc; i++)
{
switch( sqlite3_value_type(argv[i]) ){
case SQLITE_INTEGER: {
sum+=(double) sqlite3_value_int64(argv[i]);
s << d << sum;
d=",";
break;
}
case SQLITE_NULL: {
s << d << "()";
d=",";
break;
}
default: {
sum+=sqlite3_value_int64(argv[i]);
s << d << sum;
d=",";
break;
}
}
}
s << ")";
buf = (char *) malloc (sizeof(char)*(s.str().size()+2));
if (buf == NULL)
fprintf(stderr,"malloc error in SNFunc, buf\n");
snprintf(buf,s.str().size()+1,"%s",s.str().c_str());
sqlite3_result_text(context,buf,s.str().size()+1,free );
}
Now S works as both a simple function and an aggregate function. The
simple function can go in any expression; but, the aggregate only
works after the select. Hence, this goes back to the power of the sign
function, which is a simple function.
./myfuncpp DATABASE 'select S(1,2,3,4)'
S(1,2,3,4) = (1,3,6,10)
For a few more examples, take a look at myfuncpp.cc
http://souptonuts.sourceforge.net/code/myfuncpp.cc.html
in the download
http://prdownloads.sourceforge.net/souptonuts/sqlite_examples.tar.gz?download
There are some interesting functions here. For instance,
there is an I or index function that works as follows:
$ ./myfuncpp DATABASE "select S(1,2,3)"
S(1,2,3) = (1,3,6)
$ ./myfuncpp DATABASE "select I(S(1,2,3),0)"
I(S(1,2,3),0) = 1
$ ./myfuncpp DATABASE "select I(S(1,2,3),1)"
I(S(1,2,3),1) = 3
Which takes the index in the list. The first index starts at zero.
Reading in Images (Blob data) - eatblob.c
http://souptonuts.sourceforge.net/code/eatblob.c.html
First a demonstration of how the program eatblob.c works. This program
is a C API that inserts binary (blob) data into a table.
The program can be run in two ways. Script commands can be redirected
into this program. For example, if you first create the following
script file "sqlcommands"
$ cat sqlcommands
create table blobtest (des varchar(80),b blob);
insert into blobtest (des,b)
values ('A test file: test.png',?);
select * from blobtest;
Note the "?" on the line "values ('A test file: test.png',?);". This
serves as a place holder for where blob data in the SQL statement.
Using the file above "sqlcommands" the program gets executed as
follows:
$ ./eatblob test3.db test.png < sqlcommands
The image file "test.png" will get read into the program. And will be
inserted into the field b, since this is where the question mark is
placed.
The program also works interactively. You can work with it in an
interactive session as follows:
$ ./eatblob test.db test.png
eatblob:0> create table blobtest2 (des varchar(30), b blob);
eatblob:0> insert into blobtest2 (des,b) values ('A second test: test.png',?);
eatblob:1> insert into blobtest2 (des,b) values ('A third test: test.png',?);
eatblob:2> select * from blobtest2;
A second test: test.png
A third test: test.png
eatblob:2> .q
[chirico@third-fl-71 sqlite_examples]$ ls outdata.*
outdata.0.png outdata.1.png
The blob data is not shown, instead it is written to the file
outdata.n.png where n is the record number. Above 2 records are
written "outdata.0.png" and "outdata.1.png".
Examining the C code in eatblob.c
The program eatblob.c works by reading in all of the binary data
from the filename given as the third argument to the command. The
complete file is read into memory. One way to do this is to get the
total file size first, then, allocate that amount of memory with
malloc. That approach is not taken here. Instead, a more general
approach is used. For instance, if you were to read data from a
socket, you may not know beforehand how big the file will be. This
general approach will take advantage of the realloc function. The
function in the program addmem will give us a number. The number will
be the new number of units to reallocate. We want to increase the
amount of memory in a non-linear fashion to minimize the number of
reallocations for large files.
#define MULT_START16384
#define MULT_INCREMENT 2
#define INIT_SIZE 1024
long memindx = MULT_START;
long memnext;
...
1 long addmem(char **buf, long size)
2 {
3memnext = (size > 0) ? size + memindx : INIT_SIZE;
4memindx = memindx * MULT_INCREMENT;
5char *tbuf = realloc(*buf, memnext);
6if (tbuf == NULL) {
7 fprintf(stderr, "Can't allocate memory in addmem\n");
8 return size;
9} else {
10 *buf = tbuf;
11 return memnext;
12}
13 }
...
One line 3, the fist time this function is called, the variable size
is the current number of bytes allocated. If no memory has been
allocated (size is 0), then, the new size will be INIT_SIZE. For this
program, INIT_SIZE is set to 1024 in the define statement. However, if
size is greater than zero, then, the new size will be the initial size
plus memindx, which starts at 1024.
Call memidx Number Returned size
110241024 =0 + 1024 0
220483072 = 1024 + (1024*2) 1024
340967168 = 3072 + (2048*2) 3072
48192 15360 = 7168 + (4096*2) 7168
5 16384 31744 = 15360 + (8192*2) 15360
...
And, as you can see from above the number returned increases
exponentially. "memindx" is doubled each time this function is called.
This doubled value gets added to the size.
1 long addmem(char **buf, long size)
2 {
3memnext = (size > 0) ? size + memindx : INIT_SIZE;
4memindx = memindx * MULT_INCREMENT;
5char *tbuf = realloc(*buf, memnext);
6if (tbuf == NULL) {
7 fprintf(stderr, "Can't allocate memory in addmem\n");
8 return size;
9} else {
10 *buf = tbuf;
11 return memnext;
12}
13 }
...
So the function above gives us a number that we can pass to realloc.
Note, realloc works as follows, if realloc is successful it will copy
the contents pointed to by buf to a location of memory with the larger
size memnext, and then free the up the old region of memory. This new
region of memory will be assigned to tbuf. Since the old location, the
location pointed to by *buf has been released, we need to assign the
new value to *buf ( *buf = tbuf).
If realloc cannot get the new size memnext, then, *buf is left
untouced and tbuf will be null
Note, in the above program buf is a pointer to a pointer, *buf is a
pointer, and **buf is the first byte of data.
Perl and sqlite3
To use Perl with sqlite3 DBI and DBD::SQLite must be installed. To
install the packages from CPAN, use the following commands.
# perl -MCPAN -e shell
cpan> install DBI
cpan> install DBD::SQLite
The following program will create a database in enter records
#!/usr/bin/perl
use DBI;
$dbh = DBI->connect( "dbi:SQLite:data.dbl" ) || die "Cannot connect: $DBI::errstr";
$dbh->do( "CREATE TABLE authors ( lastname, firstname )" );
$dbh->do( "INSERT INTO authors VALUES ( 'Conway', 'Damian' ) " );
$dbh->do( "INSERT INTO authors VALUES ( 'Booch', 'Grady' ) " );
$dbh->do( "CREATE TABLE books ( title, author )" );
$dbh->do( "INSERT INTO books VALUES ( 'Object Oriented Perl','Conway' ) " );
$dbh->do( "INSERT INTO books VALUES ( 'Object-Oriented Analysis and Design','Booch' ) ");
$dbh->do( "INSERT INTO books VALUES ( 'Object Solutions', 'Booch' ) " );
$res = $dbh->selectall_arrayref( q( SELECT a.lastname, a.firstname, b.title
FROM books b, authors a
WHERE b.title like '%Orient%'
AND a.lastname = b.author ) );
foreach( @$res ) {
foreach $i (0..$#$_) {
print "$_->[$i] "
}
print "\n";
}
$dbh->disconnect;
For a more elaborate perl example, one that defines functions,
reference perlExample.pl in the download.
http://souptonuts.sourceforge.net/code/perlExample.pl.htmlSimple Everyday Application; Keeping Notes in a Database
This simple bash script allows you to take notes. The notes consist of
a line of text followed by an optional category without the additional
typing.
"sqlite3 <database> <sql statement>",
Instead, it is a simple one letter command.
$ n 'Take a look at sqlite3 transactions -
http://www.sqlite.org/lang.html#transaction' 'sqlite3'
The above statement enters the text into a notes table under the
category 'sqlite3'. Anytime a second field appears, it is considered
the category. To extract records for the day, I enter "n -l", which is
similiar to "l -l", to "note list".
With just "n" help is listed on all the commmands.
$ n
This command is used to list notes in
a database.
n <option>
-l list all notes
-t list notes for today
-c list categories
-f <search string> seach for text
-e <cmd> execute command and add to notes
-d delete last entry
