LAMP was originally Linux, Apache, MySQL, PHP. While the L & A have parts have become more flexible, most still use MySQL. With the recent acquisition by Oracle there's no better time to demystify PostgreSQL. For years PostgreSQL has had a reputation of being difficult, but this is the furthest from the truth. This presentation by Asher Snyder will cover installation, basic queries, stored procedures, triggers, and full-text search.

1. Demystifying
Presented by
Asher Snyder
@ashyboy
co-founder of
Latest PostgreSQL version 9.0.1
www.postgresql.org

2. What is PostgreSQL?
• Completely Open Source Database System
– Started in 1995
– Open source project
– Not owned by any one company
– Controlled by the community
– Can’t be bought (Looking at you ORACLE)
• ORDMBS
– Object-relational database management system?
• RDBMS with object-oriented database model
– That’s right, it’s not just an RDMBS
– You can create your own objects
– You can inherit
• Fully ACID compliant
– Atomicity, Consistency, Isolation, Durability. Guarantees that
database transactions are processed reliably.
• ANSI SQL compliant

3. Notable Features
• Transactions
• Functions (Stored procedures)
• Rules
• Views
• Triggers
• Inheritance
• Custom Types
• Referential Integrity
• Array Data Types
• Schemas
• Hot Standby (as of 9.0)
• Streaming Replication (as of 9.0)

4. Support
• Excellent Personal Support!
– Vibrant Community
• Active Mailing List
• Active IRC - #postgres on irc.freenode.net
– Absolutely amazing
• Complete, Extensive and Detailed Documentation
– http://www.postgresql.org/docs/
• Regular and frequent releases and updates
– Public Roadmap
• Support for older builds
– Currently support and release updates to builds as
old as 5 years

5. Support
• Numerous Shared Hosts
– Such as A2hosting (http://www.a2hosting.com)
• Numerous GUI Administration Tools
– pgAdmin (http://www.pgadmin.org/)
– php pgAdmin
(http://phppgadmin.sourceforge.net/)
– Notable commercial tools
• Navicat (http://www.navicat.com)
• EMS (http://sqlmanager.net)
– Many many more
• http://wiki.postgresql.org/wiki/Community_Guide_to_
PostgreSQL_GUI_Tools

6. Installation
• Despite what you’ve heard
Postgres is NOT hard to install
$ apt-get install postgresql
On Ubuntu or Debian:
$ emerge postgresql
On Gentoo:
$ adduser postgres
mkdir /usr/local/pgsql/data
chown postgres /usr/local/pgsql/data
su - postgres
/usr/local/pgsql/bin/initdb -D /usr/local/pgsql/data
/usr/local/pgsql/bin/postgres -D /usr/local/pgsql/data
Manual Installation:

7. Installation (cont)
• Regardless of what installation method
you choose. Make sure to modify
postgresql.conf and pg_hba.conf
configuration files if you want to allow
outside access.
# TYPE DATABASE USER CIDR-ADDRESS METHOD
host all all 0.0.0.0/0 md5
pg_hba.conf - Controls which hosts are allowed to connect
Allows for connection from any outside connection with md5 verification
# - Connection Settings
listen_addresses = '*' # IP address to listen on
#listen_addresses = 'localhost' # default
postgresql.conf - PostgreSQL configuration file
Allows PostgreSQL to listen on any address

8. Getting Started
$ /etc/init.d/postgresql start
pg_hba.conf - Controls which hosts are allowed to connect
$ /usr/local/pgsql/bin/postgres -D /usr/local/pgsql/data
alternatively, you can start it manually
Start from distro

9. Creating Your Database
$ psql
Launch psql
CREATE DATABASE first_db;
Create your first PostgreSQL database
c first_db
Connect to your newly created database

10. Tables

11. Tables - Creating
CREATE TABLE users (
"user_id" SERIAL,
"email" TEXT,
"firstname" TEXT,
"lastname" TEXT,
"password" TEXT,
PRIMARY KEY("user_id")
);
• What’s a SERIAL?
– Short for INTEGER NOT NULL with default value of
nextval('users_user_id_seq')
• Similar to AUTO_INCREMENT property of other databases.

12. Tables - Inserting
INSERT INTO users (email, firstname, lastname, password)
VALUES ('asnyder@noloh.com', 'Asher', 'Snyder', 'Pass');
We can explicitly define each field and the value associated with it.
This will set user_id to the default value.
INSERT INTO users VALUES (DEFAULT, 'john@example.com',
'John', 'Doe', 'OtherPass');
Alternatively, we can not specify the column names and insert
based on the column order, using DEFAULT for the user_id.
SELECT * FROM users;
Lets see the results
user_id | email | firstname | lastname | password
--------+-------------------+-----------+------------------+-----------+----------------------------
1 | asnyder@noloh.com | Ash | Snyder | Pass
2 | John | Doe | john@example.com | OtherPass

13. Views

14. Views
CREATE VIEW v_get_all_users AS
SELECT * FROM users;
• Views allow you store a query for easy retrieval later.
– Query a view as if it were a table
– Allows you to name your query
– Use views as types
– Abstract & encapsulate table structure changes
• Allows for easier modification & extension of your database
Create basic view
Query the view
SELECT * FROM v_get_all_users;
user_id | email | firstname | lastname | password
--------+-------------------+-----------+------------------+-----------+----------------------------
1 | asnyder@noloh.com | Ash | Snyder | Pass
2 | John | Doe | john@example.com | OtherPass

15. Views (cont)
ALTER TABLE users ADD COLUMN "time_created"
TIMESTAMP WITHOUT TIME ZONE DEFAULT
Alter Table
Now, if we were to query the table we would see a timestamp showing us when
the user was created.
SELECT * FROM users;
As you can see, this is not very useful for humans. This is where a view can
come in to make your life easier.
user_id | email | firstname | lastname | password | time_created
--------+-------------------+-----------+------------------+-----------+----------------------------
1 | asnyder@noloh.com | Ash | Snyder | Pass | 2010-10-27 14:30:07.335936
2 | John | Doe | john@example.com | OtherPass | 2010-10-27 14:30:07.335936

16. Views (cont)
CREATE OR REPLACE VIEW v_get_all_users
AS
SELECT user_id,
email,
firstname,
lastname,
password,
time_created,
to_char(time_created, 'FMMonth
FMDDth, YYYY FMHH12:MI:SS AM') as
friendly_time
FROM users;
Alter View

17. Views (cont)
Now, when we query the view we can actually interpret time_created
SELECT * FROM v_get_all_users;
user_id | email | firstname | lastname | password | time_created
---------+-------------------+-----------+------------------+-----------+----------------------------
1 | asnyder@noloh.com | Ash | Snyder | Pass | 2010-10-27 14:30:07.335936
2 | John | Doe | john@example.com | OtherPass | 2010-10-27 15:20:05.235936
| friendly_time
+-------------------------------
October 27th, 2010 2:30:07 PM
October 27th, 2010 3:20:05 PM

18. Views (cont) – Joined View
Finally, lets create a joined view
CREATE TABLE companies (
"company_id" SERIAL,
"company_name" TEXT,
PRIMARY KEY("company_id")
);
Create companies table
INSERT INTO companies VALUES(DEFAULT, 'NOLOH LLC.');
Add company
ALTER TABLE users ADD COLUMN company_id INTEGER;
Add company_id to users
UPDATE users SET company_id = 1;
Update users

19. Views (cont) – Joined View
CREATE OR REPLACE VIEW v_get_all_users
AS
SELECT user_id,
email,
firstname,
lastname,
password,
time_created,
to_char(time_created, 'FMMonth FMDDth, YYYY
FMHH12:MI:SS AM') as friendly_time,
t2.company_id,
t2.company_name
FROM users t1
LEFT JOIN companies t2 ON (t1.company_id =
t2.company_id);
Alter view

20. Views (cont)
SELECT * FROM v_get_all_users;
user_id | email | firstname | lastname | password | time_created
---------+-------------------+-----------+------------------+-----------+----------------------------
1 | asnyder@noloh.com | Ash | Snyder | SomePass | 2010-10-27 14:30:07.335936
2 | John | Doe | john@example.com | OtherPass | 2010-10-27 15:20:05.235936
| friendly_time | company_id | company_name
+------------------------------+------------+--------------
October 27th, 2010 2:30:07 PM | 1 | NOLOH LLC.
October 27th, 2010 3:20:05 PM | 1 | NOLOH LLC.
Query view
Nice! Now instead of having to modify a query each time we can just use
v_get_all_users. We can even use this VIEW as a return type when
creating your own database functions.

21. Functions

22. Functions
• Also known as Stored Procedures
• Allows you to carry out operations that would normally
take several queries and round-trips in a single function
within the database
• Allows database re-use as other applications can interact
directly with your stored procedures instead of a middle-
tier or duplicating code
• Can be used in other functions
• First class citizens
– Query functions like tables
– Create functions in language of your choice
• SQL, PL/pgSQL, C, Python, etc.
– Allowed to modify tables and perform multiple operations
– Defaults
– In/Out parameters

23. Functions (cont)
CREATE FUNCTION f_add_company(p_name TEXT) RETURNS
INTEGER
AS
$func$
INSERT INTO companies (company_name) VALUES ($1)
RETURNING company_id;
$func$
LANGUAGE SQL;
Create basic function
Call f_add_company
f_add_company
---------------
2
(1 row)
SELECT f_add_company('Google');

24. Functions (cont) – Syntax Explained
• Return type
– In this case we used INTEGER
• Can be anything you like including your views and own custom types
– Can even return an ARRAY of types, such as INTEGER[]
• Do not confusing this with returning a SET of types.
• Returning multiple rows of a particular types is done
through RETURN SETOF. For example, RETURN SETOF
v_get_all_users.
• $func$ is our delimiter separating the function body. It
can be any string you like. For example $body$ instead of
$func$.
• $1 refers to parameter corresponding to that number. We
can also use the parameter name instead. In our example
this would be 'p_name'.

25. Functions (cont) – PL/pgSQL
• If you’re using PostgreSQL < 9.0 make
sure you add PL/pgSQL support
CREATE TRUSTED PROCEDURAL LANGUAGE "plpgsql"
HANDLER "plpgsql_call_handler"
VALIDATOR "plpgsql_validator";

26. Functions (cont) – PL/pgSQL
CREATE OR REPLACE FUNCTION f_add_company(p_name TEXT) RETURNS INTEGER
AS
$func$
DECLARE
return_var INTEGER;
BEGIN
SELECT INTO return_var company_id FROM companies WHERE
lower(company_name) = lower($1);
IF NOT FOUND THEN
INSERT INTO companies (company_name) VALUES ($1) RETURNING
company_id INTO return_var;
END IF;
RETURN return_var;
END;
$func$
LANGUAGE plpgsql;

27. Functions (cont)
Call f_add_company
f_add_company
---------------
3
(1 row)
SELECT f_add_company('Zend');
Call f_add_company with repeated entry
f_add_company
---------------
2
(1 row)
SELECT f_add_company('Google');
• We can see that using functions in our database allows us
to integrate safeguards and business logic into our
functions allowing for increased modularity and re-use.

28. Triggers

29. Triggers
• Specifies a function to be called BEFORE or AFTER any
INSERT, UPDATE, or DELETE operation
– Similar to an event handler (but clearly confined) in event
based programming
– BEFORE triggers fire before the data is actually inserted.
– AFTER triggers fire after the statement is executed and
data is inserted into the row
• Function takes NO parameters and returns type
TRIGGER
• Most commonly used for logging or validation
• Can be defined on entire statement or a per-row basis
– Statement level triggers should always return NULL
• As of 9.0 can be specified for specific columns and
specific WHEN conditions

30. Triggers (cont)
CREATE TABLE logs (
"log_id" SERIAL,
"log" TEXT,
PRIMARY KEY("log_id")
);
Create logs table
CREATE FUNCTION "tr_log_handler"()
RETURNS trigger AS
$func$
DECLARE
log_string TEXT;
BEGIN
log_string := 'User ' || OLD.user_id || ' changed ' || CURRENT_TIMESTAMP;
IF NEW.email != OLD.email THEN
log_string := log_string || 'email changed from '
|| OLD.email || ' to ' || NEW.email || '. ';
END IF;
IF NEW.firstname != OLD.firstname THEN
log_string := log_string || 'firstname changed from '
|| OLD.firstname || ' to ' || NEW.firstname || '. ';
END IF;
IF NEW.lastname != OLD.lastname THEN
log_string := log_string || 'lastname changed from '
|| OLD.lastname || ' to ' || NEW.lastname || '. ';
END IF;
INSERT INTO logs (log) VALUES (log_string);
RETURN NEW;
END;
$func$
LANGUAGE plpgsql;
Create trigger handler

31. Triggers (cont)
CREATE TRIGGER "tr_log" AFTER UPDATE
ON users FOR EACH ROW
EXECUTE PROCEDURE "tr_log_handler"();
Create trigger
log_id | log
--------+---------------------------------------------------------------------------------
1 | User 1 changed 2010-08-30 23:43:23.771347-04 firstname changed from Asher to Ash.
(1 row)
SELECT * FROM logs;
Update user
UPDATE users SET firstname = 'Ash' WHERE user_id = 1;
Display logs

32. Full-Text Search

33. Full-Text Search
• Allows documents to be preprocessed
• Search through text to find matches
• Sort matches based on relevance
– Apply weights to certain attributes to
increase/decrease relevance
• Faster than LIKE, ILIKE, and LIKE with regular
expressions
• Define your own dictionaries
– Define your own words, synonyms, phrase
relationships, word variations

34. Full-Text Search
• tsvector
– Vectorized text data
• tsquery
– Search predicate
• Converted to Normalized lexemes
– Ex. run, runs, ran and running are forms of the same lexeme
• @@
– Match operator

35. Full-Text Search (cont)
SELECT 'phpbarcelona 2010 is a great conference'::tsvector
@@ 'conference & great'::tsquery;
Match Test 1
SELECT 'phpbarcelona 2010 is a great conference'
@@ 'conference & bad'
Match Test 2
?column?
---------
t
(1 row)
?column?
---------
f
(1 row)

36. Full-Text Search (cont) – to_
SELECT to_tsvector('phpbarcelona 2010 is a great conference‘)
@@ plainto_tsquery('conference & great') ;
to_tsvector & plainto_tsquery
SELECT * FROM companies WHERE to_tsvector(company_name) @@
to_tsquery('unlimited');
Search through tables
?column?
---------
t
(1 row)
company_id | company_name
------------+--------------
(0 rows)

37. Full-Text Search
• setweight
– Possible weights are A, B, C, D
• equivalent 1.0, 0.4, 0.2, 0.1 respectively
• ts_rank
– Normal ranking function
• ts_rank_cd
– uses the cover density method of ranking, as
specified in Clarke, Cormack, and Tudhope’s
“Relevance Ranking for One to Three Term
Queries” in the journal, “Information Processing
and Management”, 1999.

38. Full-Text Search (cont) - Ranking
SELECT case_id, file_name,
ts_rank_cd(setweight(to_tsvector(coalesce(t1.file_name)), 'A') ||
setweight(to_tsvector(coalesce(t1.contents)), 'B'), query) AS rank
FROM cases.cases t1, plainto_tsquery('copyright') query
WHERE to_tsvector(file_name || ' ' || contents) @@ query
ORDER BY rank DESC LIMIT 10
setweight & ts_rank_cd
case_id | file_name | rank
---------+------------------------------------------------------+------
101 | Harper & Row v Nation Enter 471 US 539.pdf | 84.8
113 | IN Re Literary Works Elec Databases 509 F3d 522.pdf | 76
215 | Lexmark Intl v Static Control 387 F3d 522.pdf | 75.2
283 | Feist Pubs v Rural Tel 499 US 340.pdf | 67.2
216 | Lucks Music Library v Ashcroft 321 F Supp 2d 107.pdf | 59.2
342 | Blue Nile v Ice 478 F Supp 2d 1240.pdf | 50.8
374 | Perfect 10 v Amazon 487 F3d 701.pdf | 43.6
85 | Pillsbury v Milky Way 215 USPQ 124.pdf | 43.6
197 | St Lukes Cataract v Sanderson 573 F3d 1186.pdf | 42
272 | Religious Technology v Netcom 907 F Supp 1361.pdf | 42
(10 rows)

39. Questions
?
@ashyboy
Presented by
Asher Snyder
co-founder of