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Many in the PostgreSQL community use Microsoft Access as a front-end to their PostgreSQL databases. Although MS Access is strictly a windows application and PostgreSQL has its roots in Unix, the two go well together. A large part of that reason is because the PostgreSQL ODBC driver is well maintained and has frequent updates. You can expect one new ODBC driver release every 4-6 months. There exist only 32-bit production quality drivers. The 64-bit driver is of alpha quality. In addition to other front-ends to PostgreSQL that utilize the ODBC driver used by Windows developers, there is VB 6 (VB.NET/C# use the ADO.NET driver also very well maintained), Visual FoxPro, Delphi, to name a few).

People who have never used Microsoft Access or anything like it and consider themselves hard-core programmers or database purists, dismiss Microsoft Access as a dangerous child's toy, causing nothing but grief when real programmers and database administrators have to debug the disorganized mess of amateurs. They dream of the day when this nuisance is rid of and their company can be finally under the strict bureaucratic control of well-designed apps that no one cares to use.

Beneath the croft of this dinkiness/dangerous toy is a RAD and Reporting tool that can connect to any database with an ODBC or ADO driver. It serves the unique niche of

1. Empowering a knowledge worker/beginner programmer/DB user who is slowly discovering the wonders of relational databases and what time savings such a tool can provide.
2. On the other side - it is inviting to the pragmatic (lazy) database programmer who has spent precious time to investigate its gems. The pragmatist sees it as a tool which provides a speedy development environment and intuitive reporting environment. It allows one to give more freedom to less experienced users, thus relieving one of tedious requests for information. By using it as a front-end to a strong server-side database such as PostgreSQL, it allows one to enforce a sufficient level of data integrity and control. The pragmatist realizes that often the best way to maintain order is to not fight disorder because the more you try to restrict people's freedoms, the craftier they get in devising ways of circumventing your traps. The pragmatic programmer also takes the view of Give a man a fish and he will pester you for more fish. Teach a man to fish and he will help you catch bigger fish.

In the first part of this series, The Anatomy of PostgreSQL - Part 1, we covered PostgreSQL Server object features. In this part, we shall explore the database and dissect the parts.

Here we see a snapshot of what a standard PostgreSQL database looks like from a PgAdmin interface.

1. Catalogs - these hold meta data information and built-in Postgres objects
2. Casts - control how Postgres casts from one datatype to another.
3. Languages - these are the languages you can define stored functions, aggregates and triggers in.
4. Schemas - logical containers for database objects.
5. Aggregates - holder for aggregate functions and custom built aggregate functions.
6. Conversions
7. Domains
8. Functions
9. Operators
10. Operator Classes
11. Operator Families - this is not shown in the diagram and is new in PostgreSQL 8.3
12. Sequences - objects for implementing autonumbers
13. Tables - self-explanatory but we'll cover the various object properties of a table such as indexes, rules, triggers, and constraints.
14. Trigger Functions - these are functions you create that get called from a PostgreSQL table trigger body.
15. Types - this is one of the key elements that qualifies PostgreSQL as an object relational database, the fact that one can define new data types.
16. Views - virtual tables

What is PgAgent?

PgAgent is a basic scheduling agent that comes packaged with PgAdmin III (since pre-8.0 or so) and that can be managed by PgAdmin III. PgAdmin III is the database administration tool that comes packaged with PostgreSQL. For those familiar with unix/linux cronjobs and crontab structure, PgAgent's scheduling structure should look very familiar. For those familiar with using Microsoft SQL Server Scheduling Agent or Windows Scheduling Tasks, but not used to crontab structure, the PgAdmin III Job Agent interface to PgAgent should look very welcoming, but the schedule tab may look a little unfamiliar.

PgAgent can run both PostgreSQL stored functions and sql statements as well as OS shell commands and batch tasks.

MySQL and Sun?

We just read that Sun is purchasing MySQL for a little under a billion. We are a little shocked and not quite sure what to make of it or how this affects Sun's investment in PostgreSQL. Further comments on the deal on Jignesh Shah's blog and Josh Berkus blogs. Jignesh and Josh both work at Sun and do PostgreSQL work as well.

Couple of random thoughts

• First, better Sun than Oracle. The thought of Oracle eating up MySQL has always been rather disturbing to us especially since we do a fair amount of MySQL consulting and don't care much for Oracle as a company. I suppose it could still happen.
• Given the fact that Sun is a large contributor to the PostgreSQL project, does this mean PostgreSQL fans can't make fun of MySQL anymore? Are we like friends now? This could take away some fun and add a little fun at the same time.
• Will this mean MySQL will have no qualms of using PostgreSQL underlying storage engine and what would it be called? - MyPost

Overall we think the move should prove positive for both camps.

PostgreSQL 8.3 really around the corner

8.3 is now on release candidate 8.3 RC1 and as Bruce Momjian noted, it looks like there might be an RC2.

We've been playing around with the 8.3 betas and RCs and really like the integrated Full Text Indexing and XML features. The new features make it possible to do a quickie REST service-based application. In the next issue of this journal, we hope to demonstrate creating REST services using 8.3 with server side - (PHP and/or ASP.NET) and front-end Adobe FLEX. We would have liked to demonstrate SilverLight/MoonLight as well, but we want to wait till Silverlight 2.0 hits release. We'll try to use the Pagila demo database for the upcoming demo app as Robert Treat has suggested.

How do you delete duplicate rows in a table and still maintain one copy of the duplicate?

There are a couple of ways of doing this and approaches vary based on how big your table is, whether you have constraints in place, how programming intensive you want to go, whether you have a surrogate key and whether or not you have the luxury of taking a table down. Approaches vary from using subselects, dropping a table and rebuilding using a distinct query from temp table, and using non-set based approaches such as cursors.

The approach we often use is this one:

DELETE
FROM 	sometable
WHERE 	someuniquekey NOT IN
	(SELECT 	MAX(dup.someuniquekey)
        FROM   		sometable As dup
        GROUP BY 	dup.dupcolumn1, dup.dupcolumn2, dup.dupcolum3)

Question: What is the answer to SELECT 3/2?

Answer: In integer math, it is 1. A lot of people especially those coming from MySQL or MS Access backgrounds are surprised to find out that in PostgreSQL 3/2 = 1. They view this as some sort of bug.

In actuality, the fact that 3/2 = 1 and 1/3 = 0 is part of the ANSI/ISO-SQL standard that states mathematical operations between two values must be of the same data type of one of the values (not necessarily the same scale and precision though). This is not some idiosyncracy specific to PostgreSQL. If you try the same operation in SQL Server, SQLite,FireBird, and some other ANSI/ISO SQL compliant databases, you will get the same results. So it seems MySQL and MS Access are the odd-balls in this arena, but arguably more practical.