PostgreSQL 8.0 Released
Christopher Cashell writes "The PostgreSQL project has released version 8.0 of their well known Object-Relational Database. New features include: Win32 Native Server, Savepoints, Point-In-Time Recovery, Tablespaces, and lots more. Downloads are available via bittorrent for Unix/Linux, and the much anticipated Win32 version, or via ftp (use a mirror!)." (Here's the official announcement.)
Great, but why should I use PostgreSQL when I already have a database, you might ask? Here's why.
Hi Folks,
Please take it easy on 'wwwmaster'.
'www' fell over a couple of hours ago, and a couple of mirrors are coming online to round-robin the address.
Can someone please change the the first link ("PostgreSQL project") in the story to point to 'www'?
Thanks.
Goodbye Oracle, hello PostgreSQL. Now I can have a mostly SQL92 compliant database with ACID, transactions and now PITR and tablespaces that I can use on the server and on a win32 desktop.
For those of you wanting a great frontend, try PGAdmin3. It works on Win32 and Linux.
Not only that. Here's the most important link: What's New in 8.0. (To editors: why there are links to torrents, but no link to features?)
Sincerely,
Pan Tarhei Hosé, PhD.
"Homo sum et cogito ergo odi profanum vulgus et libido."
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It's got a long way to go as far as enterprise features.
There is no clustering support in PostgreSQL (and I mean real clustering, not some Java hack where transactions are shipped off to two separate DB servers, both of which don't know they're part of a cluster). This is pretty much a show stopper as far as using PostgreSQL in the company I work for, as high availability is a large concern, and any downtime would be serious.
In previous versions of PostgreSQL, the pg_dump and pg_restore tools were not very good - dumps that included tables or views often would fail on reimport because PostgreSQL wouldn't know the order in which to import everything. You also had to pass in a number of options on the command line just to get a dump that made sense, and large object support was kind of clunky.
That said, I still use PostgreSQL for many many projects and have used PostgreSQL for many years. It's a great product, but it isn't near Oracle in terms of enterprise level features.
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First of all, SQL is supposed to be a sub-language used by other languages to access an RDMS. PL/Perl is a server side procedural language which allows you to write PgSQL functions in Perl. How standard is PL/SQL for Oracle? It's proprietary. In fact, Oracle and MS SQL are not entirely compliant with SQL 92 as they have their own extensions.
Most of your first request is already implemented in PostgreSQL 8. You can combine a hot backup of the files on the filesystem with the WAL-archiver to have the backup feature you want. It is not per tablespace (yet) so you have to backup your entire database.
For the second request, keep a close eye on the mailinglists. Affilias has hired a core developer to make it happen.
The first stage, master-slave replication, has been released in the form of Slony-1. Yes, it is an add on. No, it is not integrated. But you can add Slony-1 to a running system and add slaves without ever taking the master down, and it is backwards compatible so you can even use it to upgrade running 7.3.x installations to PostgreSQL 8.
The second stage, Slony-2, will be a full multi-master replication solution. (I read something about a 'kickoff' meeting today hosted by Affilias.) The goal is to be able to take a single, out of the box installation of PostgreSQL, plug Slony-1 into it, replicate the database to another box and when that box has caught up switch to full multi-master mode under Slony-2.
The code won't fall out of the sky tomorrow, but people are working on it.
In MySQL (with MyISAM tables), the reason things like count(*) are fast is that MyISAM pre-computes those values. It can do this because it locks the table on insert and update. PostgreSQL doesn't lock the table on modifications -- it allows concurrent access via Multi-Version Concurrency Control (MVCC). Basically, each row in the DB has additional information (used internally by PostgreSQL), which stores which transaction created and last modified the row. PG uses this to determine if any given row should be "visible" to the current transaction. Because this informaiton is constantly changing (and varies from transaction to transaction), you can't precompute things like count(*) and sum(*). See http://developer.postgresql.org/pdf/internalpics.p df for more info (start around page 56).
Postgresql is ready to take on the smaller, non-critical databases that oracle used to get. This is significant proportion of the databases out there, and will take revenue away from oracle. (Mysql will actually probably take more revenue away, but it has too many quality problems and functionality gaps to really deserve to.)
But there are many other, more demanding databases that postgresql isn't yet ready for. Oracle, DB2, and even SQL Server 2005 all have very mature & solid: optimizers, replication, partitioning solutions, parallelism, failover/clustering support, etc.
Here are two examples:
Using db2 for example, you can create a view which is automatically populated by the database like a table (MQT). Then any queries against the base tables that could be sped up by hitting this view will be rewritten by the engine to hit the view. Now, this might seem like needless fluff if you're just writing a hobby php app. But if you need to implement a commercial app like SAP with its 6,000 tables - and you have performance issues - you can make adjustments in the database layer this way. Also, if you're provoding adhoc reporting for hundreds of users on a terrabyte of data - this technique can provide *dramatic* performance benefits.
Another example is partitioning. Back to db2 (which I work with the most): you can spread a database across a dozen separate servers using a hashkey. Now, every query will have all dozen servers working independently on its own fraction of the data. On each of those servers, you can then partition again, this time using ranges or values (MDC) - so that data that doesn't apply to a query will be skipped in tablescans of that table. Using these techniques you can get sub-second response to *adhoc* queries against a terrabyte of data - without indexes (notoriously unreliable here).
Lots more examples where the above came from. Sure, you will pay real money for licensing, hardware, and labor to implement these. Then again, the two above features actually save you in hardware costs. Additionally, some problems are big enough that they can easily justify the cost of licensing a product like this. I've seen these techniques used to save companies million, even hundreds of millions of dollars.
Postgres knows how many rows are in the table, but it does not know how many of those you can see. Some of them may be inserted speculatively by another transaction. Postgres needs to go through each row to determine whether or not that row is actually visible to you. It is possible to turn this into an O(1) operation if you're willing to do sufficient work on inserts and deletes. Whether this is a good tradeoff depends on how often you do count(*) compared to how often you do inserts and deletes.
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MySQL can use different "storage engines" for different tables. One of their older (and arguably, more widely deployed) engines in MyISAM, which does table-level locking (their newer engine, InnoDB, does row-level locking). From the MySQL Manual (sec 7.3.1):
and from Section 7.3.2:
This is one of the many problems with MySQL. I agree with you that Oracle (and PostgreSQL) are much better designed.