The Portuguese version of my new eBook, Guia de migração para o Firebird 3 (Migration guide to Firebird 3) was just released! The book has tips and explanations to make the life of anyone who wishes to move to Firebird 3 easier.
An English version of the guide will be available in the following weeks at Amazon, both in paperback and digital formats. This is my third book devoted to Firebird, and the first one to be published also in English.
Brazilians can buy the guide right now in the FireBase on-line store.
Carlos H. Cantu
I think might be helpful, today for a customer i do the Haversine formulas for Firebird Sql as a stored procedure.
This formula allow you to calculate the distance in meter between two WGS84 datum points(degree points of Earth).
You can call the procedure like this:
SELECT * FROM HAVERSINE_GENERIC(1, 45,474081, 9,179348, 45,456091, 9)
At the 12th Firebird Developers Day, I talked about Using Firebird in high latency networks (aka. internet). Below are two slides from my presentation, where you can see the improvements in Firebird 3 wire protocol, compared to FB 2.5 and to MySQL.
Obs: Left axis values are expressed in seconds. Test server was hosted in Amazon (USA) and client accessing it was located in Brazil. Ping reported latency of 219ms. The smaller the bar, the better.
Above graph shows the result of fetching 10.000 records from a real table used to store customers data. Red bars represents records with all the fields filled (ie: there was no fields containing nulls) and blue bars represents fetching records where some of the fields were nulls. Tests where done with and without compression.
The same table used in previous graph was created in MySQL InnoDB (same data). Blue bars means that wire compression was disabled, and red has compression enabled. Left side graphs has all fields filled (ie. there wasn’t null fields) and in right side graphs, some records has some null fields.
As you see, FB 3 won 😉
I should mention that there was no blob fields in the table, and this makes a lot of difference. Fetching non-null blobs makes the fetch slower in Firebird (more roundtrips are needed).
PS: The improvements in the FB 3 wire protocol were sponsored by donations collected in the 9th edition of FDD conference, and were implemented by Dmitry Yemanov. Compression was implemented by Alex Peshkov.
Install firebird 2.5.4 x64 with fbclient copy to system dir (checked).
Install rubyinstaller 2.x x64
Download Devkit for ruby 2.x (x64 – 64bits only)
unzip it in C:\rubydevkit
open cmd.exe in start->run
run ruby dk.rb init and ruby dk.rb install to bind it to ruby installations in your path.
Then gem install fb will go without issues after compilation.
After that you can install rails 4.2.x and ActiveRecord Firebird Adapter.
We wrote the new small guide “Using «LCPI ADO.NET Data Provider for OLE DB» with Firebird SQL Server” and offer you acquainted with technological capabilities of our .NET provider.
From this article you can learn, for example:
- How to create multiple transactions within one connection
- How to work with parameters in queries
- How to execute SQL script
Your comments and suggestions are welcome!
In the 9th Firebird Developers Day, we collected donations to sponsor the enhancements of the Firebird wire protocol, to optimize the speed of communication in high latency networks (aka. internet). Dmitry Yemanov implemented the optimizations that were finally available for public testing with the release of the Firebird 3 Beta 1, a few days ago.
So, I decided to test the improvements. I set up a Windows remote server running FB 2.5 and 3.0 (beta1 and beta2), and used a database with a single “customers” table containing real life data (7,000 records and 61 fields). For the tests, I also created a second table with the same data, but in this one, the fields containing nulls were filled with random chars and numbers up to its size limit.
The test itself is very simple: retrieve all the fields from the first 5,000 rows from the tables, using isql (directing ther output to disk, since stdout is too “slow” and affects the results in a bad way), and check the time taken to do the fetchall. Each test was run at last twice (in sequence, filling the cache, etc), and the lowest value obtained was used for the comparison.
You can see the results below, and it is very promising! Thanks Dmitry and also Alex Peshkov (who implemented the zlib compression).
PS: There is one weird case where FB 3 was slower than FB 2.5. I already reported this do Dmitry, and he is investigating.
A full article (in portuguese) about the tests is available at FireBase. Thanks for Fernando Pimenta who “donated” the remote server for my use.
Update: Dmitry just sent me more information about the case where FB 2.5 got better performance than FB 3:
Actually, the problem is in the default batch size, not the new code itself. With all fields filled up to their max length, the protocol message size is quite similar between v2.5 and v3, the difference is less than 5%. But v3 always sends 8 packets at once while v2.5 may send 8 to 16 packets at once, depending on the message size. In your particular case, the batch size should be ~12-13 packets. This explains better performance of v2.5.
I need to find a way to adapt the new batching algorithm to better match the old one in such border cases.
Update 2 (21-jan-15): In a recent email exchange, Dmitry told me that he was able to fix the “problem” causing FB 2.5 to have better performance in that specific single case.
We are pleased to announce the second release candidate of our .NET Data Provider for interaction with Firebird and Interbase via IBProvider. By now, we have implemented all the functionality of System.Data.OleDb.
If you want to transfer your .NET projects for FB/IB to the new level of functionality and quality, we recommend you to start using «LCPI .NET Data Provider for OLE DB».
Just look of this DDEX screenshot:
You can get more screenshots and download Ole Db .Net Provider for access to any Interbase or any Firebird database from ADO.Net here: OleDb .Net driver for Firebird >>>