Firebird Data Wizard 12.6 released

Firebird Data Wizard SQL Maestro Group announces the release of Firebird Data Wizard 12.6, a powerful Windows GUI utility for Firebird data management.

Firebird Data Wizard provides you with a number of easy-to-use wizards to convert any ADO-compatible database to the Firebird database, import data into
Firebird tables, export data from tables, views and queries to most popular file formats as well as generate data-driven ASP.NET pages for your Firebird database.

New version introduces SQL Dump wizard, user-defined data type mappings, auto arranging target tables by dependencies and lots of other new features.

There are also other useful things as well as versions for other DBMS (MySQL, Oracle, SQL Server, DB2, PostgreSQL, etc). Read full press release.

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Dozens of new options for Firebird and .NET Framework

Hey!

If you have ever worked with Firebird or Interbase using the standard .NET provider for OLE DB (System.Data.OleDb), you will have likely encountered issues like this:

  • The necessity to add ALL parameters manually.
  • Even though the OLE DB provider supports parameter generation for commands, the .NET provider doesn’t use it, so you as the programmer must do that work on your own.
  • The lack of support for named parameters. Although they actually exist, using them in reality requires a whole set of complex manipulations (the steps needed to add a parameter to a collection, etc.).
  • The impossibility of using multiple DataReader objects at the same time (Multiple Active Result Sets).
  • No execution of SQL scripts which contain several SQL expressions per command.

This list of difficulties a .NET developer has to deal with is far from complete.

Now it’s all different in a fundamentally new ADO.NET Data Provider for OLE DB

IBProvider Team

Firebird driver

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node-firebird vs node-firebird-libfbclient (pure JavaScript driver vs Firebird library wrapper)

Denys Khanzhiyev (node-firebird-libfbclient creator) wrote on nodejs mailing list:
I must admit your lib is faster than mine (See the response from Henry (node-firebird creator) , it is the result of the firebird library mode of operation : synchronous vs asynchronous mode of nodejs)

Here is code
https://gist.github.com/2854642

here is ab results

node-firebird-libfbclient:

Concurrency Level: 5
Time taken for tests: 3.346934 seconds
Complete requests: 1000
Total transferred: 885000 bytes
HTML transferred: 821000 bytes
Requests per second: 298.78 [#/sec] (mean)
Time per request: 16.735 [ms] (mean)
Time per request: 3.347 [ms] (mean, across all concurrent requests)
Transfer rate: 258.15 [Kbytes/sec] received

node-firebird:

Concurrency Level: 5
Time taken for tests: 2.928723 seconds
Complete requests: 1000
Total transferred: 885000 bytes
HTML transferred: 821000 bytes
Requests per second: 341.45 [#/sec] (mean)
Time per request: 14.644 [ms] (mean)
Time per request: 2.929 [ms] (mean, across all concurrent requests)
Transfer rate: 295.01 [Kbytes/sec] received

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Database Workbench 4.2.4 FREE Lite Editions released

Upscene Productions is proud to announce the next
version of the popular multi-DBMS development tool:

Database Workbench 4.2.4 Pro

The free Lite Editions are now available.

For more information, see here.

Click here for the full list of changes in v4.2.4

Database Workbench supports:
– Borland InterBase
– Firebird
– MS SQL Server/MSDE
– MySQL
– Oracle Database
– Sybase SQL Anywhere
– NexusDB

The Lite Editions are available for:
– InterBase
– Firebird
– MySQL

You like this news? Twitter it! Share it! Blog about it!

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A few words about the shared memory and files

Even if running in the Classic (isolated process) mode, Firebird needs some data to be available to all the running server processes. There are four kinds of information that must be shared:

  • Lock table. It’s the vital part of the lock manager and its primary goal is to synchronize access to various resources that can be read or modified simultaneously.
  • Event table. Every time a posted event is committed, the server needs to find all the subscribers and redirect the event delivery to processes handling the appropriate user connections.
  • Monitoring snapshot. It keeps the latest known state of all the running worker processes and it gets updated once some user connection attempts to access the monitoring tables in a new transaction.
  • Trace configuration. It contains the information required for the worker processes to react on the currently active tracing events and log the appropriate notifications.

Continue reading at Dmitry Yemanov’s blog.

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