Recital is a dynamic programming language with an integrated high performance database particularly well suited for the development and deployment of high transaction throughput applications.  Recital 10 further enhances Recital with extensive features and functionality to facilitate its use in fault tolerant high availability systems. Much of the development of Recital 10 was concentrated on performance optimizations and cluster aware functionality to provide an application platform that can be scaled as needed without any application changes. 

Key features of Recital 10 include:

• Cluster aware database engine that works transparently with drbd, heartbeat, glusterfs and samba
• High degree of fault tolerance with self healing indexes
• Massive performance improvements 
• Extensive internals overall and modernization with superior object-oriented capabilities
• Chronological data versioning with database timelines
• SmartQuery caching
• Database Administration Tools
• Code and Data Profiling
• Better integration with unix/linux command shell
• Incorporates a range of new built-in functions compatible with those in the PHP core libraries
• Built-in support for outputting data in HTML, XML, and JSON format
• Seamless SQL command integration into the Recital scripting language
• Much improved Microsoft FoxPRO language compatibility
• Numerous extensions and improvements (see below for details)
• Very large file support (2^63)

When using Eclipse CDT on Fedora 7 I was unable to build anything from inside Eclipse Ganymede.

The PHP ODBC functions can be used to access Recital data via the Recital Universal ODBC Driver.

The following example connects to a Recital ODBC datasource, executes a query then outputs all the results from the resultset.

<?php
$sql = "select country from customers limit 10";
$conn = odbc_connect('Recital ODBC test', '?', '?');
$rs = odbc_exec($conn, $sql);
odbc_result_all($rs);
odbc_close($conn);
?>

Output:

<table><tr><th>Country</th></tr>
<tr><td>Germany        </td></tr>
<tr><td>Mexico         </td></tr>
<tr><td>Mexico         </td></tr>
<tr><td>UK             </td></tr>
<tr><td>Sweden         </td></tr>
<tr><td>Germany        </td></tr>
<tr><td>France         </td></tr>
<tr><td>Spain          </td></tr>
<tr><td>France         </td></tr>
<tr><td>Canada         </td></tr>
</table>

For information on installing and configuring the Recital Universal ODBC Driver and creating and modifying datasources, please see the Documentation section of this web site.

Note: Use of ? for the username and password on the local server is dependent on DB_LOCAL_LOGIN being enabled.

Each Recital table can have one or more data dictionaries to provide a central repository for constraints and other metadata. 

Here's how to set up field validation based on dynamic values from another table.

Using the products.dbf table from the southwind sample database, validation can be added to the categoryid field to ensure it matches an existing categoryid from the categories.dbf table.

open database southwind
alter table products add constraint;
 (categoryid set check rlookup(products.categoryid,categories))

The rlookup() function checks whether an expression exists in the index (master or specified) of the specified table .  An attempt to update categoryid with a value not in the list will give an error: Validation on field 'CATEGORYID' failed.

If you have access to the Recital Workbench, you can use the modify structure worksurface to add and alter your dictionary entries, including a customized error message if required.