Long_Overdue_selects_with_barcodes

Crystal Templates

These are template files which can be used as the basis for your own reports. The key links between tables are already established allowing you to report on the data you need.
The reports were written under Crystal Reports 2008 and tested against an 851 environment.

You must of course change Set Datasource Location before running these reports. All templates prompt for Institution allowing them to be used in a consortia environment. The loans and reservations (holds) templates also prompt for date ranges in order to limit the volume of data returned.

Please note: The Borrowers (XXX_BORROWERS).rpt is specifically designed for SELMS customers in the UK and even then it cannot be used without amendment. Through Database Expert the SELMS user must replace the KJO_BORROWERS table with their own unique table in the SpydusREP database. All links must therefore be re-established.

adult_fiction_list_greater_5_items._with_author A list of Adult fiction titles where we hold 5 or more items,  added after a certain date

CR_tips2_Formula Tips for using the formula option in Crystal Reports

Serials_issues_by_branch_and_date Before opening this report, set datasource location and change selection parameters for your library.

Funds Overview Report Gives an overview of funds, commitments, expenditure and balance for the current year.(Spydus 8.2) From: Madelon van Zijll de Jong - Hastings Central Library NZ

Create address labels from Community Info database This report is deisgned to produce address labels from the Community Information database. The report uses a simple concatenated field; suburb and postcode have been pasted together as a formula field called SubPost. Two parameter fields have been created to prompt for subjects and council ward codes, and sample subjects and ward codes have been built in to the report for selection. The prompts use "Like" rather than "Equals" to allow for searches on either full or abbreviated strings. Because we note names changes to names of local organisations in the 710 field, we have included a filter on organisation names with text like "*formerly*" to prevent labels based on this note. The formula in the report is : not ({HEADING_1.HEAD} like "*formerly*") and {HEADING.HEAD} like {?string} and {CON.POS} = 1 and {GAN.NOTE} like {?Ward Code} (Spydus 8.2) From: John Ruddle - Monash Public Library VIC