Updating a blog on the iseries

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The product enables users to join multiple database files, select data by record range, and specify field selection, DRV says."Optimum Solutions successfully uses both Web Smart and Pro Gen Plus in the development of Optimum Solutions Payroll, Human Resources, and Applicant Tracking applications.For small numbers of rows requiring updates, it can be adequate to use an UPDATE statement for each row that requires an update.But if there are a large number of rows that require an update, then the overhead of issuing large numbers of UPDATE statements can result in the operation as a whole taking a long time to complete.The apps were unveiled as part of a major update to DRV’s Flex Tool suite.In July, DRV unveiled Flex Tool version 6, which includes new releases of the Spool Flex, Form Flex, Secure Checks, DBXFlex (formerly Data Flex), and Message Flex components. DRVTech Delivers Report Writer with Flex Tools V5 May 15, 2012 IBM i shops that use DRV Technologies’ Flex Tools software to manage their spool files now have the option to use the new Data Flex component to generate reports from their data.Pro Gen Plus combines the ease of use of template-based program design with the power of business and data modelling features to give you the most productive and flexible environment for building robust 5250-based business applications.Pro Gen Plus is a five time award winner including the Showcase Product Excellence award for the best i Series - AS/400 Program Generator and Report Writer in the industry!

Data Flex offers IBM i shops another way to query their DB2/400 data and generate basic reports from that data.A more effective solution to this problem is to attempt to reduce the number of UPDATE statements.Let us start with a simple table: UPDATE staff SET salary = 1200 WHERE name = ' Bob'; UPDATE staff SET salary = 1200 WHERE name = ' Jane'; UPDATE staff SET salary = 1200 WHERE name = ' Frank'; UPDATE staff SET salary = 1200 WHERE name = ' Susan'; UPDATE staff SET salary = 1200 WHERE name = ' John'; UPDATE staff SET salary = 1200 WHERE name = ' Bob'; UPDATE staff SET salary = 1250 WHERE name = ' Jane'; UPDATE staff SET salary = 1200 WHERE name = ' Frank'; UPDATE staff SET salary = 1250 WHERE name = ' Susan'; UPDATE staff SET salary = 1200 WHERE name = ' John'; We are no longer setting all the salary fields to the same value, so we can’t collapse it into a single statement.(Be sure to replace DATADICTIONARY with your actual dictionary name).Depending on the age and overall usage of your data dictionary, you will most likely see more than a single journal receiver (In our case, QSSQJRN0001) — this is perfectly normal.

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