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If you have a keen eye, you will find interesting differences between this plan and the previous one, even though the query remained the same and only the data density changed . This plan executes the Index Seek and Stream Aggregate operations here only 14 times once for each unique app, ts value, and not once for each row in the table as might happen in production . You can see this in the tooltip box for the operators in the Number of Executions measure . The distinct results are stored in a temporary table (Table Spool operator) . This plan reuses (rewinds) instead of recalculating (rebinding) row counts that were already calculated for a given app, ts . Again, you see how a bad choice of sample data can yield a result that is not representative of your production environment . Using this sample data and being oblivious to the discrepancy might lead you to believe that this set-based solution scales linearly . But of course, if you use more realistic sample data, such as the data I used in my benchmark, you won t fall into that trap . I used random calculations for the start times within the month and added a random value of up to 20 minutes for the end time, assuming that this represents the average session duration in my production environment . vb.net upc-a reader VB . NET UPC-A Barcode Reader SDK - Decode & Scan UPC-A ...
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NET UPC-A Generator, Creating and Adding UPC-A in VB . NET , ASP.NET Web Forms and Windows Forms applications, with detailed Developer Guide. The algorithms for the solutions that I have discussed so far, both set-based and cursor-based, had simple to moderate complexity levels . This section covers a class of problems that are algorithmically much more complex, known as matching problems . In a matching problem, you have a specific set of items of different values and volumes and one container of a given size, and you must find the subset of items with the greatest possible value that will fit into the container . I have yet to find reasonable set-based solutions that are nearly as good as cursor-based solutions, both in terms of performance and simplicity . I ll introduce a couple of simple variations of the problem . You re given the tables Events and Rooms, which you create and populate by running the following code: USE tempdb; IF OBJECT_ID('dbo.Events', 'U') IS NOT NULL DROP TABLE dbo.Events; IF OBJECT_ID('dbo.Rooms', 'U') IS NOT NULL DROP TABLE dbo.Rooms; GO CREATE TABLE dbo.Rooms vb.net upc-a reader UPC-A VB . NET DLL - Create UPC-A barcodes in VB . NET with valid ...
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RasterEdge . NET Image SDK contains a barcode reading plug-in library which can efficiently add UPC-A barcode scanning & detecting ability into your VB . ( roomid VARCHAR(10) NOT NULL PRIMARY KEY, seats INT NOT NULL ); INSERT INTO dbo.Rooms(roomid, seats) VALUES ('C001', 2000), ('B101', 1500), ('B102', 100), ('R103', 40), ('R104', 40), ('B201', 1000), ('R202', 100), ('R203', 50), ('B301', 600), ('R302', 55), ('R303', 55); CREATE TABLE dbo.Events ( eventid INT NOT NULL PRIMARY KEY, eventdesc VARCHAR(25) NOT NULL, attendees INT NOT NULL ); INSERT INTO dbo.Events(eventid, eventdesc, attendees) VALUES (1, 'Adv T-SQL Seminar', 203), (2, 'Logic Seminar', 48), (3, 'DBA Seminar', 212), (4, 'XML Seminar', 98), (5, 'Security Seminar', 892), (6, 'Modeling Seminar', 48); CREATE UNIQUE INDEX idx_att_eid_edesc ON dbo.Events(attendees, eventid, eventdesc); CREATE UNIQUE INDEX idx_seats_rid ON dbo.Rooms(seats, roomid); The Events table holds information for seminars that you re supposed to run on a given date . Typically, you will need to keep track of events on many dates, but our task here will be one that we would have to perform separately for each day of scheduled events . Assume that this data represents one day s worth of events; for simplicity s sake, I didn t include a date column because all its values would be the same . The Rooms table holds room capacity information . To start with a simple task, assume that you have reserved a conference center with the guarantee that enough rooms will be available to host all your seminars . You now need to match events to rooms with as few empty seats as possible, because the cost of renting a room is determined by the room s seating capacity, not by the number of seminar attendees . A na ve algorithm that you can apply is somewhat similar to a merge join algorithm that the optimizer uses to process joins . Figure 8-6 has a graphical depiction of it, which you might View detailed information about a specific machine Contact manufacturer and update machine support information find handy when following the verbal description of the algorithm . The following code implements this algorithm: 802.11b DECLARE @roomid AS VARCHAR(10), @seats AS INT, @eventid AS INT, @attendees AS INT; DECLARE @Result AS TABLE(roomid VARCHAR(10), eventid INT); vb.net upc-a reader VB . NET UPC-A barcode Generator - ASP.NET Barcode Reader
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