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public void createPdf(String filename) throws IOException, DocumentException, SQLException { Document document = new Document(); PdfCopy copy = new PdfCopy( Step 2 document, new FileOutputStream(filename)); document.open(); Step 3 addDataSheets(copy); Step 4 document.close(); Step 5 }

public void addDataSheets(PdfCopy copy) throws SQLException, IOException, DocumentException { DatabaseConnection connection = new HsqldbConnection("filmfestival"); List<Movie> movies = PojoFactory.getMovies(connection); PdfReader reader; PdfStamper stamper; ByteArrayOutputStream baos; for (Movie movie : movies) { reader = new PdfReader(DATASHEET); baos = new ByteArrayOutputStream(); stamper = new PdfStamper(reader, baos); Creates single fill(stamper.getAcroFields(), movie); page in memory stamper.setFormFlattening(true); stamper.close(); reader = new PdfReader(baos.toByteArray()); copy.addPage(copy.getImportedPage(reader, 1)); } connection.close(); }

1. Load pgAdmin III, and connect to the hatshop database. 2. Click Tools Query tool (or click the SQL button on the toolbar). A new query window should appear. 3. Use the query tool to execute this code, which creates the product_recommendation type and the catalog_get_recommendations function in your hatshop database: -- Create product_recommendation type CREATE TYPE product_recommendation AS ( product_id INTEGER, name VARCHAR(50), description VARCHAR(1000) ); -- Create catalog_get_recommend+ations function CREATE FUNCTION catalog_get_recommendations(INTEGER, INTEGER) RETURNS SETOF product_recommendation LANGUAGE plpgsql AS $$ DECLARE inProductId ALIAS FOR $1; inShortProductDescriptionLength ALIAS FOR $2; outProductRecommendationRow product_recommendation; BEGIN FOR outProductRecommendationRow IN SELECT product_id, name, description FROM product WHERE product_id IN (SELECT od2.product_id FROM order_detail od1 JOIN order_detail od2 ON od1.order_id = od2.order_id WHERE od1.product_id = inProductId AND od2.product_id != inProductId GROUP BY od2.product_id ORDER BY COUNT(od2.product_id) DESC LIMIT 5) LOOP

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This example works perfectly, and at first sight you won t find anything wrong with the resulting PDF when you open it in Adobe Reader. Only when you look at the file size will you have doubts. The original datasheet.pdf was less than 60 KB, but the resulting PDF is almost 5 MB. This document has 120 pages that are almost identical. Only the specific movie information differs from page to page; the form template is repeated over and over again. But PdfCopy isn t aware of that: it takes every page you add, including its resources, and copies everything to the writer. The code in listing 6.24 adds the same bits and bytes representing the original form to the same document 120 times. The resulting PDF is full of redundant information. This can be avoided by using PdfSmartCopy instead of PdfCopy in step 2.

Figure 7-19. Pivot table from Access query 5. Now that you have completed the pivot table for the shipping manager, save the file as ShipmentPivot.xlsx. In this example, the file was saved in the c:\Data folder.

IF char_length(outProductRecommendationRow.description) > inShortProductDescriptionLength THEN outProductRecommendationRow.description := substring(outProductRecommendationRow.description, 1, inShortProductDescriptionLength) || '...'; END IF; RETURN NEXT outProductRecommendationRow; END LOOP; END; $$;

public void createPdf(String filename) throws IOException, DocumentException, SQLException { Document document = new Document();

PdfSmartCopy copy = new PdfSmartCopy( document, new FileOutputStream(filename)); document.open(); addDataSheets(copy); Step 4 document.close(); Step 5 }

Because SQL is so versatile, catalog_get_recommendations can be written in a variety of ways. In our case, one popular alternative to using table joins is using subqueries. Here s a version of catalog_get_recommendations that uses subqueries instead of joins. The commented code is self-explanatory: -- Create catalog_get_recommendations function CREATE OR REPLACE FUNCTION catalog_get_recommendations(INTEGER, INTEGER) RETURNS SETOF product_recommendation LANGUAGE plpgsql AS $$ DECLARE inProductId ALIAS FOR $1; inShortProductDescriptionLength ALIAS FOR $2; outProductRecommendationRow product_recommendation; BEGIN FOR outProductRecommendationRow IN -- Returns the product recommendations SELECT product_id, name, description FROM product WHERE product_id IN (-- Returns the products that were ordered -- together with inProductId SELECT product_id FROM order_detail WHERE order_id IN (-- Returns the orders that contain inProductId SELECT DISTINCT order_id FROM order_detail WHERE product_id = inProductId LIMIT 5) -- Must not include products that already -- exist in the visitor's cart AND product_id != inProductId -- Group the product_id so we can calculate the rank GROUP BY product_id

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