Getting Started with IBM Data Studio for DB2

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294 Getting Started with IBM Data Studio for DB2 PRODUCT_CATALOG This procedure is defined under theGOSALES schema. It returns a result set containing all products from the catalog for a given product type. Using the information you learned in Chapter 8, create the following procedure (you can cut and paste the text below into the SQL procedure editor). Be sure to deploy it into theGOSALES schema. CREATE PROCEDURE GOSALES.PRODUCT_CATALOG (IN PRODUCT_TYPE VARCHAR(50)) DYNAMIC RESULT SETS 1 SPECIFIC GOSALES.PRODUCT_CATALOG ------------------------------------------------------------------------ -- SQL Stored Procedure ------------------------------------------------------------------------ P1: BEGIN -- Declare cursor DECLARE CURSOR1 CURSOR WITH RETURN FOR SELECT P.PRODUCT_NUMBER, Q.PRODUCT_NAME, Q.PRODUCT_DESCRIPTION, P.PRODUCTION_COST, P.PRODUCT_IMAGE FROM GOSALES.PRODUCT AS P, GOSALES.PRODUCT_NAME_LOOKUP AS Q, GOSALES.PRODUCT_TYPE AS R WHERE P.PRODUCT_NUMBER = Q.PRODUCT_NUMBER AND Q.PRODUCT_LANGUAGE = 'EN' AND R.PRODUCT_TYPE_CODE = P.PRODUCT_TYPE_CODE AND R.PRODUCT_TYPE_EN = PRODUCT_TYPE; -- Cursor left open for client application OPEN CURSOR1; END P1 Listing 10.2 – PRODUCT_CATALOG procedure 10.5.2 SQL statements used in the web service We use two SQL statements for our web service: GetBestSellingProductsByMonth RankEmployee. GetBestSellingProductsByMonth The SQL statement shown in Listing 10.3 returns the top 50 products by shipping numbers for the given month. Using the information in Chapter 5, create a new SQL script with the nameGetBestSellingProductsByMonth and copy the below statement into that script. SELECT PN.PRODUCT_NAME, PB.PRODUCT_BRAND_EN, SUM(IL.QUANTITY_SHIPPED) AS NUMBERS_SHIPPED, PN.PRODUCT_DESCRIPTION FROM GOSALES.INVENTORY_LEVELS AS IL, GOSALES.PRODUCT AS P, GOSALES.PRODUCT_NAME_LOOKUP AS PN, GOSALES.PRODUCT_BRAND AS PB WHERE IL.PRODUCT_NUMBER = PN.PRODUCT_NUMBER AND IL.PRODUCT_NUMBER = P.PRODUCT_NUMBER AND P.PRODUCT_BRAND_CODE = PB.PRODUCT_BRAND_CODE
Chapter 10 – Developing data web services 295 AND IL.INVENTORY_MONTH=:MONTH AND PN.PRODUCT_LANGUAGE = 'EN' GROUP BY PN.PRODUCT_NAME, IL.INVENTORY_MONTH, PB.PRODUCT_BRAND_EN, PN.PRODUCT_NAME, PN.PRODUCT_DESCRIPTION ORDER BY NUMBERS_SHIPPED DESC FETCH FIRST 50 ROWS ONLY Listing 10.3 – SQL SELECT for the GetBestSellingProductsByMonth operation Note: You can define parameter markers in two ways – via the question mark notation (a = ?) or via a named marker using the colon (a = :) notation. For web services both notations work, but the named parameter markers are preferable since the names will be used for the input parameter names of the resulting web service operation. If question mark notation is used the parameter names are just a sequence of p1, p2, …, pN. We use the named parameter marker notation in our statement for this reason. RankEmployee This statement inserts a new ranking record for a given employee number and an English ranking value term into the RANKING_RESULTS table of the GOSALESHR schema and returns the new row. Create a new SQL script named RankEmployee, and add the statement text as shown in Listing 10.4. SELECT * FROM FINAL TABLE ( INSERT INTO GOSALESHR.RANKING_RESULTS ( RANKING_DATE, RANKING_YEAR, EMPLOYEE_CODE, RANKING_CODE) VALUES (CURRENT TIMESTAMP, YEAR(CURRENT TIMESTAMP), :EMPLOYEE_CODE, (SELECT RANKING_CODE FROM GOSALESHR.RANKING WHERE UPPER(RANKING_DESCRIPTION_EN) = UPPER(LTRIM(RTRIM(CAST(:RANKING AS VARCHAR(90)))))))) Listing 10.4 – SQL INSERT for the RankEmpoyee operation 10.6 Create a new web service in the Data Project Explorer At this point you should have all the pieces together to start creating your web service. The following steps show how to create the web service. 1. If you’re not there already, switch to the Data perspective. Right-click on the Web Services folder in your data development project and select New Web Service… as
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3 Notices This information was deve
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Table of contents 5 Table of conten
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3.3.1 Exporting data...............
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Chapter 7 - Tuning queries ........
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11.4 Community and resources ......
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Preface 13 Keeping your skills curr
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around the world have participated
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17 About the authors Dimple Bhatia
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Contributors 19 The following peopl
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21 Acknowledgements The authors owe
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24 Getting Started with IBM Data St
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100 Getting Started with IBM Data S
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103 Chapter 3 - Maintaining the dat
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159 Chapter 5 - Creating SQL and XQ
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Chapter 5 - Creating SQL and XQuery
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On Success On Error Result Chapter
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193 Chapter 6 - Managing jobs Job m
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Chapter 6 - Managing jobs 195 6.3 J
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Chapter 6 - Managing jobs 197 6.4 C
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Chapter 6 - Managing jobs 207 6.5 R
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Chapter 6 - Managing jobs 209 6.6.2
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213 Chapter 7 - Tuning queries In t
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7.4.2 Run the Statistics Advisor an
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Chapter 7 - Tuning queries 227 For
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Chapter 7 - Tuning queries 233 3. O
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Chapter 7 - Tuning queries 235 7.6
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237 Chapter 8 - Developing SQL stor
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355 Appendix D - The Sample Outdoor
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Appendix E - Advanced topics for de
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E.5.4 Data web services artifacts A
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References 391 References [1] HAYES
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References 393 Books and articles 1
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396 Getting started with IBM Data S
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