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At a high level, the App Engine datastore supports transactions like most relational databases. A transaction consists of one or more database operations that either succeed or fail in entirety. If a transaction succeeds, then all operations are committed to the datastore. However, if one of the operations fails, then all operations are rolled back to their original state. An example method using transactions is shown in Listing 7-3. Listing 7-3. Sample transaction import javax.jdo.Transaction; public void createContact(Contact contact, String accountId) { PersistenceManager pm = PMF.get().getPersistenceManager(); Transaction tx = pm.currentTransaction(); try { // start the transaction tx.begin(); // persist the contact pm.makePersistent(contact); // fetch the parent account Account account = pm.getObjectById(Account.class, accountId); account.incrementContacts(1); pm.makePersistent(account); // commit if no errors tx.commit(); } finally { // roll back the transactions in case of an error if (tx.isActive()) { tx.rollback(); } } }

Figure 3 35. A typical lookup table, organized by student name And it s in the C column, alongside each student grade, in which we ll compose our VLOOKUPs. Click in cell C10 and type: =VLOOKUP(B10,K$10:L$14,2,TRUE)

Perhaps the best way to understand the differences between the RANK and DENSE_RANK functions is to compare them on ranking the same values Let s use the same data source as for the preceding ROW_NUMBER function samples to help you grasp the distinctions between these three functions The following SELECT statement has both the RANK and DENSE_RANK functions in its list The RANK and DENSE_RANK functions have identical syntax, except for the function name Both functions order their ranks by SalesQuota column values from the vSalesPerson view, which has tied column values..

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SELECT FirstName + ' ' + LastName 'Name', SalesYTD, SalesQuota, TerritoryGroup, RANK() OVER(ORDER BY SalesQuota DESC) AS 'Rank', Dense_RANK() OVER(ORDER BY SalesQuota DESC ) AS 'Dense Rank' FROM SalesvSalesPerson The output listing appears next For both functions, the rank values group by SalesQuota column values There are two unique SalesQuota column values of 300,000 and 250,000 besides the null values for Amy Alberts, Stephen Jiang, and Syed Abbas The null values rank lower than any actual assigned SalesQuota column values The unique RANK function column values are 1, 4, and 15 The rank value is 1 for the first three rows with a SalesQuota column value of 300,000, and the rank value is 4 for the first row following the first three; 4 is also the rank for all other rows with a SalesQuota column value of 250,000.

Don t worry we re going to explain all this First note the constant elements we ve spoken about earlier: the equal sign, followed by the function name and an open parenthesis Second, we see that, unlike say, COUNT or AVERAGE, something more than just a range is fitted in between the parentheses Here four different elements or arguments, and we ve spoken about them, too have creeped in there The first in this case B10 names the cell whose grade is going to be looked up and assessed That s John s 66 The second argument K$10:L$14 pinpoints our lookup range itself, and yes, it s accompanied by those dollar signs, slipped in before the 10 and the 14 the row segments of two cell addresses.

The rank for the last three rows with a NULL SalesQuota column value is 15 The unique DENSE_RANK function values are 1, 2, and 3 Notice that the DENSE_RANK function values increase based on the preceding unique rank values instead of the number of previously ranked rows In addition, the DENSE_RANK function results in more intuitive values because it assigns a rank of 2, instead of 4, to all the rows that are tied for second place The DENSE_RANK function applies the same type of meaningful value, 3, to those that tie for third place Name -----------------------Michael Blythe Tsvi Reiter Tete Mensa-Annan Jae Pak Ranjit Varkey Chudukatil Rachel Valdez Lynn Tsoflias Pamela Ansman-Wolfe Shu Ito Jos Saraiva David Campbell Linda Mitchell Jillian Carson Garrett Vargas Amy Alberts Stephen Jiang Syed Abbas SalesYTD -----------45570450459 28110127151 19316201835 50156823752 3827950238 22412040424 1758385926 000 3018725.

4858 31893562465 35873784257 52004752313 38571636332 17649389859 636440251 6775584653 2190888836 SalesQuota ---------30000000 30000000 30000000 25000000 25000000 25000000 25000000 25000000 25000000 25000000 25000000 25000000 25000000 25000000 NULL NULL NULL TerritoryGroup -------------North America North America North America Europe Europe Europe Pacific North America North America North America North America North America North America North America NULL NULL NULL Rank ---1 1 1 4 4 4 4 4 4 4 4 4 4 4 15 15 15 Dense Rank ---------1 1 1 2 2 2 2 2 2 2 2 2 2 2 3 3 3.

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