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Updates row 1 and puts an exclusive lock on row 1, preventing other updates and reads. Row 1 now has $100.00. Reads row N. Sum = . . . Updates row 342,023 and puts an exclusive lock on this row. Row 342,023 now has $500.00. Tries to read row 342,023 and discovers that it is locked. This session will block and wait for this block to become available. All processing on this query stops. Commits transaction. Reads row 342,023, sees $500.00, and presents a final answer that includes the $400.00 double-counted.



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Using the convenience tags for form elements (available for JSP, Velocity, and FreeMarker) can hide Tip

If you want to find out how many Category entities exist in the system, use COUNT like this:

The first thing to notice is that this other database, upon getting to account 987, will block our query. This session must wait on that row until the transaction holding the exclusive lock

You ve just seen some simple examples of aggregate functions. In the next section you ll learn how to aggregate results based on a path expression. Grouping with GROUP BY and HAVING In an enterprise business application, you may need to group data by some persistence field. Assuming that there is a one-many relationship between User and Category, this query will generate a report that lists the number of Category entities created by each c.user:





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commits. This is one reason why many people have a bad habit of committing every statement, instead of processing well-formed transactions consisting of all of the statements needed to take the database from one consistent state to the next. Updates interfere with reads in most other databases. The really bad news in this scenario is that we are making the end user wait for the wrong answer. We still receive an answer that never existed in the database at any point in time, as with the dirty read, but this time we made the user wait for the wrong answer. In the next section, we ll look at what these other databases need to do to achieve read-consistent, correct results. The important lesson here is that various databases executing in the same, apparently safe isolation level can and will return very different answers under the exact same circumstances. It is important to understand that, in Oracle, non-blocking reads are not had at the expense of correct answers. You can have your cake and eat it too, sometimes.

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As you can see, we have grouped by an associated entity. You can group by a single-value path expression that is either a persistence or an association field. Only aggregate functions are allowed when you perform aggregation using GROUP BY. You can also filter the results of an aggregated query with a HAVING clause. Suppose you want to retrieve only the Users who have created more than five Category entities. Simply modify the previous query as follows:

The goal of REPEATABLE READ is to provide an isolation level that gives consistent, correct answers and prevents lost updates. We ll take a look at examples of both, see what we have to do in Oracle to achieve these goals, and examine what happens in other systems.

SELECT c.user, COUNT(c.categoryId) FROM Category c WHERE c.createDate is BETWEEN :date1 and :date2 GROUP BY c.user HAVING COUNT(c.categoryId) > 5

If we have a REPEATABLE READ isolation, the results from a given query must be consistent with respect to some point in time. Most databases (not Oracle) achieve repeatable reads via the use of row-level shared read locks. A shared read lock prevents other sessions from modifying data that we have read. This, of course, decreases concurrency. Oracle opted for the more concurrent, multi-versioning model to provide read-consistent answers. In Oracle, using multi-versioning, we get an answer that is consistent with respect to the point in time the query began execution. In other databases, using shared read locks, we get an answer that is consistent with respect to the point in time the query completes that is, when we can get the answer at all (more on this in a moment). In a system that employs a shared read lock to provide repeatable reads, we would observe rows in a table getting locked as the query processed them. So, using the earlier example, as our query reads the ACCOUNTS table, it would leave shared read locks on each row, as shown in Table 7-5. Table 7-5. Timeline 1 in Non-Oracle Database Using READ REPEATABLE Isolation

A WHERE clause in a query containing both the GROUP BY and HAVING clauses results in multistage processing. First, the WHERE clause is applied to filter the results. Then, the results are aggregated based on the GROUP BY clause. Finally, the HAVING clause is applied to filter the aggregated result.

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Jun 24, 2013 · Important: This will not work if your application targets 64 bit. It will only work as a 32bit app as the AcroPdf.dll is a 32 bit dll. 1. Create a WPF ...












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