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We repeatedly find ways of improving our solutions slightly, until it can t get any better You ll see that the idea of canceling is key that we may need to remove parts of a previous solution in order to make it better overall..

priority: priority: priority: priority: priority:

Table 23-1 lists this chapter s source files and their functionality. Table 23-1. Application Instrumentation Source Code Depot

Note I m using the labeling approach due to Ford and Fulkerson for the implementations in this chapter. Another perspective on the search for augmenting paths is that we re traversing a residual network. This idea is explained in the sidebar Residual Networks later in the chapter.

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status:"").save() status:"").save() status:"").save() status:"").save() status:"").save()

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I ve already exposed you to the idea of bipartite matching, both in the form of the grumpy moviegoers in 4 and the stable marriage problem in 7. In general, a matching for a graph is a nodedisjoint subset of the edges. That is, we select some of the edges in such a way that no two edges share a node. This means that each edge matches two pairs hence the name. A special kind of matching applies to bipartite graphs, graphs that can be partitioned into two independent node sets (subgraphs without edges), such as the graph in Figure 10-1. This is exactly the kind of matching we ve been working with in the moviegoer and marriage problems, and it s much easier to deal with than the general kind. When we talk about bipartite matching, we usually want a maximum matching, one that consists of a maximum number of edges. That means that, if possible, we d like a perfect matching, one where all nodes are matched. This is a simple problem, but one that can easily occur in real life. Let s say, for example, you re assigning people to projects, and the graph represents who d like to work on what. A perfect matching would please everyone.1

ApplicationInstrumentation.class ApplicationInstrumentation.java JdbcInstrumentationOracle9i.class JdbcInstrumentationOracle9i.java rsrc mgr.sql

assert 5 == Todo.count() }

from b to f (highlighted)

Java program compiled from source file ApplicationInstrumentation.java Java source file that illustrates Oracle10g JDBC end-toend metrics Java program compiled from source file JdbcInstrumentationOracle9i.java Java source file that demonstrates instrumentation with PL/SQL Anonymous PL/SQL block for setting up resource manager consumer group mapping by service, module, and action

In Listing 4-4, five Todos are saved to the database and the count of the inserted Todos are validated. This currently works because even at this point with no Todo implementation, Todo objects can be saved to the database. However, looking at the database, you should see a record with no name, createdDate, priority, or status, because those properties don t exist yet. The parameterized constructor happily accepts parameters that do not map to properties, so this test passes with no problems. To make the test more valuable, try retrieving at least one of the Todos based on the value of one of its properties, as shown in Listing 4-5.

If you allow them to specify a degree of preference, this turns into the more general min-cost bipartite matching, or the assignment problem. Although a highly useful problem, it s a bit harder to solve I ll get to that later.

SQL trace file contains a precise log of the SQL statements parsed and executed as well as the fetch calls made by a database client. This includes the CPU time and the elapsed (wall clock) time consumed by parse, execute, and fetch operations. Optionally, a SQL trace file includes information on wait events, which are indispensable for an accurate performance diagnosis. Last but not least, actual values for bind variables may also be included, e.g., when the PL/ SQL package DBMS MONITOR is used to enable SQL trace. The SQL trace file format is undocumented, even though the utilities TKPROF and TRCSESS are based on the analysis of SQL trace files. Understanding the format of extended SQL trace files is an essential skill for any DBA who is confronted with performance problems or troubleshooting tasks. Since formatting trace files with TKPROF obscures important information, such as statement hash values, timestamps, recursive call depths, instance service name, module, action, and SQL identifiers (V$SQL.SQL ID),1 it is often mandatory to read and understand the trace files themselves.

void testPersist() { new Todo(name: "1", new Todo(name: "2", new Todo(name: "3", new Todo(name: "4", new Todo(name: "5",

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