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/** * Usage: * The first method, parse, must be called with a valid logical expression on * input * If it returns zero then it is possible to call the evaluate method with * array of input values as a parameter The evaluate method can be invoked * many times with different input values * The parse method can be called anytime to change logical expression */ public class Circuit { /** Parses logical expression * @param string representation of logical expression * Valid tokens: * Input values are represented by x and number starting from 1 eg: x1 * AND, NOT, OR, and brackets '(',')' can be used * Example of valid expression: x1 AND x2 * @return 0 when input expression is validated and parsed * Return nonzero value otherwise.

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When interpreting each step of the execution plan, each ID in the plan is associated with an operation. The two types of operations that have the biggest impact on performance are: Access Path Join Method

This is a fairly complex topic, but imagine the ability for applications to communicate using Remote Procedure Call (RPC) technologies, that is, for your application to call the method of an object as if it were local to your machine, when in fact it could be halfway across the world! I ll cover this in more detail in 10.

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The access path describes how data is retrieved from the database. Table 19-3 describes the most common execution plan access paths. In general, when a small subset of a table s data is to be retrieved, an index access path should be used. When a large portion of a table s data is returned, a full table scan may be more appropriate.

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*/ public int parse(String expression) { return 0; } /** Evaluate logical expression * @param array of boolean input values Size of array must * correspond to number of variables used in expression * If size of array is bigger then only first N values are used * to evaluate expression Remaining values are ignored * If size of array is smaller then IllegalArgumentException is thrown * If no expression is set by the parse method then * IllegalStateException is thrown */ public boolean evaluate(boolean [] x) { return true; } } The solution focused on specifying the logical formula as a string in the form of x1 AND NOT(x1), parsing it into a representation of the circuit, and then allowing repetitive evaluations with different variables This was a nice and flexible solution It was well documented, unlike some of the other solutions.

All rows from a table are read, which is efficient when large portions of a table s rows need to be read. When only small portions of the table need to be read, an index may be created to eliminate full table scans. Locates a row by ROWID. The ROWID contains the physical location of the row within a datafile and a block, efficient when a relatively small number of rows are retrieved, less efficient when large portion of a table is read. An index contains key values and a ROWID. If the query only needs information contained in the index key values, Oracle returns those values, otherwise it uses the ROWID to retrieve additional data from the table row.

.NET embraces XML at its core, and it s probably no surprise that its adoption and its support within the .NET environment are comprehensive. XML is ubiquitous within not only the world of the Internet but also the commercial world. The .NET class libraries provide comprehensive support for XML manipulation; I ll demonstrate how to use them in 9. In addition to the aforementioned elements, .NET provides many other cool features with powerful capabilities, including Web Services, language neutrality, mobile development, and much more.

However, it had one problem: it didn t provide an implementation That was no surprise, because writing an expression parser in an hour isn t a simple task Even Googling for an existing implementation and then implementing it might not be achievable within an hour As a result, this solution could not advance to the next round..

Join methods are techniques the optimizer uses to retrieve data from multiple tables. Join statements result from tables joined in the WHERE clause. Table 19-4 provides an overview of the various join methods. The optimizer must compute the following for each join statement: Access path for returning rows for each table in the join Join method Join order when more than two tables are involved in the join

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