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Query execution in DBXP is accomplished using the optimized query tree. The tree structure itself is used as a pipeline for processing the query. When a query is executed, a get_next() method is issued on each of the children of the root node. Another get_next() method call is made to each of their children. This process continues as the tree is traversed to the lowest level of the tree containing a reference to a single table. Consider the following query: SELECT col1, col2 FROM table_a JOIN (SELECT col2, col8 FROM table_b WHERE col6 = 7) ON col8 WHERE table_a.col7 > 14 The query is retrieving data from table_a that matches a subset of the data in table_b. Notice that I wrote the subset as a subquery. The query tree execution easily accommodates a subquery mechanism in which a subquery would be represented as a subtree. Figure 12-2 shows a high-level view of the concept. The operation for each node is executed for one row in the relation. Upon completion, the result of that operation passes up the result to the next operation in the tree. If no result is produced, control remains in the current node until a result is produced. As the tree is being climbed back to the root, the results are passed to each parent in turn until the root node is reached. Once the operation in the root node is complete, the resulting tuple is passed to the client. In this way, execution of the query appears to produce results faster because data (results) are shown to the client much earlier than if the query were to be executed for the entire set of operations before any results are given to the client.



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Dec 4, 2017 · Therefore, all you need to do is to find a piece of free OCR software, which ... a scanned PDF or image to an editable text on Windows systems.

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Now that we are working with multiple solutions, the organization of the build area is unsatisfactory since it handles only one solution. The natural progression is to subdivide the build area by solution and then by the conventions we used in 4 (such as the build and output folders). Changes to the core.* properties reflect the addition of the solution name to the folder paths.





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In the context of a database system operating in a client/server model, the database server is responsible for processing the queries presented by the client and returning the results accordingly. This has been termed query shipping, where the query is shipped to the server and a payload (data) is returned. The benefits of query shipping are a reduction of communication time for queries and the ability to exploit server resources rather than using the more limited resources of the client to conduct the query. This model also permits a separation of how the data is stored and retrieved on the server from the way the data is used on the client. In other words, the client/server model supports data independence. Data independence is one of the principal advantages of the relational model introduced by Codd in 1970: the separation of the physical implementation from the logical model. According to Codd,8 Users of large data banks must be protected from having to know how the data is organized in the machine Activities of users at terminals and most application programs should remain unaffected when the internal representation of data is changed. This separation allows a powerful set of logical semantics to be developed, independent of a particular physical implementation. The goal of data independence (called physical data independence by Elmasri and Navathe9), is that each of the logical elements is independent of all of the physical elements (see Table 2-1). For example, the logical layout of the data into relations

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Now that you have seen a particular FSM implementation, you might wonder how to program any FSM you like. I ll explain that after the skeleton code in Listing 3-4. Listing 3-4. General Structure to Implement an FSM task main() { //Initialization of hardware and state variables //main exits, leaving space in scheduler for other tasks } //sensor monitoring tasks task SensorMonitor() { Follows(main); //tells the NXT to execute this task after the main has exited while(true) { //read sensors //modify global variables to make state transitions } } task FSM() { Follows(main); //tells the NXT to execute this task after the main has exited while(true) { switch ( state ) { case STATE_ONE: //actions to be performed in this state //the state transition is made //assigning a new value to the state variable state = ANOTHER_STATE; break; case STATE_TWO: [...] break; case STATE_THREE: [...]

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