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We have seen in the previous experiment, how we can use electricity, more specifically solar power, to generate hydrogen. We also saw that this hydrogen can be stored for later use. Now, in this part of the experiment, we are going to look at turning this hydrogen into electricity, and what is actually happening. In the hydrogen economy, hydrogen which is generated from surplus, cheap renewable energy, can be distributed through a network of pipes and used to provide power in the home via a small residential generator (which produces useful heat as a byproduct). Additionally, this hydrogen can be used to run motor cars or public transportation systems if stored in tanks on the vehicle. We are now going to see how a fuel cell converts this hydrogen back into electrical power. Figure 17-10 gives a schematic representation of our fuel cell, showing the major parts. If we look at Figure 17-11 we can see hydrogen entering the fuel cell ready to do its thing!

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SELECT EMPL_NUM FROM SALESREPS WHERE REP_OFFICE IN (subquery)

produces a column containing the employee numbers of the salespeople who work in one of the selected offices. Finally, the outermost query:

Thus far we have looked at Data De nition Language (DDL), which is used to create and modify the database objects that hold and organize the data in the database, and Data Query Language (DQL), which is used to select data from the database. This chapter covers Data Manipulation Language (DML), which is the part of SQL that is used to maintain the data that is stored in the database s relational tables. DML is comprised of three SQL commands: INSERT UPDATE Adds new rows to a database table Updates existing database table rows

SELECT COMPANY FROM CUSTOMERS WHERE CUST_REP IN (subquery)

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EMF The Eclipse Modeling Framework (EMF) is a collection of Eclipse plug-ins that BIRT charts use. The required EMF download includes the Service Data ...

finds the customers whose salespeople have one of the selected employee numbers. The same technique used in this three-level query can be used to build queries with four or more levels. The ANSI/ISO SQL standard does not specify a maximum number of nesting levels, but in practice, a query becomes much more time-consuming as the

9:

number of levels increases. The query also becomes more difficult to read, understand, and maintain when it involves more than one or two levels of subqueries. Many SQL implementations restrict the number of subquery levels to a relatively small number.

DELETE Deletes rows from a database table Keep in mind that each individual DML statement can affect data in only one table. It is possible to reference a view in a DML statement, including one that contains data from more than one table (that is, a view that contains a table join), but in that case,

Correlated Subqueries *

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A reaction occurs as a result of the platinum catalyst. The electrons cannot go anywhere, as they cannot penetrate the membrane formed by the MEA, so they go round a circuit because this is the easiest path for them to take. Meanwhile, the protons escape across the membrane. This is illustrated in Figure 17-12. As the electrons travel around the circuit, they do some useful work. For example, in Figure 17-13 they are lighting a bulb.

In concept, SQL performs a subquery over and over again once for each row of the main query. For many subqueries, however, the subquery produces the same results for every row or row group. Here is an example: List the sales offices whose sales are below the average target.

SELECT CITY FROM OFFICES WHERE SALES < (SELECT AVG(TARGET) FROM OFFICES) CITY -------Denver Atlanta RETRIEVING DATA

the DML statement may only reference the columns from one of the tables in the view Said another way, when a DML statement references a view, the view columns referenced in the DML statement must all map to columns of one physical table in the database The DBMS you are using most likely offers some form of transaction support, wherein a series of SQL DML statements can be considered an all or nothing group of statements that must either all be successful or all fail This feature is very useful when SQL statements are used in business transactions and is covered in detail in 9 If you try out any of the statements in this chapter (as I strongly recommend), you can ignore transaction support, unless you are using Oracle With the Oracle database, transaction support is automatically activated when you connect to the database.

In this query, it would be silly to perform the subquery five times (once for each office). The average target doesn t change with each office; it s completely independent of the office currently being tested. As a result, SQL can handle the query by first performing the subquery, yielding the average target ($550,000), and then converting the main query into:

Commercial SQL implementations automatically detect this situation and use this shortcut whenever possible to reduce the amount of processing required by a subquery. However, the shortcut cannot be used if the subquery contains an outer reference, as in this example: List all of the offices whose targets exceed the sum of the quotas of the salespeople who work in them:

WHERE TARGET > (SELECT SUM(QUOTA) FROM SALESREPS WHERE REP_OFFICE = OFFICE) CITY -----------Chicago Los Angeles

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