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Suppose you need to insert data from the source table into several target tables. Additionally, you want this loading to be based on various conditions: if condition A, then load into table X; if condition B, then load into table Y; and so on. Normally, you re forced to write several INSERT statements for inserting from the source into the target tables. If the data were very large, this would slow down the data loading. Alternatively, you could write PL/SQL-based code to do the same thing, but that would also slow down the process. A type of SQL statement called a multitable insert enables you to do fast conditional loads of data from one source into multiple tables simultaneously. Because it s still a normal SQL statement, you can parallelize the operation to make the operation even faster. Multitable inserts can be either unconditional or conditional. You can also have a multitable insert that is a mix of conditional and



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unconditional inserts. The structure of the multitable insert varies depending on whether all or only some of the source table s rows are being loaded into the target tables.





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What it does is give you the opportunity to intelligently organize the timeline so the movie starts playing in very short order Used wisely, streaming can ensure that everything in the Flash movie is downloaded before it is needed The result is a Flash movie that seems to start playing almost immediately and moves as smooth as the hair on a frog s back So, what happens when a web page requests your movie Two things are sent to the browser: The movie s timeline, including ActionScript and the stuff that is not in the Library, such as text and shapes that haven t been converted to symbols The Library, including audio, video, images, and symbols When your Flash movie is shot through the Internet to the user s browser, the movie is received in frameby-frame order.

The performance gain from using a multitable insert is directly proportional to the complexity of the data and the number of target tables. Oracle claims that you can achieve a processing speed gain of 400 percent or more.

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When you load all rows of a table, you can use either an unconditional all row insert or a conditional all row insert. In the following example, the source table is called sales_activity, whose data is loaded at the same time into two destination tables: sales and cost. The unconditional insert uses the keywords INSERT ALL, meaning that all the source rows (sales_activity) are loaded into the sales and cost tables. SQL> INSERT ALL INTO target1 VALUES (product_id, customer_id, sysdate, product_quantity) INTO target2 VALUES (product_id,sysdate,product_price,product_discount) SELECT s.product_id, s.customer_id, sysdate, s.product_quantity, s.product_price, s.product_discount FROM source s; After the INSERT ALL keywords, there are two INTO statements, each denoting an insert into a separate table. Notice that the SELECT statement contains all the necessary columns required by both INTO statements for inserting into the two tables. The conditional insert of all rows from the source table is similar to the unconditional version, except that the keyword WHEN indicates the conditions under which the inserts will be made. The following example shows how to perform a conditional all-row insert: SQL> INSERT ALL WHEN product_id IN(SELECT product_id FROM primary) THEN INTO target1 VALUES (product_id, customer_id, sysdate, product_quantity) WHEN product_id IN (SELECT product_id FROM secondary) THEN INTO target2 VALUES (product_id, sysdate, product_price, product_discount) SELECT s.product_id, s.customer_id, sysdate, s.product_quantity, s.product_price, s.product_discount FROM source s; This example still inserts all the rows from sales_data, because it uses the key phrase INSERT ALL.

If the movie is split into scenes (a relatively rare practice today), the scenes will be sent in the order they appear in the Scenes panel, which is effectively in sequential order of the main timeline The Library is also sent, but the Library items are not received in the order they appear in the Library panel They are received in the sequence in which they appear on the timeline To reinforce what we have just said, let s take a look at a typical file Open the YawningParrotfla file in the Exercise folder for this chapter As shown in Figure 15-3, the timeline is linear, but there are a lot of layers Your first reaction might be, Man, that is going to take a while to load But that s not really the case Open the Library panel.

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