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To give us the ability to force like data to be stored physically together based on some cluster key In this fashion, all of the data for department 10 (from many tables) may be stored together..

These features allow us to access related data very quickly with minimal physical I/O. We observed the main differences between index clusters and hash clusters, and we discussed when each would (and would not) be appropriate. Next, we covered nested tables. We reviewed the syntax, semantics, and usage of nested tables. We saw how they are, in fact, a system-generated and maintained parent/child pair of tables, and we discovered how Oracle physically does this for us. We looked at using different table types for nested tables, which by default use a heap-based table. We found that there will probably never be a reason not to use an IOT instead of a heap table for nested tables. Then we looked into the ins and outs of temporary tables, including how to create them, where they get their storage from, and the fact that they introduce no concurrency-related issues at runtime. We explored the differences between session-level and transaction-level temporary tables, and we discussed the appropriate method for using temporary tables in an Oracle database.

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If Forecast and Actual are separate fields in the source data, you can create a calculated field to calculate the percent difference. Use a formula such as =(Actual/Forecast)-1.

Compilation, or preparation, takes a SQL statement and compiles it into byte code readable by the virtual database engine (VDBE). It is performed by sqlite3_prepare_v2(), which is declared as follows: int sqlite3_prepare_v2( sqlite3 *db, const char *zSql, int nBytes, sqlite3_stmt **ppStmt, const char **pzTail ); /* /* /* /* /* Database handle */ SQL text, UTF-8 encoded */ Length of zSql in bytes. */ OUT: Statement handle */ OUT: Pointer to unused portion of zSql */

This chapter finished with a look into the workings of object tables. As with nested tables, we discovered there is a lot going on under the covers with object tables in Oracle. We discussed how object views on top of relational tables can give us the functionality of an object table, while at the same time giving us easy access to the underlying relational data.

Indexing is a crucial aspect of your application design and development Too many indexes and the performance of modifications (inserts, updates, merges, and deletes) will suffer Too few indexes and the performance of DML (including select, inserts, updates, and deletes) will suffer Finding the right mix is critical to your application s performance Frequently, I find that indexes are an afterthought in application development I believe that this is the wrong approach If you understand how the data will be used from the very beginning of the process, you should be able to come up with the representative set of indexes you will use in your application Too often the approach seems to be to throw the application out there and then see where indexes are needed.

This implies that you have not taken the time to understand how the data will be used and how many rows you will ultimately require You ll be adding indexes to this system forever as the volume of data grows over time (ie, you ll perform reactive tuning) You ll have indexes that are redundant and never used; this wastes not only space but also computing resources A few hours at the start spent properly considering when and how to index your data will save you many hours of tuning further down the road (note that I said doing so will, not might, save you many hours) The basic aim of this chapter is to give an overview of the indexes available for use in Oracle and discuss when and where you might use them.

In the ProductSales.xlsx workbook, Forecast and Actual are items in the same field, so you can use the % Difference From custom calculation. In Figure 3-26, Forecast and Actual are items in the Status field, and Sum of Units in the Values area shows the amount for each item. A second copy of the Units field was added to the Values area, and set to show the % Difference From, as described in Section 3.5. For this calculation, Status is the base field, and Forecast is the base item.

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