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sqlite3_prepare_v2() compiles the first SQL statement in the zSQL string (which can contain multiple SQL statements). It allocates all the resources necessary to execute the statement and associates it along with the byte code into a single statement handle (also referred to as simply a statement), designated by the out parameter ppStmt, which is a sqlite3_stmt structure. From the programmer s perspective, this structure is little more than an opaque handle used to execute a SQL statement and obtain its associated records. However, this data structure contains the command s byte

This chapter differs from others in this book in terms of its style and format Indexing is a huge topic you could write an entire book on the subject in part because indexing bridges the developer and DBA roles The developer must be aware of indexes, how indexes apply to their applications, when to use indexes (and when not to use them), and so on The DBA is concerned with the growth of an index, the use of storage within an index, and other physical properties We will be tackling indexes mainly from the standpoint of their practical use in applications The first half of this chapter conveys the basic knowledge I believe you need to make intelligent choices about when to index and what type of index to use The second half of the chapter answers some of the most frequently asked questions about indexes.

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The various examples in this chapter require different feature releases of Oracle When a specific example requires features found in Oracle Enterprise or Personal Edition but not Standard Edition, I ll specify that..

Oracle provides many different types of indexes for us to use. Briefly, they are as follows: B*Tree indexes: These are what I refer to as conventional indexes. They are, by far, the most common indexes in use in Oracle and most other databases. Similar in construct to a binary tree, B*Tree indexes provide fast access, by key, to an individual row or range of rows, normally requiring few reads to find the correct row. It is important to note, however, that the B in B*Tree does not stand for

You have a calculated field that calculates a bonus based on each product s orders: =IF(Units>100,Total*5%,0) You assume the grand total would be a sum of the bonus amounts, but it performs the same bonus calculation in the grand total row, creating the wrong total. The example shown is from the OrderStatus.xlsx workbook.

code, bound parameters, B-tree cursors, execution context, and any other data sqlite3_step() needs to manage the state of the query during execution. sqlite3_prepare_v2() does not affect the connection or database in any way. It does not start a transaction or get a lock. It works directly with the compiler, which simply prepares the query for execution. Statement handles are highly dependent on the database schema with which they were compiled. If another connection alters the database schema, between the time you prepare a statement and the time you actually run it, your prepared statement will expire. However, sqlite3_prepare_v2() is built to automatically attempt to recompile (re-prepare) your statement if possible and will do this silently if a schema change has invalidated your existing statement. If the schema has changed in such a way as to make recompilation impossible, your call to sqlite3_step() with the statement will lead to a SQLITE_SCHEMA error, which is discussed later in the section Errors and the Unexpected. At this point, you would need to examine the error associated with SQLITE_SCHEMA by using the sqlite3_errmsg() function.

binary but rather for balanced A B*Tree index is not a binary tree at all, as we ll see when we look at how one is physically stored on disk The B*Tree index has several subtypes: Index organized tables: These are tables stored in a B*Tree structure Whereas rows of data in a heap table are stored in an unorganized fashion (data goes wherever there is available space), data in an IOT is stored and sorted by primary key IOTs behave just like regular tables as far as your application is concerned; you use SQL to access them as normal IOTs are especially useful for information retrieval, spatial, and OLAP applications We discussed IOTs in some detail in 10 Database Tables B*Tree cluster indexes: These are a slight variation of conventional B*Tree indexes.

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