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They are used to index the cluster keys (see the section Index Clustered Tables in 10) and will not be discussed again in this chapter Rather than having a key that points to a row, as for a conventional B*Tree, a B*Tree cluster has a cluster key that points to the block that contains the rows related to that cluster key Descending indexes: Descending indexes allow for data to be sorted from big-to-small (descending) instead of small-to-big (ascending) in the index structure We ll take a look at why that might be important and how they work Reverse key indexes: These are B*Tree indexes whereby the bytes in the key are reversed Reverse key indexes can be used to obtain a more even distribution of index entries throughout an index that is populated with increasing values.

For example, if I am using a sequence to generate a primary key, the sequence will generate values like 987500, 987501, 987502, and so on These sequence values are monotonic, so if I were using a conventional B*Tree index, they would all tend to go the same right-handside block, thus increasing contention for that block With a reverse key index, Oracle will logically index 205789, 105789, 005789, and so on instead Oracle will reverse the bytes of the data to be stored before placing them in the index, so values that would have been next to each other in the index before the byte reversal will instead be far apart This reversing of the bytes spreads out the inserts into the index over many blocks..

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Once you prepare the query, the next step is to execute it using sqlite3_step(), declared as follows: int sqlite3_step(sqlite3_stmt *pStmt); sqlite3_step() takes the statement handle and talks directly to the VDBE, which steps through its byte-code instructions one by one to carry out the SQL statement. On the first call to sqlite3_step(), the VDBE obtains the requisite database lock needed to perform the command. If it can t get the lock, sqlite3_step() will return SQLITE_BUSY, if there is no busy handler installed. If one is installed, it will call that handler instead. For SQL statements that don t return data, the first call to sqlite3_step() executes the command in its entirety, returning a result code indicating the outcome. For SQL statements that do return data, such as select, the first call to sqlite3_step() positions the statement s B-tree cursor on the first record. Subsequent calls to sqlite3_step() position the cursor on subsequent records in the result set. sqlite3_step() returns SQLITE_ROW for each record in the set until it reaches the end, whereupon it returns SQLITE_DONE, indicating that the cursor has reached the end of the set.

The grand total for a calculated field performs the same calculation that s defined in the calculated field. As a workaround, you could use formulas outside the pivot table to extract the line totals, and then sum those amounts (see Figure 3-27). Finally, hide the pivot table column that contains the Bonus calculations, so only the column with the correct Grand Total is visible.

Bitmap indexes: Normally in a B*Tree, there is a one-to-one relationship between an index entry and a row: an index entry points to a row. With bitmap indexes, a single index entry uses a bitmap to point to many rows simultaneously. They are appropriate for highly repetitive data (data with few distinct values relative to the total number of rows in the table) that is mostly read-only. Consider a column that takes on three possible values Y, N, and NULL in a table of 1 million rows. This might be a good candidate for a bitmap index if, for example, you need to frequently count how many rows have a value of Y. That is not to say that a bitmap index on a column with 1,000 distinct values in that same table would not be valid it certainly can be. Bitmap indexes should never be considered in an OLTP database for concurrency-related issues (which we ll discuss in due course). Note that bitmap indexes require the Enterprise or Personal Edition of Oracle.

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