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Now, when we need to retrieve the rows that match our hash key, we might have to visit more than one block Like a hash table in a programming language, hash tables in the database have a fixed size When you create the table, you must determine the number of hash keys your table will have, forever That does not limit the amount of rows you can put in there In Figure 10-9, we can see a graphical representation of a hash cluster with table EMP created in it When the client issues a query that uses the hash cluster key in the predicate, Oracle will apply the hash function to determine which block the data should be in It will then read that one block to find the data.

If there have been many collisions, or the SIZE parameter to the CREATE CLUSTER was underestimated, Oracle will have allocated overflow blocks that are chained off the original block..

Sub RestrictPTDrag() Dim pt As PivotTable Dim pf As PivotField On Error Resume Next Set pt = ActiveSheet.PivotTables(1) For Each pf In pt.PivotFields With pf .DragToPage = False .DragToRow = False .DragToColumn = False .DragToData = False .DragToHide = False End With Next pf Set pt = Nothing End Sub To run the code, use a method described in Section 11.1. The code refers to ActiveSheet, so you can run the code on any sheet that contains a pivot table.

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Figure 10-9 Depiction of a hash cluster When you create a hash cluster, you ll use the same CREATE CLUSTER statement you used to create the index cluster with different options You ll just be adding a HASHKEYS option to it to specify the size of the hash table Oracle will take your HASHKEYS value and round it up to the nearest prime number; the number of hash keys will always be a prime Oracle will then compute a value based on the SIZE parameter multiplied by the modified HASHKEYS value It will allocate at least that much space in bytes for the cluster This is a big difference from the preceding index cluster, which dynamically allocates space as it needs it A hash cluster pre-allocates enough space to hold (HASHKEYS/trunc(blocksize/SIZE)) bytes of data.

Since you know you want to write to the database, then you need to start by issuing begin IMMEDIATE. If you get a SQLITE_BUSY, then at least you know what state you re in. You know you can safely keep trying without holding up another connection. And once you finally do succeed, you know what state you are in then as well RESERVED. Now you can use brute force if you have to because you are the one in the right. If you start with a begin exclusive, on the other hand, then you are assured that you won t have any busy conditions to deal with at all. Just remember that in this case you are doing your work in EXCLUSIVE, which is not as good for concurrency as doing the work in RESERVED.

For example, if you set your SIZE to 1,500 bytes and you have a 4KB block size, Oracle will expect to store two keys per block If you plan on having 1,000 HASHKEYs, Oracle will allocate 500 blocks It is interesting to note that unlike a conventional hash table in a computer language, it is OK to have hash collisions in fact, it is desirable in many cases If you take the same DEPT/EMP example from earlier, you could set up a hash cluster based on the DEPTNO column Obviously, many rows will hash to the same value, and you expect them to (they have the same DEPTNO) This is what the cluster is about in some respects: clustering like data together.

This is why Oracle asks you to specify the HASHKEYs (how many department numbers you anticipate over time) and SIZE (what the size of the data is that will be associated with each department number) It allocates a hash table to hold HASHKEY number of departments of SIZE bytes each What you do want to avoid is unintended hash collisions It is obvious that if you set the size of the hash table to 1,000 (really 1,009, since the hash table size is always a prime number and Oracle rounds up for you), and you put 1,010 departments in the table, there will be at least one collision (two different departments hashing to the same value) Unintended hash collisions are to be avoided, as they add overhead and increase the probability of block chaining occurring.

In addition to the built-in summary functions and custom calculations, you can write your own formulas in a pivot table to create calculated fields and calculated items.

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