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We already know how to calculate selectivities on tables; and it s especially easy for the case where all the table-related predicates are AND ed together. We just multiply the individual selectivities together. But there is a refinement you have to consider when you are evaluating indexes. Imagine my sample query includes the extra predicate small_vc = '0000000001'. If you choose to visit the table by way of the existing index, you cannot check this final predicate until after you have reached the table so this predicate does not affect the fraction of the data that you are going to visit, only the fraction of data that you are finally going to return. When working out the cost of using an index, the effective table selectivity should be based only on those predicates that can be evaluated in the index, before you reach the table. (This is why I have termed it effective table selectivity rather than simply table selectivity and why 10g release 2 has relabelled it as the ix_sel_with_filters.) In this case, the predicates we have on the table can all be resolved in the index, so we can safely say that the effective table selectivity is (also) 0.04 * 1 * 0.05 = 0.002.

You should not overuse pinning pointers because pinning objects on the managed heap reduces the efficiency of the garbage collector For this reason, be careful of the scope of a pinning pointer You want to make sure it either goes out of scope as soon as possible after it is no longer needed, or it is assigned to nullptr, which has the same effect You must take particular care when assigning values to pinning pointers to ensure that the resulting pointers are not allowed to persist beyond the limited scope in which the pinning pointer is declared Therefore, do not return a pinning pointer as a return value, and do not return a pointer that has been assigned to a pinned pointer as a return value.

Use these keys on your BlackBerry keyboard to control Google Maps. NOTE: Just press the key with the number without holding ALT for example, to press the #4 in Google Maps, you just press the S (4) key by itself.

The clustering_factor is a measure that compares the order of the index with the degree of disorder in the table. The optimizer appears to calculate the clustering_factor by walking the table in index order and keeping track of how many times the walk jumped from one table block to another. (Of course, it doesn t really work like this; the code simply scans the index extracting table block addresses from rowids.) On every jump, a counter is incremented the final value of the counter is the clustering_factor. Figure 4-1 illustrates the principle.

Figure 4-1 Calculating the clustering_factor In Figure 4-1, we have a table with four blocks and 20 rows, and an index on the column V1, whose values are shown If you start to walk across the bottom of the index, the first rowid points to the third row in the first block We haven t visited any blocks yet, so this is a new block, so we count 1 Take one step along the index, and the rowid points to the fourth row of the second block we ve changed block, so increment the count Take one step along the index, and the rowid points to the second row of the first block we ve changed block again, so increment the count again.

4 6 # 2 1 / O 3 / I * 9 0 Previous search results Next search results Toggle between Map view and Search Results List Toggle between Satellite and Map views Zoom out Zoom in Favorites list/Add a new favorite location More search options & search tips Show/hide location (if available)

If you do, then you will have a pointer that points to somewhere in the managed heap, not necessarily to an object at all (once the garbage collector moves the original pinned object) This type of programming error is known as a GC hole Listing 12-18 shows an example of a GC hole..

Take one step along the index, and the rowid points to the fifth row of the first block we haven t changed blocks, so don t increment the count In the diagram, I have put a number against each row of the table this is to show the value of the counter as the walk gets to that row By the time we get to the end of the index, we have changed table blocks ten times, so the clustering factor is 10 Notice how small clumps of data stop the clustering_factor from growing look at block 2 where the value 8 appears four times because four consecutive entries in the index point to the same block; the same effect shows up in block 3 to give three rows the value 6.

Application stores are all the rage in the world of smartphones these days. One of the great things about a BlackBerry is that you can find applications in lots of places not just the sanctioned App Store. BlackBerry App World is a new concept for BlackBerry and deserves some explanation. Remember that you can always go to the other locations mentioned on page 485 to find additional applications for your BlackBerry as well.