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Execution Plan (9.2.0.6 autotrace) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=115 Card=1 Bytes=13) 1 0 SORT (AGGREGATE) 2 1 TABLE ACCESS (FULL) OF 'T1' (Cost=115 Card=1000 Bytes=13000) The clustering_factor has changed from around 1,000 (close to the number of table blocks) to 26,000 (the number of table rows), so the optimizer thinks it is a truly appalling index and declines to use it for our single-date query. The saddest thing about this is that the data for that one date will still be in exactly the same 30 to 35 table blocks that they were in when we had freelists set to 1, it s just the row order that has changed. In 4, I produced a schematic of a table and index showing the notional mechanism that Oracle used to count its way to the clustering_factor. If we produce a similar diagram for a simplified version of our latest example using freelists set to 2, and pretending that Oracle adds only two blocks at a time to a freelist then the schematic would look more like Figure 5-1.

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Figure 5-1. The clustering_factor and multiple freelists Process 1 is busy inserting rows into block 1, but process 2 is using a different freelist, so it is busy inserting rows into block 3 (in a real system, it is more likely to be inserting rows into a position five blocks further down the table). But both processes are using the same sequence generator, and if the two processes happen to run perfectly in step, alternating values from the sequence will appear in alternating blocks. Consequently, as Oracle walks the index, it keeps stepping back and forth between the same pair of table blocks, incrementing the clustering_factor as it goes. The counter I displayed for the clustering_factor in the first schematic isn t needed here because it simply stays in step with the values of the ID column. If you look at the diagram, it is very obvious that it will take just two block reads to get all the values from 1 to 10, but Oracle s method for calculating the clustering_factor makes the optimizer think that it is going to have to visit 10 different blocks. The problem is that Oracle doesn t maintain a recent history when calculating the clustering_factor, it simply checks whether the current block is the same as the previous block.

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When a process needs to insert a row into a table with multiple freelists, it selects a freelist based on the process ID. (MetaLink note 1029850.6 quotes the algorithm as mod(process_id, freelist count) + 1.) This means that collisions between processes may still occur, irrespective of the number of freelists you define. In my test run, I happened to have five processes that each picked a separate freelist. Your results may vary quite significantly. It may seem a little surprising that the choice is based on the process ID, rather than the session ID but the rationale behind this choice may have been to minimize contention in a shared server (MTS) environment.

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When you fix a table contention problem, you may find that queries that should be using index range scans suddenly start to use tablescans because of this simple arithmetic issue. We shall see an interesting fix for this problem shortly.

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