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What exactly is row migration Row migration is when a row is forced to leave the block it was created on because it grew too large to fit on that block with the rest of the rows. I ll illustrate a row migration in this section. We ll start with a block that looks like Figure 10-3.
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Figure 10-3. Data block before update Approximately one-seventh of the block is free space. However, we would like to more than double the amount of space used by row 4 via an UPDATE (it currently consumes oneseventh of the block). In this case, even if Oracle coalesced the space on the block as shown in Figure 10-4, there is still insufficient room double the size of row 4 because the size of the free space is less than the current size of row 4.
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CHAPTER 10 DATABASE TABLES
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Figure 10-4. Data block as it would appear after coalescing free space If the row fit into the coalesced space, then this would have happened. This time, however, Oracle will not perform this coalescing and the block will remain as it is. Since row 4 would have to span more than one block if it stayed on this block, Oracle will move, or migrate, the row. However, Oracle cannot just move the row it must leave behind a forwarding address. There may be indexes that physically point to this address for row 4. A simple update will not modify the indexes as well. (Note that there is a special case with partitioned tables that a rowid, the address of a row, will change. We will look at this case in 13.) Therefore, when Oracle migrates the row, it will leave behind a pointer to where the row really is. After the update, the blocks might look as shown in Figure 10-5.
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Figure 10-5. Migrated row depiction So, a migrated row is a row that had to move from the block it was inserted into, onto some other block. Why is this an issue Your application will never know; the SQL you use is no different. It only matters for performance reasons. If you go to read this row via an index, the index will point to the original block. That block will point to the new block. Instead of doing the two or so I/Os to read the index plus one I/O to read the table, you ll need to do yet one more I/O to get to the actual row data. In isolation, this is no big deal you won t even notice it. However, when you have a sizable percentage of your rows in this state, with lots of users accessing them, you ll begin to notice this side effect. Access to this data will start to slow down (additional I/Os and the associated latching that goes with the I/O add to the access
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CHAPTER 10 DATABASE TABLES
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time), your buffer cache efficiency goes down (you need to buffer two blocks instead of just the one you would if the rows were not migrated), and your table grows in size and complexity. For these reasons, you do not want migrated rows. It is interesting to note what Oracle will do if the row that was migrated from the block on the left to the block on the right, in Figure 10-5, has to migrate again at some future point in time. This would be due to other rows being added to the block it was migrated to and then updating this row to make it even larger. Oracle will actually migrate the row back to the original block and, if there is sufficient space, leave it there (the row might become unmigrated ). If there isn t sufficient space, Oracle will migrate the row to another block altogether and change the forwarding address on the original block. As such, row migrations will always involve one level of indirection. So, now we are back to PCTFREE and what it is used for: it is the setting that will help you to minimize row chaining when set properly.
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