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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 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 generally do not want migrated rows (but do not lose sleep if a couple hundred/thousand rows in a table of thousands or more rows are migrated!) 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.

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BinaryWriter type instate = SystemIOBinaryReader type pickler<'a> = 'a -> outstate -> unit type unpickler<'a> = instate -> 'a Here instate and outstate are types that will record information during the pickling or parsing process In this section, these are just binary readers and writers, but more generally they can be any type that can collect information and help compact the data during the writing process, such as by ensuring that repeated strings are given unique identifiers during the pickling process At the heart of every such library lies a set of primitive leaf functions for the base cases of aggregate data structures For example, when working with binary streams, this is the usual set of primitive read/write functions: let byteP (b: byte) (st: outstate) = stWrite(b) let byteU (st: instate) = st.

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 migration and row chaining (discussed later) when set properly..

Setting PCTFREE and PCTUSED is an important and greatly overlooked topic. In summary, PCTUSED and PCTFREE are both crucial when using MSSM; with ASSM, only PCTFREE is. On the one hand, you need to use them to avoid too many rows from migrating. On the other hand, you use them to avoid wasting too much space. You need to look at your objects and describe how they will be used, and then you can come up with a logical plan for setting these values. Rules of thumb may very well fail you on these settings; they really need to be set based on usage. You might consider the following (keeping in mind that high and low are relative terms, and that when using ASSM, only PCTFREE applies): High PCTFREE, low PCTUSED: This setting is for when you insert lots of data that will be updated, and the updates will increase the size of the rows frequently. This setting reserves a lot of space on the block after inserts (high PCTFREE) and makes it so that the block must almost be empty before getting back onto the FREELIST (low PCTUSED). Low PCTFREE, high PCTUSED: This setting is for if you tend to only ever INSERT or DELETE from the table, or if you do UPDATE, the UPDATE tends to shrink the row in size.

ReadByte() You can now begin to define additional pickler/unpickler pairs: let boolP b st = byteP (if b then 1uy else 0uy) st let boolU st = let b = byteU st in (b = 1uy) let int32P i st byteP (byte byteP (byte byteP (byte byteP (byte = (i &&& 0xFF)) st ((i >>> 8) &&& 0xFF)) st ((i >>> 16) &&& 0xFF)) st ((i >>> 24) &&& 0xFF)) st.