the chained rows vs migrate lines

Hi guys,.

Anyone know the diff between lines chained and migrated rows?

The query below is the lines chained after analyzing:

SELECT the table table_name, num_rows, owner, chain_cnt
Round(chain_cnt/num_rows*100,2) pct_chained,
avg_row_len, pct_free, pct_used
FROM dba_tables
where chain_cnt <>0
and num_rows <>0

How about migrated lines?

Thank you!

If you are not careful following the basic rules is a good way to end up making unnecessary work.

Since by definition that a linked line is a line that is too large to fit in a single block the reorganization of a table database has no effect on the number of lines chained in a table only migrated lines will be eliminated. The required referenced threads listing chained then lines feteching in fact the lines then statistical verification, which is a lot of work.

Another approach or help reduce the number of tables of interest after analysis your paintings would be to filter the list of tables to consider choosing a percentage value where values below this level are regarded as not of interest: dba_tables.chain_cnt / dba_tables.num_rows. After all you care if one person out of 1000 10 thousand, or 200 e / s to get a line via an index reading requires a second IO? You can follow the link referenced at this stage for the identified tables or more based on statistics an analysis of eye-ball.

Consider the pctfree, the amount of data exists on insert and avg_row_len. Short rows would not be the string so a chain_cnt > 0 in this case probably would be migrated rows. A line length average larger than the size of the block would require chaining and you could estimate how many blocks N number of lines should take and comapre for your chain_cnt. It's tables with medium-sized lines that are the most difficult to understand given that the avg_row_len could hide some very large rows that have the chain and where to capture the chained rows and retrieve can be useful.

Now make a quick estimate of the number of blocks needed to contain num_rows * avg_row_len * overhead_factor / the_oracle_block size and compare that to dbatables.blocks.

If the space used is substantially higher than the calculated space so this table can be a canidate for reorganization for the purpose of management of space, if you really need to look at the DML model space may soon be rehabilitated. A history of use of space by the heads of line object can be beneficial to determine whether the table is a State of equilibrium (essentially static in size) or still growing. If you go to the trouble to re-organize a table you must keep a record the before and after results, including the number of lines and the number of blocks used for use on the line to determine if the execution of this task again on the same object is worth.

If a table turns have migrated lines then most likely you need to adjust the pctfree factor in order to ensure a suitable available space exists in the block at the time of insertion to allow future expansion line so that you don't have to re-organize the table again in a few months.

HTH - Mark D Powell.

Tags: Database

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