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<h1 class="topictitle1">Design tables to reduce index rebuilding time</h1>
<div><p>Table design can also help reduce index recovery time.</p>
<div class="section"><p>For example, you can divide a large master table into a history
table and a transaction table. The transaction table is then used for adding
new data and the history table is used for inquiry only. Each day, you can
merge the transaction data into the history table and then clear
the transaction file for the next day's data. With this design, the time to
rebuild indexes can be shortened, because if the server abnormally ends during
the day, the index to the smaller transaction table might need to be rebuilt.
However, because the index to the large history table, is read-only for most
of the day, it might not be out of synchronization with its data, and might
not have to be rebuilt.</p>
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<div class="section"><p>Consider the trade-off between using table design
to reduce index rebuilding time and using server-supplied functions like access
path journaling. The table design described in the previous paragraph might
require a more complex application design. After evaluating your situation,
you can decide to use server-supplied functions like access path journaling
rather than design more complex applications.</p>
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<div class="parentlink"><strong>Parent topic:</strong> <a href="rbal1rcvjrn.htm" title="Journal management can be used as a part of the backup and recovery strategy for relational databases and indexes.">Journal management for distributed relational databases</a></div>
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