Download DB2 for Solaris: The Official Guide by Thomas Bauch, Mark Wilding PDF

By Thomas Bauch, Mark Wilding

Having been a DBA for two many years I take into account the 80s and 90s whilst it was once approximately very unlikely to discover reference books stocked with the type of info lined right here. This booklet blends DB2 UDB product wisdom particular for the Solaris platform with deep Solaris platform wisdom. Written in a how-to style, it's exact to discover this product/platform mixture. such a lot books written through IBMers are non-platform particular IBM software program centred, or IBM software program on IBM targeted. equally, such a lot books released via solar conceal a number of seller software program manufacturers (DB2, Oracle, Sybase) at a miles larger point, or move a lot deeper right into a subject, yet disguise Oracle purely. As one may anticipate, the genuine DB2 on Solaris wisdom expressed this is authored by means of men paid to boost the software program on Solaris and paid to promote the software program on Solaris...you will not locate it at any place else.

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Extra info for DB2 for Solaris: The Official Guide

Example text

For example, if changes are made at the instance level, you must issue a db2stop command to stop the instance followed by db2start. 35). 35. db2set all, Showing All Current Profile Registry Settings Notice that the instance-level settings are preceded with an [i], and the global settings are preceded with a [g].

Here is a rule of thumb: 41 42 Start with the same amount of SWAP space as physical memory. Monitor your usage closely, and review your requirements with your Solaris System Administrator. You should have a minimum of 1 GB of SWAP no matter how small your machine is. If the amount of SWAP space is less than the size of the system memory, add more by using the swap -a command, as shown in the following example: swap -a /dev/dsk/c0t1d0s1 Replace /dev/dsk/c0t1d0s1 with the name of an available disk partition that you wish to use for SWAP space.

Each database partition executes the query plan (to the extent possible) against the rows local to that partition. The results are aggregated on the coordinator database partition, if necessary. This form of parallelism is known as inter-partition parallelism. Within each database partition, the query plan may be executed on more than one CPU in parallel, which is known as intra-partition parallelism. Combining both inter- and intra-partition parallelism can provide superior query performance. 12 shows a query that is broken into four pieces that can be executed in parallel, with the results returned more quickly than if the query was run in a serial fashion in a single partition.

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