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The CLERK data is in all of the partitions, and the fact that three of the tablespaces are offline does affect us. This is unavoidable unless we had partitioned on JOB, but then we would have had the same issues with queries that needed data by LOC. Anytime you need to access the data from many different keys, you will have this issue. Oracle will give you the data whenever it can. Note, however, that if the query can be answered from the index, avoiding the TABLE ACCESS BY ROWID, the fact that the data is unavailable is not as meaningful: ops$tkyte@ORA11GR2> select count(*) from emp where job = 'CLERK'; COUNT(*) ---------4 Since Oracle didn t need the table in this case, the fact that most of the partitions were offline doesn t affect this query (assuming the index isn t in one of the offline tablespaces of course!). As this type of optimization (i.e., answer the query using just the index) is common in an OLTP system, there will be many applications that are not affected by the data that is offline. All we need to do now is make the offline data available as fast as possible (restore it and recover it).

Project ProjectResources ProjectResource Resource ResourceAssignments ResourceAssignment Assignment ProjectList ProjectInfo ResourceList ResourceInfo RoleList Roles Role

Many times I hear people say, I m very disappointed in partitioning. We partitioned our largest table and it went much slower. So much for partitioning being a performance increasing feature! Partitioning can do one of the following three things to overall query performance: Make your queries go faster Not impact the performance of your queries at all Make your queries go much slower and use many time the resources as the nonpartitioned implementation

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Listing 4-12. Fourth Output for NTP Variables Analysis (Client and Master Are Again Synchronized) Router2#show ntp associations detail 192.168.5.1 configured, our_master, sane, valid, stratum 2 ref ID 127.127.7.1, time C62C90A0.5C553709 (14:09:36.360 UTC Wed May 11 2005) our mode active, peer mode passive, our poll intvl 64, peer poll intvl 64 root delay 0.00 msec, root disp 0.03, reach 37, sync dist 879.974 delay 9.20 msec, offset -0.5576 msec, dispersion 875.35 precision 2**19, version 3 org time C62C90AF.4B5DD083 (14:09:51.294 UTC Wed May 11 2005) rcv time C62C90AF.4CB0548F (14:09:51.299 UTC Wed May 11 2005) xmt time C62C90AF.4A1B1ADE (14:09:51.289 UTC Wed May 11 2005) filtdelay = 9.20 11.61 9.02 9.23 9.14 0.00 0.00 0.00 filtoffset = -0.56 0.62 -0.60 -0.68 -0.39 0.00 0.00 0.00 filterror = 0.02 0.99 1.97 2.94 3.92 16000.0 16000.0 16000.0 Information in the preceding outputs, in Listing 4-9 through Listing 4-12, is derived from the state of select NTP variables and the ongoing results of NTP data and control messages exchanges between the client and the server. In the course of the messages exchanges, the NTP packet procedure executes a series of tests that are commonly referred to as sanity checks, the results of which are also reflected in the outputs. Thus, while the outputs display directly the values of some variables, as a whole, and by applying algorithms to the ongoing exchanges, they present a more composite and meaningful picture of the state of an NTP association than a mere raw data dump of all the available variables. The outputs include

In a data warehouse, with an understanding of the questions being asked of the data, the first bullet point is very much achievable Partitioning can positively impact queries that frequently full scan large database tables by eliminating large sections of data from consideration Suppose you have a table with 1 billion rows in it There is a timestamp attribute Your query is going to retrieve one years worth of data from this table (and it has 10 years of data) Your query uses a full table scan to retrieve this data Had it been partitioned by this timestamp entry say, a partition per month then you could have full scanned one-tenth the data (assuming a uniform distribution of data over the years) Partition elimination would have removed the other 90 percent of the data from consideration Your query would likely run faster.

Adds and edits a valid project Maintains a list of resources assigned to a project Manages assignment of a resource to project Adds and edits a valid resource Maintains a list of projects to which a resource is assigned Manages a project to which a resource is assigned Manages association of a project and a resource Gets a read-only list of projects Provides read-only information for a project Gets a read-only list of resources Provides read-only information for a resource Gets a read-only list of roles Maintains a list of roles in the system Adds and edits a valid role

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