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Where it will come in most handy is if you ever need to mass update the nested table (remember, you would have to do that through the DEPT table with a join) There is an underdocumented hint (it is mentioned briefly and not fully documented), NESTED_TABLE_GET_REFS, which is used by various tools such as EXP and IMP to deal with nested tables It is also a way to see a little more about the physical structure of the nested tables If you use this hint, you can query to get some magic results The following query is what EXP (a data unload utility) uses to extract the data from this nested table:.

The clustering column for this cluster will be the DEPTNO column The columns in the tables do not have to be called DEPTNO but they must be NUMBER(2) to match this definition We have, on the cluster definition, a SIZE 1024 option This is used to tell Oracle that we expect about 1,024 bytes of data to be associated with each cluster key value Oracle will use that to compute the maximum number of cluster keys that could fit per block Given that we have an 8KB block size, Oracle will fit up to seven cluster keys (but maybe less if the data is larger than expected) per database block For example, the data for departments 10, 20, 30, 40, 50, 60, and 70 would tend to go onto one block, and as soon as we insert department 80, a new block will be used.

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After the installation is complete, the system administrator must create any other necessary user accounts. All the DBA users must be part of the OSDBA group.

The oracle user has a set of tasks to perform after the Oracle server software is installed. These include setting the correct environment, applying any necessary Oracle patches, and setting the initialization parameters.

ops$tkyte@ORA10G> SELECT /*+NESTED_TABLE_GET_REFS*/ 2 NESTED_TABLE_ID,SYS_NC_ROWINFO$ 3 FROM "OPS$TKYTE"."EMPS_NT" 4 / NESTED_TABLE_ID SYS_NC_ROWINFO$(EMPNO, EN -------------------------------- ------------------------F60DEEE0FF7D7BC1E030007F01001321 EMP_TYPE(7782, 'CLARK', ' MANAGER', 7839, '09-JUN-8 1', 2450, 100) F60DEEE0FF7D7BC1E030007F01001321 EMP_TYPE(7839, 'KING', 'P RESIDENT', NULL, '17-NOV81', 5000, 100) ... Well, this is somewhat surprising if you describe this table: ops$tkyte@ORA10G> desc emps_nt Name Null ----------------------------- -------EMPNO ENAME JOB MGR HIREDATE SAL COMM Type -------------------NUMBER(4) VARCHAR2(10) VARCHAR2(9) NUMBER(4) DATE NUMBER(7,2) NUMBER(7,2)

This does not mean that the data is stored in a sorted manner; it just means that if we inserted the departments in that order, they would naturally tend to be put together If we inserted the departments in the order 10, 80, 20, 30, 40, 50, 60, and then 70, the final department (70) would tend to be on the newly added block As we ll see below, both the size of the data and the order in which the data is inserted will affect the number of keys we can store per block The SIZE parameter therefore controls the maximum number of cluster keys per block It is the single largest influence on the space utilization of our cluster Set the size too high, and we ll get very few keys per block and we ll use more space than we need.

You should determine which of your tables are going to be your main data tables and which will be your lookup tables. A lookup table generally contains static data, such as the Departments table discussed in the previous section. Usually when you have a foreign key in a table, the table from which the foreign key comes will be your lookup table.

One of the ways to ensure good performance later on is to spend a lot of time at the design stage thinking about how your users are going to use the database. For example, whereas normalization may be a technically correct way to design a database, it may require reading more tables for a single query. The more tables you need to join for any query, the higher the CPU and memory usage, which may hurt database performance. If you perform the appropriate amount of due diligence at the design stage, you can depict your organization s process flow accurately while you design your tables. When you consider the cost and frustration involved in tuning poorly written SQL later on, it s clear that it s worth putting some effort into carefully designing tables and fields.

Set the size too low, and we ll get excessive chaining of data, which offsets the purpose of the cluster to store all of the data together on a single block It is the most important parameter for a cluster..

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