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ops$tkyte@ORA10GR1> create table dept 2 ( deptno number(2) primary key, 3 dname varchar2(14), 4 loc varchar2(13) 5 ) 6 cluster emp_dept_cluster(deptno) 7 / Table created. ops$tkyte@ORA10GR1> create table emp 2 ( empno number primary key, 3 ename varchar2(10), 4 job varchar2(9), 5 mgr number, 6 hiredate date, 7 sal number, 8 comm number, 9 deptno number(2) references dept(deptno) 10 ) 11 cluster emp_dept_cluster(deptno) 12 / Table created. Here, the only difference from a normal table is that we used the CLUSTER keyword and told Oracle which column of the base table will map to the cluster key in the cluster itself. Remember, the cluster is the segment here, therefore this table will never have segment attributes such as TABLESPACE, PCTFREE, and so on they are attributes of the cluster segment, not the table we just created. We can now load them up with the initial set of data: ops$tkyte@ORA10GR1> begin 2 for x in ( select * from scott.dept ) 3 loop 4 insert into dept 5 values ( x.deptno, x.dname, x.loc ); 6 insert into emp 7 select * 8 from scott.emp 9 where deptno = x.deptno; 10 end loop; 11 end; 12 / PL/SQL procedure successfully completed. You might be wondering, Why didn t we just insert all of the DEPT data and then all of the EMP data, or vice versa Why did we load the data DEPTNO by DEPTNO like that The reason is in the design of the cluster. We are simulating a large, initial bulk load of a cluster. If we had loaded all of the DEPT rows first, we definitely would have gotten our seven keys per block (based on the SIZE 1024 setting we made), since the DEPT rows are very small (just a couple of
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CHAPTER 10 DATABASE TABLES
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bytes). When it came time to load up the EMP rows, we might have found that some of the departments had many more than 1,024 bytes of data. This would cause excessive chaining on those cluster key blocks. Oracle would chain, or link together, a list of blocks to contain this information. By loading all of the data for a given cluster key at the same time, we pack the blocks as tightly as possible and start a new block when we run out of room. Instead of Oracle putting up to seven cluster key values per block, it will put as many as can fit. A quick example will show the difference between these two approaches. We ll add a large column to the EMP table: a CHAR(1000). This column will be used to make the EMP rows much larger than they are now. We ll load the cluster tables in two ways: we ll load DEPT and then EMP. The second time, we ll load by department number: a DEPT row, then all the EMP rows that go with it, and then the next DEPT. We ll look at the blocks each row ends up on, in the given case, to see which one best achieves the goal of co-locating the data by DEPTNO. Our EMP table looks like this: ops$tkyte@ORA10GR1> create table emp 2 ( empno number primary key, 3 ename varchar2(10), 4 job varchar2(9), 5 mgr number, 6 hiredate date, 7 sal number, 8 comm number, 9 deptno number(2) references dept(deptno), 10 data char(1000) 11 ) 12 cluster emp_dept_cluster(deptno) 13 / Table created. When we load the data into the DEPT and the EMP tables, we see that many of the EMP rows are not on the same block as the DEPT row anymore (DBMS_ROWID is a supplied package useful for peeking at the contents of a row ID): ops$tkyte@ORA10GR1> insert into dept 2 select * from scott.dept; 4 rows created. ops$tkyte@ORA10GR1> insert into emp 2 select emp.*, '*' from scott.emp; 14 rows created. ops$tkyte@ORA10GR1> select dept_blk, emp_blk, 2 case when dept_blk <> emp_blk then '*' end flag, 3 deptno 4 from ( 5 select dbms_rowid.rowid_block_number(dept.rowid) dept_blk, 6 dbms_rowid.rowid_block_number(emp.rowid) emp_blk, 7 dept.deptno
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