by Markus Winand.

Oracle Example Scripts for “Clustering Data”

This section contains the create and insert statements to run the examples from Chapter 5, “Clustering Data in an Oracle 11gR2 database.

Index-Organized Table

The following creates a second sales table as index-organized table. A secondary index on SALE_DATE is created.

CREATE TABLE sales_iot (
  sale_id       NUMBER NOT NULL,
  employee_id   NUMBER NOT NULL,
  subsidiary_id NUMBER NOT NULL,
  sale_date     DATE   NOT NULL,
  eur_value     NUMBER(17,2) NOT NULL,
  junk          CHAR(200),
  CONSTRAINT sales_iot_pk     
     PRIMARY KEY (sale_id),
  CONSTRAINT sales_iot_emp_fk 
     FOREIGN KEY          (subsidiary_id, employee_id)
      REFERENCES employees(subsidiary_id, employee_id)


INSERT INTO sales_iot (sale_id
                     , subsidiary_id, employee_id
                     , sale_date, eur_value, junk)
SELECT rownum, data.*
  FROM (
       SELECT e.subsidiary_id, e.employee_id
            , TRUNC (SYSDATE 
                   - DBMS_RANDOM.VALUE(0, 3650)) sale_date
            , DBMS_RANDOM.VALUE(10,10000)/100 eur_value
            , 'junk'
         FROM employees e
            , ( SELECT level n
                  FROM dual
               CONNECT BY level < 1800
              ) gen
        WHERE MOD(employee_id, 7) = 4
          AND gen.n < employee_id / 5
        ORDER BY sale_date
       ) data;

CREATE INDEX sales_iot_date ON sales_iot (sale_date);

     METHOD_OPT=>'for all indexed columns', CASCADE => true);

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Markus Winand teaches efficient SQL—inhouse and online. He minimizes the development time using modern SQL and optimizes the runtime with smart indexing—for that he also published the book SQL Performance Explained.

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