Oracle SQL Recipes: A Problem-Solution Approach (Expert's by Grant Allen

By Grant Allen

Have you ever been confronted with a brand new form of question to jot down, or been requested to create an unexpected database item? In such occasions, you've most likely sought after an exceptional, reliable instance upon which to construct, and in its place were pressured into the drudgery of parsing railroad-style syntax diagrams in Oracle's guide set. This publication frees you from that drudgery by means of offering confirmed and dealing examples of SQL used to resolve universal difficulties confronted via builders and database directors every day. when you are stressed to get effects quickly, Oracle SQL Recipes is there at your side.

  • Example-based, offering caliber ideas to daily difficulties
  • Respects some time by way of placing suggestions first and protecting discussions brief
  • Solves the main regularly encountered SQL difficulties

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Additional resources for Oracle SQL Recipes: A Problem-Solution Approach (Expert's Voice in Oracle)

Example text

However, for readability’s sake, you should try to stay consistent. 2-4. Ignoring Groups in Aggregate Data Sets Problem You want to ignore certain groups of data based on the outcome of aggregate functions or grouping actions. In effect, you’d really like another WHERE clause to work after the GROUP BY clause, providing criteria at the group or aggregate level. Solution SQL provides the HAVING clause to apply criteria to grouped data. EMPLOYEES table. Importantly, we only want to see these aggregate values where more than one person performs the same job in a given department.

EMPLOYEES table. Importantly, we only want to see these aggregate values where more than one person performs the same job in a given department. The next SQL statement uses an expression in the HAVING clause to solve our problem. employees group by department_id, job_id having count(*) > 1; Our recipe results in the following summary. 66667 8200 6 SA_MAN 10500 12200 14000 5 SH_CLERK 2500 3215 4200 20 IT_PROG 4200 5760 9000 5 PU_CLERK 2500 2780 3100 5 FI_ACCOUNT 6900 7920 9000 5 9 rows selected.

DEPARTMENT_ID ------------20 40 50 60 70 80 DEPARTMENT_NAME ----------------Marketing Human Resources Shipping IT Public Relations Sales 6 rows selected. info CHAPTER 1 ■ THE BASICS The inline view now acts as if you had a table, D, defined with this structure. DEPARTMENTS table, which are implicitly inherited by our inline view. The outer SELECT statement queries the result set, just as if there were a real table d and you’d written this statement against it. select department_name from d; 1-12.

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