By Curtis Garvin
This ebook makes it effortless so you might grasp the necessities of DB2 programming. Written from the programmer's viewpoint, it focuses correct from the beginning on what you must understand to entry and procedure DB2 facts on your program courses utilizing embedded SQL
You'll examine: the fundamentals of ways DB2 works so that you can application extra simply and logically...how to layout and code DB2 programs...how to exploit internal joins, outer joins, and unions to mix facts from or extra tables...how to take advantage of column capabilities to extract precis information from a table...how to paintings with variable-length info and nulls...how to take advantage of mistakes dealing with thoughts and ROLLBACK to guard DB2 data...how to exploit locking and concurrency gains so that you do not tie up the full system...how to strengthen DB2 courses interactively (using DB2I, a TSO facility) or in batch...how to create attempt information utilizing SPUFI and QMF...and extra!
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Additional info for DB2 for the COBOL Programmer, Part 1
The underscore (_) character matches any single character. The percent sign (%) matches any sequence of zero or more characters. 9 shows a few examples. 9. info ---------+-------+---------(0 rows) If you want to perform case-insensitive pattern matching, use the ILIKE operator: movies=# SELECT * FROM tapes WHERE title ILIKE '%citizen%'; tape_id | title | duration ----------+----------------------+---------OW-41221 | Citizen Kane | KJ-03335 | American Citizen, An | (2 rows) You can, of course, combine LIKE and ILIKE with the NOT operator to return rows that do not match a pattern: movies=# SELECT * FROM tapes WHERE title NOT ILIKE '%citizen%'; tape_id | title | duration ----------+---------------+-------------AB-12345 | The Godfather | AB-67472 | The Godfather | MC-68873 | Casablanca | AH-54706 | Rear Window | OW-42200 | Sly | 01:36 OW-42201 | Stone | 4 days 01:36 (6 rows) Pattern Matching with Regular Expressions The LIKE and ILIKE operators are easy to use, but they aren't very powerful.
PostgreSQL continues searching through the WHEN clauses until it finds a match. If none of the values match expression 1, the expression evaluates to the value specified in the ELSE clause. If PostgreSQL gets all the way to the end of the list and you haven't specified an ELSE clause, the CASE expression evaluates to NULL. Note that result1, result2, … resultn must all have the same data type. You can see that NULLIF( balance, 0 ) is equivalent to CASE balance WHEN 0 THEN NULL ELSE balance END The second, more flexible form of the CASE expression is called the searched form: CASE WHEN condition1 THEN result1 WHEN condition2 THEN result2 ...
Next, PostgreSQL could throw out all the rows that fail to satisfy the WHERE clause. In practice, this would be a poor strategy: Cross-joins can get very large quickly. Instead, the PostgreSQL query optimizer analyzes the query and plans an execution strategy to minimize execution time. I'll cover query optimization in Chapter 4. info We've seen two join types so far: cross-joins and inner-joins. Now we'll look at outer-joins. An outer-join is similar to an inner-join: a relationship between two tables is established by correlating a column from each table.
DB2 for the COBOL Programmer, Part 1 by Curtis Garvin