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create table test_nocons (idf number ,field_01 varchar2(30) ... ,field_20 varchar2(30) ) STORAGE(INITIAL 256K);

o software package is perfect for every user right out of the box not even FogBugz! By now, you know how to work effectively with FogBugz once it s all set up, but I haven t yet discussed customization. The good news is that FogBugz allows you to customize a wide variety of things about your installation to make it work the way you need it to. In this chapter, I ll review the various administrative tasks involved in fine-tuning FogBugz to be right for your own project management.

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Underlying Firebird s SQL engine is its native binary language representation (BLR) language and a bare-bones interpreter consisting of a lexer, a parser, a symbol table, and code generator. The DSQL engine and embedded applications pass BLR to the optimizer, and it is BLR not strings that the optimizer analyzes. It can happen that two different SQL statements are interpreted into identical BLR.

TIP If you are curious about what BLR looks like, you can use the qli tool (in your Firebird bin directory) to inspect statements. Start qli and submit the command SET BLR to toggle on BLR display. A PDF manual for qli can be downloaded from some Firebird resource websites, including http://www.ibphoenix.com. If you have any SELECT statements in a stored procedure or trigger, you can view them in isql by submitting a SET BLOB 2 command and then querying the column RDB$PROCEDURE_BLR in the system table RDB$PROCEDURES.

If no index is available for a join term, the optimizer specifies a sort merge between the two streams. A sort merge involves sorting both streams and then scanning one time through both to merge the matching streams into a river. Sorting both streams avoids the need to scan the right stream repeatedly to find matches for the left stream s keys.

A river is a stream that is formed when two streams are merged by a join. When joins are nested, a river can become a stream in a subsequent operation. Various strategies for merging streams into rivers are compared for cost. The resulting plan captures the best strategy that the optimizer can determine for joining pairs of streams in order from left to right.

create table test_cons (id number ,field_01 varchar2(30) CHECK(LENGTH(field_01)<=30) ... ,field_20 varchar2(30) CHECK(LENGTH(field_20)<=30) ) STORAGE(INITIAL 256K);

In calculating the cost of a joining strategy, the optimizer gives a weighting to the order in which streams are joined. Alternative ordering evaluations are more likely with inner joins than with outer. Full joins require special processing and extra weighting. The length of a particular river comes into account after the longest path is determined in the course of join order evaluation. The optimizer initially favors the longest join path the maximum number of stream pairs that can be joined directly. The favored access method is to scan through the longest stream (ideally, the leftmost stream) and loop through shorter streams. However, more important than the length of the join path is how rows from the right stream are read. The access type is evaluated according to the indexes available and their attributes (selectivity) compared with natural order and any sorting specifications that are in the picture. If a better index is available for a shorter stream, choosing the longest stream as the controlling stream may be less important than the cost saving from choosing a shorter stream with a highly selective (ideally, unique) index. In this case, the eligible rows in the searched stream are retrieved in a single visit and ineligible rows are ignored.

Many graphical database admin and SQL monitor tools provide the capability to inspect the optimizer s plan when a statement is prepared. Firebird s own isql utility provides two interactive commands for viewing plans.

In an interactive isql session, you can use SET PLAN, with the optional keywords ON or OFF, to toggle the option to display the plan at the head of the console output:

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