|The PostgreSQL 9.0 Reference Manual - Volume 1A - SQL Language Reference
by The PostgreSQL Global Development Group
Paperback (6"x9"), 454 pages
RRP £14.95 ($19.95)
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SQL is a strongly typed language. That is, every data item has an associated data type which determines its behavior and allowed usage. PostgreSQL has an extensible type system that is more general and flexible than other SQL implementations. Hence, most type conversion behavior in PostgreSQL is governed by general rules rather than by ad hoc heuristics. This allows the use of mixed-type expressions even with user-defined types.
The PostgreSQL scanner/parser divides lexical elements into five fundamental categories: integers, non-integer numbers, strings, identifiers, and key words. Constants of most non-numeric types are first classified as strings. The SQL language definition allows specifying type names with strings, and this mechanism can be used in PostgreSQL to start the parser down the correct path. For example, the query:
SELECT text 'Origin' AS "label", point '(0,0)' AS "value"; label | value --------+------- Origin | (0,0) (1 row)
has two literal constants, of type
If a type is not specified for a string literal, then the placeholder type
unknown is assigned initially, to be resolved in later
stages as described below.
There are four fundamental SQL constructs requiring distinct type conversion rules in the PostgreSQL parser:
- Function calls
- Much of the PostgreSQL type system is built around a rich set of functions. Functions can have one or more arguments. Since PostgreSQL permits function overloading, the function name alone does not uniquely identify the function to be called; the parser must select the right function based on the data types of the supplied arguments.
- PostgreSQL allows expressions with prefix and postfix unary (one-argument) operators, as well as binary (two-argument) operators. Like functions, operators can be overloaded, so the same problem of selecting the right operator exists.
- Value Storage
UPDATEstatements place the results of expressions into a table. The expressions in the statement must be matched up with, and perhaps converted to, the types of the target columns.
CASE, and related constructs
Since all query results from a unionized
SELECTstatement must appear in a single set of columns, the types of the results of each
SELECTclause must be matched up and converted to a uniform set. Similarly, the result expressions of a
CASEconstruct must be converted to a common type so that the
CASEexpression as a whole has a known output type. The same holds for
ARRAYconstructs, and for the
The system catalogs store information about which conversions, or
casts, exist between which data types, and how to
perform those conversions. Additional casts can be added by the user
command. (This is usually
done in conjunction with defining new data types. The set of casts
between built-in types has been carefully crafted and is best not
An additional heuristic provided by the parser allows improved determination
of the proper casting behavior among groups of types that have implicit casts.
Data types are divided into several basic type
user-defined. (For a list see typcategory Codes;
but note it is also possible to create custom type categories.) Within each
category there can be one or more preferred types, which
are preferred when there is a choice of possible types. With careful selection
of preferred types and available implicit casts, it is possible to ensure that
ambiguous expressions (those with multiple candidate parsing solutions) can be
resolved in a useful way.
All type conversion rules are designed with several principles in mind:
- Implicit conversions should never have surprising or unpredictable outcomes.
- There should be no extra overhead in the parser or executor if a query does not need implicit type conversion. That is, if a query is well-formed and the types already match, then the query should execute without spending extra time in the parser and without introducing unnecessary implicit conversion calls in the query. Additionally, if a query usually requires an implicit conversion for a function, and if then the user defines a new function with the correct argument types, the parser should use this new function and no longer do implicit conversion to use the old function.
|ISBN 9781906966041||The PostgreSQL 9.0 Reference Manual - Volume 1A - SQL Language Reference||See the print edition|