Overview

PostgreSQL 7.2 Documentation
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# 5.2. Overview

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 much more general and flexible than other RDBMS implementations. Hence, most type conversion behavior in PostgreSQL should be governed by general rules rather than by ad hoc heuristics, to allow mixed-type expressions to be meaningful even with user-defined types.

The PostgreSQL scanner/parser decodes lexical elements into only five fundamental categories: integers, floating-point numbers, strings, names, and key words. Most extended types are first tokenized into 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

    tgl=> SELECT text 'Origin' AS "Label", point '(0,0)' AS "Value";
     Label  | Value
    --------+-------
     Origin | (0,0)
    (1 row)

has two literal constants, of type `text` and `point`. 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:

Operators

  PostgreSQL allows expressions with prefix and postfix unary (one-argument) operators, as well as binary (two-argument) operators.

Function calls

  Much of the PostgreSQL type system is built around a rich set of functions. Function calls have one or more arguments which, for any specific query, must be matched to the functions available in the system catalog. 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.

Query targets

  SQL INSERT and UPDATE statements place the results of expressions into a table. The expressions in the query must be matched up with, and perhaps converted to, the types of the target columns.

`UNION` and `CASE` constructs

  Since all select results from a unionized `SELECT` statement must appear in a single set of columns, the types of the results of each `SELECT` clause must be matched up and converted to a uniform set. Similarly, the result expressions of a `CASE` construct must be coerced to a common type so that the `CASE` expression as a whole has a known output type.

Many of the general type conversion rules use simple conventions built on the PostgreSQL function and operator system tables. There are some heuristics included in the conversion rules to better support conventions for the SQL standard native types such as `smallint`, `integer`, and `real`.

The PostgreSQL parser uses the convention that all type conversion functions take a single argument of the source type and are named with the same name as the target type. Any function meeting these criteria is considered to be a valid conversion function, and may be used by the parser as such. This simple assumption gives the parser the power to explore type conversion possibilities without hardcoding, allowing extended user-defined types to use these same features transparently.

An additional heuristic is provided in the parser to allow better guesses at proper behavior for SQL standard types. There are several basic type categories defined: `boolean`, `numeric`, `string`, `bitstring`, `datetime`, `timespan`, `geometric`, `network`, and user-defined. Each category, with the exception of user-defined, has a preferred type which is preferentially selected when there is ambiguity. In the user-defined category, each type is its own preferred type. Ambiguous expressions (those with multiple candidate parsing solutions) can often be resolved when there are multiple possible built-in types, but they will raise an error when there are multiple choices for user-defined types.

All type conversion rules are designed with several principles in mind:

- Implicit conversions should never have surprising or unpredictable outcomes.

- User-defined types, of which the parser has no a priori knowledge, should be "higher" in the type hierarchy. In mixed-type expressions, native types shall always be converted to a user-defined type (of course, only if conversion is necessary).

- User-defined types are not related. Currently, PostgreSQL does not have information available to it on relationships between types, other than hardcoded heuristics for built-in types and implicit relationships based on available functions in the catalog.

- There should be no extra overhead from the parser or executor if a query does not need implicit type conversion. That is, if a query is well formulated and the types already match up, then the query should proceed without spending extra time in the parser and without introducing unnecessary implicit conversion functions into the query.

  Additionally, if a query usually requires an implicit conversion for a function, and if then the user defines an explicit function with the correct argument types, the parser should use this new function and will no longer do the implicit conversion using the old function.

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