PostgreSQL 8.3.6 Documentation
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# 50.1. Catalog Entries for Indexes

Each index access method is described by a row in the `pg_am` system catalog (see Section 44.3). The principal contents of a `pg_am` row are references to `pg_proc` entries that identify the index access functions supplied by the access method. The APIs for these functions are defined later in this chapter. In addition, the `pg_am` row specifies a few fixed properties of the access method, such as whether it can support multicolumn indexes. There is not currently any special support for creating or deleting `pg_am` entries; anyone able to write a new access method is expected to be competent to insert an appropriate row for themselves.

To be useful, an index access method must also have one or more operator families and operator classes defined in `pg_opfamily`, `pg_opclass`, `pg_amop`, and `pg_amproc`. These entries allow the planner to determine what kinds of query qualifications can be used with indexes of this access method. Operator families and classes are described in Section 34.14, which is prerequisite material for reading this chapter.

An individual index is defined by a `pg_class` entry that describes it as a physical relation, plus a `pg_index` entry that shows the logical content of the index — that is, the set of index columns it has and the semantics of those columns, as captured by the associated operator classes. The index columns (key values) can be either simple columns of the underlying table or expressions over the table rows. The index access method normally has no interest in where the index key values come from (it is always handed precomputed key values) but it will be very interested in the operator class information in `pg_index`. Both of these catalog entries can be accessed as part of the `Relation` data structure that is passed to all operations on the index.

Some of the flag columns of `pg_am` have nonobvious implications. The requirements of `amcanunique` are discussed in Section 50.5. The `amcanmulticol` flag asserts that the access method supports multicolumn indexes, while `amoptionalkey` asserts that it allows scans where no indexable restriction clause is given for the first index column. When `amcanmulticol` is false, `amoptionalkey` essentially says whether the access method allows full-index scans without any restriction clause. Access methods that support multiple index columns must support scans that omit restrictions on any or all of the columns after the first; however they are permitted to require some restriction to appear for the first index column, and this is signaled by setting `amoptionalkey` false. `amindexnulls` asserts that index entries are created for NULL key values. Since most indexable operators are strict and hence cannot return TRUE for NULL inputs, it is at first sight attractive to not store index entries for null values: they could never be returned by an index scan anyway. However, this argument fails when an index scan has no restriction clause for a given index column. In practice this means that indexes that have `amoptionalkey` true must index nulls, since the planner might decide to use such an index with no scan keys at all. A related restriction is that an index access method that supports multiple index columns must support indexing null values in columns after the first, because the planner will assume the index can be used for queries that do not restrict these columns. For example, consider an index on (a,b) and a query with `WHERE a = 4`. The system will assume the index can be used to scan for rows with `a = 4`, which is wrong if the index omits rows where `b` is null. It is, however, OK to omit rows where the first indexed column is null. Thus, `amindexnulls` should be set true only if the index access method indexes all rows, including arbitrary combinations of null values. An index access method that sets `amindexnulls` may also set `amsearchnulls`, indicating that it supports `IS NULL` clauses as search conditions.

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