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Each table has a primary heap disk file where most of the data is stored. If the table has any columns with potentially-wide values, there also might be aTOAST file associated with the table, which is used to store values too wide to fit comfortably in the main table (seeSection 69.2). There will be one valid index on theTOAST table, if present. There also might be indexes associated with the base table. Each table and index is stored in a separate disk file — possibly more than one file, if the file would exceed one gigabyte. Naming conventions for these files are described inSection 69.1.

You can monitor disk space in three ways: using the SQL functions listed inTable 9.90, using theoid2name module, or using manual inspection of the system catalogs. The SQL functions are the easiest to use and are generally recommended. The remainder of this section shows how to do it by inspection of the system catalogs.

Usingpsql on a recently vacuumed or analyzed database, you can issue queries to see the disk usage of any table:

SELECT pg_relation_filepath(oid), relpages FROM pg_class WHERE relname = 'customer'; pg_relation_filepath | relpages----------------------+---------- base/16384/16806     |       60(1 row)

Each page is typically 8 kilobytes. (Remember,relpages is only updated byVACUUM,ANALYZE, and a few DDL commands such asCREATE INDEX.) The file path name is of interest if you want to examine the table's disk file directly.

To show the space used byTOAST tables, use a query like the following:

SELECT relname, relpagesFROM pg_class,     (SELECT reltoastrelid      FROM pg_class      WHERE relname = 'customer') AS ssWHERE oid = ss.reltoastrelid OR      oid = (SELECT indexrelid             FROM pg_index             WHERE indrelid = ss.reltoastrelid)ORDER BY relname;       relname        | relpages----------------------+---------- pg_toast_16806       |        0 pg_toast_16806_index |        1

You can easily display index sizes, too:

SELECT c2.relname, c2.relpagesFROM pg_class c, pg_class c2, pg_index iWHERE c.relname = 'customer' AND      c.oid = i.indrelid AND      c2.oid = i.indexrelidORDER BY c2.relname;      relname      | relpages-------------------+---------- customer_id_index |       26

It is easy to find your largest tables and indexes using this information:

SELECT relname, relpagesFROM pg_classORDER BY relpages DESC;       relname        | relpages----------------------+---------- bigtable             |     3290 customer             |     3144