Re: Smaller data types use same disk space
| От | Adrian Klaver |
|---|---|
| Тема | Re: Smaller data types use same disk space |
| Дата | |
| Msg-id | 500F41D1.3010806@gmail.com обсуждение исходный текст |
| Ответ на | Smaller data types use same disk space ("McGehee, Robert" <Robert.McGehee@geodecapital.com>) |
| Ответы |
Re: Smaller data types use same disk space
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| Список | pgsql-general |
On 07/24/2012 03:21 PM, McGehee, Robert wrote: > Hi, > I've created two tables labeled "Big" and "Small" that both store the same 10 million rows of data using 493MB and 487MBof disk space respectively. The difference is that the "Big" table uses data types that take up more space (integerrather than smallint, float rather than real, etc). The "Big" table should need about 27 bytes/row versus 16 bytes/rowfor the "Small" table, indicating to me that the "Big" table should be 70% bigger in actual disk size. In reality,it's only 1% bigger or 6MB (after clustering, vacuuming and analyzing). Why is this? Shouldn't the "Small" tablebe about 110MB smaller (11 bytes for 10 million rows)? I'm estimating table size with \d+ > > Thanks, Robert > > Table "Big" > Column | Type | Bytes > ----------+------------------+----------- > rmid | integer | 4 > date | date | 4 > rmfactor | text | 7 (about 3 characters/cell) > id | integer | 4 > value | double precision | 8 > --------------------------------- > Total Bytes/Row 27 > Rows 10M > Actual Size 493MB > > > Table "Small" > Column | Type | Bytes > --------+----------+----------- > rmid | smallint | 2 > date | date | 4 > rmfid | smallint | 2 (rmfid is a smallint index into the rmfactor table) > id | integer | 4 > value | real | 4 > --------------------------------- > Total Bytes/Row 16 > Rows 10M > Actual Size 487MB See here for the gory details: http://www.postgresql.org/docs/9.1/interactive/storage-page-layout.html See in particular: Table 55-4. HeapTupleHeaderData Layout From the text: ""All table rows are structured in the same way. There is a fixed-size header (occupying 23 bytes on most machines.." which breaks you assumption of the Big/Small row size comparison. > > > -- Adrian Klaver adrian.klaver@gmail.com
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