We are testing full text searching on a small chunk of our data. We
have created an INDEX to make searching faster. From the PostgreSQL
8.3 docs, we are running 8.3.7, it seems we should be running GIN
indexes. The reason GIN on paper seems like the right INDEX:
* we have static data
* we have over 241071 unique words (lexemes)
* GIN index lookups are about three times faster and we are 99.9% searching
The problem is that we have been testing with both INDEX types and
GiST is killing GIN. I believe it has to do with the size of our GiST
index.
SELECT * from relation_size where relation like '%full%';
relation | size
--------------------------------------------+--------
public.profile_images_fulltext_gin | 437 MB
public.profile_images_fulltext | 161 MB
public.profile_images_fulltext_gist | 66 MB
public.profile_images_fulltext_pif_key_key | 18 MB
(4 rows)
So my questions...
Why is the GiST index so large?
Would the large size likely effect performance?
Am I doing something fundamentally wrong?
Yes I was sure to ANALYZE public.profile_images_fulltext between all
my INDEX DROP and CREATE
More details:
owl=# \d profile_images_fulltext
Table "public.profile_images_fulltext"
Column | Type | Modifiers
------------------+-----------------------------+---------------
pif_key | bigint | not null
content | tsvector |
datetime_created | timestamp without time zone | default now()
raw | text |
owl=# SELECT count (pif_key) from public.profile_images_fulltext;
count
--------
630699
(1 row)
owl=# SELECT count(word) FROM ts_stat('SELECT content FROM
profile_images_fulltext');
count
--------
241071
(1 row)
CREATE INDEX profile_images_fulltext_gin ON profile_images_fulltext
USING gin(content);
CREATE INDEX profile_images_fulltext_gist ON profile_images_fulltext
USING gist(content);
Any and all thoughts would be greatly appreciated,
Aaron Thul
http://www.chasingnuts.com
Life is complex: it has real and imaginary components.
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