我无法重现,但我怀疑你做了以下类似的事情:
CREATE TABLE text_table(
id serial PRIMARY KEY,
value text
);
CREATE INDEX ON text_table(lower(value) text_pattern_ops);
INSERT INTO text_table(value)
SELECT md5(random()::text)
FROM generate_series(0, 1000000);
CREATE FUNCTION search_text_table(term text)
RETURNS TABLE(id int) AS
$$BEGIN
RETURN QUERY (SELECT text_table.id
FROM text_table
WHERE lower(value) LIKE term);
END;$$
LANGUAGE plpgsql;
-- repeat a query like this 5 times
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('%abc%');
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('%abc%');
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('%abc%');
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('%abc%');
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('%abc%');
-- then run a query that could use the index
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('abc%');
让我们看看 PostgreSQL 到底做了什么:
-- requires being superuser
LOAD 'auto_explain';
SET log_min_messages = panic;
SET auto_explain.log_min_duration = 0;
SET auto_explain.log_nested_statements = on;
SET client_min_messages = log;
SET auto_explain.log_analyze = on;
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('abc%');
LOG: duration: 2033.747 ms plan:
Query Text: (select text_table.id from text_table where lower(value) like term)
Seq Scan on text_table (cost=0.00..23334.01 rows=5000 width=4) (actual time=4.374..2033.395 rows=246 loops=1)
Filter: (lower(value) ~~ $1)
Rows Removed by Filter: 999755
LOG: duration: 2034.259 ms plan:
Query Text: explain analyze select id from search_text_table('abc%');
Function Scan on search_text_table (cost=0.25..10.25 rows=1000 width=4) (actual time=2034.209..2034.240 rows=246 loops=1)
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------
Function Scan on search_text_table (cost=0.25..10.25 rows=1000 width=4) (actual time=2034.209..2034.240 rows=246 loops=1)
Planning time: 0.194 ms
Execution time: 2034.353 ms
(3 rows)
在前 5 次执行期间,PostgreSQL 将使用一个自定义计划,即它会为带有实际参数值的语句创建一个计划。
在第六次执行时,它检查在前 5 次执行期间选择的计划是否优于 通用计划,即不知道参数值的计划。我精心设计了我的示例,所以它不是,所以 PostgreSQL 决定从现在开始使用通用计划。
这意味着不管参数如何,它都会使用顺序扫描。您可以在EXPLAIN (ANALYZE, BUFFERS) 输出中看到通用计划——注意$1。
如果你按照你展示的那样做实验,就会发生不同的事情。
终止 PostgreSQL 连接并启动一个新连接,这样 PostgreSQL 将丢失所有缓存的查询计划。
然后像这样重试:
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('abc%');
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('abc%');
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('abc%');
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('abc%');
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('abc%');
-- requires being superuser
LOAD 'auto_explain';
SET log_min_messages = panic;
SET auto_explain.log_min_duration = 0;
SET auto_explain.log_nested_statements = on;
SET client_min_messages = log;
SET auto_explain.log_analyze = on;
EXPLAIN (ANALYZE) SELECT id FROM search_text_table('abc%');
LOG: duration: 5.123 ms plan:
Query Text: (select text_table.id from text_table where lower(value) like term)
Bitmap Heap Scan on text_table (cost=4.62..70.57 rows=100 width=4) (actual time=0.272..4.889 rows=246 loops=1)
Filter: (lower(value) ~~ 'abc%'::text)
Heap Blocks: exact=242
-> Bitmap Index Scan on text_table_lower_idx (cost=0.00..4.59 rows=17 width=0) (actual time=0.184..0.184 rows=246 loops=1)
Index Cond: ((lower(value) ~>=~ 'abc'::text) AND (lower(value) ~<~ 'abd'::text))
LOG: duration: 6.289 ms plan:
Query Text: EXPLAIN (ANALYZE) SELECT id FROM search_text_table('abc%');
Function Scan on search_text_table (cost=0.25..10.25 rows=1000 width=4) (actual time=6.220..6.264 rows=246 loops=1)
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------
Function Scan on search_text_table (cost=0.25..10.25 rows=1000 width=4) (actual time=6.220..6.264 rows=246 loops=1)
Planning time: 0.055 ms
Execution time: 6.398 ms
(3 rows)
这一次,前 5 次执行期间的自定义计划优于具有顺序扫描的通用计划,因此 PostgreSQL 继续使用自定义计划进行后续执行。
从 PostgreSQL v12 开始,您将能够使用参数 plan_cache_mode 控制此行为。