PostgreSQL上的表索引以提高性能 [英] Table Indexing on PostgreSQL for performance

问题描述

我正在解决PostgreSQL上的性能问题，并且有下表：

I am solving performance issues on PostgreSQL and I have the following table:

 CREATE TABLE main_transaction (
   id integer NOT NULL DEFAULT nextval('main_transaction_id_seq'::regclass),
   description character varying(255) NOT NULL,
   request_no character varying(18),
   account character varying(50),
   ....
 )

上表具有34列，包括3个 FOREIGN KEY s，它具有超过100万行的数据。我有以下条件 SELECT 查询：

Above table has 34 columns including 3 FOREIGN KEYs and it has over 1 Million rows data. I have the following conditional SELECT query:

SELECT * FROM main_transaction
WHERE upper(request_no) LIKE upper(concat('%','20080417-0258-0697','%'))

在2秒钟内返回结果。我想通过使用表索引来减少工作时间。到目前为止，我已经使用了 btree 索引。但是，我没有注意到有任何快速结果。我的问题是，如何提高上述查询的性能？

Returning the result in over 2 seconds. I want to decrease working time by using table indexing. So far, I have used btree indexing. However, I didn't notice any fast result. My question is, how can I improve performance for above query?

推荐答案

您唯一的机会来搜索以％是三字母索引：

Your only chance to search for a pattern that begins with % is a trigram index:

CREATE EXTENSION pg_trgm;

CREATE INDEX ON main_transaction
   USING gin (upper(request_no) gin_trgm_ops);

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