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索引顾问:查询优化

Index advisor 是一个 Postgres 扩展,用来推荐索引以提高查询性能。

特点:

🌐 Features:

  • 支持泛型参数,例如 $1$2
  • 支持物化视图
  • 识别被视图隐藏的表/列
  • 跳过重复的索引

index_advisor 可以直接通过 Supabase Studio 访问,方法是导航到 查询性能报告,然后选择一个查询,再点击“索引”标签。

Supabase Studio index_advisor integration.

或者,你可以直接通过 SQL 使用 index_advisor。

🌐 Alternatively, you can use index_advisor directly via SQL.

例如:

🌐 For example:

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select
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*
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from
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index_advisor('select book.id from book where title = $1');
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startup_cost_before | startup_cost_after | total_cost_before | total_cost_after | index_statements | errors
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---------------------+--------------------+-------------------+------------------+-----------------------------------------------------+--------
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0.00 | 1.17 | 25.88 | 6.40 | {"CREATE INDEX ON public.book USING btree (title)"},| {}
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(1 row)

安装 #

🌐 Installation

要开始,请运行命令启用 index_advisor

🌐 To get started, enable index_advisor by running

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create extension index_advisor;

应用接口 #

🌐 API

索引顾问提供了一个单一的函数 index_advisor(query text),它接受一个查询并搜索一组能够提高查询执行时间的 SQL DDL create index 语句。

🌐 Index advisor exposes a single function index_advisor(query text) that accepts a query and searches for a set of SQL DDL create index statements that improve the query's execution time.

这个函数的签名是:

🌐 The function's signature is:

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index_advisor(query text)
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returns
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table (
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startup_cost_before jsonb,
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startup_cost_after jsonb,
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total_cost_before jsonb,
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total_cost_after jsonb,
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index_statements text[],
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errors text[]
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)

用法 #

🌐 Usage

作为一个最简单的例子,index_advisor 函数可以接收一个对未索引列有过滤条件的单表查询。

🌐 As a minimal example, the index_advisor function can be given a single table query with a filter on an unindexed column.

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create extension if not exists index_advisor cascade;
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create table book(
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id int primary key,
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title text not null
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);
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select
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*
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from
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index_advisor('select book.id from book where title = $1');
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startup_cost_before | startup_cost_after | total_cost_before | total_cost_after | index_statements | errors
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---------------------+--------------------+-------------------+------------------+-----------------------------------------------------+--------
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0.00 | 1.17 | 25.88 | 6.40 | {"CREATE INDEX ON public.book USING btree (title)"},| {}
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(1 row)

并会返回一行,建议在未索引的列上建立索引。

🌐 and will return a row recommending an index on the unindexed column.

更复杂的查询可能会生成额外的推荐索引:

🌐 More complex queries may generate additional suggested indexes:

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create extension if not exists index_advisor cascade;
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create table author(
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id serial primary key,
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name text not null
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);
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create table publisher(
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id serial primary key,
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name text not null,
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corporate_address text
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);
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create table book(
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id serial primary key,
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author_id int not null references author(id),
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publisher_id int not null references publisher(id),
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title text
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);
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create table review(
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id serial primary key,
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book_id int references book(id),
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body text not null
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);
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select
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*
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from
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index_advisor('
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select
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book.id,
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book.title,
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publisher.name as publisher_name,
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author.name as author_name,
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review.body review_body
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from
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book
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join publisher
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on book.publisher_id = publisher.id
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join author
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on book.author_id = author.id
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join review
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on book.id = review.book_id
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where
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author.id = $1
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and publisher.id = $2
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');
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startup_cost_before | startup_cost_after | total_cost_before | total_cost_after | index_statements | errors
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---------------------+--------------------+-------------------+------------------+-----------------------------------------------------------+--------
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27.26 | 12.77 | 68.48 | 42.37 | {"CREATE INDEX ON public.book USING btree (author_id)", | {}
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"CREATE INDEX ON public.book USING btree (publisher_id)",
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"CREATE INDEX ON public.review USING btree (book_id)"}
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(3 rows)

限制 #

🌐 Limitations

  • index_advisor 只会推荐单列 B 树索引。更复杂的索引将在以后的版本中支持。
  • 当泛型参数的类型无法从上下文中判断时,会在 errors 字段返回错误。要解决这些错误,可以对参数进行显式类型转换。例如:$1::int

资源 #

🌐 Resources