Certain operations are too complex to perform directly using the client libraries.

解决方案 在操作过于复杂或者无法直接用客户端库实现时，利用数据库中的存储函数可能会更有帮助。

按照这些步骤来创建并运行一个存储函数：

🌐 Follow these steps to create and run a stored function:

创建存储函数：

在你的数据库仪表板上，进入SQL 查询编辑器。运行以下 SQL 脚本来创建一个针对你的特定复杂查询的存储函数：

🌐 Go to the SQL query editor on your database dashboard. Run the following SQL script to create a stored function tailored to your specific complex query:

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DROP FUNCTION IF EXISTS get_my_complex_query;
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CREATE FUNCTION get_my_complex_query(parameter INT)
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RETURNS TABLE (column1 INTEGER, column2 VARCHAR, column3 DATE) AS
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$$
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BEGIN
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    RETURN QUERY
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    SELECT t1.column1, t1.column2, t2.column3
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    FROM "TableName1" AS t1
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    INNER JOIN "TableName2" AS t2 ON t1.column = t2.column
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    INNER JOIN "TableName3" AS t3 ON t2.another_column = t3.another_column
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    LEFT JOIN "TableName4" AS t4 ON t3.some_column = t4.some_column
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    WHERE t2.column = parameter
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    AND t3.column_name = 'some_value';
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END;
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$$
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LANGUAGE plpgsql VOLATILE;

调用存储函数：

在你的应用代码中使用 supabase.rpc 方法来调用存储函数。把 "get_my_complex_query" 替换成合适的函数名，并提供必要的参数：

🌐 Use the supabase.rpc method to call the stored function from your application code. Replace "get_my_complex_query" with the appropriate function name and provide the necessary parameters:

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supabase.rpc("get_my_complex_query", { parameter: 1 })
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  .then(response => {
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    // Handle the response
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  })
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  .catch(error => {
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    // Handle errors
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  });

更多资源：

想了解更多关于 Postgres 数据库函数的信息，请参考以下资源： Supabase 函数

🌐 For more information on Postgres database functions, refer to the following resource: Supabase Functions