CREATE TABLE sales AS
SELECT 'Electronics' AS category, 'Laptop' AS product, 1000 AS price UNION ALL
SELECT 'Electronics', 'Mouse', 20 UNION ALL
SELECT 'Electronics', 'Keyboard', 80 UNION ALL
SELECT 'Furniture', 'Desk', 300 UNION ALL
SELECT 'Furniture', 'Chair', 150
；

SELECT 
    category,
    concat_ws(',', 
        TRANSFORM(
            SORT_ARRAY(COLLECT_LIST(STRUCT(price, product))),
            s -> s.product
        )
    ) AS products_sorted
FROM sales
GROUP BY category
;

SELECT 
    category,
    regexp_replace(
        group_concat(concat_ws('|', rn, product), ','),
        '[0-9]+\\|', 
        ''
    ) AS products_sorted
FROM (
    SELECT 
        category,
        product,
        cast(row_number() OVER (PARTITION BY category ORDER BY price) AS STRING) AS rn
    FROM sales
) t
GROUP BY category;

select category
, LISTAGG(product, ', ') WITHIN GROUP (ORDER BY price) AS product_sorted
from sales t
group by category

SELECT 
    category,
    STRING_AGG(product, ', ') WITHIN GROUP (ORDER BY price) AS products_sorted
FROM sales
GROUP BY category;

SELECT 
    category,
    string_agg(product, ', ' ORDER BY price) AS products_sorted
FROM sales
GROUP BY category;

SELECT 
    category,
    GROUP_CONCAT(product ORDER BY price SEPARATOR ',') AS products_sorted
FROM sales
GROUP BY category;

SELECT 
    category,
    string_agg(product, ', ' ORDER BY price) AS products_sorted,
    group_concat(product, ', ' ORDER BY price DESC) AS products_sorted1
FROM sales
GROUP BY category;

--方式一，利用子查询先行排序
SELECT 
    category,
    arrayStringConcat(groupArray(product), ',') AS products_sorted
FROM (
    SELECT category, product
    FROM db_test.sales
    ORDER BY category, price ASC
)
GROUP BY category;

--方式二，Lambda表达式
SELECT 
    category,
    arrayStringConcat(
        arrayMap(
            x -> x.2,   -- 提取元组的第二个元素，即 product
            arraySort(
                x -> x.1,   -- 按元组的第一个元素（price）升序排序
                groupArray((price, product))
            )
        ),
        ','
    ) AS products_sorted
FROM db_test.sales
GROUP BY category;