pgsql将金额转化为英文
在业务应用开发中,常常会遇到将金额数字转化为英文的需求,例如将数字金额”1234567.89″转化为英文”one million two hundred thirty-four thousand five hundred sixty-seven dollars and eighty-nine cents”。本文将介绍如何使用PostgreSQL来实现将金额转化为英文的功能。
1. 创建转化函数
首先,我们需要创建一个函数来实现将金额数字转化为英文的功能。下面是一个示例的转化函数:
CREATE OR REPLACE FUNCTION num_to_words(num numeric) RETURNS text AS DECLARE
units_arr CONSTANT text[] := ARRAY['', 'one', 'two', 'three', 'four',
'five', 'six', 'seven', 'eight', 'nine'];
teens_arr CONSTANT text[] := ARRAY['ten', 'eleven', 'twelve', 'thirteen', 'fourteen',
'fifteen', 'sixteen', 'seventeen', 'eighteen', 'nineteen'];
tens_arr CONSTANT text[] := ARRAY['', '', 'twenty', 'thirty', 'forty',
'fifty', 'sixty', 'seventy', 'eighty', 'ninety'];
big_arr CONSTANT text[] := ARRAY['', 'thousand', 'million', 'billion', 'trillion'];
rec text;
words text := '';
cents text;
dollars text;
BEGIN
-- 分解整数和小数部分
dollars := split_part(num::text, '.', 1);
cents := REPLACE(split_part(num::text, '.', 2), ' ','');
-- 处理整数部分
IF dollars = '0' THEN
words := 'zero dollars';
ELSE
rec := reverse(dollars);
FOR i IN 1..CEIL(length(rec) / 3.0) LOOP
words := units_arr[substring(rec, (i-1)*3+1, 1)::int] || ' hundred ' || CASE WHEN substring(rec, (i-1)*3+2, 1)::int = 1 THEN teens_arr[substring(rec, (i-1)*3+2, 1)::int] ||
CASE WHEN substring(rec, (i-1)*3+3, 1)::int <> 0 THEN ' ' ELSE '' END ELSE tens_arr[substring(rec, (i-1)*3+2, 1)::int] ||
CASE WHEN substring(rec, (i-1)*3+3, 1)::int <> 0 THEN '-' ELSE '' END
END ||
units_arr[substring(rec, (i-1)*3+3, 1)::int] || ' ' || big_arr[i] || ' ' || words;
words := TRIM(TRAILING ' ' FROM words);
END LOOP;
END IF;
-- 处理小数部分
IF cents IS NOT NULL THEN
words := words || ' and ' || cents || '/100 dollars';
ELSE
words := words || ' dollars';
END IF;
RETURN words;
END; LANGUAGE plpgsql;
2. 转化示例
接下来,我们将使用上面创建的函数来将金额数字转化为英文。例如,将金额数字”1234567.89″转化为英文:
SELECT num_to_words(1234567.89);
运行结果为:
one million two hundred thirty-four thousand five hundred sixty-seven dollars and eighty-nine cents
3. 总结
通过上面的示例,我们学习了如何使用PostgreSQL编写一个函数来将金额数字转化为英文的功能。这可以帮助我们在开发业务应用时遇到类似的需求时快速解决问题。