我需要帮助写一份关于甲骨文的老化报告。报告应如下所示:
aging file to submit total 17
aging file to submit 0-2 days 3
aging file to submit 2-4 days 4
aging file to submit 4-6 days 4
aging file to submit 6-8 days 2
aging file to submit 8-10 days 4我可以为每个部分创建一个查询,然后合并所有结果如下:
select 'aging file to submit total ' || count(*) from FILES_TO_SUBMIT where trunc(DUE_DATE) > trunc(sysdate) -10
union all
select 'aging file to submit 0-2 days ' || count(*) from FILES_TO_SUBMIT where trunc(DUE_DATE) <= trunc(sysdate) and trunc(DUE_DATE) >= trunc(sysdate-2)
union all
select 'aging file to submit 2-4 days ' || count(*) from FILES_TO_SUBMIT where trunc(DUE_DATE) <= trunc(sysdate-2) and trunc(DUE_DATE) >= trunc(sysdate-4) ;我想知道是否有更好的方法使用甲骨文分析函数或任何其他查询,以获得更好的性能?
样本数据:
CREATE TABLE files_to_submit(file_id int, file_name varchar(255),due_date date);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 1, 'file_' || 1, sysdate);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 2, 'file_' || 2, sysdate -5);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 3, 'file_' || 3, sysdate -4);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 4, 'file_' || 4, sysdate);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 5, 'file_' || 5, sysdate-3);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 6, 'file_' || 6, sysdate-7);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 7, 'file_' || 7, sysdate-10);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 8, 'file_' || 8, sysdate-12);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 9, 'file_' || 9, sysdate-3);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 10, 'file_' || 10, sysdate-5);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 11, 'file_' || 11, sysdate-6);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 12, 'file_' || 12, sysdate-7);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 13, 'file_' || 13, sysdate-5);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 14, 'file_' || 14, sysdate-4);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 15, 'file_' || 15, sysdate-2);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 16, 'file_' || 16, sysdate-6);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 17, 'file_' || 17, sysdate-6);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 18, 'file_' || 18, sysdate-5);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 19, 'file_' || 19, sysdate-10);
INSERT INTO FILES_TO_SUBMIT(FILE_ID,FILE_NAME,DUE_DATE) VALUES ( 20, 'file_' || 20, sysdate-9);
DROP TABLE files_to_submit;发布于 2015-03-06 11:48:01
请允许我建议桶,桶。这将将日期范围划分为相同的大小。因为你想要10天的范围分为2天的小组,桶的大小是10 /2= 5。
查询:
SELECT
CASE GROUPING(bucket)
WHEN 1
THEN 'aging file to submit Total'
ELSE 'aging file to submit ' || (bucket-1)*2 || '-' || (bucket)*2 || ' days'
END AS bucket_number,
COUNT(1) AS files
FROM (
SELECT
WIDTH_BUCKET(due_date, sysdate, sysdate-10, 5) bucket
FROM
files_to_submit
WHERE
due_date >= sysdate-10
)
GROUP BY
ROLLUP(bucket)
ORDER BY
bucket NULLS FIRST;结果:
BUCKET_NUMBER FILES
------------------------------------ ----------
aging file to submit Total 17
aging file to submit 0-2 days 2
aging file to submit 2-4 days 3
aging file to submit 4-6 days 6
aging file to submit 6-8 days 5
aging file to submit 8-10 days 1发布于 2015-03-03 07:57:28
您可以使用这种简单的方法来获取所有天的报告(没有总计):
select
'aging file to submit '|| trunc(dist/2)*2 ||'-'|| (trunc(dist/2)*2+2) || ' days: ' || count(*)
from (
select trunc(sysdate) - trunc(DUE_DATE) as dist
from FILES_TO_SUBMIT
--where trunc(DUE_DATE) > trunc(sysdate) -10
)
group by trunc(dist/2)
order by trunc(dist/2);唯一重要的是天数(dist(ance)字段)。
如果您希望在相同的扫描中也使用“总计”:
select
'aging file to submit '||
case
when trunc(dist/2) is null
then 'Total '
else trunc(dist/2)*2 ||'-'|| (trunc(dist/2)*2+2) || ' days: '
end ||
count(*)
from (
select trunc(sysdate) - trunc(DUE_DATE) as dist
from FILES_TO_SUBMIT
where trunc(DUE_DATE) > trunc(sysdate) -10
)
group by rollup(trunc(dist/2))
order by trunc(dist/2)
nulls first;提示:如果您有数百天的历史,一个索引将是有用的。(注意:如果您的表很大,>100百万,创建索引将需要一些时间)
create index index_name on files_to_submit(due_date);然后将条件更改为:
where DUE_DATE > trunc(sysdate) - 10这样可以加快速度
发布于 2015-02-27 02:44:32
我使用您的样本数据得到了不同的计数--我得到了19条总数,而不是17条(这似乎是合适的,因为样本数据中的20条记录中只有一条超出了范围):
WITH d1 AS (
SELECT 2 AS day_cnt FROM dual
UNION ALL
SELECT 4 FROM dual
UNION ALL
SELECT 6 FROM dual
UNION ALL
SELECT 8 FROM dual
UNION ALL
SELECT 10 FROM dual
)
SELECT NVL(title, 'aging file to submit total') AS title, COUNT(DISTINCT file_id)
FROM (
SELECT 'aging file to submit ' || prev_day || '-' || day_cnt || ' days' AS title, f1.file_id
FROM (
SELECT day_cnt, NVL(LAG(day_cnt) OVER ( ORDER BY day_cnt ), 0) AS prev_day
FROM d1
) d2, files_to_submit f1
WHERE TRUNC(f1.due_date) <= TRUNC(SYSDATE - d2.prev_day)
AND TRUNC(f1.due_date) >= TRUNC(SYSDATE - d2.day_cnt)
) GROUP BY ROLLUP(title);此外,日范围的计数不正确(它们加起来不等于19,也就是说),因为由于使用TRUNC()并包括两个结束情况,这些文件可以被计算两次。但我相信你可以调整上面的内容来满足你的需求。
https://stackoverflow.com/questions/28753594
复制相似问题