无法获取SELECT返回的多行以按特定列正确汇总

如何解决无法获取SELECT返回的多行以按特定列正确汇总

我有一个看起来像这样的Oracle表:

     test_time              test_name    test_type     test_location    test_value
     -----------------      ---------    ---------     -------------    ----------
     09/22/20 12:00:05         A            RT             Albany           200
     09/22/20 12:00:05         A            RT             Chicago          500
     09/22/20 12:00:05         B            RT             Albany           400
     09/22/20 12:00:05         B            RT             Chicago          300
     09/22/20 12:00:05         A            WPL            Albany           1500
     09/22/20 12:00:05         A            WPL            Chicago          2300
     09/22/20 12:00:05         B            WPL            Albany           2100
     09/22/20 12:00:05         B            WPL            Chicago          1900
     09/22/20 12:05:47         A            RT             Albany           300
     09/22/20 12:05:47         A            RT             Chicago          400
     09/22/20 12:05:47         B            RT             Albany           600
     09/22/20 12:05:47         B            RT             Chicago          500
     09/22/20 12:05:47         A            WPL            Albany           1700
     09/22/20 12:05:47         A            WPL            Chicago          2000
     09/22/20 12:05:47         B            WPL            Albany           1800
     09/22/20 12:05:47         B            WPL            Chicago          2400         

我想对该表运行SELECT,它将显示过去11分钟内为特定test_type(在本例中为“ RT”)引用的每个位置的平均值,并以test_name进行汇总。 “ 11分钟”用于确保我至少从每五分钟插入一次记录的脚本的两次迭代中检索行。

我希望针对此表的SELECT语句的结果如下所示:

     test_name      albany_avg_val     chicago_avg_val  
     ---------      --------------     ---------------  
      A                 250                450         
      B                 500                400    

(注意:test_name“ A”的“ albany_avg_val”反映了与test_name“ A” / test_type“ RT” / test_location“ Albany”的两次迭代关联的“ test_value”值的平均值: 00和12:05)。

我到目前为止构建的SELECT语句如下:

SELECT
   test_name,CASE test_location
      WHEN 'Albany'
         THEN ROUND(AVG( test_value ),0) albany_avg_val
      WHEN 'Chicago'
         THEN ROUND(AVG( test_value ),0) chicago_avg_val
   END
FROM
   test_table
WHERE
   test_type = 'RT' AND test_time > sysdate - interval '11' minute;

...但是它没有按预期工作。有人可以帮我解决我可能会缺少的东西吗?

解决方法

我想你想要

select
    test_name,round(avg(case when test_location = 'Albany'  then test_value end)) albany_avg_val
    round(avg(case when test_location = 'Chicago' then test_value end)) chicago_avg_val
from test_table
where
   test_type = 'rt' 
   and test_location in ('Albany','Chicago')
   and test_time > sysdate - 11 / 24 / 60
group by test_name

也就是说:

  • 使用group by

  • 在聚合函数case中移动avg()表达式

  • 每列应分开-条件表达式不能生成两列

还有...:

    where子句中的
  • 预过滤可提高查询效率

  • 对于sysdate(它是date)使用“数字”日期算术比较安全;如果要区间算术,请改用systimestamp

  • 0round()的默认精度

,

似乎您需要条件聚合:

SELECT
      test_name,AVG(CASE 
          WHEN test_location='Albany'
          THEN ROUND( test_value ) END) AS albany_avg_val,AVG(WHEN test_location='Chicago'
          THEN ROUND( test_value ) END) AS chicago_avg_val
 FROM test_table
WHERE test_type = 'RT' 
  AND test_time > sysdate - interval '11' minute;
GROUP BY test_name
0函数的

第二个参数(ROUND())是多余的。

,

请尝试这样的事情

SELECT
   test_name,ROUND(AVG(CASE when test_location='Albany'
         THEN  test_value 
         else null end),0) albany_avg_val,ROUND(AVG(CASE when test_location='Chicago'
         THEN  test_value 
         else null end),0) Chicago_avg_val
 
FROM
   test_table
WHERE
   test_type = 'RT' AND test_time > sysdate - interval '11' minute
   group by test_name; ```
,

pivot子句正是针对此类情况而设计的:以下查询汇总了所有test_type值:

select *
from (select test_name,test_location,test_type,test_value from test_table)
pivot(
  avg(test_value)
  for test_location in ('Albany ' as Albany,'Chicago' as Chicago)
);

结果:

TEST_NAME TEST_TYPE     ALBANY    CHICAGO
--------- --------- ---------- ----------
A         RT               250        450
B         RT               500        400
A         WPL             1600       2150
B         WPL             1950       2150

或者如果您只想过滤RT

select *
from (select test_name,test_value from test_table where test_type='RT')
pivot(
  avg(test_value)
  for test_location in ('Albany ' as Albany,'Chicago' as Chicago)
);

结果:

TEST_NAME     ALBANY    CHICAGO
--------- ---------- ----------
B                500        400
A                250        450

带有示例数据的完整测试用例:

with test_table(test_time,test_name,test_value) as (
select to_date('09/22/20 12:00:05','mm/dd/yy hh24:mi:ss'),'A','RT ','Albany ',200  from dual union all
select to_date('09/22/20 12:00:05','Chicago',500  from dual union all
select to_date('09/22/20 12:00:05','B',400  from dual union all
select to_date('09/22/20 12:00:05',300  from dual union all
select to_date('09/22/20 12:00:05','WPL',1500 from dual union all
select to_date('09/22/20 12:00:05',2300 from dual union all
select to_date('09/22/20 12:00:05',2100 from dual union all
select to_date('09/22/20 12:00:05',1900 from dual union all
select to_date('09/22/20 12:05:47',300  from dual union all
select to_date('09/22/20 12:05:47',400  from dual union all
select to_date('09/22/20 12:05:47',600  from dual union all
select to_date('09/22/20 12:05:47',500  from dual union all
select to_date('09/22/20 12:05:47',1700 from dual union all
select to_date('09/22/20 12:05:47',2000 from dual union all
select to_date('09/22/20 12:05:47',1800 from dual union all
select to_date('09/22/20 12:05:47',2400 from dual 
)
select *
from (select test_name,'Chicago' as Chicago)
);

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