join mysql select queries as 1 then group by












-1















Using information of this site I have been able to do the join but im having the issues doing the group by



is there a way to get the below statements to run as 1



Query1



SELECT count(location),date 
from `filter`
where location != "red"
group by date


Query2



SELECT count(location),date 
from `filter`
where location = "red"
group by date


I did try the below but it outputs the wrong data



Query3



SELECT 
date,
(select count(location) from `filter` where location != "red") AS indoor,
(select count(location) from `filter` where location = "red") AS outdoor
from `filter` group by date;


SQL Fiddle for each query



http://sqlfiddle.com/#!9/17ebea/4 (query1)



http://sqlfiddle.com/#!9/17ebea/6 (query2)



http://sqlfiddle.com/#!9/90c945/1 (query3)










share|improve this question

























  • Well done! Pretty well formulated question, considering you are new :)

    – Madhur Bhaiya
    Nov 26 '18 at 11:12











  • thank you I took time to read the other question and tips people had given them on how to write question for clearer understanding

    – a.parkes
    Nov 26 '18 at 11:14
















-1















Using information of this site I have been able to do the join but im having the issues doing the group by



is there a way to get the below statements to run as 1



Query1



SELECT count(location),date 
from `filter`
where location != "red"
group by date


Query2



SELECT count(location),date 
from `filter`
where location = "red"
group by date


I did try the below but it outputs the wrong data



Query3



SELECT 
date,
(select count(location) from `filter` where location != "red") AS indoor,
(select count(location) from `filter` where location = "red") AS outdoor
from `filter` group by date;


SQL Fiddle for each query



http://sqlfiddle.com/#!9/17ebea/4 (query1)



http://sqlfiddle.com/#!9/17ebea/6 (query2)



http://sqlfiddle.com/#!9/90c945/1 (query3)










share|improve this question

























  • Well done! Pretty well formulated question, considering you are new :)

    – Madhur Bhaiya
    Nov 26 '18 at 11:12











  • thank you I took time to read the other question and tips people had given them on how to write question for clearer understanding

    – a.parkes
    Nov 26 '18 at 11:14














-1












-1








-1








Using information of this site I have been able to do the join but im having the issues doing the group by



is there a way to get the below statements to run as 1



Query1



SELECT count(location),date 
from `filter`
where location != "red"
group by date


Query2



SELECT count(location),date 
from `filter`
where location = "red"
group by date


I did try the below but it outputs the wrong data



Query3



SELECT 
date,
(select count(location) from `filter` where location != "red") AS indoor,
(select count(location) from `filter` where location = "red") AS outdoor
from `filter` group by date;


SQL Fiddle for each query



http://sqlfiddle.com/#!9/17ebea/4 (query1)



http://sqlfiddle.com/#!9/17ebea/6 (query2)



http://sqlfiddle.com/#!9/90c945/1 (query3)










share|improve this question
















Using information of this site I have been able to do the join but im having the issues doing the group by



is there a way to get the below statements to run as 1



Query1



SELECT count(location),date 
from `filter`
where location != "red"
group by date


Query2



SELECT count(location),date 
from `filter`
where location = "red"
group by date


I did try the below but it outputs the wrong data



Query3



SELECT 
date,
(select count(location) from `filter` where location != "red") AS indoor,
(select count(location) from `filter` where location = "red") AS outdoor
from `filter` group by date;


SQL Fiddle for each query



http://sqlfiddle.com/#!9/17ebea/4 (query1)



http://sqlfiddle.com/#!9/17ebea/6 (query2)



http://sqlfiddle.com/#!9/90c945/1 (query3)







mysql sql






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 26 '18 at 11:22









Madhur Bhaiya

19.6k62336




19.6k62336










asked Nov 26 '18 at 11:10









a.parkesa.parkes

165




165













  • Well done! Pretty well formulated question, considering you are new :)

    – Madhur Bhaiya
    Nov 26 '18 at 11:12











  • thank you I took time to read the other question and tips people had given them on how to write question for clearer understanding

    – a.parkes
    Nov 26 '18 at 11:14



















  • Well done! Pretty well formulated question, considering you are new :)

    – Madhur Bhaiya
    Nov 26 '18 at 11:12











  • thank you I took time to read the other question and tips people had given them on how to write question for clearer understanding

    – a.parkes
    Nov 26 '18 at 11:14

















Well done! Pretty well formulated question, considering you are new :)

– Madhur Bhaiya
Nov 26 '18 at 11:12





Well done! Pretty well formulated question, considering you are new :)

– Madhur Bhaiya
Nov 26 '18 at 11:12













thank you I took time to read the other question and tips people had given them on how to write question for clearer understanding

– a.parkes
Nov 26 '18 at 11:14





thank you I took time to read the other question and tips people had given them on how to write question for clearer understanding

– a.parkes
Nov 26 '18 at 11:14












3 Answers
3






active

oldest

votes


















0














SELECT 
date,
COUNT(CASE WHEN location <> 'red' THEN location ELSE NULL END) AS indoor,
COUNT(CASE WHEN location = 'red' THEN location ELSE NULL END) AS outdoor
FROM filter
GROUP BY date;


https://dev.mysql.com/doc/refman/8.0/en/control-flow-functions.html#operator_case






share|improve this answer
























  • thank you works exactly as i'd hoped :)

    – a.parkes
    Nov 26 '18 at 11:26



















0














You can do conditional aggregation using CASE.. WHEN expressions.



SELECT 
date,
COUNT(CASE WHEN location = 'red' THEN location END) AS outdoor,
COUNT(CASE WHEN location <> 'red' THEN location END) AS indoor
FROM `filter`
GROUP BY date;


View on DB Fiddle



Result



| date       | outdoor | indoor |
| ---------- | ------- | ------ |
| 2018-11-14 | 1 | 4 |
| 2018-11-15 | 1 | 0 |
| 2018-11-16 | 0 | 3 |
| 2018-11-17 | 1 | 1 |
| 2018-11-18 | 0 | 1 |
| 2018-11-19 | 0 | 2 |
| 2018-11-20 | 0 | 1 |




You can also use the following other variants, like using COUNT(1) instead, or using SUM(..) function.



Alternative #1



SELECT 
date,
COUNT(CASE WHEN location = 'red' THEN 1 END) AS outdoor,
COUNT(CASE WHEN location <> 'red' THEN 1 END) AS indoor
FROM `filter`
GROUP BY date;


Alternative #2



SELECT 
date,
SUM(CASE WHEN location = 'red' THEN 1 ELSE 0 END) AS outdoor,
SUM(CASE WHEN location <> 'red' THEN 1 ELSE 0 END) AS indoor
FROM `filter`
GROUP BY date;





share|improve this answer

































    0














    In MySQL, I would use the shortcut that allows you to sum() boolean variables:



    select date, sum(location = 'red') as red,
    sum(location <> 'red') as not_red
    from filter
    group by date ;


    Notes:




    • Use single quotes for string and date constants -- not double quotes. Single quotes are the standard delimiter.


    • <> is the SQL inequality operator, although != is also supported by most databases.

    • This does not count NULL values.


    To handle NULL values, you might want:



           sum(not location <=> 'red') as not_red





    share|improve this answer
























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      3 Answers
      3






      active

      oldest

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      3 Answers
      3






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

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      0














      SELECT 
      date,
      COUNT(CASE WHEN location <> 'red' THEN location ELSE NULL END) AS indoor,
      COUNT(CASE WHEN location = 'red' THEN location ELSE NULL END) AS outdoor
      FROM filter
      GROUP BY date;


      https://dev.mysql.com/doc/refman/8.0/en/control-flow-functions.html#operator_case






      share|improve this answer
























      • thank you works exactly as i'd hoped :)

        – a.parkes
        Nov 26 '18 at 11:26
















      0














      SELECT 
      date,
      COUNT(CASE WHEN location <> 'red' THEN location ELSE NULL END) AS indoor,
      COUNT(CASE WHEN location = 'red' THEN location ELSE NULL END) AS outdoor
      FROM filter
      GROUP BY date;


      https://dev.mysql.com/doc/refman/8.0/en/control-flow-functions.html#operator_case






      share|improve this answer
























      • thank you works exactly as i'd hoped :)

        – a.parkes
        Nov 26 '18 at 11:26














      0












      0








      0







      SELECT 
      date,
      COUNT(CASE WHEN location <> 'red' THEN location ELSE NULL END) AS indoor,
      COUNT(CASE WHEN location = 'red' THEN location ELSE NULL END) AS outdoor
      FROM filter
      GROUP BY date;


      https://dev.mysql.com/doc/refman/8.0/en/control-flow-functions.html#operator_case






      share|improve this answer













      SELECT 
      date,
      COUNT(CASE WHEN location <> 'red' THEN location ELSE NULL END) AS indoor,
      COUNT(CASE WHEN location = 'red' THEN location ELSE NULL END) AS outdoor
      FROM filter
      GROUP BY date;


      https://dev.mysql.com/doc/refman/8.0/en/control-flow-functions.html#operator_case







      share|improve this answer












      share|improve this answer



      share|improve this answer










      answered Nov 26 '18 at 11:20









      Siddharth NayarSiddharth Nayar

      28915




      28915













      • thank you works exactly as i'd hoped :)

        – a.parkes
        Nov 26 '18 at 11:26



















      • thank you works exactly as i'd hoped :)

        – a.parkes
        Nov 26 '18 at 11:26

















      thank you works exactly as i'd hoped :)

      – a.parkes
      Nov 26 '18 at 11:26





      thank you works exactly as i'd hoped :)

      – a.parkes
      Nov 26 '18 at 11:26













      0














      You can do conditional aggregation using CASE.. WHEN expressions.



      SELECT 
      date,
      COUNT(CASE WHEN location = 'red' THEN location END) AS outdoor,
      COUNT(CASE WHEN location <> 'red' THEN location END) AS indoor
      FROM `filter`
      GROUP BY date;


      View on DB Fiddle



      Result



      | date       | outdoor | indoor |
      | ---------- | ------- | ------ |
      | 2018-11-14 | 1 | 4 |
      | 2018-11-15 | 1 | 0 |
      | 2018-11-16 | 0 | 3 |
      | 2018-11-17 | 1 | 1 |
      | 2018-11-18 | 0 | 1 |
      | 2018-11-19 | 0 | 2 |
      | 2018-11-20 | 0 | 1 |




      You can also use the following other variants, like using COUNT(1) instead, or using SUM(..) function.



      Alternative #1



      SELECT 
      date,
      COUNT(CASE WHEN location = 'red' THEN 1 END) AS outdoor,
      COUNT(CASE WHEN location <> 'red' THEN 1 END) AS indoor
      FROM `filter`
      GROUP BY date;


      Alternative #2



      SELECT 
      date,
      SUM(CASE WHEN location = 'red' THEN 1 ELSE 0 END) AS outdoor,
      SUM(CASE WHEN location <> 'red' THEN 1 ELSE 0 END) AS indoor
      FROM `filter`
      GROUP BY date;





      share|improve this answer






























        0














        You can do conditional aggregation using CASE.. WHEN expressions.



        SELECT 
        date,
        COUNT(CASE WHEN location = 'red' THEN location END) AS outdoor,
        COUNT(CASE WHEN location <> 'red' THEN location END) AS indoor
        FROM `filter`
        GROUP BY date;


        View on DB Fiddle



        Result



        | date       | outdoor | indoor |
        | ---------- | ------- | ------ |
        | 2018-11-14 | 1 | 4 |
        | 2018-11-15 | 1 | 0 |
        | 2018-11-16 | 0 | 3 |
        | 2018-11-17 | 1 | 1 |
        | 2018-11-18 | 0 | 1 |
        | 2018-11-19 | 0 | 2 |
        | 2018-11-20 | 0 | 1 |




        You can also use the following other variants, like using COUNT(1) instead, or using SUM(..) function.



        Alternative #1



        SELECT 
        date,
        COUNT(CASE WHEN location = 'red' THEN 1 END) AS outdoor,
        COUNT(CASE WHEN location <> 'red' THEN 1 END) AS indoor
        FROM `filter`
        GROUP BY date;


        Alternative #2



        SELECT 
        date,
        SUM(CASE WHEN location = 'red' THEN 1 ELSE 0 END) AS outdoor,
        SUM(CASE WHEN location <> 'red' THEN 1 ELSE 0 END) AS indoor
        FROM `filter`
        GROUP BY date;





        share|improve this answer




























          0












          0








          0







          You can do conditional aggregation using CASE.. WHEN expressions.



          SELECT 
          date,
          COUNT(CASE WHEN location = 'red' THEN location END) AS outdoor,
          COUNT(CASE WHEN location <> 'red' THEN location END) AS indoor
          FROM `filter`
          GROUP BY date;


          View on DB Fiddle



          Result



          | date       | outdoor | indoor |
          | ---------- | ------- | ------ |
          | 2018-11-14 | 1 | 4 |
          | 2018-11-15 | 1 | 0 |
          | 2018-11-16 | 0 | 3 |
          | 2018-11-17 | 1 | 1 |
          | 2018-11-18 | 0 | 1 |
          | 2018-11-19 | 0 | 2 |
          | 2018-11-20 | 0 | 1 |




          You can also use the following other variants, like using COUNT(1) instead, or using SUM(..) function.



          Alternative #1



          SELECT 
          date,
          COUNT(CASE WHEN location = 'red' THEN 1 END) AS outdoor,
          COUNT(CASE WHEN location <> 'red' THEN 1 END) AS indoor
          FROM `filter`
          GROUP BY date;


          Alternative #2



          SELECT 
          date,
          SUM(CASE WHEN location = 'red' THEN 1 ELSE 0 END) AS outdoor,
          SUM(CASE WHEN location <> 'red' THEN 1 ELSE 0 END) AS indoor
          FROM `filter`
          GROUP BY date;





          share|improve this answer















          You can do conditional aggregation using CASE.. WHEN expressions.



          SELECT 
          date,
          COUNT(CASE WHEN location = 'red' THEN location END) AS outdoor,
          COUNT(CASE WHEN location <> 'red' THEN location END) AS indoor
          FROM `filter`
          GROUP BY date;


          View on DB Fiddle



          Result



          | date       | outdoor | indoor |
          | ---------- | ------- | ------ |
          | 2018-11-14 | 1 | 4 |
          | 2018-11-15 | 1 | 0 |
          | 2018-11-16 | 0 | 3 |
          | 2018-11-17 | 1 | 1 |
          | 2018-11-18 | 0 | 1 |
          | 2018-11-19 | 0 | 2 |
          | 2018-11-20 | 0 | 1 |




          You can also use the following other variants, like using COUNT(1) instead, or using SUM(..) function.



          Alternative #1



          SELECT 
          date,
          COUNT(CASE WHEN location = 'red' THEN 1 END) AS outdoor,
          COUNT(CASE WHEN location <> 'red' THEN 1 END) AS indoor
          FROM `filter`
          GROUP BY date;


          Alternative #2



          SELECT 
          date,
          SUM(CASE WHEN location = 'red' THEN 1 ELSE 0 END) AS outdoor,
          SUM(CASE WHEN location <> 'red' THEN 1 ELSE 0 END) AS indoor
          FROM `filter`
          GROUP BY date;






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 26 '18 at 11:20

























          answered Nov 26 '18 at 11:14









          Madhur BhaiyaMadhur Bhaiya

          19.6k62336




          19.6k62336























              0














              In MySQL, I would use the shortcut that allows you to sum() boolean variables:



              select date, sum(location = 'red') as red,
              sum(location <> 'red') as not_red
              from filter
              group by date ;


              Notes:




              • Use single quotes for string and date constants -- not double quotes. Single quotes are the standard delimiter.


              • <> is the SQL inequality operator, although != is also supported by most databases.

              • This does not count NULL values.


              To handle NULL values, you might want:



                     sum(not location <=> 'red') as not_red





              share|improve this answer




























                0














                In MySQL, I would use the shortcut that allows you to sum() boolean variables:



                select date, sum(location = 'red') as red,
                sum(location <> 'red') as not_red
                from filter
                group by date ;


                Notes:




                • Use single quotes for string and date constants -- not double quotes. Single quotes are the standard delimiter.


                • <> is the SQL inequality operator, although != is also supported by most databases.

                • This does not count NULL values.


                To handle NULL values, you might want:



                       sum(not location <=> 'red') as not_red





                share|improve this answer


























                  0












                  0








                  0







                  In MySQL, I would use the shortcut that allows you to sum() boolean variables:



                  select date, sum(location = 'red') as red,
                  sum(location <> 'red') as not_red
                  from filter
                  group by date ;


                  Notes:




                  • Use single quotes for string and date constants -- not double quotes. Single quotes are the standard delimiter.


                  • <> is the SQL inequality operator, although != is also supported by most databases.

                  • This does not count NULL values.


                  To handle NULL values, you might want:



                         sum(not location <=> 'red') as not_red





                  share|improve this answer













                  In MySQL, I would use the shortcut that allows you to sum() boolean variables:



                  select date, sum(location = 'red') as red,
                  sum(location <> 'red') as not_red
                  from filter
                  group by date ;


                  Notes:




                  • Use single quotes for string and date constants -- not double quotes. Single quotes are the standard delimiter.


                  • <> is the SQL inequality operator, although != is also supported by most databases.

                  • This does not count NULL values.


                  To handle NULL values, you might want:



                         sum(not location <=> 'red') as not_red






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 26 '18 at 11:37









                  Gordon LinoffGordon Linoff

                  793k36316419




                  793k36316419






























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