I want to display a summary like this based on the three tables









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My 3 MYSQL tables are as follows:



Table 1: citizen



=============================
ID | Name | Sex | Address |
=============================
5 | James | Male | India
6 | Shella|Female | India
7 | Jan | Male | NY
8 | May | Female | USA
==============================


Table 2: benefits



========================== 
ID| benefits
==========================
1 | SSS
2 | Coco Life
3 | PhiHealth
4 | Sunlife
==========================


Table 3: pensioners



============================
ID| benefits_ID | citizen_ID
============================
1 | 1 | 5
2 | 2 | 6
3 | 1 | 7
4 | 4 | 7
==========================


I want to display that looks like this:



====================================================================
Address | Total Citizen | Male | Female | SSS | Coco Life | Others |
====================================================================
India | 2 | 1 | 1 | 1 | 1 | 0 |
NY | 1 | 1 | 0 | 1 | 0 | 1 |
USA | 1 | 0 | 1 | 0 | 0 | 0 |
==================================================================


Anybody can give me a hint on how to do this?










share|improve this question

























    up vote
    1
    down vote

    favorite












    My 3 MYSQL tables are as follows:



    Table 1: citizen



    =============================
    ID | Name | Sex | Address |
    =============================
    5 | James | Male | India
    6 | Shella|Female | India
    7 | Jan | Male | NY
    8 | May | Female | USA
    ==============================


    Table 2: benefits



    ========================== 
    ID| benefits
    ==========================
    1 | SSS
    2 | Coco Life
    3 | PhiHealth
    4 | Sunlife
    ==========================


    Table 3: pensioners



    ============================
    ID| benefits_ID | citizen_ID
    ============================
    1 | 1 | 5
    2 | 2 | 6
    3 | 1 | 7
    4 | 4 | 7
    ==========================


    I want to display that looks like this:



    ====================================================================
    Address | Total Citizen | Male | Female | SSS | Coco Life | Others |
    ====================================================================
    India | 2 | 1 | 1 | 1 | 1 | 0 |
    NY | 1 | 1 | 0 | 1 | 0 | 1 |
    USA | 1 | 0 | 1 | 0 | 0 | 0 |
    ==================================================================


    Anybody can give me a hint on how to do this?










    share|improve this question























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      My 3 MYSQL tables are as follows:



      Table 1: citizen



      =============================
      ID | Name | Sex | Address |
      =============================
      5 | James | Male | India
      6 | Shella|Female | India
      7 | Jan | Male | NY
      8 | May | Female | USA
      ==============================


      Table 2: benefits



      ========================== 
      ID| benefits
      ==========================
      1 | SSS
      2 | Coco Life
      3 | PhiHealth
      4 | Sunlife
      ==========================


      Table 3: pensioners



      ============================
      ID| benefits_ID | citizen_ID
      ============================
      1 | 1 | 5
      2 | 2 | 6
      3 | 1 | 7
      4 | 4 | 7
      ==========================


      I want to display that looks like this:



      ====================================================================
      Address | Total Citizen | Male | Female | SSS | Coco Life | Others |
      ====================================================================
      India | 2 | 1 | 1 | 1 | 1 | 0 |
      NY | 1 | 1 | 0 | 1 | 0 | 1 |
      USA | 1 | 0 | 1 | 0 | 0 | 0 |
      ==================================================================


      Anybody can give me a hint on how to do this?










      share|improve this question













      My 3 MYSQL tables are as follows:



      Table 1: citizen



      =============================
      ID | Name | Sex | Address |
      =============================
      5 | James | Male | India
      6 | Shella|Female | India
      7 | Jan | Male | NY
      8 | May | Female | USA
      ==============================


      Table 2: benefits



      ========================== 
      ID| benefits
      ==========================
      1 | SSS
      2 | Coco Life
      3 | PhiHealth
      4 | Sunlife
      ==========================


      Table 3: pensioners



      ============================
      ID| benefits_ID | citizen_ID
      ============================
      1 | 1 | 5
      2 | 2 | 6
      3 | 1 | 7
      4 | 4 | 7
      ==========================


      I want to display that looks like this:



      ====================================================================
      Address | Total Citizen | Male | Female | SSS | Coco Life | Others |
      ====================================================================
      India | 2 | 1 | 1 | 1 | 1 | 0 |
      NY | 1 | 1 | 0 | 1 | 0 | 1 |
      USA | 1 | 0 | 1 | 0 | 0 | 0 |
      ==================================================================


      Anybody can give me a hint on how to do this?







      php mysql sql mysqli






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 11 at 11:44









      Kinanda Mata

      186




      186






















          1 Answer
          1






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          oldest

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          up vote
          1
          down vote



          accepted










          You can do a Left Join from the Address table to the benefits table, via pensioners table, using the appropriate relationships. Left join will allows us to consider a Address even when there is no corresponding benefits entry for any of its citizens.



          In order to count total citizens, male count and female count, you now need to use COUNT(DISTINCT ID) after the join. As Joining may create duplicate rows, as a citizen may have more than one benefits.



          Also, in order to count "Other" benefits, we need to ensure that the benefit IS NOT NULL and it is NOT IN ('SSS', 'Coco Life').



          In multi-table queries, it is advisable to use Aliasing for Code clarity (readability) and avoiding ambiguous behaviour.



          SELECT 
          c.Address,
          COUNT(DISTINCT CASE WHEN c.Sex = 'Male' THEN c.ID END) AS male_cnt,
          COUNT(DISTINCT CASE WHEN c.Sex = 'Female' THEN c.ID END) AS female_cnt,
          COUNT(DISTINCT c.ID) AS total_citizen_cnt,
          COUNT(CASE WHEN b.benefits = 'SSS' THEN 1 END) AS SSS_cnt,
          COUNT(CASE WHEN b.benefits = 'Coco Life' THEN 1 END) AS Coco_Life_cnt,
          COUNT(CASE WHEN b.benefits IS NOT NULL AND
          b.benefits NOT IN ('SSS', 'Coco Life') THEN 1 END) AS Others_cnt
          FROM citizen AS c
          LEFT JOIN pensioners AS p
          ON p.citizen_ID = c.ID
          LEFT JOIN benefits AS b
          ON b.ID = p.benefits_ID
          GROUP BY c.Address





          share|improve this answer
















          • 1




            Your too quick @Madhur. :D Let me try this piece. Thank you once again.
            – Kinanda Mata
            Nov 11 at 11:51










          Your Answer






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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          1
          down vote



          accepted










          You can do a Left Join from the Address table to the benefits table, via pensioners table, using the appropriate relationships. Left join will allows us to consider a Address even when there is no corresponding benefits entry for any of its citizens.



          In order to count total citizens, male count and female count, you now need to use COUNT(DISTINCT ID) after the join. As Joining may create duplicate rows, as a citizen may have more than one benefits.



          Also, in order to count "Other" benefits, we need to ensure that the benefit IS NOT NULL and it is NOT IN ('SSS', 'Coco Life').



          In multi-table queries, it is advisable to use Aliasing for Code clarity (readability) and avoiding ambiguous behaviour.



          SELECT 
          c.Address,
          COUNT(DISTINCT CASE WHEN c.Sex = 'Male' THEN c.ID END) AS male_cnt,
          COUNT(DISTINCT CASE WHEN c.Sex = 'Female' THEN c.ID END) AS female_cnt,
          COUNT(DISTINCT c.ID) AS total_citizen_cnt,
          COUNT(CASE WHEN b.benefits = 'SSS' THEN 1 END) AS SSS_cnt,
          COUNT(CASE WHEN b.benefits = 'Coco Life' THEN 1 END) AS Coco_Life_cnt,
          COUNT(CASE WHEN b.benefits IS NOT NULL AND
          b.benefits NOT IN ('SSS', 'Coco Life') THEN 1 END) AS Others_cnt
          FROM citizen AS c
          LEFT JOIN pensioners AS p
          ON p.citizen_ID = c.ID
          LEFT JOIN benefits AS b
          ON b.ID = p.benefits_ID
          GROUP BY c.Address





          share|improve this answer
















          • 1




            Your too quick @Madhur. :D Let me try this piece. Thank you once again.
            – Kinanda Mata
            Nov 11 at 11:51














          up vote
          1
          down vote



          accepted










          You can do a Left Join from the Address table to the benefits table, via pensioners table, using the appropriate relationships. Left join will allows us to consider a Address even when there is no corresponding benefits entry for any of its citizens.



          In order to count total citizens, male count and female count, you now need to use COUNT(DISTINCT ID) after the join. As Joining may create duplicate rows, as a citizen may have more than one benefits.



          Also, in order to count "Other" benefits, we need to ensure that the benefit IS NOT NULL and it is NOT IN ('SSS', 'Coco Life').



          In multi-table queries, it is advisable to use Aliasing for Code clarity (readability) and avoiding ambiguous behaviour.



          SELECT 
          c.Address,
          COUNT(DISTINCT CASE WHEN c.Sex = 'Male' THEN c.ID END) AS male_cnt,
          COUNT(DISTINCT CASE WHEN c.Sex = 'Female' THEN c.ID END) AS female_cnt,
          COUNT(DISTINCT c.ID) AS total_citizen_cnt,
          COUNT(CASE WHEN b.benefits = 'SSS' THEN 1 END) AS SSS_cnt,
          COUNT(CASE WHEN b.benefits = 'Coco Life' THEN 1 END) AS Coco_Life_cnt,
          COUNT(CASE WHEN b.benefits IS NOT NULL AND
          b.benefits NOT IN ('SSS', 'Coco Life') THEN 1 END) AS Others_cnt
          FROM citizen AS c
          LEFT JOIN pensioners AS p
          ON p.citizen_ID = c.ID
          LEFT JOIN benefits AS b
          ON b.ID = p.benefits_ID
          GROUP BY c.Address





          share|improve this answer
















          • 1




            Your too quick @Madhur. :D Let me try this piece. Thank you once again.
            – Kinanda Mata
            Nov 11 at 11:51












          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          You can do a Left Join from the Address table to the benefits table, via pensioners table, using the appropriate relationships. Left join will allows us to consider a Address even when there is no corresponding benefits entry for any of its citizens.



          In order to count total citizens, male count and female count, you now need to use COUNT(DISTINCT ID) after the join. As Joining may create duplicate rows, as a citizen may have more than one benefits.



          Also, in order to count "Other" benefits, we need to ensure that the benefit IS NOT NULL and it is NOT IN ('SSS', 'Coco Life').



          In multi-table queries, it is advisable to use Aliasing for Code clarity (readability) and avoiding ambiguous behaviour.



          SELECT 
          c.Address,
          COUNT(DISTINCT CASE WHEN c.Sex = 'Male' THEN c.ID END) AS male_cnt,
          COUNT(DISTINCT CASE WHEN c.Sex = 'Female' THEN c.ID END) AS female_cnt,
          COUNT(DISTINCT c.ID) AS total_citizen_cnt,
          COUNT(CASE WHEN b.benefits = 'SSS' THEN 1 END) AS SSS_cnt,
          COUNT(CASE WHEN b.benefits = 'Coco Life' THEN 1 END) AS Coco_Life_cnt,
          COUNT(CASE WHEN b.benefits IS NOT NULL AND
          b.benefits NOT IN ('SSS', 'Coco Life') THEN 1 END) AS Others_cnt
          FROM citizen AS c
          LEFT JOIN pensioners AS p
          ON p.citizen_ID = c.ID
          LEFT JOIN benefits AS b
          ON b.ID = p.benefits_ID
          GROUP BY c.Address





          share|improve this answer












          You can do a Left Join from the Address table to the benefits table, via pensioners table, using the appropriate relationships. Left join will allows us to consider a Address even when there is no corresponding benefits entry for any of its citizens.



          In order to count total citizens, male count and female count, you now need to use COUNT(DISTINCT ID) after the join. As Joining may create duplicate rows, as a citizen may have more than one benefits.



          Also, in order to count "Other" benefits, we need to ensure that the benefit IS NOT NULL and it is NOT IN ('SSS', 'Coco Life').



          In multi-table queries, it is advisable to use Aliasing for Code clarity (readability) and avoiding ambiguous behaviour.



          SELECT 
          c.Address,
          COUNT(DISTINCT CASE WHEN c.Sex = 'Male' THEN c.ID END) AS male_cnt,
          COUNT(DISTINCT CASE WHEN c.Sex = 'Female' THEN c.ID END) AS female_cnt,
          COUNT(DISTINCT c.ID) AS total_citizen_cnt,
          COUNT(CASE WHEN b.benefits = 'SSS' THEN 1 END) AS SSS_cnt,
          COUNT(CASE WHEN b.benefits = 'Coco Life' THEN 1 END) AS Coco_Life_cnt,
          COUNT(CASE WHEN b.benefits IS NOT NULL AND
          b.benefits NOT IN ('SSS', 'Coco Life') THEN 1 END) AS Others_cnt
          FROM citizen AS c
          LEFT JOIN pensioners AS p
          ON p.citizen_ID = c.ID
          LEFT JOIN benefits AS b
          ON b.ID = p.benefits_ID
          GROUP BY c.Address






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 11 at 11:46









          Madhur Bhaiya

          18.8k62236




          18.8k62236







          • 1




            Your too quick @Madhur. :D Let me try this piece. Thank you once again.
            – Kinanda Mata
            Nov 11 at 11:51












          • 1




            Your too quick @Madhur. :D Let me try this piece. Thank you once again.
            – Kinanda Mata
            Nov 11 at 11:51







          1




          1




          Your too quick @Madhur. :D Let me try this piece. Thank you once again.
          – Kinanda Mata
          Nov 11 at 11:51




          Your too quick @Madhur. :D Let me try this piece. Thank you once again.
          – Kinanda Mata
          Nov 11 at 11:51

















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