SQL query return data from multiple tables

Question

I would like to know the following    how to get data from multiple tables in my database  what types of methods are there to do this  what are joins and unions and how are they different from one another   When should I use each one compared to the others    I am planning to use this in my  for example - PHP  application  but don t want to run multiple queries against the database  what options do I have to get data from multiple tables in a single query   Note  I am writing this as I would like to be able to link to a well written guide on the numerous questions that I constantly come across in the PHP queue  so I can link to this for further detail when I post an answer   The answers cover off the following    Part 1 - Joins and Unions Part 2 - Subqueries Part 3 - Tricks and Efficient Code Part 4 - Subqueries in the From Clause Part 5 - Mixed Bag of John s Tricks

User · Answer

You can use the concept of multiple queries in the FROM keyword. Let me show you one example:

SELECT DISTINCT e.id,e.name,d.name,lap.lappy LAPTOP_MAKE,c_loc.cnty COUNTY    
FROM  (
          SELECT c.id cnty,l.name
          FROM   county c, location l
          WHERE  c.id=l.county_id AND l.end_Date IS NOT NULL
      ) c_loc, emp e 
      INNER JOIN dept d ON e.deptno =d.id
      LEFT JOIN 
      ( 
         SELECT l.id lappy, c.name cmpy
         FROM   laptop l, company c
         WHERE l.make = c.name
      ) lap ON e.cmpy_id=lap.cmpy

You can use as many tables as you want to. Use outer joins and union where ever it's necessary, even inside table subqueries.

That's a very easy method to involve as many as tables and fields.

User · Answer

Part 3 - Tricks and Efficient Code  MySQL in   efficiency  I thought I would add some extra bits  for tips and tricks that have come up   One question I see come up a fair bit  is How do I get non-matching rows from two tables and I see the answer most commonly accepted as something like the following  based on our cars and brands table - which has Holden listed as a brand  but does not appear in the cars table    select     a ID      a brand from     brands a where     a ID not in select brand from cars    And yes it will work     ---- --------    ID   brand     ---- --------     6   Holden    ---- --------  1 row in set  0 00 sec    However it is not efficient in some database  Here is a link to a Stack Overflow question asking about it  and here is an excellent in depth article if you want to get into the nitty gritty   The short answer is  if the optimiser doesn t handle it efficiently  it may be much better to use a query like the following to get non matched rows   select     a brand from     brands a         left join cars b             on a id b brand where     b brand is null   --------    brand     --------    Holden    --------  1 row in set  0 00 sec    Update Table with same table in subquery  Ahhh  another oldie but goodie - the old You can t specify target table  brands  for update in FROM clause   MySQL will not allow you to run an update    query with a subselect on the same table  Now  you might be thinking  why not just slap it into the where clause right  But what if you want to update only the row with the max   date amoung a bunch of other rows  You can t exactly do that in a where clause   update      brands  set      brand  Holden   where      id           select              id          from              brands          where              id 6   ERROR 1093  HY000   You can t specify target table  brands   for update in FROM clause   So  we can t do that eh  Well  not exactly  There is a sneaky workaround that a surprisingly large number of users don t know about - though it does include some hackery that you will need to pay attention to   You can stick the subquery within another subquery  which puts enough of a gap between the two queries so that it will work  However  note that it might be safest to stick the query within a transaction - this will prevent any other changes being made to the tables while the query is running   update      brands  set      brand  Holden   where id       select          id      from           select              id          from              brands          where              id 6                as updateTable    Query OK  0 rows affected  0 02 sec  Rows matched  1  Changed  0  Warnings  0

User · Answer

Part 1 - Joins and Unions  This answer covers    Part 1   Joining two or more tables using an inner join  See the wikipedia entry for additional info  How to use a union query Left and Right Outer Joins  this stackOverflow answer is excellent to describe types of joins  Intersect queries  and how to reproduce them if your database doesn t support them  - this is a function of SQL-Server  see info  and part of the reason I wrote this whole thing in the first place   Part 2   Subqueries - what they are  where they can be used and what to watch out for Cartesian joins AKA - Oh  the misery     There are a number of ways to retrieve data from multiple tables in a database  In this answer  I will be using ANSI-92 join syntax  This may be different to a number of other tutorials out there which use the older ANSI-89 syntax  and if you are used to 89  may seem much less intuitive - but all I can say is to try it  as it is much easier to understand when the queries start getting more complex  Why use it  Is there a performance gain  The short answer is no  but it is easier to read once you get used to it  It is easier to read queries written by other folks using this syntax   I am also going to use the concept of a small caryard which has a database to keep track of what cars it has available  The owner has hired you as his IT Computer guy and expects you to be able to drop him the data that he asks for at the drop of a hat   I have made a number of lookup tables that will be used by the final table  This will give us a reasonable model to work from  To start off  I will be running my queries against an example database that has the following structure  I will try to think of common mistakes that are made when starting out and explain what goes wrong with them - as well as of course showing how to correct them   The first table is simply a color listing so that we know what colors we have in the car yard   mysql gt  create table colors id int 3  not null auto increment primary key       - gt  color varchar 15   paint varchar 10    Query OK  0 rows affected  0 01 sec   mysql gt  show columns from colors   ------- ------------- ------ ----- --------- ----------------    Field   Type          Null   Key   Default   Extra             ------- ------------- ------ ----- --------- ----------------    id      int 3         NO     PRI   NULL      auto increment     color   varchar 15    YES          NULL                         paint   varchar 10    YES          NULL                        ------- ------------- ------ ----- --------- ----------------  3 rows in set  0 01 sec   mysql gt  insert into colors  color  paint  values   Red    Metallic         - gt    Green    Gloss      Blue    Metallic         - gt    White   Gloss      Black   Gloss    Query OK  5 rows affected  0 00 sec  Records  5  Duplicates  0  Warnings  0  mysql gt  select   from colors   ---- ------- ----------    id   color   paint       ---- ------- ----------     1   Red     Metallic      2   Green   Gloss         3   Blue    Metallic      4   White   Gloss         5   Black   Gloss       ---- ------- ----------  5 rows in set  0 00 sec    The brands table identifies the different brands of the cars out caryard could possibly sell   mysql gt  create table brands  id int 3  not null auto increment primary key       - gt  brand varchar 15    Query OK  0 rows affected  0 01 sec   mysql gt  show columns from brands   ------- ------------- ------ ----- --------- ----------------    Field   Type          Null   Key   Default   Extra             ------- ------------- ------ ----- --------- ----------------    id      int 3         NO     PRI   NULL      auto increment     brand   varchar 15    YES          NULL                        ------- ------------- ------ ----- --------- ----------------  2 rows in set  0 01 sec   mysql gt  insert into brands  brand  values   Ford      Toyota         - gt    Nissan      Smart      BMW    Query OK  5 rows affected  0 00 sec  Records  5  Duplicates  0  Warnings  0  mysql gt  select   from brands   ---- --------    id   brand     ---- --------     1   Ford        2   Toyota      3   Nissan      4   Smart       5   BMW       ---- --------  5 rows in set  0 00 sec    The model table will cover off different types of cars  it is going to be simpler for this to use different car types rather than actual car models   mysql gt  create table models  id int 3  not null auto increment primary key       - gt  model varchar 15    Query OK  0 rows affected  0 01 sec   mysql gt  show columns from models   ------- ------------- ------ ----- --------- ----------------    Field   Type          Null   Key   Default   Extra             ------- ------------- ------ ----- --------- ----------------    id      int 3         NO     PRI   NULL      auto increment     model   varchar 15    YES          NULL                        ------- ------------- ------ ----- --------- ----------------  2 rows in set  0 00 sec   mysql gt  insert into models  model  values   Sports      Sedan      4WD      Luxury    Query OK  4 rows affected  0 00 sec  Records  4  Duplicates  0  Warnings  0  mysql gt  select   from models   ---- --------    id   model     ---- --------     1   Sports      2   Sedan       3   4WD         4   Luxury    ---- --------  4 rows in set  0 00 sec    And finally  to tie up all these other tables  the table that ties everything together  The ID field is actually the unique lot number used to identify cars   mysql gt  create table cars  id int 3  not null auto increment primary key       - gt  color int 3   brand int 3   model int 3    Query OK  0 rows affected  0 01 sec   mysql gt  show columns from cars   ------- -------- ------ ----- --------- ----------------    Field   Type     Null   Key   Default   Extra             ------- -------- ------ ----- --------- ----------------    id      int 3    NO     PRI   NULL      auto increment     color   int 3    YES          NULL                         brand   int 3    YES          NULL                         model   int 3    YES          NULL                        ------- -------- ------ ----- --------- ----------------  4 rows in set  0 00 sec   mysql gt  insert into cars  color  brand  model  values  1 2 1    3 1 2    5 3 1        - gt   4 4 2    2 2 3    3 5 4    4 1 3    2 2 1    5 2 3    4 5 1   Query OK  10 rows affected  0 00 sec  Records  10  Duplicates  0  Warnings  0  mysql gt  select   from cars   ---- ------- ------- -------    id   color   brand   model    ---- ------- ------- -------     1       1       2       1      2       3       1       2      3       5       3       1      4       4       4       2      5       2       2       3      6       3       5       4      7       4       1       3      8       2       2       1      9       5       2       3     10       4       5       1    ---- ------- ------- -------  10 rows in set  0 00 sec    This will give us enough data  I hope  to cover off the examples below of different types of joins and also give enough data to make them worthwhile   So getting into the grit of it  the boss wants to know The IDs of all the sports cars he has   This is a simple two table join  We have a table that identifies the model and the table with the available stock in it  As you can see  the data in the model column of the cars table relates to the models column of the cars table we have  Now  we know that the models table has an ID of 1 for Sports so lets write the join   select     ID      model from     cars         join models             on model ID   So this query looks good right  We have identified the two tables and contain the information we need and use a join that correctly identifies what columns to join on   ERROR 1052  23000   Column  ID  in field list is ambiguous   Oh noes  An error in our first query  Yes  and it is a plum  You see  the query has indeed got the right columns  but some of them exist in both tables  so the database gets confused about what actual column we mean and where  There are two solutions to solve this  The first is nice and simple  we can use tableName columnName to tell the database exactly what we mean  like this   select     cars ID      models model from     cars         join models             on cars model models ID   ---- --------    ID   model     ---- --------     1   Sports      3   Sports      8   Sports     10   Sports      2   Sedan       4   Sedan       5   4WD         7   4WD         9   4WD         6   Luxury    ---- --------  10 rows in set  0 00 sec    The other is probably more often used and is called table aliasing  The tables in this example have nice and short simple names  but typing out something like KPI DAILY SALES BY DEPARTMENT would probably get old quickly  so a simple way is to nickname the table like this   select     a ID      b model from     cars a         join models b             on a model b ID   Now  back to the request  As you can see we have the information we need  but we also have information that wasn t asked for  so we need to include a where clause in the statement to only get the Sports cars as was asked  As I prefer the table alias method rather than using the table names over and over  I will stick to it from this point onwards   Clearly  we need to add a where clause to our query  We can identify Sports cars either by ID 1 or model  Sports   As the ID is indexed and the primary key  and it happens to be less typing   lets use that in our query   select     a ID      b model from     cars a         join models b             on a model b ID where     b ID 1   ---- --------    ID   model     ---- --------     1   Sports      3   Sports      8   Sports     10   Sports    ---- --------  4 rows in set  0 00 sec    Bingo  The boss is happy  Of course  being a boss and never being happy with what he asked for  he looks at the information  then says I want the colors as well   Okay  so we have a good part of our query already written  but we need to use a third table which is colors  Now  our main information table cars stores the car color ID and this links back to the colors ID column  So  in a similar manner to the original  we can join a third table   select     a ID      b model from     cars a         join models b             on a model b ID         join colors c             on a color c ID where     b ID 1   ---- --------    ID   model     ---- --------     1   Sports      3   Sports      8   Sports     10   Sports    ---- --------  4 rows in set  0 00 sec    Damn  although the table was correctly joined and the related columns were linked  we forgot to pull in the actual information from the new table that we just linked   select     a ID      b model      c color from     cars a         join models b             on a model b ID         join colors c             on a color c ID where     b ID 1   ---- -------- -------    ID   model    color    ---- -------- -------     1   Sports   Red        8   Sports   Green     10   Sports   White      3   Sports   Black    ---- -------- -------  4 rows in set  0 00 sec    Right  that s the boss off our back for a moment  Now  to explain some of this in a little more detail  As you can see  the from clause in our statement links our main table  I often use a table that contains information rather than a lookup or dimension table  The query would work just as well with the tables all switched around  but make less sense when we come back to this query to read it in a few months time  so it is often best to try to write a query that will be nice and easy to understand - lay it out intuitively  use nice indenting so that everything is as clear as it can be  If you go on to teach others  try to instill these characteristics in their queries - especially if you will be troubleshooting them   It is entirely possible to keep linking more and more tables in this manner   select     a ID      b model      c color from     cars a         join models b             on a model b ID         join colors c             on a color c ID         join brands d             on a brand d ID where     b ID 1   While I forgot to include a table where we might want to join more than one column in the join statement  here is an example  If the models table had brand-specific models and therefore also had a column called brand which linked back to the brands table on the ID field  it could be done as this   select     a ID      b model      c color from     cars a         join models b             on a model b ID         join colors c             on a color c ID         join brands d             on a brand d ID             and b brand d ID where     b ID 1   You can see  the query above not only links the joined tables to the main cars table  but also specifies joins between the already joined tables  If this wasn t done  the result is called a cartesian join - which is dba speak for bad  A cartesian join is one where rows are returned because the information doesn t tell the database how to limit the results  so the query returns all the rows that fit the criteria   So  to give an example of a cartesian join  lets run the following query   select     a ID      b model from     cars a         join models b   ---- --------    ID   model     ---- --------     1   Sports      1   Sedan       1   4WD         1   Luxury      2   Sports      2   Sedan       2   4WD         2   Luxury      3   Sports      3   Sedan       3   4WD         3   Luxury      4   Sports      4   Sedan       4   4WD         4   Luxury      5   Sports      5   Sedan       5   4WD         5   Luxury      6   Sports      6   Sedan       6   4WD         6   Luxury      7   Sports      7   Sedan       7   4WD         7   Luxury      8   Sports      8   Sedan       8   4WD         8   Luxury      9   Sports      9   Sedan       9   4WD         9   Luxury     10   Sports     10   Sedan      10   4WD        10   Luxury    ---- --------  40 rows in set  0 00 sec    Good god  that s ugly  However  as far as the database is concerned  it is exactly what was asked for  In the query  we asked for for the ID from cars and the model from models  However  because we didn t specify how to join the tables  the database has matched every row from the first table with every row from the second table   Okay  so the boss is back  and he wants more information again  I want the same list  but also include 4WDs in it   This however  gives us a great excuse to look at two different ways to accomplish this  We could add another condition to the where clause like this   select     a ID      b model      c color from     cars a         join models b             on a model b ID         join colors c             on a color c ID         join brands d             on a brand d ID where     b ID 1     or b ID 3   While the above will work perfectly well  lets look at it differently  this is a great excuse to show how a union query will work   We know that the following will return all the Sports cars   select     a ID      b model      c color from     cars a         join models b             on a model b ID         join colors c             on a color c ID         join brands d             on a brand d ID where     b ID 1   And the following would return all the 4WDs   select     a ID      b model      c color from     cars a         join models b             on a model b ID         join colors c             on a color c ID         join brands d             on a brand d ID where     b ID 3   So by adding a union all clause between them  the results of the second query will be appended to the results of the first query   select     a ID      b model      c color from     cars a         join models b             on a model b ID         join colors c             on a color c ID         join brands d             on a brand d ID where     b ID 1 union all select     a ID      b model      c color from     cars a         join models b             on a model b ID         join colors c             on a color c ID         join brands d             on a brand d ID where     b ID 3   ---- -------- -------    ID   model    color    ---- -------- -------     1   Sports   Red        8   Sports   Green     10   Sports   White      3   Sports   Black      5   4WD      Green      7   4WD      White      9   4WD      Black    ---- -------- -------  7 rows in set  0 00 sec    As you can see  the results of the first query are returned first  followed by the results of the second query   In this example  it would of course have been much easier to simply use the first query  but union queries can be great for specific cases  They are a great way to return specific results from tables from tables that aren t easily joined together - or for that matter completely unrelated tables  There are a few rules to follow however    The column types from the first query must match the column types from every other query below  The names of the columns from the first query will be used to identify the entire set of results  The number of columns in each query must be the same    Now  you might be wondering what the difference is between using union and union all  A union query will remove duplicates  while a union all will not  This does mean that there is a small performance hit when using union over union all but the results may be worth it - I won t speculate on that sort of thing in this though   On this note  it might be worth noting some additional notes here    If we wanted to order the results  we can use an order by but you can t use the alias anymore  In the query above  appending an order by a ID would result in an error - as far as the results are concerned  the column is called ID rather than a ID - even though the same alias has been used in both queries  We can only have one order by statement  and it must be as the last statement    For the next examples  I am adding a few extra rows to our tables   I have added Holden to the brands table  I have also added a row into cars that has the color value of 12 - which has no reference in the colors table   Okay  the boss is back again  barking requests out -  I want a count of each brand we carry and the number of cars in it   - Typical  we just get to an interesting section of our discussion and the boss wants more work   Rightyo  so the first thing we need to do is get a complete listing of possible brands   select     a brand from     brands a   --------    brand     --------    Ford       Toyota     Nissan     Smart      BMW        Holden    --------  6 rows in set  0 00 sec    Now  when we join this to our cars table we get the following result   select     a brand from     brands a         join cars b             on a ID b brand group by     a brand   --------    brand     --------    BMW        Ford       Nissan     Smart      Toyota    --------  5 rows in set  0 00 sec    Which is of course a problem - we aren t seeing any mention of the lovely Holden brand I added   This is because a join looks for matching rows in both tables  As there is no data in cars that is of type Holden it isn t returned  This is where we can use an outer join  This will return all the results from one table whether they are matched in the other table or not   select     a brand from     brands a         left outer join cars b             on a ID b brand group by     a brand   --------    brand     --------    BMW        Ford       Holden     Nissan     Smart      Toyota    --------  6 rows in set  0 00 sec    Now that we have that  we can add a lovely aggregate function to get a count and get the boss off our backs for a moment   select     a brand      count b id  as countOfBrand from     brands a         left outer join cars b             on a ID b brand group by     a brand   -------- --------------    brand    countOfBrand    -------- --------------    BMW                 2     Ford                2     Holden              0     Nissan              1     Smart               1     Toyota              5    -------- --------------  6 rows in set  0 00 sec    And with that  away the boss skulks   Now  to explain this in some more detail  outer joins can be of the left or right type  The Left or Right defines which table is fully included  A left outer join will include all the rows from the table on the left  while  you guessed it  a right outer join brings all the results from the table on the right into the results   Some databases will allow a full outer join which will bring back results  whether matched or not  from both tables  but this isn t supported in all databases   Now  I probably figure at this point in time  you are wondering whether or not you can merge join types in a query - and the answer is yes  you absolutely can   select     b brand      c color      count a id  as countOfBrand from     cars a         right outer join brands b             on b ID a brand         join colors c             on a color c ID group by     a brand      c color   -------- ------- --------------    brand    color   countOfBrand    -------- ------- --------------    Ford     Blue               1     Ford     White              1     Toyota   Black              1     Toyota   Green              2     Toyota   Red                1     Nissan   Black              1     Smart    White              1     BMW      Blue               1     BMW      White              1    -------- ------- --------------  9 rows in set  0 00 sec    So  why is that not the results that were expected  It is because although we have selected the outer join from cars to brands  it wasn t specified in the join to colors - so that particular join will only bring back results that match in both tables   Here is the query that would work to get the results that we expected   select     a brand      c color      count b id  as countOfBrand from     brands a         left outer join cars b             on a ID b brand         left outer join colors c             on b color c ID group by     a brand      c color   -------- ------- --------------    brand    color   countOfBrand    -------- ------- --------------    BMW      Blue               1     BMW      White              1     Ford     Blue               1     Ford     White              1     Holden   NULL               0     Nissan   Black              1     Smart    White              1     Toyota   NULL               1     Toyota   Black              1     Toyota   Green              2     Toyota   Red                1    -------- ------- --------------  11 rows in set  0 00 sec    As we can see  we have two outer joins in the query and the results are coming through as expected   Now  how about those other types of joins you ask  What about Intersections   Well  not all databases support the intersection but pretty much all databases will allow you to create an intersection through a join  or a well structured where statement at the least    An Intersection is a type of join somewhat similar to a union as described above - but the difference is that it only returns rows of data that are identical  and I do mean identical  between the various individual queries joined by the union  Only rows that are identical in every regard will be returned   A simple example would be as such   select       from     colors where     ID gt 2 intersect select       from     colors where     id lt 4   While a normal union query would return all the rows of the table  the first query returning anything over ID gt 2 and the second anything having ID lt 4  which would result in a full set  an intersect query would only return the row matching id 3 as it meets both criteria   Now  if your database doesn t support an intersect query  the above can be easily accomlished with the following query   select     a ID      a color      a paint from     colors a         join colors b             on a ID b ID where     a ID gt 2     and b ID lt 4   ---- ------- ----------    ID   color   paint       ---- ------- ----------     3   Blue    Metallic    ---- ------- ----------  1 row in set  0 00 sec    If you wish to perform an intersection across two different tables using a database that doesn t inherently support an intersection query  you will need to create a join on every column of the tables

User · Answer

Ok  I found this post very interesting and I would like to share some of my knowledge on creating a query  Thanks for this Fluffeh  Others who may read this and may feel that I m wrong are 101  free to edit and criticise my answer   Honestly  I feel very thankful for correcting my mistake s     I ll be posting some of the frequently asked questions in MySQL tag     Trick No  1  rows that matches to multiple conditions   Given this schema  CREATE TABLE MovieList       ID INT      MovieName VARCHAR 25       CONSTRAINT ml pk PRIMARY KEY  ID       CONSTRAINT ml uq UNIQUE  MovieName      INSERT INTO MovieList VALUES  1   American Pie    INSERT INTO MovieList VALUES  2   The Notebook    INSERT INTO MovieList VALUES  3   Discovery Channel  Africa    INSERT INTO MovieList VALUES  4   Mr  Bean    INSERT INTO MovieList VALUES  5   Expendables 2     CREATE TABLE CategoryList       MovieID INT      CategoryName VARCHAR 25       CONSTRAINT cl uq UNIQUE MovieID  CategoryName       CONSTRAINT cl fk FOREIGN KEY  MovieID  REFERENCES MovieList ID      INSERT INTO CategoryList VALUES  1   Comedy    INSERT INTO CategoryList VALUES  1   Romance    INSERT INTO CategoryList VALUES  2   Romance    INSERT INTO CategoryList VALUES  2   Drama    INSERT INTO CategoryList VALUES  3   Documentary    INSERT INTO CategoryList VALUES  4   Comedy    INSERT INTO CategoryList VALUES  5   Comedy    INSERT INTO CategoryList VALUES  5   Action      QUESTION  Find all movies that belong to at least both Comedy and Romance categories   Solution  This question can be very tricky sometimes  It may seem that a query like this will be the answer -  SELECT  DISTINCT a MovieName FROM    MovieList a         INNER JOIN CategoryList b             ON a ID   b MovieID WHERE   b CategoryName    Comedy  AND         b CategoryName    Romance    SQLFiddle Demo  which is definitely very wrong because it produces no result  The explanation of this is that there is only one valid value of CategoryName on each row  For instance  the first condition returns true  the second condition is always false  Thus  by using AND operator  both condition should be true  otherwise  it will be false  Another query is like this   SELECT  DISTINCT a MovieName FROM    MovieList a         INNER JOIN CategoryList b             ON a ID   b MovieID WHERE   b CategoryName IN   Comedy   Romance     SQLFiddle Demo  and the result is still incorrect because it matches to record that has at least one match on the categoryName  The real solution would be by counting the number of record instances per movie  The number of instance should match to the total number of the values supplied in the condition   SELECT  a MovieName FROM    MovieList a         INNER JOIN CategoryList b             ON a ID   b MovieID WHERE   b CategoryName IN   Comedy   Romance   GROUP BY a MovieName HAVING COUNT      2   SQLFiddle Demo  the answer    SQL of Relational Division     Trick No  2  maximum record for each entry   Given  schema   CREATE TABLE Software       ID INT      SoftwareName VARCHAR 25       Descriptions VARCHAR 150       CONSTRAINT sw pk PRIMARY KEY  ID       CONSTRAINT sw uq UNIQUE  SoftwareName        INSERT INTO Software VALUES  1  PaintMe   used for photo editing    INSERT INTO Software VALUES  2  World Map   contains map of different places of the world    INSERT INTO Software VALUES  3  Dictionary   contains description  synonym  antonym of the words     CREATE TABLE VersionList       SoftwareID INT      VersionNo INT      DateReleased DATE      CONSTRAINT sw uq UNIQUE  SoftwareID  VersionNo       CONSTRAINT sw fk FOREIGN KEY  SOftwareID  REFERENCES Software ID      INSERT INTO VersionList VALUES  3  2   2009-12-01    INSERT INTO VersionList VALUES  3  1   2009-11-01    INSERT INTO VersionList VALUES  3  3   2010-01-01    INSERT INTO VersionList VALUES  2  2   2010-12-01    INSERT INTO VersionList VALUES  2  1   2009-12-01    INSERT INTO VersionList VALUES  1  3   2011-12-01    INSERT INTO VersionList VALUES  1  2   2010-12-01    INSERT INTO VersionList VALUES  1  1   2009-12-01    INSERT INTO VersionList VALUES  1  4   2012-12-01      QUESTION  Find the latest version on each software  Display the following columns  SoftwareName Descriptions LatestVersion  from VersionNo column  DateReleased  Solution  Some SQL developers mistakenly use MAX   aggregate function  They tend to create like this   SELECT  a SoftwareName  a Descriptions          MAX b VersionNo  AS LatestVersion  b DateReleased FROM    Software a         INNER JOIN VersionList b             ON a ID   b SoftwareID GROUP BY a ID ORDER BY a ID   SQLFiddle Demo   most RDBMS generates a syntax error on this because of not specifying some of the non-aggregated columns on the group by clause  the result produces the correct LatestVersion on each software but obviously the DateReleased are incorrect  MySQL doesn t support Window Functions and Common Table Expression yet as some RDBMS do already  The workaround on this problem is to create a subquery which gets the individual maximum versionNo on each software and later on be joined on the other tables   SELECT  a SoftwareName  a Descriptions          b LatestVersion  c DateReleased FROM    Software a         INNER JOIN                       SELECT  SoftwareID  MAX VersionNO  LatestVersion             FROM    VersionList             GROUP BY SoftwareID           b ON a ID   b SoftwareID         INNER JOIN VersionList c             ON  c SoftwareID   b SoftwareID AND                 c VersionNO   b LatestVersion GROUP BY a ID ORDER BY a ID   SQLFiddle Demo  the answer     So that was it  I ll be posting another soon as I recall any other FAQ on MySQL tag  Thank you for reading this little article  I hope that you have atleast get even a little knowledge from this   UPDATE 1    Trick No  3  Finding the latest record between two IDs   Given Schema  CREATE TABLE userList       ID INT      NAME VARCHAR 20       CONSTRAINT us pk PRIMARY KEY  ID       CONSTRAINT us uq UNIQUE  NAME        INSERT INTO userList VALUES  1   Fluffeh    INSERT INTO userList VALUES  2   John Woo    INSERT INTO userList VALUES  3   hims056     CREATE TABLE CONVERSATION       ID INT      FROM ID INT      TO ID INT      MESSAGE VARCHAR 250       DeliveryDate DATE     INSERT INTO CONVERSATION VALUES  1  1  2   hi john    2012-01-01    INSERT INTO CONVERSATION VALUES  2  2  1   hello fluff    2012-01-02    INSERT INTO CONVERSATION VALUES  3  1  3   hey hims    2012-01-03    INSERT INTO CONVERSATION VALUES  4  1  3   please reply    2012-01-04    INSERT INTO CONVERSATION VALUES  5  3  1   how are you     2012-01-05    INSERT INTO CONVERSATION VALUES  6  3  2   sample message     2012-01-05      QUESTION  Find the latest conversation between two users   Solution  SELECT    b Name SenderName            c Name RecipientName            a Message            a DeliveryDate FROM      Conversation a           INNER JOIN userList b             ON a From ID   b ID           INNER JOIN userList c             ON a To ID   c ID WHERE      LEAST a FROM ID  a TO ID   GREATEST a FROM ID  a TO ID   DeliveryDate  IN       SELECT  LEAST FROM ID  TO ID  minFROM              GREATEST FROM ID  TO ID  maxTo              MAX DeliveryDate  maxDate     FROM    Conversation     GROUP BY minFROM  maxTo     SQLFiddle Demo

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Part 2 - Subqueries  Okay  now the boss has burst in again - I want a list of all of our cars with the brand and a total of how many of that brand we have   This is a great opportunity to use the next trick in our bag of SQL goodies - the subquery  If you are unfamiliar with the term  a subquery is a query that runs inside another query  There are many different ways to use them   For our request  lets first put a simple query together that will list each car and the brand   select     a ID      b brand from     cars a         join brands b             on a brand b ID   Now  if we wanted to simply get a count of cars sorted by brand  we could of course write this   select     b brand      count a ID  as countCars from     cars a         join brands b             on a brand b ID group by     b brand   -------- -----------    brand    countCars    -------- -----------    BMW              2     Ford             2     Nissan           1     Smart            1     Toyota           5    -------- -----------    So  we should be able to simply add in the count function to our original query right   select     a ID      b brand      count a ID  as countCars from     cars a         join brands b             on a brand b ID group by     a ID      b brand   ---- -------- -----------    ID   brand    countCars    ---- -------- -----------     1   Toyota           1      2   Ford             1      3   Nissan           1      4   Smart            1      5   Toyota           1      6   BMW              1      7   Ford             1      8   Toyota           1      9   Toyota           1     10   BMW              1     11   Toyota           1    ---- -------- -----------  11 rows in set  0 00 sec    Sadly  no  we can t do that  The reason is that when we add in the car ID  column a ID  we have to add it into the group by - so now  when the count function works  there is only one ID matched per ID   This is where we can however use a subquery - in fact we can do two completely different types of subquery that will return the same results that we need for this  The first is to simply put the subquery in the select clause  This means each time we get a row of data  the subquery will run off  get a column of data and then pop it into our row of data   select     a ID      b brand            select         count c ID      from         cars c     where         a brand c brand       as countCars from     cars a         join brands b             on a brand b ID   ---- -------- -----------    ID   brand    countCars    ---- -------- -----------     2   Ford             2      7   Ford             2      1   Toyota           5      5   Toyota           5      8   Toyota           5      9   Toyota           5     11   Toyota           5      3   Nissan           1      4   Smart            1      6   BMW              2     10   BMW              2    ---- -------- -----------  11 rows in set  0 00 sec    And Bam   this would do us  If you noticed though  this sub query will have to run for each and every single row of data we return  Even in this little example  we only have five different Brands of car  but the subquery ran eleven times as we have eleven rows of data that we are returning  So  in this case  it doesn t seem like the most efficient way to write code   For a different approach  lets run a subquery and pretend it is a table   select     a ID      b brand      d countCars from     cars a         join brands b             on a brand b ID         join                           select                 c brand                  count c ID  as countCars             from                 cars c             group by                 c brand               d             on a brand d brand   ---- -------- -----------    ID   brand    countCars    ---- -------- -----------     1   Toyota           5      2   Ford             2      3   Nissan           1      4   Smart            1      5   Toyota           5      6   BMW              2      7   Ford             2      8   Toyota           5      9   Toyota           5     10   BMW              2     11   Toyota           5    ---- -------- -----------  11 rows in set  0 00 sec    Okay  so we have the same results  ordered slightly different - it seems the database wanted to return results ordered by the first column we picked this time  - but the same right numbers   So  what s the difference between the two - and when should we use each type of subquery  First  lets make sure we understand how that second query works  We selected two tables in the from clause of our query  and then wrote a query and told the database that it was in fact a table instead - which the database is perfectly happy with  There can be some benefits to using this method  as well as some limitations   Foremost is that this subquery ran once  If our database contained a large volume of data  there could well be a massive improvement over the first method  However  as we are using this as a table  we have to bring in extra rows of data - so that they can actually be joined back to our rows of data  We also have to be sure that there are enough rows of data if we are going to use a simple join like in the query above  If you recall  the join will only pull back rows that have matching data on both sides of the join  If we aren t careful  this could result in valid data not being returned from our cars table if there wasn t a matching row in this subquery   Now  looking back at the first subquery  there are some limitations as well  because we are pulling data back into a single row  we can ONLY pull back one row of data  Subqueries used in the select clause of a query very often use only an aggregate function such as sum  count  max or another similar aggregate function  They don t have to  but that is often how they are written   So  before we move on  lets have a quick look at where else we can use a subquery  We can use it in the where clause - now  this example is a little contrived as in our database  there are better ways of getting the following data  but seeing as it is only for an example  lets have a look   select     ID      brand from     brands where     brand like   o     ---- --------    ID   brand     ---- --------     1   Ford        2   Toyota      6   Holden    ---- --------  3 rows in set  0 00 sec    This returns us a list of brand IDs and Brand names  the second column is only added to show us the brands  that contain the letter o in the name   Now  we could use the results of this query in a where clause this   select     a ID      b brand from     cars a         join brands b             on a brand b ID where     a brand in                   select             ID         from             brands         where             brand like   o               ---- --------    ID   brand     ---- --------     2   Ford        7   Ford        1   Toyota      5   Toyota      8   Toyota      9   Toyota     11   Toyota    ---- --------  7 rows in set  0 00 sec    As you can see  even though the subquery was returning the three brand IDs  our cars table only had entries for two of them   In this case  for further detail  the subquery is working as if we wrote the following code   select     a ID      b brand from     cars a         join brands b             on a brand b ID where     a brand in  1 2 6    ---- --------    ID   brand     ---- --------     1   Toyota      2   Ford        5   Toyota      7   Ford        8   Toyota      9   Toyota     11   Toyota    ---- --------  7 rows in set  0 00 sec    Again  you can see how a subquery vs manual inputs has changed the order of the rows when returning from the database   While we are discussing subqueries  lets see what else we can do with a subquery    You can place a subquery within another subquery  and so on and so on  There is a limit which depends on your database  but short of recursive functions of some insane and maniacal programmer  most folks will never hit that limit  You can place a number of subqueries into a single query  a few in the select clause  some in the from clause and a couple more in the where clause - just remember that each one you put in is making your query more complex and likely to take longer to execute    If you need to write some efficient code  it can be beneficial to write the query a number of ways and see  either by timing it or by using an explain plan  which is the optimal query to get your results  The first way that works may not always be the best way of doing it

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Hopes this makes it find the tables as you re reading through the thing   jsfiddle  mysql gt  show columns from colors                                                            ------- ------------- ------ ----- --------- ----------------    Field   Type          Null   Key   Default   Extra             ------- ------------- ------ ----- --------- ----------------               id      int 3         NO     PRI   NULL      auto increment     color   varchar 15    YES          NULL                         paint   varchar 10    YES          NULL                        ------- ------------- ------ ----- --------- ----------------

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