I have the following MySQL query:
SELECT inv.inventory_id, inv.item_id, item.description, inv.quantity, item.class_id, class.description AS class,
class.is_spool, inv.location_id, location.description AS location, location.division_id, division.name AS division,
inv.service_date, inv.reel_number, inv.original_length, inv.current_length, inv.outside_sequential,
inv.inside_sequential, inv.next_sequential, inv.notes, inv.last_modified, inv.modified_by
FROM reel_inventory AS inv
INNER JOIN reel_items AS item ON inv.item_id = item.item_id
INNER JOIN reel_locations AS location ON inv.location_id = location.location_id
INNER JOIN locations AS division ON location.division_id = division.location_id
RIGHT JOIN reel_classes AS class on item.class_id = class.class_id;
The query works exactly as expected as is. What I was trying to do was add a WHERE clause to this query with one qualifier. For example:
RIGHT JOIN reel_classes AS class ON item.class_id = class.class_id
WHERE inv.current_length > 0;
When I do this, all of the results from the RIGHT JOIN are not included in the result. I've not had a ton of experience with advanced queries, but could someone explain why the RIGHT JOIN is excluded from the result set when a WHERE is used, and how to property write the query to include the RIGHT JOIN information?
Thanks in advance.
What you want is:
RIGHT JOIN reel_classes AS class
ON item.class_id = class.class_id AND
inv.current_length > 0;
Your question is why the RIGHT JOIN turns into an INNER JOIN with the WHERE clause.
The reason is simple. For the non-matching rows, inv.current_length is NULL and this fails the comparison.
I would also suggest that you use LEFT JOIN, starting with the table where you want to keep all the rows. Most people find it much easier to understand logic that is "keep all rows in the first table" rather than "keep all rows in some table whose name will come up".
Related
I have the following tables. All fields are NOT NULL.
tb_post
id
account_id
created_at
content
tb_account
id
name
I want to select the latest post along with the name. Should I use INNER JOIN or LEFT JOIN? From my understanding both produce the same results. But which is more correct or faster?
SELECT p.content, a.name
FROM tb_post AS p
[INNER or LEFT] JOIN tb_account AS a
ON a.id = p.account_id
ORDER BY p.created_at DESC
LIMIT 50
A LEFT JOIN is absolutely not faster than an INNER JOIN. In fact, it's slower; by definition, an outer join (LEFT JOIN or RIGHT JOIN) has to do all the work of an INNER JOIN plus the extra work of null-extending the results. It would also be expected to return more rows, further increasing the total execution time simply due to the larger size of the result set.
(And even if a LEFT JOIN were faster in specific situations due to some difficult-to-imagine confluence of factors, it is not functionally equivalent to an INNER JOIN, so you cannot simply go replacing all instances of one with the other!)
Better go for INNER JOIN.
As Per My View The Correct One Is Inner join
because it returns resultset that include only matched elements where Left Join Returns all entries from Left Table. In this case I think Inner join returns the only required amount of data to be proceed.
You have to ask yourself two questions.
1) Is there any chance that at some point in your application lifetime, there will be posts with an empty or invalid account_id?
If not, it doesn't matter.
If yes...
2) Would it be desirable to include posts without an associated account in the result of the query? If yes, use LEFT JOIN, if no, use INNER JOIN.
I personally don't think speed is very relevant: the difference between them is what they do.
They happen to give the same result in your case, but that does not mean they can be interchanged, because choosing the one or the other still tells the other guy that reads your code something.
I tend to think like this:
INNER JOIN - the two tables are basically ONE set, we just need to combine two sources.
LEFT JOIN - the left tables is the source, and optionally we may have additional information (in the right table).
So if I would read your code and see a LEFT JOIN, that's the impression you give me about your data model.
I have two tables usersin and usersout(I can not change schema, a lot of system changes must be done in php otherwise). I should get all user records in a query but I should mark them if they are in or out also a user may have an in record and out record I shouldn't show in record if has an out record.
I have created tables with sample data in SQL Fiddle: http://www.sqlfiddle.com/#!9/ac99a/1/0
Can u help me how can I remove duplicates of user records in this union query?
If you want to have all entries with an entry in either the in or out table, but not in both of them, then a full outer join would be your friend.
Since MySQL does not know that kind of join, you can emulate it with a left outer join and a right outer join combined like so:
SELECT
ui.id, ui.user, 'i'
FROM
usersIN ui
LEFT OUTER JOIN
usersOUT uo ON ui.user = uo.user
WHERE uo.id IS NULL
UNION
SELECT
uo.id, uo.user, 'o'
FROM
usersIN ui
RIGHT OUTER JOIN
usersOUT uo ON ui.user = uo.user
WHERE ui.id IS NULL;
This should give you the right output.
A good visual explanation of joins can be found here
I'm working through the JOIN tutorial on SQL zoo.
Let's say I'm about to execute the code below:
SELECT a.stadium, COUNT(g.matchid)
FROM game a
JOIN goal g
ON g.matchid = a.id
GROUP BY a.stadium
As it happens, it produces the same output as the code below:
SELECT a.stadium, COUNT(g.matchid)
FROM goal g
JOIN game a
ON g.matchid = a.id
GROUP BY a.stadium
So then, when does it matter which table you assign at FROM and which one you assign at JOIN?
When you are using an INNER JOIN like you are here, the order doesn't matter. That is because you are connecting two tables on a common index, so the order in which you use them is up to you. You should pick an order that is most logical to you, and easiest to read. A habit of mine is to put the table I'm selecting from first. In your case, you're selecting information about a stadium, which comes from the game table, so my preference would be to put that first.
In other joins, however, such as LEFT OUTER JOIN and RIGHT OUTER JOIN the order will matter. That is because these joins will select all rows from one table. Consider for example I have a table for Students and a table for Projects. They can exist independently, some students may have an associated project, but not all will.
If I want to get all students and project information while still seeing students without projects, I need a LEFT JOIN:
SELECT s.name, p.project
FROM student s
LEFT JOIN project p ON p.student_id = s.id;
Note here, that the LEFT JOIN refers to the table in the FROM clause, so that means ALL of students were being selected. This also means that p.project will be null for some rows. Order matters here.
If I took the same concept with a RIGHT JOIN, it will select all rows from the table in the join clause. So if I changed the query to this:
SELECT s.name, p.project
FROM student s
RIGHT JOIN project p ON p.student_id = s.id;
This will return all rows from the project table, regardless of whether or not it has a match for students. This means that in some rows, s.name will be null. Similar to the first example, because I've made project the outer joined table, p.project will never be null (assuming it isn't in the original table). In the first example, s.name should never be null.
In the case of outer joins, order will matter. Thankfully, you can think intuitively with LEFT and RIGHT joins. A left join will return all rows in the table to the left of that statement, while a right join returns all rows from the right of that statement. Take this as a rule of thumb, but be careful. You might want to develop a pattern to be consistent with yourself, as I mentioned earlier, so these queries are easier for you to understand later on.
When you only JOIN 2 tables, usually the order does not matter: MySQL scans the tables in the optimal order.
When you scan more than 2 tables, the order could matter:
SELECT ...
FROM a
JOIN b ON ...
JOIN c ON ...
Also, MySQL tries to scan the tables in the fastest way (large tables first). But if a join is slow, it is possible that MySQL is scanning them in a non-optimal order. You can verify this with EXPLAIN. In this case, you can force the join order by adding the STRAIGHT_JOIN keyword.
The order doesn't always matter, I usually just order it in a way that makes sense to someone reading your query.
Sometime order does matter. Try it with LEFT JOIN and RIGHT JOIN.
In this instance you are using an INNER JOIN, if you're expecting a match on a common ID or foreign key, it probably doesn't matter too much.
You would however need to specify the tables the correct way round if you were performing an OUTER JOIN, as not all records in this type of join are guaranteed to match via the same field.
yes, it will matter when you will user another join LEFT JOIN, RIGHT JOIN
currently You are using NATURAL JOIN that is return all tables related data, if JOIN table row not match then it will exclude row from result
If you use LEFT / RIGHT {OUTER} join then result will be different, follow this link for more detail
I need to join four tables into one on some conditions, but I only manage to join three of them, even if I do everything exactly the same on the fourth one. Can somebody, please, help me with this issue? It works if I delete the last paragraph, but if I leave it there it says "syntax error in JOIN operation".
SELECT Leidinys, ISSN, Pobudis
FROM ((Leidinio_ID_Leidinys
LEFT JOIN (Leidinio_ID_ISSN_ID
LEFT JOIN ISSN_ID_ISSN
ON Leidinio_ID_ISSN_ID.ISSN_ID = ISSN_ID_ISSN.ISSN_ID)
ON (Leidinio_ID_Leidinys.Leidinio_ID = Leidinio_ID_ISSN_ID.Leidinio_ID))
LEFT JOIN ((Leidinio_ID_Pobudzio_ID
LEFT JOIN Pobudzio_ID_Pobudis
ON Leidinio_ID_Pobudzio_ID.Pobudzio_ID = Pobudzio_ID_Pobudis.Pobudzio_ID))
ON (Leidinio_ID_Leidinys.Leidinio_ID = Leidinio_ID_Pobudzio_ID.Leidinio_ID))
LEFT JOIN ((Leidinio_ID_Metai_ID
LEFT JOIN Metai_ID_Prieigos_Metai
ON Leidinio_ID_Metai_ID.Metai_ID = Metai_ID_Prieigos_Metai.Metai_ID)
ON (Leidinio_ID_Leidinys.Leidinio_ID = Leidinio_ID_Metai_ID.Leidinio_ID))
your parens are out of sync i bet
you need the first parens after first FROM to enclose all 3 "left joins" clauses, so you need to
1) copy to clipboard then remove the last "left join clause"
2) insert the copied code in front of the very last parens
this is my best guess based on the info provided, good luck
Not a complete answer but a pointer the table names are so similar to each other and also they r not in english so struggling a bit , but here is something you need to do .
JOIN between two table at one time and then mention their joining condition in ON clause
SELECT Leidinys, ISSN, Pobudis
FROM Leidinio_ID_Leidinys LEFT JOIN Leidinio_ID_ISSN_ID --<-- Two Table in JOIN
ON Leidinio_ID_Leidinys.Leidinio_ID = Leidinio_ID_ISSN_ID.Leidinio_ID --<-- Condition on you want to join these table
LEFT JOIN ISSN_ID_ISSN --<-- result set on 1st join, joins with this table
ON Leidinio_ID_ISSN_ID.ISSN_ID = ISSN_ID_ISSN.ISSN_ID --<-- condition on which you want to join the result set and this table ... and so on ....
LEFT JOIN Leidinio_ID_Pobudzio_ID
ON Leidinio_ID_Leidinys.Leidinio_ID = Leidinio_ID_Pobudzio_ID.Leidinio_ID
LEFT JOIN Pobudzio_ID_Pobudis
ON Leidinio_ID_Pobudzio_ID.Pobudzio_ID = Pobudzio_ID_Pobudis.Pobudzio_ID
.
...... Join with other tables along with their joining conditions and so on.....
Then also in your Select statement you need to mention the TableName.Column name because the column names you have mentioned in your Select statement exists in more then One table you need to tell sql server from which table you need that particular column.
I know the usage of joins, but sometimes I come across such a situation when I am not able to decide which join will be suitable, a left or right.
Here is the query where I am stuck.
SELECT count(ImageId) as [IndividualRemaining],
userMaster.empName AS ID#,
CONVERT(DATETIME, folderDetails.folderName, 101) AS FolderDate,
batchDetails.batchName AS Batch#,
Client=#ClientName,
TotalInloaded = IsNull(#TotalInloaded,0),
PendingUnassigned = #PendingUnassigned,
InloadedAssigned = IsNull(#TotalAssigned,0),
TotalProcessed = #TotalProcessed,
Remaining = #Remaining
FROM
batchDetails
Left JOIN folderDetails ON batchDetails.folderId = folderDetails.folderId
Left JOIN imageDetails ON batchDetails.batchId = imageDetails.batchId
Left JOIN userMaster ON imageDetails.assignedToUser = userMaster.userId
WHERE folderDetails.ClientId =#ClientID and verifyflag='n'
and folderDetails.FolderName IN (SELECT convert(VARCHAR,Value) FROM dbo.Split(#Output,','))
and userMaster.empName <> 'unused'
GROUP BY userMaster.empName, folderDetails.folderName, batchDetails.batchName
Order BY folderDetails.Foldername asc
Yes, it depends on the situation you are in.
Why use SQL JOIN?
Answer: Use the SQL JOIN whenever multiple tables must be accessed through an SQL SELECT statement and no results should be returned if there is not a match between the JOINed tables.
Reading this original article on The Code Project will help you a lot: Visual Representation of SQL Joins.
Also check this post: SQL SERVER – Better Performance – LEFT JOIN or NOT IN?.
Find original one at: Difference between JOIN and OUTER JOIN in MySQL.
In two sets:
Use a full outer join when you want all the results from both sets.
Use an inner join when you want only the results that appear in both
sets.
Use a left outer join when you want all the results from set a, but
if set b has data relevant to some of set a's records, then you also
want to use that data in the same query too.
Please refer to the following image:
I think what you're looking for is to do a LEFT JOIN starting from the main-table to return all records from the main table regardless if they have valid data in the joined ones (as indicated by the top left 2 circles in the graphic)
JOIN's happen in succession, so if you have 4 tables to join, and you always want all the records from your main table, you need to continue LEFT JOIN throughout, for example:
SELECT * FROM main_table
LEFT JOIN sub_table ON main_table.ID = sub_table.main_table_ID
LEFT JOIN sub_sub_table on main_table.ID = sub_sub_table.main_table_ID
If you INNER JOIN the sub_sub_table, it will immediately shrink your result set down even if you did a LEFT JOIN on the sub_table.
Remember, when doing LEFT JOIN, you need to account for NULL values being returned. Because if no record can be joined with the main_table, a LEFT JOIN forces that field to appear regardless and will contain a NULL. INNER JOIN will obviously just "throw away" the row instead because there's no valid link between the two (no corresponding record based on the ID's you've joined)
However, you mention you have a where statement that filters out the rows you're looking for, so your question on the JOIN's are null & void because that is not your real problem. (This is if I understand your comments correctly)