I have those queries
SELECT CA_id, item_id, item_Cant, item_desc FROM items WHERE CA_id = 135
SELECT CA_id, prov_name, unitval, totval FROM provprices WHERE CA_id = 135 AND prov_name = 'SITECH'
and I want to join this two results, just like:
item_id - item_Cant - item_desc - unitval - totval
I tried diferent forms but the max that i can get is:
(If you notice the result from second table is dublicated, should be like the second image )
SELECT items.item_id,items.item_Cant,items.item_desc,provprices.unitval,provprices.totval
FROM items,provprices
WHERE items.CA_id = provprices.CA_id
AND provprices.prov_name = 'SITECH'
AND items.CA_id = '135'
GROUP BY items.item_id
If i change to GROUP BY provprices.unitval the duplicated result now is the first one
I hope you can help me. Thanks
I don't understand so much, but try this,
How do you wanna calculate the unitval and the totval
select item_id, item_Cant, item_desc, AVG(unitval), sum(totval)
from (
SELECT CA_id, item_id, item_Cant, item_desc
FROM items
WHERE CA_id = 135
) A
inner join (
SELECT CA_id, prov_name, unitval, totval
FROM provprices
WHERE CA_id = 135 AND prov_name = 'SITECH'
) B ON A.CA_id=B.CA_id
GROUP BY item_id, item_Cant, item_desc
Related
Query with OR which outputs wrong
SELECT DISTINCT
sm___employees.id,
sm___employees.employee_code,
sm___employees.leaving_date,
sm___employees.name_of_employee,
sm___employees.position,
sm___employees.rating,
sm___employees.entry_date
FROM
sm___employees
JOIN
sm___employee_skills
ON
sm___employees.id=sm___employee_skills.employee_id
WHERE
((sm___employee_skills.skill_id=1 AND sm___employee_skills.ans LIKE '%MBA%')
**OR**
(sm___employee_skills.skill_id=5 AND sm___employee_skills.ans IN (3)))
AND
sm___employees.rating IN (1)
ORDER BY
sm___employee_skills.date DESC
But I want it by And
SELECT DISTINCT
sm___employees.id,
sm___employees.employee_code,
sm___employees.leaving_date,
sm___employees.name_of_employee,
sm___employees.position,
sm___employees.rating,
sm___employees.entry_date
FROM
sm___employees
JOIN
sm___employee_skills
ON
sm___employees.id=sm___employee_skills.employee_id
WHERE
((sm___employee_skills.skill_id=1 AND sm___employee_skills.ans LIKE '%MBA%')
**AND**
(sm___employee_skills.skill_id=5 AND sm___employee_skills.ans IN (3)))
AND
sm___employees.rating IN (1)
ORDER BY
sm___employee_skills.date DESC
When am using first query with OR of MBA or 3, It gives me result for both which is correct as per OR operation
I want only those records which are having MBA AND 3 which gives me blank records when there are records available with this comparison
So please help me to resolve this.
Thank you in advance
To start with: DISTINCT often indicates a badly written query. This is the case here. You are joining records only to dismiss them later. If you want employee records, then select from the employee table. If you have criteria on the skills table check this in the WHERE clause. Don't join.
Then the WHERE clause looks at one row at a time. So neither skill_id = ... AND skill_id = ... nor skill_id = ... OR skill_id = ... can work for you. You must look up the skills table twice:
SELECT
id,
employee_code,
leaving_date,
name_of_employee,
position,
rating,
entry_date
FROM sm___employees
WHERE rating IN (1)
AND id IN
(
SELECT employee_id
FROM sm___employee_skills
WHERE skill_id = 1 AND ans LIKE '%MBA%'
)
AND id IN
(
SELECT employee_id
FROM sm___employee_skills
WHERE skill_id = 5 AND ans IN (3)
);
And here is a way to look up skills just once:
SELECT
id,
employee_code,
leaving_date,
name_of_employee,
position,
rating,
entry_date
FROM sm___employees
WHERE rating IN (1)
AND id IN
(
SELECT employee_id
FROM sm___employee_skills
WHERE (skill_id = 1 AND ans LIKE '%MBA%')
OR (skill_id = 5 AND ans IN (3))
GROUP BY employee_id
HAVING COUNT(DISTINCT skill_id) = 2 -- both skills
);
It seems strange though that you consider ans to be a string in one place (ans LIKE '%MBA%') and a number in another (ans IN (3)).
UPDATE: If you want to sort by skill date, you should consider by which skill's date. For this to happen, you would join, but not join the skills table, but the skills aggregate result. E.g.:
SELECT
e.id,
e.employee_code,
e.leaving_date,
e.name_of_employee,
e.position,
e.rating,
e.entry_date
FROM sm___employees e
JOIN
(
SELECT employee_id, MAX(date) AS max_date
FROM sm___employee_skills
WHERE (skill_id = 1 AND ans LIKE '%MBA%')
OR (skill_id = 5 AND ans = 3)
GROUP BY employee_id
HAVING COUNT(DISTINCT skill_id) = 2 -- both skills
) s ON s.employee_id = e.id
WHERE e.rating = 1
ORDER BY s.max_date;
Please try this :
SELECT DISTINCT
sm1.id,
sm1.employee_code,
sm1.leaving_date,
sm1.name_of_employee,
sm1.position,
sm1.rating,
sm1.entry_date
FROM sm___employees sm1
LEFT JOIN sm___employee_skills sm2 ON sm1.id = sm2.employee_id
WHERE ((sm2.skill_id=1 AND sm2.ans LIKE '%MBA%')
AND (sm2.skill_id=1 AND sm2.ans=3))
AND sm1.rating IN (1)
ORDER BY sm2.date DESC;
im having issues getting a query to output how i want,
SELECT
`orders`.`item_id`,
`products`.`item_code`,
`products`.`item_name`,
`orders`.`quantity`
FROM
`orders`
JOIN `products` ON `orders`.`item_id` = `products`.`id`
JOIN `suppliers` ON `products`.`supplier_ref` = `suppliers`.`supplier_ref`
WHERE
`suppliers`.`id` = 159
AND `orders`.`order_status` = 'NOTED'
which is returning the results:
item_id item_code item_name quantity
1271 RA001G Green Mop Bucket 12L 2
1270 RA001 Blue Mop Bucket 12L 1
1270 RA001 Blue Mop Bucket 12L 1
but i would like it to bring back distinct item_id with the quantity added together how ever when i've tried to add distinct and count i end up only have one line returned.
If you want to sum up the quantities for same items, try grouping over item_id. Like this:
SELECT
`orders`.`item_id`,
`products`.`item_code`,
`products`.`item_name`,
sum(`orders`.`quantity`) as quantity,
FROM
`orders`
JOIN `products` ON `orders`.`item_id` = `products`.`id`
JOIN `suppliers` ON `products`.`supplier_ref` = `suppliers`.`supplier_ref`
WHERE
`suppliers`.`id` = 159
AND `orders`.`order_status` = 'NOTED'
GROUP BY `orders`.`item_id`,
`products`.`item_code`,
`products`.`item_name`
Please use group by clause
SELECT
`orders`.`item_id`,
`products`.`item_code`,
`products`.`item_name`,
sum(`orders`.`quantity`) as quantity
FROM
`orders`
JOIN `products` ON `orders`.`item_id` = `products`.`id`
JOIN `suppliers` ON `products`.`supplier_ref` = `suppliers`.`supplier_ref`
WHERE
`suppliers`.`id` = 159 AND `orders`.`order_status` = 'NOTED'
group by
`orders`.`item_id`;
I have 2 tables namely ItemList table and ItemChara table, having this kind of structure:
wherein, Item_Num of Item Chara is a foreign key of Item List table. Now I'm trying to JOIN these tables. With a given like these.
How can I JOIN these tables with those values to form something Like this
I'm trying to find out what is the simplest way to achieve this. I limit the colors in table Item Chara at maximum of 2 colors per Item so it won't exceed 2 colors per item. I want to make another column like Color1 and Color2 to get each color in each item. If it happens that the item doesn't have a color to pair up with, it would just left blank, or null maybe.
Sorry but I'm not sure what to call the thing that I want to do but I know the output that I want to have, so the question title might be irrelevant. I'll change it as soon as I found out.
One way to do this is to use the row_number() window function:
select
i.item_num, i.item_name,
max(case when rn = 1 then ic.chara_color end) color1,
max(case when rn = 2 then ic.chara_color end) color2
from itemlist i
join (
select
item_num, chara_color,
rn = row_number() over (partition by item_num order by chara_num)
from itemchara
) ic on i.item_num = ic.item_num
group by i.item_num, item_name;
Below code will give u the required result.
select A.item_num,A.Item_name,
max(Color_1) AS Color_1,
max(Color_2) As Color_2
from (
select il.item_num,il.Item_name,
(case when ic.chara_num = 1 then ic.chara_color END) AS Color_1,
(case when ic.chara_num = 2 then ic.chara_color END) AS Color_2
from Item_List il inner join Item_Chara ic on il.Item_Num = ic.Item_Num
) A
group by item_num,Item_name
This code is not tested may be have some syntax erro which u need to check and sort it out. Let me know if still ur facing some issue.
Similar to other answers, but since I already made it I might post it anyway.
;with itemlist(itemId, itemName)
as
(
select 1,'Bag'
union ALL
select 2,'Pen'
union ALL
select 3,'Bike'
union ALL
select 4,'Shoes'
)
,itemchara(charaId, itemId, charaColor)
as
(
select 1, 1, 'Blue'
union all
select 2, 1, 'Red'
union all
select 3, 2, 'Black'
union all
select 4, 2, 'Blue'
union all
select 5, 3, 'Green'
union all
select 6, 4, 'Black'
)
,tmp
as
(
select i.itemName
,c.*
,row_number () over ( partition by c.itemId order by c.charaId ) as r
from itemlist i
join itemchara c
on i.itemId = c.itemId
)
select t1. itemId
,t1.itemName
,t1.charaColor
,t2.charaColor
from tmp t1
left join tmp t2
on t1.r+1 = t2.r
and t1.itemId = t2.itemId
where t1.r = 1
I'd need to optimize the following query which takes up to 10 minutes to run.
Performing the explain it seems to be running on all 350815 rows of the "table_3" table and 1 for all the others.
General rules to place indexes the propper way? Should I think about using multidimensional indexes? Where should I use them at first on the JOINS, the WHERE or the GROUP BY, if I remember right there should be a hierarchy to follow. Also If I have 1 row for all tables but one (in the row column of the explain table) how can I optimize usually my optimization consists in ending up with only one row for all columns but one.
All tables average from 100k to 1000k+ rows.
CREATE TABLE datab1.sku_performance
SELECT
table1.sku,
CONCAT(table1.sku,' ',table1.fk_container ) as sku_container,
table1.price as price,
SUM( CASE WHEN ( table1.fk_table1_status = 82
OR table1.fk_table1_status = 119
OR table1.fk_table1_status = 124
OR table1.fk_table1_status = 141
OR table1.fk_table1_status = 131) THEN 1 ELSE 0 END)
/ COUNT( DISTINCT id_catalog_school_class) as qty_returned,
SUM( CASE WHEN ( table1.fk_table1_status In (23,13,44,65,6,75,8,171,12,166))
THEN 1 ELSE 0 END)
/ COUNT( DISTINCT id_catalog_school_class) as qt,
container.id_container as container_id,
container.idden as container_idden,
container.delivery_badge,
catalog_school.id_catalog_school,
LEFT(catalog_school.flight_fair,2) as departing_country,
catalog_school.weight,
catalog_school.flight_type,
catalog_school.price,
table_3.id_table_3,
table_3.fk_catalog_brand,
MAX( LEFT( table_3.note,3 )) AS supplier,
GROUP_CONCAT( product_number, ' by ',FORMAT(catalog_school_class.quantity,0)
ORDER BY product_number ASC SEPARATOR ' + ') as supplier_prod,
Sum( distinct( catalog_school_class.purch_pri * catalog_school_class.quantity)) AS final_purch_pri,
catalog_groupp.idden as supplier_idden,
catalog_category_details.id_catalog_category,
catalog_category_details.cat1 as product_cat1,
catalog_category_details.cat2 as product_cat2,
COUNT( distinct catalog_school_class.id_catalog_school_class) as setinfo,
datab1.pageviewgrouped.pv as page_views,
Sum(distinct(catalog_school_class.purch_pri * catalog_school_class.quantity)) AS purch_pri,
container_has_table_3.position,
max( table1.created_at ) as last_order_date
FROM
table1
LEFT JOIN container
ON table1.fk_container = container.id_container
LEFT JOIN catalog_school
ON table1.sku = catalog_school.sku
LEFT JOIN table_3
ON catalog_school.fk_table_3 = table_3.id_table_3
LEFT JOIN container_has_table_3
ON table_3.id_table_3 = container_has_table_3.fk_table_3
LEFT JOIN datab1.pageviewgrouped
on table_3.id_table_3 = datab1.pageviewgrouped.url
LEFT JOIN datab1.catalog_category_details
ON datab1.catalog_category_details.id_catalog_category = table_3_has_catalog_minority.fk_catalog_category
LEFT JOIN catalog_groupp
ON table_3.fk_catalog_groupp = catalog_groupp.id_catalog_groupp
LEFT JOIN table_3_has_catalog_minority
ON table_3.id_table_3 = table_3_has_catalog_minority.fk_table_3
LEFT JOIN catalog_school_class
ON catalog_school.id_catalog_school = catalog_school_class.fk_catalog_school
WHERE
table_3.status_ok = 1
AND catalog_school.status = 'active'
AND table_3_has_catalog_minority.is_primary = '1'
GROUP BY
table1.sku,
table1.fk_container;
rows per table :
.table1 960096 to 1.3mn rows
.container 9275 to 13000 rows
.catalog_school 709970 to 1 mn rows
.table_3 709970 to 1 mn rows
.container_has_table_3 709970 to 1 mn rows
.pageviewgrouped 500000 rows
.catalog_school_class 709970 to 1 mn rows
.catalog_groupp 3000 rows
.table_3_has_catalog_minority 709970 to 1 mn rows
.catalog_category_details 659 rows
Too much to put into a single comment, so I'll add here and adjust later as possibly needed... You have LEFT JOINs everywhere, but your WHERE clause is specifically qualifying fields from the Table_3, Catalog_School and Table_3_has_catalog_minority. This by default changes them to INNER JOINs.
With respect to your where clause
WHERE
table_3.status_ok = 1
AND catalog_school.status = 'active'
AND table_3_has_catalog_minority.is_primary = '1'
Which table / column would have the smallest results based on these criteria. ex: Table_3.Status_ok = 1 might have 500k records but table_3_has_catalog_minority.is_primary may only have 65k and catalog_school.status = 'active' may have 430k.
Also, some of your columns are not qualified with the table they are coming from. Can you please confirm... such as "id_catalog_school_class" and "product_number"
SOMETIMES, changing the order of the tables, with good knowledge of the makeup of the data and in MySQL adding a "STRAIGHT_JOIN" keyword can improve performance. This was something I've had in the past working with gov't database of contracts and grants with 20+ million records and joining to about 15+ lookup tables. It went from hanging the server to getting the query finished in less than 2 hrs. Considering the amount of data I was dealing with, that was actually a good time.
AFTER dissecting this thing some, I restructured a bit more for readability, added aliases for table references and changed the order of the query and have some suggested indexes. To help the query, I tried moving the Catalog_School table to the first position and added the STRAIGHT_JOIN. The index is based on the STATUS first to match the WHERE clause, THEN I included the SKU as it is first element of the GROUP BY, then the other columns used to join to the subsequent tables. By having these columns in the index, it can qualify the joins without having to go to the raw data.
By changing the group by to the Catalog_School.SKU instead of table_1.SKU the index from catalog_school can be used to help optimize that. It is the same value since the join from the catalog_school.sku = table_1.sku. I also added index references for table_1 and table_3 that are suggestions -- again, to preemptively qualify the joins without going to the raw data pages of the tables.
I would be interested in knowing the final performance (better or worse) from your data.
TABLE INDEX ON...
catalog_school ( status, sku, fk_table_3, id_catalog_school )
table_1 ( sku, fk_container )
table_3 ( id_table_3, status_ok, fk_catalog_groupp )
SELECT STRAIGHT_JOIN
CS.sku,
CONCAT(CS.sku,' ',T1.fk_container ) as sku_container,
T1.price as price,
SUM( CASE WHEN ( T1.fk_table1_status IN ( 82, 119, 124, 141, 131)
THEN 1 ELSE 0 END)
/ COUNT( DISTINCT CSC.id_catalog_school_class) as qty_returned,
SUM( CASE WHEN ( T1.fk_table1_status In (23,13,44,65,6,75,8,171,12,166))
THEN 1 ELSE 0 END)
/ COUNT( DISTINCT CSC.id_catalog_school_class) as qt,
CS.id_catalog_school,
LEFT(CS.flight_fair,2) as departing_country,
CS.weight,
CS.flight_type,
CS.price,
T3.id_table_3,
T3.fk_catalog_brand,
MAX( LEFT( T3.note,3 )) AS supplier,
C.id_container as container_id,
C.idden as container_idden,
C.delivery_badge,
GROUP_CONCAT( product_number, ' by ',FORMAT(CSC.quantity,0)
ORDER BY product_number ASC SEPARATOR ' + ') as supplier_prod,
Sum( distinct( CSC.purch_pri * CSC.quantity)) AS final_purch_pri,
CGP.idden as supplier_idden,
CCD.id_catalog_category,
CCD.cat1 as product_cat1,
CCD.cat2 as product_cat2,
COUNT( distinct CSC.id_catalog_school_class) as setinfo,
PVG.pv as page_views,
Sum(distinct(CSC.purch_pri * CSC.quantity)) AS purch_pri,
CHT3.position,
max( T1.created_at ) as last_order_date
FROM
catalog_school CS
JOIN table1 T1
ON CS.sku = T1.sku
LEFT JOIN container C
ON T1.fk_container = C.id_container
LEFT JOIN catalog_school_class CSC
ON CS.id_catalog_school = CSC.fk_catalog_school
JOIN table_3 T3
ON CS.fk_table_3 = T3.id_table_3
JOIN table_3_has_catalog_minority T3HCM
ON T3.id_table_3 = T3HCM.fk_table_3
LEFT JOIN datab1.catalog_category_details CCD
ON T3HCM.fk_catalog_category = CCD.id_catalog_category
LEFT JOIN container_has_table_3 CHT3
ON T3.id_table_3 = CHT3.fk_table_3
LEFT JOIN datab1.pageviewgrouped PVG
on T3.id_table_3 = PVG.url
LEFT JOIN catalog_groupp CGP
ON T3.fk_catalog_groupp = CGP.id_catalog_groupp
WHERE
CS.status = 'active'
AND T3.status_ok = 1
AND T3HCM.is_primary = '1'
GROUP BY
CS.sku,
T1.fk_container;
With this query, I am getting result with null values and duplicate Ids...
SELECT QuesId,QuesName,[Ketan Mevada],[Parvej],[Parvez Vahora]
FROM (
SELECT tbl_EvolutionAnswer.QuesId,tbl_QuestionMaster.Name as QuesName,
dbo.Evaluation_Calculation_CourseWise(tbl_EvolutionAnswer.QuesId,34,'Course-Green Course-2045',1065, tbl_EvolutionAnswer.TrainerId ) as Average,
tbl_EvolutionAnswer.TrainerId,
tbl_TrainerMaster.Name as TrName
from tbl_EvolutionAnswer
inner join tbl_TrainerMaster
on tbl_EvolutionAnswer.TrainerId = tbl_TrainerMaster.Id
inner join tbl_QuestionMaster
on tbl_EvolutionAnswer.QuesId = tbl_QuestionMaster.QuestionId
where tbl_EvolutionAnswer.EvolId =34
and tbl_EvolutionAnswer.TrainerId <> 0
and tbl_EvolutionAnswer.CourseId = 'Course-Green Course-2045'
and tbl_EvolutionAnswer.SchID = 1065
) as Books
PIVOT (
MAX(Average) FOR TrName IN ([Ketan Mevada],[Parvej],[Parvez Vahora])
) as Result
I need Following Output
QuesId QuesName Ketan Mevada Parvej Parvez Vohra
122 Did your trainer answer... 2 3 2
123 was your trainer activ.. 1 4 3
It appears that you have a column inside your subquery that is unique and it is causing the grouping of the aggregate function to be skewed. When you are using the PIVOT function, you should only include the columns needed for the PIVOT and the final select list, otherwise you run the risk of the end result being spilt over multiple rows.
It looks like the column you need to remove is tbl_EvolutionAnswer.TrainerId. Making your actual query:
SELECT QuesId,QuesName,[Ketan Mevada],[Parvej],[Parvez Vahora]
FROM
(
SELECT tbl_EvolutionAnswer.QuesId,
tbl_QuestionMaster.Name as QuesName,
dbo.Evaluation_Calculation_CourseWise(tbl_EvolutionAnswer.QuesId,34,'Course-Green Course-2045',1065, tbl_EvolutionAnswer.TrainerId ) as Average,
tbl_TrainerMaster.Name as TrName
from tbl_EvolutionAnswer
inner join tbl_TrainerMaster
on tbl_EvolutionAnswer.TrainerId = tbl_TrainerMaster.Id
inner join tbl_QuestionMaster
on tbl_EvolutionAnswer.QuesId = tbl_QuestionMaster.QuestionId
where tbl_EvolutionAnswer.EvolId =34
and tbl_EvolutionAnswer.TrainerId <> 0
and tbl_EvolutionAnswer.CourseId = 'Course-Green Course-2045'
and tbl_EvolutionAnswer.SchID = 1065
) as Books
PIVOT (
MAX(Average) FOR TrName IN ([Ketan Mevada],[Parvej],[Parvez Vahora])
) as Result