the supply table:
supply_id | title | author | price | amount |
+-----------+----------------+------------------+--------+--------+
| 1 | Лирика | Пастернак Б.Л. | 518.99 | 2 |
| 2 | Черный человек | Есенин С.А. | 570.20 | 6 |
| 3 | Белая гвардия | Булгаков М.А. | 540.50 | 7 |
| 4 | Идиот | Достоевский Ф.М. | 360.80 | 3
I am trying to insert into book , all the values from supply:
+---------+-----------------------+------------------+--------+--------+
| book_id | title | author | price | amount |
+---------+-----------------------+------------------+--------+--------+
| 1 | Мастер и Маргарита | Булгаков М.А. | 670.99 | 3 |
| 2 | Белая гвардия | Булгаков М.А. | 540.50 | 5 |
| 3 | Идиот | Достоевский Ф.М. | 460.00 | 10 |
| 4 | Братья Карамазовы | Достоевский Ф.М. | 799.01 | 2 |
| 5 | Стихотворения и поэмы | Есенин С.А. | 650.00 | 15 |
+---------+-----------------------+------------------+--------+--------+
insert into book(title,author,price,amount)
select * from supply;
the primary ids conflict with each other - both tables start with id '1'
ERROR 1136: Column count doesn't match value count at row 1
Your columns in insert and select mismatches. You need to give explicit names of the columns instead of * in SELECT clause.
Try this:
insert into book(title,author,price,amount)
select title,author,price,amount from supply;
Related
I have a table ORDERS with a column named cache_total_price, spent by each client.
+----+-----------+------------+-----------+------------------+
| id | client_id | date | reference | cache_total_price|
+----+-----------+------------+-----------+------------------+
| 1 | 20 | 2019-01-01 | 004214 | 0 |
| 2 | 3 | 2019-01-03 | 007120 | 0 |
| 3 | 11 | 2019-01-04 | 002957 | 0 |
| 4 | 6 | 2019-01-07 | 003425 | 0 |
I have another table ORDERS_REFS where there is the price total spent for each orders id
+-----+-------------+------------+----------+---------------+------------+
| id | order_id | name | quantity | unit_price | total_price|
+-----+-------------+------------+----------+---------------+------------+
| 1 | 1 | Produit 19 | 3 | 49.57 | 148.71 |
| 2 | 1 | Produit 92 | 4 | 81.24 | 324.96 |
| 3 | 1 | Produit 68 | 2 | 17.48 | 34.96 |
| 4 | 2 | Produit 53 | 4 | 83.69 | 334.76 |
| 5 | 2 | Produit 78 | 6 | 5.99 | 35.94 |
I want to had to column cache_total_price the result of my query :
select sum(total_price) from orders_refs group by order_id;
result :
+--------------------+
| sum(total_price) |
+--------------------+
| 508.6299819946289 |
| 370.700008392334 |
| 132.3699951171875 |
| 2090.1800079345703 |
I've tried some queries with Insert into select or update set, but didn't worked :(
If you're wanting to update all the orders at once, in MySQL a subquery like this should do the trick. You could always add a WHERE clause to do one at a time.
UPDATE ORDERS
SET cache_total_price = (
SELECT sum(total_price) from ORDERS_REF where order_id = ORDERS.id
)
update t
set t.cache_total_price=x.sum_total_price
from ORDERS as t
join
(
select order_id,sum(total_price)as sum_total_price
from orders_refs group by order_id
)x on t.id=x.order_id
In SQL Server you can try this one.
I have two tables 'Product' and 'product_Desc'
+-----------+-------------+
| ProductID | ProductName |
+-----------+-------------+
| 1 | A |
| 2 | B |
+-----------+-------------+
+----+-----------+-------------+-----------+
| Id | ProductID | ProductDec | SortOrder |
+----+-----------+-------------+-----------+
| 1 | 1 | Aero-pink | |
| 2 | 1 | Aero-white | |
| 3 | 1 | Aero-green | |
| 4 | 1 | Aero-Orange | |
| 5 | 2 | Baloon-1 | |
| 6 | 2 | Baloon-2 | |
| 7 | 2 | Baloon-3 | |
+----+-----------+-------------+-----------+
Now, what is the Sql code that can update 'sortOrder' column sequentially for each group of ProductID as shown below:
+----+-----------+-------------+-----------+
| Id | ProductID | ProductDec | SortOrder |
+----+-----------+-------------+-----------+
| 1 | 1 | Aero-pink | 1 |
| 2 | 1 | Aero-white | 2 |
| 3 | 1 | Aero-green | 3 |
| 4 | 1 | Aero-Orange | 4 |
| 5 | 2 | Baloon-1 | 1 |
| 6 | 2 | Baloon-2 | 2 |
| 7 | 2 | Baloon-3 | 3 |
+----+-----------+-------------+-----------+
Please note that these are sample tables, actual tables have thousands of records.
Would appreciate your help on this. Thank you
with cte
as
(
select SortOrder, row_number() over(partition by ProductID order by Id) as newPerProductOrder
from product_Desc
)
update cte
set SortOrder = newPerProductOrder
where (SortOrder <> newPerProductOrder or SortOrder is null)
I have 2 tables, tableStock and tableParts:
tableStock
+----+----------+-------------+
| ID | Num_Part | Description |
+----+----------+-------------+
| 1 | sr37 | plate |
+----+----------+-------------+
| 2 | sr56 | punch |
+----+----------+-------------+
| 3 | sl30 | crimper |
+----+----------+-------------+
| 4 | mp11 | holder |
+----+----------+-------------+
tableParts
+----+----------+-------+
| ID | Location | Stock |
+----+----------+-------+
| 1 | A | 2 |
+----+----------+-------+
| 3 | B | 5 |
+----+----------+-------+
| 5 | C | 2 |
+----+----------+-------+
| 7 | A | 1 |
+----+----------+-------+
And I just want to do this:
+----+----------+-------------+----------+-------+
| ID | Num_Part | Description | Location | Stock |
+----+----------+-------------+----------+-------+
| 1 | sr37 | plate | A | 2 |
+----+----------+-------------+----------+-------+
| 2 | sr56 | punch | NULL | NULL |
+----+----------+-------------+----------+-------+
| 3 | sl30 | crimper | B | 5 |
+----+----------+-------------+----------+-------+
| 4 | mp11 | holder | NULL | NULL |
+----+----------+-------------+----------+-------+
List ALL the rows of the first table and if the second table has the info, in this case 'location' and 'stock', add to the column, if not, just null.
I have been using inner and left join but some rows of the first table disappear because the lack of data in the second one:
select tableStock.ID, tableStock.Num_Part, tableStock.Description, tableParts.Location, tableParts.Stock from tableStock inner join tableParts on tableStock.ID = tableParts.ID;
What can I do?
You can use left join. Here is the demo.
select
s.ID,
Num_Part,
Description,
Location,
Stock
from Stock s
left join Parts p
on s.ID = p.ID
order by
s.ID
output:
| id | num_part | description | location | stock |
| --- | -------- | ----------- | -------- | ----- |
| 1 | sr37 | plate | A | 2 |
| 2 | sr56 | punch | NULL | NULL |
| 3 | sl30 | crimper | B | 5 |
| 4 | mp11 | holder | NULL | NULL |
I have a master table (Project List) along with several sub tables that are joined on one common field (RecNum). I need to get totals for all of the sub tables, by column and am not sure how to do it. This is a sample of the table design. There are more columns in each table (I need to pull * from "Project List") but I'm showing a sampling of the column names and values to get an idea of what to do.
Project List
| RecNum | Project Description |
| 6 | Sample description |
| 7 | Another sample |
WeekA
| RecNum | UserName | Day1Reg | Day1OT | Day2Reg | Day2OT | Day3Reg | Day3OT |
| 6 | JustMe | 1 | 2 | 3 | 4 | 5 | 6 |
| 6 | NotMe | 1 | 2 | 3 | 4 | 5 | 6 |
| 7 | JustMe | | | | | | |
| 7 | NotMe | | | | | | |
WeekB
| RecNum | UserName | Day1Reg | Day1OT | Day2Reg | Day2OT | Day3Reg | Day3OT |
| 6 | JustMe | 7 | 8 | 1 | 2 | 3 | 4 |
| 6 | NotMe | 7 | 8 | 1 | 2 | 3 | 4 |
| 7 | JustMe | | | | | | |
| 7 | NotMe | | | | | | |
So the first query should return the complete totals for both users, like this:
| RecNum | Project Description | sumReg | sumOT |
| 6 | Sample description | 40 | 52 |
| 7 | Another sample | 0 | 0 |
The second query should return the totals for just a specified user, (WHERE UserName = 'JustMe') like this:
| RecNum | Project Description | sumReg | sumOT |
| 6 | Sample description | 20 | 26 |
| 7 | Another sample | 0 | 0 |
Multiple parallel tables with the same structure is usually a sign of poor database design. The data should really be all in one table, with additional columns specifying the week.
You can, however, use union all to bring the data together. The following is an example of a query:
select pl.recNum, pl.ProjectDescription,
sum(Day1Reg + Day2Reg + Day3Reg) as reg,
sum(Day1OT + Day2OT + Day3OT) as ot
from ProjectList pl join
(select * from weekA union all
select * from weekB
) w
on pl.recNum = w.recNum
group by l.recNum, pl.ProjectDescription,;
In practice, you should use select * with union all. You should list the columns out explicitly. You can add appropraite where clauses or conditional aggregation to get the results you want in any particular case.
I have the following table:
mysql> SELECT * FROM `bright_promotion_earnings`;
+----+----------+------------+----------+-------+
| id | promoter | generation | turnover | payed |
+----+----------+------------+----------+-------+
| 1 | 4 | 1 | 10 | 0 |
| 3 | 4 | 5 | 100 | 0 |
| 4 | 4 | 3 | 10000 | 1 |
| 5 | 4 | 3 | 200 | 0 |
+----+----------+------------+----------+-------+
4 rows in set (0.00 sec)
There is one unique key(promoter, generation, payed):
+---------------------------+------------+------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment |
+---------------------------+------------+------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
| bright_promotion_earnings | 0 | promoter_2 | 1 | promoter | A | 2 | NULL | NULL | YES | BTREE | |
| bright_promotion_earnings | 0 | promoter_2 | 2 | generation | A | 4 | NULL | NULL | | BTREE | |
| bright_promotion_earnings | 0 | promoter_2 | 3 | payed | A | 4 | NULL | NULL | | BTREE | |
+---------------------------+------------+------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
3 rows in set (0.00 sec)
Now I want to mark every earning for a promoter as paid by updating the same entry with paid=1 (if it exists).
So if I wanted to mark the earnings of promoter 4 as paid this is what the table should look like:
+----+----------+------------+----------+-------+
| id | promoter | generation | turnover | payed |
+----+----------+------------+----------+-------+
| 4 | 4 | 3 | 10200 | 1 |
| 6 | 4 | 5 | 100 | 1 |
| 7 | 4 | 1 | 10 | 1 |
+----+----------+------------+----------+-------+
3 rows in set (0.00 sec)
This is my current approach(without the DELETE which is trivial):
INSERT INTO
bright_promotion_earnings
(
promoter,
generation,
turnover,
payed
)
SELECT
commission.promoter,
commission.generation,
commission.turnover as turnover2,
'1' as payed
FROM
bright_promotion_earnings as commission
WHERE
promoter=4
AND payed=0
ON DUPLICATE KEY UPDATE turnover=turnover+turnover2;
But mysql keeps telling me that turnover is ambiguous:
#1052 - Column 'turnover' in field list is ambiguous
Does anybody have a hint as I can't alias the table that I'm inserting to.
How can I give the table I'm inserting to a name so that mysql can identify the column?
Thanks in advance.
you have a turnover field in both tables, so mysql can't decide which one you mean at the last row.