I am trying to merge several rows with the same "OrderNumber". An order have several rows with different data records. Each time step is saved in one record, as you can see in the image below.
Now I would like to summarize the time information for the respective "OrderNumber"s. So it should look like this:
I was wondering how to make this with an SQL query..
Use GROUP BY with following query:
SELECT
OrderNumber,
MAX(DateOfReceipt),
MAX(ShippingDate),
MAX(ControlDate),
MAX(DeliveryDate)
FROM
Table
GROUP BY
OrderNumber
Related
Essentially I have a table in my database called Table1 with the following data:
The table has a ProductID that repeats because the values of AssignedColour, ColourFinding and ColourPower vary.
I would like to present all ProductID data in one single row, meaning if there is more than one AssignedColour, ColourFinding and ColourPower listed, it will contain a number at the end.
The final result I of the SELECT query should look like the following:
The number of columns presented horizontally is based on the number of AssignedColour per ProductID
Is something like this possible to accomplish in a mySQL SELECT Query?
An SQL query cannot expand the number of columns of the result set depending on the data values it discovers during query execution. The columns in the SELECT-list must be fixed at the time the query is prepared, before it reads any data.
Also the column names cannot be changed during the query execution. They must be set at the time the query is prepared.
There's no way to do what you are describing in a single SQL query. Your options are:
Do two queries: one to enumerate the colors per product, and then use the result of the first to format a second query with the columns you want.
Do one query to fetch the data in rows as it exists in your table, then write code in your app to display it in rows however you think is best.
Either way, you have to write at least a bit of code in the client. You can't do this in one query.
I am trying to do my first steps with SQL. Currently I am trying to analyse a database and stepped over a problem which I can't explain. Eventually someone could give me a hint.
I have a mySQL table ('cap851312') witch has 330.178 table rows. I already imported the table to Excel, and verified this number!
Every single row includes a field (column 'ID_MES_ANO') for the entries date. For the time being, all the date is uniquely set "201312".
Starting the following command, I would expect to see as a result the given number of rows, however the number which appears is 476.598.
SELECT movedb.cap851312.ID_MES_ANO, count(*)
FROM movedb.cap851312;
I already imported the file to Excel, and verified the number of lines. Indeed, it is 330.178!
How could I find out, what exactly is going wrong?
Update:
I've tried:
SELECT count(*) FROM movedb.cap851312
This returns as well 476.598.
As I am using workbench, I easily could confirm the numer of 330.178 table rows.
Update 2:
The Workbench Table Inspector confirms: "Table rows: 330178"
Solved - However unsure why:
I changed the statement to
SELECT count(ID_MES_ANO) FROM movedb.cap851512;
This time the result is 330178 !
COUNT(*) counts all rows.
COUNT(ID_MES_ANO) counts only rows for which ID_MES_ANO is not null.
So the difference between the two are the rows where ID_MES_ANO is null.
You can verify this with
SELECT count(*) FROM movedb.cap851512 WHERE ID_MES_ANO IS NULL;
By the way:
SELECT movedb.cap851312.ID_MES_ANO, count(*) FROM movedb.cap851312;
means: aggregate all rows to one single result row (by using the aggregate function COUNT without GROUP BY). This result row shows ID_MES_ANO and the number of all records. Standard SQL does not allow this, because you don't tell the DBMS which ID_MES_ANO of those hundreds of thousands of records to show. MySQL violates the standard here and simply picks one ID_MES_ANO arbitrarily from the rows.
I have a database "warehouse" including tables of daily inventory records, one table for each day.
Now, I need to check the historic change of the inventory level. The output will print the inventory of each day given certain criteria.
I am not sure how to describe it, so I created a simplified sample of the schema, its tables and the expected output.
The schema "warehouse" has a list of tables:
Each table contains the same columns for product ID and inventory, below is table 101
For each table, I need to do a query:
select count(*) as num_of_product_with_inventory from [table name]. After I have the query result from each table, I should have an output like in below:
Can anyone show me how the query should look like to get the final output? I only know the basic queries and have no clue how to put these together. Thank you!
The data model you have is making your work harder than it should be.
If you must keep it, you will need to use a stored procedure or do the loop in your code (not in sql).
But you should really do is change the data model.
It is not recommended at all to create a table per day!
It's a mix of DATA with METADATA. The table structure should represent different types of data that you store, while the fact that you had different inventory on date X vs date Y should be in your data.
So, recommend to create one table with columns date, product_id and warehouse_inventory. If it gets too big, you can partition it by date (week/month/..). Then you can easily get your data with something like:
SELECT date, count(*) AS num_of_products_with_inventory
FROM daily_inventory i
WHERE i.date BETWEEN '<some date>' and '<some date>'
GROUP BY date
I have a scenario. I have say 300 records in my table. I execute a query to get the total count. Then , since i have to implement pagination,
I select the data from the same table using limits according t the count. I was thinking if i can get the count and data in a single query.? .
I tried below code:
Select * ,count(*) as cnt from table;
But this gave me the total count but only 1 record!
Is there a way to save my time exhausted in query and get results in a single query?
something like:
select t1.*,t2.cnt
from table t1
cross join (select count(*) as cnt from table) t2
limit 'your limit for the first page'
or
select *,(select count(*) from table) as cnt
from table
limit 'your limit for the first page'
You can get information in data structure you mentioned, but there is really no reason to do it. There is no performance problem when you do two queries - one for getting rows count and another for data selection. You don't save anything when you try to select all information in one query. Do two simple queries instead, it will be better solution for your app - you will preserve its simplicity and clarity.
Using two queries might not be as bad as you may think, you can read this for more information.
Here is my case, I have a database table with below fields:
name
place_code
email
phone
address
details
estd
others
and example data
If you look at the above example table, first three records are talking about xyz and place code 1020.
I want to create a single record for these three records based on
substring(name,1,4)
place_code
(I am lucky here for all the similar records satisfies this condition and unique in the table.)
For the other columns which record column length has max. For example again for the above 3 records email should be test#te.com, phone should be 657890 and details should be "testdetails".
This should be done for all the table. (Some has single records and some has max 10 records.)
Any help on query that helps me to get the desired result?
Answer
Some one posted the below answer and deleted it . But that looks a good solution
SELECT max(name),
place_code,
max(email),
max(phone),
max(address),
max(details),
max(estd),
max(others)
FROM table_x
GROUP BY substring(name,1,4),place_code
Please let me know if you guys see any issues in it ?
Thank You all
Kiran
You need the awesome GROUP_CONCAT aggregate function.
SELECT place_code,
substring(name,1,4) name,
GROUP_CONCAT(email),
GROUP_CONCAT(Phone),
GROUP_CONCAT(details)
FROM table
GROUP BY place_code, substring(name,1,4)
It has options allowing you to control things like the order of items in the string and the separators. See http://dev.mysql.com/doc/refman/5.0/en/group-by-functions.html#function_group-concat
SELECT max(name),
place_code,
max(email),
max(phone),
max(address),
max(details),
max(estd),
max(others)
FROM table_x
GROUP BY substring(name,1,4),place_code