Basically, I'm trying to retrieve only 1 record from a table based on catalog_no and packing_list_no. However, the table I'm retrieving the information from has additional details that I don't need but makes the 1 record I need into 3 distinct records.
I tried summing and grouping the info, but I'm still getting 3 records instead of 1.
Any ideas of how to solve this issue?
Your GROUP BY groups your result on the columns quantity picked, quantity shipped and weight shipped. A different value in any of those columns will result into a different row.
You can drop the GROUP BY clause all together, if the desirable result is the packing list and catalog no that you have specified. You can use the GROUP BY clause to columns that you do not use sum to group the result set.
SELECT catalog_no, sum(qty_picked), sum(qty_shipped), sum(weight_shipped), packing_list_no, bay_no, carrier_code, tracking_no FROM oeorder_shipping
WHERE packing_list_no='CP12618525' AND catalog_no='437656500'
GROUP BY bay_no, carrier_code, tracking_no;
Related
How can I retrieve rows where BID comes up multiple times in AID
You can see the sample below, AID and BID columns are under the PrimaryID, and BIDs are under AID. I want to come up with an output that only takes records where BIDs had 1 to many relationship with records on AIDs column. Example output below.
I provided a small sample of data, I am trying to retrieve 20+ columns and joining 4 tables. I have unqiue PrimaryIDs and under those I have multiple unique AIDs, however under these AIDs I can have multiple non-unqiue BIDs that can repeatedly come up under different AIDs.
Hive supports window functions. A window function can associate every row in a group with an attribute of the group. Count() being one of the supported functions. In your case you can use that a and select rows for which that count > 1
The partition by clause you specify which columns define the group, tge same way that you would in the more familiar group by clause.
Something like this:
select * from
(
Select *,
count(*) over (partition by primaryID,AID) counts
from mytable
) x
Where counts>1
On a report builder 3.0, i retreived some items and counted them using a Count aggregate. Now i want to order them from highest to lowest. How do i use the ORDER BY function on the aggregated column? The picture below show the a column that i want to ORDER BY it, it is ticked.
Pic
The code is vers simple as shown bellow:
SELECT DISTINCT act_id,NameOfAct,
FROM Acts
Your picture indicates you also want a Total row at the bottom:
SELECT
COALESCE(NameOfAct,'Total') NameOfAct,
COUNT(DISTINCT act_id) c
FROM Acts
GROUP BY ROLLUP(NameOfAct)
ORDER BY
CASE WHEN NameOfAct is null THEN 1 ELSE 0 END,
c DESC;
Result of example data:
NameOfAct count
-------------- -------
Act_B 3
Act_A 2
Act_Z 1
Total 6
Try it with example rows at: http://sqlfiddle.com/#!18/dbd6c/2
I looked at the Pic. So you might have duplicate acts with the same name. And you want to know the number of acts that have the same unique name.
You might want to group the results by name:
GROUP BY NameOfAct
And include the act names and their counts in the query results:
SELECT NameOfAct, COUNT(*) AS ActCount
(Since the act_id column is not included in the groups, you need to omit it in the SELECT. The DISTINCT is also not necessary anymore, since all groups are unique already.)
Finally, you can sort the data (probably descending to get the acts with the largest count on top):
ORDER BY ActCount DESC
Your complete query would become something like this:
SELECT NameOfAct, COUNT(*) AS ActCount
FROM Acts
GROUP BY NameOfAct
ORDER BY ActCount DESC
Edit:
By the way, you use field "act_id" in your SELECT clause. That's somewhat confusing. If you want to know counts, you want to look at either the complete table data or group the table data into smaller groups (with the GROUP BY clause). Then you can use aggregate functions to get more information about those groups (or the whole table), like counts, average values, minima, maxima...
Single record information, like an act's ID in your case, is typically not important if you want to use statistic/aggregate methods on grouped data. Suppose your query returns an act name which is used 10 times. Then you have 10 records in your table, each with a unique act_id, but with the same name.
If you need just one act_id that represents each group / act name (and assuming act_id is an autonumbering field), you might include the latest / largest act_id value in the query using the MAX aggregate function:
SELECT NameOfAct, COUNT(*) AS ActCount, MAX(act_id) AS LatestActId
(The rest of the query remains the same.)
total novice here with SQL SUM function question. So, SUM function itself works as I expected it to:
select ID, sum(amount)
from table1
group by ID
There are several records for each ID and my goal is to summarize each ID on one row where the next column would give me the summarized amount of column AMOUNT.
This works fine, however I also need to filter out based on certain criteria in the summarized amount field. I.e. only look for results where the summarized amount is either bigger, smaller or between certain number.
This is the part I'm struggling with, as I can't seem to use column AMOUNT, as this messes up summarizing results.
Column name for summarized results is shown as "00002", however using this in the between or > / < clause does not work either. Tried this:
select ID, sum(amount)
from table1
where 00002 > 1000
group by ID
No error message, just blank result, however plenty of summarized results with values over 1000.
Unfortunately not sure on the engine the database runs on, however it should be some IBM-based product.
The WHERE clause will filter individual rows that don't match the condition before aggregating them.
If you want to do post aggregation filtering you need to use the HAVING Clause.
HAVING will apply the filter to the results after being grouped.
select ID, sum(amount)
from table1
group by ID
having sum(amount) > 1000
I'm to a query multiple times from a single query in BIRT. For example, my DB2 query could be SELECT * FROM GROUPS and my dataset would look like
id | name
1 | group 1
2 | group 2
From that dataset I'd like to run another query for each row. So maybe something like SELECT * FROM ORDERS WHERE group_id = params['id'] where id is id of the current GROUP record.
The actual report would look something like:
Order for Group 1
01/01/2015 Order #321
01/15/2015 Order #948
Orders for Group 2
01/02/2015 Order #123
01/23/2015 Order #456
I'm fairly new to BIRT and have seen examples of using scripts on certain events (beforeOpen, etc), but I wanted to make sure that was the proper way to go for something this rudimentary.
Grouping on Groups in my example and OP's question, read carefully.
From what I understand of your requirements probably the easiest way to get what you want it to group on the table.
Put your fields in the data set and on the table then 'group by' elements of the table.
The report below is grouped by date and UPMC_Assign, then I count the number of INCIDENT_ID (ticket owner is criteria that is not displayed)
Create your 'Data Set', drop the Data Set on the Layout, a table is auto created.
Add a 'Group' (red circle lower part of second image), in my case I grouped by Date then by Group, in your case you would group by your 'Group'
I added an aggregation from the Palette to get counts. You can delete anything from the table you don't want. In my case i started out with a line for every ticket, but I deleted the entire row, and just show the groups and counts.
See my answer here for suggestions on versioning reports during development.
tell some big, diff between order by and group by,
like sort columns data=>order by
group it by similar data used for aggregation , order by could be used inside the grouped items ,
please Tell 5 diff
The order by clause is used to order your data set. For example,
select *
from customers
order by customer_id asc
will give you a list of customers in order of customer id from lowest to highest.
The group by clause is used to aggregate your data. For example,
select customer_id, sum(sale_price), max(sale_price)
from customers
group by customer_id
order by customer_id asc
will give you each customer along with their total sales and maximum sale, again ordered by customer id.
In other words, grouping allows you to combine multiple rows from the database into a single output row, based on some criteria, and select functions of those fields not involved in the grouping (minimum, maximum, total, average and so on).
group by groups data by one or more columns, and order by orders the data by one or more columns? i don't really get the question?
using group by is similar to select distinct in the aspect that only unique values for the given values will be returned. furthermore you can use aggregate functions to calculate e.g. the sum for each group.
what do you want to hear? tell me five differences between apples and oranges?