How to bring duplicate rows based on given condition
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I have a table as follows
create table t ( invoice_no int, serial_no text, price decimal(10,2)); insert into t values (1001, 'XYZ123', 20), (1002, 'XYZ123', 20), (1003, 'XYZ456', 24), (1004, 'XYZ456', 24), (1005, 'ABC109', 15), (1006, 'BGF108', 15), (1006, 'ABC107', 10), (1006, 'ABC104', 10);
An invoice can have multiple serial numbers. (i.e. A bill with multiple products on it)
I need to find the invoices where serial numbers appear in more than one invoice. Then I need to find out those invoices and serial numbers. Otherwise I need the query to return zero records.
You can use
SELECT t.* FROM table t WHERE EXISTS (SELECT 1 FROM table t1 WHERE t1.serial_no = t.serial_no AND t1.Invoice_no <> t.Invoice_no);
Checking Duplicate rows depending on the condition, Hello Everyone, Can someone please help me to understand how we can remove the duplicate values depending on the 2 columns in Data� Extract all rows from a range that meet criteria in one column [Filter] The image above shows filtered records based on two conditions, values in column D are larger or equal to 4 or smaller or equal to 6. Here is how to apply Filter arrows to a dataset. Select any cell within the dataset range. Go to tab "Data" on the ribbon. Click "Filter
You can try this
select serial_no from tablename group by serial_no having count(*)>1
Need to add duplicate rows based on a few conditio, Hello Team, I have an ask to map certain values in rows to values across in 4 different columns based a few conditions. Based on the column� The article shows a few different ways to get the max value in Excel based on one or several conditions that you specify. In our previous tutorial, we looked at the common uses of the MAX function which is designed to return the largest number in a dataset.
if same serial numbers are appeared in multiple invoices then i need to find out those invoices and serial numbers.
You can do this with
group by and
select serial_no, array_agg(invoice_no) from t group by serial_no having count(*) >= 2;
If you want the actual rows, then you can use
exists (as suggested by Yogesh).
Highlighting duplicate data based on two conditions — Smartsheet , Highlighting duplicate data based on two conditions I have this fear for formulas because i never get them right. Just when I was giving up, I just changed the cell back to checkbox; saw no error message; entered a duplicate row. And this The formula should have flagged both rows based on the logic. Filter Rows based on Value/Condition and Then Delete it. One of the fastest ways to delete rows that contain a specific value or fulfill a given condition is to filter these. Once you have the filtered data, you can delete all these rows (while the remaining rows remain intact).
To find duplicate serial numbers, use
select serial_no from t group by serial_no having count(*) >= 2
and to get the invoices with corresponding serial numbers
select invoice_no, serial_no from t where serial_no in (select serial_no from t group by serial_no having count(*) >= 2);
How to remove duplicate data from python dataframe, Not all data are perfect and we really need to get duplicate data removed from and the other time you want to delete duplicates based on some random condition. Drop Duplicates from a specific Column and Keep last row. For example, you want to extract a product name list based on Jan month. You can use an Excel array formula based on the INDEX function, the MATCH function, the IF function, and the COUNTIF function to achieve the result. Here is the formula that it will extract the unique distinct product name list based on month value:
STRING_AGG() analytic function
select serial_no, STRING_AGG(invoice_no) from t group by serial_no having count(*) >1;
Find and Remove Duplicates in Excel, This can be done easily using conditional formatting to highlight values that get it from a colleague, or collate it yourself, duplicates data can always creep in. So I am needing some help with Vlookup. Have a table with the following headers (group assignmen, Name, home town, gender, and comments). I am trying to input a value of the group and have it list everyone that is in the group along with the respective data such as the name, home town, gender, and comments associated with row.
How to duplicate rows based on cell value in a column?, i am creating a spreadsheet using the formula provided but im having errors. please can someone let me know what my formula should be? my table is from A-Y� Duplicate rows multiple times based on cell values with VBA code. To copy and duplicate the entire rows multiple times based on the cell values, the following VBA code may help you, please do as this: 1. Hold down the ALT + F11 keys to open the Microsoft Visual Basic for Applications window. 2.
Solved: Duplicate Rows Based On Cell Value In different C , Based on that value I want to duplicate the rows with has the value duplicate in the After get the column contain list, we expand it to the new rows Condition 1 = IF ( [Case_To_Compare] = "No-Case-To-Compare", BLANK (), VAR Guided learning � Documentation � Support � Community � Give feedback� The Excel INDEX function returns the value at a given position in a range or array. You can use INDEX to retrieve individual values or entire rows and columns. INDEX is often used with the MATCH function, where MATCH locates and feeds a position to
Solved: Is there a way to conditionally delete duplicates based on , In the aggregation, you select Row number in the top "compute rank" part; In the post-filter, you add a filter to Keep only the rows that satisfies the condition rownumber == 1 I'll give this a try later today dataiku.com/howto/getting- started/dss-concepts/universes-and-concepts.html ) (e.g. to build a model, make charts, etc.)� The find duplicate values in on one column of a table, you use follow these steps: First, use the GROUP BY clause to group all rows by the target column, which is the column that you want to check duplicate. Then, use the COUNT() function in the HAVING clause to check if any group have more than 1 element. These groups are duplicate.