Pivoting or producing a "cross-tab" is a common reporting requirement - data is stored in columns and you need to present it in rows. This was a nice feature that was added to SQL Server, but you don't always know all of the values you need to pivot on.
In this tip we look at how you can dynamically create the pivot command to handle these unknown values. Solution In these cases it may make sense to construct a dynamic pivot. Let's assume the following simple schema:. A query to obtain each product's total quantity ordered would look something like this ignoring details about order date, etc. And we certainly don't want to have to go back and edit these queries every time we add a product never mind when a product's name is changed.
So consider some new data:. Enter dynamic SQL. Typically frowned upon, this is one of the scenarios where you are likely to make a strong case for its use. Post a comment or let the author know this tip helped. All comments are reviewed, so stay on subject or we may delete your comment. Note: your email address is not published.
Signup for our newsletter. I have read the privacy statement and understand I may unsubscribe at any time. Great sp! I had some trouble understanding what the input parameters meant. I changed them to make them in-your-face-obvious.
This might help make the proc more approachable:. Thank you Aaron, you did not only helped me with dynamic PIVOT but also teached me on how to build a query and then running it.
I'm generating a report with totals and the amount of months varies from processed file to processed file.There are several ways to transpose a dataset from rows to columns and columns to rows.
SQL Pivot is one of the techniques that allows transposing of rows to columns and performs possible aggregations along the way. SQL PIVOT transposes a table-valued expression from a unique set of values from one column into multiple columns in the output and performs aggregations.
In most cases, the static pivoting technique suffices the business requirement. For example, the monthly sales forecast, yearly sales split, quarterly sales aggregation, etc, where the IN clause columns remain static. In some other instances, we need granular details and the table-value expression is more dynamic in nature and all the time new set of the expression are included in the table then dynamic PIVOT would be the best choice. And the process of turning columns into rows is known as an un-pivoting.
In this case, you just got a simple dataset with SalesYear column along the one quantitative value TotalSales. Now, the dataset is ready for pivoting.
If you asked to transpose the data, you have to take every distinct year in the column and these columns become the header of the pivot columns. So, becomes the first column, becomes its own column and so on.Diy race timer
The actual values from the next column Totalsales, they stick with the pivot column headers. Now, the pivoting table would look like below. And un-pivoting is like rotating from horizontal to vertical. In the following example, the pivoted dataset is used to un-pivot the values. The key piece here is this was easy to do in getting transformed because we were able to create a pivot table as an intermediate step and then do the transformation using the unpivot operation.
Note: SQL pivot operation results in transposing the aggregated result into column but whereas SQL unpivot is not an exact reversal of transposing columns into the segregated values of rows. The unpivot operator will not split the aggregated results. Before we jump into the solution, it is always recommended to work on creating a dataset for the PIVOT operation. Let us take a look into another example to see sales split data based on every month. Let us address the monthly split of sales data using dynamic pivoting.
So far, we discussed static pivot operations. First, get the distinct expression from the dataset and then prepare a string by concatenating all the expressions.
In the following example, the columnname is used to concatenate all the expression. The concatenated expression is fed to pivot IN clause.SQL Dynamic Pivot Example Adventure Works
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I have a table in SQL Server that is horrid design, but am in need of a way to display ONE row per username with a breakdown of each item and qantity of that item the person sold. This is sample DDL.
I thought a pivot might be an option, but I can not wrap my mind around how to achieve such with a variable number of items. My actual production table has over 4K rows in it! So could potentially be listing out 50 to 60 items just depending. So, the first step is to get a version of the table where instead of:.
Once the data is in that form, then the pivot statement has to be built. Since you don't know precisely how many "Item xxx " and "Qty xxx " columns, you'll need to do this dynamically, based on the values in the intermediate table show above. Based on your example data, you want to have a blank in each column beyond the number of items sold by the current user. To do that, you need to check each value to see if it's NULL, and replace it with an empty string.
Therefore, we need to create two lists of the columns to return: one that performs the check for NULL values, and one that's a simple list of the column names needed for the PIVOT table. I've assumed that you want each item sold listed once and only once for each username; if one added another row to your sample data, 'jj11','chair',3then the Qty1 for jj11 would be 5, not 2.
If there should be two separate entries in this case, you'll need to modify the numbered CTE expression so it no longer aggregates that data. Your data and output happens to list the items in alphabetical order. FYI - there are a number of posts on SE covering dynamic SQL to do pivots - it's basically required if you don't know the precise columns ahead of time.
I referred to this answer from stackoverflow. Sign up to join this community. The best answers are voted up and rise to the top. Home Questions Tags Users Unanswered. Asked 2 years, 5 months ago. Active 2 years, 4 months ago. Viewed 2k times. This is sample DDL Declare Test Table username varchar 10itemsold varcharamtsold integer Insert Into Test username, itemsold, amtsold Values 'jj11', 'chair', 2'jj11', 'doghouse', 3'jj11', 'reindeer', 14'ar44', 'bat', 1'ar44', 'cap', 4 And this is how I want my data output UserName Item1 Qty1 Item2 Qty2 Item3 Qty3 jj11 chair 2 doghouse 3 reindeer 14 ar44 bat 1 cap 4 I thought a pivot might be an option, but I can not wrap my mind around how to achieve such with a variable number of items.PIVOT rotates a table-valued expression by turning the unique values from one column in the expression into multiple columns in the output and performs aggregations where they are required on any remaining column values that are wanted in the final output.
We have decided to build a dynamic database by creating only three tables as shown below. The available data. In this section, we will get a list of "Field Values" that should be shown as Rows by doing the following, Create a table "dataquery" that will hold the field values data. Output Get a list of the "Fields" Columns.
Output Applies To. View All. Scenario We have decided to build a dynamic database by creating only three tables as shown below.
The available data The desired data should look like Steps Get a list of the "Field Values" Rows In this section, we will get a list of "Field Values" that should be shown as Rows by doing the following, Create a table "dataquery" that will hold the field values data.
The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I'm not able to use a case to count quantities for each currency denomination because they are configurable, if a new denomination is added, the query should be modified.
There are two ways to do this, either with a Static Pivot or a Dynamic Pivot.Technics 1210
Learn more. Asked 7 years, 8 months ago. Active 6 years, 11 months ago. Viewed 37k times. How can I get the info that way? RichardTheKiwi Alex Alex 1 1 gold badge 1 1 silver badge 6 6 bronze badges. The question has been placed a few more times on SO.Lely parts
You can find a similar problem here stackoverflow. Active Oldest Votes. Alex happy to help, I didn't see that typo when I initially posted. AndriyM, I disagree. I've updated my answer to include what I'd do for a dynamic query, and I find it much cleaner and easier to understand than the equivalent PIVOT answer. However, at the end of the day, both work! That's not fair, you've made it look easy!
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PIVOT with dynamic number of columns and rows
And PIVOT runs aggregations where they're required on any remaining column values that are wanted in the final output. CASE statements. The following code displays the same result, pivoted so that the DaysToManufacture values become the column headings. A column is provided for three  days, even though the results are NULL. A common scenario where PIVOT can be useful is when you want to generate cross-tabulation reports to give a summary of the data.
For example, suppose you want to query the PurchaseOrderHeader table in the AdventureWorks sample database to determine the number of purchase orders placed by certain employees.
Pivoting and Unpivoting Multiple Columns in MS SQL Server
The following query provides this report, ordered by vendor. The results returned by this subselect statement are pivoted on the EmployeeID column. The unique values returned by the EmployeeID column become fields in the final result set. As such, there's a column for each EmployeeID number specified in the pivot clause: in this case employees, and The PurchaseOrderID column serves as the value column, against which the columns returned in the final output, which are called the grouping columns, are grouped.
Notice that a warning message appears that indicates that any null values appearing in the PurchaseOrderID column weren't considered when computing the COUNT for each employee. When aggregate functions are used with PIVOTthe presence of any null values in the value column are not considered when computing an aggregation. Suppose the table produced in the previous example is stored in the database as pvtand you want to rotate the column identifiers Emp1Emp2Emp3Emp4and Emp5 into row values that correspond to a particular vendor.
As such, you must identify two additional columns. The column that will contain the column values that you're rotating Emp1Emp2Here is the query. PIVOT carries out an aggregation and merges possible multiple rows into a single row in the output. When the values disappear, it shows that there may have been original null values in the input before the PIVOT operation. The Sales. Right-click the view name, and then select Script View as.
You may also leave feedback directly on GitHub. Skip to main content.One of the primary functions of a Business Intelligence team is to enable business users with an understanding of data created and stored by business systems. Understanding the data should give business users an insight into how the business is performing. A typical understanding of data within an insurance industry could relate to measuring the number of claims received vs successfully processed claims.
Such data could be stored in source system as per the layout in Table 1 :. Although each data entry in Table 1 has a unique RecKey identifier, it all still relates to a single policy claim policy Pol Thus, a correct representation of this data ought to be in a single row that contains a single instance of policy Pol as shown in Table 2 :.
The objective of this article is to demonstrate different SQL Server T-SQL options that could be utilised in order to transpose repeating rows of data into a single row with repeating columns as depicted in Table 2.
Some of the T-SQL options that will be demonstrated will use very few lines of code to successfully transpose Table 1 into Table 2 but may not necessary be optimal in terms query execution. Script 1 shows how a Pivot function can be utilised. The results of executing Script 1 are shown in Figure 1as it can be seen, the output is exactly similar to that of Table 2.
Furthermore, as we add more policy numbers in our dataset i. Polwe are able to automatically retrieve them without making any changes to Script 1. This is because the Pivot function works with only a predefined list of possible fields.
However, imagine if business later decides to add more documents that are required to process a claim? It would mean that you need to update your Pivot script and manually add those fields. Thus, although transposing rows using Pivot operator may seem simple, it may later be difficult to maintain. The actual estimated plan depicted in Figure 4indicates that only a single scan was made against the base table with a majority of the cost at Although the general consensus in the professional community is to stay away from SQL Server Cursors, there are still instances whereby the use of cursors is recommended.
I suppose if they were totally useless, Microsoft would have deprecated their usage long ago, right? Anyway, Cursors present us with another option to transpose rows into columns.
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