I've come across a video on youtube that describes How to Easily Map Your Database Schema in Power BI using the AdventureWorks database from Microsoft. Now I'm trying to replicate that example using another database. The problem is that many of my columns have got similar content, but different column names with prefixes such as pk_
or fk_
depending on which tables they are located in. And that causes the following query to fail:
SELECT
c.TABLE_NAME
,c.COLUMN_NAME
FROM INFORMATION_SCHEMA.COLUMNS c
INNER JOIN
(SELECT
COLUMN_NAME
FROM INFORMATION_SCHEMA.COLUMNS
GROUP BY COLUMN_NAME
HAVING COUNT(*) > 1
) dupes
ON dupes.COLUMN_NAME = c.COLUMN_NAME
Does anyone know if it's possible to fuzzy match column names or taking different prefixes into account to make this work? The very same question has been asked directly to the youtube OP. It can also be found on reddit.com, but the question remains unanswered.
I'm trying to wrap my head around some more advanced Power BI features and at the same time learn some much needed SQL, and I thought this would be a cool place to start, so any help is much appreciated!
The values in the schema columns may be useful in slicers if you would like the ability to show/hide groups of tables if you have a large and complex model. Now the data is in Power BI, visuals that support a “From/To” dataset can be used to visualise, filter and sort the data.
The Shape map visual is only available in Power BI Desktop and not in Power BI service or mobile. Since it is in preview, it must be enabled before you can use it. To enable Shape map, select File > Options and Settings > Options > Preview Features, then select the Shape map visual checkbox.
To get started, click the Get Data button on the ribbon in your instance of Power BI Desktop and choose SQL Server as your data source. Enter the Server and Database in the appropriate fields. Expand the Advanced option in this dialog and enter the following SQL Query.
You need to choose your required data source or your required data file to work on with Power BI Mapping. Follow the below steps to load an Excel file: Open your Power BI platform and navigate to Home → Get Data → Excel as shown below. From the pop-up window, choose your desired file source and click on Open.
If you want to show relationships between tables then using common column names between two tables is not best idea.
For example:
CREATE TABLE tab(id INT PRIMARY KEY, name INT);
CREATE TABLE tab2(id2 INT PRIMARY KEY, name INT);
-- completely unrelated tables
SELECT
c.TABLE_NAME
,c.COLUMN_NAME
FROM INFORMATION_SCHEMA.COLUMNS c
INNER JOIN
(SELECT
COLUMN_NAME
FROM INFORMATION_SCHEMA.COLUMNS
GROUP BY COLUMN_NAME
HAVING COUNT(*) > 1
) dupes
ON dupes.COLUMN_NAME = c.COLUMN_NAME
+-------------+-------------+
| TABLE_NAME | COLUMN_NAME |
+-------------+-------------+
| tab | name |
| tab2 | name |
+-------------+-------------+
db<>fiddle demo
I would propose to use proper metadata views i.e. sys.foreign_key_columns:
SELECT [table] = tab1.name,
[column] = col1.name,
[referenced_table] = tab2.name,
[referenced_column] = col2.name
FROM sys.foreign_key_columns fkc
JOIN sys.objects obj ON obj.object_id = fkc.constraint_object_id
JOIN sys.tables tab1 ON tab1.object_id = fkc.parent_object_id
JOIN sys.schemas sch ON tab1.schema_id = sch.schema_id
JOIN sys.columns col1 ON col1.column_id = parent_column_id
AND col1.object_id = tab1.object_id
JOIN sys.tables tab2 ON tab2.object_id = fkc.referenced_object_id
JOIN sys.columns col2 ON col2.column_id = referenced_column_id
AND col2.object_id = tab2.object_id;
db<>fiddle demo2
Then you need to choose appropriate visualisation method in PowerBI.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With