An understanding of how to merge relations is important because:

When you import multiple tables, possibilities are you"ll perform some evaluation using data from all those tables. Relationships in between those tables are vital to accurately calculate results and also screen the correct information in your reports. Power BI Desktop provides producing those relationships basic. In fact, in many instances you won’t need to perform anything, the autodetect feature does it for you. However before, periodically you could need to create relationships yourself, or must make transforms to a connection. Either means, it’s crucial to understand relationships in Power BI Desktop and also just how to produce and edit them.

You watching: An understanding of how to merge relations is important because:

Autodetect during load

If you query two or more tables at the very same time, when the data is loaded, Power BI Deskpeak attempts to find and produce relationships for you. The partnership alternatives Cardinality, Cross filter direction, and Make this relationship active are immediately collection. Power BI Desktop looks at column names in the tables you"re querying to determine if tbelow are any potential relationships. If there are, those relationships are produced automatically. If Power BI Deskpeak can"t recognize with a high level of confidence there"s a complement, it doesn"t produce the connection. However before, you have the right to still use the Manage relationships dialog box to manually create or modify relationships.

Create a relationship with autodetect

On the Home tab, choose Manage Relationships > Autodetect.


Create a partnership manually

On the Home tab, pick Manage Relationships > New.

In the Create relationship dialog box, in the initially table drop-down list, select a table. Select the column you desire to usage in the connection.

In the second table drop-dvery own list, pick the various other table you desire in the partnership. Select the other column you desire to use, and then elect OK.


By default, Power BI Deskpeak automatically connumbers the options Cardinality (direction), Cross filter direction, and also Make this relationship active for your brand-new relationship. However, you can change these settings if crucial. For more information, view Understanding added choices.

If namong the tables selected for the partnership has distinctive values, you"ll view the following error: One of the columns should have distinctive values. At least one table in a relationship must have a distinctive, distinct list of essential values, which is a prevalent need for all relational database modern technologies.

If you enrespond to that error, there are a pair methods to settle the issue:

Use Rerelocate Duplicates to produce a column with distinctive values. The drawback to this strategy is that you might lose indevelopment once duplicate rows are removed; often a vital (row) is duplicated for excellent factor.Add an intermediary table made of the list of unique essential values to the model, which will then be linked to both original columns in the relationship.

For more information, check out this blog post.

Edit a relationship

On the Home tab, pick Manage Relationships.

In the Manage relationships dialog box, choose the connection, then choose Edit.

Configure additional options

When you produce or edit a relationship, you can connumber additional choices. By default, Power BI Deskheight instantly connumbers additional options based on its ideal guess, which can be different for each connection based on the data in the columns.

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The Cardinality alternative deserve to have one of the adhering to settings:

Many kind of to one (*:1): A many-to-one partnership is the many prevalent, default kind of realtionship. It implies the column in a given table can have actually even more than one circumstances of a value, and the various other associated table, regularly know as the lookup table, has only one circumstances of a value.

One to one (1:1): In a one-to-one relationship, the column in one table has only one circumstances of a certain worth, and the other associated table has only one instance of a certain worth.

One to many kind of (1:*): In a one-to-many partnership, the column in one table has just one circumstances of a certain value, and also the other associated table can have even more than one circumstances of a worth.

Many to many kind of (*:*): With composite models, you deserve to develop a many-to-many relationship in between tables, which gets rid of demands for distinct worths in tables. It additionally removes previous workarounds, such as introducing new tables only to develop relationships. For even more information, see Relationships via a many-many kind of cardinality.

For even more indevelopment about as soon as to readjust cardinality, see Understanding additional options.

Cross filter direction

The Cross filter direction choice have the right to have actually one the following settings:

Both: For filtering purposes, both tables are treated as if they"re a single table. The Both setting functions well through a solitary table that has a variety of lookup tables that surround it. An instance is a sales actuals table with a lookup table for its department. This configuration is often called a star schema configuration (a main table with several lookup tables). However, if you have two or even more tables that likewise have lookup tables (through some in common) then you wouldn"t desire to usage the Both setting. To proceed the previous instance, in this situation, you likewise have actually a budobtain sales table that records taracquire budacquire for each department. And, the department table is associated to both the sales and the budacquire table. Avoid the Both establishing for this type of configuration.

Single: The many widespread, default direction, which means filtering choices in associated tables work on the table wbelow values are being aggregated. If you import a Power Pivot in Excel 2013 or previously data version, all relationships will have a single direction.

For even more indevelopment about once to readjust cross filter direction, see Understanding additional alternatives.

Make this relationship active

When checked, the partnership serves as the energetic, default relationship. In cases where tright here is even more than one partnership in between two tables, the energetic connection provides a means for Power BI Deskoptimal to automatically produce visualizations that include both tables.

For more information about once to make a certain connection energetic, view Understanding extra choices.

Understanding relationships

Once you"ve connected two tables in addition to a connection, you have the right to occupational with the information in both tables as if they were a single table, freeing you from having to issue about relationship details, or flattening those tables right into a single table before importing them. In many cases, Power BI Desktop have the right to automatically develop relationships for you. However, if Power BI Desktop can’t determine with a high-level of certainty that a relationship in between two tables should exist, it does not instantly produce the connection. In that instance, you must execute so.

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Let’s go with a quick tutorial, to better present you exactly how relationships occupational in Power BI Deskheight.