If data changes, there's no guarantee of consistency between visuals. The common workaround is to concatenate the columns by using a calculated column, and base the join on that column. DirectQuery-enabled sources are primarily sources that can deliver good interactive query performance. You can import data to Power BI, which is the most common way to get data. Multiple DAX queries can run in parallel, so events from different groups can interleave. The dashboard tiles can also be updated more frequently, as often as every 15 minutes. If an underlying data source is slow, using DirectQuery for that source remains unfeasible. Dataset settings Remember that you need gateway for any datasource which is located on-premises and Imported. The way to do this is: Open a new Power BI Desktop Application. A filter can only touch a table once. This time, only metadata will be loaded into Power BI. Each step of building a visual sends a query. In the Power BI service, you can pin individual visuals or entire pages to dashboards as tiles. Connecting with DirectQuery can be useful in the following scenarios. There are three subqueries for the Web_Sales, Item, and Date_dim model tables. While DirectQuery is the simplest approach to large data, importing aggregate data might offer a solution if the underlying data source is too slow for DirectQuery. Median: Generally, any aggregation (Sum, Count Distinct, etc.) Those queries might result in indexes not being used. Limit parallel queries: You can set the maximum number of connections DirectQuery opens for each underlying data source. For information about troubleshooting gateway performance, see Troubleshoot gateways - Power BI. A lot of the problem has to due with, while the query by itself might fold, the additional dax queries on top of it might not. Or you are still confused about it, please provide me with more details about your table and your problem or share me with your pbix file from your Onedrive for Business. For multidimensional sources like SAP Business Warehouse (SAP BW), you select only the source. Online services like Salesforce and Dynamics 365. Performance issues or query failures can arise if the cardinality is large because of the one-million row limit. Keep individual sessions reasonably small, perhaps 10 seconds of actions, not hundreds. Depending on the location of the original data source, it might be necessary to configure an on-premises data gateway for the refresh. It can be helpful for them to understand the general data architecture, including any relevant limitations described in this article. For more information, see Use composite models in Power BI Desktop. Include a few more actions, to ensure that the events of interest flush into the trace file. You should also try to isolate issues to an individual visual before you look at many visuals on a page. One reason Power BI uses this pattern is so you can define a Power Query query to use a specific query statement. This table uses directquery and cannot be shown - PostgreSQL, wheather the current fixes make it into production, if they will help solve your issues, or when they will be released, I would have no idea. In several of these cases, leaving the data in its original source location is necessary or beneficial. Hide the one-side column of relationships: The one-side column of a relationship should be hidden. When a model contains tables with different storage modes, it is known as a Composite model. For example, the following graphic shows SalesAmount by Category, but only for categories with more than 20M of sales. That's the thing I'm not sure if I have used M expressions as I am not aware of the language. If no row-level security is defined in the model, each tile is refreshed once, and the results are shared across all users. Changes that provide more flexibility when using imported data let you import more often, and eliminate some of the drawbacks of using DirectQuery. Refreshing sends a new set of queries to the underlying source. Each visual requires at least one query to the underlying data source. For example, to retrieve to the sales orders that were created in the last year (relative to today's date). If the data is very large, it's not feasible to import all of it. For multidimensional sources like SAP BW, you can't switch from DirectQuery to import mode either, because of the different treatment of external measures. If your Add column operation is too complex to be handled by the connector it won't work. If tables or columns are removed from the underlying source, it might result in query failure upon refresh. Cross-filtering two tables in a DirectQuery source by filtering them with a table outside of the source is a bad design and is not supported. You must close and reopen the trace file to see new events. Creating a table in DirectQuery Mode The first thing is to ensure that my table is in DirectQuery mode is to follow the steps below. This approach is useful when many visuals are on a single page, or many users access a report at the same time. Queries defined in Power Query Editor must be valid within this context. This approach makes it easier to interpret the trace file. Any transformations must be applied on every query to the underlying source, rather than once on data refresh. For example, querying for Median Country/Region Population might be reasonable, but Median Sales Price might not be reasonable. Include a few more actions, to ensure that the events of interest are flushed into the trace file. Performance issues often depend on the performance level of the underlying data source. Databases like SQL Server, Access, and Amazon Redshift. You should import data into Power BI wherever possible. Only use this relationship feature when necessary, and it's usually the case when implementing a many-to-many relationship across a bridging table. However, I tried today running another query and adding a table called "Tasks" and when I wanted to change anything on that table in the query editor it would show me the following error: This is in directquery mode - Change to import mode to add the filters required, and on the Model's editor it doesn't show the table and shows""This table uses direct query and cannot be shown"". The Power BI Desktop\Traces folder opens. Renaming and hiding columns and measures. Creating the entire "payload" field as a column with type JSON is not the most efficient way to get just the "action" field, but this example is just to show the flexibility of read_json. After you download and install SQL Server Management Studio, open SQL Server Profiler. You can't use these statements in subqueries. You should use DirectQuery only for sources that can provide interactive query performance. You may need to restart Power BI Desktop for the change to take effect. To ensure that opening a dashboard is fast, the tiles automatically refresh on a schedule, for example every hour. Easily getting the correct aggregate data needed for a visual directly from the source requires sending queries per visual, as in DirectQuery. The following Power BI reporting capabilities can cause performance issues in DirectQuery-based reports: Measure filters: Visuals that use measures or aggregates of columns can contain filters in those measures. DirectQuery is a connectivity method in Power BI and SSAS where the modeler defines the model but doesn't import any data. The same is true for selecting a visual to cross-highlight other visuals, or changing a filter. Bear in mind that the whitepaper describes using DirectQuery in SQL Server Analysis Services. What are the benefits that the Hybrid table brings in this scenario? The value applies to all DirectQuery sources, and to any new DirectQuery sources added to the model. Limitations in calculated columns: Calculated columns can only be intra-row, that is they can refer only to values of other columns of the same table, without using any aggregate functions. DirectQuery is feasible only when the underlying data source can provide interactive query results in less than five seconds for a typical aggregate query, and can handle the generated query load. However, large data might also make the performance of queries against that underlying source too slow. With DirectQuery such table cannot be built, and as a result, the built-in hierarchy doesnt work in DirectQuery. Median: Any aggregation, such as Sum or Count Distinct, is pushed to the underlying source. The setting is enabled only when there's at least one DirectQuery source in the current report. Once the maximum number of connections is reached, further queries are queued until a connection becomes available. When you create a report that uses a DirectQuery connection, follow this guidance: Consider using query reduction options: Power BI provides report options to send fewer queries, and to disable certain interactions that cause a poor experience if the resulting queries take a long time to run. Totals on table visuals: By default, tables and matrices display totals and subtotals. Try to isolate any issues to one visual, rather than many visuals on a page. You don't always have to import full detailed data. For example, live connections always pass the identity of the user opening the report to the underlying SQL Server Analysis Services source. If you enable these options, we recommend that you do so when first creating the report. This use of subqueries doesn't affect performance for the data sources DirectQuery supports. For example, assume you have the following TPC-DS tables in SQL Server: Results in the following visual in Power BI: Refreshing that visual produces the SQL query in the following image. The query results in the following table: action count opened 189096 closed 174914 reopened 2080 As we can see, only a few pull requests have been reopened. At least initially, limit measures to simple aggregates. For example, if the user selects 10 products of interest, each new selection results in queries being sent to the source. The following screenshot highlights a group of events for a query. If your using another connector that supports folding (e.g. However, best optimization results are often achieved by applying optimizations to the source database. Navigate to or enter the path to the trace file for the current Power BI session, such as \AppData\Local\Microsoft\Power BI Desktop\AnalysisServicesWorkspaces\AnalysisServicesWorkspace2058279583\Data, and open FlightRecorderCurrent.trc. To avoid this, try adding the custom column in power query instead (the query editor) Don't use the relative data filtering in Power Query Editor. All DirectQuery data sources are supported from Power BI Desktop, and some sources are also available directly from within the Power BI service. You can switch a model from DirectQuery mode to import mode if you import all the necessary data. This approach causes two queries to be sent to the underlying source: This approach generally works well if there are hundreds or thousands of categories, as in this example. There's also a limit on the size of the trace file, so for long sessions, there's a chance of early events dropping.