An INNER JOIN for a one-to-many relationship. If you have duplicated rows because you’re assuming a one-to-one relationship when you actually have tables that are one-to-many or many-to-many, you can remove the duplicates using: | | A is one-to-one with B | A is one-to-many with B | A is many-to-many with B | This table summarizes how join types interact with table relationships to produce duplicates when matching rows are found. Common reasons for unexpected query results. If you’ve written your joins assuming a one-to-one relationship for tables that actually have a one-to-many or many-to-many relationship, you’ll get duplicated rows for each match in the “many” table. It can be difficult to detect if you have tables with a lot of columns, so be sure to run through Step 2 above or ask your database admin if you’re unsure. State tables may have rows that look exactly the same, except for the timestamp of the row. This is common with tables that track state changes (e.g., an order status table that adds a row every time the status changes). Some tables have rows that look like duplicates at a glance. Rows can get duplicated by accident when data gets refreshed in upstream systems or ETL jobs. The result I want is as default the list will show today data, but when I select another date from date filter it will show the data list from selected date. I want to show list data baseon datetime. Change your join type or reduce your table relationships. I have some issue with my query when I run it in Metabase. Check your table below to see how your join type interacts with your table relationships. Its slightly better if you do something like linked databases in MS SQL (it can be done in others too), but that just reduces the traffic back to the BI tool. You would need to setup a warehouse in SQL Server, BigQuery, Athena or any other supported database that supports that. SELECT, COUNT ( * ) AS row_count FROM GROUP BY ORDER BY row_count DESC No, Metabase does not support queries across databases. 
Note: In our customers case, the integration really requires certain programming work.
Trino translate SQL to the query language that the data source can understand. In this design: Metabase handles the dashboard part of work. If the row_count is greater than 1, - you have duplicated rows in your results. Metabase -> Presto SQL/Trino-> the data source that does not support SQL.
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