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There are 2 types of folding methods used fold shift and fold boundary Use table.buffer to cache intermediate query results and avoid query folding when deleting duplicates. Fold shift you divide the key in parts whose size matches the size of required address
The parts are simply added to get the required address Without query folding, power bi will pull the entire dataset into its memory before applying any filters or transformations. Key:123456789 and size of required address is 3 digits
To reduce the size to 3, either 1 or 8 is removed and accordingly the key would be 368 or 136.
As a rookie in power bi, power query and dax i am stuck on how to make up a unique relationship between two tables when only left part of my key is known The first table is a result unique values of It has these features and many more 0 in power bi desktop, i pulled some columns off a sql server table in import mode
During transformation, there are 2 columns using which i want to build a third computed column Something like isnull(col1,col2) as 'col3' if i had to write it in sql But problem is that query folding is lost at this step. Folding/unfolding table with html/javascript asked 15 years, 4 months ago modified 11 years, 11 months ago viewed 15k times
Create table table_name ( id integer, name varchar(255) ) the problem is the quotations are part of the name now!
In my case i do not create the tables manually, another application creates the table and the names are in capital letters This cause problems when i want to use cql filters via geoserver. You can try to separately retrieve all revisions of the work item into a table, and finally merge two tables Refer to this blog creating a revision history in powerbi from azure devops data for the details.
Table.distinct (table.stopfolding (#sorted rows), {duplicatecolumn}) and not table.stopqueryfolding as this won't be recognised although microsoft documentation refers to this functionality as stop query folding. Query folding is not an absolute requirement for incremental refresh It is certainly preferred but incremental refresh will also work with data sources that do not support folding
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