The problem in this case was that I was trying to replace an existing column also named 'Date Offset' - this was not a calculated column, but taken from the source table.
Resolution was to do the deployment in 2 phases, first remove the old column, then deploy again to add the new calculated column.
from the comments by Denis Rubashkin
Try to use "Run as administrator" when running SSMS, it solved the
same problem for me
and that worked for me too.
to run ssms as and administrator press the shift and right click on the ssms icon and that will give the options below:
The SSAS permissions are completely independent from SQL Server permissions.
If you don't have permissions, there is one hope:
By default, members of the local Administrators group are also granted
administrative rights in Analysis Server. Although the local group is
not explicitly granted membership in the Analysis Services server
In my opinion, yes - it is still a technology that is completely valid. Even more so if we are discussing Tabular rather than Multi-Dimensional SSAS implementations. For example, VertiPaq (the database engine that runs Tabular Models) is the same engine that can be found in PowerBI and any skills you learn using SSAS/TOM/DAX will help you if you ever decide ...
I don't have your SSAS database so I can't test the syntax, but I believe you would need to write your MDX as follows (notice the THIS= addition):
THIS = SUM([Data Source].[Interpolation Method].&,[Measures].[Total]);
See the documentation for syntax details.
It sounds like you are trying to process your tabular model (which is of version >= 1200) with XMLA script (so all in all command is in XML). That kind of tabular model has to be processed with JSON command. I had the same error message and it just turned out that I was trying to refresh the newer tabular model (of version >=1200) with XMLA command. After ...
I contacted Chris Webb (SQL Server MVP) about this, who got back to me.
The answer is: the premise of the question was wrong. Default processing does not detect changes in the relational source.
In fact, if you have done a full process on your cube, and the data changes in the relational source, Default process will not load the new data into the MOLAP ...
Typically only the role definitions are part of the project. The role memberships are different by environment (dev,test,prod), are usually not administered by the model developers, and so are maintained separately. Then only row-level security is driven from a table in the model.
The SQL query can be converted to a stored procedure and then executed as the source SQL statement for the SSAS dimension/fact tables. As with a typical stored procedure, you can then use temp tables without any problems. A stored procedure can be called from SSAS by using an EXEC statement with the result set then used in the same manner as one from a ...
The target is where the event data is stored. For example, to write the data to a file use the event_file target type. To create an extended event and overcome the error on the Data Storage page you're seeing, a target will need to be selected. There's a wide range of events and exactly what activities you want to track will determine what events you'll ...
If a column name has brackets, you need to escape them. You can see how if you use function QUOTENAME().
SELECT QUOTENAME('[awful column name]')
-- Result: [[awful column name]]]
Note the extra closing brackets. You should try adding an extra pair of enclosing brackets together with an additional closing one for your column names that include brackets.
Thanks to @GregGalloway to set me to right track.
I ended up with following schema:
1) I've added new mapping table [DateMap] that materialize mapping between UTC datetime (in those weird quarter-hours) to local time zone (again in quarter-hours)
CREATE TABLE [dbo].[DateMap] (
-- time zone code (set as context info for given user)
I think we solved this or at least found a workaround.
I believe the problem is a timeout when connecting to SSAS when it has been inactive for some time. It has nothing to do with the actual processing of the cube.
We added a step to our ETL process which queried the OLAP cube before the processing step was triggered. This causes SSAS to 'wake up' ...
Some measures, even though they are numeric, makes no sense as SUM.
Temp, Datekey (could be numeric) and others.
The solution is to mark this measure as non-aggregate in the measure tab. This way it won't be aggregated.