New Features and Improvements
AtScale contains the following new features and improvements.
I2024.2.2
Query Planning Optimization
AtScale now optimizes the planning stage for queries on complex calculated measures involving large numbers of CASE statements, resulting in faster processing times. For information on how the optimization works, see Optimizing Queries for Calculated Measures.
ATSCALE-21342, ATSCALE-21002
I2024.2.1
Aggregation functions for calculated measures
You can now set the specific aggregation function to use for a
calculated measure when it is referenced by the Aggregate
MDX
function. This enables you to more easily reference calculated measures
from calculation groups.
To support this functionality, the dialog boxes for creating and editing calculated measures now contain an MDX Aggregation Function field, where you can select the aggregation function to use.
Note: AtScale recommends setting MDX Aggregation Function to a value other than None for calculated measures that are referenced via calculation groups.
For more information on the new field, see Add Calculated
Measures.
For more information on the Aggregate
MDX function, see
Aggregate.
ATSCALE-20582
New MDX Functions
AtScale now supports the following MDX functions: NULLEXCEPT
,
ALLMEMBEREXCEPT
, ALLMEMBER
. These enable you to control how
sensitive your server-side calculations are to the inbound query context
(i.e., the dimensions used in a query's grouping and filtering
directives).
For more information on the new functions, see MDX Reference.
ATSCALE-19554
Tableau with PostgresSQL
You can now connect to Tableau using the PostgresSQL JDBC driver. For instructions on configuring this, see Installing PostgresSQL JDBC Drivers.
ATSCALE-20346
Tableau: Improved tooltip performance
AtScale now more efficiently supports MIN/MAX queries on dimension attributes, providing improved performance for tooltips in Tableau reports.
ATSCALE-20241
Distinct Count Estimate Aggregates with Databricks SQL
AtScale can now create aggregates using the distinct count estimate function when connected to a Databricks SQL data warehouse.
ATSCALE-10988
New DAX Function
AtScale now supports the UTCNOW DAX function. For more information on using DAX Tabular with AtScale, see Using DAX Tabular.
ATSCALE-19848
Microsoft Excel: Improved Performance for Multi-Dimensional Result Set Assembly
AtScale now has improved performance for multi-dimensional result set assembly in Microsoft Excel, resulting in faster processing times.
Previously, result set assembly in Excel took a long time for queries that returned high numbers of cells. This improvement results in a 75% reduction in processing time for queries in the range of 100 thousand cells, and a 90% reduction in time for queries in the range of 1 million cells.
ATSCALE-16696
Outbound query optimization for multi-fact models
AtScale is now optimized to reduce the size of outbound queries for multi-fact models that contain calculated measures that use CASE statements to check hierarchy members, and that emit 1-of-n measures from a single fact table.
ATSCALE-20234