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I'm working with Mondrian on a columnar DB, means I have a big flat fully denormalized fact table that contains all facts and dimensions. Unfortunately, I am not able to use a aggregate table. When I collapse all dimensions in the aggregate table, Mondrian successfully recognizes the aggregate table. But when I keep e. g. the time dimension, Mondrian does not:
14:06:14,859 WARN [AggTableManager] Recognizer.checkUnusedColumns: Candidate aggregate table 'agg_days_flattened' for fact table 'flattened' has a column 'dayofMonth' with unknown usage.
14:06:14,860 WARN [AggTableManager] Recognizer.checkUnusedColumns: Candidate aggregate table 'agg_days_flattened' for fact table 'flattened' has a column 'month' with unknown usage.
14:06:14,860 WARN [AggTableManager] Recognizer.checkUnusedColumns: Candidate aggregate table 'agg_days_flattened' for fact table 'flattened' has a column 'year' with unknown usage.
Furthermore, the aggregate table is not used when I perform a corresponding MDX query. When I model the same cube with a classical star schema, everything works fine.
For me, it looks like Mondrian neads "true" foreignkey/primarykey mappings to work with agggregate tables, which do not apply to my szenario (big flat fully denormalized fact table).
Does anyone have an idea?
The text was updated successfully, but these errors were encountered:
I'm working with Mondrian on a columnar DB, means I have a big flat fully denormalized fact table that contains all facts and dimensions. Unfortunately, I am not able to use a aggregate table. When I collapse all dimensions in the aggregate table, Mondrian successfully recognizes the aggregate table. But when I keep e. g. the time dimension, Mondrian does not:
Furthermore, the aggregate table is not used when I perform a corresponding MDX query. When I model the same cube with a classical star schema, everything works fine.
For me, it looks like Mondrian neads "true" foreignkey/primarykey mappings to work with agggregate tables, which do not apply to my szenario (big flat fully denormalized fact table).
Does anyone have an idea?
The text was updated successfully, but these errors were encountered: