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<p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";
color:#1F497D'>How many members are in each of your dimensions? Are there
values for each intersection? Mondrian has a couple of parameters you can
set to handle axes with high cardinality better, mondrian.native.nonempty.enable
and mondrian.native.crossjoin.enable. Turning them on will enable Mondrian
to evaluate the whole crossjoin with a single SQL. Caveat is the axis has
to have “non empty” specified. Hope that helps.<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";
color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";
color:#1F497D'>Kurt<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";
color:#1F497D'><o:p> </o:p></span></p>
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<p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span></b><span
style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'>
mondrian-bounces@pentaho.org [mailto:mondrian-bounces@pentaho.org] <b>On Behalf
Of </b>Venkatesh U<br>
<b>Sent:</b> Wednesday, October 20, 2010 7:07 AM<br>
<b>To:</b> mondrian@pentaho.org<br>
<b>Subject:</b> [Mondrian] Issue with Cross Join 10 dimensions<o:p></o:p></span></p>
</div>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal style='margin-bottom:12.0pt'>Hi ,<br>
<br>
What I observed generally is it takes very longer when i try to do a
crossjoin with more than 7 dimensions. I am trying to run the below query it
runs for a very longer time <br>
<br>
select {<br>
CrossJoin([Service].Members,CrossJoin([Product].Members,CrossJoin([Month].Members,CrossJoin([TOD].Members,CrossJoin([IO].Members,[ForeignNetwork].Members)))))<br>
} on rows,<br>
{[Measures].Members}<br>
on columns<br>
from [ServiceFactsByMonthWC]<br>
<br>
Below is the tail of log file where mondrian is spending lot of time. What is
it doing? Is there any way to optimize cross joins? . I am trying to use cross
join as an option to prepopulate the Cube with a single MDX query, so that the
subsequent executions will be faster, is there any better way to prepopulate
the Cube, please let me know if there are any,<br>
<br>
<br>
DEBUG http-8080-4 mondrian.rolap.FastBatchingCellReader -
FastBatchingCellReader:
bitkey=0x0000000000000000000000000000000000000000000000000001101011110000<br>
Service (4): "SERVICE_DIMENSION"."SERVICE_NAME"<br>
Product (5): "PRODUCT_DIMENSION"."PRODUCT_NAME"<br>
Year (6): "MONTH_DIMENSION"."CALENDER_YEAR"<br>
Quarter (7): "MONTH_DIMENSION"."CALENDER_QUARTER"<br>
Month (Key) (9):
"MONTH_DIMENSION"."CALENDER_MONTH_NUMBER_IN_YEAR"<br>
IO (11): "INCOMING_OUTGOING_DIMENSION"."DIRECTION"<br>
ForeignNetworkName (12):
"FOREIGN_NETWORK_DIMENSION"."FND_NAME"<br>
<br>
DEBUG http-8080-4 mondrian.rolap.FastBatchingCellReader -
FastBatchingCellReader:
bitkey=0x0000000000000000000000000000000000000000000000000000011011110000<br>
Service (4): "SERVICE_DIMENSION"."SERVICE_NAME"<br>
Product (5): "PRODUCT_DIMENSION"."PRODUCT_NAME"<br>
Year (6): "MONTH_DIMENSION"."CALENDER_YEAR"<br>
Quarter (7): "MONTH_DIMENSION"."CALENDER_QUARTER"<br>
Month (Key) (9): "MONTH_DIMENSION"."CALENDER_MONTH_NUMBER_IN_YEAR"<br>
TOD (10): "TIME_OF_DAY_DIMENSION"."TOD_NAME"<br>
<br>
DEBUG http-8080-4 mondrian.rolap.FastBatchingCellReader -
FastBatchingCellReader:
bitkey=0x0000000000000000000000000000000000000000000000000001011011110000<br>
Service (4): "SERVICE_DIMENSION"."SERVICE_NAME"<br>
Product (5): "PRODUCT_DIMENSION"."PRODUCT_NAME"<br>
Year (6): "MONTH_DIMENSION"."CALENDER_YEAR"<br>
Quarter (7): "MONTH_DIMENSION"."CALENDER_QUARTER"<br>
Month (Key) (9):
"MONTH_DIMENSION"."CALENDER_MONTH_NUMBER_IN_YEAR"<br>
TOD (10): "TIME_OF_DAY_DIMENSION"."TOD_NAME"<br>
ForeignNetworkName (12):
"FOREIGN_NETWORK_DIMENSION"."FND_NAME"<br>
<br>
DEBUG http-8080-4 mondrian.rolap.FastBatchingCellReader -
FastBatchingCellReader:
bitkey=0x0000000000000000000000000000000000000000000000000000111011110000<br>
Service (4): "SERVICE_DIMENSION"."SERVICE_NAME"<br>
Product (5): "PRODUCT_DIMENSION"."PRODUCT_NAME"<br>
Year (6): "MONTH_DIMENSION"."CALENDER_YEAR"<br>
Quarter (7): "MONTH_DIMENSION"."CALENDER_QUARTER"<br>
Month (Key) (9):
"MONTH_DIMENSION"."CALENDER_MONTH_NUMBER_IN_YEAR"<br>
TOD (10): "TIME_OF_DAY_DIMENSION"."TOD_NAME"<br>
IO (11): "INCOMING_OUTGOING_DIMENSION"."DIRECTION"<br>
<br>
DEBUG http-8080-4 mondrian.rolap.FastBatchingCellReader -
FastBatchingCellReader:
bitkey=0x0000000000000000000000000000000000000000000000000001111011110000<br>
Service (4): "SERVICE_DIMENSION"."SERVICE_NAME"<br>
Product (5): "PRODUCT_DIMENSION"."PRODUCT_NAME"<br>
Year (6): "MONTH_DIMENSION"."CALENDER_YEAR"<br>
Quarter (7): "MONTH_DIMENSION"."CALENDER_QUARTER"<br>
Month (Key) (9): "MONTH_DIMENSION"."CALENDER_MONTH_NUMBER_IN_YEAR"<br>
TOD (10): "TIME_OF_DAY_DIMENSION"."TOD_NAME"<br>
IO (11): "INCOMING_OUTGOING_DIMENSION"."DIRECTION"<br>
ForeignNetworkName (12):
"FOREIGN_NETWORK_DIMENSION"."FND_NAME"<br>
<br>
<br>
<br>
<br>
<o:p></o:p></p>
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