Forum Discussion
Reducing data size - remove columns or merge with 2nd table size
Anonymous
So I've had a look in the detail and it is actually through up an error.
Table C is the result of merging Table A and Table B (Table A has "enable load" disabled is the PowerBI Desktop Query mode).
| Data source error: | {"error":{"code":"ModelRefresh_ShortMessage_ProcessingError","pbi.error":{"code":"ModelRefresh_ShortMessage_ProcessingError","parameters":{},"details":[{"code":"Message","detail":{"type":1,"value":"Unable to read data from the transport connection: An existing connection was forcibly closed by the remote host."}}],"exceptionCulprit":1}}} Table: TABLE_C. |
| Cluster URI: | WABI-NORTH-EUROPE-redirect.analysis.windows.net |
| Activity ID: | 9784f625-0fc4-4b01-ade0-530045abb358 |
| Request ID: | b151ec94-bd95-bf75-42ce-047262dca8de |
| Time: | 2020-05-22 18:42:26Z |
Hi Anonymous,
with importing files this big you might run into query timeouts.
An important question to me is: What is the source of your .dat files? Is it a database? Are you able to connect to that source directly, that would be much better. Depending on the source, you could even use the concept of Query Folding, which can potentially push the transformations back to the source system and give you much better performance and hence no issues with refreshing.
- Anonymous6 years agoNot applicable
HI nickyvv
Direct connection to the source data isn't possible at this time unfortunately. Would reducing the .dat files from monthly to weekly files change anything?
- nickyvv6 years ago
Most Valuable Professional
Hi Anonymous,
that would certainly help. You'll have to join them back together in Power BI, but that could solve the problem of timeouts.- Anonymous6 years agoNot applicable
I currently join them together in M query using the import sharepoint folder option so it's appending all files into one big one before doing data transformations on them. I'll try splitting the data down and report back.