joaomalho commented on issue #4212:
URL: https://github.com/apache/hop/issues/4212#issuecomment-2294340612

   My apologies for the previous explanation, i wasn't clear. I have configured 
the settings in my project metadata as detailed below:
   
   These are the current configurations of the project:
   
   
C:\hop\config\projects\project_name\metadata\pipeline-run-configuration\local.json
   ```
   {
     "engineRunConfiguration": {
       "Local": {
         "feedback_size": "10000000",
         "sample_size": "100",
         "sample_type_in_gui": "Last",
         "wait_time": "20",
         "rowset_size": "10000000",
         "safe_mode": false,
         "show_feedback": false,
         "topo_sort": false,
         "gather_metrics": false,
         "transactional": false
       }
     },
     "defaultSelection": true,
     "configurationVariables": [],
     "name": "local",
     "description": "",
     "executionInfoLocationName": "Runs your pipelines locally with the 
standard local Hop pipeline engine"
   }
   ``` 
   
   By default if i dont set my "rowset_size": "" the default rows are 10K:
   
![image](https://github.com/user-attachments/assets/78ed7e04-6d47-4d26-a8f9-97b3a42342be)
   
   After got this miss configuration i set "rowset_size": "10000000" (10M), and 
it works at least until 400k rows (then i stop it because im in test env.).
   
   Although if i set a very large number in "rowset_size", which will be a 
reality in the future once our project will collect huge databases, assuming 
"rowset_size" : "100000000" (10OM) will also run:
   
![image](https://github.com/user-attachments/assets/87f37684-0c1a-4503-b8e1-a52a06458741)
   
   But if i set it to 1B will not work, nether run the pipeline:
   
![image](https://github.com/user-attachments/assets/c13ae7f8-ef5c-42dd-b35e-5d58593c87d1)
   
   I know it is a huge amount of data, and i can arrange workarounds to manage 
it. However i'm concerned that this might be a miss configuration on my side, 
and i may need to deploy it on server machine if that's the case, or, if this 
is a limitation in apache hop i might need to consider splitting the pipeline.
   


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