Out of heap errors reading excel files with 16GB RAM

[mlauber71]

You can tell each node to store its results on the disc that could save RAM

Knime 3.6 Crash when dealing with massive data

you could try and increase the assigned memory in the knime.ini configuration file but with only 4 GB there are limits to that (https://www.knime.com/blog/optimizing-knime-workflows-for-performance). On other option is to set the “Memory Policy” of the (sorter) node to “Write tables to disc”. Obviously this increases the load on the hard drive but it might save on RAM. [image] Also you could try and close other workflows, restart KNIME an try to use the garbage collector. [image] [image] T…

Managing the flow of data with flow variables is a good idea.

The you could check other tips to increase performance.

Optimizing KNIME workflows for performance | KNIME

The another idea could be to increase the RAM allocated to KNIME to 10 or 12 GB and not have other big programs running.

Then you might give us a better idea how your workflow looks like and what it does so we might see how to improve things.