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Using the WASM connector involves two steps: First is to go to the "dataSelectionUntrrackedStore" and change the "const connector = ..." line to "const conector = vg.wasmConnector()" (this should be currently commented out.
The "configStore" would then need to be updated to use the correct url since the WASM connector doesn't have access to the named docker services. Instead of "client/data", it would need to be "localhost/data" or "loonsw.sci.utah.edu/data".
This should be implemented as a flag/setting in the config.json file (which means it would need to carry through to the .env file, pass in the .env file in the client service, then pull it in in vite)
However, in practice, the WASM connector has not worked with large datasets so far. We have gotten this error from Mosaic:
Error resolving promises: RuntimeError: memory access out of bounds
It may work for smaller datasets. There may also be some sort of configuration in the wasm connector to increase memory.
The text was updated successfully, but these errors were encountered:
Using the WASM connector involves two steps: First is to go to the "dataSelectionUntrrackedStore" and change the "const connector = ..." line to "const conector = vg.wasmConnector()" (this should be currently commented out.
The "configStore" would then need to be updated to use the correct url since the WASM connector doesn't have access to the named docker services. Instead of "client/data", it would need to be "localhost/data" or "loonsw.sci.utah.edu/data".
This should be implemented as a flag/setting in the config.json file (which means it would need to carry through to the .env file, pass in the .env file in the client service, then pull it in in vite)
However, in practice, the WASM connector has not worked with large datasets so far. We have gotten this error from Mosaic:
It may work for smaller datasets. There may also be some sort of configuration in the wasm connector to increase memory.
The text was updated successfully, but these errors were encountered: