Fabric Spark workspace settings: high concurrency vs reserve max cores vs customize compute vs autologging
This sheet compares High concurrency mode, Reserve maximum cores, Customize compute configuration, Automatic logging.
| Criterion | High concurrency mode | Reserve maximum cores | Customize compute configuration | Automatic logging |
|---|---|---|---|---|
| What it does | Multiple notebooks share one Spark session | Disables optimistic admission; reserves cores for running jobs | Lets items override driver and executor cores and memory | Captures ML training parameters and metrics |
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