Performance

Table of contents

1. Boosting Performance

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Boosting Performance

The programs herein include performance aiding aspects, e.g.,

• Reading data files via their schemata, e.g., schemaOfCompanies.json
• Selectively, judiciously, persisting in-memory.
• Using persisted temporary views; if a Dataset or DataFrame can be [feasibly] persisted, temporary views are created via such persisted objects.

Parallelism is implicit & explicit throughout; wherever applicable and effective.