New standalone modules:analytics submodule with two Spark jobs:
- OpeningBookJob: reads game_records.pgn, extracts first N plies using
pure Catalyst SQL expressions (no UDFs), aggregates win/draw/loss rates
per opening sequence, writes Parquet + CSV top-1000 summary.
- PlayerStatsJob: unions each game into a player-centric view, aggregates
total_games/wins/losses/draws/avg_move_count/win_rate per player_id,
writes Parquet.
Module uses Scala 3 calling spark-sql_2.13 via JVM binary compatibility
(DataFrame API only; no spark.implicits._ / typed Datasets). Spark is
compileOnly; the fat jar bundles only scala3-library + postgresql driver.
Submit via spark-submit; see build.gradle.kts header for invocation.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Janis Eccarius