joined = df1.join(df2, 'id').filter(col('country')=='Singapore'). Order by population (count): .orderBy(col('count').desc()). Pivot: .groupBy('id','name').pivot('city').agg(first('count')). **Pivot cardinality**: High city count = many columns; coalesce or limit. **Broadcast** df1 if small....
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