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@@ -266,9 +266,9 @@ for _gs in _grouping_specs:
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_partials.append(_gdf)
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high_valued_payments_df = reduce(lambda a, b: a.unionByName(b), _partials)
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high_valued_payments___df = reduce(lambda a, b: a.unionByName(b), _partials)
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high_valued_payments_df.createOrReplaceTempView('high_valued_payments_df')
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high_valued_payments___df.createOrReplaceTempView('high_valued_payments___df')
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@@ -431,7 +431,7 @@ spark.sql(_merge_query)
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print(total_payments_and_total_value_processed_df.columns)
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print(most_used_payment_method___df.columns)
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print(high_valued_payments_df.columns)
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print(high_valued_payments___df.columns)
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print(total_failed_payments___df.columns)
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success_payment_metrics_df = spark.sql("""
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@@ -447,7 +447,7 @@ FULL OUTER JOIN total_payments_and_total_value_processed_df a
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ON a.payment_date = d.payment_date
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LEFT JOIN most_used_payment_method___df b
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ON a.payment_date = b.payment_date
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LEFT JOIN high_valued_payments_df c
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LEFT JOIN high_valued_payments___df c
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ON a.payment_date = c.payment_date
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""")
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