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bitoollearner
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LeetCode Pyspark Solution
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‎Solved/2362. Generate the Invoice (Hard)-(Solved).ipynb

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"+----------+-----+\n|product_id|price|\n+----------+-----+\n| 1| 100|\n| 2| 200|\n+----------+-----+\n\n+----------+----------+--------+\n|invoice_id|product_id|quantity|\n+----------+----------+--------+\n| 1| 1| 2|\n| 3| 2| 1|\n| 2| 2| 3|\n| 2| 1| 4|\n| 4| 1| 10|\n+----------+----------+--------+\n\n"
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]
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}
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],
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"source": [
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"products_data_2362 = [\n",
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" (1, 100),\n",
@@ -148,15 +169,120 @@
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"purchases_df_2362 = spark.createDataFrame(purchases_data_2362, purchases_columns_2362)\n",
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"purchases_df_2362.show()\n"
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]
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},
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"invoice_df_2362 = purchases_df_2362.join(products_df_2362, on=\"product_id\")\\\n",
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" .withColumn(\"price\", col(\"price\") * col(\"quantity\")) "
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]
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"total_invoice_df_2362 = invoice_df_2362\\\n",
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" .groupBy(\"invoice_id\").agg(sum(\"price\").alias(\"total_price\"))"
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]
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},
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"max_invoice_id_2362 = total_invoice_df_2362\\\n",
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" .orderBy(desc(\"total_price\"), asc(\"invoice_id\")).limit(1)\\\n",
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" .select(\"invoice_id\")"
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]
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"outputs": [
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"output_type": "stream",
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"+----------+--------+-----+\n|product_id|quantity|price|\n+----------+--------+-----+\n| 2| 3| 600|\n| 1| 4| 400|\n+----------+--------+-----+\n\n"
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]
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}
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],
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"source": [
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"invoice_df_2362\\\n",
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" .join(max_invoice_id_2362, on=\"invoice_id\")\\\n",
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" .select(\"product_id\", \"quantity\", \"price\").show()"
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]
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‎Solved/2372. Calculate the Influence of Each Salesperson (Medium)-(Solved).ipynb

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"text": [
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"+--------------+-----+\n|salesperson_id| name|\n+--------------+-----+\n| 1|Alice|\n| 2| Bob|\n| 3|Jerry|\n+--------------+-----+\n\n+-----------+--------------+\n|customer_id|salesperson_id|\n+-----------+--------------+\n| 1| 1|\n| 2| 1|\n| 3| 2|\n+-----------+--------------+\n\n+-------+-----------+-----+\n|sale_id|customer_id|price|\n+-------+-----------+-----+\n| 1| 2| 892|\n| 2| 1| 354|\n| 3| 3| 988|\n| 4| 3| 856|\n+-------+-----------+-----+\n\n"
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]
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}
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],
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"source": [
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"salesperson_data_2372 = [\n",
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" (1, \"Alice\"),\n",
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"sales_df_2372 = spark.createDataFrame(sales_data_2372, sales_columns_2372)\n",
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"sales_df_2372.show()"
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]
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},
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"source": [
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"sales_with_salesperson_df_2372 = sales_df_2372\\\n",
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" .join(\n",
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" customer_df_2372,\n",
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" on=\"customer_id\",\n",
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" how=\"right\" \n",
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" )"
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]
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},
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"outputs": [],
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"salesperson_total_df_2372 = sales_with_salesperson_df_2372\\\n",
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" .groupBy(\"salesperson_id\")\\\n",
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" .agg(sum(\"price\").alias(\"total\"))"
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]
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},
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"+--------------+-----+-----+\n|salesperson_id| name|total|\n+--------------+-----+-----+\n| 1|Alice| 1246|\n| 2| Bob| 1844|\n| 3|Jerry| 0|\n+--------------+-----+-----+\n\n"
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]
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}
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],
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"source": [
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"salesperson_df_2372\\\n",
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" .join(\n",
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" salesperson_total_df_2372,\n",
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" on=\"salesperson_id\",\n",
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" how=\"left\"\n",
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" ).fillna(0, subset=[\"total\"]).show()"
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]
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