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bitoollearner
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PySpark LeetCode Question
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+162
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‎Solved/1715. Count Apples and Oranges (Medium)-(Solved).ipynb

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"cell_type": "markdown",
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@@ -126,15 +135,27 @@
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"outputs": [
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"+------+--------+-----------+------------+\n|box_id|chest_id|apple_count|orange_count|\n+------+--------+-----------+------------+\n| 2| NULL| 6| 15|\n| 18| 14| 4| 15|\n| 19| 3| 8| 4|\n| 12| 2| 19| 20|\n| 20| 6| 12| 9|\n| 8| 6| 9| 9|\n| 3| 14| 16| 7|\n+------+--------+-----------+------------+\n\n+--------+-----------+------------+\n|chest_id|apple_count|orange_count|\n+--------+-----------+------------+\n| 6| 5| 6|\n| 14| 20| 10|\n| 2| 8| 8|\n| 3| 19| 4|\n| 16| 19| 19|\n+--------+-----------+------------+\n\n"
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]
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}
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],
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"source": [
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"boxes_data_1715 = [\n",
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" (2, None, 6, 15),\n",
@@ -163,15 +184,82 @@
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"chests_df_1715.show()\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"boxes = boxes_df_1715.alias(\"b\")\n",
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"chests = chests_df_1715.alias(\"c\")"
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]
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},
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{
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"cell_type": "code",
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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|apple_count|orange_count|\n+-----------+------------+\n| 151| 123|\n+-----------+------------+\n\n"
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]
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}
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],
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"source": [
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"boxes\\\n",
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" .join(chests, boxes.chest_id == chests.chest_id, \"left\")\\\n",
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" .select(\n",
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" (col(\"b.apple_count\") + coalesce(col(\"c.apple_count\"), lit(0))).alias(\"total_apples\"),\n",
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" (col(\"b.orange_count\") + coalesce(col(\"c.orange_count\"), lit(0))).alias(\"total_oranges\")\n",
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" )\\\n",
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" .agg(\n",
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" sum(\"total_apples\").alias(\"apple_count\"),\n",
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" sum(\"total_oranges\").alias(\"orange_count\")\n",
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" ).show()"
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]
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}
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],
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}
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},
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"dashboards": [],
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"environment_version": "2"
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},
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"language": "python",

‎Solved/1729. Find Followers Count (Easy)-(Solved).ipynb

Lines changed: 67 additions & 7 deletions
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"cell_type": "markdown",
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"metadata": {
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@@ -21,7 +24,10 @@
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@@ -40,7 +46,10 @@
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"cell_type": "markdown",
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@@ -96,15 +105,27 @@
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"execution_count": 0,
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"outputs": [
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{
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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|user_id|follower_id|\n+-------+-----------+\n| 0| 1|\n| 1| 0|\n| 2| 0|\n| 2| 1|\n+-------+-----------+\n\n"
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]
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}
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],
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"source": [
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"followers_data_1729 = [\n",
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" (0, 1),\n",
@@ -116,15 +137,54 @@
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"followers_df_1729 = spark.createDataFrame(followers_data_1729, followers_columns_1729)\n",
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"followers_df_1729.show()"
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]
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},
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{
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"cell_type": "code",
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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|user_id|followers_count|\n+-------+---------------+\n| 0| 1|\n| 1| 1|\n| 2| 2|\n+-------+---------------+\n\n"
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]
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}
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],
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"source": [
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"followers_df_1729\\\n",
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" .groupBy(\"user_id\") \\\n",
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" .agg(count(\"follower_id\").alias(\"followers_count\")) \\\n",
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" .orderBy(\"user_id\").show()"
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]
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}
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],
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"metadata": {
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"application/vnd.databricks.v1+notebook": {
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}
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},
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"dashboards": [],
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"environment_version": "1"
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"environment_version": "2"
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},
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"inputWidgetPreferences": null,
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"language": "python",

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