databricks
This commit is contained in:
@@ -17,7 +17,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 69,
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"execution_count": null,
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"id": "11bb5dc2",
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"metadata": {},
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"outputs": [],
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@@ -29,7 +29,7 @@
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"def start_spark(app_name):\n",
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" jar_path = str(Path.cwd() / \"postgresql.jar\")\n",
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" spark = SparkSession.builder.appName(app_name).config(\"spark.jars\", jar_path).config(\"spark.driver.extraClassPath\", jar_path).getOrCreate()\n",
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" spark.sparkContext.setLogLevel(\"ERROR\")\n",
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" spark.log.level(\"ERROR\")\n",
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" return spark\n",
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"\n",
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"def music_source_paths():\n",
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@@ -56,7 +56,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 70,
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"execution_count": null,
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"id": "a898326e",
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"metadata": {},
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"outputs": [],
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@@ -106,7 +106,7 @@
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" .withColumn(\"offline_timestamped\", F.to_timestamp(\"offline_timestamp\"))\n",
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" .withColumn('time', F.date_format('ts', 'HH:mm:ss'))\n",
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" .withColumn('date', F.date_format('ts', 'yyyy-MM-dd'))\n",
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" .withColumn('day of week', F.day('ts'))\n",
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" .withColumn('day_of_week', F.day('ts'))\n",
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" .withColumn('hour', F.hour('ts'))\n",
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" .withColumn('offline_time', F.date_format('offline_timestamped', 'HH:mm:ss'))\n",
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" .withColumn('offline_date', F.date_format('offline_timestamped', 'yyyy-MM-dd')) \n",
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@@ -125,7 +125,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 71,
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"execution_count": null,
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"id": "817475cf",
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"metadata": {},
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"outputs": [],
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@@ -157,10 +157,16 @@
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" }\n",
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" return url, properties\n",
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"\n",
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"def load_data(df, table_name):\n",
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"def jdbc_write(df, table_name):\n",
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" \"\"\"Load the data into the database.\"\"\"\n",
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" url, properties = get_jdbc_config()\n",
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" df.write.jdbc(url=url, table=table_name, mode=\"overwrite\", properties=properties)"
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" df.write.jdbc(url=url, table=table_name, mode=\"overwrite\", properties=properties)\n",
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"\n",
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"def databricks_write(df, table_name):\n",
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" \"\"\"Load the data into bronze catalog.\"\"\"\n",
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" catalog = \"workspace\"\n",
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" schema = \"default\"\n",
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" return df.write.format(\"delta\").mode(\"overwrite\").saveAsTable(f\"{catalog}.{schema}.{table_name}\")"
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]
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},
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{
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@@ -187,7 +193,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 91,
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"execution_count": null,
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"id": "4cc14bd0",
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"metadata": {},
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"outputs": [
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@@ -229,11 +235,16 @@
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" app_name = \"ml_media\"\n",
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" spark = start_spark(app_name)\n",
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"\n",
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" table_name = \"spotify_data\"\n",
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" raw_table_name = \"raw_spotify_data\"\n",
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" bronze_table_name = \"bronze_spotify_data\"\n",
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" silver_table_name = \"silver_spotify_data\"\n",
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" raw_df = read_json(spark, music_source_paths())\n",
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" raw_df.show(1)\n",
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"\n",
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" load_data(raw_df, raw_table_name)\n",
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"\n",
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" transformed_df = clean_track_df(raw_df)\n",
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" #load_data(transformed_df, table_name)\n",
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" \n",
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" load_data(transformed_df, bronze_table_name)\n",
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" # transformed_df.show(5)\n",
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" # skip_reason_df = transformed_df.groupBy(\"skipped\", \"reason_end\").count().orderBy(F.desc(\"reason_end\")).show()\n",
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" # reason_df = transformed_df.groupBy(\"reason_end\").orderBy(F.desc(\"count\")).show(5)\n",
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@@ -266,6 +277,35 @@
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"# transformed_df.groupBy(\"username\").count().show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "35878e16",
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"metadata": {},
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"outputs": [],
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"source": [
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"## Databricks\n",
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"\n",
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" ## MAIN ## \n",
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"\n",
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"# app_name = \"ml_media\"\n",
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"\n",
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"\n",
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"# raw_table_name = \"raw_spotify_data\"\n",
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"# bronze_table_name = \"bronze_spotify_data\"\n",
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"# silver_table_name = \"silver_spotify_data\"\n",
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"# raw_df = read_json(spark, music_source_paths())\n",
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"# databricks_write(raw_df, raw_table_name)\n",
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"# transformed_df = clean_track_df(raw_df)\n",
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"\n",
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"# databricks_write(transformed_df, bronze_table_name)\n",
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"\n",
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"# skip_reason_bool = (transformed_df.groupBy(\"reason_end\")\n",
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"# .agg(F.collect_set(\"skipped\").alias(\"skipped_values\"))\n",
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"# .orderBy(\"reason_end\")\n",
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"# .show(truncate=False))\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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@@ -17,7 +17,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": null,
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"id": "2c1aeb30",
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"metadata": {},
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"outputs": [],
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@@ -26,7 +26,7 @@
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"def start_spark(app_name):\n",
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" jar_path = str(Path.cwd() / \"postgresql.jar\")\n",
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" spark = SparkSession.builder.appName(app_name).config(\"spark.jars\", jar_path).config(\"spark.driver.extraClassPath\", jar_path).getOrCreate()\n",
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" spark.sparkContext.setLogLevel(\"ERROR\")\n",
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" spark.log.level(\"ERROR\")\n",
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" return spark\n",
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"\n",
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"def get_jdbc_config():\n",
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@@ -57,7 +57,14 @@
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"\n",
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"def read_jdbc(spark, table_name):\n",
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" url, properties = get_jdbc_config()\n",
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" return spark.read.jdbc(url=url, table=table_name, properties=properties)"
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" return spark.read.jdbc(url=url, table=table_name, properties=properties)\n",
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"\n",
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"def databricks_read(df, table_name):\n",
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" \"\"\"Read the data from catalog.\"\"\"\n",
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" catalog = \"workspace\"\n",
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" schema = \"default\"\n",
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" path = f\"{catalog}.{schema}.{table_name}\"\n",
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" return df.read.table(path)"
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]
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},
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{
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@@ -72,7 +79,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"execution_count": null,
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"id": "f7673c72",
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"metadata": {},
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"outputs": [
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@@ -128,14 +135,34 @@
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" app_name = \"ml_media_silver\"\n",
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" spark = start_spark(app_name)\n",
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"\n",
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" table_name = \"spotify_data\"\n",
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" silver_df = read_jdbc(spark, table_name)\n",
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" bronze_table_name = \"bronze_spotify_data\"\n",
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" silver_table_name = \"silver_spotify_data\"\n",
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" silver_df = read_jdbc(spark, bronze_table_name)\n",
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"\n",
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" silver_df.groupBy(\"track_name\", \"username\").count().show()\n",
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"\n",
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" #spark.stop()\n",
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"if __name__ == \"__main__\":\n",
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" main()"
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" main()\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c9a695ae",
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"metadata": {},
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"outputs": [],
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"source": [
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"## Databricks ##\n",
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" ## MAIN ## \n",
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"\n",
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"# app_name = \"ml_media_silver\"\n",
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"# bronze_table_name = \"bronze_spotify_data\"\n",
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"# silver_table_name = \"silver_spotify_data\"\n",
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"# silver_df = databricks_read(spark, bronze_table_name)\n",
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"# silver_df.show(1)\n",
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"\n",
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"\n"
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]
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}
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],
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