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Merge pull request #59 from TeoMeWhy/feat/dota
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| SELECT | ||
| '{date}' AS dtReference, | ||
| idPlayer, | ||
| count(distinct idMatch) AS nrFrequency, | ||
| avg(flWin) AS avgWin, | ||
| COALESCE(avg(nrCampsStacked),0) AS avgCampsStacked, | ||
| COALESCE(avg(nrCreepsStacked),0) AS avgCreepsStacked, | ||
| COALESCE(avg(nrKills),0) AS avgKills, | ||
| COALESCE(avg(nrAssist),0) AS avgAssist, | ||
| COALESCE(avg(nrDeaths),0) AS avgDeaths, | ||
| COALESCE(avg(nrDenies),0) AS avgDenies, | ||
| COALESCE(avg(flFirstbloodClaimed),0) AS avgFirstbloodClaimed, | ||
| COALESCE(avg(nrGold),0) AS avgGold, | ||
| COALESCE(avg(nrGoldMinute),0) AS avgGoldMinute, | ||
| COALESCE(avg(nrGoldSpent),0) AS avgGoldSpent, | ||
| COALESCE(avg(nrHeroDamage),0) AS avgHeroDamage, | ||
| COALESCE(avg(nrHeroHealing),0) AS avgHeroHealing, | ||
| COALESCE(avg(nrLastHits),0) AS avgLastHits, | ||
| COALESCE(avg(nrLevel),0) AS avgLevel, | ||
| COALESCE(avg(nrNetWorth),0) AS avgNetWorth, | ||
| COALESCE(avg(nrRoshansKilled),0) AS avgRoshansKilled, | ||
| COALESCE(avg(nrRunePicks),0) AS avgRunePicks, | ||
| COALESCE(avg(nrStunsSec),0) AS avgStunsSec, | ||
| COALESCE(avg(pctTeamfightParticipation),0) AS avgtTeamfightParticipation, | ||
| COALESCE(avg(nrTowerDamage),0) AS avgTowerDamage, | ||
| COALESCE(avg(nrTowerKilled),0) AS avgTowerKilled, | ||
| COALESCE(avg(nrXpMinute),0) AS avgXpMinute, | ||
| COALESCE(avg(nrTotalGold),0) AS avgTotalGold, | ||
| COALESCE(avg(nrTotalXp),0) AS avgTotalXp, | ||
| COALESCE(avg(nrKillsMinute),0) AS avgKillsMinute, | ||
| COALESCE(avg(nrKDA),0) AS avgKDA, | ||
| COALESCE(avg(nrNeutralKills),0) AS avgNeutralKills, | ||
| COALESCE(avg(nrTowerKills),0) AS avgTowerKills, | ||
| COALESCE(avg(nrCourierKills),0) AS avgCourierKills, | ||
| COALESCE(avg(nrLaneKills),0) AS avgLaneKills, | ||
| COALESCE(avg(nrHeroKills),0) AS avgHeroKills, | ||
| COALESCE(avg(nrObserverKills),0) AS avgObserverKills, | ||
| COALESCE(avg(nrSentryKills),0) AS avgSentryKills, | ||
| COALESCE(avg(nrRoshansKills),0) AS avgRoshansKills, | ||
| COALESCE(avg(nrNecronomiconKills),0) AS avgNecronomiconKills, | ||
| COALESCE(avg(nrAncientKills),0) AS avgAncientKills, | ||
| COALESCE(avg(nrBuybackCount),0) AS avgBuybackCount, | ||
| COALESCE(avg(nrObserverUses),0) AS avgObserverUses, | ||
| COALESCE(avg(nrSentryUses),0) AS avgSentryUses, | ||
| COALESCE(avg(pctLaneEfficiency),0) AS avgLaneEfficiency, | ||
| COALESCE(avg(nrPurchaseTps),0) AS avgPurchaseTps | ||
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| FROM silver.dota.matches_players | ||
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| WHERE dtMatch >= '{date}' - INTERVAL {window} DAY | ||
| AND dtMatch < '{date}' | ||
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| GROUP BY dtReference, idPlayer |
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| # Databricks notebook source | ||
| import sys | ||
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| sys.path.insert(0, '../../../lib/') | ||
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| import dbtools | ||
| import dttools | ||
| from databricks import feature_store | ||
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| table = dbutils.widgets.get('table') # parametro | ||
| window_time = int(dbutils.widgets.get('window')) # parametro | ||
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| fs_name = f'dota_{table}_{window_time}' | ||
| database = 'feature_store' | ||
| fs_full_name = f'{database}.{fs_name}' | ||
| description = dbutils.widgets.get('description') # parametro | ||
| id_fields = dbutils.widgets.get('id_fields').split(',') # parametro | ||
| partition_fields = dbutils.widgets.get('partition_fields').split(',') # parametro | ||
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| date_start = dbutils.widgets.get('date_start') # parametro | ||
| date_stop = dbutils.widgets.get('date_stop') # parametro | ||
| monthly = 'monthly' if dbutils.widgets.get('monthly') == 'True' else 'daily' # parametro | ||
| dates = dttools.date_range(date_start, date_stop, period=monthly) | ||
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| query = dbtools.import_query(f'etl/{table}.sql') | ||
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| fs = feature_store.FeatureStoreClient() | ||
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| # COMMAND ---------- | ||
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| fl_table_exists = dbtools.table_exists(spark=spark, database=database, table=fs_name) | ||
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| for i in dates: | ||
| print(i) | ||
| df = spark.sql(query.format(date=i, window=window_time)) | ||
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| if not fl_table_exists: | ||
| fs.create_table(name=fs_full_name, | ||
| primary_keys=id_fields, | ||
| partition_columns=partition_fields, | ||
| description=description, | ||
| schema=df.schema) | ||
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| fl_table_exists = True | ||
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| fs.write_table(name=fs_full_name, df=df, mode='merge') |
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