├── data └── .gitkeep ├── .gitignore ├── silver ├── gc │ ├── tb_medalha.sql │ ├── tb_players.sql │ ├── tb_players_medalha.sql │ └── tb_lobby_stats_player.sql └── ingestao_stream.py ├── databases └── create_databases.sql ├── bronze ├── schemas │ ├── tb_medalha.json │ ├── tb_players_medalha.json │ ├── tb_players.json │ └── tb_lobby_stats_player.json └── ingestao.py ├── raw ├── full_load.py ├── incremental_lobby.py └── incremental_lobby.sql ├── lib └── gcutils │ └── db.py ├── README.md └── LICENSE /data/.gitkeep: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | *.db 2 | *.csv -------------------------------------------------------------------------------- /silver/gc/tb_medalha.sql: -------------------------------------------------------------------------------- 1 | select 2 | Op, 3 | idMedal, 4 | descMedal, 5 | descTypeMedal 6 | 7 | from {table} -------------------------------------------------------------------------------- /silver/gc/tb_players.sql: -------------------------------------------------------------------------------- 1 | select 2 | Op, 3 | idPlayer, 4 | flFacebook, 5 | flTwitter, 6 | flTwitch, 7 | descCountry, 8 | dtBirth, 9 | dtRegistration 10 | 11 | from {table} -------------------------------------------------------------------------------- /databases/create_databases.sql: -------------------------------------------------------------------------------- 1 | -- Databricks notebook source 2 | CREATE SCHEMA IF NOT EXISTS bronze_gc LOCATION '/mnt/datalake/bronze/gc/'; 3 | CREATE SCHEMA IF NOT EXISTS silver_gc LOCATION '/mnt/datalake/silver/gc/'; 4 | -------------------------------------------------------------------------------- /silver/gc/tb_players_medalha.sql: -------------------------------------------------------------------------------- 1 | select Op, 2 | id, 3 | idPlayer, 4 | idMedal, 5 | case when dtCreatedAt > dtRemove then dtRemove else dtCreatedAt end as dtCreatedAt, 6 | dtExpiration, 7 | dtRemove, 8 | flActive 9 | 10 | from {table} -------------------------------------------------------------------------------- /bronze/schemas/tb_medalha.json: -------------------------------------------------------------------------------- 1 | { 2 | "fields": [ 3 | { 4 | "metadata": {}, 5 | "name": "idMedal", 6 | "nullable": true, 7 | "type": "integer" 8 | }, 9 | { 10 | "metadata": {}, 11 | "name": "descMedal", 12 | "nullable": true, 13 | "type": "string" 14 | }, 15 | { 16 | "metadata": {}, 17 | "name": "descTypeMedal", 18 | "nullable": true, 19 | "type": "string" 20 | } 21 | ], 22 | "type": "struct" 23 | } -------------------------------------------------------------------------------- /raw/full_load.py: -------------------------------------------------------------------------------- 1 | # %% 2 | 3 | import boto3 4 | import pandas as pd 5 | import sqlalchemy 6 | from tqdm import tqdm 7 | 8 | def save_s3(table, db_con, s3_client): 9 | df = pd.read_sql(table, db_con) 10 | filename = f"../data/full_load/{table}.csv" 11 | df.to_csv(filename) 12 | s3_client.upload_file(filename, 'platform-datalake-teomewhy', f"raw/gc/full-load/{table}/full_load.csv") 13 | return True 14 | 15 | con = sqlalchemy.create_engine("sqlite:///../data/full_load/gc.db") 16 | tables = con.table_names() 17 | s3_client = boto3.client('s3') 18 | 19 | # %% 20 | for t in tqdm(tables): 21 | save_s3(t, con, s3_client) -------------------------------------------------------------------------------- /lib/gcutils/db.py: -------------------------------------------------------------------------------- 1 | from pyspark.sql import types 2 | 3 | def import_query(path): 4 | with open(path, 'r') as open_file: 5 | query = open_file.read() 6 | return query 7 | 8 | def import_schema(table_name): 9 | with open(f'schemas/{table_name}.json', 'r') as open_file: 10 | schema = json.load(open_file) 11 | return types.StructType.fromJson(schema) 12 | 13 | def table_exists(database, table, spark): 14 | query = f'''show tables from {database} like '{table}' ''' 15 | df = spark.sql(query) 16 | return df.count() > 0 17 | 18 | def etl(query, table, spark): 19 | query_format = query.format(table=table) 20 | df = spark.sql(query_format) 21 | return df -------------------------------------------------------------------------------- /silver/gc/tb_lobby_stats_player.sql: -------------------------------------------------------------------------------- 1 | SELECT 2 | Op, 3 | idLobbyGame, 4 | idPlayer, 5 | idRoom, 6 | qtKill, 7 | qtAssist, 8 | qtDeath, 9 | qtHs, 10 | qtHs / qtKill as propHsRate, 11 | qtBombeDefuse, 12 | qtBombePlant, 13 | qtTk, 14 | qtTkAssist, 15 | qt1Kill, 16 | qt2Kill, 17 | qt3Kill, 18 | qt4Kill, 19 | qt5Kill, 20 | qtPlusKill, 21 | qtFirstKill, 22 | vlDamage, 23 | qtHits, 24 | qtShots, 25 | qtLastAlive, 26 | qtClutchWon, 27 | qtRoundsPlayed, 28 | descMapName, 29 | vlLevel, 30 | qtSurvived, 31 | qtTrade, 32 | qtFlashAssist, 33 | qtHitHeadshot, 34 | qtHitChest, 35 | qtHitStomach, 36 | qtHitLeftAtm, 37 | qtHitRightArm, 38 | qtHitLeftLeg, 39 | qtHitRightLeg, 40 | flWinner, 41 | dtCreatedAt 42 | 43 | from {table} -------------------------------------------------------------------------------- /raw/incremental_lobby.py: -------------------------------------------------------------------------------- 1 | 2 | # %% 3 | import argparse 4 | import os 5 | 6 | import boto3 7 | import pandas as pd 8 | import sqlalchemy 9 | 10 | 11 | if not os.path.exists('../data/incremental/tb_lobby_stats_player/'): 12 | os.mkdir('../data/incremental/tb_lobby_stats_player/') 13 | 14 | parser = argparse.ArgumentParser() 15 | parser.add_argument("--nPlayers", "-n", default=100) 16 | args = parser.parse_args() 17 | 18 | con = sqlalchemy.create_engine("sqlite:///../data/incremental/gc_incremental.db") 19 | s3_client = boto3.client('s3') 20 | 21 | with open("incremental_lobby.sql", 'r') as open_file: 22 | query = open_file.read() 23 | 24 | query = query.format(nPlayers=args.nPlayers) 25 | 26 | df = pd.read_sql(query, con) 27 | 28 | last_id = df['idLobbyGame'].min() 29 | filename = f"../data/incremental/tb_lobby_stats_player/{last_id}.csv" 30 | df.to_sql("tb_lobby_stats_player", con, if_exists='append', index=False) 31 | 32 | df['Op'] = 'I' # I = Insert; D = Delete ; U = Update 33 | df.to_csv(filename, index=False) 34 | s3_client.upload_file(filename, 'platform-datalake-teomewhy', f"raw/gc/cdc/tb_lobby_stats_player/{last_id}.csv") -------------------------------------------------------------------------------- /bronze/schemas/tb_players_medalha.json: -------------------------------------------------------------------------------- 1 | { 2 | "fields": [ 3 | { 4 | "metadata": {}, 5 | "name": "id", 6 | "nullable": true, 7 | "type": "integer" 8 | }, 9 | { 10 | "metadata": {}, 11 | "name": "idPlayer", 12 | "nullable": true, 13 | "type": "integer" 14 | }, 15 | { 16 | "metadata": {}, 17 | "name": "idMedal", 18 | "nullable": true, 19 | "type": "integer" 20 | }, 21 | { 22 | "metadata": {}, 23 | "name": "dtCreatedAt", 24 | "nullable": true, 25 | "type": "date" 26 | }, 27 | { 28 | "metadata": {}, 29 | "name": "dtExpiration", 30 | "nullable": true, 31 | "type": "date" 32 | }, 33 | { 34 | "metadata": {}, 35 | "name": "dtRemove", 36 | "nullable": true, 37 | "type": "date" 38 | }, 39 | { 40 | "metadata": {}, 41 | "name": "flActive", 42 | "nullable": true, 43 | "type": "integer" 44 | } 45 | ], 46 | "type": "struct" 47 | } -------------------------------------------------------------------------------- /bronze/schemas/tb_players.json: -------------------------------------------------------------------------------- 1 | { 2 | "fields": [ 3 | { 4 | "metadata": {}, 5 | "name": "idPlayer", 6 | "nullable": true, 7 | "type": "string" 8 | }, 9 | { 10 | "metadata": {}, 11 | "name": "flFacebook", 12 | "nullable": true, 13 | "type": "string" 14 | }, 15 | { 16 | "metadata": {}, 17 | "name": "flTwitter", 18 | "nullable": true, 19 | "type": "string" 20 | }, 21 | { 22 | "metadata": {}, 23 | "name": "flTwitch", 24 | "nullable": true, 25 | "type": "string" 26 | }, 27 | { 28 | "metadata": {}, 29 | "name": "descCountry", 30 | "nullable": true, 31 | "type": "string" 32 | }, 33 | { 34 | "metadata": {}, 35 | "name": "dtBirth", 36 | "nullable": true, 37 | "type": "timestamp" 38 | }, 39 | { 40 | "metadata": {}, 41 | "name": "dtRegistration", 42 | "nullable": true, 43 | "type": "timestamp" 44 | } 45 | ], 46 | "type": "struct" 47 | } -------------------------------------------------------------------------------- /raw/incremental_lobby.sql: -------------------------------------------------------------------------------- 1 | with tb_player as ( 2 | 3 | select distinct idPlayer 4 | from tb_lobby_stats_player 5 | 6 | ), 7 | 8 | tb_random_players as ( 9 | 10 | select idPlayer, 11 | abs(1.0 * random() % 10000) as randRank 12 | from tb_player 13 | 14 | ), 15 | 16 | tb_selected_player as ( 17 | 18 | select * 19 | from tb_random_players 20 | order by randRank desc, idPlayer desc 21 | limit {nPlayers} 22 | 23 | ), 24 | 25 | tb_random_lobby as ( 26 | 27 | select t1.*, 28 | t2.*, 29 | row_number() over (partition by t1.idPlayer order by random()) as rankLobby 30 | 31 | from tb_selected_player as t1 32 | left join tb_lobby_stats_player as t2 33 | on t1.idPlayer = t2.idPlayer 34 | 35 | ) 36 | 37 | select 38 | idLobbyGame + (select max(idLobbyGame) from tb_lobby_stats_player) as idLobbyGame, 39 | idPlayer, 40 | idRoom, 41 | qtKill, 42 | qtAssist, 43 | qtDeath, 44 | qtHs, 45 | qtBombeDefuse, 46 | qtBombePlant, 47 | qtTk, 48 | qtTkAssist, 49 | qt1Kill, 50 | qt2Kill, 51 | qt3Kill, 52 | qt4Kill, 53 | qt5Kill, 54 | qtPlusKill, 55 | qtFirstKill, 56 | vlDamage, 57 | qtHits, 58 | qtShots, 59 | qtLastAlive, 60 | qtClutchWon, 61 | qtRoundsPlayed, 62 | descMapName, 63 | vlLevel, 64 | qtSurvived, 65 | qtTrade, 66 | qtFlashAssist, 67 | qtHitHeadshot, 68 | qtHitChest, 69 | qtHitStomach, 70 | qtHitLeftAtm, 71 | qtHitRightArm, 72 | qtHitLeftLeg, 73 | qtHitRightLeg, 74 | flWinner, 75 | datetime((select max(dtCreatedAt) from tb_lobby_stats_player), '+1 day') as dtCreatedAt 76 | 77 | from tb_random_lobby 78 | where rankLobby = 1 -------------------------------------------------------------------------------- /bronze/ingestao.py: -------------------------------------------------------------------------------- 1 | # Databricks notebook source 2 | # DBTITLE 1,Imports 3 | from pyspark.sql import types 4 | from pyspark.sql import functions as F 5 | from pyspark.sql import window 6 | 7 | from delta.tables import * 8 | 9 | import json 10 | import time 11 | 12 | def import_schema(table_name): 13 | with open(f'schemas/{table_name}.json', 'r') as open_file: 14 | schema = json.load(open_file) 15 | return types.StructType.fromJson(schema) 16 | 17 | def table_exists(database, table): 18 | query = f'''show tables from {database} like '{table}' ''' 19 | df = spark.sql(query) 20 | return df.count() > 0 21 | 22 | 23 | # COMMAND ---------- 24 | 25 | # DBTITLE 1,Setup do job 26 | table_name = dbutils.widgets.get("table") 27 | id_field = dbutils.widgets.get("id_field").split(",") 28 | strongly_date = dbutils.widgets.get("strongly_date") 29 | 30 | full_load_path = f'/mnt/datalake/raw/gc/full-load/{table_name}' 31 | cdc_path = f'/mnt/datalake/raw/gc/cdc/{table_name}' 32 | 33 | table_schema = import_schema(table_name) 34 | 35 | checkpoint_path = f'/mnt/datalake/bronze/gc/{table_name}_checkpoint' 36 | 37 | stream_schema = table_schema[:] 38 | stream_schema = stream_schema.add('Op', data_type=types.StringType(), nullable=False, metadata={}) 39 | 40 | # COMMAND ---------- 41 | 42 | # DBTITLE 1,Carga full-load 43 | if not table_exists("bronze_gc", table_name): 44 | print("Realizando a primeira carga...") 45 | df = spark.read.schema(table_schema).csv(full_load_path, header=True) 46 | df.write.format('delta').saveAsTable(f'bronze_gc.{table_name}') 47 | print("ok.") 48 | 49 | # COMMAND ---------- 50 | 51 | # DBTITLE 1,Stream para CDC 52 | def upsert_delta(df, batchId, delta_table, id_field, strongly_date): 53 | 54 | join = " and ".join([f'd.{i} = c.{i}' for i in id_field]) 55 | 56 | w = window.Window.partitionBy(*id_field).orderBy(F.desc(strongly_date)) 57 | cdc_data = (df.withColumn('rn', F.row_number().over(w)) 58 | .filter('rn=1') 59 | .drop(F.col('rn'))) 60 | 61 | (delta_table.alias("d") 62 | .merge(cdc_data.alias("c"), join) 63 | .whenMatchedDelete(condition = "c.Op = 'D'") 64 | .whenMatchedUpdateAll(condition = "c.Op ='U'") 65 | .whenNotMatchedInsertAll(condition = "c.Op = 'I'") 66 | .execute()) 67 | 68 | return None 69 | 70 | delta_table = DeltaTable.forName(spark, f"bronze_gc.{table_name}") 71 | 72 | df_stream = (spark.readStream 73 | .format('cloudFiles') 74 | .option('cloudFiles.format', 'csv') 75 | .option('header', 'true') 76 | .schema(stream_schema) 77 | .load(cdc_path)) 78 | 79 | stream = (df_stream.writeStream 80 | .format('delta') 81 | .foreachBatch(lambda df, batchId: upsert_delta(df, batchId, delta_table, id_field, strongly_date)) 82 | .option('checkpointLocation', checkpoint_path) 83 | .start()) 84 | 85 | # COMMAND ---------- 86 | 87 | time.sleep(60*5) 88 | stream.processAllAvailable() 89 | stream.stop() 90 | -------------------------------------------------------------------------------- /silver/ingestao_stream.py: -------------------------------------------------------------------------------- 1 | # Databricks notebook source 2 | import time 3 | 4 | from pyspark.sql import functions as F 5 | from pyspark.sql import window 6 | 7 | from delta.tables import * 8 | 9 | import sys 10 | 11 | sys.path.insert(0, '../lib') 12 | 13 | from gcutils import db 14 | 15 | # COMMAND ---------- 16 | 17 | # DBTITLE 1,Parâmetros 18 | tb_origin = dbutils.widgets.get('tb_origin') 19 | tb_target = dbutils.widgets.get('tb_target') 20 | 21 | id_origin = dbutils.widgets.get('id_origin').split(",") 22 | id_target = dbutils.widgets.get('id_target').split(",") 23 | 24 | strongly_date_origin = dbutils.widgets.get('strongly_date_origin') 25 | strongly_date_target = dbutils.widgets.get('strongly_date_target') 26 | 27 | checkpoint_path = f'/mnt/datalake/silver/gc/{tb_target.split(".")[-1]}_checkpoint' 28 | table = tb_target.split(".")[-1] 29 | database = "_".join(tb_target.split(".")[0].split("_")[1:]) 30 | 31 | # COMMAND ---------- 32 | 33 | # DBTITLE 1,Full load 34 | query = db.import_query(f'{database}/{table}.sql') 35 | 36 | if not db.table_exists(*tb_target.split('.'), spark): 37 | query_exec = query.replace(" Op,", "") 38 | print("Realizando a primeira carga...") 39 | df = db.etl(query_exec, tb_origin, spark) 40 | df.coalesce(1).write.mode('overwrite').format('delta').saveAsTable(tb_target) 41 | print("ok.") 42 | 43 | # COMMAND ---------- 44 | 45 | # DBTITLE 1,Stream 46 | delta_table = DeltaTable.forName(spark, tb_target) 47 | 48 | def upsert_delta(df, batchId, query, delta_table, id_field, strongly_date): 49 | 50 | join = " and ".join([f'd.{i} = c.{i}' for i in id_field]) 51 | 52 | w = window.Window.partitionBy(*id_field).orderBy(F.desc(strongly_date)) 53 | 54 | df =(df.withColumn("Op", F.when(df._change_type == "insert","I") 55 | .when(df._change_type == "update_preimage", "U") 56 | .when(df._change_type == "update_postimage", "U") 57 | .when(df._change_type == 'delete' ,"D")) 58 | .withColumn('rn', F.row_number().over(w)) 59 | .filter('rn=1') 60 | .drop(F.col('rn'))) 61 | 62 | view_name = f'{tb_target.split(".")[-1]}_view' 63 | df.createOrReplaceGlobalTempView(view_name) 64 | 65 | view_name = f'global_temp.{tb_target.split(".")[-1]}_view' 66 | cdc_data = db.etl(query, view_name, spark) 67 | 68 | (delta_table.alias("d") 69 | .merge(cdc_data.alias("c"), join) 70 | .whenMatchedDelete(condition = "c.Op = 'D'") 71 | .whenMatchedUpdateAll(condition = "c.Op ='U'") 72 | .whenNotMatchedInsertAll(condition = "c.Op = 'I'") 73 | .execute()) 74 | return None 75 | 76 | df_stream = (spark.readStream 77 | .format("delta") 78 | .option("readChangeFeed", "true") 79 | .option("startingVersion", 0) 80 | .table(tb_origin)) 81 | 82 | stream = (df_stream.writeStream 83 | .format('delta') 84 | .foreachBatch(lambda df, batchId: upsert_delta(df, batchId, query, delta_table, id_target, strongly_date_target)) 85 | .option('checkpointLocation', checkpoint_path) 86 | .start()) 87 | 88 | # COMMAND ---------- 89 | 90 | time.sleep(60) 91 | stream.processAllAvailable() 92 | stream.stop() 93 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # gc-bricks 2 | 3 | Aprendendo sobre Datalakes com dados de [Counter Strike](https://store.steampowered.com/app/730/CounterStrike_Global_Offensive/) da [Gamers Club (GC)](https://gamersclub.gg/). 4 | 5 | Lives na [Twitch](https://www.twitch.tv/teomewhy) todas terças e quintas às 9:00AM! 6 | 7 | 8 | [teomewhy](https://www.twitch.tv/teomewhy)    [gc](https://gamersclub.gg/)    [Apache-Spark](https://spark.apache.org/)    [deltalake](https://delta.io/)    [databricks](https://databricks.com/) 9 | 10 | ## Sumário 11 | 12 | * [1. Sobre o projeto](#sobre-o-projeto) 13 | 14 | * [2 Ferramentas utilizadas](#ferramentas-utilizadas) 15 | 16 | * [3 Sobre os dados](#sobre-os-dados) 17 | 18 | * [4 Sobre o autor](#sobre-o-autor) 19 | 20 | * [5 Como apoiar](#como-apoiar) 21 | 22 | ## Sobre o projeto 23 | 24 | A ideia principal deste projeto é a criação de um Datalake utilizando os dados públicos que a Gamers Clube disponibilizou no Kaggle. É esperado que os exemplos construidos auxiliem os primeiros passos de quem se interesse pelo tema. Assim, começaremos do básico e evoluiremos em conjuto com a comunidade. 25 | 26 | Todo conteúdo será realizado em lives na Twitch no canal [Téo Me Why](https://www.twitch.tv/teomewhy). Não há custo algum para assistir às lives nem mesmo cadastro é necessário. Mas para ter uma melhor experiência, o cadastro na Twitch te possibilita maiores iterações. Para ter acesso ao conteúdo gravado, é necessário ser assinante do canal. 27 | 28 | Realizaremos as primeiras ingestões de dados na camada `raw`, consolidação em DeltaLake para camada `bronze`, qualidade de dados e padronizações em `silver` e visões analíticas em `gold`. Assim, construiremos pipelines de dados end-to-end. 29 | 30 | Você pode conferir o andamento do nosso projeto por meio das [`issues`](https://github.com/TeoMeWhy/gc-bricks/issues) e também pelo [painel de nosso projeto](https://github.com/orgs/TeoMeWhy/projects/1). 31 | 32 | ## Ferramentas Utilizadas 33 | 34 | Para a construção deste projeto contaremos com os seguintes componentes: 35 | 1. AWS S3 - Storage de armazenamentos dos dados. É onde todos os nossos dados serão guardados, seja em arquivos `.csv`, `.parquet` ou `.json`. 36 | 2. Apache Spark - Motor de processamento de dados. Esse cara que realizará todo processamento dos nossos dados e levando ele para camadas mais trabalhadas. Bem como nosso facilitador para realizar consultas em nossos dados para gerar indights, análises, modelos preditivos, etc. 37 | 3. Delta Lake - Framework de estrutura de arquivos e pastas para criação de Lakehouses. Com isso, temos a possibilidade de ter operações de `UPDATE` e `DELETE` em nosso Datalake, simulando um ambiente análogo ao de DataWarehouse (chamado datalakehouse). 38 | 4. Databricks - SaaS para Big Data. Este componente provisiona clusters Apache Spark auto geridos, bem como todas features de Delta Lake para criação de nosso projeto. Além de funcionalidades adicionais que facilitam nosso trabalho, como: orquestrador de execução, ambiente de desenvolvimento em notebooks, versionamento de código, trabalho compartilhado e outros. 39 | 5. Redash - Ferramenta para Data Visualization - É importante fornecer na ponta os resultados obtidos para os tomadores de decisão, assim, escolhemos o Redash para ser nossa ferramenta de Dashboards. 40 | 41 | ## Sobre os dados 42 | 43 | Vamos utilizar os dados da Gamers Club para realizar todos os passos. Você pode encontrar os dados disponíveis no [Kaggle](https://www.kaggle.com/gamersclub/brazilian-csgo-plataform-dataset-by-gamers-club), em formato `.csv`. 44 | 45 | Estes dados representam uma pequena parcela dos serviços disponíveis na plataforma da Gamers Club. Abaixo temos as tabelas contidas no dataset: 46 | 47 | - tb_lobby_stats_player: Tabela com estatísticas das Lobbies (partidas) de cada player. São mais de 150.000 linhas de dados 48 | - tb_medalha: Tabela com a descrições das medalhas disponíveis na GC e seu tipo. São mais de 40 linhas com medalhas distintas. 49 | - tb_players: Tabela com informações cadastrais dos players amostrados. São mais de 2.500 players distintos. 50 | - tb_players_medalha: Tabela com informações das medalhas que cada player adquiriu e expiração. São mais de 32.000 linhas. 51 | 52 | Temos ainda um esquema do relacionamento destes dados: 53 | 54 | 55 | 56 | ## Sobre o autor 57 | 58 | Téo é Bacharel em Estatística e tem Pós Graduação em Data Science & Big Data. 59 | 60 | Hoje, como Head of Data na Gamers Club, gostaria de contribuir ainda mais para a comunidade trazendo dados reais e aplicações com SQL, Python e Machine Learning. 61 | 62 | Você pode conhecer mais sobre mim no [LinkedIn](https://www.linkedin.com/in/teocalvo/) e [GitHub](https://github.com/teocalvo). 63 | 64 | ## Como apoiar 65 | 66 | O Téo Me Why existe a partir do propósito de mudar vidas pelo ensino, assim, a melhor forma de apoiar o que estamos construindo é o compartilhamento e interações nas redes sociais. Talvez você não faça ideia o quanto sua curtida pode alcançar e transformar vidas. 67 | 68 | Para manter o ambiente que construiremos funcionando, existe um custo envolvido. Hoje, as assinaturas da Twitch são a principal forma que conseguimos deixar as contas equilibradas. Assim, você pode nos apoiar assinano nosso canal. Em troca da assinatura, você terá acesso à todo material criado na Twitch, e ficará livre dos ADs (propaganda) durante as transmissões. 69 | 70 | Prezamos pela transparência, assim, você pode conferir nossas [contas aqui](https://docs.google.com/spreadsheets/d/1V5e4aIJTLh1k7kFn_wj5Bn_7_9hDCml1eNcXdK6NhU8/edit?usp=sharing). 71 | 72 | Fique a vontade para contribuir com este documento, corrigindo erros de português e digitação. Bem como abertura de `issues` que acredita ser interessante resolvermos. 73 | -------------------------------------------------------------------------------- /bronze/schemas/tb_lobby_stats_player.json: -------------------------------------------------------------------------------- 1 | { 2 | "fields": [ 3 | 4 | { 5 | "metadata": {}, 6 | "name": "idLobbyGame", 7 | "nullable": true, 8 | "type": "integer" 9 | }, 10 | { 11 | "metadata": {}, 12 | "name": "idPlayer", 13 | "nullable": true, 14 | "type": "integer" 15 | }, 16 | { 17 | "metadata": {}, 18 | "name": "idRoom", 19 | "nullable": true, 20 | "type": "integer" 21 | }, 22 | { 23 | "metadata": {}, 24 | "name": "qtKill", 25 | "nullable": true, 26 | "type": "integer" 27 | }, 28 | { 29 | "metadata": {}, 30 | "name": "qtAssist", 31 | "nullable": true, 32 | "type": "integer" 33 | }, 34 | { 35 | "metadata": {}, 36 | "name": "qtDeath", 37 | "nullable": true, 38 | "type": "integer" 39 | }, 40 | { 41 | "metadata": {}, 42 | "name": "qtHs", 43 | "nullable": true, 44 | "type": "integer" 45 | }, 46 | { 47 | "metadata": {}, 48 | "name": "qtBombeDefuse", 49 | "nullable": true, 50 | "type": "integer" 51 | }, 52 | { 53 | "metadata": {}, 54 | "name": "qtBombePlant", 55 | "nullable": true, 56 | "type": "integer" 57 | }, 58 | { 59 | "metadata": {}, 60 | "name": "qtTk", 61 | "nullable": true, 62 | "type": "float" 63 | }, 64 | { 65 | "metadata": {}, 66 | "name": "qtTkAssist", 67 | "nullable": true, 68 | "type": "float" 69 | }, 70 | { 71 | "metadata": {}, 72 | "name": "qt1Kill", 73 | "nullable": true, 74 | "type": "integer" 75 | }, 76 | { 77 | "metadata": {}, 78 | "name": "qt2Kill", 79 | "nullable": true, 80 | "type": "integer" 81 | }, 82 | { 83 | "metadata": {}, 84 | "name": "qt3Kill", 85 | "nullable": true, 86 | "type": "integer" 87 | }, 88 | { 89 | "metadata": {}, 90 | "name": "qt4Kill", 91 | "nullable": true, 92 | "type": "integer" 93 | }, 94 | { 95 | "metadata": {}, 96 | "name": "qt5Kill", 97 | "nullable": true, 98 | "type": "integer" 99 | }, 100 | { 101 | "metadata": {}, 102 | "name": "qtPlusKill", 103 | "nullable": true, 104 | "type": "integer" 105 | }, 106 | { 107 | "metadata": {}, 108 | "name": "qtFirstKill", 109 | "nullable": true, 110 | "type": "integer" 111 | }, 112 | { 113 | "metadata": {}, 114 | "name": "vlDamage", 115 | "nullable": true, 116 | "type": "float" 117 | }, 118 | { 119 | "metadata": {}, 120 | "name": "qtHits", 121 | "nullable": true, 122 | "type": "float" 123 | }, 124 | { 125 | "metadata": {}, 126 | "name": "qtShots", 127 | "nullable": true, 128 | "type": "float" 129 | }, 130 | { 131 | "metadata": {}, 132 | "name": "qtLastAlive", 133 | "nullable": true, 134 | "type": "float" 135 | }, 136 | { 137 | "metadata": {}, 138 | "name": "qtClutchWon", 139 | "nullable": true, 140 | "type": "float" 141 | }, 142 | { 143 | "metadata": {}, 144 | "name": "qtRoundsPlayed", 145 | "nullable": true, 146 | "type": "float" 147 | }, 148 | { 149 | "metadata": {}, 150 | "name": "descMapName", 151 | "nullable": true, 152 | "type": "string" 153 | }, 154 | { 155 | "metadata": {}, 156 | "name": "vlLevel", 157 | "nullable": true, 158 | "type": "float" 159 | }, 160 | { 161 | "metadata": {}, 162 | "name": "qtSurvived", 163 | "nullable": true, 164 | "type": "float" 165 | }, 166 | { 167 | "metadata": {}, 168 | "name": "qtTrade", 169 | "nullable": true, 170 | "type": "float" 171 | }, 172 | { 173 | "metadata": {}, 174 | "name": "qtFlashAssist", 175 | "nullable": true, 176 | "type": "float" 177 | }, 178 | { 179 | "metadata": {}, 180 | "name": "qtHitHeadshot", 181 | "nullable": true, 182 | "type": "float" 183 | }, 184 | { 185 | "metadata": {}, 186 | "name": "qtHitChest", 187 | "nullable": true, 188 | "type": "float" 189 | }, 190 | { 191 | "metadata": {}, 192 | "name": "qtHitStomach", 193 | "nullable": true, 194 | "type": "float" 195 | }, 196 | { 197 | "metadata": {}, 198 | "name": "qtHitLeftAtm", 199 | "nullable": true, 200 | "type": "float" 201 | }, 202 | { 203 | "metadata": {}, 204 | "name": "qtHitRightArm", 205 | "nullable": true, 206 | "type": "float" 207 | }, 208 | { 209 | "metadata": {}, 210 | "name": "qtHitLeftLeg", 211 | "nullable": true, 212 | "type": "float" 213 | }, 214 | { 215 | "metadata": {}, 216 | "name": "qtHitRightLeg", 217 | "nullable": true, 218 | "type": "float" 219 | }, 220 | { 221 | "metadata": {}, 222 | "name": "flWinner", 223 | "nullable": true, 224 | "type": "integer" 225 | }, 226 | { 227 | "metadata": {}, 228 | "name": "dtCreatedAt", 229 | "nullable": true, 230 | "type": "timestamp" 231 | } 232 | ], 233 | "type": "struct" 234 | } -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. Definitions. 8 | 9 | "License" shall mean the terms and conditions for use, reproduction, 10 | and distribution as defined by Sections 1 through 9 of this document. 11 | 12 | "Licensor" shall mean the copyright owner or entity authorized by 13 | the copyright owner that is granting the License. 14 | 15 | "Legal Entity" shall mean the union of the acting entity and all 16 | other entities that control, are controlled by, or are under common 17 | control with that entity. For the purposes of this definition, 18 | "control" means (i) the power, direct or indirect, to cause the 19 | direction or management of such entity, whether by contract or 20 | otherwise, or (ii) ownership of fifty percent (50%) or more of the 21 | outstanding shares, or (iii) beneficial ownership of such entity. 22 | 23 | "You" (or "Your") shall mean an individual or Legal Entity 24 | exercising permissions granted by this License. 25 | 26 | "Source" form shall mean the preferred form for making modifications, 27 | including but not limited to software source code, documentation 28 | source, and configuration files. 29 | 30 | "Object" form shall mean any form resulting from mechanical 31 | transformation or translation of a Source form, including but 32 | not limited to compiled object code, generated documentation, 33 | and conversions to other media types. 34 | 35 | "Work" shall mean the work of authorship, whether in Source or 36 | Object form, made available under the License, as indicated by a 37 | copyright notice that is included in or attached to the work 38 | (an example is provided in the Appendix below). 39 | 40 | "Derivative Works" shall mean any work, whether in Source or Object 41 | form, that is based on (or derived from) the Work and for which the 42 | editorial revisions, annotations, elaborations, or other modifications 43 | represent, as a whole, an original work of authorship. For the purposes 44 | of this License, Derivative Works shall not include works that remain 45 | separable from, or merely link (or bind by name) to the interfaces of, 46 | the Work and Derivative Works thereof. 47 | 48 | "Contribution" shall mean any work of authorship, including 49 | the original version of the Work and any modifications or additions 50 | to that Work or Derivative Works thereof, that is intentionally 51 | submitted to Licensor for inclusion in the Work by the copyright owner 52 | or by an individual or Legal Entity authorized to submit on behalf of 53 | the copyright owner. For the purposes of this definition, "submitted" 54 | means any form of electronic, verbal, or written communication sent 55 | to the Licensor or its representatives, including but not limited to 56 | communication on electronic mailing lists, source code control systems, 57 | and issue tracking systems that are managed by, or on behalf of, the 58 | Licensor for the purpose of discussing and improving the Work, but 59 | excluding communication that is conspicuously marked or otherwise 60 | designated in writing by the copyright owner as "Not a Contribution." 61 | 62 | "Contributor" shall mean Licensor and any individual or Legal Entity 63 | on behalf of whom a Contribution has been received by Licensor and 64 | subsequently incorporated within the Work. 65 | 66 | 2. Grant of Copyright License. Subject to the terms and conditions of 67 | this License, each Contributor hereby grants to You a perpetual, 68 | worldwide, non-exclusive, no-charge, royalty-free, irrevocable 69 | copyright license to reproduce, prepare Derivative Works of, 70 | publicly display, publicly perform, sublicense, and distribute the 71 | Work and such Derivative Works in Source or Object form. 72 | 73 | 3. Grant of Patent License. Subject to the terms and conditions of 74 | this License, each Contributor hereby grants to You a perpetual, 75 | worldwide, non-exclusive, no-charge, royalty-free, irrevocable 76 | (except as stated in this section) patent license to make, have made, 77 | use, offer to sell, sell, import, and otherwise transfer the Work, 78 | where such license applies only to those patent claims licensable 79 | by such Contributor that are necessarily infringed by their 80 | Contribution(s) alone or by combination of their Contribution(s) 81 | with the Work to which such Contribution(s) was submitted. If You 82 | institute patent litigation against any entity (including a 83 | cross-claim or counterclaim in a lawsuit) alleging that the Work 84 | or a Contribution incorporated within the Work constitutes direct 85 | or contributory patent infringement, then any patent licenses 86 | granted to You under this License for that Work shall terminate 87 | as of the date such litigation is filed. 88 | 89 | 4. Redistribution. You may reproduce and distribute copies of the 90 | Work or Derivative Works thereof in any medium, with or without 91 | modifications, and in Source or Object form, provided that You 92 | meet the following conditions: 93 | 94 | (a) You must give any other recipients of the Work or 95 | Derivative Works a copy of this License; and 96 | 97 | (b) You must cause any modified files to carry prominent notices 98 | stating that You changed the files; and 99 | 100 | (c) You must retain, in the Source form of any Derivative Works 101 | that You distribute, all copyright, patent, trademark, and 102 | attribution notices from the Source form of the Work, 103 | excluding those notices that do not pertain to any part of 104 | the Derivative Works; and 105 | 106 | (d) If the Work includes a "NOTICE" text file as part of its 107 | distribution, then any Derivative Works that You distribute must 108 | include a readable copy of the attribution notices contained 109 | within such NOTICE file, excluding those notices that do not 110 | pertain to any part of the Derivative Works, in at least one 111 | of the following places: within a NOTICE text file distributed 112 | as part of the Derivative Works; within the Source form or 113 | documentation, if provided along with the Derivative Works; or, 114 | within a display generated by the Derivative Works, if and 115 | wherever such third-party notices normally appear. The contents 116 | of the NOTICE file are for informational purposes only and 117 | do not modify the License. You may add Your own attribution 118 | notices within Derivative Works that You distribute, alongside 119 | or as an addendum to the NOTICE text from the Work, provided 120 | that such additional attribution notices cannot be construed 121 | as modifying the License. 122 | 123 | You may add Your own copyright statement to Your modifications and 124 | may provide additional or different license terms and conditions 125 | for use, reproduction, or distribution of Your modifications, or 126 | for any such Derivative Works as a whole, provided Your use, 127 | reproduction, and distribution of the Work otherwise complies with 128 | the conditions stated in this License. 129 | 130 | 5. Submission of Contributions. Unless You explicitly state otherwise, 131 | any Contribution intentionally submitted for inclusion in the Work 132 | by You to the Licensor shall be under the terms and conditions of 133 | this License, without any additional terms or conditions. 134 | Notwithstanding the above, nothing herein shall supersede or modify 135 | the terms of any separate license agreement you may have executed 136 | with Licensor regarding such Contributions. 137 | 138 | 6. Trademarks. This License does not grant permission to use the trade 139 | names, trademarks, service marks, or product names of the Licensor, 140 | except as required for reasonable and customary use in describing the 141 | origin of the Work and reproducing the content of the NOTICE file. 142 | 143 | 7. Disclaimer of Warranty. Unless required by applicable law or 144 | agreed to in writing, Licensor provides the Work (and each 145 | Contributor provides its Contributions) on an "AS IS" BASIS, 146 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or 147 | implied, including, without limitation, any warranties or conditions 148 | of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A 149 | PARTICULAR PURPOSE. You are solely responsible for determining the 150 | appropriateness of using or redistributing the Work and assume any 151 | risks associated with Your exercise of permissions under this License. 152 | 153 | 8. Limitation of Liability. In no event and under no legal theory, 154 | whether in tort (including negligence), contract, or otherwise, 155 | unless required by applicable law (such as deliberate and grossly 156 | negligent acts) or agreed to in writing, shall any Contributor be 157 | liable to You for damages, including any direct, indirect, special, 158 | incidental, or consequential damages of any character arising as a 159 | result of this License or out of the use or inability to use the 160 | Work (including but not limited to damages for loss of goodwill, 161 | work stoppage, computer failure or malfunction, or any and all 162 | other commercial damages or losses), even if such Contributor 163 | has been advised of the possibility of such damages. 164 | 165 | 9. Accepting Warranty or Additional Liability. While redistributing 166 | the Work or Derivative Works thereof, You may choose to offer, 167 | and charge a fee for, acceptance of support, warranty, indemnity, 168 | or other liability obligations and/or rights consistent with this 169 | License. However, in accepting such obligations, You may act only 170 | on Your own behalf and on Your sole responsibility, not on behalf 171 | of any other Contributor, and only if You agree to indemnify, 172 | defend, and hold each Contributor harmless for any liability 173 | incurred by, or claims asserted against, such Contributor by reason 174 | of your accepting any such warranty or additional liability. 175 | 176 | END OF TERMS AND CONDITIONS 177 | 178 | APPENDIX: How to apply the Apache License to your work. 179 | 180 | To apply the Apache License to your work, attach the following 181 | boilerplate notice, with the fields enclosed by brackets "[]" 182 | replaced with your own identifying information. (Don't include 183 | the brackets!) The text should be enclosed in the appropriate 184 | comment syntax for the file format. We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright [yyyy] [name of copyright owner] 190 | 191 | Licensed under the Apache License, Version 2.0 (the "License"); 192 | you may not use this file except in compliance with the License. 193 | You may obtain a copy of the License at 194 | 195 | http://www.apache.org/licenses/LICENSE-2.0 196 | 197 | Unless required by applicable law or agreed to in writing, software 198 | distributed under the License is distributed on an "AS IS" BASIS, 199 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 200 | See the License for the specific language governing permissions and 201 | limitations under the License. 202 | --------------------------------------------------------------------------------