tutorial session
DESCRIPTION
Tutorial Slides from QCon SP Credit to Patrick McFadden for several of the use case examples here.TRANSCRIPT
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©2013 DataStax Confidential. Do not distribute without consent.
Um Tutorial
Ben Coverston @bcoverstonDSE Architect, Datastax Inc.
NoSQL Com Apache Cassandra
1Wednesday, September 18, 13
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Quem Sou?• Ben Coverston• DSE Architect• DataStax Inc•Morei em SC por dois anos (em 1994-1996)
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Objetivos Da Sessão• O que é Apache Cassandra?• Para que posso usá-lo?• Discussão dos casos de uso• Dar vocês experiência na utilização da Cassandra• Questões
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O Que É Apache Cassandra?• E um banco de dados• Inicialmente criado pelo Facebook• Em 2008 foi doada para Apache• De 2008-2010 foi mantida de individuais• Até que DataStax foi estabelecido em Abril 2010
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O Que é Apache Cassandra (Cont.)• Apache Cassandra é uma mistura• Google Big Table
• Amazon Dynamo
• O modelo de dados vem de Big Table• A maneira de distribuição vem de Dynamo
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• Massivamente Escalável• Alto Desempenho• Confiávil / Disponível
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VLDB Benchmark
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Endpoint Benchmark
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Porque é Popular?• Um base de dados OLTP• Focalizado em cenários de tempo real
• Disponibilidade é o mais importante• Aplicações orientadas ou consumidor.
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O Que É ‘Real Time’?• Sem JOIN• Sem subqueries• Sem Agregação (GROUP BY)• ORDER BY é limitado
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Quando Devo Utilizar Cassandra• Se Você Tem Qualquer De:• Armazenamento além de uma região só
• Alto desempenho (High Performance)• Alta disponibilidade (High Availability)
• Cassandra deve ser considerado
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Em Outras Palavras• Precisa uma presença em mais que um Centro de Dados (os ambos
ativos)• Quando Estás Escalando De 0 ate .. não Sei!• Precisa 100% disponibilidade, (tão perto de possível)• Quando a aquisição disso com outro soluções é inviável ($)
. . . e também . . .
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O Modelo De Dados tem que estarcerto
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Antes de modelar, temos que Instalar.
Como Instalar Cassandra
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Maneiras De Installar Cassandra• Instalador Embalado (packaged installer) (deb/rpm)• Tarball (Vamos fazer isso hoje)• Datastax Community (DSC) (há por Windows)• Datastax Enterprise (DSE)• Os arquivos necessários estão no USB
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Vamos Installar• http://cassandra.apache.org
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Vamos Installar
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Vamos Installar$ java --version
# Cassandra é uma aplicação baseada em Java Precisa Java para funcionar# Pelas coisas que faremos hoje, OpenJDK talvez funcionará, mas precisamos# alguma Java
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Vamos Installar (OS X, Linux)$ tar -xvf apache-cassandra-1.2.8-bin.tar.gz
## modifica permissiões ou locais dos archivos
$ mv apache-cassandra-1.2.8-bin ~./cassandra$ cd ~./cassandra$ vim config/cassandra/cassandra.yaml
#change data directory# saved caches- saved_caches_directory: /user/lib/cassandra/saved_caches+ saved_caches_directory: /home/user/(you)/cassandra/saved_caches
#data_file_directories:- - /var/lib/cassandra/data+ - /var/users/(you)/cassandra/data
# commit log- commitlog_directory: /var/lib/cassandra/commitlog+ commitlog_directory: /var/users/(you)/cassandra/commitlog
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Vamos Installar (cont.)$ emacs conf/log4j-server.properties
- log4j.appender.R.File=/var/log/cassandra/system.log+ (your home)/cassandra/log/system.log
# run cassandra, o -f significa ‘foreground’$ bin/cassandra -f
# Abre uma nova ‘console’ e executa cqlsh$ bin/cqlsh
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Vamos Fazer• Quatro exemplos do mundo real• O causo atual, o modelo para fazer• Sao comum, talvez é seu causo de uso.• Vamos Fazer os soluções im CQL3
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Cria Uma Tabulo• Juntos• E tenta um WHERE• tracing on
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Simple Queries and TracingCREATE TABLE test ( a int PRIMARY KEY, b text);
INSERT INTO test (a, b) VALUES (1, 'example');INSERT INTO test (a, b) VALUES (2, 'example');INSERT INTO test (a, b) VALUES (3, 'example');INSERT INTO test (a, b) VALUES (4, 'example');INSERT INTO test (a, b) VALUES (5, 'example');INSERT INTO test (a, b) VALUES (6, 'example');INSERT INTO test (a, b) VALUES (7, 'example');INSERT INTO test (a, b) VALUES (8, 'example');INSERT INTO test (a, b) VALUES (9, 'example');INSERT INTO test (a, b) VALUES (10, 'example');
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Simple Queriesset tracing on;
SELECT * FROM test;
# bom
SELECT * FROM test WHERE a = 1;
# mais uma vez, bom
SELECT * FROM test WHERE b = 'Example';
## Cassandra? O que?
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Secondary IndexesCREATE INDEX ON test (b);
SELECT * FROM test WHERE b = 'Example';
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Espera!
CQL não faz ‘wide rows’!
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Faz, sim• Faz na mesma maneira que Thrift• É certo! Prometo!• Leia Aqui:
http://www.datastax.com/dev/blog/does-cql-support-dynamic-columns-wide-rows
...ou, pode confiar em mim, e vou demonstrar
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Também conhecido em Português como ‘Shopping Cart’,Um bom motivo para ter disponibilidade é que os pessoas querem dar-lhe dinheiro.
Modelo do Carrinho De Compras
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‘Shopping Cart’ Caso De Uso* Armazenar dados do Carrinho com segurança
* Minimizar, ou eliminar falhas (downtime). Multi-dc
* Escalar pela problema “Cyber Monday” problem
* Cada moment com falhas é $$
* Compradores on-line querem velocidade
The bad
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O Modelo do ‘Shopping Cart’• Cada consumidor pode ter max
que um ‘Cart’.• De-normaliza por acesso rápido• Um ‘Cart‘ == Um Partition
(storage row)• Cada coluna é um item
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O Modelo do ‘Shopping Cart’
CREATE TABLE user (! username varchar,! firstname varchar,! lastname varchar,! shopping_carts set<varchar>,! PRIMARY KEY (username));
CREATE TABLE shopping_cart (! username varchar,! cart_name text! item_id int,! item_name varchar,description varchar,! price float,! item_detail map<varchar,varchar>! PRIMARY KEY ((username,cart_name),item_id));
INSERT INTO shopping_cart (username,cart_name,item_id,item_name,description,price,item_detail)VALUES ('bcoverston','Gadgets I want',8675309,'Garmin 910XT','Multisport training watch',349.99,{'Related':'Timex sports watch','Volume Discount':'10'});
INSERT INTO shopping_cart (username,cart_name,item_id,item_name,description,price,item_detail)VALUES ('pmcfadin','Gadgets I want',9748575,'Polaris Foot Pod','Bluetooth Smart foot pod',64.00{'Related':'Timex foot pod','Volume Discount':'25'});
Um partition (storage row) de dados
Detalhas do item, flexível por qualquer coisa
Partition chave da linha pela ‘cart’ de um usuário só
Cria da chave pela linha (row key)
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Vamos Criar Nosso Modelo$ bin/cqlsh
cqlsh> CREATE KEYSPACE cart WITH replication = {'class': 'SimpleStrategy', 'replication_factor': 1};
cqlsh> USE cart;
cqlsh> CREATE TABLE user ( username varchar, firstname varchar, lastname varchar, shopping_carts set<varchar>, PRIMARY KEY (username));
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Nosso Modelo (cont)cqlsh> CREATE TABLE shopping_cart ( username varchar, cart_name text item_id int, item_name varchar, description varchar, price float, item_detail map<varchar,varchar> PRIMARY KEY ((username,cart_name),item_id));
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Inserir Dadoscqlsh> INSERT INTO shopping_cart (username, cart_name, item_id, item_name, description, price, item_detail)VALUES ('pmcfadin', 'Gadgets I want', 8675309, 'Garmin 910XT', 'Multisport training watch', 349.99, {'Related':'Timex sports watch','Volume Discount':'10'});
cqlsh> INSERT INTO shopping_cart (username,cart_name,item_id,item_name,description,price,item_detail) VALUES ('pmcfadin', 'Gadgets I want',9748575,'Polaris Foot Pod','Bluetooth Smart pod',64.00 {'Related':'Timex foot pod', 'Volume Discount':'25'});
cqlsh> SELECT * FROM shopping_cart;
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Duvidas?
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Arrepiante, mas legal (com permissão)
Monitoração dos atividades de usuários
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Monitoração dos Usarios* Reagir em ‘tempo real’
* Apoia por muitas aplicações simultâneos
* Escalar por velocidade
* Interações perdidos são caras
* ‘Batch’ (Hadoop) é muito lento
O mal
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O Modelo* Os pontos de interação vão em um ‘Users Table’
* Interações de longo prazo vão em um tabulo com um partition com um data (date).
* Dados de longo prazo pode ser processado em ‘batch’.
* Os outros dados são na ordem inversa.
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O Modelo de ActividadesCREATE TABLE user_activity (! username varchar,! interaction_time timeuuid,! activity_code varchar,! detail varchar,! PRIMARY KEY (username, interaction_time)) WITH CLUSTERING ORDER BY (interaction_time DESC);
CREATE TABLE user_activity_history (! username varchar,! interaction_date varchar,! interaction_time timeuuid,! activity_code varchar,! detail varchar,! PRIMARY KEY ((username,interaction_date),interaction_time));
INSERT INTO user_activity (username,interaction_time,activity_code,detail)VALUES ('bcoverston',0D1454E0-D202-11E2-8B8B-0800200C9A66,'100','Normal login')USING TTL 2592000;
INSERT INTO user_activity_history (username,interaction_date,interaction_time,activity_code,detail)VALUES ('bcoverston','20130605',0D1454E0-D202-11E2-8B8B-0800200C9A66,'100','Normal login');
Ordem inversa baseado em timestamp
Expirar após de 30 dias
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O Modelo de Actividadescqlsh> CREATE TABLE user_activity ( username varchar, interaction_time timeuuid, activity_code varchar, detail varchar, PRIMARY KEY (username, interaction_time)) WITH CLUSTERING ORDER BY (interaction_time DESC);
cqlsh> CREATE TABLE user_activity_history ( username varchar, interaction_date varchar, interaction_time timeuuid, activity_code varchar, detail varchar, PRIMARY KEY ((username,interaction_date),interaction_time));
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O Modelo de Actividadescqlsh> INSERT INTO user_activity (username,interaction_time,activity_code,detail) VALUES ('bcoverston', 0D1454E0-D202-11E2-8B8B-0800200C9A66,'100','Normal login') USING TTL 2592000;
cqlsh> INSERT INTO user_activity_history (username,interaction_date,interaction_time,activity_code,detail) VALUES ('bcoverston','20130605', 0D1454E0-D202-11E2-8B8B-0800200C9A66,'100','Normal login');
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Os Dados em Ação
username | interaction_time | detail | activity_code----------+--------------------------------------+------------------------------------------+------------------ pmcfadin | 9ccc9df0-d076-11e2-923e-5d8390e664ec | Entered shopping area: Jewelry | 301 pmcfadin | 9c652990-d076-11e2-923e-5d8390e664ec | Created shopping cart: Anniversary gifts | 202 pmcfadin | 1b5cef90-d076-11e2-923e-5d8390e664ec | Deleted shopping cart: Gadgets I want | 205 pmcfadin | 1b0e5a60-d076-11e2-923e-5d8390e664ec | Opened shopping cart: Gadgets I want | 201 pmcfadin | 1b0be960-d076-11e2-923e-5d8390e664ec | Normal login | 100
select * from user_activity limit 5;
Talvez flores também?
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Em Pt, “Logging”? Maquinas gerem dados rapidamente, seja pronto.
Coleção de Dados (Logging)
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Causo por ‘Logging’• Colher dados com alta velocidade• Cassandra é perto de onde os dados são gerados• Dados úteis, reportagem.
• RDBMS é caro pela escala essencial• ‘Batch’ e muito lento
O mal
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Causo por ‘Logging’• Flume para colher e distribuir dados
para tabelas vários.• Tabelas por pesquisa pela origem e
tempo.• Tabelas pela agregação e
sumarização dos dados.
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O Modelo de ‘Logs’
CREATE TABLE log_lookup (! source varchar,! date_to_minute varchar,! timestamp timeuuid,! raw_log blob,! PRIMARY KEY ((source,date_to_minute),timestamp));
CREATE TABLE login_success (! source varchar,! date_to_minute varchar, ! successful_logins counter, ! PRIMARY KEY (source,date_to_minute)) WITH CLUSTERING ORDER BY (date_to_minute DESC);
CREATE TABLE login_failure (! source varchar,! date_to_minute varchar, ! failed_logins counter, ! PRIMARY KEY (source,date_to_minute)) WITH CLUSTERING ORDER BY (date_to_minute DESC);
raw_logs pode ser em GZIP
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Aggregação dos Logs
0
25
50
75
100
10:01 10:03 10:05 10:07 10:09 10:11 10:13 10:15 10:17 10:19
Sucessful LoginsFailed Logins
SELECT date_to_minute,successful_loginsFROM login_successLIMIT 20;
SELECT date_to_minute,failed_loginsFROM login_failureLIMIT 20;
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cqlsh> CREATE TABLE log_lookup ( source varchar, date_to_minute varchar, timestamp timeuuid, raw_log blob, PRIMARY KEY ((source,date_to_minute),timestamp) );
cqlsh> CREATE TABLE login_success ( source varchar, date_to_minute varchar, successful_logins counter, PRIMARY KEY (source,date_to_minute)) WITH CLUSTERING ORDER BY (date_to_minute DESC);
cqlsh> CREATE TABLE login_failure ( source varchar, date_to_minute varchar, failed_logins counter, PRIMARY KEY (source,date_to_minute)) WITH CLUSTERING ORDER BY (date_to_minute DESC);
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Incrementing the Counterscqlsh> UPDATE login_success SET successful_logins = successful_logins + 2 WHERE source = 'foo' AND date_to_minute = 'bar';
cqlsh> UPDATE login_failure SET successful_logins = successful_logins + 2 WHERE source = 'foo' AND date_to_minute = 'bar';
cqlsh> SELECT date_to_minute,successful_logins FROM login_success LIMIT 20;
cqlsh> SELECT date_to_minute,failed_logins FROM login_failure LIMIT 20;
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Porque errors erros acontecem
Controle de Versões
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Causo controle de versões•Manter todas as versões• Escalar a qualquer numero de usuários• Cometer/Reverter (commit/rollback) numa formulário.
O mal• Em um RDBMS, Muitos relaciones que precisam um ‘JOIN’ • Precisa ficar em o Cloud, e o centro de dados.
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Causo controle de versões• Cada usuário tem um formulário• Cada formulário precisa controle
de versões• Um tabulo dedicado para
arquivar o versão actual• Acesso exclusivo para um
formulário
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Causo controle de versões
CREATE TABLE working_version (! username varchar,! form_id int,! version_number int,! locked_by varchar,! form_attributes map<varchar,varchar> ! PRIMARY KEY ((username, form_id), version_number)) WITH CLUSTERING ORDER BY (version_number DESC);
INSERT INTO working_version (username, form_id, version_number, locked_by, form_attributes)VALUES ('pmcfadin',1138,1,'',{'FirstName<text>':'First Name: ','LastName<text>':'Last Name: ','EmailAddress<text>':'Email Address: ','Newsletter<radio>':'Y,N'});
UPDATE working_version SET locked_by = 'pmcfadin'WHERE username = 'pmcfadin'AND form_id = 1138AND version_number = 1;
INSERT INTO working_version (username, form_id, version_number, locked_by, form_attributes)VALUES ('pmcfadin',1138,2,null,{'FirstName<text>':'First Name: ','LastName<text>':'Last Name: ','EmailAddress<text>':'Email Address: ','Newsletter<checkbox>':'Y'});
1. A primera versão
2. ‘Lock’ por um usuário
3. Insere uma nova versão, liberar o ‘Lock’
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Causo controle de versõescqlsh> CREATE TABLE working_version ( username varchar, form_id int, version_number int, locked_by varchar, form_attributes map<varchar,varchar> PRIMARY KEY ((username, form_id), version_number)) WITH CLUSTERING ORDER BY (version_number DESC);’
#a primeira versão
cqlsh> INSERT INTO working_version (username, form_id, version_number, locked_by, form_attributes)VALUES ('pmcfadin',1138,1,'',{'FirstName<text>':'First Name: ','LastName<text>':'Last Name: ','EmailAddress<text>':'Email Address: ','Newsletter<radio>':'Y,N'});
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Causo controle de versõescqlsh> UPDATE working_version SET locked_by = 'pmcfadin'WHERE username = 'pmcfadin'AND form_id = 1138AND version_number = 1;
cqlsh> INSERT INTO working_version (username, form_id, version_number, locked_by, form_attributes)VALUES ('pmcfadin',1138,2,null,{'FirstName<text>':'First Name: ','LastName<text>':'Last Name: ','EmailAddress<text>':'Email Address: ','Newsletter<checkbox>':'Y'});
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É Tudo• Duvidas?
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