-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathdocker-compose.yml
More file actions
187 lines (172 loc) · 4.86 KB
/
docker-compose.yml
File metadata and controls
187 lines (172 loc) · 4.86 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
x-airflow-common:
&airflow-common
build:
context: ./airflow
dockerfile: airflow.Dockerfile
user: "0:0" # run as root to access docker.sock
environment:
&airflow-common-env
AIRFLOW__CORE__EXECUTOR: LocalExecutor
AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
AIRFLOW__WEBSERVER__SECRET_KEY: "super-secret-key-please-change-me" # use the same in all services!
AIRFLOW__CORE__FERNET_KEY: "X5uLmpuVDfYEm1LXYGxR8UwHAPEVIXKo5A98O4yU8lY=" # optional but good to define
AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'false'
AIRFLOW__CORE__LOAD_EXAMPLES: 'false'
AIRFLOW_CONN_SSH_SPARK_MASTER: ssh://root:root@spark-master:22
AIRFLOW_CONN_SSH_DBT: ssh://root:root@dbt:22
volumes:
- ./airflow/dags:/opt/airflow/dags
- ./airflow/logs:/opt/airflow/logs
- ./airflow/plugins:/opt/airflow/plugins
# - /var/run/docker.sock:/var/run/docker.sock # allows running host docker
depends_on:
postgres:
condition: service_healthy
services:
hadoop-master:
build: ./hadoop
hostname: hadoop-master
volumes:
- ./hadoop/start-namenode.sh:/start-namenode.sh
- hadoop_data_master:/opt/hadoop/data/namenode
ports:
- "9871:9870" # HDFS Web UI
- "8089:8088"
command: ["/bin/bash", "/start-namenode.sh"]
hadoop-slave1:
build: ./hadoop
hostname: hadoop-slave1
volumes:
- ./hadoop/start-datanode.sh:/start-datanode.sh
- hadoop_data_slave1:/opt/hadoop/data/datanode
command: ["/bin/bash", "/start-datanode.sh"]
hadoop-slave2:
build: ./hadoop
hostname: hadoop-slave2
volumes:
- ./hadoop/start-datanode.sh:/start-datanode.sh
- hadoop_data_slave2:/opt/hadoop/data/datanode
command: ["/bin/bash", "/start-datanode.sh"]
spark-master:
build: ./spark
hostname: spark-master
volumes:
- ./spark-app:/opt/spark-app
- ./spark/start-master.sh:/start-master.sh
command: ["/bin/bash", "/start-master.sh"]
env_file:
- .env
ports:
- "8080:8080"
- "7077:7077"
spark-worker-1:
build: ./spark
hostname: spark-worker-1
volumes:
- ./spark/start-worker.sh:/start-worker.sh
command: ["/bin/bash", "/start-worker.sh"]
depends_on:
- spark-master
spark-worker-2:
build: ./spark
hostname: spark-worker-2
volumes:
- ./spark/start-worker.sh:/start-worker.sh
command: ["/bin/bash", "/start-worker.sh"]
depends_on:
- spark-master
spark-worker-3:
build: ./spark
hostname: spark-worker-3
volumes:
- ./spark/start-worker.sh:/start-worker.sh
command: ["/bin/bash", "/start-worker.sh"]
depends_on:
- spark-master
mysql:
image: mysql:8
volumes:
- mysql-data:/var/lib/mysql
# - ./mysql/init.sql:/docker-entrypoint-initdb.d/init.sql
environment:
MYSQL_ROOT_PASSWORD: root
MYSQL_DATABASE: metastore
ports:
- "3307:3306"
healthcheck:
test: ["CMD", "mysqladmin", "ping", "-h", "localhost"]
interval: 5s
timeout: 5s
retries: 5
hive-metastore:
build: ./hive-metastore
hostname: hive-metastore
ports:
- "9083:9083"
depends_on:
mysql:
condition: service_healthy
volumes:
- ./hive-metastore/conf/hive-site.xml:/opt/hive/conf/hive-site.xml
- ./hive-metastore/init.sh:/init.sh
command: ["/bin/bash", "/init.sh"]
healthcheck:
test: ["CMD", "nc", "-z", "localhost", "9083"]
interval: 5s
timeout: 5s
retries: 5
dbt:
build:
context: ./dbt
dockerfile: dbt.Dockerfile
hostname: dbt
ports:
- "7748:7748"
env_file:
- .env
volumes:
- ./dbt:/dbt # Nơi chứa project dbt của bạn trên host
depends_on:
- spark-master
- hive-metastore
- mysql
command: ["/bin/bash", "/dbt/setup_dbt.sh"]
postgres:
image: postgres:13
environment:
POSTGRES_USER: airflow
POSTGRES_PASSWORD: airflow
POSTGRES_DB: airflow
volumes:
- postgres-db-volume:/var/lib/postgresql/data
healthcheck:
test: ["CMD", "pg_isready", "-U", "airflow"]
interval: 5s
retries: 5
airflow-init:
<<: *airflow-common
command: >
bash -c "
airflow db upgrade &&
airflow users create --username admin --password admin --firstname Admin --lastname User --role Admin --email admin@example.com
"
airflow-webserver:
<<: *airflow-common
ports:
- 8081:8080
command: webserver
depends_on:
airflow-init:
condition: service_completed_successfully
airflow-scheduler:
<<: *airflow-common
command: scheduler
depends_on:
airflow-init:
condition: service_completed_successfully
volumes:
hadoop_data_master:
hadoop_data_slave1:
hadoop_data_slave2:
mysql-data:
postgres-db-volume: