CentOS7安装Airflow
阅读原文时间:2023年07月11日阅读:2

centos7
python3.6

安装配置:

1.看看是否有gcc,没有的话需要进行安装:

yum install gcc  (后续安装airflow如果不成功,可以再次执行,它会更新包)【这个很重要哦】

2.安装脚本和依赖:

yum install -y python36
yum install -y python36-pip
yum install -y python36-devel
pip3 install paramiko

 安装airflow前,还需要安装依赖的环境:

yum -y install zlib-devel bzip2-devel openssl-devel ncurses-devel sqlite-devel readline-devel tk-devel gdbm-devel db4-devel libpcap-devel xz-devel

  安装airflow

pip3 install apache-airflow

安装pymysql

pip3 install pymysql

3.配置环境变量

# vi /etc/profile
  #airflow
  export AIRFLOW_HOME=/software/airflow

source /etc/profile

1.初始化数据库表(默认使用本地的sqlite数据库):

[root@centos-slave1 centos]# airflow initdb
[-- ::,] {__init__.py:} INFO - Using executor SequentialExecutor
DB: sqlite:////software/airflow/airflow.db
[-- ::,] {db.py:} INFO - Creating tables
INFO [alembic.runtime.migration] Context impl SQLiteImpl.
INFO [alembic.runtime.migration] Will assume non-transactional DDL.
INFO [alembic.runtime.migration] Running upgrade -> e3a246e0dc1, current schema
INFO [alembic.runtime.migration] Running upgrade e3a246e0dc1 -> 1507a7289a2f, create is_encrypted
/usr/local/lib/python3./site-packages/alembic/ddl/sqlite.py:: UserWarning: Skipping unsupported ALTER for creation of implicit constraint
"Skipping unsupported ALTER for "
INFO [alembic.runtime.migration] Running upgrade 1507a7289a2f -> 13eb55f81627, maintain history for compatibility with earlier migrations
INFO [alembic.runtime.migration] Running upgrade 13eb55f81627 -> 338e90f54d61, More logging into task_instance
INFO [alembic.runtime.migration] Running upgrade 338e90f54d61 -> 52d714495f0, job_id indices
INFO [alembic.runtime.migration] Running upgrade 52d714495f0 -> 502898887f84, Adding extra to Log
INFO [alembic.runtime.migration] Running upgrade 502898887f84 -> 1b38cef5b76e, add dagrun
INFO [alembic.runtime.migration] Running upgrade 1b38cef5b76e -> 2e541a1dcfed, task_duration
INFO [alembic.runtime.migration] Running upgrade 2e541a1dcfed -> 40e67319e3a9, dagrun_config
INFO [alembic.runtime.migration] Running upgrade 40e67319e3a9 -> 561833c1c74b, add password column to user
INFO [alembic.runtime.migration] Running upgrade 561833c1c74b -> 4446e08588, dagrun start end
INFO [alembic.runtime.migration] Running upgrade 4446e08588 -> bbc73705a13e, Add notification_sent column to sla_miss
INFO [alembic.runtime.migration] Running upgrade bbc73705a13e -> bba5a7cfc896, Add a column to track the encryption state of the 'Extra' field in connection
INFO [alembic.runtime.migration] Running upgrade bba5a7cfc896 -> 1968acfc09e3, add is_encrypted column to variable table
INFO [alembic.runtime.migration] Running upgrade 1968acfc09e3 -> 2e82aab8ef20, rename user table
INFO [alembic.runtime.migration] Running upgrade 2e82aab8ef20 -> 211e584da130, add TI state index
INFO [alembic.runtime.migration] Running upgrade 211e584da130 -> 64de9cddf6c9, add task fails journal table
INFO [alembic.runtime.migration] Running upgrade 64de9cddf6c9 -> f2ca10b85618, add dag_stats table
INFO [alembic.runtime.migration] Running upgrade f2ca10b85618 -> 4addfa1236f1, Add fractional seconds to mysql tables
INFO [alembic.runtime.migration] Running upgrade 4addfa1236f1 -> 8504051e801b, xcom dag task indices
INFO [alembic.runtime.migration] Running upgrade 8504051e801b -> 5e7d17757c7a, add pid field to TaskInstance
INFO [alembic.runtime.migration] Running upgrade 5e7d17757c7a -> 127d2bf2dfa7, Add dag_id/state index on dag_run table
INFO [alembic.runtime.migration] Running upgrade 127d2bf2dfa7 -> cc1e65623dc7, add max tries column to task instance
INFO [alembic.runtime.migration] Running upgrade cc1e65623dc7 -> bdaa763e6c56, Make xcom value column a large binary
INFO [alembic.runtime.migration] Running upgrade bdaa763e6c56 -> 947454bf1dff, add ti job_id index
INFO [alembic.runtime.migration] Running upgrade 947454bf1dff -> d2ae31099d61, Increase text size for MySQL (not relevant for other DBs' text types)
INFO [alembic.runtime.migration] Running upgrade d2ae31099d61 -> 0e2a74e0fc9f, Add time zone awareness
INFO [alembic.runtime.migration] Running upgrade d2ae31099d61 -> 33ae817a1ff4, kubernetes_resource_checkpointing
INFO [alembic.runtime.migration] Running upgrade 33ae817a1ff4 -> 27c6a30d7c24, kubernetes_resource_checkpointing
INFO [alembic.runtime.migration] Running upgrade 27c6a30d7c24 -> 86770d1215c0, add kubernetes scheduler uniqueness
INFO [alembic.runtime.migration] Running upgrade 86770d1215c0, 0e2a74e0fc9f -> 05f30312d566, merge heads
INFO [alembic.runtime.migration] Running upgrade 05f30312d566 -> f23433877c24, fix mysql not null constraint
INFO [alembic.runtime.migration] Running upgrade f23433877c24 -> 856955da8476, fix sqlite foreign key
INFO [alembic.runtime.migration] Running upgrade 856955da8476 -> 9635ae0956e7, index-faskfail
INFO [alembic.runtime.migration] Running upgrade 9635ae0956e7 -> dd25f486b8ea
INFO [alembic.runtime.migration] Running upgrade dd25f486b8ea -> bf00311e1990, add index to taskinstance
INFO [alembic.runtime.migration] Running upgrade 9635ae0956e7 -> 0a2a5b66e19d, add task_reschedule table
INFO [alembic.runtime.migration] Running upgrade 0a2a5b66e19d, bf00311e1990 -> 03bc53e68815, merge_heads_2
INFO [alembic.runtime.migration] Running upgrade 03bc53e68815 -> 41f5f12752f8, add superuser field
INFO [alembic.runtime.migration] Running upgrade 41f5f12752f8 -> c8ffec048a3b, add fields to dag
INFO [alembic.runtime.migration] Running upgrade c8ffec048a3b -> dd4ecb8fbee3, Add schedule interval to dag
INFO [alembic.runtime.migration] Running upgrade dd4ecb8fbee3 -> 939bb1e647c8, task reschedule fk on cascade delete
INFO [alembic.runtime.migration] Running upgrade c8ffec048a3b -> a56c9515abdc, Remove dag_stat table
INFO [alembic.runtime.migration] Running upgrade 939bb1e647c8 -> 6e96a59344a4, Make TaskInstance.pool not nullable
INFO [alembic.runtime.migration] Running upgrade 6e96a59344a4 -> 74effc47d867, change datetime to datetime2() on MSSQL tables
INFO [alembic.runtime.migration] Running upgrade 939bb1e647c8 -> 004c1210f153, increase queue name size limit
Done.

2.查看其生成文件:

[root@centos-slave1 centos]# cd /software/airflow/
[root@centos-slave1 airflow]# ls
airflow.cfg airflow.db logs unittests.cfg

3.配置MySQL数据库(创建airflow数据库,并创建用户和授权,给airflow访问数据库使用):

mysql> CREATE DATABASE airflow;
Query OK, row affected (0.00 sec)

mysql> GRANT all privileges on root.* TO 'root'@'localhost' IDENTIFIED BY 'root';
ERROR (HY000): Your password does not satisfy the current policy requirements
#这个错误与validate_password_policy的值有关。默认值是1,即MEDIUM,所以刚开始设置的密码必须符合长度,且必须含有数字,小写或大写字母,特殊字符。

 有时候,只是为了自己测试,不想密码设置得那么复杂,譬如说,我只想设置root的密码为root。

 必须修改两个全局参数:

1)首先,修改validate_password_policy参数的值:

mysql> set global validate_password_policy=;
Query OK, rows affected (0.00 sec)
#这样,判断密码的标准就基于密码的长度了。这个由validate_password_length参数来决定。

mysql> select @@validate_password_length;
+----------------------------+
| @@validate_password_length |
+----------------------------+
| |
+----------------------------+
row in set (0.00 sec)

2)修改validate_password_length参数,设置密码仅由密码长度决定。
mysql> set global validate_password_length=;
Query OK, rows affected (0.00 sec)

mysql> select @@validate_password_length;
+----------------------------+
| @@validate_password_length |
+----------------------------+
| |
+----------------------------+
row in set (0.00 sec)

mysql> GRANT all privileges on root.* TO 'root'@'localhost' IDENTIFIED BY 'root';
Query OK, rows affected, warning (0.35 sec)

mysql> FLUSH PRIVILEGES;
  Query OK, 0 rows affected (0.01 sec)

4.配置airflow使用LocalExecutor执行器,及使用MySQL数据库:

vim airflow/airflow.cfg

The executor class that airflow should use. Choices include

SequentialExecutor, LocalExecutor, CeleryExecutor, DaskExecutor, KubernetesExecutor

#executor = SequentialExecutor
executor = LocalExecutor

The SqlAlchemy connection string to the metadata database.

SqlAlchemy supports many different database engine, more information

their website

#sql_alchemy_conn = sqlite:////data/airflow/airflow.db
sql_alchemy_conn = mysql+pymysql://root:123456@localhost:3306/airflow

再次初始化数据库表:

airflow initdb

报错:

Exception: Global variable explicit_defaults_for_timestamp needs to be on (1) for mysql

 解决方案:

更改MySQL配置

vim /etc/my.cnf
[mysqld]
explicit_defaults_for_timestamp=

或者在数据库中运行一下语句:

set @@global.explicit_defaults_for_timestamp=on;

5.查看创建的airflow数据表:

mysql> use airflow;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A

Database changed
mysql> show tables;
+-------------------+
| Tables_in_airflow |
+-------------------+
| alembic_version |
| chart |
| connection |
| dag |
| dag_pickle |
| dag_run |
| dag_stats |
| import_error |
| job |
| known_event |
| known_event_type |
| log |
| sla_miss |
| slot_pool |
| task_fail |
| task_instance |
| users |
| variable |
| xcom |
+-------------------+
rows in set (0.00 sec)

1.添加airflow-scheduler服务启动脚本:

airflow webserver
airflow scheduler

[root@centos-master airflow]# airflow webserver
[-- ::,] {settings.py:} INFO - settings.configure_orm(): Using pool settings. pool_size=, max_overflow=, pool_recycle=, pid=
[-- ::,] {__init__.py:} INFO - Using executor LocalExecutor
____________ _____________
____ |__( )_________ __/__ /________ __
____ /| |_ /__ ___/_ /_ __ /_ __ \_ | /| / /
___ ___ | / _ / _ __/ _ / / /_/ /_ |/ |/ /
_/_/ |_/_/ /_/ /_/ /_/ \____/____/|__/
[-- ::,] {dagbag.py:} INFO - Filling up the DagBag from /software/airflow/dags
Running the Gunicorn Server with:
Workers: sync
Host: 0.0.0.0:
Timeout:

Logfiles: - -

[root@centos-master airflow]# airflow scheduler
[-- ::,] {settings.py:} INFO - settings.configure_orm(): Using pool settings. pool_size=, max_overflow=, pool_recycle=, pid=
[-- ::,] {__init__.py:} INFO - Using executor LocalExecutor
____________ _____________
____ |__( )_________ __/__ /________ __
____ /| |_ /__ ___/_ /_ __ /_ __ \_ | /| / /
___ ___ | / _ / _ __/ _ / / /_/ /_ |/ |/ /
_/_/ |_/_/ /_/ /_/ /_/ \____/____/|__/
[-- ::,] {scheduler_job.py:} INFO - Starting the scheduler
[-- ::,] {scheduler_job.py:} INFO - Running execute loop for - seconds
[-- ::,] {scheduler_job.py:} INFO - Processing each file at most - times
[-- ::,] {scheduler_job.py:} INFO - Searching for files in /software/airflow/dags
[-- ::,] {scheduler_job.py:} INFO - There are files in /software/airflow/dags
[-- ::,] {scheduler_job.py:} INFO - Resetting orphaned tasks for active dag runs
[-- ::,] {dag_processing.py:} INFO - Launched DagFileProcessorManager with pid:
[-- ::,] {settings.py:} INFO - Configured default timezone
[-- ::,] {settings.py:} INFO - settings.configure_orm(): Using pool settings. pool_size=, max_overflow=, pool_recycle=, pid=

2.浏览器访问:http://192.168.86.160:8080

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