From c024706d561c9bb03a61f314b857e09fc9451bdf Mon Sep 17 00:00:00 2001 From: Alexander Gabriel Date: Tue, 20 Jun 2023 23:19:46 +0200 Subject: [PATCH] added files --- defaults/main.yml | 5 + handlers/main.yml | 24 + tasks/main.yml | 71 ++ templates/airflow.cfg.j2 | 1242 ++++++++++++++++++++++++++++++++++ templates/airflow.service.j2 | 13 + 5 files changed, 1355 insertions(+) create mode 100644 defaults/main.yml create mode 100644 handlers/main.yml create mode 100644 tasks/main.yml create mode 100644 templates/airflow.cfg.j2 create mode 100644 templates/airflow.service.j2 diff --git a/defaults/main.yml b/defaults/main.yml new file mode 100644 index 0000000..4cbef25 --- /dev/null +++ b/defaults/main.yml @@ -0,0 +1,5 @@ +--- +postgresql_hostname: localhost +postgresql_database: airflow_db +postgresql_username: airflow_user +postgresql_password: airflow_pass diff --git a/handlers/main.yml b/handlers/main.yml new file mode 100644 index 0000000..f8df3ee --- /dev/null +++ b/handlers/main.yml @@ -0,0 +1,24 @@ +--- +- name: reload systemd + command: systemctl daemon-reload + +- name: restart keycloak + service: + name: keycloak + state: restarted + +- name: restart apache2 + service: + name: apache2 + state: restarted + +- name: restart airflow + service: + name: airflow + state: restarted + +- name: reload apache2 + service: + name: apache2 + state: reloaded + diff --git a/tasks/main.yml b/tasks/main.yml new file mode 100644 index 0000000..e9a9d8f --- /dev/null +++ b/tasks/main.yml @@ -0,0 +1,71 @@ +--- +- name: Install required packages + apt: + name: + - python3-pip + - python-is-python3 + update_cache: yes + +- name: Install pip package apache-airflow + ansible.builtin.pip: + name: apache-airflow + +- name: Add the user 'airflow' + ansible.builtin.user: + name: airflow + system: true + +- name: generate /etc/systemd/system/airflow.service + template: + src: airflow.service.j2 + dest: /etc/systemd/system/airflow.service + owner: root + group: root + mode: "0644" + notify: + - reload systemd + +- name: Flush handlers + meta: flush_handlers + +- name: enable airflow + systemd: + name: airflow + enabled: yes + masked: no + notify: + restart airflow + +- name: generate /home/airflow/airflow/airflow.cfg + template: + src: airflow.cfg.j2 + dest: /home/airflow/airflow/airflow.cfg + owner: airflow + group: airflow + mode: "0644" + notify: + - restart airflow + +- name: Flush handlers + meta: flush_handlers + +- name: include role for database + include_role: + name: postgresql + +- name: include role for website + include_role: + name: website + vars: + domainname: "{{ inventory_hostname }}" + docroot: "/var/www/html" + optionalDirectives: | + ProxyPreserveHost On + SSLProxyEngine On + SSLProxyCheckPeerCN on + SSLProxyCheckPeerExpire on + RequestHeader set X-Forwarded-Proto "https" + RequestHeader set X-Forwarded-Port "443" + ProxyPass / http://127.0.0.1:8080/ + ProxyPassReverse / http://127.0.0.1:8080/ + diff --git a/templates/airflow.cfg.j2 b/templates/airflow.cfg.j2 new file mode 100644 index 0000000..c1bcd8e --- /dev/null +++ b/templates/airflow.cfg.j2 @@ -0,0 +1,1242 @@ +[core] +# The folder where your airflow pipelines live, most likely a +# subfolder in a code repository. This path must be absolute. +dags_folder = /home/airflow/airflow/dags + +# Hostname by providing a path to a callable, which will resolve the hostname. +# The format is "package.function". +# +# For example, default value "airflow.utils.net.getfqdn" means that result from patched +# version of socket.getfqdn() - see https://github.com/python/cpython/issues/49254. +# +# No argument should be required in the function specified. +# If using IP address as hostname is preferred, use value ``airflow.utils.net.get_host_ip_address`` +hostname_callable = airflow.utils.net.getfqdn + +# Default timezone in case supplied date times are naive +# can be utc (default), system, or any IANA timezone string (e.g. Europe/Amsterdam) +default_timezone = utc + +# The executor class that airflow should use. Choices include +# ``SequentialExecutor``, ``LocalExecutor``, ``CeleryExecutor``, ``DaskExecutor``, +# ``KubernetesExecutor``, ``CeleryKubernetesExecutor`` or the +# full import path to the class when using a custom executor. +executor = LocalExecutor + +# This defines the maximum number of task instances that can run concurrently per scheduler in +# Airflow, regardless of the worker count. Generally this value, multiplied by the number of +# schedulers in your cluster, is the maximum number of task instances with the running +# state in the metadata database. +parallelism = 32 + +# The maximum number of task instances allowed to run concurrently in each DAG. To calculate +# the number of tasks that is running concurrently for a DAG, add up the number of running +# tasks for all DAG runs of the DAG. This is configurable at the DAG level with ``max_active_tasks``, +# which is defaulted as ``max_active_tasks_per_dag``. +# +# An example scenario when this would be useful is when you want to stop a new dag with an early +# start date from stealing all the executor slots in a cluster. +max_active_tasks_per_dag = 16 + +# Are DAGs paused by default at creation +dags_are_paused_at_creation = True + +# The maximum number of active DAG runs per DAG. The scheduler will not create more DAG runs +# if it reaches the limit. This is configurable at the DAG level with ``max_active_runs``, +# which is defaulted as ``max_active_runs_per_dag``. +max_active_runs_per_dag = 16 + +# The name of the method used in order to start Python processes via the multiprocessing module. +# This corresponds directly with the options available in the Python docs: +# https://docs.python.org/3/library/multiprocessing.html#multiprocessing.set_start_method. +# Must be one of the values returned by: +# https://docs.python.org/3/library/multiprocessing.html#multiprocessing.get_all_start_methods. +# Example: mp_start_method = fork +# mp_start_method = + +# Whether to load the DAG examples that ship with Airflow. It's good to +# get started, but you probably want to set this to ``False`` in a production +# environment +load_examples = False + +# Path to the folder containing Airflow plugins +plugins_folder = /home/airflow/airflow/plugins + +# Should tasks be executed via forking of the parent process ("False", +# the speedier option) or by spawning a new python process ("True" slow, +# but means plugin changes picked up by tasks straight away) +execute_tasks_new_python_interpreter = False + +# Secret key to save connection passwords in the db +fernet_key = + +# Whether to disable pickling dags +donot_pickle = True + +# How long before timing out a python file import +dagbag_import_timeout = 30.0 + +# Should a traceback be shown in the UI for dagbag import errors, +# instead of just the exception message +dagbag_import_error_tracebacks = True + +# If tracebacks are shown, how many entries from the traceback should be shown +dagbag_import_error_traceback_depth = 2 + +# How long before timing out a DagFileProcessor, which processes a dag file +dag_file_processor_timeout = 50 + +# The class to use for running task instances in a subprocess. +# Choices include StandardTaskRunner, CgroupTaskRunner or the full import path to the class +# when using a custom task runner. +task_runner = StandardTaskRunner + +# If set, tasks without a ``run_as_user`` argument will be run with this user +# Can be used to de-elevate a sudo user running Airflow when executing tasks +default_impersonation = + +# What security module to use (for example kerberos) +security = + +# Turn unit test mode on (overwrites many configuration options with test +# values at runtime) +unit_test_mode = False + +# Whether to enable pickling for xcom (note that this is insecure and allows for +# RCE exploits). +enable_xcom_pickling = False + +# What classes can be imported during deserialization. This is a multi line value. +# The individual items will be parsed as regexp. Python built-in classes (like dict) +# are always allowed +allowed_deserialization_classes = airflow\..* + +# When a task is killed forcefully, this is the amount of time in seconds that +# it has to cleanup after it is sent a SIGTERM, before it is SIGKILLED +killed_task_cleanup_time = 60 + +# Whether to override params with dag_run.conf. If you pass some key-value pairs +# through ``airflow dags backfill -c`` or +# ``airflow dags trigger -c``, the key-value pairs will override the existing ones in params. +dag_run_conf_overrides_params = True + +# When discovering DAGs, ignore any files that don't contain the strings ``DAG`` and ``airflow``. +dag_discovery_safe_mode = True + +# The pattern syntax used in the ".airflowignore" files in the DAG directories. Valid values are +# ``regexp`` or ``glob``. +dag_ignore_file_syntax = regexp + +# The number of retries each task is going to have by default. Can be overridden at dag or task level. +default_task_retries = 0 + +# The number of seconds each task is going to wait by default between retries. Can be overridden at +# dag or task level. +default_task_retry_delay = 300 + +# The weighting method used for the effective total priority weight of the task +default_task_weight_rule = downstream + +# The default task execution_timeout value for the operators. Expected an integer value to +# be passed into timedelta as seconds. If not specified, then the value is considered as None, +# meaning that the operators are never timed out by default. +default_task_execution_timeout = + +# Updating serialized DAG can not be faster than a minimum interval to reduce database write rate. +min_serialized_dag_update_interval = 30 + +# If True, serialized DAGs are compressed before writing to DB. +# Note: this will disable the DAG dependencies view +compress_serialized_dags = False + +# Fetching serialized DAG can not be faster than a minimum interval to reduce database +# read rate. This config controls when your DAGs are updated in the Webserver +min_serialized_dag_fetch_interval = 10 + +# Maximum number of Rendered Task Instance Fields (Template Fields) per task to store +# in the Database. +# All the template_fields for each of Task Instance are stored in the Database. +# Keeping this number small may cause an error when you try to view ``Rendered`` tab in +# TaskInstance view for older tasks. +max_num_rendered_ti_fields_per_task = 30 + +# On each dagrun check against defined SLAs +check_slas = True + +# Path to custom XCom class that will be used to store and resolve operators results +# Example: xcom_backend = path.to.CustomXCom +xcom_backend = airflow.models.xcom.BaseXCom + +# By default Airflow plugins are lazily-loaded (only loaded when required). Set it to ``False``, +# if you want to load plugins whenever 'airflow' is invoked via cli or loaded from module. +lazy_load_plugins = True + +# By default Airflow providers are lazily-discovered (discovery and imports happen only when required). +# Set it to False, if you want to discover providers whenever 'airflow' is invoked via cli or +# loaded from module. +lazy_discover_providers = True + +# Hide sensitive Variables or Connection extra json keys from UI and task logs when set to True +# +# (Connection passwords are always hidden in logs) +hide_sensitive_var_conn_fields = True + +# A comma-separated list of extra sensitive keywords to look for in variables names or connection's +# extra JSON. +sensitive_var_conn_names = + +# Task Slot counts for ``default_pool``. This setting would not have any effect in an existing +# deployment where the ``default_pool`` is already created. For existing deployments, users can +# change the number of slots using Webserver, API or the CLI +default_pool_task_slot_count = 128 + +# The maximum list/dict length an XCom can push to trigger task mapping. If the pushed list/dict has a +# length exceeding this value, the task pushing the XCom will be failed automatically to prevent the +# mapped tasks from clogging the scheduler. +max_map_length = 1024 + +# The default umask to use for process when run in daemon mode (scheduler, worker, etc.) +# +# This controls the file-creation mode mask which determines the initial value of file permission bits +# for newly created files. +# +# This value is treated as an octal-integer. +daemon_umask = 0o077 + +# Class to use as dataset manager. +# Example: dataset_manager_class = airflow.datasets.manager.DatasetManager +# dataset_manager_class = + +# Kwargs to supply to dataset manager. +# Example: dataset_manager_kwargs = {"some_param": "some_value"} +# dataset_manager_kwargs = + +[database] +# The SqlAlchemy connection string to the metadata database. +# SqlAlchemy supports many different database engines. +# More information here: +# http://airflow.apache.org/docs/apache-airflow/stable/howto/set-up-database.html#database-uri +sql_alchemy_conn = postgresql+psycopg2://{{ postgresql_username }}:{{ postgresql_password }}@{{ postgresql_hostname }}/{{ postgresql_database }} + +# Extra engine specific keyword args passed to SQLAlchemy's create_engine, as a JSON-encoded value +# Example: sql_alchemy_engine_args = {"arg1": True} +# sql_alchemy_engine_args = + +# The encoding for the databases +sql_engine_encoding = utf-8 + +# Collation for ``dag_id``, ``task_id``, ``key``, ``external_executor_id`` columns +# in case they have different encoding. +# By default this collation is the same as the database collation, however for ``mysql`` and ``mariadb`` +# the default is ``utf8mb3_bin`` so that the index sizes of our index keys will not exceed +# the maximum size of allowed index when collation is set to ``utf8mb4`` variant +# (see https://github.com/apache/airflow/pull/17603#issuecomment-901121618). +# sql_engine_collation_for_ids = + +# If SqlAlchemy should pool database connections. +sql_alchemy_pool_enabled = True + +# The SqlAlchemy pool size is the maximum number of database connections +# in the pool. 0 indicates no limit. +sql_alchemy_pool_size = 5 + +# The maximum overflow size of the pool. +# When the number of checked-out connections reaches the size set in pool_size, +# additional connections will be returned up to this limit. +# When those additional connections are returned to the pool, they are disconnected and discarded. +# It follows then that the total number of simultaneous connections the pool will allow +# is pool_size + max_overflow, +# and the total number of "sleeping" connections the pool will allow is pool_size. +# max_overflow can be set to ``-1`` to indicate no overflow limit; +# no limit will be placed on the total number of concurrent connections. Defaults to ``10``. +sql_alchemy_max_overflow = 10 + +# The SqlAlchemy pool recycle is the number of seconds a connection +# can be idle in the pool before it is invalidated. This config does +# not apply to sqlite. If the number of DB connections is ever exceeded, +# a lower config value will allow the system to recover faster. +sql_alchemy_pool_recycle = 1800 + +# Check connection at the start of each connection pool checkout. +# Typically, this is a simple statement like "SELECT 1". +# More information here: +# https://docs.sqlalchemy.org/en/14/core/pooling.html#disconnect-handling-pessimistic +sql_alchemy_pool_pre_ping = True + +# The schema to use for the metadata database. +# SqlAlchemy supports databases with the concept of multiple schemas. +sql_alchemy_schema = + +# Import path for connect args in SqlAlchemy. Defaults to an empty dict. +# This is useful when you want to configure db engine args that SqlAlchemy won't parse +# in connection string. +# See https://docs.sqlalchemy.org/en/14/core/engines.html#sqlalchemy.create_engine.params.connect_args +# sql_alchemy_connect_args = + +# Whether to load the default connections that ship with Airflow. It's good to +# get started, but you probably want to set this to ``False`` in a production +# environment +load_default_connections = True + +# Number of times the code should be retried in case of DB Operational Errors. +# Not all transactions will be retried as it can cause undesired state. +# Currently it is only used in ``DagFileProcessor.process_file`` to retry ``dagbag.sync_to_db``. +max_db_retries = 3 + +[logging] +# The folder where airflow should store its log files. +# This path must be absolute. +# There are a few existing configurations that assume this is set to the default. +# If you choose to override this you may need to update the dag_processor_manager_log_location and +# dag_processor_manager_log_location settings as well. +base_log_folder = /home/airflow/airflow/logs + +# Airflow can store logs remotely in AWS S3, Google Cloud Storage or Elastic Search. +# Set this to True if you want to enable remote logging. +remote_logging = False + +# Users must supply an Airflow connection id that provides access to the storage +# location. Depending on your remote logging service, this may only be used for +# reading logs, not writing them. +remote_log_conn_id = + +# Path to Google Credential JSON file. If omitted, authorization based on `the Application Default +# Credentials +# `__ will +# be used. +google_key_path = + +# Storage bucket URL for remote logging +# S3 buckets should start with "s3://" +# Cloudwatch log groups should start with "cloudwatch://" +# GCS buckets should start with "gs://" +# WASB buckets should start with "wasb" just to help Airflow select correct handler +# Stackdriver logs should start with "stackdriver://" +remote_base_log_folder = + +# Use server-side encryption for logs stored in S3 +encrypt_s3_logs = False + +# Logging level. +# +# Supported values: ``CRITICAL``, ``ERROR``, ``WARNING``, ``INFO``, ``DEBUG``. +logging_level = INFO + +# Logging level for celery. If not set, it uses the value of logging_level +# +# Supported values: ``CRITICAL``, ``ERROR``, ``WARNING``, ``INFO``, ``DEBUG``. +celery_logging_level = + +# Logging level for Flask-appbuilder UI. +# +# Supported values: ``CRITICAL``, ``ERROR``, ``WARNING``, ``INFO``, ``DEBUG``. +fab_logging_level = WARNING + +# Logging class +# Specify the class that will specify the logging configuration +# This class has to be on the python classpath +# Example: logging_config_class = my.path.default_local_settings.LOGGING_CONFIG +logging_config_class = + +# Flag to enable/disable Colored logs in Console +# Colour the logs when the controlling terminal is a TTY. +colored_console_log = True + +# Log format for when Colored logs is enabled +colored_log_format = [%%(blue)s%%(asctime)s%%(reset)s] {{ '{%' }}%(blue)s%%(filename)s:%%(reset)s%%(lineno)d} %%(log_color)s%%(levelname)s%%(reset)s - %%(log_color)s%%(message)s%%(reset)s +colored_formatter_class = airflow.utils.log.colored_log.CustomTTYColoredFormatter + +# Format of Log line +log_format = [%%(asctime)s] {{ '{%' }}%(filename)s:%%(lineno)d} %%(levelname)s - %%(message)s +simple_log_format = %%(asctime)s %%(levelname)s - %%(message)s + +# Where to send dag parser logs. If "file", logs are sent to log files defined by child_process_log_directory. +dag_processor_log_target = file + +# Format of Dag Processor Log line +dag_processor_log_format = [%%(asctime)s] [SOURCE:DAG_PROCESSOR] {{ '{%' }}%(filename)s:%%(lineno)d} %%(levelname)s - %%(message)s +log_formatter_class = airflow.utils.log.timezone_aware.TimezoneAware + +# Specify prefix pattern like mentioned below with stream handler TaskHandlerWithCustomFormatter +# Example: task_log_prefix_template = {ti.dag_id}-{ti.task_id}-{execution_date}-{try_number} +task_log_prefix_template = + +# Formatting for how airflow generates file names/paths for each task run. +log_filename_template = dag_id={{ '{{' }} ti.dag_id }}/run_id={{ '{{' }} ti.run_id }}/task_id={{ '{{' }} ti.task_id }}/{{ '{%' }}% if ti.map_index >= 0 %%}map_index={{ '{{' }} ti.map_index }}/{{ '{%' }}% endif %%}attempt={{ '{{' }} try_number }}.log + +# Formatting for how airflow generates file names for log +log_processor_filename_template = {{ '{{' }} filename }}.log + +# Full path of dag_processor_manager logfile. +dag_processor_manager_log_location = /home/airflow/airflow/logs/dag_processor_manager/dag_processor_manager.log + +# Name of handler to read task instance logs. +# Defaults to use ``task`` handler. +task_log_reader = task + +# A comma\-separated list of third-party logger names that will be configured to print messages to +# consoles\. +# Example: extra_logger_names = connexion,sqlalchemy +extra_logger_names = + +# When you start an airflow worker, airflow starts a tiny web server +# subprocess to serve the workers local log files to the airflow main +# web server, who then builds pages and sends them to users. This defines +# the port on which the logs are served. It needs to be unused, and open +# visible from the main web server to connect into the workers. +worker_log_server_port = 8793 + +[metrics] + +# StatsD (https://github.com/etsy/statsd) integration settings. +# Enables sending metrics to StatsD. +statsd_on = False +statsd_host = localhost +statsd_port = 8125 +statsd_prefix = airflow + +# If you want to avoid sending all the available metrics to StatsD, +# you can configure an allow list of prefixes (comma separated) to send only the metrics that +# start with the elements of the list (e.g: "scheduler,executor,dagrun") +statsd_allow_list = + +# A function that validate the StatsD stat name, apply changes to the stat name if necessary and return +# the transformed stat name. +# +# The function should have the following signature: +# def func_name(stat_name: str) -> str: +stat_name_handler = + +# To enable datadog integration to send airflow metrics. +statsd_datadog_enabled = False + +# List of datadog tags attached to all metrics(e.g: key1:value1,key2:value2) +statsd_datadog_tags = + +# If you want to utilise your own custom StatsD client set the relevant +# module path below. +# Note: The module path must exist on your PYTHONPATH for Airflow to pick it up +# statsd_custom_client_path = + +[secrets] +# Full class name of secrets backend to enable (will precede env vars and metastore in search path) +# Example: backend = airflow.providers.amazon.aws.secrets.systems_manager.SystemsManagerParameterStoreBackend +backend = + +# The backend_kwargs param is loaded into a dictionary and passed to __init__ of secrets backend class. +# See documentation for the secrets backend you are using. JSON is expected. +# Example for AWS Systems Manager ParameterStore: +# ``{"connections_prefix": "/airflow/connections", "profile_name": "default"}`` +backend_kwargs = + +[cli] +# In what way should the cli access the API. The LocalClient will use the +# database directly, while the json_client will use the api running on the +# webserver +api_client = airflow.api.client.local_client + +# If you set web_server_url_prefix, do NOT forget to append it here, ex: +# ``endpoint_url = http://localhost:8080/myroot`` +# So api will look like: ``http://localhost:8080/myroot/api/experimental/...`` +endpoint_url = http://localhost:8080 + +[debug] +# Used only with ``DebugExecutor``. If set to ``True`` DAG will fail with first +# failed task. Helpful for debugging purposes. +fail_fast = False + +[api] +# Enables the deprecated experimental API. Please note that these APIs do not have access control. +# The authenticated user has full access. +# +# .. warning:: +# +# This `Experimental REST API `__ is +# deprecated since version 2.0. Please consider using +# `the Stable REST API `__. +# For more information on migration, see +# `RELEASE_NOTES.rst `_ +enable_experimental_api = False + +# Comma separated list of auth backends to authenticate users of the API. See +# https://airflow.apache.org/docs/apache-airflow/stable/security/api.html for possible values. +# ("airflow.api.auth.backend.default" allows all requests for historic reasons) +auth_backends = airflow.api.auth.backend.session + +# Used to set the maximum page limit for API requests. If limit passed as param +# is greater than maximum page limit, it will be ignored and maximum page limit value +# will be set as the limit +maximum_page_limit = 100 + +# Used to set the default page limit when limit param is zero or not provided in API +# requests. Otherwise if positive integer is passed in the API requests as limit, the +# smallest number of user given limit or maximum page limit is taken as limit. +fallback_page_limit = 100 + +# The intended audience for JWT token credentials used for authorization. This value must match on the client and server sides. If empty, audience will not be tested. +# Example: google_oauth2_audience = project-id-random-value.apps.googleusercontent.com +google_oauth2_audience = + +# Path to Google Cloud Service Account key file (JSON). If omitted, authorization based on +# `the Application Default Credentials +# `__ will +# be used. +# Example: google_key_path = /files/service-account-json +google_key_path = + +# Used in response to a preflight request to indicate which HTTP +# headers can be used when making the actual request. This header is +# the server side response to the browser's +# Access-Control-Request-Headers header. +access_control_allow_headers = + +# Specifies the method or methods allowed when accessing the resource. +access_control_allow_methods = + +# Indicates whether the response can be shared with requesting code from the given origins. +# Separate URLs with space. +access_control_allow_origins = + +[lineage] +# what lineage backend to use +backend = + +[atlas] +sasl_enabled = False +host = +port = 21000 +username = +password = + +[operators] +# The default owner assigned to each new operator, unless +# provided explicitly or passed via ``default_args`` +default_owner = airflow +default_cpus = 1 +default_ram = 512 +default_disk = 512 +default_gpus = 0 + +# Default queue that tasks get assigned to and that worker listen on. +default_queue = default + +# Is allowed to pass additional/unused arguments (args, kwargs) to the BaseOperator operator. +# If set to False, an exception will be thrown, otherwise only the console message will be displayed. +allow_illegal_arguments = False + +[hive] +# Default mapreduce queue for HiveOperator tasks +default_hive_mapred_queue = + +# Template for mapred_job_name in HiveOperator, supports the following named parameters +# hostname, dag_id, task_id, execution_date +# mapred_job_name_template = + +[webserver] +# The base url of your website as airflow cannot guess what domain or +# cname you are using. This is used in automated emails that +# airflow sends to point links to the right web server +base_url = http://localhost:8080 + +# Default timezone to display all dates in the UI, can be UTC, system, or +# any IANA timezone string (e.g. Europe/Amsterdam). If left empty the +# default value of core/default_timezone will be used +# Example: default_ui_timezone = America/New_York +default_ui_timezone = UTC + +# The ip specified when starting the web server +web_server_host = 0.0.0.0 + +# The port on which to run the web server +web_server_port = 8080 + +# Paths to the SSL certificate and key for the web server. When both are +# provided SSL will be enabled. This does not change the web server port. +web_server_ssl_cert = + +# Paths to the SSL certificate and key for the web server. When both are +# provided SSL will be enabled. This does not change the web server port. +web_server_ssl_key = + +# The type of backend used to store web session data, can be 'database' or 'securecookie' +# Example: session_backend = securecookie +session_backend = database + +# Number of seconds the webserver waits before killing gunicorn master that doesn't respond +web_server_master_timeout = 120 + +# Number of seconds the gunicorn webserver waits before timing out on a worker +web_server_worker_timeout = 120 + +# Number of workers to refresh at a time. When set to 0, worker refresh is +# disabled. When nonzero, airflow periodically refreshes webserver workers by +# bringing up new ones and killing old ones. +worker_refresh_batch_size = 1 + +# Number of seconds to wait before refreshing a batch of workers. +worker_refresh_interval = 6000 + +# If set to True, Airflow will track files in plugins_folder directory. When it detects changes, +# then reload the gunicorn. +reload_on_plugin_change = False + +# Secret key used to run your flask app. It should be as random as possible. However, when running +# more than 1 instances of webserver, make sure all of them use the same ``secret_key`` otherwise +# one of them will error with "CSRF session token is missing". +# The webserver key is also used to authorize requests to Celery workers when logs are retrieved. +# The token generated using the secret key has a short expiry time though - make sure that time on +# ALL the machines that you run airflow components on is synchronized (for example using ntpd) +# otherwise you might get "forbidden" errors when the logs are accessed. +secret_key = 3Os04y0FgKDnMcBjp3F1Ag== + +# Number of workers to run the Gunicorn web server +workers = 4 + +# The worker class gunicorn should use. Choices include +# sync (default), eventlet, gevent. Note when using gevent you might also want to set the +# "_AIRFLOW_PATCH_GEVENT" environment variable to "1" to make sure gevent patching is done as +# early as possible. +worker_class = sync + +# Log files for the gunicorn webserver. '-' means log to stderr. +access_logfile = - + +# Log files for the gunicorn webserver. '-' means log to stderr. +error_logfile = - + +# Access log format for gunicorn webserver. +# default format is %%(h)s %%(l)s %%(u)s %%(t)s "%%(r)s" %%(s)s %%(b)s "%%(f)s" "%%(a)s" +# documentation - https://docs.gunicorn.org/en/stable/settings.html#access-log-format +access_logformat = + +# Expose the configuration file in the web server. Set to "non-sensitive-only" to show all values +# except those that have security implications. "True" shows all values. "False" hides the +# configuration completely. +expose_config = False + +# Expose hostname in the web server +expose_hostname = False + +# Expose stacktrace in the web server +expose_stacktrace = False + +# Default DAG view. Valid values are: ``grid``, ``graph``, ``duration``, ``gantt``, ``landing_times`` +dag_default_view = grid + +# Default DAG orientation. Valid values are: +# ``LR`` (Left->Right), ``TB`` (Top->Bottom), ``RL`` (Right->Left), ``BT`` (Bottom->Top) +dag_orientation = LR + +# The amount of time (in secs) webserver will wait for initial handshake +# while fetching logs from other worker machine +log_fetch_timeout_sec = 5 + +# Time interval (in secs) to wait before next log fetching. +log_fetch_delay_sec = 2 + +# Distance away from page bottom to enable auto tailing. +log_auto_tailing_offset = 30 + +# Animation speed for auto tailing log display. +log_animation_speed = 1000 + +# By default, the webserver shows paused DAGs. Flip this to hide paused +# DAGs by default +hide_paused_dags_by_default = False + +# Consistent page size across all listing views in the UI +page_size = 100 + +# Define the color of navigation bar +navbar_color = #fff + +# Default dagrun to show in UI +default_dag_run_display_number = 25 + +# Enable werkzeug ``ProxyFix`` middleware for reverse proxy +enable_proxy_fix = False + +# Number of values to trust for ``X-Forwarded-For``. +# More info: https://werkzeug.palletsprojects.com/en/0.16.x/middleware/proxy_fix/ +proxy_fix_x_for = 1 + +# Number of values to trust for ``X-Forwarded-Proto`` +proxy_fix_x_proto = 1 + +# Number of values to trust for ``X-Forwarded-Host`` +proxy_fix_x_host = 1 + +# Number of values to trust for ``X-Forwarded-Port`` +proxy_fix_x_port = 1 + +# Number of values to trust for ``X-Forwarded-Prefix`` +proxy_fix_x_prefix = 1 + +# Set secure flag on session cookie +cookie_secure = False + +# Set samesite policy on session cookie +cookie_samesite = Lax + +# Default setting for wrap toggle on DAG code and TI log views. +default_wrap = False + +# Allow the UI to be rendered in a frame +x_frame_enabled = True + +# Send anonymous user activity to your analytics tool +# choose from google_analytics, segment, or metarouter +# analytics_tool = + +# Unique ID of your account in the analytics tool +# analytics_id = + +# 'Recent Tasks' stats will show for old DagRuns if set +show_recent_stats_for_completed_runs = True + +# Update FAB permissions and sync security manager roles +# on webserver startup +update_fab_perms = True + +# The UI cookie lifetime in minutes. User will be logged out from UI after +# ``session_lifetime_minutes`` of non-activity +session_lifetime_minutes = 43200 + +# Sets a custom page title for the DAGs overview page and site title for all pages +# instance_name = + +# Whether the custom page title for the DAGs overview page contains any Markup language +instance_name_has_markup = False + +# How frequently, in seconds, the DAG data will auto-refresh in graph or grid view +# when auto-refresh is turned on +auto_refresh_interval = 3 + +# Boolean for displaying warning for publicly viewable deployment +warn_deployment_exposure = True + +# Comma separated string of view events to exclude from dag audit view. +# All other events will be added minus the ones passed here. +# The audit logs in the db will not be affected by this parameter. +audit_view_excluded_events = gantt,landing_times,tries,duration,calendar,graph,grid,tree,tree_data + +# Comma separated string of view events to include in dag audit view. +# If passed, only these events will populate the dag audit view. +# The audit logs in the db will not be affected by this parameter. +# Example: audit_view_included_events = dagrun_cleared,failed +# audit_view_included_events = + +[email] + +# Configuration email backend and whether to +# send email alerts on retry or failure +# Email backend to use +email_backend = airflow.utils.email.send_email_smtp + +# Email connection to use +email_conn_id = smtp_default + +# Whether email alerts should be sent when a task is retried +default_email_on_retry = True + +# Whether email alerts should be sent when a task failed +default_email_on_failure = True + +# File that will be used as the template for Email subject (which will be rendered using Jinja2). +# If not set, Airflow uses a base template. +# Example: subject_template = /path/to/my_subject_template_file +# subject_template = + +# File that will be used as the template for Email content (which will be rendered using Jinja2). +# If not set, Airflow uses a base template. +# Example: html_content_template = /path/to/my_html_content_template_file +# html_content_template = + +# Email address that will be used as sender address. +# It can either be raw email or the complete address in a format ``Sender Name `` +# Example: from_email = Airflow +# from_email = + +[smtp] + +# If you want airflow to send emails on retries, failure, and you want to use +# the airflow.utils.email.send_email_smtp function, you have to configure an +# smtp server here +smtp_host = localhost +smtp_starttls = True +smtp_ssl = False +# Example: smtp_user = airflow +# smtp_user = +# Example: smtp_password = airflow +# smtp_password = +smtp_port = 25 +smtp_mail_from = airflow@example.com +smtp_timeout = 30 +smtp_retry_limit = 5 + +[sentry] + +# Sentry (https://docs.sentry.io) integration. Here you can supply +# additional configuration options based on the Python platform. See: +# https://docs.sentry.io/error-reporting/configuration/?platform=python. +# Unsupported options: ``integrations``, ``in_app_include``, ``in_app_exclude``, +# ``ignore_errors``, ``before_breadcrumb``, ``transport``. +# Enable error reporting to Sentry +sentry_on = false +sentry_dsn = + +# Dotted path to a before_send function that the sentry SDK should be configured to use. +# before_send = + +[local_kubernetes_executor] + +# This section only applies if you are using the ``LocalKubernetesExecutor`` in +# ``[core]`` section above +# Define when to send a task to ``KubernetesExecutor`` when using ``LocalKubernetesExecutor``. +# When the queue of a task is the value of ``kubernetes_queue`` (default ``kubernetes``), +# the task is executed via ``KubernetesExecutor``, +# otherwise via ``LocalExecutor`` +kubernetes_queue = kubernetes + +[celery_kubernetes_executor] + +# This section only applies if you are using the ``CeleryKubernetesExecutor`` in +# ``[core]`` section above +# Define when to send a task to ``KubernetesExecutor`` when using ``CeleryKubernetesExecutor``. +# When the queue of a task is the value of ``kubernetes_queue`` (default ``kubernetes``), +# the task is executed via ``KubernetesExecutor``, +# otherwise via ``CeleryExecutor`` +kubernetes_queue = kubernetes + +[celery] + +# This section only applies if you are using the CeleryExecutor in +# ``[core]`` section above +# The app name that will be used by celery +celery_app_name = airflow.executors.celery_executor + +# The concurrency that will be used when starting workers with the +# ``airflow celery worker`` command. This defines the number of task instances that +# a worker will take, so size up your workers based on the resources on +# your worker box and the nature of your tasks +worker_concurrency = 16 + +# The maximum and minimum concurrency that will be used when starting workers with the +# ``airflow celery worker`` command (always keep minimum processes, but grow +# to maximum if necessary). Note the value should be max_concurrency,min_concurrency +# Pick these numbers based on resources on worker box and the nature of the task. +# If autoscale option is available, worker_concurrency will be ignored. +# http://docs.celeryproject.org/en/latest/reference/celery.bin.worker.html#cmdoption-celery-worker-autoscale +# Example: worker_autoscale = 16,12 +# worker_autoscale = + +# Used to increase the number of tasks that a worker prefetches which can improve performance. +# The number of processes multiplied by worker_prefetch_multiplier is the number of tasks +# that are prefetched by a worker. A value greater than 1 can result in tasks being unnecessarily +# blocked if there are multiple workers and one worker prefetches tasks that sit behind long +# running tasks while another worker has unutilized processes that are unable to process the already +# claimed blocked tasks. +# https://docs.celeryproject.org/en/stable/userguide/optimizing.html#prefetch-limits +worker_prefetch_multiplier = 1 + +# Specify if remote control of the workers is enabled. +# In some cases when the broker does not support remote control, Celery creates lots of +# ``.*reply-celery-pidbox`` queues. You can prevent this by setting this to false. +# However, with this disabled Flower won't work. +# https://docs.celeryq.dev/en/stable/getting-started/backends-and-brokers/index.html#broker-overview +worker_enable_remote_control = true + +# The Celery broker URL. Celery supports RabbitMQ, Redis and experimentally +# a sqlalchemy database. Refer to the Celery documentation for more information. +broker_url = redis://redis:6379/0 + +# The Celery result_backend. When a job finishes, it needs to update the +# metadata of the job. Therefore it will post a message on a message bus, +# or insert it into a database (depending of the backend) +# This status is used by the scheduler to update the state of the task +# The use of a database is highly recommended +# When not specified, sql_alchemy_conn with a db+ scheme prefix will be used +# http://docs.celeryproject.org/en/latest/userguide/configuration.html#task-result-backend-settings +# Example: result_backend = db+postgresql://postgres:airflow@postgres/airflow +# result_backend = + +# Celery Flower is a sweet UI for Celery. Airflow has a shortcut to start +# it ``airflow celery flower``. This defines the IP that Celery Flower runs on +flower_host = 0.0.0.0 + +# The root URL for Flower +# Example: flower_url_prefix = /flower +flower_url_prefix = + +# This defines the port that Celery Flower runs on +flower_port = 5555 + +# Securing Flower with Basic Authentication +# Accepts user:password pairs separated by a comma +# Example: flower_basic_auth = user1:password1,user2:password2 +flower_basic_auth = + +# How many processes CeleryExecutor uses to sync task state. +# 0 means to use max(1, number of cores - 1) processes. +sync_parallelism = 0 + +# Import path for celery configuration options +celery_config_options = airflow.config_templates.default_celery.DEFAULT_CELERY_CONFIG +ssl_active = False +ssl_key = +ssl_cert = +ssl_cacert = + +# Celery Pool implementation. +# Choices include: ``prefork`` (default), ``eventlet``, ``gevent`` or ``solo``. +# See: +# https://docs.celeryproject.org/en/latest/userguide/workers.html#concurrency +# https://docs.celeryproject.org/en/latest/userguide/concurrency/eventlet.html +pool = prefork + +# The number of seconds to wait before timing out ``send_task_to_executor`` or +# ``fetch_celery_task_state`` operations. +operation_timeout = 1.0 + +# Celery task will report its status as 'started' when the task is executed by a worker. +# This is used in Airflow to keep track of the running tasks and if a Scheduler is restarted +# or run in HA mode, it can adopt the orphan tasks launched by previous SchedulerJob. +task_track_started = True + +# Time in seconds after which adopted tasks which are queued in celery are assumed to be stalled, +# and are automatically rescheduled. This setting does the same thing as ``stalled_task_timeout`` but +# applies specifically to adopted tasks only. When set to 0, the ``stalled_task_timeout`` setting +# also applies to adopted tasks. To calculate adoption time, subtract the +# :ref:`task duration` from the task's :ref:`landing time`. +task_adoption_timeout = 600 + +# Time in seconds after which tasks queued in celery are assumed to be stalled, and are automatically +# rescheduled. Adopted tasks will instead use the ``task_adoption_timeout`` setting if specified. +# When set to 0, automatic clearing of stalled tasks is disabled. +stalled_task_timeout = 0 + +# The Maximum number of retries for publishing task messages to the broker when failing +# due to ``AirflowTaskTimeout`` error before giving up and marking Task as failed. +task_publish_max_retries = 3 + +# Worker initialisation check to validate Metadata Database connection +worker_precheck = False + +[celery_broker_transport_options] + +# This section is for specifying options which can be passed to the +# underlying celery broker transport. See: +# http://docs.celeryproject.org/en/latest/userguide/configuration.html#std:setting-broker_transport_options +# The visibility timeout defines the number of seconds to wait for the worker +# to acknowledge the task before the message is redelivered to another worker. +# Make sure to increase the visibility timeout to match the time of the longest +# ETA you're planning to use. +# visibility_timeout is only supported for Redis and SQS celery brokers. +# See: +# http://docs.celeryproject.org/en/master/userguide/configuration.html#std:setting-broker_transport_options +# Example: visibility_timeout = 21600 +# visibility_timeout = + +[dask] + +# This section only applies if you are using the DaskExecutor in +# [core] section above +# The IP address and port of the Dask cluster's scheduler. +cluster_address = 127.0.0.1:8786 + +# TLS/ SSL settings to access a secured Dask scheduler. +tls_ca = +tls_cert = +tls_key = + +[scheduler] +# Task instances listen for external kill signal (when you clear tasks +# from the CLI or the UI), this defines the frequency at which they should +# listen (in seconds). +job_heartbeat_sec = 5 + +# The scheduler constantly tries to trigger new tasks (look at the +# scheduler section in the docs for more information). This defines +# how often the scheduler should run (in seconds). +scheduler_heartbeat_sec = 5 + +# The number of times to try to schedule each DAG file +# -1 indicates unlimited number +num_runs = -1 + +# Controls how long the scheduler will sleep between loops, but if there was nothing to do +# in the loop. i.e. if it scheduled something then it will start the next loop +# iteration straight away. +scheduler_idle_sleep_time = 1 + +# Number of seconds after which a DAG file is parsed. The DAG file is parsed every +# ``min_file_process_interval`` number of seconds. Updates to DAGs are reflected after +# this interval. Keeping this number low will increase CPU usage. +min_file_process_interval = 30 + +# How often (in seconds) to check for stale DAGs (DAGs which are no longer present in +# the expected files) which should be deactivated, as well as datasets that are no longer +# referenced and should be marked as orphaned. +parsing_cleanup_interval = 60 + +# How often (in seconds) to scan the DAGs directory for new files. Default to 5 minutes. +dag_dir_list_interval = 300 + +# How often should stats be printed to the logs. Setting to 0 will disable printing stats +print_stats_interval = 30 + +# How often (in seconds) should pool usage stats be sent to StatsD (if statsd_on is enabled) +pool_metrics_interval = 5.0 + +# If the last scheduler heartbeat happened more than scheduler_health_check_threshold +# ago (in seconds), scheduler is considered unhealthy. +# This is used by the health check in the "/health" endpoint +scheduler_health_check_threshold = 30 + +# When you start a scheduler, airflow starts a tiny web server +# subprocess to serve a health check if this is set to True +enable_health_check = False + +# When you start a scheduler, airflow starts a tiny web server +# subprocess to serve a health check on this port +scheduler_health_check_server_port = 8974 + +# How often (in seconds) should the scheduler check for orphaned tasks and SchedulerJobs +orphaned_tasks_check_interval = 300.0 +child_process_log_directory = /home/airflow/airflow/logs/scheduler + +# Local task jobs periodically heartbeat to the DB. If the job has +# not heartbeat in this many seconds, the scheduler will mark the +# associated task instance as failed and will re-schedule the task. +scheduler_zombie_task_threshold = 300 + +# How often (in seconds) should the scheduler check for zombie tasks. +zombie_detection_interval = 10.0 + +# Turn off scheduler catchup by setting this to ``False``. +# Default behavior is unchanged and +# Command Line Backfills still work, but the scheduler +# will not do scheduler catchup if this is ``False``, +# however it can be set on a per DAG basis in the +# DAG definition (catchup) +catchup_by_default = True + +# Setting this to True will make first task instance of a task +# ignore depends_on_past setting. A task instance will be considered +# as the first task instance of a task when there is no task instance +# in the DB with an execution_date earlier than it., i.e. no manual marking +# success will be needed for a newly added task to be scheduled. +ignore_first_depends_on_past_by_default = True + +# This changes the batch size of queries in the scheduling main loop. +# If this is too high, SQL query performance may be impacted by +# complexity of query predicate, and/or excessive locking. +# Additionally, you may hit the maximum allowable query length for your db. +# Set this to 0 for no limit (not advised) +max_tis_per_query = 512 + +# Should the scheduler issue ``SELECT ... FOR UPDATE`` in relevant queries. +# If this is set to False then you should not run more than a single +# scheduler at once +use_row_level_locking = True + +# Max number of DAGs to create DagRuns for per scheduler loop. +max_dagruns_to_create_per_loop = 10 + +# How many DagRuns should a scheduler examine (and lock) when scheduling +# and queuing tasks. +max_dagruns_per_loop_to_schedule = 20 + +# Should the Task supervisor process perform a "mini scheduler" to attempt to schedule more tasks of the +# same DAG. Leaving this on will mean tasks in the same DAG execute quicker, but might starve out other +# dags in some circumstances +schedule_after_task_execution = True + +# The scheduler can run multiple processes in parallel to parse dags. +# This defines how many processes will run. +parsing_processes = 2 + +# One of ``modified_time``, ``random_seeded_by_host`` and ``alphabetical``. +# The scheduler will list and sort the dag files to decide the parsing order. +# +# * ``modified_time``: Sort by modified time of the files. This is useful on large scale to parse the +# recently modified DAGs first. +# * ``random_seeded_by_host``: Sort randomly across multiple Schedulers but with same order on the +# same host. This is useful when running with Scheduler in HA mode where each scheduler can +# parse different DAG files. +# * ``alphabetical``: Sort by filename +file_parsing_sort_mode = modified_time + +# Whether the dag processor is running as a standalone process or it is a subprocess of a scheduler +# job. +standalone_dag_processor = False + +# Only applicable if `[scheduler]standalone_dag_processor` is true and callbacks are stored +# in database. Contains maximum number of callbacks that are fetched during a single loop. +max_callbacks_per_loop = 20 + +# Only applicable if `[scheduler]standalone_dag_processor` is true. +# Time in seconds after which dags, which were not updated by Dag Processor are deactivated. +dag_stale_not_seen_duration = 600 + +# Turn off scheduler use of cron intervals by setting this to False. +# DAGs submitted manually in the web UI or with trigger_dag will still run. +use_job_schedule = True + +# Allow externally triggered DagRuns for Execution Dates in the future +# Only has effect if schedule_interval is set to None in DAG +allow_trigger_in_future = False + +# How often to check for expired trigger requests that have not run yet. +trigger_timeout_check_interval = 15 + +[triggerer] +# How many triggers a single Triggerer will run at once, by default. +default_capacity = 1000 + +[kerberos] +ccache = /tmp/airflow_krb5_ccache + +# gets augmented with fqdn +principal = airflow +reinit_frequency = 3600 +kinit_path = kinit +keytab = airflow.keytab + +# Allow to disable ticket forwardability. +forwardable = True + +# Allow to remove source IP from token, useful when using token behind NATted Docker host. +include_ip = True + +[elasticsearch] +# Elasticsearch host +host = + +# Format of the log_id, which is used to query for a given tasks logs +log_id_template = {dag_id}-{task_id}-{run_id}-{map_index}-{try_number} + +# Used to mark the end of a log stream for a task +end_of_log_mark = end_of_log + +# Qualified URL for an elasticsearch frontend (like Kibana) with a template argument for log_id +# Code will construct log_id using the log_id template from the argument above. +# NOTE: scheme will default to https if one is not provided +# Example: frontend = http://localhost:5601/app/kibana#/discover?_a=(columns:!(message),query:(language:kuery,query:'log_id: "{log_id}"'),sort:!(log.offset,asc)) +frontend = + +# Write the task logs to the stdout of the worker, rather than the default files +write_stdout = False + +# Instead of the default log formatter, write the log lines as JSON +json_format = False + +# Log fields to also attach to the json output, if enabled +json_fields = asctime, filename, lineno, levelname, message + +# The field where host name is stored (normally either `host` or `host.name`) +host_field = host + +# The field where offset is stored (normally either `offset` or `log.offset`) +offset_field = offset + +[elasticsearch_configs] +use_ssl = False +verify_certs = True + +[kubernetes_executor] +# Path to the YAML pod file that forms the basis for KubernetesExecutor workers. +pod_template_file = + +# The repository of the Kubernetes Image for the Worker to Run +worker_container_repository = + +# The tag of the Kubernetes Image for the Worker to Run +worker_container_tag = + +# The Kubernetes namespace where airflow workers should be created. Defaults to ``default`` +namespace = default + +# If True, all worker pods will be deleted upon termination +delete_worker_pods = True + +# If False (and delete_worker_pods is True), +# failed worker pods will not be deleted so users can investigate them. +# This only prevents removal of worker pods where the worker itself failed, +# not when the task it ran failed. +delete_worker_pods_on_failure = False + +# Number of Kubernetes Worker Pod creation calls per scheduler loop. +# Note that the current default of "1" will only launch a single pod +# per-heartbeat. It is HIGHLY recommended that users increase this +# number to match the tolerance of their kubernetes cluster for +# better performance. +worker_pods_creation_batch_size = 1 + +# Allows users to launch pods in multiple namespaces. +# Will require creating a cluster-role for the scheduler +multi_namespace_mode = False + +# Use the service account kubernetes gives to pods to connect to kubernetes cluster. +# It's intended for clients that expect to be running inside a pod running on kubernetes. +# It will raise an exception if called from a process not running in a kubernetes environment. +in_cluster = True + +# When running with in_cluster=False change the default cluster_context or config_file +# options to Kubernetes client. Leave blank these to use default behaviour like ``kubectl`` has. +# cluster_context = + +# Path to the kubernetes configfile to be used when ``in_cluster`` is set to False +# config_file = + +# Keyword parameters to pass while calling a kubernetes client core_v1_api methods +# from Kubernetes Executor provided as a single line formatted JSON dictionary string. +# List of supported params are similar for all core_v1_apis, hence a single config +# variable for all apis. See: +# https://raw.githubusercontent.com/kubernetes-client/python/41f11a09995efcd0142e25946adc7591431bfb2f/kubernetes/client/api/core_v1_api.py +kube_client_request_args = + +# Optional keyword arguments to pass to the ``delete_namespaced_pod`` kubernetes client +# ``core_v1_api`` method when using the Kubernetes Executor. +# This should be an object and can contain any of the options listed in the ``v1DeleteOptions`` +# class defined here: +# https://github.com/kubernetes-client/python/blob/41f11a09995efcd0142e25946adc7591431bfb2f/kubernetes/client/models/v1_delete_options.py#L19 +# Example: delete_option_kwargs = {"grace_period_seconds": 10} +delete_option_kwargs = + +# Enables TCP keepalive mechanism. This prevents Kubernetes API requests to hang indefinitely +# when idle connection is time-outed on services like cloud load balancers or firewalls. +enable_tcp_keepalive = True + +# When the `enable_tcp_keepalive` option is enabled, TCP probes a connection that has +# been idle for `tcp_keep_idle` seconds. +tcp_keep_idle = 120 + +# When the `enable_tcp_keepalive` option is enabled, if Kubernetes API does not respond +# to a keepalive probe, TCP retransmits the probe after `tcp_keep_intvl` seconds. +tcp_keep_intvl = 30 + +# When the `enable_tcp_keepalive` option is enabled, if Kubernetes API does not respond +# to a keepalive probe, TCP retransmits the probe `tcp_keep_cnt number` of times before +# a connection is considered to be broken. +tcp_keep_cnt = 6 + +# Set this to false to skip verifying SSL certificate of Kubernetes python client. +verify_ssl = True + +# How long in seconds a worker can be in Pending before it is considered a failure +worker_pods_pending_timeout = 300 + +# How often in seconds to check if Pending workers have exceeded their timeouts +worker_pods_pending_timeout_check_interval = 120 + +# How often in seconds to check for task instances stuck in "queued" status without a pod +worker_pods_queued_check_interval = 60 + +# How many pending pods to check for timeout violations in each check interval. +# You may want this higher if you have a very large cluster and/or use ``multi_namespace_mode``. +worker_pods_pending_timeout_batch_size = 100 + +[sensors] +# Sensor default timeout, 7 days by default (7 * 24 * 60 * 60). +default_timeout = 604800 \ No newline at end of file diff --git a/templates/airflow.service.j2 b/templates/airflow.service.j2 new file mode 100644 index 0000000..86db620 --- /dev/null +++ b/templates/airflow.service.j2 @@ -0,0 +1,13 @@ +[Unit] +Description=Apache Airflow + +[Service] +User=airflow +Group=airflow +Type=simple +ExecStart=/usr/local/bin/airflow standalone +Restart=on-failure +RestartSec=10s + +[Install] +WantedBy=multi-user.target \ No newline at end of file