![]() ![]() But regarding 'it must be a little bit overhead to constantly create and remove the same container instead of using an existing one' I want to say that docker compose up will also remove the existing container and create a new one. For parameter definition take a look at SparkSqlOperator. I have the same issue as you do regarding the duplication of the settings from the compose file. As you used the puckel ready container you don’t need to create a docker-compose file by yourselves. To obtain this Docker image, you must run the following command: docker pull puckel/docker-airflow. The operator will run the SQL query on Spark Hive metastore service, the sql parameter can be templated and be a. So you will use this pre-made container for running Airflow in Docker DAGs. If I run the DAG the container starts and sleeps for 30 seconds. Launches applications on a Apache Spark server, it requires that the spark-sql script is in the PATH. Using apache airflow docker operator with rootless docker. Simply head over to the official Docker site and download the appropriate installation file for your OS. Since we will use docker-compose to get Airflow up and running, we have to install Docker first. I changed the task configuration to: t3 = DockerOperator(ĭocker_url="tcp://myhost:2376", # Set your docker URLĪPI versions below 1.21 are not supported anymore, because of this this is commented. FROM puckel/docker-airflow:1.10.9 USER root RUN mkdir -p /usr/share/man/man1 RUN apt-get update & apt-get install -y default-jdk & apt-get clean USER airflow. Now that we shortly introduced Apache Airflow, it’s time to get started. ![]() You can see detailed examples of using in Taskflow Docker example and .operators.pod. DockerOperator (, image, apiversion None, command None, containername None, cpus 1.0, dockerurl unix://var/run/docker. in order to author a DAG that uses those operators. I’m running Airflow 2.0.0 with docker image from dockerhub (tested apache/airflow:2.0.0-python3.8 and apache/airflow:2.0.0). class (image, apiversionNone, commandNone, cpus1.0, dockerurlunix://var/run/docker. The abstraction provided by those two are leaky, so you need to understand a bit more about resources, networking, containers etc. ![]()
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