Adding airflow and datalake

.gitignore

@@ -160,3 +160,12 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
+
+# Ignore unecessary files in Airflow
+*.parquet
+airflow/logs
+airflow/plugins
+airflow/data
+datastorage/datalake/minio_storage
+datastorage/kafka_connect
+utils

Makefile

@@ -0,0 +1,11 @@
+datalake_up:
+	docker compose -f datalake/minio_docker-compose.yml up -d
+datalake_down:
+	docker compose -f datalake/minio_docker-compose.yml down
+datalake_restart:
+	docker compose -f datalake/minio_docker-compose.yml down
+	docker compose -f datalake/minio_docker-compose.yml up -d
+airflow_up:
+	docker compose -f airflow-docker-compose.yaml up -d
+airflow_down:
+	docker compose -f airflow-docker-compose.yaml down

airflow-docker-compose.yaml

@@ -0,0 +1,299 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+#
+
+# Basic Airflow cluster configuration for CeleryExecutor with Redis and PostgreSQL.
+#
+# WARNING: This configuration is for local development. Do not use it in a production deployment.
+#
+# This configuration supports basic configuration using environment variables or an .env file
+# The following variables are supported:
+#
+# AIRFLOW_IMAGE_NAME           - Docker image name used to run Airflow.
+#                                Default: apache/airflow:2.7.1
+# AIRFLOW_UID                  - User ID in Airflow containers
+#                                Default: 50000
+# AIRFLOW_PROJ_DIR             - Base path to which all the files will be volumed.
+#                                Default: .
+# Those configurations are useful mostly in case of standalone testing/running Airflow in test/try-out mode
+#
+# _AIRFLOW_WWW_USER_USERNAME   - Username for the administrator account (if requested).
+#                                Default: airflow
+# _AIRFLOW_WWW_USER_PASSWORD   - Password for the administrator account (if requested).
+#                                Default: airflow
+# _PIP_ADDITIONAL_REQUIREMENTS - Additional PIP requirements to add when starting all containers.
+#                                Use this option ONLY for quick checks. Installing requirements at container
+#                                startup is done EVERY TIME the service is started.
+#                                A better way is to build a custom image or extend the official image
+#                                as described in https://airflow.apache.org/docs/docker-stack/build.html.
+#                                Default: ''
+#
+# Feel free to modify this file to suit your needs.
+---
+version: "3.8"
+x-airflow-common: &airflow-common
+  # In order to add custom dependencies or upgrade provider packages you can use your extended image.
+  # Comment the image line, place your Dockerfile in the directory where you placed the docker-compose.yaml
+  # and uncomment the "build" line below, Then run `docker-compose build` to build the images.
+  # image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.7.1}
+  build: ./airflow
+  environment: &airflow-common-env
+    AIRFLOW__CORE__EXECUTOR: CeleryExecutor
+    AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
+    # For backward compatibility, with Airflow <2.3
+    AIRFLOW__CORE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
+    AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow
+    AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0
+    AIRFLOW__CORE__FERNET_KEY: ""
+    AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: "true"
+    AIRFLOW__CORE__LOAD_EXAMPLES: "false"
+    AIRFLOW__API__AUTH_BACKENDS: "airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session"
+    # yamllint disable rule:line-length
+    # Use simple http server on scheduler for health checks
+    # See https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/check-health.html#scheduler-health-check-server
+    # yamllint enable rule:line-length
+    AIRFLOW__SCHEDULER__ENABLE_HEALTH_CHECK: "true"
+    # WARNING: Use _PIP_ADDITIONAL_REQUIREMENTS option ONLY for a quick checks
+    # for other purpose (development, test and especially production usage) build/extend Airflow image.
+    _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-}
+  volumes:
+    - ${AIRFLOW_PROJ_DIR:-.}/dags:/opt/airflow/dags
+    - ${AIRFLOW_PROJ_DIR:-.}/logs:/opt/airflow/logs
+    - ${AIRFLOW_PROJ_DIR:-.}/config:/opt/airflow/config
+    - ${AIRFLOW_PROJ_DIR:-.}/include:/opt/airflow/include
+    - ${AIRFLOW_PROJ_DIR:-.}/data:/opt/airflow/data
+    - ${AIRFLOW_PROJ_DIR:-.}/plugins:/opt/airflow/plugins
+  user: "${AIRFLOW_UID:-50000}:0"
+  depends_on: &airflow-common-depends-on
+    redis:
+      condition: service_healthy
+    postgres:
+      condition: service_healthy
+
+services:
+  postgres:
+    image: postgres:13
+    container_name: airflow-postgres
+    environment:
+      POSTGRES_USER: airflow
+      POSTGRES_PASSWORD: airflow
+      POSTGRES_DB: airflow
+    volumes:
+      - postgres-db-volume:/var/lib/postgresql/data
+    ports:
+      - "5432:5432"
+    healthcheck:
+      test: ["CMD", "pg_isready", "-U", "airflow"]
+      interval: 10s
+      retries: 5
+      start_period: 5s
+
+  redis:
+    image: redis:latest
+    container_name: airflow-redis
+    expose:
+      - 6379
+    healthcheck:
+      test: ["CMD", "redis-cli", "ping"]
+      interval: 10s
+      timeout: 30s
+      retries: 50
+      start_period: 30s
+
+  airflow-webserver:
+    <<: *airflow-common
+    container_name: airflow-webserver
+    command: webserver
+    ports:
+      - "8080:8080"
+    healthcheck:
+      test: ["CMD", "curl", "--fail", "http://localhost:8080/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 5
+      start_period: 30s
+    depends_on:
+      <<: *airflow-common-depends-on
+      airflow-init:
+        condition: service_completed_successfully
+
+  airflow-scheduler:
+    <<: *airflow-common
+    container_name: airflow-scheduler
+    command: scheduler
+    healthcheck:
+      test: ["CMD", "curl", "--fail", "http://localhost:8974/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 5
+      start_period: 30s
+    depends_on:
+      <<: *airflow-common-depends-on
+      airflow-init:
+        condition: service_completed_successfully
+
+  airflow-worker:
+    <<: *airflow-common
+    container_name: airflow-worker
+    command: celery worker
+    healthcheck:
+      # yamllint disable rule:line-length
+      test:
+        - "CMD-SHELL"
+        - 'celery --app airflow.providers.celery.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}" || celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"'
+      interval: 30s
+      timeout: 10s
+      retries: 5
+      start_period: 30s
+    environment:
+      <<: *airflow-common-env
+      # Required to handle warm shutdown of the celery workers properly
+      # See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation
+      DUMB_INIT_SETSID: "0"
+    depends_on:
+      <<: *airflow-common-depends-on
+      airflow-init:
+        condition: service_completed_successfully
+
+  airflow-triggerer:
+    <<: *airflow-common
+    container_name: airflow-triggerer
+    command: triggerer
+    healthcheck:
+      test:
+        [
+          "CMD-SHELL",
+          'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"',
+        ]
+      interval: 30s
+      timeout: 10s
+      retries: 5
+      start_period: 30s
+    depends_on:
+      <<: *airflow-common-depends-on
+      airflow-init:
+        condition: service_completed_successfully
+
+  airflow-init:
+    <<: *airflow-common
+    entrypoint: /bin/bash
+    # yamllint disable rule:line-length
+    container_name: airflow-init
+    command:
+      - -c
+      - |
+        function ver() {
+          printf "%04d%04d%04d%04d" $${1//./ }
+        }
+        airflow_version=$$(AIRFLOW__LOGGING__LOGGING_LEVEL=INFO && gosu airflow airflow version)
+        airflow_version_comparable=$$(ver $${airflow_version})
+        min_airflow_version=2.2.0
+        min_airflow_version_comparable=$$(ver $${min_airflow_version})
+        if (( airflow_version_comparable < min_airflow_version_comparable )); then
+          echo
+          echo -e "\033[1;31mERROR!!!: Too old Airflow version $${airflow_version}!\e[0m"
+          echo "The minimum Airflow version supported: $${min_airflow_version}. Only use this or higher!"
+          echo
+          exit 1
+        fi
+        if [[ -z "${AIRFLOW_UID}" ]]; then
+          echo
+          echo -e "\033[1;33mWARNING!!!: AIRFLOW_UID not set!\e[0m"
+          echo "If you are on Linux, you SHOULD follow the instructions below to set "
+          echo "AIRFLOW_UID environment variable, otherwise files will be owned by root."
+          echo "For other operating systems you can get rid of the warning with manually created .env file:"
+          echo "    See: https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#setting-the-right-airflow-user"
+          echo
+        fi
+        one_meg=1048576
+        mem_available=$$(($$(getconf _PHYS_PAGES) * $$(getconf PAGE_SIZE) / one_meg))
+        cpus_available=$$(grep -cE 'cpu[0-9]+' /proc/stat)
+        disk_available=$$(df / | tail -1 | awk '{print $$4}')
+        warning_resources="false"
+        if (( mem_available < 4000 )) ; then
+          echo
+          echo -e "\033[1;33mWARNING!!!: Not enough memory available for Docker.\e[0m"
+          echo "At least 4GB of memory required. You have $$(numfmt --to iec $$((mem_available * one_meg)))"
+          echo
+          warning_resources="true"
+        fi
+        if (( cpus_available < 2 )); then
+          echo
+          echo -e "\033[1;33mWARNING!!!: Not enough CPUS available for Docker.\e[0m"
+          echo "At least 2 CPUs recommended. You have $${cpus_available}"
+          echo
+          warning_resources="true"
+        fi
+        if (( disk_available < one_meg * 10 )); then
+          echo
+          echo -e "\033[1;33mWARNING!!!: Not enough Disk space available for Docker.\e[0m"
+          echo "At least 10 GBs recommended. You have $$(numfmt --to iec $$((disk_available * 1024 )))"
+          echo
+          warning_resources="true"
+        fi
+        if [[ $${warning_resources} == "true" ]]; then
+          echo
+          echo -e "\033[1;33mWARNING!!!: You have not enough resources to run Airflow (see above)!\e[0m"
+          echo "Please follow the instructions to increase amount of resources available:"
+          echo "   https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#before-you-begin"
+          echo
+        fi
+        mkdir -p /sources/logs /sources/dags /sources/plugins
+        chown -R "${AIRFLOW_UID}:0" /sources/{logs,dags,plugins}
+        exec /entrypoint airflow version
+    # yamllint enable rule:line-length
+    environment:
+      <<: *airflow-common-env
+      _AIRFLOW_DB_MIGRATE: "true"
+      _AIRFLOW_WWW_USER_CREATE: "true"
+      _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow}
+      _AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow}
+      _PIP_ADDITIONAL_REQUIREMENTS: ""
+    user: "0:0"
+    volumes:
+      - ${AIRFLOW_PROJ_DIR:-.}:/sources
+
+  airflow-cli:
+    <<: *airflow-common
+    container_name: airflow-cli
+    profiles:
+      - debug
+    environment:
+      <<: *airflow-common-env
+      CONNECTION_CHECK_MAX_COUNT: "0"
+    # Workaround for entrypoint issue. See: https://github.com/apache/airflow/issues/16252
+    command:
+      - bash
+      - -c
+      - airflow
+
+  # Fix permission denied when using DockerOperator in Airflow
+  # Ref: https://onedevblog.com/how-to-fix-a-permission-denied-when-using-dockeroperator-in-airflow/
+  docker-proxy:
+    image: tecnativa/docker-socket-proxy:0.1.1
+    container_name: airflow-docker-proxy
+    command: "TCP4-LISTEN:2375,fork,reuseaddr UNIX-CONNECT:/var/run/docker.sock"
+    ports:
+      - "2376:2375"
+    volumes:
+      - /var/run/docker.sock:/var/run/docker.sock
+
+volumes:
+  postgres-db-volume:
+# networks:
+#   nyc_network:
+#     driver: bridge

airflow/Dockerfile

@@ -0,0 +1,18 @@
+FROM apache/airflow:2.7.1
+
+USER root
+RUN apt-get update && \
+    apt-get install -y git && \
+    apt-get install -y libgomp1
+
+USER airflow
+# This is to fix a bug in Airflow with PostgreSQL connection
+RUN pip install git+https://github.com/mpgreg/airflow-provider-great-expectations.git@87a42e275705d413cd4482134fc0d94fa1a68e6f
+
+# Requirement for running Docker Operator
+RUN pip install apache-airflow-providers-docker==3.7.5
+RUN pip install httpx==0.24.1 
+
+#install requirement for DAGs
+COPY deltalake_requirements.txt .
+RUN pip install --no-cache-dir -r deltalake_requirements.txt

airflow/README.md

@@ -0,0 +1,25 @@
+## Airflow
+
++ Airflow is a service to manage and schedule data pipeline
++ In this repo, airflow is run data pipeline (download data, transform data, insert data, check expectations,...)
+
+
+Note: using commnad `sudo chmod 777 -R data` if error happen :))
+### DAGs
+```shell
+.
+├── nyc_pipeline.py: dag for NYC taxi data pipeline  ( download data, transform data,preprocess data)
+├── data2warehouse.py: dag using Great Expectations to validate data and insert data into data warehouse
+```
+### Guide
++ To run Airflow, you can you following command ```make airflow up``` to run Airflow service( you can run ```make warehouse_up``` to start DB)
+ Accesss at http://localhost:8080/ to for Airflow UI to run dag (login with username and password is `airflow`)
+ ![](../imgs/airflow3.png)
+ You have to create connection `postgre_default` before running dag ```data2.py```
+ ![](../imgs/airflow1.png)
+
+ You can see task in `airflow/dags` folder
+ ![](../imgs/airflow4.png)
+ ![](../imgs/airflow5.png)
+  You can manual run dags by click on Run icon 
+ ![](../imgs/airflow7.png)

airflow/config/deltalake_config.yaml

@@ -0,0 +1,9 @@
+airflow_data:
+  folder_path: /opt/airflow/data/delta_lake
+
+datalake:
+  endpoint: datalake-minio:9000
+  bucket_name: nyc-time-serie
+  folder_name: pump
+  access_key: minio_access_key
+  secret_key: minio_secret_key