superset/docker/pythonpath_dev/superset_config_local.example

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#
# 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.
#
Init docker for local development environment. (#4193) This commit will try to dockerize superset in local development environment. The basic design is: - Enable superset, redis and postgres service instead of using sqlite, just want to simulate production environment settings - Use environment variables to config various app settings. It's easy to run and config superset to any environment if we use environment than traditional config files - For local development environment, we just expose postgres and redis to local host machine thus you can connect local port via `psql` or `redis-cli` - Wrap start up command in a standard `docker-entrypoint.sh`, and use `tail -f /dev/null` combined with manually `superset runserver -d` to make sure that code error didn't cause the container to fail. - Use volumes to share code between host and container, thus you can use your favourite tools to modify code and your code will run in containerized environment - Use volumes to persistent postgres and redis data, and also `node_modules` data. - If we don't cache `node_modules` in docker volume, then every time run docker build, the `node_modules` directory, will is about 500 MB large, will be sent to docker daemon, and make the build quite slow. - Wrap initialization commands to a single script `docker-init.sh` After this dockerize setup, any developers who want to contribute to superset, just follow three easy steps: ``` git clone https://github.com/apache/incubator-superset/ cd incubator-superset cp contrib/docker/{docker-build.sh,docker-compose.yml,docker-entrypoint.sh,docker-init.sh,Dockerfile} . cp contrib/docker/superset_config.py superset/ bash -x docker-build.sh docker-compose up -d docker-compose exec superset bash bash docker-init.sh ```
2018-06-10 00:26:41 -04:00
#
# This is an example "local" configuration file. In order to set/override config
# options that ONLY apply to your local environment, simply copy/rename this file
# to docker/pythonpath/superset_config_docker.py
# It ends up being imported by docker/superset_config.py which is loaded by
# superset/config.py
#
Init docker for local development environment. (#4193) This commit will try to dockerize superset in local development environment. The basic design is: - Enable superset, redis and postgres service instead of using sqlite, just want to simulate production environment settings - Use environment variables to config various app settings. It's easy to run and config superset to any environment if we use environment than traditional config files - For local development environment, we just expose postgres and redis to local host machine thus you can connect local port via `psql` or `redis-cli` - Wrap start up command in a standard `docker-entrypoint.sh`, and use `tail -f /dev/null` combined with manually `superset runserver -d` to make sure that code error didn't cause the container to fail. - Use volumes to share code between host and container, thus you can use your favourite tools to modify code and your code will run in containerized environment - Use volumes to persistent postgres and redis data, and also `node_modules` data. - If we don't cache `node_modules` in docker volume, then every time run docker build, the `node_modules` directory, will is about 500 MB large, will be sent to docker daemon, and make the build quite slow. - Wrap initialization commands to a single script `docker-init.sh` After this dockerize setup, any developers who want to contribute to superset, just follow three easy steps: ``` git clone https://github.com/apache/incubator-superset/ cd incubator-superset cp contrib/docker/{docker-build.sh,docker-compose.yml,docker-entrypoint.sh,docker-init.sh,Dockerfile} . cp contrib/docker/superset_config.py superset/ bash -x docker-build.sh docker-compose up -d docker-compose exec superset bash bash docker-init.sh ```
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SQLALCHEMY_DATABASE_URI = "postgresql+psycopg2://pguser:pgpwd@some.host/superset"
SQLALCHEMY_ECHO = True