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Data Lake service","author":{"name":"Victor Andritoiu","email":"devandrito@gmail.com"},"license":"MIT","readme":"# Weather service implementation\n\nThis service implements basic dlake services to demonstrate both service call\nand service UI injection.\n\n## Native process\n\nWhen using native process execution, take care not to use already in use port.\nIn order to avoid that, you can start your process using a startup shell script\nas following:\n\n```bash\n#!/bin/sh\n\nexport IIOS_SERVER_PORT=20013\nexport IIOS_NAMESPACE=ignitialio\n\nnode index.js\n```\n\n### Redis\n\nIgnitial.io services are based on Redis for service discovery and PUB/SUB RPC\nemulation.\n\nYou need to start a Redis server to proceed. For example:\n\n```bash\ndocker run -d --name redis -p 6379:6379 redis\n```\n\n## Docker\n\nConfiguration file must be based on ENV variables in order to easily configure\nDocker container execution.\n\n### Build\n\n```shell\ndocker build --rm --force-rm -t ignitial/dlake .\n```\n\n### Run\n\n```shell\ndocker run -d -p 20013:20013 --name dlake --link redis:redis -e REDIS_HOST=\"redis\" -e IIOS_SERVER_PORT=20013 ignitial/dlake\n```\n\n### Kill\n\nIf Docker image does not contain PM2 and node app is not started using pm2-node,\nthen take care when stopiing Docker container to send TERM signal to the service.\nIndeed, TERM signal will allow the service to clean up and unregister from Redis\ndiscovery dictionary.\n\n```shell\ndocker exec dlake pkill -TERM node\n```\n\n## Usage \n\n__DLake__ sevice aims to provide data services to any other __IIO__ service or application.\n\n### Main concepts  \n\n> Notice:  \n> We are mainly targetting NoSQL databases (currently only MongoDB is implemented),\n> but same ceoncepts could be implemented for a relational database as well.  \n\nFor any MongoDB collection we need to implement a __datum__, which is simply a \nwrapping class providing at least basic CRUD operations (augmented with some sugar). \nThese operations are already implemented in the _Item_ class, which is in fact \nusing engine specifics wrapping that within a IIO standardized API. For MongoDB, \nimplementation can be found in _lib/db/item-mongo.js_ file.  \n\n### Basic operations  \n\nBasic operation available are:  \n\n- _find(args, userId)_: equivalent to _collection.find_. Arguments are passed through an _args_\nobject that is either a query (in this case a MongoDB query), or an object \ncontaining a query and an option field:  \n\n```javascript\n  mydatum.find({ _id: myID }, userId).then(docs => {\n    // do something with docs\n  }).catch(err => {})  \n  \n  // OR\n  \n  mydatum.find({ \n    query: { _id: myID }, \n    options: { projection: { fieldOne: 1 }}\n  }, userId).then(docs => {\n    // do something with docs\n  }).catch(err => {})  \n```\n\nAs you can see, one additional parameter to _args_ is _userId_ which is used to \nimplement access control.  \n\n- _findAndSort(args, userId)_: similar to previous, excepting that is paginated and sorted. \n_args_ parameter needs then to contain _sort_, _page_, and _pageSize_ fields to \ndefine corresponding options.  \n- _findPaginated(args, userId)_: similar, but only focused on pagination:\n\n```javascript\n  mydatum.find({ \n    query: { _id: myID }, \n    page: 1,\n    pageSize: 30,\n    options: { projection: { fieldOne: 1 }}\n  }, userId).then(docs => {\n    // do something with docs\n  }).catch(err => {})    \n```\n\n- _get(args, userId)_: returns one single item from a collection.\n\n```javascript\n  mydatum.get({ _id: myID }, userId).then(doc => {\n    // do something with doc\n  }).catch(err => {})    \n  \n  // OR\n  \n  mydatum.get({ \n    query: { _id: myID }, \n    options: { projection: { fieldOne: 1 }}\n  }, userId).then(doc => {\n    // do something with doc\n  }).catch(err => {})  \n```\n\n> Notice:  \n> __id_ can be a string that will be converted automatically to ObjecID when \n> using Mongo.  \n\n- _put(args, userId)_: inserts or updates an element defined by _args_ object. If\n_args_ provides an __id_ field, item is supposed to be updated (if \ncorresponding item is found), unless is inserted. Updates are possible only if \ndatum options _appendOnly_ is not set to true.  \n\n```javascript\n  // update\n  mydatum.put({ \n    _id: myID,\n    fieldOne: '...',\n    // ... \n  }, userId).then(() => {\n    console.log('done')\n  }).catch(err => {})    \n  \n  // OR insert\n  mydatum.put({ \n    fieldOne: '...',\n    // ..\n  }, userId).then(result => {\n    console.log(result._id)\n  }).catch(err => {})  \n```\n\nAs seen above, in the case of an insert, you can get back the item __id_ field \nfor further use.  \n\n- _putsert(args, userId)_: similar, excepting that is using _updateOne_ with \n_insert_ option set (specific to Mongo)  \n- _del(args, userId)_: deletes one item defined by _args_ query.  \n\n> Notice:  \n> All the methods are returning a _Promise_.  \n\n### Default datums (collections)\n  \nThere are several collections defined by default:\n- _users_: users list for user management  \n- _roles_: user roles for access control  \n- _connections_: logs users connections for reporting  \n- _activities_: logs users activity for reporting..\n- _notifications_: users application notifications  \n\n### Deploy\n\nIn order to deploy __DLake__ service you can either use a derivated class \ncreating your own dedicated service, or deploy it as a Docker container providing\nto it your additional datum definitions.  \n\nIndeed, configuration file (_config.index.js_) provides a field that allows to \ndefine the directory where to look for datum definition files:  \n\n```javascript\n  {\n    /* datum definition pathes */\n    datum: {\n      paths: [ './lib/datum', '/opt/dlake/datum' ]\n    },\n    // ...\n  }\n```\n\nBy default there is _/opt/dlake/datum_ which corresponds to service deployment \ndirectory when build for docker (see _Dockerfile_). Then you can declare for \nexample a volume link in order to target your definition directory.  \n\nObserving the configuration file, you can see as well any other environment \nvariable that you can use for service tuning. An example of deployment command can be found below:\n\n```bash\n#!/bin/sh\n\ndocker run -d --name dlake-ottoman \\\n  -p 20091:20091 \\\n  -e DLAKE_NAME=dlake-ottoman \\\n  -e REDIS_HOST=redis \\\n  -e MONGODB_URI=mongodb://mongo:27017 \\\n  -e MONGODB_DBNAME=ottoman \\\n  -e IIOS_NAMESPACE=ottoman \\\n  -e IIOS_SERVER_PORT=20091 \\\n  -v ${pwd}/datum:/opt/dlake/datum \\\n  --link mongo:mongo \\\n  --link redis:redis \\\n  ignitial/dlake\n```\n\nWhen deploying in production, you can use Docker volume containers to share \ndatum defintions between a source and the dlake service.  \n\n```bash\ndocker volume create --name datum-defs\n```\n\nthen \n\n```bash\n#!/bin/sh\n\ndocker run -d --name dlake-ottoman \\\n  -p 20091:20091 \\\n  -e DLAKE_NAME=dlake-ottoman \\\n  -e REDIS_HOST=redis \\\n  -e MONGODB_URI=mongodb://mongo:27017 \\\n  -e MONGODB_DBNAME=ottoman \\\n  -e IIOS_NAMESPACE=ottoman \\\n  -e IIOS_SERVER_PORT=20091 \\\n  -v datum-defs:/opt/dlake/datum \\\n  --link mongo:mongo \\\n  --link redis:redis \\\n  ignitial/dlake\n```\n","readmeFilename":"README.md","homepage":"https://gitlab.com/iio-core/dlake-service#readme","repository":{"type":"git","url":"git+ssh://git@gitlab.com/iio-core/dlake-service.git"},"bugs":{"url":"https://gitlab.com/iio-core/dlake-service/issues"}}