MongoDB Charts Meetup - 7-24-2018
- 1. Bringing Data to Life with MongoDB Charts Grigori Melnik VP, Products, Server and Enterprise Tools @gmelnik Jay Gordon Developer Advocate @jaydestro NYC MUG, Jul 24, 2017
- 2. 2 Agenda • Why did we build Charts? • What is Charts? • Installing Charts • Roadmap • Workshop with Jay
- 3. 3 Safe Harbor Statement The development, release, and timing of any features or functionality described for our products remains at our sole discretion. This information is merely intended to outline our general product direction and it should not be relied on in making a purchasing decision nor is this a commitment, promise or legal obligation to deliver any material, code, or functionality.
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- 5. 5 Options for Visualizing MongoDB Data Custom Code + Charting Libraries ETL + 3rd Party BI Tools MongoDB BI Connector + 3rd Party BI Tools MongoDB Charts MongoDB Compass
- 6. 6 Wouldn't it be nice if... You could visualize your MongoDB Data… • without needing to write your own code • without needing to move your data into a different repository • without needing to wrangle with flaky ETL pipelines • without needing to purchase and configure third-party tools • without losing the richness of the Document Model
- 7. 7 Introducing MongoDB Charts (Beta) The fastest way to build visualizations over your MongoDB data Built for the MongoDB document model Visualize live data From on-prem or Atlas DBs
- 8. 8 Charts Basic Concepts • A data source is a reference to a MongoDB collection or view that contains data you want to visualize. • A chart is a visualization of data from a single data source. • A dashboard is a collection of charts which you manage as a unit (name, layout, sharing)
- 9. 9 Document Model Support • Type handling • Polymorphic collections • Nested documents • Array reductions
- 10. 10 Charting Capabilities • Common chart types • Aggregation functions • Filtering • Sample Mode • Binning • Sorting
- 11. Demo: A Quick Tour of MongoDB Charts
- 12. 12 • Charts Beta is now available to download! • No cost to use the beta • Download and install instructions @ http://mongodb.com/charts • Charts runs as a Docker container on a server of your choice • Supported on any OS that runs Docker CE or EE (Linux, MacOS, Windows) • Can be a physical server, cloud VM or even a laptop Installing Charts
- 13. 13 • Charts requires a MongoDB instance to run • For storing metadata about users, data sources and dashboards • Can be any MongoDB instance in your organization (including Atlas) • Not included in the Charts Docker container Installing Charts
- 14. 14 • Installation process: • Deploy or identify a MongoDB instance for the Charts metadata • Install Docker on your target server • Download the Charts Docker Compose file from MongoDB download center • Create a Docker Secret containing the URI for your MongoDB instance • Deploy Charts using docker stack deploy • Create your first Charts user • Access Charts from a web browser Installing Charts
- 15. Getting Started! Workshop time with Jay Gordon Developer Advocate
- 16. Join Community Slack, #nycmug https://community-slack.mongodb.com
- 19. Create a directory mkdir mongodb-charts cd mongodb-charts
- 20. Download the Docker Swarm file https://www.mongodb.com/download-center#charts
- 24. Open a terminal and enter Docker into "Swarm" mode docker swarm init
- 25. Sign up for MongoDB Atlas https://www.mongodb.com/cloud/atlas
- 26. 26 ● MongoDB Charts stores metadata for the charts created. ● The Charts Docker instance does not provide this, we can easily configure a free MongoDB replica set. ● This DOES NOT have to be the dataset we want to visualize, this is for METADATA ONLY. Why do we need an Atlas Cluster?
- 36. echo "mongodb+srv://myusername:mypassword@YOURCLUS TERNAME.gcp.mongodb.net/test?retryWrites=true " | docker secret create charts-mongodb-uri - Create "secret" to pass through to Docker during build.
- 37. docker pull quay.io/mongodb/charts:v0.9.0 Pull down the "Charts" docker image
- 38. docker stack deploy -c charts-docker-compose- v0.9.0.yml mongodb-charts OUTPUT: Creating network mongodb-charts_backend Creating service mongodb-charts_charts Launch the Charts container as a Docker Stack using the Compose file.
- 39. bash-3.2$ docker service ls ID NAME MODE REPLICAS IMAGE PORTS ktdeldzds1lt mongodb-charts_charts replicated 1/1 quay.io/mongodb/charts:v0.9.0 *:80->80/tcp bash-3.2$ Check our container is running
- 40. docker exec -it $(docker container ls --filter name=_charts -q) charts-cli add-user --first-name "<First>" --last-name "<Last>" --email "<user@example.com>" --password "<Password>" --role "<UserAdmin|User>" Create our user, fill in the contents in the <> brackets (remove the <>)
- 41. Log into Web Application - Open Browser and go to http://localhost
- 47. 47 Disclaimer
- 48. 48 Disclaimer
- 49. 49 Disclaimer
- 50. Find and stop your Docker process bash-3.2$ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES c0473e99300c quay.io/mongodb/charts:v0.9.0 "/bin/sh -c '/usr/bi…" 18 hours ago Up 18 hours 80/tcp mongodb- charts_charts.1.tkjufwu8a8byc8rgewocba1sf bash-3.2$ docker stack rm mongodb-charts
- 51. Find and stop your Docker process bash-3.2$ docker stack rm mongodb-charts Removing service mongodb-charts_charts Removing network mongodb-charts_backend bash-3.2$ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
- 52. 52 That's all! • Create more charts! • Share with us! • Questions? $25 MongoDB Atlas Coupon Code: GOATLAS25