MySQL Document Store - when SQL & NoSQL live together... in peace!
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Frédéric Descamps gave a demonstration of MySQL Document Store, showing how it allows both SQL and NoSQL functionality. He migrated sample data from MongoDB to MySQL Document Store and performed queries and CRUD operations. The conclusion is that MySQL Document Store provides the best of both worlds by combining schemaless and flexible data with ACID compliance, SQL capabilities, and data integrity.
![Dump and load using MySQL Shell & Python
this example is inspired by @datacharmer's work:
https://www.slideshare.net/datacharmer/mysql-documentstore
$ mongo --quiet --eval 'DBQuery.shellBatchSize=30000;
db.restaurants. nd().shellPrint()'
| perl -pe 's/(?:ObjectId|ISODate)(("[^"]+"))/ $1/g' > all_recs.json
Copyright @ 2017 Oracle and/or its affiliates. All rights reserved.
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MySQL Document Store - when SQL & NoSQL live together... in peace!
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- 3. Percona Live Europe - Dublin 2017 MySQL Document Store - demo when SQL & NoSQL live together... in peace ! Frédéric Descamps - MySQL Community Manager - Oracle 3 / 33
- 4. Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purpose only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied up in making purchasing decisions. The development, release and timing of any features or functionality described for Oracle´s product remains at the sole discretion of Oracle. Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 4 / 33
- 5. http://about.me/lefred Who am I ? Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 5 / 33
- 6. Frédéric Descamps @lefred MySQL Evangelist Hacking MySQL since 3.23 devops believer MySQL Community Manager since May 2016 living in Belgium 🇧🇪 Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 6 / 33
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- 8. How DBAs see data Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 8 / 33
- 9. How DBAs see data How Developers see data { "GNP" : 249704, "Name" : "Belgium", "government" : { "GovernmentForm" : "Constitutional Monarchy, Federation", "HeadOfState" : "Philippe I" }, "_id" : "BEL", "IndepYear" : 1830, "demographics" : { "Population" : 10239000, "LifeExpectancy" : 77.8000030517578 }, "geography" : { "Region" : "Western Europe", "SurfaceArea" : 30518, "Continent" : "Europe" } } Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 9 / 33
- 10. DMBS or NoSQL ? Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 10 / 33
- 11. DMBS or NoSQL ? Why not both ? Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 11 / 33
- 12. Install X Plugin Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 12 / 33
- 13. Connect and create your first schema Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 13 / 33
- 14. We need data ! Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 14 / 33
- 15. Migration from MongoDB to MySQL DS For this example, I will use the well known restaurants collection: Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 15 / 33
- 16. Migration from MongoDB to MySQL DS For this example, I will use the well known restaurants collection: We need to dump the data to a file and we will use MySQL Shell with the Python interpreter to load the data. Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 16 / 33
- 17. Dump and load using MySQL Shell & Python this example is inspired by @datacharmer's work: https://www.slideshare.net/datacharmer/mysql-documentstore $ mongo --quiet --eval 'DBQuery.shellBatchSize=30000; db.restaurants. nd().shellPrint()' | perl -pe 's/(?:ObjectId|ISODate)(("[^"]+"))/ $1/g' > all_recs.json Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 17 / 33
- 18. Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 18 / 33
- 19. Let´s play and query some data ! Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 19 / 33
- 20. Syntax slightly different than MongoDB Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 20 / 33
- 21. Syntax slightly different than MongoDB > db.restaurants. nd({"cuisine": "French", "borough": { $not: /^Manhattan/} }, {"_id":0, "name": 1,"cuisine": 1, "borough": 1}).limit(2) { "borough" : "Queens", "cuisine" : "French", "name" : "La Baraka Restaurant" } { "borough" : "Queens", "cuisine" : "French", "name" : "Air France Lounge" } Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 21 / 33
- 22. Let´s try other CRUD operations Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 22 / 33
- 23. And what about my old friend SQL ? Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 23 / 33
- 24. Queries using JSON... Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 24 / 33
- 25. Add virtual columns Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 25 / 33
- 26. Add indexes Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 26 / 33
- 27. what do I gain ? Conclusion Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 27 / 33
- 28. schemaless flexible data structure easy to start (CRUD) Conclusion This is the best of the two worlds in one product ! Data integrity ACID Compliant SQL Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 28 / 33
- 29. Do we have still time for something cool ? Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 29 / 33
- 30. Let´s do it ! Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 30 / 33
- 31. The Challenge Create a collection of books and add some books with all their data in +/- 5 minutes ! Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 31 / 33
- 32. The Challenge Create a collection of books and add some books with all their data in +/- 5 minutes ! Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 32 / 33
- 33. Thank you ! Any Questions ? Copyright @ 2017 Oracle and/or its affiliates. All rights reserved. 33 / 33