Getting to Insights Faster with the MongoDB Connector for BI
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The document discusses MongoDB Connector for Business Intelligence. It allows connecting MongoDB to BI tools via a SQL interface. It includes the MongoSQLD proxy daemon that translates SQL queries to MongoDB queries. It also includes MongoDRDL for generating schemas to map MongoDB data to relational tables. The connector supports authentication, security, and performance optimizations like query push-downs.
![{
"_id" : ObjectId("59af77b70e32931865249705"),
"address" : {
"building" : "1007",
"coord" : [-73.856077,40.848447 ],
"street" : "Morris Park Ave",
"zipcode" : "10462"
},
"borough" : "Bronx",
"cuisine" : "Bakery",
"grades" : [
{ "date" ISODate("2014-03-03T00:00:00Z"),
"grade" : "A",
"score" : 2
},
{ "date" : ISODate("2013-09-11T00:00:00Z"),
"grade" : "A",
"score" : 6
},...
],
"name" : "Morris Park Bake Shop",
"restaurant_id" : "30075445"
}](https://image.slidesharecdn.com/mongodb-webinar-b118c4db-f428-4e77-951f-0d5fdfa0022e-1438124160-170907140004/85/Getting-to-Insights-Faster-with-the-MongoDB-Connector-for-BI-7-320.jpg)
![schema:
- db: test
tables:
- table: restaurants
collection: restaurants
pipeline: []
columns:
- Name: _id
MongoType: bson.ObjectId
SqlName: _id
SqlType: varchar
- Name: address.building
MongoType: string
SqlName: address.building
SqlType: varchar](https://image.slidesharecdn.com/mongodb-webinar-b118c4db-f428-4e77-951f-0d5fdfa0022e-1438124160-170907140004/85/Getting-to-Insights-Faster-with-the-MongoDB-Connector-for-BI-9-320.jpg)
![schema:
- db: test
tables:
- table: restaurants
collection: restaurants
pipeline: []
columns:
- Name: _id
MongoType: bson.ObjectId
SqlName: _id
SqlType: varchar
- Name: address.building
MongoType: string
SqlName: address.building
SqlType: varchar](https://image.slidesharecdn.com/mongodb-webinar-b118c4db-f428-4e77-951f-0d5fdfa0022e-1438124160-170907140004/85/Getting-to-Insights-Faster-with-the-MongoDB-Connector-for-BI-10-320.jpg)
![{
"_id" : ObjectId("59af77b70e32931865249705"),
"address" : {
"building" : "1007",
"coord" : [-73.856077,40.848447 ],
"street" : "Morris Park Ave",
"zipcode" : "10462"
},
"borough" : "Bronx",
"cuisine" : "Bakery",
"grades" : [
{ "date" ISODate("2014-03-03T00:00:00Z"),
"grade" : "A",
"score" : 2
},
{ "date" : ISODate("2013-09-11T00:00:00Z"),
"grade" : "A",
"score" : 6
},...
],
"name" : "Morris Park Bake Shop",
"restaurant_id" : "30075445"
}](https://image.slidesharecdn.com/mongodb-webinar-b118c4db-f428-4e77-951f-0d5fdfa0022e-1438124160-170907140004/85/Getting-to-Insights-Faster-with-the-MongoDB-Connector-for-BI-11-320.jpg)
Getting to Insights Faster with the MongoDB Connector for BI
- 1. MongoDB Connector for Business Intelligence Bryan Reinero, Product Manager
- 7. { "_id" : ObjectId("59af77b70e32931865249705"), "address" : { "building" : "1007", "coord" : [-73.856077,40.848447 ], "street" : "Morris Park Ave", "zipcode" : "10462" }, "borough" : "Bronx", "cuisine" : "Bakery", "grades" : [ { "date" ISODate("2014-03-03T00:00:00Z"), "grade" : "A", "score" : 2 }, { "date" : ISODate("2013-09-11T00:00:00Z"), "grade" : "A", "score" : 6 },... ], "name" : "Morris Park Bake Shop", "restaurant_id" : "30075445" }
- 8. Document / Relational Definition Language ./mongodrdl
- 9. schema: - db: test tables: - table: restaurants collection: restaurants pipeline: [] columns: - Name: _id MongoType: bson.ObjectId SqlName: _id SqlType: varchar - Name: address.building MongoType: string SqlName: address.building SqlType: varchar
- 10. schema: - db: test tables: - table: restaurants collection: restaurants pipeline: [] columns: - Name: _id MongoType: bson.ObjectId SqlName: _id SqlType: varchar - Name: address.building MongoType: string SqlName: address.building SqlType: varchar
- 11. { "_id" : ObjectId("59af77b70e32931865249705"), "address" : { "building" : "1007", "coord" : [-73.856077,40.848447 ], "street" : "Morris Park Ave", "zipcode" : "10462" }, "borough" : "Bronx", "cuisine" : "Bakery", "grades" : [ { "date" ISODate("2014-03-03T00:00:00Z"), "grade" : "A", "score" : 2 }, { "date" : ISODate("2013-09-11T00:00:00Z"), "grade" : "A", "score" : 6 },... ], "name" : "Morris Park Bake Shop", "restaurant_id" : "30075445" }
- 12. mysql> show tables; +---------------------------+ | Tables_in_test | +---------------------------+ | restaurants | | restaurants_address_coord | | restaurants_grades | +---------------------------+ 3 rows in set (0.01 sec) mysql> describe restaurants_grades; +--------------+----------------+------+------+---------+-------+ | Field | Type | Null | Key | Default | Extra | +--------------+----------------+------+------+---------+-------+ | _id | varchar(65535) | YES | | NULL | | | grades.date | datetime | YES | | NULL | | | grades.grade | varchar(65535) | YES | | NULL | | | grades.score | bigint(20) | YES | | NULL | | | grades_idx | bigint(20) | YES | | NULL | | +--------------+----------------+------+------+---------+-------+ 5 rows in set (0.02 sec)
- 13. MongoSQLD DRDL
- 14. Performance
- 16. Do’s Model for use Index efficiently Index effectively
- 17. Avoid (until 3.6) cross-collection ● non-equijoins ● subqueries casts Do’s Model for use Index efficiently Index effectively
- 18. Security
- 19. MongoSQLD User: Jen, Pass: ****** User: Jen, Role: “read” Passthrough Authentication
- 21. biUser?mechanism=MONGODB-CR,source=authDB User: biUser Authentication Mechanism: MONGODB-CR Authentication Database: authDB
- 22. MongoSQLD User: Jen, Pass: ****** User: Jen, Role: “read” Passthrough Authentication
- 23. MongoSQLD User: Jen, Pass: ****** User: Jen, Role: “read” LIBMYSQL_ENABLE_CLEARTEXT_PLUGIN
- 24. MongoSQLD User: Jen, Pass: ****** User: Jen, Role: “read” SSL LIBMYSQL_ENABLE_CLEARTEXT_PLUGIN
- 25. Setting the Cleartext Plugin ● By Environment Variable ● By ODBC configuration ● By client configuration
- 26. MongoSQLD User: Jen, Pass: ****** User: Jen, Role: “read” SSL
- 27. Client Side Authentication Plugins ● Java - for use with MySQL’s connector-j driver ● C - for use with ODBC driver and MySQL Shell
- 29. Install Authentication Plugins ● Linux / OS X ○ <mysql-home>/lib/plugin/ ● Windows ○ .msi installer
- 31. Single Server BI Connector vs. BI Connector Separate Servers
- 32. Give it a try! Dowload https://www.mongodb.com/products/bi-connector Docs http://docs.mongodb.com/bi-connector/ Data https://docs.mongodb.com/getting-started/shell/import-data/