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Introduction to RethinkDB : Big Data Utah
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Jorge Silva
May 09, 2015
Programming
2
240
Introduction to RethinkDB : Big Data Utah
Presentation to RethinkDB given at Utah Big Data Meetup on May 6th, 2015.
Jorge Silva
May 09, 2015
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Transcript
RethinkDB The database for the realtime web Big Data Meetup
Utah Salt Lake City, Utah May 6, 2015
Jorge Silva @thejsj Developer Evangelist @ RethinkDB
Introduction What is RethinkDB?
What is RethinkDB? • Open source database for building realtime
web applications • NoSQL database that stores schemaless JSON documents • Distributed database that is easy to scale
Built for Realtime Apps • Subscribe to change notifications from
database queries • No more polling — the database pushes changes to your app • Reduce the amount of plumbing needed to stream live updates
RethinkDB Structure Database → Table → Document MySQL: Database →
Table → Row MongoDB: Database → Collection → Document
Sample Document { "name": "Will Riker", "position": "Commander", "height": 193,
"birthdate": Mon Aug 19 2335, "ships": [ { "name": "USS Pegasus" }, { "name": "USS Potemkin" }, { "name": "USS Enterprise" }, ], ... }
Introduction to ReQL RethinkDB Query Language
Introduction to ReQL • ReQL embeds natively into your programming
language • Compose ReQL queries by chaining commands
Anatomy of a ReQL Query r.table("users") .pluck("last_name") .distinct().count() Number of
unique last names
Anatomy of a ReQL Query r.table("users") .pluck("last_name") .distinct().count() Access a
database table
Anatomy of a ReQL Query r.table("users") .pluck("last_name") .distinct().count() Isolate a
document property
Anatomy of a ReQL Query r.table("users") .pluck("last_name") .distinct().count() Consolidate duplicate
values
Anatomy of a ReQL Query r.table("users") .pluck("last_name") .distinct().count() Display the
number of items
Sample ReQL Queries r.table("users") .filter(r.row("age").gt(30)) r.table("users") .pluck("last_name") .distinct().count() r.table("fellowship") .filter({species:
"hobbit"}) .update({species: "halfling"})
ReQL Commands • Transformations: map, orderBy, skip, limit, slice •
Aggregations: group, reduce, count, sum, avg, min, max, distinct, contains • Documents: row, pluck, without, merge, append, difference, keys, hasFields, spliceAt • Writing: insert, update, replace, delete • Control: forEach, range, branch, do, coerceTo, expr
Running Queries http://bit.ly/1JQ8imw
Understanding ReQL • Anonymous function must return a valid ReQL
expression • Client driver translates ReQL queries into wire protocol • In JS use e.g. the mul and gt commands instead of the normal operators
Additional ReQL Features • Geospatial indexing for location- based queries
• Date and time functions for time data • Support for storing binary objects
Realtime Updates Working with Changefeeds
Subscribe to change notifications on database queries Changefeeds
Changefeeds Example http://realtime-photo.thejsj.com/
r.table("users").changes() Track changes on the users table Changefeeds
Changefeeds • The changes command returns a cursor that receives
updates • Each update includes the new and old value of the modified record
Changefeeds r.table("users").changes() r.table("users") .insert({name: "Bob"}) Changefeed output: { new_val: {
id: '362ae837-2e29-4695-adef-4fa415138f90', name: 'Bob', ... }, old_val: null }
Changefeeds r.table("users").changes() r.table("users") .filter({name: "Bob"}).delete() Changefeed output: { new_val: null,
old_val: { id: '362ae837-2e29-4695-adef-4fa415138f90', name: 'Bob', ... } }
Changefeeds r.table("users").changes() r.table("users") .get("362ae837-2e29-4695-adef-4fa415138f90") .update({name: "Bobbby"}) Changefeed output: { new_val:
{ id: '362ae837-2e29-4695-adef-4fa415138f90', name: 'Bobby' }, old_val: { id: '362ae837-2e29-4695-adef-4fa415138f90', name: 'Bob' } }
Changefeeds r.table("players") .orderBy({index: r.desc("score")}) .limit(3).changes() Track top three players by
score Chain the changes command to an actual ReQL query:
Changefeeds r.table("table").get(ID).changes() r.table("table").getAll(ID).changes() r.table("table").between(X, Y).changes() r.table("table").filter(CONDITION).changes() r.table("table").union(ID).changes() r.table("table").map(FUNCTION).changes() r.table("table").min(INDEX).changes() r.table("table").max(INDEX).changes()
r.table("table").orderBy(INDEX) .limit(N).changes() Commands that currently work with changefeeds:
Using Changefeeds
Cluster Configuration Sharding and replication
Sharding and Replication • RethinkDB is designed for clustering and
easy scalability • To add a new server to the cluster, just launch it with the join option • Configure sharding and replication per table • Any feature that works with a single database will work in a sharded cluster
Add a Server to a Cluster $ rethinkdb --join server:29015
>
Clustering
Additional Resources • RethinkDB website: http://rethinkdb.com • RethinkDB cookbook: http://rethinkdb.com/docs/cookbook
• RethinkDB installation: http://rethinkdb.com/docs/install/