Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
A Riak Query Tale
Search
Mathias Meyer
February 01, 2012
Programming
5
1k
A Riak Query Tale
An introduction to the abundance of ways you can get data out of Riak.
Mathias Meyer
February 01, 2012
Tweet
Share
More Decks by Mathias Meyer
See All by Mathias Meyer
Building and Scaling an Distributed and Inclusive Team
roidrage
0
1.3k
cooking infrastructure with chef
roidrage
4
230
The Message Queue is Dead, Long Live the Message Queue
roidrage
4
710
riak-js
roidrage
1
290
designing for concurrency with riak
roidrage
11
1.9k
metrics, monitoring, logging
roidrage
82
15k
design for cloud - jax 2012
roidrage
2
310
Don't Use NoSQL
roidrage
10
1.1k
Designing Applications for Amazon Web Services (GOTO Aarhus)
roidrage
6
360
Other Decks in Programming
See All in Programming
Cell-Based Architecture
larchanjo
0
150
LLM Çağında Backend Olmak: 10 Milyon Prompt'u Milisaniyede Sorgulamak
selcukusta
0
140
Developing static sites with Ruby
okuramasafumi
0
330
GISエンジニアから見たLINKSデータ
nokonoko1203
0
190
大規模Cloud Native環境におけるFalcoの運用
owlinux1000
0
200
SwiftUIで本格音ゲー実装してみた
hypebeans
0
510
リリース時」テストから「デイリー実行」へ!開発マネージャが取り組んだ、レガシー自動テストのモダン化戦略
goataka
0
150
[AtCoder Conference 2025] LLMを使った業務AHCの上⼿な解き⽅
terryu16
6
880
Giselleで作るAI QAアシスタント 〜 Pull Requestレビューに継続的QAを
codenote
0
310
Spinner 軸ズレ現象を調べたらレンダリング深淵に飲まれた #レバテックMeetup
bengo4com
0
190
生成AIを利用するだけでなく、投資できる組織へ
pospome
2
410
Claude Codeの「Compacting Conversation」を体感50%減! CLAUDE.md + 8 Skills で挑むコンテキスト管理術
kmurahama
1
660
Featured
See All Featured
Thoughts on Productivity
jonyablonski
73
5k
End of SEO as We Know It (SMX Advanced Version)
ipullrank
2
3.8k
The SEO Collaboration Effect
kristinabergwall1
0
310
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
680
Imperfection Machines: The Place of Print at Facebook
scottboms
269
13k
How to Build an AI Search Optimization Roadmap - Criteria and Steps to Take #SEOIRL
aleyda
1
1.8k
Rails Girls Zürich Keynote
gr2m
95
14k
Stop Working from a Prison Cell
hatefulcrawdad
273
21k
Conquering PDFs: document understanding beyond plain text
inesmontani
PRO
4
2.2k
GraphQLとの向き合い方2022年版
quramy
50
14k
How to make the Groovebox
asonas
2
1.9k
First, design no harm
axbom
PRO
1
1.1k
Transcript
A Riak Query Tale Mathias Meyer, @roidrage NoSQL Cologne
http://riakhandbook.com
Riak Distributed Database Fault-Tolerant Content-Agnostic Scalable on Demand
Querying Data
Key-Value $ curl localhost:8098/riak/users/roidrage
Links $ curl -‐v localhost:8098/riak/users/roidrage < HTTP/1.1 200 OK <
Link: </riak/users/klimpong>; riaktag="friend"
Links $ curl .../riak/users/roidrage/users,friend,_/
Listing Keys $ curl .../riak/users?keys=true
Don’t do that!
Streaming Keys $ curl .../riak/users?keys=stream
Avoid that!
Loads all the keys.
MapReduce
MapReduce Transform (Map) Aggregate (Reduce)
Warning: JavaScript
MapReduce riak.add("users"). map("Riak.mapValues").
run()
MapReduce var nameLength = function(value) { var doc
= Riak.mapValues(value)[0]; return [doc.length]; }
MapReduce riak.add("users"). map(nameLength).
run()
MapReduce riak.add("users"). map(nameLength).
reduce("Riak.reduceSum"). run()
MapReduce var average = function(values) { var avg
= values.reduce(function(n, sum) { return sum += n; }, 0); return [(avg / values.length)]; }
MapReduce riak.add("users"). map(nameLength).
reduce(average). run()
MapReduce riak.add("users"). map(nameLength).
reduce(average). run() Uh-Oh!
MapReduce riak.add(["users", "roidrage"]). map(nameLength).
reduce(average). run() Better!
JavaScript M/R Breaks with Millions of Objects Uses External Libraries
Serializes Data for JavaScript
Warning: Erlang
MapReduce riak.add('tweets'). map({language: 'erlang',
module: 'riak_kv_mapreduce', function: 'map_object_value'}).run()
MapReduce $ riak attach > {ok, C} = riak:local_client().
MapReduce C:mapred([{<<"users">>, <<"roidrage">>}], [{map, {modfun, riak_kv_mapreduce, map_object_value}, none, false}, {reduce,
{modfun, riak_kv_mapreduce, reduce_count_inputs}, none, true}]).
MapReduce ExtractFirstName1 = fun(RObject, _, _) -‐>
Value = riak_object:get_value(RObject), [FirstName, _] = re:split(Value, " "), [FirstName] end.
MapReduce C:mapred([{<<"users">>, <<"roidrage">>}],
[{map, {qfun, ExtractFirstName}, none, true}]).
Erlang M/R Much more efficient than JavaScript No serialization No
ad-hoc functions through HTTP
Key-Filters Reduce MapReduce input Based on key matches
Key-Filters riak.add({bucket: 'users', key_filters: [["matches", "^roid"]]})
Key-Filters riak.add({bucket: 'users', key_filters: [["to_upper"],
["matches", "^ROID"]]})
Key-Filters riak.add({bucket: 'users', key_filters: [["to_upper"],
["to_lower"], ["matches", "^roid"]]})
Key-Filters riak.add({bucket: 'users', key_filters: [["to_upper"],
["ends_with", "RAGE"]]})
Key-Filters riak.add({bucket: 'users', key_filters:
[["and", [["string_to_int"], ["less_than", 10]], [["string_to_int"], ["greater_than", 5]]]]})
Don't use key filters.
Riak 2i Sorted Secondary Indexes Simple Reverse Lookups Maintained Manually
Requires LevelDB
Riak 2i curl -‐X PUT .../riak/users/roidrage -‐d @-‐ \
-‐H "Content-‐Type: text/plain" \ -‐H "X-‐Riak-‐Index-‐firstname_bin: mathias" \ -‐H "X-‐Riak-‐Index-‐lastname_bin: meyer"
Riak 2i X-‐Riak-‐Index-‐firstname_bin: Mathias X-‐Riak-‐Index-‐lastname_bin: Meyer
Riak 2i X-‐Riak-‐Index-‐firstname_bin: Mathias X-‐Riak-‐Index-‐lastname_bin: Meyer X-‐Riak-‐Index-‐age_int: 34
Riak 2i X-‐Riak-‐Index-‐firstname_bin: Mathias X-‐Riak-‐Index-‐lastname_bin: Meyer X-‐Riak-‐Index-‐age_int: 34 X-‐Riak-‐Index-‐topics_bin: nosql,cloud,operations
Riak 2i # Match $ curl .../buckets/users/index/firstname_bin/Mathias
Riak 2i # Range $ curl .../buckets/users/index/firstname_bin/Mathias/Till
Riak 2i # Key $ curl .../buckets/users/index/$key/roidrage
Ordered Keys! (sort of)
MapReduce riak.add({bucket: 'users',
index: 'lastname_bin', key: 'mathias'}). map('Riak.mapValuesJson').run()
Riak 2i No Multi-Index Queries Requires Extra Work in the
App Returns only keys Document-partitioned
Riak Search Full-Text Search Solr-ish Interface Integrates with Riak
Riak Search curl -‐X PUT localhost:8098/riak/users -‐d @-‐ \
-‐H "Content-‐Type: application/json" {"props":{"precommit": [{"mod":"riak_search_kv_hook","fun":"precommit"} ]}}
Indexing Riak Objects curl -‐X PUT .../riak/users/roidrage \
-‐d "Mathias Meyer" -‐H "Content-‐Type: text/plain"
Solr-ish Interface curl .../solr/users/select?q=value:Mathias
Riak Search value:Mathias OR value:Till value:Mathias AND value:Meyer value:Mat* value:[Mathias
TO Till]
MapReduce riak.addSearch("users", "value:Mathias"). map("Riak.mapValues").run()
Riak Search Full text search of structured data Term-partitioned Efficient
for one term queries Multiple Interfaces No Anti-Entropy
When?
Key Listings Never! Almost
MapReduce Analytical Queries Fixed Dataset
Key Filters Never!
Riak 2i Simple Lookups and Range Queries Unbounded Queries Full
Fault-Tolerance
Riak Search Larger documents Full indexing Flexible queries Low frequency
terms
Questions?