node-crate: nodejs and big data
DESCRIPTION
node-crate: Node.js & BigData, 13.10.2014 Munich NodeJS User Group Meetup This presentation provides 'lessons learned' from project implementations with various technologies like Elasticsearch or MongoDB and describes how using Crate data store solved the key issues. The second part introduces CRATE data store and 'node-crate' by examples for development and operation. About Crate: Crate is a new breed of database to serve today's mammoth data needs. Based on the familiar SQL syntax, Crate combines high availability, resiliency, and scalability in a distributed design that allows you to query mountains of data in realtime, not batches. We solve your data scaling problems and make administration a breeze. Easy to scale, simple to use.TRANSCRIPT
node-crate: NodeJS & big data
The path is the goal
about me
• Stefan Thies
• Consulting, product evaluations & outsourcing with a partner company in Saarbrücken, Germany.
• follow me on twitter: seti321
• megastef (github, npmjs.org)
how to get here? • 2012/2013 Systems with Elasticsearch &
• Mobile Apps (Geo) with Appcelerator Titanium
• Data enrichment & Webcrawlers (whois, geo, appstores)
• Distributed Regex-Processing for Cyber Security with 0MQ
• Security Layer around Elasticsearch (sails.js)
• … we do almost everything in NodeJS
Product evaluations
MarkLogic*
MongoDB*
Elas1csearch*
CouchDB*
CRATE*
0*
10*
20*
30*
40*
50*
60*
70*
80*
90*
Document)oriented)data)stores)Points)for)product)evalua4on)criterias)of)the)specific)project)(RT,)scalability,)replica4on,))features)and)commercial))
Datenreihe1*
Design criterias• Scalable & lean architecture
• Operations: NO Zoo of 3th party components
• We choosed Elasticsearch
• Automatic installation -> Docker containers
• One Language: JavaScript / NodeJS
SearchLoad Balancer
Master Nodes
search
indexing
Data Nodes
Collector(index query)
Web UI(search query)
indexing
search
Security, Admin,
UI (AngularJS)
- Policies, Users, Roles - REST API - Websockets / RT
data enrichment• Hey, we got Elasticsearch - lookup queries for ‚static‘ data sources will be fast!
• Distributed processing based on 0MQ (pull/push) - high throughput, parallel processing, distributed worker processes
collection
Information extraction and
processingdata lookups Elasticsearch
Information extraction and
processingdata lookups Elasticsearch
any problem?
collect mass data
Elasticsearch
Analyze & Visualize
other data sources Geo Company
dataOpen Source Information
massive updates!
processing queue / workers
Reporting (PDF)Accurate Counts (Facets) -> Aggregation
Operational issuesalternative ‚any‘ DB (for updates) + ES
• It’s a big mess regarding compatibility, maintenance and monitoring all components - each box can be multiple machines, River might not be updated to latest DB or ES version, a bug might force you to upgrade one of the components and there the trouble of dependency starts …
• Reporting: custom programming DSL Queries, Rendering HTML with PhantomJS to PDF - painful if you know standard Report generators from SQL world. How to tell the customer to adapt it to his needs? Using some ‚standard‘ DB (SQL or NoSQL) supported by the reporting tools would solve it.
DB Vx.x
Data-Procssing Services
DB-River V y.y
Elasticsearch V z.z
Search & Analytics V. b.b
Don’t panic
A match at Slideshare!
• An early presentation of CRATE from Jodok got my attention
• The Mountain Hackathon
birthday of node-crate
Package status
• Igor Likhamanov
• Stefan Thies
• Martin Heidegger joined recently and made high professional quality improvements!
DevOps: Stack-Shrinking
• From 3 down to 1 storage service:
DB Vx.x
Data-Processing
DB-River V y.y
Elasticsearch V z.z
Search & Analytics V. b.b
Crate V a.a
Search & Analytics V. b.b
Data-Processing
Data Enrichment performance• Elasticsearch has no „update by query“
• If we need to update e.g. 50.000 records it means ruining a query to identify the relevant records and send 50.000 HTTP requests for update or build a a large bulk update with 50.000 instructions
• In Crate
• update something where somethingelse = ‚othervalue‘
• One command, not 50.000 roundtrips …
Data Enrichment - performance
collect mass data
CRATE data store
Analyze & Visualize
other data sources Geo … Open Source
Information
massive updates, no issue :)
processing queue / workers
Reporting (PDF) using CRATE JDBC
BLOB’s (Images, videos, packet data, …)
• Traditionally
• Meta-Data in DB + Files in some filesystem / separate object storage
• Both behave different for scaling
• Crate stores BLOB’s like other shards including replicas
• More nodes more capacity, replicas etc.
• BLOB storage scales with the data store
• Would be perfect for ‚dropbox‘ like service :)
Demo: Installation, usage, examples walk through …
• https://www.youtube.com/watch?v=ZaDFrd4ZwQk (demo crate.io)
• https://github.com/megastef/node-crate (node-crate on github)
• http://techblog.bigdata-analyst.de (sample applications)
• https://crate.io/docs/stable/ (documentation of crate)
Simple Example
Import Data (bulk insert)
COPY web_log FROM ‚/var/logs/web_log.json‘ WITH (bulk_size=15000, concurrency=2)
create table web_log (ts timestamp, host
string, …);
Special data types for - IP - Geo Shapes - Objects (dynamic)
insert into web_log (ts,useragent, ..) values (132323,
‚Safari‘, …)
select
update
Anything missing?
• „Kibana“
• see my blog how to add it (‚offically‘ not supported)
• „Marvel“ as detailed performance monitoring solution for Elasticsearch
• SPM from
Using Kibana with Crate
Monitoring - Sematext SPM supported Applications
+*proof of concept,
official release coming soon from Sematext
SPM Monitoring
Our NodeJS Modules• node-crate - DB driver for Crate for NodeJS - help for ‚Waterfall/sails.js‘ ORM appreciated!
We are open for other suggestions, we like sails.js Websocket capability and security features (policies) and would get that ‚for free‘
• winston-crate - logger transport layer for Crate using node-crate
• bro-ids - an interface to the BRO intrusion detection system (IP Monitoring)
• node-spm - Performance monitoring and Metrics API for http://www.sematext.com adapted for NodeJS - custom metrics, events, logging
• SPM - performance metrics, events, SOLR, Elasticsearch, Hadoop, Nginx, …
• using it with Crate might be one of my next blog posts.
• Logsene - centralized logs in the cloud or on premise we might provide winston-logsene
Thank you for your attention.