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Caching Up and
Down the Stack
1
James Meickle
Developer evangelist, AppNeta
@jmeickle
Django Boston Meetup Group
March 26, 2014
2
4
WHAT IS CACHING?
Uncached
Client
Data
Source
3
4
WHAT IS CACHING?
Uncached Cached
Client
Data
Source
Data
Source
Client
Cache Intermediary
4
4
WHAT IS CACHING?
Uncached Cached
Client
Data
Source
Data
Source
Client
Cache Intermediary
Fast
!
Slow...
5
• Images
• CSS
• JavaScript
• HTML documents
• DNS
4
WHAT GETS CACHED BY
CLIENTS?
6
• HTML documents
• HTML fragments
• Operations on data
• Database queries
• Expensive objects
4
WHAT GETS CACHED BY APPS?
7
• Compiled source
• Packages
• Disk access
• Memory access
• CPU instructions
4
WHAT GETS CACHED BY
SERVERS?
8
• Client-side assets
• Full pages
4
CACHING IN DJANGO:
FRONTEND
9
4
OUR SITES
appneta.com
(static site via Jekyll)
10
4
OUR SITES
internal.tracelytics.com
(dynamic single page Pylons app)
11
4
CLIENT-SIDE ASSETS
12
• Use HTTP caches!
• CDN
• Intermediate proxies
• Browser
• Set policy with cache headers
• Cache-Control
• Expires
4
CLIENT-SIDE ASSETS
13
4
CLIENT-SIDE ASSETS
/tl-layouts_base-compiled-757f5eec3603f60850acfdb86e6701cf104f80ae.css
Request Method: GET
Status Code: 304 Not Modified
Cache-Control: max-age=315360000
Connection: keep-alive
Date: Mon, 18 Feb 2013 22:46:12 GMT
Expires: Thu, 31 Dec 2037 23:55:55 GMT
Last-Modified: Tue, 12 Feb 2013 21:10:20 GMT
Server: nginx/0.8.54
14
4
CLIENT-SIDE ASSETS
appneta.com
internal.tracelytics.com
15
4
CLIENT-SIDE ASSETS (IN
DJANGO)
VS
16
• Full pages
• Partial pages
• Objects
• Queries
4
CACHING IN DJANGO: BACKEND
17
4
WE’RE STILL TALKING ABOUT
PAGES?
Client-side
assets
Pages
18
4
FULL-PAGE HTTP CACHING
Client Varnish
Do HTTP caching, but with your rules.
No internet standards necessary!
Webserver
19
• Why do it server-side?
• Invalidation
• Amount cached
• Changing cache policies
4
FULL-PAGE HTTP CACHING
20
4
FULL-PAGE HTTP CACHING (IN
DJANGO)
21
• Full pages
• Partial pages
• Objects
• Queries
4
CACHING IN DJANGO: BACKEND
22
4
FULL-PAGE HTTP CACHING?
appneta.com
24
4
FRAGMENT CACHING
appneta.com
Ruins
everything
25
4
FRAGMENT CACHING
26
4
FRAGMENT CACHING
27
4
FRAGMENT CACHING
28
4
FRAGMENT CACHING (IN
DJANGO)
29
• Full pages
• Partial pages
• Objects
• Queries
4
CACHING IN DJANGO: BACKEND
30
4
OBJECT CACHING
def get_item_by_id(key):
# Look up the item in our database
return session.query(User)
.filter_by(id=key)
.first()
31
4
OBJECT CACHING
def get_item_by_id(key):
# Check in cache
val = mc.get(key)
# If exists, return it
if val:
return val
# If not, get the val, store it in the cache
val = return session.query(User)
.filter_by(id=key)
.first()
mc.set(key, val)
return val
32
4
OBJECT CACHING
@decorator
def cache(expensive_func, key):
# Check in cache
val = mc.get(key)
# If exists, return it
if val:
return val
# If not, get the val, store it in the cache
val = expensive_func(key)
mc.set(key, val)
return val
33
4
OBJECT CACHING
@cache
def get_item_by_id(key):
# Look up the item in our database
return session.query(User)
.filter_by(id=key)
.first()
34
4
OBJECT CACHING (IN DJANGO)
35
• Full pages
• Partial pages
• Objects
• Queries
4
CACHING IN DJANGO: BACKEND
36
4
QUERY CACHING
Cached
Table
Data
DB client
Query
Cache
SQL server
Retrieve results from memory…
…or from memcached…
…or cache in the DB itself!
37
4
QUERY CACHING
mysql> select SQL_CACHE count(*) from traces;
+----------+
| count(*) |
+----------+
| 3135623 |
+----------+
1 row in set (0.56 sec)
mysql> select SQL_CACHE count(*) from traces;
+----------+
| count(*) |
+----------+
| 3135623 |
+----------+
1 row in set (0.00 sec)
38
4
QUERY CACHING (IN DJANGO)
39
4
QUERY CACHING (IN
TRACEVIEW)
Cassandra in TraceView:
Retrieving data from data warehouse
40
4
QUERY CACHING (IN
TRACEVIEW)
Memcache in TraceView:
97%ile is 50ms!
41
• Invalidation
• Fragmentation
• Stampedes
• Complexity
4
WHAT CAN GO WRONG?
42
4
INVALIDATION
Uncached Cached
Client
Data
Source
Data
Source
Client
Cache Intermediary
Invalidation
43
4
INVALIDATION
Drupal:
Automatically cache everything!
44
4
INVALIDATION
Memcache GET performance
45
4
INVALIDATION
Do you know what you’re storing in
this call?
46
4
INVALIDATION
Memcache SET performance
47
4
FRAGMENTATION
“In the beginning there was NCSA Mosaic, and Mosaic
called itself NCSA_Mosaic/2.0 (Windows 3.1), and
Mosaic displayed pictures along with text, and there was
much rejoicing.”
History of the browser user-agent string
48
• On a cache miss extra work is done
• The result is stored in the cache
• What if multiple simultaneous
misses?
• Every node tries to do the same
work at the same time and your
4
STAMPEDES
49
• What caching scheme?
• How many extra servers?
• What happens if they fail?
• What will you do to debug it?
4
COMPLEXITY
50
• The ‘how’ of caching:
• What are you caching?
• Where are you caching it?
• How bad is a cache miss?
• How and when are you
invalidating?
4
TAKEAWAYS
51
• The ‘why’ of caching:
• Did it actually get faster?
• Is speed worth extra complexity?
• Don’t guess – measure!
• Always use real-world conditions.
4
TAKEAWAYS
52
• ?
4
QUESTIONS
53
• Django documentation on caching:
https://docs.djangoproject.com/en/dev/topics/cache/
• Varnish caching, via Disqus:
http://blog.disqus.com/post/62187806135/scaling-django-to-8-
billion-page-views
• Django cache option comparisons:
http://codysoyland.com/2010/jan/17/evaluating-django-caching-
options/
• More Django-specific tips: http://www.slideshare.net/csky/where-
django-caching-bust-at-the-seams
• Guide to cache-related HTTP headers:
http://www.mobify.com/blog/beginners-guide-to-http-cache-
headers/
4
RESOURCES
54
TraceView
Stop by later tonight to hear more
about AppNeta or TraceView 
(make sure to get a sticker!)
April 1: Come drink on our tab
after the Boston Python Meetup
April 11: PyCon! Swing by our
booth (214) for an awesome shirt
Or, just try us out:
THANK YOU!
http://www.appneta.com/products/traceview/

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Caching Up and Down the Stack

Hinweis der Redaktion

  1. Caches that exist at the client or CDN level
  2. Caches that exist within a running application’s code
  3. Caches that exist at the programming language or infrastructure level