![QUERY CACHE EXAMPLE
qRet = queryExecute(
sql:"SELECT TOP 10 name, zip FROM customers",
options: {
cachedWithin:0.1
datasource:"test",
tags: ["Test1", "Test2"]
}
);](https://image.slidesharecdn.com/cachingstrategieswithlucee-171024113115/85/Caching-strategies-with-lucee-43-320.jpg)
Ad
More Related Content
What's hot (17)
Similar to Caching strategies with lucee (20)
Ad
Recently uploaded (20)
![Download Wondershare Filmora Crack [2025] With Latest](https://cdn.slidesharecdn.com/ss_thumbnails/neo4j-howkgsareshapingthefutureofgenerativeaiatawssummitlondonapril2024-240426125209-2d9db05d-250419-250428115407-a04afffa-thumbnail.jpg?width=560&fit=bounds)
![Pixologic ZBrush Crack Plus Activation Key [Latest 2025] New Version](https://cdn.slidesharecdn.com/ss_thumbnails/fashionevolution2-250322112409-f76abaa7-250428124909-b51264ff-250504160528-fc2bb1c5-thumbnail.jpg?width=560&fit=bounds)
Ad
Caching strategies with lucee
- 1. Lucee Caching Strategies Gert Franz Rasia GmbH
- 2. WHO AM I? • Gert Franz – Involved with Lucee and Railo since day 1 – Into CFML for 17 years – DBA, System architect – CFML Passionate • Rasia is founding Member of the Lucee Association
- 3. MY EVOLUTION Assembler Basic Clipper Pascal Delphi Java CFML Lucee
- 4. WHO AM I? • Studied Astrophysics in Munich • Basic, dBase, Clipper, Visual Basic, Delphi, Java • Performance, DB & Code Tuning is my professional Hobby • I live in Switzerland • Lucee training, consulting, support etc.
- 7. WHY? • Many server side operations are time consuming – Database, function calls, CFCs, CFHTTP, web services – "It works on my machine" effect – Tons of traffic make it necessary
- 8. So clearly Caching makes sense
- 9. CACHING UPS AND DOWNS • Pro’s – Well yes, can’t really get faster than that – Mostly depends on the storage mechanism – Obviously RAM is the best location
- 10. CACHING UPS AND DOWNS • Con’s – Well the only downside is the topicality / relevance of the data.
- 11. OK GOT IT, CFML HOW, WHAT? • Your server is the clerk • It waits for requests • It checks places to retreive information • It takes time to do so
- 12. SO HOW DOES THIS LOOK LIKE
- 14. CACHES DRIVERS • Cache in Lucee is an interface what and where can I cache • Drivers are how you can store the data cached
- 16. AVAILABLE CACHES • PagePool • Object • Template • Function • Include • HTTP • Query • Webservice • File • Other
- 18. AVAILABLE DRIVERS • RAM • EHCache • EHCache Remote • Mongo DB • Redis • Couchbase * • Memcached • Database • Infinispan
- 20. PAGEPOOL CACHE • Used whenever Lucee is supposed to execute a .cfm file • Choose between never, once and always • Data in cache can be listed (pagePoolList()) • Data can be cleared (pagePoolClear()) • Can not be used with a driver
- 21. PAGEPOOL CACHE
- 23. OBJECT CACHE • Cache used with cacheGet() cachePut() etc. • Is also used with the tag cfcache action get/put • Can be used with any driver
- 25. TEMPLATE CACHE • Cache used with tag cfcache actions – Content – Cache – serverCache • Can be used with any driver
- 27. FUNCTION CACHE • You can use the attribute cachedwithin for functions • Deterministic functions can be cached • Function will NOT be executed, • return value will be returned and content will be generated • Can be stored with any driver
- 28. FUNCTION CACHE EXAMPLE struct function calcEnvironment(required string sUserAgent) cachedWithin="0.1" { some regexp stuff some db stuff return stEnv; }
- 30. INCLUDE CACHE • I guess we were smoking pot when we designed this • Includes can be cached. Prevents execution and cached content will be rendered (functionality is IMHO incomplete) • Can be stored with any driver
- 31. FUNCTION CACHE EXAMPLE include "myFile.cfm" cachedWithin="0.1";
- 33. HTTP CACHE • The implementation is quite useful since CFHTTP calls are very time consuming • Just add the cachedwithin attribute to it • It will cache the CFHTTP.fileContent • Can be stored with any driver
- 34. FUNCTION CACHE EXAMPLE http url="http://www.google.com" cachedWithin="0.1";
- 36. WEBSERVICE CACHE • Is a new type of cache which allows you to cache web services • Just add cachedwithin to the cfinvoke call • Can be stored with any driver
- 38. FILE CACHE • Is a new type of cache which allows you to cache file actions • Just add cachedwithin to the cffile call • In addition the file functions allow the argument as well • Can be stored with any driver
- 42. QUERY CACHE • For sure the most used caching feature • Uses the sql, the params and the datasource as keys • Can be stored with any driver
- 43. QUERY CACHE EXAMPLE qRet = queryExecute( sql:"SELECT TOP 10 name, zip FROM customers", options: { cachedWithin:0.1 datasource:"test", tags: ["Test1", "Test2"] } );
- 44. QUERY CACHE EXAMPLE objectCache action="clear" tags="Test1";
- 45. QUERY CACHE UNDER THE HOOD • Lucee stores the result of the query in the cache • It creates a hash of the SQL, the params and the other attributes • When the time is up, the cached element will be removed from cache
- 46. QUERY CACHE UNDER THE HOOD • When the query is reexecuted Lucee will return a pointer to the cached query • It will always be a pointer to the query UNLESS…?
- 48. CACHING UNDER LOAD • Caching often helps solving performance problems
- 50. THE PROBLEM UNDER LOAD • Do you really know how the application is used • Without tons of logging • Without DB profiler turned on • Without Application monitoring • Without accumulation of data ?
- 52. LEGACY APPLICATIONS • Old, not perfectly maintained • Take a lot of time to investigate (Missing knowledge) • Perhaps not worth rewriting • Old developer perhaps not available • Memory hog • Complex and large • Hard to tune Expensive to tune
- 54. HOW TO TUNE A LEGACY APPLICATION • Invest many resources • Build up knowledge • Have an expert look at the code • Rewrite the whole app • In short it is expensive
- 55. ARGUSCACHE The best way to speed up your apps
- 56. • Designed for existing applications • Analyzes the application behavior • Analyzes the resources used • Runs in the background Here comes ARGUSCACHE
- 57. • Allows you to see what's going on • Shows you whether you have potentioal for optimization • Shows you the potential performance gain ARGUSCACHE dashboard
- 58. The dashboard
- 59. • Running in the cloud • Handling clusters • Handling many web contexts • Nice dashboard to manage everything Current development
- 60. • 99.- US$ / month per context • CFCamp Promo for early signups and testers • Site licence available • Higher Discounts for support contract customers Pricing
- 62. TALK TO ME / US • Come see me or Micha at the Lucee booth • Contact us [email protected], [email protected] • Challenge your application • Get highly dicounted license of ArgusCache
Editor's Notes
- #7: Take a real life example. If you are to do all the same all the time, you go nuts. Just imagine you work in a store at the entrance and some customer comes to ask you how much a loaf of bread is. You walk into the store and have a look at the price sign of the bread. You write the price down on a sheet of paper and walk back to the customer which all in all takes you 2 minutes and tells him the price. And then you throw the piece of paper away!!!!!! And then, a bit later the next customer comes and guess what: He asks the same question. And you go, why me? My one job… But then you think, why should I throw the paper away when I am back?
- #9: But what if the price of the loaf of bread is a dynamic thing which is dependent on the weight and the customer wants to have the exact price?
- #11: My son and I were discussing the topic of cached data and I told him that caching is extremely important when you have tons of transactions going on. So he proposed that banks, who have millions of transactions should take advantage of caching. How I wish my current amount on the bank was cached.
- #13: What about moving this to an external storage like Couchbase? Or MongoDB or any other cache Driver (let's look at this later)
- #15: For example, you can cache queries in Lucee with the attribute «cachedwithin» and choose to store the data in MongoDB OUTSIDE of the server memory.
- #19: * By Ortus
- #21: Similar to the trusted cache
- #24: Cfcache action content caches everything between the opening and closing tag by the attribute «key»
- #26: Cfcache action content caches everything between the opening and closing tag by the attribute «key»
- #28: Real life example with the user_agents
- #31: Real life example with the user_agents
- #41: Used for caching component calls and custom tag calls
- #44: You can clear all the queries from cache which are tagged with the tag "Test1"; And how do you do that?
- #45: You can clear all the queries from cache which are tagged with the tag "Test1";
- #47: This is a difference between ACF and Lucee here
- #49: Just save the result of expensive operations, for later reuse As seen above, some features do it automatically, some must be indicated, and others must be implemented manually Yet you can’t use it blindly, you have to understand the impact of caching Never using caching is likely also bad
- #51: Any one or more of these would make a query a good candidate for caching Called very frequently Whether in a page, across many pages, or even many users Or returns data that takes long to gather Or returns data that does not change frequently Or has no or a small number of input arguments causing variation in SQL Given the limiter for cached queries CachedAfter better suited when data being cached is updated at a set time (like 2am)