Skip to main content

Toolkit - Performance

Image
By
This post if part of a series about the File System Toolkit - a custom content delivery API for SDL Tridion.

This post presents performance data that was captured for each major functionality with and without caching Linking, CP Assembler, Component Presentation Factory, Dynamic Content Queries, Model Factory.

The data was captured on a 2014 Macbook Pro 15", 16 GB RAM, 2.6 GHz Intel Core i7 running OS X El Capitan.

Test methodology: each test was run for 3 minutes and the total number of successful Toolkit API calls was measured. Then the number of calls per second was computed 'with cache' and 'without cache' test runs. Then a cache boost factor was calculated by diving (the number of API calls with cache) / (number of API calls without cache).

Each cache test was executed 3 times, with different cache time-to-live values of 1 second, 5 seconds and 0 seconds (eternal cache, no expiration). The rationale is to see what impact different cache expiration/eviction values have on the overall performance.

Then finally the entire suite of tests was run twice in order to calculate averages.

Model Factory

Only read model operations were calculated. The reasoning is that Deployer extension is the only one that creates / writes the JSON files and as such that operation is much less frequent than read operations that are used all the time during the normal functioning of the Toolkit.

Models read per second: 1.9m (with cache) and 26k (without cache)
Cache boost: 73x

Model Factory read performance


Link Factory

The test executed component, page and binary links. Each LinkFactory method was executed and counts as one API call.

Links resolved per second: 383k (with cache) and 26k (without cache)
Cache boost: 15x

Link Factory resolve performance


Component Presentation Factory

The test executed getComponentPresentation and getComponentPresentationWithHighestPriority factory calls. Each call counts as one API call. Each factory calls makes one ModelFactory read call, so the times below include also the ModelFactory call duration.

CPFactory calls per second: 3.2m (with cache) and 24k (without cache)
Cache boost: 135x

Component Presentation Factory read performance

Component Presentation Assembler

The test executes a getComponentPresentation factory method which counts as one API call. The call includes a CPFactory call, so the times below include also the CPFactory call duration.

CPAssembler calls per second: 55k (with cache) and 17k (without cache)
Cache boost: 3x

Component Presentation Assembler performance

Dynamic Content Query

The dynamic content queries are not cached. Therefore, the times below are pretty much the same. The tests were executed using different combinations of query criteria (custom meta, schema, date ranges, pagination, and vs or complex queries). Each query counted as one API call. The numbers below represent an average duration of each of these queries. No models were created during the dynamic queries, the queries simply returned the TcmUri of the identified items.

Dynamic queries per second: 6.8k

Dynamic Query performance


Labels:

Comments

Post a Comment

Popular posts from this blog

Scaling Policies

By
This post is part of a bigger topic Autoscaling Publishers in AWS . In a previous post we talked about the Auto Scaling Groups , but we didn't go into details on the Scaling Policies. This is the purpose of this blog post. As defined earlier, the Scaling Policies define the rules according to which the group size is increased or decreased. These rules are based on instance metrics (e.g. CPU), CloudWatch custom metrics, or even CloudWatch alarms and their states and values. We defined a Scaling Policy with Steps, called 'increase_group_size', which is triggered first by the CloudWatch Alarm 'Publish_Alarm' defined earlier. Also depending on the size of the monitored CloudWatch custom metric 'Waiting for Publish', the Scaling Policy with Steps can add a difference number of instances to the group. The scaling policy sets the number of instances in group to 1 if there are between 1000 and 2000 items Waiting for Publish in the queue. It also sets the
Post a Comment
Read more

Running sp_updatestats on AWS RDS database

By
Part of the maintenance tasks that I perform on a MSSQL Content Manager database is to run stored procedure sp_updatestats . exec sp_updatestats However, that is not supported on an AWS RDS instance. The error message below indicates that only the sa  account can perform this: Msg 15247 , Level 16 , State 1 , Procedure sp_updatestats, Line 15 [Batch Start Line 0 ] User does not have permission to perform this action. Instead there are several posts that suggest using UPDATE STATISTICS instead: https://dba.stackexchange.com/questions/145982/sp-updatestats-vs-update-statistics I stumbled upon the following post from 2008 (!!!), https://social.msdn.microsoft.com/Forums/sqlserver/en-US/186e3db0-fe37-4c31-b017-8e7c24d19697/spupdatestats-fails-to-run-with-permission-error-under-dbopriveleged-user , which describes a way to wrap the call to sp_updatestats and execute it under a different user: create procedure dbo.sp_updstats with execute as 'dbo' as
1 comment
Read more

Toolkit - Dynamic Content Queries

By
This post if part of a series about the  File System Toolkit  - a custom content delivery API for SDL Tridion. This post presents the Dynamic Content Query capability. The requirements for the Toolkit API are that it should be able to provide CustomMeta queries, pagination, and sorting -- all on the file system, without the use third party tools (database, search engines, indexers, etc). Therefore I had to implement a simple database engine and indexer -- which is described in more detail in post Writing My Own Database Engine . The querying logic does not make use of cache. This means the query logic is executed every time. When models are requested, the models are however retrieved using the ModelFactory and those are cached. Query Class This is the main class for dynamic content queries. It is the entry point into the execution logic of a query. The class takes as parameter a Criterion (presented below) which triggers the execution of query in all sub-criteria of a Criterio
Post a Comment
Read more