Welcome!

Open Source Cloud Authors: Stackify Blog, Jason Bloomberg, Vaibhaw Pandey, Progress Blog, Liz McMillan

Related Topics: Java IoT, Microservices Expo, Open Source Cloud, Machine Learning , @CloudExpo

Java IoT: Article

Real-World Application Performance with MongoDB

Choosing a data mapping technology

Recently FireScope Inc. introduced the general availability of its Stratis product. Stratis brings all of the FireScope Unify capabilities to the cloud, with the added advantage of a new architecture that delivers near infinite scalability. Moreover, the new Stratis architecture provides scalability at all application layers including its back-end operations, which were newly designed to leverage the benefits of MongoDB. In this article we will discuss several of the architecture choices that were made as part of this effort with the hope that others might benefit from the research and analysis that was performed to bring this product to market.

As background a functioning FireScope deployment has the ability to gather metrics from all forms of existing IT assets, normalize the gathered metrics, provide historical analysis of the metrics, and most importantly provide service views for worldwide operations which is unparalleled in the IT industry. In the early phases of designing the Stratis product, FireScope undertook significant research into the scalable persistence architectures that were production ready at the time of this effort. FireScope ultimately chose MongoDB for its ability to scale and its flexibility in supporting an easy transition from a relational persistence model to a NoSQL model. While researching MongoDB FireScope took the time to understand the application impact of the following architecture facets:

  1. Data mapping technologies
  2. Minimal field retrieval vs full document retrieval
  3. Data aggregation
  4. Early space allocation

In this article we detail each of the above mentioned research efforts and discuss the impact that our subsequent choices had on the FireScope Stratis product.

Application performance was a key driver in all research activities. Even though we were deploying these new application elements to the cloud, ignoring the importance of performance would mean more resources would be needed to get the job done. It's also worth noting that not all applications have the same considerations, so what may be an appropriate technology or architecture choice for FireScope Stratis might not be the appropriate choice for your application. With that said, let's address these research efforts in more detail.

Data Mapping Technologies
The FireScope Stratis application accesses persistent storage via Java, and PHP. As a result, we needed to make persistence access choices that would be compatible between Java and PHP. While Java and PHP were both requirements the main performance driven consideration was access via Java. In considering how to get information into and out of the database with Java, FireScope researched access using the following two approaches:

  1. Java Mongo driver with an in-house developed DAO layer
  2. Spring Data

We built narrowly focused prototype access solutions using both of these options. We saved and retrieved the same large graph of objects and compared the relative performance for each approach. One of the key findings in this analysis was the performance impact of "single binding" versus "double binding" of retrieved data.

When data is returned via the MongoDB Java driver each document is returned in the form of a HashMap where the fields of the persisted document form the keys of the HashMap and the corresponding values associated with each field are stored as HashMap values. FireScope designed its domain model to use getters and setters that simply accessed the appropriate field in the HashMap and ensured that each corresponding field has the correct Java type. In this model there is no additional overhead to bind each field to a corresponding Java field, we simply referenced the data in the HashMap. We refer to this model as "single binding" because the only binding performed is that of the Mongo Java driver.

By contrast, when Spring Data is used to render a document from MongoDB all fields in the HashMap returned by the Mongo Java driver are subsequently bound to a member field in the appropriate Java object. This binding is performed using reflection during the object retrieval process. We refer to this model as "double binding" because the initial HashMap rendering is then reflectively bound to the appropriate Java object fields and the initial HashMap is subsequently discarded.

In our comparative analysis we found that the "double binding" process used by Spring Data carried with it a performance overhead of greater than 2X but less than 4X. These comparative results were derived from multiple runs using each technology retrieving and saving the same large data graph on the same hardware. Furthermore, we alternated between technology choices in order to prevent differences in class loading, network, CPU, disk, and garbage collection from obscuring the analysis results.

Please do not take from the above that I have some issue with Spring Data. I absolutely love Spring, and nearly everything they do is 100% top notch! It just so happens that in this instance our performance-centric considerations directed us away from the use of Spring Data for FireScope's Stratis back-end operations. We do however use Spring in nearly every other area of the FireScope Stratis product. As a final thought, we also briefly considered the use of Morphia, but due to time constraints we never completed a comparative analysis using Morphia.

Minimal Field Retrieval
One of the key performance impacting areas of the FireScope Stratis product is the data normalization engine. Every metric retrieved by FireScope passes through this engine and as a result the ability to do more with less is critically important to FireScope. In an effort to verify our architecture choices, FireScope performed another analysis comparing the relative performance of retrieving all fields of a queried document to an alternative scenario where only one-fourth of the full fields were retrieved. The intent here is that many use cases do not need all of the data for a given object. Of course we knew that reducing the bandwidth between the database servers and the application servers would be a good thing, but being new to Mongo we weren't sure if the overhead of filtering some fields from the document would outweigh the benefits of the reduced bandwidth between the servers.

In this analysis we setup long running retrieve / save operations. Once again, we alternated between retrieve / save operations where the full document was passed, and retrieve / save operations where the one-fourth populated document was passed. Alternation was used to prevent the impact of class loading, network, CPU, disk, and garbage collection from obscuring the analysis results. When the one-fourth populated document was used we specified a set of fields for Mongo to retrieve. For the full document no field specification was provided and as a result the full document was retrieved.

The analysis results indicated an overwhelming 9X performance benefit to using limited field retrieval. But be aware that using limited field retrieval also has its downside. If other developers on your team are not keenly aware that the object they just queried for might not have all of its fields populated, then application defects can easily result from using this approach. To avert possible defects, FireScope leverages an extensive unit testing, functional testing, and peer review / test process to ensure that such defects do not arise.

Data Aggregation
A portion of the section is based on ideas from this blog.

We acknowledge and thank Foursquare Labs Inc. for its contributions.

The suggestion offered in the blog is to aggregate a series of historical entries into a single document, rather than creating a separate document for each historical record. The motivation for aggregation is to improve the locality of associated information and as a result improve its future access time. While the FireScope system performance is not driven by user access, it does rely extensively on aggregated historical metrics collected throughout a day and we leveraged aggregation to achieve improved locality.

What was not discussed in the Foursquare Labs blog was a second and equally significant benefit of aggregation which is a huge reduction in the size of an index for the FireScope historical records. For those not familiar with Mongo it is important to understand that Mongo attempts to keep all indexes in memory for fast access. As a result any reduction in the size of an index allows Mongo to keep more data in memory which improves overall system performance.

For better understanding consider the following two data storage scenarios where a reference id, time stamp, and value of several collected metrics are stored using two alternative approaches:

  1. Collected metrics are simply added to a collection which is indexed on the ref_id + time fields.
    { ref_id : ABC123, time : 1336780800, value : XXX }
    { ref_id : ABC123, time : 1336780800, value : ZZZ }
  2. All collected metrics for one day are added to an array. The document for the day is indexed on the ref_id and midnight fields.
    { ref_id : ABC123, midnight : 1336780800, values : [ time : 1336780805, value : XXX, ... ] }

Note that for option 1 both the ref_id and the time are two elements in an index. If the system collects this metric once every 5 minutes, then the system would collect 288 ref_id, time, value entries in one day. If each entry is added to an index then the corresponding index size will be significantly larger for option 1 above than for option 2, because option 2 does not index the actual collection time but only midnight of the current day. As a result, the index size is reduced nearly 300 to one due to the aggregation of data with no loss of information.

Early Space Allocation
If documents are created from metrics collected throughout the day, then both space allocation, as well as index updates are required throughout the day as a part of normal business operations. As discussed above if documents are nested then locality of accessed information is improved. But if normal operations append to an existing document then in most instances, the document must be moved and all associated indexes must be updated in order to accomplish the document append operations.

With FireScope Stratis optimal update operations are achieved by allocating a full days worth of history records for each expected metric. Each history record contains default values for the expected collection interval. The space for one day's worth of data is created in a scheduled operation that is run once per day. Then as metrics are collected throughout the day the appropriate bucket (array entry) is simply updated. Since the update does not change the size of the document no document movements are needed throughout the day nor are index updates needed. The end result is a system that achieves optimal performance. While I am unable to share actual performance metrics for this approach, I can share that the relative performance difference is significant. It is also worth noting that you would need to take great care in measuring the performance impact of this architecture choice because MongoDB has the inherent ability to queue update operations, thus masking the real performance benefit of this enhancement.

Conclusion
If you are undertaking a transition to MongoDB, or new development on MongoDB then choosing a data mapping technology wisely can have a significant impact on your application performance. Consider also the performance benefits of Minimal Field Retrieval, Data Aggregation, and Early Space Allocation as vehicles to optimize your applications' performance. You may also realize additional benefits, such as the reduced network bandwidth that comes with minimal field retrieval, and the reductions of index size that might result from data aggregation. We sincerely hope that you have benefited from the time invested in reading this article and wish you the best in all of your Mongo development endeavors.

References

More Stories By Pete Whitney

Pete Whitney is a Solutions Architect for Cloudera. His primary role at Cloudera is guiding and assisting Cloudera's clients through successful adoption of Cloudera's Enterprise Data Hub and surrounding technologies.

Previously Pete served as VP of Cloud Development for FireScope Inc. In the advertising industry Pete designed and delivered DG Fastchannel’s internet-based advertising distribution architecture. Pete also excelled in other areas including design enhancements in robotic machine vision systems for FSI International Inc. These enhancements included mathematical changes for improved accuracy, improved speed, and automated calibration. He also designed a narrow spectrum light source, and a narrow spectrum band pass camera filter for controlled machine vision imaging.

Pete graduated Cum Laude from the University of Texas at Dallas, and holds a BS in Computer Science. Pete can be contacted via Email at [email protected]

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


@ThingsExpo Stories
"Cloud Academy is an enterprise training platform for the cloud, specifically public clouds. We offer guided learning experiences on AWS, Azure, Google Cloud and all the surrounding methodologies and technologies that you need to know and your teams need to know in order to leverage the full benefits of the cloud," explained Alex Brower, VP of Marketing at Cloud Academy, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clar...
"MobiDev is a software development company and we do complex, custom software development for everybody from entrepreneurs to large enterprises," explained Alan Winters, U.S. Head of Business Development at MobiDev, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that CrowdReviews.com has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5–7, 2018, at the Javits Center in New York City, NY. CrowdReviews.com is a transparent online platform for determining which products and services are the best based on the opinion of the crowd. The crowd consists of Internet users that have experienced products and services first-hand and have an interest in letting other potential buye...
"There's plenty of bandwidth out there but it's never in the right place. So what Cedexis does is uses data to work out the best pathways to get data from the origin to the person who wants to get it," explained Simon Jones, Evangelist and Head of Marketing at Cedexis, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
"Space Monkey by Vivent Smart Home is a product that is a distributed cloud-based edge storage network. Vivent Smart Home, our parent company, is a smart home provider that places a lot of hard drives across homes in North America," explained JT Olds, Director of Engineering, and Brandon Crowfeather, Product Manager, at Vivint Smart Home, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
"IBM is really all in on blockchain. We take a look at sort of the history of blockchain ledger technologies. It started out with bitcoin, Ethereum, and IBM evaluated these particular blockchain technologies and found they were anonymous and permissionless and that many companies were looking for permissioned blockchain," stated René Bostic, Technical VP of the IBM Cloud Unit in North America, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Conventi...
WebRTC is great technology to build your own communication tools. It will be even more exciting experience it with advanced devices, such as a 360 Camera, 360 microphone, and a depth sensor camera. In his session at @ThingsExpo, Masashi Ganeko, a manager at INFOCOM Corporation, introduced two experimental projects from his team and what they learned from them. "Shotoku Tamago" uses the robot audition software HARK to track speakers in 360 video of a remote party. "Virtual Teleport" uses a multip...
SYS-CON Events announced today that Telecom Reseller has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
Coca-Cola’s Google powered digital signage system lays the groundwork for a more valuable connection between Coke and its customers. Digital signs pair software with high-resolution displays so that a message can be changed instantly based on what the operator wants to communicate or sell. In their Day 3 Keynote at 21st Cloud Expo, Greg Chambers, Global Group Director, Digital Innovation, Coca-Cola, and Vidya Nagarajan, a Senior Product Manager at Google, discussed how from store operations and ...
In his session at 21st Cloud Expo, Carl J. Levine, Senior Technical Evangelist for NS1, will objectively discuss how DNS is used to solve Digital Transformation challenges in large SaaS applications, CDNs, AdTech platforms, and other demanding use cases. Carl J. Levine is the Senior Technical Evangelist for NS1. A veteran of the Internet Infrastructure space, he has over a decade of experience with startups, networking protocols and Internet infrastructure, combined with the unique ability to it...
Gemini is Yahoo’s native and search advertising platform. To ensure the quality of a complex distributed system that spans multiple products and components and across various desktop websites and mobile app and web experiences – both Yahoo owned and operated and third-party syndication (supply), with complex interaction with more than a billion users and numerous advertisers globally (demand) – it becomes imperative to automate a set of end-to-end tests 24x7 to detect bugs and regression. In th...
SYS-CON Events announced today that Evatronix will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Evatronix SA offers comprehensive solutions in the design and implementation of electronic systems, in CAD / CAM deployment, and also is a designer and manufacturer of advanced 3D scanners for professional applications.
It is of utmost importance for the future success of WebRTC to ensure that interoperability is operational between web browsers and any WebRTC-compliant client. To be guaranteed as operational and effective, interoperability must be tested extensively by establishing WebRTC data and media connections between different web browsers running on different devices and operating systems. In his session at WebRTC Summit at @ThingsExpo, Dr. Alex Gouaillard, CEO and Founder of CoSMo Software, presented ...
Leading companies, from the Global Fortune 500 to the smallest companies, are adopting hybrid cloud as the path to business advantage. Hybrid cloud depends on cloud services and on-premises infrastructure working in unison. Successful implementations require new levels of data mobility, enabled by an automated and seamless flow across on-premises and cloud resources. In his general session at 21st Cloud Expo, Greg Tevis, an IBM Storage Software Technical Strategist and Customer Solution Architec...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, whic...
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. In his session at @BigDataExpo, Jack Norris, Senior Vice President, Data and Applications at MapR Technologies, reviewed best practices to ...
An increasing number of companies are creating products that combine data with analytical capabilities. Running interactive queries on Big Data requires complex architectures to store and query data effectively, typically involving data streams, an choosing efficient file format/database and multiple independent systems that are tied together through custom-engineered pipelines. In his session at @BigDataExpo at @ThingsExpo, Tomer Levi, a senior software engineer at Intel’s Advanced Analytics gr...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things’). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing? IoT is not about the devices, it’s about the data consumed and generated. The devices are tools, mechanisms, conduits. In his session at Internet of Things at Cloud Expo | DXWor...
Everything run by electricity will eventually be connected to the Internet. Get ahead of the Internet of Things revolution. In his session at @ThingsExpo, Akvelon expert and IoT industry leader Sergey Grebnov provided an educational dive into the world of managing your home, workplace and all the devices they contain with the power of machine-based AI and intelligent Bot services for a completely streamlined experience.
SYS-CON Events announced today that Synametrics Technologies will exhibit at SYS-CON's 22nd International Cloud Expo®, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Synametrics Technologies is a privately held company based in Plainsboro, New Jersey that has been providing solutions for the developer community since 1997. Based on the success of its initial product offerings such as WinSQL, Xeams, SynaMan and Syncrify, Synametrics continues to create and hone inn...