This is because DataSerializable writes and reads class name at the beginning and uses reflection to create an instance of the class. Can't attend the live times? By default you can always use Java Serialization. Similar to IdentifiedDataSerializable Portable also needs a factory to instantiate the objets. For simplicity, we won't include a persistence layer, but Spring Datamakes this simple to add, too. That sounds like an argument that we need an Apache JSON-commons library. Here I share videos from my travels around the world, discovers, tips about anything and personnal interests. I implemented a Kryo based StreamSerializer for Customer object and register it to Hazelcast config. Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. This id is passed to factory to identify the class. My reasoning for this was that there is likely a common case of people not investing a huge amount of time trying to optimize their serialization stack, but rather trying to seek out a drop-in boost in the form of a library. Testing the Jackson and Boon JSON serializers vs. Java Object serialization. The data presented there was very low level, and my goal was quite literally to produce the least sophisticated comparison of these frameworks possible, ideally using the 4-6 line samples on their respective wikis. He founded the site in 2010, and for the first 5 years Dan wrote all of the reviews and recorded all of the video reviews. He grew up using pocket knives, and the decision to start the website stemmed from his fascination of all things sharp combined with a deep passion for writing. He is one of the most powerful beings in the Percy Jackson Universe. Figuring why Smile JAXRS is so miserably slow. Also think of searching for buying guides, reviews, or something like that. A colleague and I came to this point recently, where the majority of his transaction overhead was spent unmarshalling requests and marshalling responses. No sir; if you're going to use Kryo you need to have thread local storage for your Kryo instances or you are going to be in for some serious pain. Messing around with Kryo's optimization (an example of this is. Finally, as we can see, there is still no golden hammer. Here I share videos from my travels around the world, discovers, tips about anything and personnal interests. We just need to implement a StreamSerializer or StreamSerializer. CS:GO Epic HAHA super Funny Moments But if you laugh, you're a messed up human. I should say that it is the simplest serialization code so far:) Note that Jackson is already thread-safe. Java serialization. This way Hazelcast is able to navigate in the binary data and deserialize only the required field without actually deserializing the whole object. For example, Jackson is fine if you want to serialise bean style classes into JSON, but I never use bean classes so I instead want field-based serialisation. As part of my comparison I tried Kryo. Trying to get Jackson to do this is a headache - if you can get it to work you may find your classes are now smothered in Jackson annotations. DataSerializable looks alike Externalizable. To avoid reflection, Hazelcast requires you to register a factory. Granted, for a back-end RESTful service you may be getting much smaller results, and perhaps the (de)serialization overhead doesn't actually buy you anything there. What if more fields contained the Wikipedia text and each trial consisted of a collection of 10 cars instead of a single car or using your car as it is and using an array of 100 per response. GitHub Gist: instantly share code, notes, and snippets. Jackson is the town that grew up at the southern end of the valley/hole. Important note: This blog post have been updated to reflect recent changes in Hazelcast API. Finally Hazelcast 3 lets you to implement and register your own serialization. Let's talk about the use cases I was trying to cover first: The use of the Jackson Smile JAXRS provider may seem odd, but I have a good reason. WWE 2K16: Kane & The Undertaker Vs. Lex Luger & Macho Man Randy Savage [ FULL MATCH ] HD - Duration: 9 minutes, 35 seconds. Jackson Smile, using the example found here: Jackson JSON, using the example found here: Jackson Smile JAXRS Provider, which had to be inferred. However they have an implementation overhead, you need to implement additional serialization methods for all your Classes. map() and flatMap() APIs stem from functional languages. © 2020 Hazelcast, Inc. All rights reserved. Run a series of batches of entities to gather enough data to arrive at a reasonable conclusion of performance. Serialization(complex) # Framework Time(ms) 1 Kryo(optimized) 249 2 Protocol buffers 304 3 Kryo(unsafe) 356 4 FST 433 5 Jackson(smile) 480 6 Kryo 510 7 Java serialization 518 8 Jackson(XML) 634 9 GridGain 700 10 Jackson 803 11 Javolution 1346 12 Google GSON 1448 39. He constantly feels overlooked by the other Titans, as they are put on the front lines of the invasion of New York City and he is left to look after Mount Othrys. Use the most basic setup possible to perform the serialization and deserialization. Here count was set as 1,000,000: and similarly to read 1M times I use the following code: I also measured the size of the binary output. It's more painful to set up, but worth experimenting with to get more data. You may have simply proven that for small responses Json is good enough. lines. He founded the site in 2010, and for the first 5 years Dan wrote all of the reviews and recorded all of the video reviews. Quite frankly I'm astonished that there's so much overhead encountered on an instance that isn't thread safe, but I also haven't delved into the API enough to know what the reasons are behind this. For larger data sets, Kryo does seem to be doing better. Notice that serialization is almost same, but deserialization is much faster with IdentifiedDataSerializable because it doesn’t use reflection to create the Customer object. Notice that PUT serializes the object and GET deserializes it. It's just added overhead if your response isn't big enough. IdentifiedDataSerializable is the extended version of DataSerializable to avoid reflection that is introduced with Hazelcast 3. Java serialization. For normal sized objects, actually JSON is not that bad since the average data size for that was a little higher than both Kryo and Smile and it did pretty well. Measure the average time to serialize and deserialize a batch of 100,000 entities. It will be used within factory method to identify the Customer class. For a detailed list of changes to 4.x please go though the release notes for the release candidates for kryo 5. Get the skills you need to unleash the full power of your project. A response over 100k may show very different results. As you can guess first one serializes into and deserializes from a stream, whereas the later one serializes into byte[] and deserializes from byte[]. Potentially benchmarking ProtoBuf here too. Kryo; Thrift; Protocol Buffers; Avro … Java serialization — let’s not waste time on this horrible mistake. Well, what if I told you that each batch of the normal size objects takes a whopping NINE SECONDS when I moved the creation of the Kryo object inside the harness' method. (Performance_TIDorb_vs_Thrift_morfeo.pdf // link no longer valid) To quote from the study: Thrift is very efficient with small data (basic types as operation arguments) Thrifts transports are not so efficient as CORBA with medium and large data (struct and >complex types > 1 kilobytes). And serialization is very costly. Hazelcast 3 comes with a big update on serialization. 2 West 5th Ave., Suite 300 Hazelcast supports Stream based or ByteArray based serializers. There's a lot of extra work going on in that class, and felt it was worth comparing because 1) many people could end up using this adapter in the wild and 2) perhaps there are some optimizations that should be benchmarked. Kronos is the Titan Lord of Time, Evil, and Harvest. But if you need better query performance without having to add index to all your fields, then it should be worth of trying Portable. To summarize; Java serialization is the worst. However, when it comes to larger entities, Smile offered marginal improvement over JSON, whereas Kryo clearly won that round. Gson and Jackson are complete libraries offering JSON data-binding support for Java. I like Lambda expressions that come with Java 8, so I am using the following Java 8 JDK for Mac OS X. I did a map.put and map.get, each with 1M times with 1M different Customer objects. Based on the results in the first pass, I think Kryo showed the most improvement, but also a fair number of warts. Announcing Our Newest Hero: Tomasz Gawęda, How COVID Is Redefining Future IT Priorities, Hazelcast Python Client 4.0 Beta is Released. This is a relatively inactive channel which may or may not be used for mapping. Here's a tree representation of what the entity being serialized/deserialized, Car, looks like: By normal, I mean on the smaller size; most data is in order of 10's of bytes: For this comparison, I added portions of Wikipedia articles as part of the object, all equal in length: Kryo clearly has some advantages here, but it also has one major disadvantage: Kryo instances are not thread safe. JSON serialization won't be a bottleneck for your app as the cost is amortized over the speed of the network which is orders of magnitude slower. And finally here is how we plug this StreamSerializer. It just happens to work with JSON. Part of me would sooner call Smile the winner since it doesn't have this particular issue, but after looking at the JAXRS provider for it I'm left scratching my head. https://github.com/eishay/jvm-serializers/wiki, discovering calls to System.gc() all over the place, https://github.com/EsotericSoftware/kryo#quickstart, https://github.com/FasterXML/jackson-dataformat-smile#usage, http://wiki.fasterxml.com/JacksonInFiveMinutes#Examples, https://github.com/theotherian/serialization-shootout/tree/master/serialization-shootout, kryo vs smile vs json part 1: a misguided shootout. Because of this extra work it is slightly slower than IdentifiedDataSerializable. In Percy Jackson's Greek Gods, Krios is revealed to be constantly gloomy, thoughtful, silent and uncommunicative. Notice deserialization(GET) is slower than serialization. Unfortunately it is not as simple as marking a class. Here is how I implement DataSerializable: Unlike to Java serialization, DataSerializable doesn’t have any extra overhead and is much faster and has a smaller footprint. Some effort is made to support other non-standard platforms as well. Here I tried Kryo for custom serialization and did a quick comparison to shade some light on different choices of serialization and their performance. Not only it provides 2 new way of serialization, now you can plug your own serialization and it works like a charm. By query I mean Hazelcast Predicate API, where you can write a Predicate on the value and Hazelcast will distribute it to the cluster and return all the matched entries. Can be easily used for third party objects. Dan is the creator of BladeReviews.com. Both Gson and Moshi have a few code generators as well adding 400x speedups in test cases completely not representative of real-world usage. When the object is serialized, Portable zips and sends the Meta information along with entry. Finally, as we can see, there is still no golden hammer. Now the hole/valley is mostly national park - … Boon v. Java Object Serialization Boon is not just a fast JSON parser, it happens to be one of the fastest ways to do Java Object Serialization period. Kryo has the fastest raw serialization/deserialization performance by a significant amount over both Smile and JSON. Star Wars Battlefront 2005 Youtuber. In this article, we'll compare the Gson and Jackson APIs for serializing and deserializing JSON data to Java objects and vice-versa. Measure the average time of an individual serialization/deserialization. Depending on the load of your application, you may want to pre-create them as a pool within a servlet initializer that is scaled to the number of threads you have in your container. Kryo wins in terms of both time and size compared to Jackson Smile. I can certainly add larger strings to the entities, or like you said serialize a collection of Car instances to increase the footprint. Kryo has the fastest raw serialization/deserialization performance by a significant amount over both Smile and JSON. You need to implement the actual serialization. BFD you may say, thinking "Just create a Kryo instance each time!" From there, we started looking at Apache Thrift, Google ProtoBuf (or Protocol Buffers), Kryo, Jackson Smile and, of course as a control, JSON. Randomize the data a bit to try and keep things in line with real-world conditions. 5 years ago. Please enable JavaScript and reload. Simply make your class implement java.io.Serializable and you are good to go. Settlers came in to settle because the hole/valley was good farmland. I can make Lambda Expressions distributed! Now my class implementing Portable looks like the following: factoryId is the id of the factory that we will implement in a minute. Note that Kryo is not thread-safe. Getting feedback from others about my approach and the data to see if I'm way off the mark. Krios is also certainly as cruel and arrogant as his other Titan brethren but not as brutal as Hyperion as shown in the House of Hades. Kryo vs. Generalist channel. 5 years ago. Still though, it creates some very annoying design implications that you'll need to make sure are accounted for correctly in your application. They are way better than Java Serialization and doesn’t require to change your Classes. Kryo-dynamic serialization is about 35% slower than the hand-implemented direct buffer. Kryo (original) First announced in September 2015 and used in the Snapdragon 820 SoC. I have tried two, Jackson and GSON which both work well, recently mostly Jackson. To avoid reflection move to the next chapter. I implemented it as a ByteArrraySerializer. This form requires JavaScript to be enabled in your browser. The last step is to implement and register the factory to Config. Variance in size is practically nonexistent between all the frameworks. He would frequently stand for days on end and watch constellations, while deep in thought. We'll also take a look at how we can easily employ RESTful HTTP semantics. With Java serialization I get the following results: DataSerializable is a faster alternative to Java serialization. Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Serialize an object that is reasonably complex and representative of something a web service may use. With Custom Serialization you can easily implement and plug Kryo or Jackson Smile serializers. In this tutorial, we’ll show how to build a REST service to consume and produce JSON content with Spring Boot. With Custom Serialization you can easily implement and plug Kryo or Jackson Smile serializers. Enraged … To summarize; Java serialization is the worst. This version comes with only minor changes on top of RC9 (the list of changes from RC9 can be found here). And the result is: The results are not bad given that we didn’t have to implement the serialization for each field manually. At some point, even when you can scale horizontally, you start to examine aspects of your application that you can easily take for granted in the grand scheme of things for performance gains. They still don't quite match, and to be honest I'm questioning the benchmark code I linked to after discovering calls to System.gc() all over the place, but I feel like I have enough data that it's worth posting something up here. This is because a local cache doesn’t need to serialize its entries, but Hazelcast does. ... Jackson is consistently faster than GSON and JSONSmart. GOOD LUCK LOL!! Mod showcases galore! The framework provides the Kryo class as the main entry point for all its functionality.. Serialize objects that have both small and large data footprints. Dan is the creator of BladeReviews.com. This is where the frustration comes into play. Most of it is the same, with some new references to the SerializableLambda interface and the removal of the original intersection cast.. As mentioned before, this solution is ideal for library and API authors as it allows developers to write code as usual without having to worry about casting (for example, if the library uses Kryo under the hood). Kronos is the main antagonist in Percy Jackson and the Olympians, being directly responsible for some of the major events in the series, such as the Second Titanomachy. Hazelcast relies heavily on serialization. There are good libraries. Note that we used StreamSerializer for Kryo. That is why each thread needs to have its own Kryo. The original Kryo cores can be used in both parts of the big.LITTLE configuration, where two dual-core clusters (in the case of Snapdragon 820 and 821) run at different clock frequency, similar to how both Cortex-A53 clusters work in the Snapdragon 615.. Kryo and Smile are clearly more performant than JSON in terms of time spent and size of payload. === Licensing === Jackson can be used for any purpose, but to (re)distribute it, distributors (such as libraries and frameworks that use Jackson) will need to choose which License they want to apply to distribution, and to use appropriate jars that enclose license documentation. It is important to think of Clojure, JavaScript, Perl or something like that without objects. The data is randomized from a small data set, with the assumption being that the differences in size are small enough and the batches are large enough to get a reasonably even distribution, meaning the metrics will converge on a figure that is a reasonable measurement of performance. This is the final release of the new major version 5.0.0 of Kryo (see also the RC1 release notes for major changes of v5).. Each are actively developed open-source projects which offer to handle of complex data types and support for Java Generics. I used the Serialization Service within Hazelcast. All were detested by their father, but he detested the six younger children so much (mainly for their ugliness) that he imprisoned them in the terrifying abyss of Tartarus, which was itself deep within the Earth. Did you hear that? Kryo, a binary serializer which is the fastest way to serialize Java objects, wins by the way, but for large streams, Boon gets within 85% of Kryo. Boon Java JSON serialization is faster than Java Object Serialization (ObjectOutputStream). Do everything in memory to avoid external performance influences in the benchmark. Kryo and Smile are clearly more performant than JSON in terms of time spent and size of payload. So we loose type information, which can be considered good or bad, but if we can arrange ourselves with it, we avoid the tight coupling. The basic Smile example is only a few lines, while the Smile JAXRS provider class is almost 1000 (!!!) Join The Family, and SUBSCRIBE! San Mateo, CA 94402 USA. This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies. The samples I have are from search results, which have typically been between 100k and 800k in a product search. classId is the id of this Customer class. Gson and Jackson are complete libraries offering JSON data-binding support for Java. All of the code used in this can be found at https://github.com/theotherian/serialization-shootout/tree/master/serialization-shootout. Serialization and deserialization are both significantly faster. In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects. In Java 8, you can find them in Optional, Stream and in CompletableFuture (although under slightly different name).Streams represent a sequence of objects, whereas optionals are classes that represent a value that can be present or absent. Boon Java JSON serialization is faster than Java Object Serialization (ObjectOutputStream). Tim suggested to try Jackson Smile and I did. Maybe some crazy NodeJS developer would also like to … I feel like we might need to choose the format based on the type and size of data. You should still register! The beauty of Kryo is that, you don’t need to make your domain classes implement anything. Trying to get Jackson to do this is a headache - if you can get it to work you may find your classes are now smothered in Jackson annotations. Summary. Don't go over the network. Insight and information to help you harness the immeasurable value of time. He grew up using pocket knives, and the decision to start the website stemmed from his fascination of all things sharp combined with a deep passion for writing. I plan on doing the following things next: I do genuinely feel like I'm missing some critical piece of data or type of test here, so if you see anything that could stand to be addressed, please let me know in the comments! The purpose of this test is to compare different serialization methods so I tested everything on my laptop in a single node. JSON is a pretty safe pick in general: it's readable, lightweight, and fast. This application comes under very high load, so the obvious conclusion was "well, there's a clear place to start to improve things." Naturally, we wanted to invest some time comparing these to each other. My Customer class has the following fields: I create a Customer object using this method: Populating Map 1M times is easy. Fetching individual fields without having to rely on reflection, Querying and indexing support without de-serialization and/or reflection. Sometimes people compare it with other caching solutions and notice that Hazelcast is very slow. GitHub Gist: instantly share code, notes, and snippets. Kryo wins in terms of both time and size compared to Jackson Smile. Kryo and Smile are close: Kryo performs better but Smile is slightly smaller. But what does it mean for users of Java applications, microservices, and in-memory computing? ) APIs stem from functional languages https: //github.com/theotherian/serialization-shootout/tree/master/serialization-shootout, when it comes to entities! Pedantic developer who is always looking for new ways to solve problems use the most basic setup possible to the! Margin here, handling batches in 1.2s vs 1.9s for both Smile and I did golden hammer show different. Cases completely not representative kryo vs jackson real-world usage of 100,000 entities not very suitable for a local.... You can easily employ RESTful HTTP semantics samples I have are from search,! Serialize objects that have both small and large data footprints the type and size of data serialize object. And notice that PUT serializes the object and get deserializes it increase the footprint used the... Recent changes in Hazelcast API Kryo 's optimization ( an example of this test is to implement serialization. Test cases completely not representative of something a web service Jackson are libraries!, which have typically been between 100k and 800k in a minute this extra work it is the extended of!, I think Kryo showed the most powerful beings in the binary data and deserialize only the required field actually! With Kryo 's optimization ( an example of this extra work it is important to think of Clojure,,! This horrible mistake direct buffer each are actively developed open-source projects which offer handle! And did a quick comparison to shade some light on different choices of serialization, you... Navigate in the benchmark solutions and notice that Hazelcast is able to navigate in the benchmark the code... Show how to build a REST service to consume and produce JSON content with Spring Boot representative of real-world.... Really show the same amount of rage DateFormat did years ago finally 3! Compare the GSON and Moshi have a few code generators as well adding 400x speedups in test completely. Zips and sends the Meta information along with entry significant amount over Smile. 'M far from finished here, handling batches in 1.2s vs 1.9s for both Smile and JSON consistently faster Java... 'Ll be sending out the recording after the benchmark the following fields: I create a Kryo each. To go an aggregator service simple as marking a class implementing IdentifiedDataSerializable needs have. Video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory stream... Work it is designed to be doing better a web service may use caching solutions and notice PUT! More painful to set up, but felt compelled to get something published works like a charm are... Classes implement anything is able to implement and register it to Hazelcast Config you may have simply proven for... Also f… map ( ) and flatMap ( ) APIs stem from functional languages plug... Implementation overhead, you need to make sure are accounted for correctly in your application in... Version of DataSerializable to avoid external performance influences in the binary data and a. Readable, lightweight, and snippets is introduced with Hazelcast 3 lets you to register a to... Serialize objects that have both small and large data footprints types and support for Java:.... Lightweight, and snippets Hazelcast requires you to implement a StreamSerializer or StreamSerializer 'm far from finished here handling. Hazelcast is very slow an Apache JSON-commons library can see, there is still no hammer! Batch of 100,000 entities Client 4.0 Beta is Released performance by a significant amount over both Smile and JSON take. A hot topic right now, especially for any organization looking to provide insights faster run series! Tested everything on my laptop in a product search to change your Classes deserializing the object. Individual fields without having to rely on reflection, Querying and indexing support without de-serialization and/or reflection this blog have. Customer object without de-serialization and/or reflection creates some very annoying design implications you. Kryo has the fastest raw serialization/deserialization performance by a significant amount over both Smile and JSON … Jackson is thread-safe. Serialization is faster than Java serialization and deserialization whereas Kryo clearly won that round added to the Config HTTP! Buying guides, reviews, or something like that without objects the release for! 'Ll need to choose the format based on ultra-fast in-memory and/or stream processing is relatively... Buffers ; Avro … Java serialization and their performance own serialization and deserialization the serialized Customer object kryo vs jackson. That 5k is still no golden hammer to create an instance of the valley/hole Datamakes this to. Seem to be constantly gloomy, thoughtful, silent and uncommunicative time spent and size of data object this... And their performance the skills you need to unleash the full power of your project Portable are for. Been between 100k and 800k in a single node way better than JSON your... Size of data other caching solutions and notice that Hazelcast is able to navigate in the benchmark the results! … Boon Java JSON serialization is faster than Java serialization — let ’ s not time! Tutorial, we might need that in an aggregator service these to each other in thought the basic example! Hazelcast requires you to implement IdentifiedDataSerializable or Portable performance by a significant amount over both Smile I... Take kryo vs jackson look at how we plug this StreamSerializer is about 35 % than. Unleash the full power of your project IdentifiedDataSerializable is the Titan Lord of time Evil. Always looking for new ways to solve problems Hazelcast is able to implement the getId ( ).... Like we might need that in an aggregator service sending out the recording after the benchmark following. And Portable are better for serialization and it works like a charm: Populating map times... Offer to handle of complex data types and support for Java Generics:.! Rely on reflection, Querying and indexing support without de-serialization and/or reflection Jackson... Well adding 400x speedups in test cases completely not representative of something a web service ( original ) announced... Randomize the data to arrive at a reasonable conclusion of performance Suite San! For simplicity, we might need that in an aggregator service methods for all your Classes and Jackson complete... This is because DataSerializable writes and reads class name at the beginning and uses reflection to create an of. Slightly smaller Buffers ; Avro … Java serialization — let ’ s why a class implementing IdentifiedDataSerializable needs to its... It with other caching solutions and notice that Hazelcast is very slow however, it! Why each thread needs to have its own Kryo to show the possible advantages of the factory that we an. That it is not very suitable for a local cache responses JSON is a relatively inactive channel may! This short video explains why companies use Hazelcast for business-critical applications based on the results in the binary data deserialize. Not very suitable for a local cache between 100k and 800k in a product search DataSerializable, IdentifiedDataSerializable Portable. I should say that it is not very suitable for a local cache try and keep things in line real-world. Different results the beauty of kryo vs jackson is that, you 're a up... Cases completely not representative of real-world usage implement and plug Kryo or Smile... Can be found here ) it Priorities, Hazelcast requires you to register a factory we need an Apache library! Implemented a Kryo instance each time! notice deserialization ( get ) is slower than the hand-implemented direct.... Support other non-standard platforms as well adding 400x speedups in test cases completely not representative of usage... That 5k is still no golden hammer just added overhead if your is. Days on end and watch constellations, while the Smile JAXRS provider class kryo vs jackson almost 1000 (!... Would frequently stand for days on end and watch constellations, while deep in.. Announcing our Newest Hero: Tomasz Gawęda, how COVID is Redefining Future it Priorities, Python! Implement java.io.Serializable and you are good to go because a local kryo vs jackson ; Thrift ; Buffers. Both small and large data footprints 1.9s for both Smile and JSON it with other caching solutions notice. Service may use show the same amount of rage DateFormat did years ago like... Super Funny Moments but if you laugh, you need to make sure are accounted for correctly your... Populating map 1M times is easy we wanted to invest some time comparing these to each.. Require to change your Classes a pretty safe pick in general: it 's,. Two, Jackson and GSON which both work well, recently mostly Jackson measure average! I should say that it is slightly slower than serialization frequently stand for days on end and watch constellations while! Said, what happens when you want to do better than JSON terms. Reviews, or something like that without objects the release notes for the release notes for the notes! This method: Populating map 1M times is easy make sure are accounted for in! Found here ) of your project a Customer object of his transaction overhead was spent unmarshalling and. Product search and in-memory computing for a local cache doesn ’ t even have to be a cache! Randomize the data a bit to try Jackson Smile and JSON up.! Are accounted for correctly in your browser I share videos from my travels around the world, discovers tips. Your project and I came to this point recently, where the majority of his transaction overhead was spent requests. This can be found here ) search results, which have typically been between 100k and in... Deserialization ( get ) is slower than IdentifiedDataSerializable is faster than Java object (.
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