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  • OS memory allocation addresses

    - by user1777914
    Quick curious question, memory allocation addresses are choosed by the language compiler or is it the OS which chooses the addresses for the memory asked? This is from a doubt about virtual memory, where it could be quickly explained as "let the process think he owns all the memory", but what happens on 64 bits architectures where only 48 bits are used for memory addresses if the process wants a higher address? Lets say you do a int a = malloc(sizeof(int)); and you have no memory left from the previous system call so you need to ask the OS for more memory, is the compiler the one who determines the memory address to allocate this variable, or does it just ask the OS for memory and it allocates it on the address returned by it?

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  • Linux bizarre memory report

    - by Igor Liner
    I took the following meminfo captures. I don't figure out how the free memory went from 8GB to almost 25GB, when only about 4GB of slab was freed. There was no change of the proccess memory consumption on time the meminfo output was taken. First meminfo with 8GB free memory: MemTotal: 66054256 kB MemFree: 8344960 kB Buffers: 1120 kB Cached: 30172312 kB SwapCached: 0 kB Active: 10795428 kB Inactive: 1914512 kB Active(anon): 10193124 kB Inactive(anon): 1441288 kB Active(file): 602304 kB Inactive(file): 473224 kB Unevictable: 26348912 kB Mlocked: 26348960 kB SwapTotal: 0 kB SwapFree: 0 kB Dirty: 0 kB Writeback: 0 kB AnonPages: 8886304 kB Mapped: 26383052 kB Shmem: 29097904 kB Slab: 6006384 kB SReclaimable: 3512404 kB SUnreclaim: 2493980 kB KernelStack: 15240 kB PageTables: 78724 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 33027128 kB Committed_AS: 44446908 kB VmallocTotal: 34359738367 kB VmallocUsed: 426656 kB VmallocChunk: 34325375716 kB HardwareCorrupted: 0 kB AnonHugePages: 7696384 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 6144 kB DirectMap2M: 2058240 kB DirectMap1G: 65011712 kB Second memory capture with almost 25GB free memory: MemTotal: 66054256 kB MemFree: 24949116 kB Buffers: 1120 kB Cached: 29085016 kB SwapCached: 0 kB Active: 10168904 kB Inactive: 1461156 kB Active(anon): 10168216 kB Inactive(anon): 1441956 kB Active(file): 688 kB Inactive(file): 19200 kB Unevictable: 26317328 kB Mlocked: 26317376 kB SwapTotal: 0 kB SwapFree: 0 kB Dirty: 0 kB Writeback: 0 kB AnonPages: 8861224 kB Mapped: 26351488 kB Shmem: 29066248 kB Slab: 1503440 kB SReclaimable: 232880 kB SUnreclaim: 1270560 kB KernelStack: 15256 kB PageTables: 79664 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 33027128 kB Committed_AS: 44418280 kB VmallocTotal: 34359738367 kB VmallocUsed: 426656 kB VmallocChunk: 34325375716 kB HardwareCorrupted: 0 kB AnonHugePages: 7665664 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 6144 kB DirectMap2M: 2058240 kB DirectMap1G: 65011712 kB

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  • Memory Usage on Linux box does not match up with `free`

    - by Chris Lieb
    I have a Linux machine that is not running too much in the way of software, but is somehow using 1.7GB of the 2GB of the installed memory. When I run free, I get: total used free shared buffers cached Mem: 2072616 1979972 92644 0 164876 129740 -/+ buffers/cache: 1685356 387260 Swap: 498004 1632 496372 However, when I run ps aux, the memory usage of all processes only comes out to 295.9MB, which is a far cry from the 1.7GB of memory that free reports as used. Why is there such a discrepancy?

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  • What is Paging in memory management?

    - by Fasih Khatib
    I was just reading Operating System Principles by Silberschatz et al when I came across paging in memory management.I'm slightly confused about it. It states that Physical Memory(I assume it's RAM) is divided into frames, and logical memory is divided into pages. CPU generates logical addresses containing page number and an offset. This page number is used to retrieve the frame number from a page table which gives the base address so the physical address is calculated as base+offset. My question is: is the page table maintained for every process? I logically think that the answer would be yes as every process will need to map its own pages to frames. I may be wrong. Please clarify. Also: paging and segmentation(where 'holes' are created in memory) are two totally different techniques that are not used in combination. Correct?

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  • DNSCache excesive memory usage Windows Server 2008 R2

    - by MikeT
    We are having an issue with the dnscache service where its memory usage is becoming excessive (~6GB) after a week or two. Restarting the service frees this memory but performing ipconfig /flushdns does not, an ipconfig /displaydns shows aprox 15-20 entries in the cache. We have checked and there appears to be aprox 150 DNS queries per second taking place but I would not expect this to have the effect of causing this memory issue. I have tried to search MSDN for hotfixes or bug reports but I could only find a reference to a memory leak in windows 2003. can anyone suggest how to proceed.

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  • .NET Free memory usage (how to prevent overallocation / release memory to the OS)

    - by Ronan Thibaudau
    I'm currently working on a website that makes large use of cached data to avoid roundtrips. At startup we get a "large" graph (hundreds of thouthands of different kinds of objects). Those objects are retrieved over WCF and deserialized (we use protocol buffers for serialization) I'm using redgate's memory profiler to debug memory issues (the memory didn't seem to fit with how much memory we should need "after" we're done initializing and end up with this report Now what we can gather from this report is that: 1) Most of the memory .NET allocated is free (it may have been rightfully allocated during deserialisation, but now that it's free, i'd like for it to return to the OS) 2) Memory is fragmented (which is bad, as everytime i refresh the cash i need to redo the memory hungry deserialisation process and this, in turn creates large object that may throw an OutOfMemoryException due to fragmentation) 3) I have no clue why the space is fragmented, because when i look at the large object heap, there are only 30 instances, 15 object[] are directly attached to the GC and totally unrelated to me, 1 is a char array also attached directly to the GC Heap, the remaining 15 are mine but are not the cause of this as i get the same report if i comment them out in code. So my question is, what can i do to go further with this? I'm not really sure what to look for in debugging / tools as it seems my memory is fragmented, but not by me, and huge amounts of free spaces are allocated by .net , which i can't release. Also please make sure you understand the question well before answering, i'm not looking for a way to free memory within .net (GC.Collect), but to free memory that is already free in .net , to the system as well as to defragment said memory. Note that a slow solution is fine, if it's possible to manually defragment the large heap i'd be all for it as i can call it at the end of RefreshCache and it's ok if it takes 1 or 2 second to run. Thanks for your help! A few notes i forgot: 1) The project is a .net 2.0 website, i get the same results running it in a .net 4 pool, idem if i run it in a .net 4 pool and convert it to .net 4 and recompile. 2) These are results of a release build, so debug build can not be the issue. 3) And this is probably quite important, i do not get these issues at all in the webdev server, only in IIS, in the webdev i get memory consumption rather close to my actual consumption (well more, but not 5-10X more!)

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  • "Cannot allocate memory" while no process seems to be using up memory

    - by omat
    I am not competent on server issues, any help is much appreciated. When try to start a python/django shell on a linux box, I am getting OSError: [Errno 12] Cannot allocate memory. free -m seems to confirm I am out of memory: total used free shared buffers cached Mem: 590 560 29 0 3 37 -/+ buffers/cache: 518 71 Swap: 0 0 0 But I cannot see what is eating up the memory with top or ps aux: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1 root 20 0 24336 908 0 S 0.0 0.2 0:00.68 init 2 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kthreadd 3 root 20 0 0 0 0 S 0.0 0.0 0:04.85 ksoftirqd/0 How can I identify the leak? Thanks. BTW, I am not sure if it is relevant, but the machine I am talking about is an AWS EC2 instance with Ubuntu 12 running.

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  • Free Dynamic DNS Nameservers

    - by Maxim Zaslavsky
    I recently set up a home server that I want to use as my primary hosting platform. So far, I've mapped some domains to it by setting up A records for them that point to my home IP. As my home IP can change randomly and without notice, however, I'm afraid of such downtime. Thus, I'm looking for a dynamic DNS solution. So far, I've set up DynDNS, but I haven't found a way to use dynamic DNS with an existing domain. Are there any free dynamic DNS nameserver services available?

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  • Programs and memory consumption [closed]

    - by cobie
    I have a 4gb ram macbook pro but I still run out of memory when I have chrome and a few other light weight applications open such as multiple windows of macvim. These programs are written in C/C++ so technically should be memory efficient but why do they suck up all these memory. is it just bad engineering or graphical user interfaces because I have read about incredible feats performed in software dev back in the early computing days with very limited memory but now it just feels like the applications expand to fill all my memory.

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  • Detecting source of memory usage on a Linux box

    - by apeace
    I have a toy Linux box with 256mb RAM running Ubuntu 10.04.1 LTS. Here is the output of free -m: total used free shared buffers cached Mem: 245 122 122 0 19 64 -/+ buffers/cache: 38 206 Swap: 511 0 511 Unless I'm reading this wrong, 122mb is being used and only 84mb of that is disk cache. Here are all processes I'm running sorted by memory usage (ps -eo pmem,pcpu,rss,vsize,args | sort -k 1 -r): %MEM %CPU RSS VSZ COMMAND 5.0 0.0 12648 633140 node /home/node/main/sites.js 1.5 0.0 3884 251736 /usr/sbin/console-kit-daemon --no-daemon 1.3 0.0 3328 77108 sshd: apeace [priv] 0.9 0.0 2344 19624 -bash 0.7 0.0 1776 23620 /sbin/init 0.6 0.0 1624 77108 sshd: apeace@pts/0 0.6 0.0 1544 9940 redis-server /etc/redis/redis.conf 0.6 0.0 1524 25848 /usr/sbin/ntpd -p /var/run/ntpd.pid -g -u 103:105 0.5 0.0 1324 119880 rsyslogd -c4 0.4 0.0 1084 49308 /usr/sbin/sshd 0.4 0.0 1028 44376 /usr/sbin/exim4 -bd -q30m 0.3 0.0 904 6876 ps -eo pmem,pcpu,rss,vsize,args 0.3 0.0 888 21124 cron 0.3 0.0 868 23472 dbus-daemon --system --fork 0.2 0.0 732 19624 -bash 0.2 0.0 628 6128 /sbin/getty -8 38400 tty1 0.2 0.0 628 16952 upstart-udev-bridge --daemon 0.2 0.0 564 16800 udevd --daemon 0.2 0.0 552 16796 udevd --daemon 0.2 0.0 548 16796 udevd --daemon 0.0 0.0 0 0 [xenwatch] 0.0 0.0 0 0 [xenbus] 0.0 0.0 0 0 [sync_supers] 0.0 0.0 0 0 [netns] 0.0 0.0 0 0 [migration/3] 0.0 0.0 0 0 [migration/2] 0.0 0.0 0 0 [migration/1] 0.0 0.0 0 0 [migration/0] 0.0 0.0 0 0 [kthreadd] 0.0 0.0 0 0 [kswapd0] 0.0 0.0 0 0 [kstriped] 0.0 0.0 0 0 [ksoftirqd/3] 0.0 0.0 0 0 [ksoftirqd/2] 0.0 0.0 0 0 [ksoftirqd/1] 0.0 0.0 0 0 [ksoftirqd/0] 0.0 0.0 0 0 [ksnapd] 0.0 0.0 0 0 [kseriod] 0.0 0.0 0 0 [kjournald] 0.0 0.0 0 0 [khvcd] 0.0 0.0 0 0 [khelper] 0.0 0.0 0 0 [kblockd/3] 0.0 0.0 0 0 [kblockd/2] 0.0 0.0 0 0 [kblockd/1] 0.0 0.0 0 0 [kblockd/0] 0.0 0.0 0 0 [flush-202:1] 0.0 0.0 0 0 [events/3] 0.0 0.0 0 0 [events/2] 0.0 0.0 0 0 [events/1] 0.0 0.0 0 0 [events/0] 0.0 0.0 0 0 [crypto/3] 0.0 0.0 0 0 [crypto/2] 0.0 0.0 0 0 [crypto/1] 0.0 0.0 0 0 [crypto/0] 0.0 0.0 0 0 [cpuset] 0.0 0.0 0 0 [bdi-default] 0.0 0.0 0 0 [async/mgr] 0.0 0.0 0 0 [aio/3] 0.0 0.0 0 0 [aio/2] 0.0 0.0 0 0 [aio/1] 0.0 0.0 0 0 [aio/0] Now, I know that ps is not the best for viewing process memory usage, but that's because it tends to report more memory than is actually being used...meaning no matter how you look at it all my processes combined shouldn't be using near 122mb, even if you account for the disk cache. What's more, memory usage is growing all the time. I've had to restart my server once a week, because once my 256mb fills up it starts swapping, which it wouldn't do just for disk cache. Shouldn't there be some way for me to see the culprit?! I'm new to server admin, so please if there's something obvious I'm overlooking point it out to me. Just for good measure, the output of cat /proc/meminfo: MemTotal: 251140 kB MemFree: 124604 kB Buffers: 20536 kB Cached: 66136 kB SwapCached: 0 kB Active: 65004 kB Inactive: 37576 kB Active(anon): 15932 kB Inactive(anon): 164 kB Active(file): 49072 kB Inactive(file): 37412 kB Unevictable: 0 kB Mlocked: 0 kB SwapTotal: 524284 kB SwapFree: 524284 kB Dirty: 8 kB Writeback: 0 kB AnonPages: 15916 kB Mapped: 10668 kB Shmem: 188 kB Slab: 18604 kB SReclaimable: 10088 kB SUnreclaim: 8516 kB KernelStack: 536 kB PageTables: 1444 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 649852 kB Committed_AS: 64224 kB VmallocTotal: 34359738367 kB VmallocUsed: 752 kB VmallocChunk: 34359737600 kB DirectMap4k: 262144 kB DirectMap2M: 0 kB EDIT: I had misinterpreted the meaning of free -m at first. But even so: the important thing is that my OS eventually begins to use swap memory if I don't restart my server, which disk caching wouldn't do. So where do I look to see what is using all this memory?

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  • Using JSON.NET for dynamic JSON parsing

    - by Rick Strahl
    With the release of ASP.NET Web API as part of .NET 4.5 and MVC 4.0, JSON.NET has effectively pushed out the .NET native serializers to become the default serializer for Web API. JSON.NET is vastly more flexible than the built in DataContractJsonSerializer or the older JavaScript serializer. The DataContractSerializer in particular has been very problematic in the past because it can't deal with untyped objects for serialization - like values of type object, or anonymous types which are quite common these days. The JavaScript Serializer that came before it actually does support non-typed objects for serialization but it can't do anything with untyped data coming in from JavaScript and it's overall model of extensibility was pretty limited (JavaScript Serializer is what MVC uses for JSON responses). JSON.NET provides a robust JSON serializer that has both high level and low level components, supports binary JSON, JSON contracts, Xml to JSON conversion, LINQ to JSON and many, many more features than either of the built in serializers. ASP.NET Web API now uses JSON.NET as its default serializer and is now pulled in as a NuGet dependency into Web API projects, which is great. Dynamic JSON Parsing One of the features that I think is getting ever more important is the ability to serialize and deserialize arbitrary JSON content dynamically - that is without mapping the JSON captured directly into a .NET type as DataContractSerializer or the JavaScript Serializers do. Sometimes it isn't possible to map types due to the differences in languages (think collections, dictionaries etc), and other times you simply don't have the structures in place or don't want to create them to actually import the data. If this topic sounds familiar - you're right! I wrote about dynamic JSON parsing a few months back before JSON.NET was added to Web API and when Web API and the System.Net HttpClient libraries included the System.Json classes like JsonObject and JsonArray. With the inclusion of JSON.NET in Web API these classes are now obsolete and didn't ship with Web API or the client libraries. I re-linked my original post to this one. In this post I'll discus JToken, JObject and JArray which are the dynamic JSON objects that make it very easy to create and retrieve JSON content on the fly without underlying types. Why Dynamic JSON? So, why Dynamic JSON parsing rather than strongly typed parsing? Since applications are interacting more and more with third party services it becomes ever more important to have easy access to those services with easy JSON parsing. Sometimes it just makes lot of sense to pull just a small amount of data out of large JSON document received from a service, because the third party service isn't directly related to your application's logic most of the time - and it makes little sense to map the entire service structure in your application. For example, recently I worked with the Google Maps Places API to return information about businesses close to me (or rather the app's) location. The Google API returns a ton of information that my application had no interest in - all I needed was few values out of the data. Dynamic JSON parsing makes it possible to map this data, without having to map the entire API to a C# data structure. Instead I could pull out the three or four values I needed from the API and directly store it on my business entities that needed to receive the data - no need to map the entire Maps API structure. Getting JSON.NET The easiest way to use JSON.NET is to grab it via NuGet and add it as a reference to your project. You can add it to your project with: PM> Install-Package Newtonsoft.Json From the Package Manager Console or by using Manage NuGet Packages in your project References. As mentioned if you're using ASP.NET Web API or MVC 4 JSON.NET will be automatically added to your project. Alternately you can also go to the CodePlex site and download the latest version including source code: http://json.codeplex.com/ Creating JSON on the fly with JObject and JArray Let's start with creating some JSON on the fly. It's super easy to create a dynamic object structure with any of the JToken derived JSON.NET objects. The most common JToken derived classes you are likely to use are JObject and JArray. JToken implements IDynamicMetaProvider and so uses the dynamic  keyword extensively to make it intuitive to create object structures and turn them into JSON via dynamic object syntax. Here's an example of creating a music album structure with child songs using JObject for the base object and songs and JArray for the actual collection of songs:[TestMethod] public void JObjectOutputTest() { // strong typed instance var jsonObject = new JObject(); // you can explicitly add values here using class interface jsonObject.Add("Entered", DateTime.Now); // or cast to dynamic to dynamically add/read properties dynamic album = jsonObject; album.AlbumName = "Dirty Deeds Done Dirt Cheap"; album.Artist = "AC/DC"; album.YearReleased = 1976; album.Songs = new JArray() as dynamic; dynamic song = new JObject(); song.SongName = "Dirty Deeds Done Dirt Cheap"; song.SongLength = "4:11"; album.Songs.Add(song); song = new JObject(); song.SongName = "Love at First Feel"; song.SongLength = "3:10"; album.Songs.Add(song); Console.WriteLine(album.ToString()); } This produces a complete JSON structure: { "Entered": "2012-08-18T13:26:37.7137482-10:00", "AlbumName": "Dirty Deeds Done Dirt Cheap", "Artist": "AC/DC", "YearReleased": 1976, "Songs": [ { "SongName": "Dirty Deeds Done Dirt Cheap", "SongLength": "4:11" }, { "SongName": "Love at First Feel", "SongLength": "3:10" } ] } Notice that JSON.NET does a nice job formatting the JSON, so it's easy to read and paste into blog posts :-). JSON.NET includes a bunch of configuration options that control how JSON is generated. Typically the defaults are just fine, but you can override with the JsonSettings object for most operations. The important thing about this code is that there's no explicit type used for holding the values to serialize to JSON. Rather the JSON.NET objects are the containers that receive the data as I build up my JSON structure dynamically, simply by adding properties. This means this code can be entirely driven at runtime without compile time restraints of structure for the JSON output. Here I use JObject to create a album 'object' and immediately cast it to dynamic. JObject() is kind of similar in behavior to ExpandoObject in that it allows you to add properties by simply assigning to them. Internally, JObject values are stored in pseudo collections of key value pairs that are exposed as properties through the IDynamicMetaObject interface exposed in JSON.NET's JToken base class. For objects the syntax is very clean - you add simple typed values as properties. For objects and arrays you have to explicitly create new JObject or JArray, cast them to dynamic and then add properties and items to them. Always remember though these values are dynamic - which means no Intellisense and no compiler type checking. It's up to you to ensure that the names and values you create are accessed consistently and without typos in your code. Note that you can also access the JObject instance directly (not as dynamic) and get access to the underlying JObject type. This means you can assign properties by string, which can be useful for fully data driven JSON generation from other structures. Below you can see both styles of access next to each other:// strong type instance var jsonObject = new JObject(); // you can explicitly add values here jsonObject.Add("Entered", DateTime.Now); // expando style instance you can just 'use' properties dynamic album = jsonObject; album.AlbumName = "Dirty Deeds Done Dirt Cheap"; JContainer (the base class for JObject and JArray) is a collection so you can also iterate over the properties at runtime easily:foreach (var item in jsonObject) { Console.WriteLine(item.Key + " " + item.Value.ToString()); } The functionality of the JSON objects are very similar to .NET's ExpandObject and if you used it before, you're already familiar with how the dynamic interfaces to the JSON objects works. Importing JSON with JObject.Parse() and JArray.Parse() The JValue structure supports importing JSON via the Parse() and Load() methods which can read JSON data from a string or various streams respectively. Essentially JValue includes the core JSON parsing to turn a JSON string into a collection of JsonValue objects that can be then referenced using familiar dynamic object syntax. Here's a simple example:public void JValueParsingTest() { var jsonString = @"{""Name"":""Rick"",""Company"":""West Wind"", ""Entered"":""2012-03-16T00:03:33.245-10:00""}"; dynamic json = JValue.Parse(jsonString); // values require casting string name = json.Name; string company = json.Company; DateTime entered = json.Entered; Assert.AreEqual(name, "Rick"); Assert.AreEqual(company, "West Wind"); } The JSON string represents an object with three properties which is parsed into a JObject class and cast to dynamic. Once cast to dynamic I can then go ahead and access the object using familiar object syntax. Note that the actual values - json.Name, json.Company, json.Entered - are actually of type JToken and I have to cast them to their appropriate types first before I can do type comparisons as in the Asserts at the end of the test method. This is required because of the way that dynamic types work which can't determine the type based on the method signature of the Assert.AreEqual(object,object) method. I have to either assign the dynamic value to a variable as I did above, or explicitly cast ( (string) json.Name) in the actual method call. The JSON structure can be much more complex than this simple example. Here's another example of an array of albums serialized to JSON and then parsed through with JsonValue():[TestMethod] public void JsonArrayParsingTest() { var jsonString = @"[ { ""Id"": ""b3ec4e5c"", ""AlbumName"": ""Dirty Deeds Done Dirt Cheap"", ""Artist"": ""AC/DC"", ""YearReleased"": 1976, ""Entered"": ""2012-03-16T00:13:12.2810521-10:00"", ""AlbumImageUrl"": ""http://ecx.images-amazon.com/images/I/61kTaH-uZBL._AA115_.jpg"", ""AmazonUrl"": ""http://www.amazon.com/gp/product/…ASIN=B00008BXJ4"", ""Songs"": [ { ""AlbumId"": ""b3ec4e5c"", ""SongName"": ""Dirty Deeds Done Dirt Cheap"", ""SongLength"": ""4:11"" }, { ""AlbumId"": ""b3ec4e5c"", ""SongName"": ""Love at First Feel"", ""SongLength"": ""3:10"" }, { ""AlbumId"": ""b3ec4e5c"", ""SongName"": ""Big Balls"", ""SongLength"": ""2:38"" } ] }, { ""Id"": ""7b919432"", ""AlbumName"": ""End of the Silence"", ""Artist"": ""Henry Rollins Band"", ""YearReleased"": 1992, ""Entered"": ""2012-03-16T00:13:12.2800521-10:00"", ""AlbumImageUrl"": ""http://ecx.images-amazon.com/images/I/51FO3rb1tuL._SL160_AA160_.jpg"", ""AmazonUrl"": ""http://www.amazon.com/End-Silence-Rollins-Band/dp/B0000040OX/ref=sr_1_5?ie=UTF8&qid=1302232195&sr=8-5"", ""Songs"": [ { ""AlbumId"": ""7b919432"", ""SongName"": ""Low Self Opinion"", ""SongLength"": ""5:24"" }, { ""AlbumId"": ""7b919432"", ""SongName"": ""Grip"", ""SongLength"": ""4:51"" } ] } ]"; JArray jsonVal = JArray.Parse(jsonString) as JArray; dynamic albums = jsonVal; foreach (dynamic album in albums) { Console.WriteLine(album.AlbumName + " (" + album.YearReleased.ToString() + ")"); foreach (dynamic song in album.Songs) { Console.WriteLine("\t" + song.SongName); } } Console.WriteLine(albums[0].AlbumName); Console.WriteLine(albums[0].Songs[1].SongName); } JObject and JArray in ASP.NET Web API Of course these types also work in ASP.NET Web API controller methods. If you want you can accept parameters using these object or return them back to the server. The following contrived example receives dynamic JSON input, and then creates a new dynamic JSON object and returns it based on data from the first:[HttpPost] public JObject PostAlbumJObject(JObject jAlbum) { // dynamic input from inbound JSON dynamic album = jAlbum; // create a new JSON object to write out dynamic newAlbum = new JObject(); // Create properties on the new instance // with values from the first newAlbum.AlbumName = album.AlbumName + " New"; newAlbum.NewProperty = "something new"; newAlbum.Songs = new JArray(); foreach (dynamic song in album.Songs) { song.SongName = song.SongName + " New"; newAlbum.Songs.Add(song); } return newAlbum; } The raw POST request to the server looks something like this: POST http://localhost/aspnetwebapi/samples/PostAlbumJObject HTTP/1.1User-Agent: FiddlerContent-type: application/jsonHost: localhostContent-Length: 88 {AlbumName: "Dirty Deeds",Songs:[ { SongName: "Problem Child"},{ SongName: "Squealer"}]} and the output that comes back looks like this: {  "AlbumName": "Dirty Deeds New",  "NewProperty": "something new",  "Songs": [    {      "SongName": "Problem Child New"    },    {      "SongName": "Squealer New"    }  ]} The original values are echoed back with something extra appended to demonstrate that we're working with a new object. When you receive or return a JObject, JValue, JToken or JArray instance in a Web API method, Web API ignores normal content negotiation and assumes your content is going to be received and returned as JSON, so effectively the parameter and result type explicitly determines the input and output format which is nice. Dynamic to Strong Type Mapping You can also map JObject and JArray instances to a strongly typed object, so you can mix dynamic and static typing in the same piece of code. Using the 2 Album jsonString shown earlier, the code below takes an array of albums and picks out only a single album and casts that album to a static Album instance.[TestMethod] public void JsonParseToStrongTypeTest() { JArray albums = JArray.Parse(jsonString) as JArray; // pick out one album JObject jalbum = albums[0] as JObject; // Copy to a static Album instance Album album = jalbum.ToObject<Album>(); Assert.IsNotNull(album); Assert.AreEqual(album.AlbumName,jalbum.Value<string>("AlbumName")); Assert.IsTrue(album.Songs.Count > 0); } This is pretty damn useful for the scenario I mentioned earlier - you can read a large chunk of JSON and dynamically walk the property hierarchy down to the item you want to access, and then either access the specific item dynamically (as shown earlier) or map a part of the JSON to a strongly typed object. That's very powerful if you think about it - it leaves you in total control to decide what's dynamic and what's static. Strongly typed JSON Parsing With all this talk of dynamic let's not forget that JSON.NET of course also does strongly typed serialization which is drop dead easy. Here's a simple example on how to serialize and deserialize an object with JSON.NET:[TestMethod] public void StronglyTypedSerializationTest() { // Demonstrate deserialization from a raw string var album = new Album() { AlbumName = "Dirty Deeds Done Dirt Cheap", Artist = "AC/DC", Entered = DateTime.Now, YearReleased = 1976, Songs = new List<Song>() { new Song() { SongName = "Dirty Deeds Done Dirt Cheap", SongLength = "4:11" }, new Song() { SongName = "Love at First Feel", SongLength = "3:10" } } }; // serialize to string string json2 = JsonConvert.SerializeObject(album,Formatting.Indented); Console.WriteLine(json2); // make sure we can serialize back var album2 = JsonConvert.DeserializeObject<Album>(json2); Assert.IsNotNull(album2); Assert.IsTrue(album2.AlbumName == "Dirty Deeds Done Dirt Cheap"); Assert.IsTrue(album2.Songs.Count == 2); } JsonConvert is a high level static class that wraps lower level functionality, but you can also use the JsonSerializer class, which allows you to serialize/parse to and from streams. It's a little more work, but gives you a bit more control. The functionality available is easy to discover with Intellisense, and that's good because there's not a lot in the way of documentation that's actually useful. Summary JSON.NET is a pretty complete JSON implementation with lots of different choices for JSON parsing from dynamic parsing to static serialization, to complex querying of JSON objects using LINQ. It's good to see this open source library getting integrated into .NET, and pushing out the old and tired stock .NET parsers so that we finally have a bit more flexibility - and extensibility - in our JSON parsing. Good to go! Resources Sample Test Project http://json.codeplex.com/© Rick Strahl, West Wind Technologies, 2005-2012Posted in .NET  Web Api  AJAX   Tweet !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

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  • Windows7 issue in mutli- tasking and memory

    - by Nitesh
    I seeming some problem in my windows OS recently, let me first say my system configuration. processor - Intel(R) Core(TM)2 Quad CPU Q8400 @ 2.66 GHz Installed memory (RAM) - 4.00 GB (3.00 GB usable) System type - 32 bit operating system I am using two OS in this system, first one is Windows7 and the other is centOS. Well, I am using this from a long time there was no problem , and all of a sudden since from couple weeks I am facing problems in my Windows7 OS. In windows7 i was nearing using multiple jobs almost every time i log in, there was no problem but now i don't no what happen I am not able to do multiple jobs at same time. For example- 1 I am now not able to listen to music in windows media player and view photo's. All of a sudden the system stops working and does not respond and then respond after 5mins and the music get played where it got stopped after 5 mins. 2 When i start browersing internet it hangs all of sudden and doesn't respond for 2 or 3 mins and gets loading. I mean it just happens for every operation i do in the system. Even now typing was also difficult, it gets hanged very frequently even though i am doing single task. I have never come across this kind of problem before. So the first thing i did was to see the useage of the processor and the memory. Well, i thick the useage of the processor was fine, for single task the useage was some where around 3 to 5%. Well, it was something weird i found in the memory, in spite of no task that i was running it was using somewhere around 34 to 41% of memory. So i opened the task manager and click on resource monitor in performance tab. And in the memory section of the monitoring tool i found the usage of my RAM, it was something like this. Hardware reserved - 1029 MB In Use - 1430 MB Modified - 49 MB Standby - 1566 MB free - 22 MB And i could also see Available 1588 MB Cached 1615 MB Total 3067 MB Installed 4096 MB well, this if all i could find out and i have no idea why my computer is acting so weird all of a sudden and the performance problem is growing day by day and i also don't know if there is problem in Bios, i have let it for default settings from long time. please help me and Thank you in advance for reading this and helping me.

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  • Memory upgrade to 8GB on unibody MacBook

    - by dlamblin
    I bought the 13" unibody MacBook one month prior to it's upgrade to become the new improved 13" unibody MacBook Pro (with unopenable battery compartment, extra 3 hours of battery life, more color gammut, SD slot, firewire 800 port, and a new 8Gb memory limit). My MacBook says it is limited to 4GB of DDR3 1066mhz memory, in 2 SO-DIMMs. But that was written back when you couldn't get 2 4GB SO-DIMMs. Now that you can get them, the very similar MacBook Pro is shipping with 4GB standard, and can be upgraded to 8GB. I've asked (Apple reps), and I'm repeatedly told that my model cannot be upgraded to 8. When I ask for the reason they alway say: "Because that's the published limit at the time your mac was built." I find this unconvincing. If they said: "Because the memory controller in the chipset is limited to 4GB, despite being seemingly identical to the memory controller in the same chipset newest MacBook model," then I'd just take their word for it. Has anyone tried it, or found any research as to whether two 4GB DDR3 1066mhz SO-DIMMs can be installed in the unibody MacBook without FireWire?

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  • dhclient requests filling memory?

    - by shanethehat
    Dammit Jim, I'm a web developer, not a sys admin. With that out of the way, my client's has a CentOS server (6.2) that is only serving a single Magento site (and the associated MySQL server) and it is frequently running out of memory, despite the site only currently being open to 5 users. I'm investigating the logs to try to figure out why the memory usage is so high, but I don't really know what I'm looking at. It seems that there are a lot of entries in /var/log/messages concerning DHCP requests, approximately one every 15 seconds, that look like this: Apr 7 14:23:06 s15940039 dhclient[815]: DHCPREQUEST on eth0 to 172.30.102.85 port 67 (xid=0x6b5cd2a7) Is this normal? I don't see anything else in here that I don't recognise, but then I'm not sure I'd know the problem if I did see it. 4 days ago the server ran out of memory completely and locked up, requiring a restart. The DHCP messages did not start up again for 23 hours, but then carried on as before. I have read this question which describes the same issue, but in my case a fresh DHCP lease does not ever seem to be issued. Is this something I should push back to the hosting provider, or have I not yet found the source of the memory problem?

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  • What causes memory fragmentation in .NET

    - by Matt
    I am using Red Gates ANTS memory profiler to debug a memory leak. It keeps warning me that: Memory Fragmentation may be causing .NET to reserver too much free memory. or Memory Fragmentation is affecting the size of the largest object that can be allocated Because I have OCD, this problem must be resolved. What are some standard coding practices that help avoid memory fragmentation. Can you defragment it through some .NET methods? Would it even help?

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  • Analyzing Memory Usage: Java vs C++ Negligible?

    - by Anthony
    How does the memory usage of an integer object written in Java compare\contrast with the memory usage of a integer object written in C++? Is the difference negligible? No difference? A big difference? I'm guessing it's the same because an int is an int regardless of the language (?) The reason why I asked this is because I was reading about the importance of knowing when a program's memory requirements will prevent the programmer from solving a given problem. What fascinated me is the amount of memory required for creating a single Java object. Take for example, an integer object. Correct me if I'm wrong but a Java integer object requires 24 bytes of memory: 4 bytes for its int instance variable 16 bytes of overhead (reference to the object's class, garbage collection info & synchronization info) 4 bytes of padding As another example, a Java array (which is implemented as an object) requires 48+bytes: 24 bytes of header info 16 bytes of object overhead 4 bytes for length 4 bytes for padding plus the memory needed to store the values How do these memory usages compare with the same code written in C++? I used to be oblivious about the memory usage of the C++ and Java programs I wrote, but now that I'm beginning to learn about algorithms, I'm having a greater appreciation for the computer's resources.

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  • Sun T5120: Memory issue with 8GB DIMMs, "Unsupported memory configuration"

    - by watain
    I'm trying to upgrade RAM in a Sun T5120 server, replacing 2GB (Sun P/N: 501-7953-01) with 8GB DIMMs (Sun P/N: 511-1262-01). When bringing up the host system, I get the following errors on the ILOM: -> show faulty Target | Property | Value --------------------+------------------------+--------------------------------- /SP/faultmgmt/0 | fru | /SYS/MB /SP/faultmgmt/0/ | timestamp | Dec 14 15:29:42 faults/0 | | /SP/faultmgmt/0/ | sp_detected_fault | /SYS/MB/CMP0/MCU3 Forced fail faults/0 | | (IBIST) /SP/faultmgmt/0/ | timestamp | Dec 14 15:29:28 faults/1 | | /SP/faultmgmt/0/ | sp_detected_fault | /SYS/MB/CMP0/MCU2 Forced fail faults/1 | | (IBIST) /SP/faultmgmt/0/ | timestamp | Dec 14 15:29:13 faults/2 | | /SP/faultmgmt/0/ | sp_detected_fault | /SYS/MB/CMP0/MCU1 Forced fail faults/2 | | (IBIST) /SP/faultmgmt/0/ | timestamp | Dec 14 15:28:59 faults/3 | | /SP/faultmgmt/0/ | sp_detected_fault | /SYS/MB/CMP0/MCU0 Forced fail faults/3 | | (IBIST) /SP/faultmgmt/1 | fru | /SYS /SP/faultmgmt/1/ | timestamp | Dec 14 15:29:42 faults/0 | | /SP/faultmgmt/1/ | sp_detected_fault | Dec 14 15:29:42 ERROR: faults/0 | | Unsupported memory | | configuration As you can see, the only error message I get is "Unsupported memory configuration". Note that I'm absolutely sure that I placed in the DIMMs in the correct slots. Might this issue be related to the Voltage of the DIMMs? Any suggestions on how to trouble-shoot this issue? This issue seems to be similar to the one explained at "Inserted disabled" while upgrading Sun Sparc t5120 memory. However the given link http://docs.sun.com/source/820-4445-10/chapter1.html seems to point to an inexistent page...

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  • iPhone - Memory Management - Using Leaks tool and getting some bizarre readings.

    - by Robert
    Hey all, putting the finishing touches on a project of mine so I figured I would run through it and see if and where I had any memory leaks. Found and fixed most of them but there are a couple of things regarding the memory leaks and object alloc that I am confused about. 1) There are 2 memory leaks that do not show me as responsible. There are 8 leaks attributed to AudioToolbox with the function being RegisterEmbeddedAudioCodecs(). This accounts for about 1.5 kb of leaks. The other one is detected immediately when the app begins. Core Graphics is responsible with the extra info being open_handle_to_dylib_path. For the audio leak I have looked over my audio code and to me it seems ok. self.musicPlayer = [[AVAudioPlayer alloc] initWithContentsOfURL:[NSURL fileURLWithPath:songFilePath] error:NULL]; [musicPlayer prepareToPlay]; [musicPlayer play] is called later on in a function. 2) Is it normal for there to be a spike in Object Allocation whenever a new view or controller is presented? My total memory usage is very, very low except for whenever I present a view controller. It spikes then immediately goes back down. I am guessing that this is just the phone handling all the information for switching or something. Blegh. Wall of text. Thanks in advance to anyone who helps! =)

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  • VHD Boot failure in Hyper-V (Win7 boot from vhd)

    - by stuck_again
    I've have a virtual machine with a VHD image that I've copied from Windows 7 to the Hyper-V server. This image was created on Windows 7 (Windows 7 64-bit), and I'm using it on Windows 7 as boot image. Starting this virtual machine with the Hyper-V Manager gives this error: "Boot failure. Reboot and Select proper Boot device or Insert Boot Media in selected Boot device." What do I need to do to boot from this vhd in Hyper-V?

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  • Adding Hyper-V Role Errors

    - by Brian
    Hello, I have a Win 2008 R2 Data Center machine, and when I added the Hyper-V role, I got the following errors: 'Hypervisor' driver required by the Virtual Machine Management service is not installed or is disabled. Check your settings or try reinstalling the Hyper-V role. Hyper-V launch failed; Either VMX not present or not enabled in BIOS. ANy help would be appreciated as I am a n00b to the server world. Thanks.

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  • Migrating VirtualPC images to Hyper-V

    - by Andrey
    I have a couple of development Virtual PC images; now I installed Windows Server 2008 + Hyper-V on my main dev laptop and need to migrate those images to Hyper-V. Google only finds steps for some older version of Hyper-V - I don't even see the wizard steps they are talking about. Any help would be highly appreciated!

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  • Incredibly high latency for Ubuntu guest on Hyper-V

    - by Mark Henderson
    I've got several Ubuntu 10.04 virtual machines running as Hyper-V guests on Windows Server 2008 R2 SP1 and they're all perfectly fine. Today I installed my first Ubuntu 11.10 virtual machine and I'm seeing rediculous pings: These servers are all connected via gigabit to a local LAN, with almost no network traffic at all1, with a legacy network adapter in Hyper-V. I'm a bit of an Ubuntu n00b so I don't really know where to go from here. Any ideas? free -m reports: total used free shared buffers cached Mem: 485 470 15 0 63 299 -/+ buffers/cache: 107 378 Swap: 507 20 487 This is within a few mb of our other Ubuntu servers that are on 10.04. I removed the Legacy NIC and installed a Synthetic one in Hyper-V and this did improve the numbers, in that they're around 10-30ms now, but I would still be expecting <1ms response times. 1As a comparison, I have another Ubuntu 10.04 guest on Hyper-V almost 1,000km away that has a ping of 33ms

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  • Out of memory Problem

    - by Sunil
    I'm running a C++ program in Ubuntu 10.04 (32-bit system architecture). If I calculate the amount of memory that my program uses, it comes up to 800MB. I have a 4GB RAM in place. But still before the program even finishes it throws an out of memory exception. Why is that happening ? Is it because of the structure of the memory or implementation problems or what could possibly trigger this issue ? I've had seen this problem quite a number of times before but never understood the reason behind it. Have any of you handled this case before ?

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  • Hyper-V core NIC speeds and registry changes

    - by gary
    Good afternoon, On a Dell PE T610 I have Hyper-V core running, with 2 x Broadcom BCM5709C NetXtreme II GigE installed. I have noticed that copying large files 17GB for example, from a network physical server to the Hyper-V host local drive [not vm guest] is very slow in comparison to copying from Physical to Physical servers. Copying a 17GB file physical to Hyper-V host takes 30 minutes Copying a 17GB file physical to physical host takes 15 minutes Can someone tell me exactly what registry nodes I should disable on Hyper-V NICs to improve performance. So far I have gone to HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\Class{4 D36E972-E325-11CE-BFC1-08002BE10318} and set the following to 0 on both physical NICs: *LSOv1IPv4 *LSOv2IPv6 *TCPUDPChecksumOffloadIPv4 *TCPUDPChecksumOffloadIPv6 Should I also disable *TCPConnectionOffloadIPv4 & *TCPConnectionOffloadIPv6? Many thanks in advance

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  • Hyper-V Cluster with failover - NETWORKING

    - by Adam
    Hi We are looking to setup a 3 node Hyper-V cluster with live migration and failover using: 3 x Dell R710's with dual quad core Xeon & 128 GB RAM & 6 NICs in each 1 x Dell MD 3220i SAN We will be running this setup from a data center and so co-locating our kit. Can anybody explain how we should setup the network connections to make the system redundant? We have looked into this great article but are not sure how to get a 3 server setup correctly and reliably: http://faultbucket.ca/2011/01/hyper-v-failover-cluster-setup/. I believe we need network connections for: live migration, heartbeat, management, hyper-v etc. I assume as we are running it from a DC all IPs will have to be public IPs? Are AD servers will be VMs. One on each Hyper-V server and setup not to be HA.

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