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Memory leak

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1234:). If the cache can grow so large as to cause problems, this may be a programming or design error, but is not a memory leak as the information remains nominally in use. In other cases, programs may require an unreasonably large amount of memory because the programmer has assumed memory is always sufficient for a particular task; for example, a graphics file processor might start by reading the entire contents of an image file and storing it all into memory, something that is not viable where a very large image exceeds available memory. 36: 1934: 1924: 1914: 1904: 1894: 1184: 960:, where an object is responsible for keeping track of how many references are pointing to it. If the number goes down to zero, the object is expected to release itself and allow its memory to be reclaimed. The flaw with this model is that it does not cope with cyclic references, and this is why nowadays most programmers are prepared to accept the burden of the more costly 1180:
limit, to prevent any one program from hogging all of the memory on the system. The disadvantage to this arrangement is that the operating system sometimes must be re-configured to allow proper operation of programs that legitimately require large amounts of memory, such as those dealing with graphics, video, or scientific calculations.
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operating systems have special mechanisms to deal with an out-of-memory condition, such as killing processes at random (which may affect "innocent" processes), or killing the largest process in memory (which presumably is the one causing the problem). Some operating systems have a per-process memory
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If a program has a memory leak and its memory usage is steadily increasing, there will not usually be an immediate symptom. Every physical system has a finite amount of memory, and if the memory leak is not contained (for example, by restarting the leaking program) it will eventually cause problems.
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The memory leak lasts until the system is reset. For example: if the elevator's power were turned off or in a power outage, the program would stop running. When power was turned on again, the program would restart and all the memory would be available again, but the slow process of memory leak would
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In general, automatic memory management is more robust and convenient for developers, as they do not need to implement freeing routines or worry about the sequence in which cleanup is performed or be concerned about whether or not an object is still referenced. It is easier for a programmer to know
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The consequences would be unpleasant; at the very least, the elevator would stop responding to requests to move to another floor (such as when an attempt is made to call the elevator or when someone is inside and presses the floor buttons). If other parts of the program need memory (a part assigned
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for C and C++ programs. "Conservative" garbage collection capabilities can be added to any programming language that lacks it as a built-in feature, and libraries for doing this are available for C and C++ programs. A conservative collector finds and reclaims most, but not all, unreachable memory.
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Cases like this would not usually have any immediate effects. People do not often press the button for the floor they are already on, and in any case, the elevator might have enough spare memory that this could happen hundreds or thousands of times. However, the elevator will eventually run out of
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When a button is pressed: Get some memory, which will be used to remember the floor number Put the floor number into the memory Are we already on the target floor? If so, we have nothing to do: finished Otherwise: Wait until the lift is idle Go to the required floor
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When a button is pressed: Get some memory, which will be used to remember the floor number Put the floor number into the memory Are we already on the target floor? If not: Wait until the lift is idle Go to the required floor Release the memory we used to remember the floor
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are transferred into main memory for fast access; inactive pages are pushed out to secondary storage to make room, as needed. When a single process starts consuming a large amount of memory, it usually occupies more and more of main memory, pushing other programs out to secondary storage â€“
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Memory leaks may not be serious or even detectable by normal means. In modern operating systems, normal memory used by an application is released when the application terminates. This means that a memory leak in a program that only runs for a short time may not be noticed and is rarely serious.
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by reducing the amount of available memory. A memory leak can cause an increase in memory usage, performance run-time and can negatively impact the user experience. Eventually, in the worst case, too much of the available memory may become allocated and all or part of the system or device stops
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can recover unreachable memory, it cannot free memory that is still reachable and therefore potentially still useful. Modern memory managers therefore provide techniques for programmers to semantically mark memory with varying levels of usefulness, which correspond to varying levels of
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When all the memory on a system is exhausted (whether there is virtual memory or only main memory, such as on an embedded system) any attempt to allocate more memory will fail. This usually causes the program attempting to allocate the memory to terminate itself, or to generate a
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when a reference is no longer needed than to know when an object is no longer referenced. However, automatic memory management can impose a performance overhead, and it does not eliminate all of the programming errors that cause memory leaks.
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A "sawtooth" pattern of memory utilization may be an indicator of a memory leak within an application, particularly if the vertical drops coincide with reboots or restarts of that application. Care should be taken though because
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element with an event handler, and failed to remove the reference before exiting, would leak memory (AJAX web pages keep a given DOM alive for a lot longer than traditional web pages, so this leak was much more apparent).
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usually significantly slowing performance of the system. Even if the leaking program is terminated, it may take some time for other programs to swap back into main memory, and for performance to return to normal.
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The memory leak would occur if the floor number requested is the same floor that the elevator is on; the condition for releasing the memory would be skipped. Each time this case occurs, more memory is leaked.
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uses a combination of RAII and garbage collection, employing automatic destruction when it is clear that an object cannot be accessed outside its original scope, and garbage collection otherwise.
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schemes are often based on a notion of reachability â€“ if you do not have a usable reference to the memory in question, it can be collected. Other garbage collection schemes can be based on
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to open and close the door, for example), then no one would be able to enter, and if someone happens to be inside, they will become trapped (assuming the doors cannot be opened manually).
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In practice, this trivial example would be spotted straight away and fixed. In most real examples, the cycle of references spans more than two objects, and is more difficult to detect.
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Rudafshani, Masoomeh, and Paul A. S. Ward. "LeakSpot: Detection and Diagnosis of Memory Leaks in JavaScript Applications." Software, practice & experience 47.1 (2017): 97–123. Web.
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Note that constantly increasing memory usage is not necessarily evidence of a memory leak. Some applications will store ever increasing amounts of information in memory (e.g. as a
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To put it another way, a memory leak arises from a particular kind of programming error, and without access to the program code, someone seeing symptoms can only guess that there
688:, prevents an object from being garbage collected.) To prevent this, the developer is responsible for cleaning up references after use, typically by setting the reference to 1874: 1535: 403: 1583: 676:. The memory manager does not free an object that is strongly reachable. An object is strongly reachable if it is reachable either directly by a 714: 709: 1927: 1731: 1555: 1219: 953: 920: 584: 1917: 1494: 57: 934:
However, using RAII correctly is not always easy and has its own pitfalls. For instance, if one is not careful, it is possible to create
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Because they can exhaust available system memory as an application runs, memory leaks are often the cause of or a contributing factor to
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be a memory leak. It would be better to use terms such as "constantly increasing memory use" where no such inside knowledge exists.
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where new memory is allocated frequently for one-time tasks, such as when rendering the frames of a computer game or animated video
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where a program runs for a long time and consumes added memory over time, such as background tasks on servers, and especially in
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or portable device, or where the program requires a very large amount of memory to begin with, leaving little margin for leaks
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A related concept is the "space leak", which is when a program consumes excessive memory but does eventually release it.
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The "sawtooth" pattern of memory utilization: the sudden drop in used memory is a candidate symptom for a memory leak.
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The leak in the above example can be corrected by bringing the "release" operation outside of the conditional:
309: 231: 448:). A memory leak has symptoms similar to a number of other problems and generally can only be diagnosed by a 1907: 1769: 1744: 1650: 1119: 915:
The C++ version requires no explicit deallocation; it will always occur automatically as soon as the object
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if an attacker discovers a sequence of operations which can trigger a leak. Such a sequence is known as an
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schemes. And because object destructors can free resources other than memory, RAII helps to prevent the
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memory. This could take months or years, so it might not be discovered despite thorough testing.
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running on an operating system that does not automatically release memory on program termination.
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restart together with the program, eventually prejudicing the correct running of the system.
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goes out of scope, including if an exception is thrown. This avoids some of the overhead of
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The C version, as implemented in the example, requires explicit deallocation; the array is
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points could also cause such a pattern and would show a healthy usage of the heap.
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program deliberately leaks memory by losing the pointer to the allocated memory.
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working correctly, the application fails, or the system slows down vastly due to
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which is no longer needed is not released. A memory leak may also happen when an
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A well-known example of this kind of leak came to prominence with the rise of
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If the program continues to create such pointers without freeing them,
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Memory leaks are a common error in programming, especially when using
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is stored in memory but cannot be accessed by the running code (i.e.
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is a popular memory leak detection tool for applications running on
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once it is no longer needed and, if necessary, by deregistering any
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code illustrates the canonical reference-counting memory leak:
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leaking of input and output resources accessed through a handle
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for Visual Studio, Delphi, Fortran, Visual Basic, proprietary
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When a computer program fails to release unnecessary memory
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Release the memory we used to remember the floor number
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Memory management as a function of an operating system
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Typically, a memory leak occurs because 452:with access to the program's source code. 404: 390: 91: 1502:Memory Leak Detection in Embedded Systems 80:Learn how and when to remove this message 1069:' Now they each have two references. 948:Reference counting and cyclic references 494:which may be left running for many years 43:This article includes a list of general 1373: 486:Much more serious leaks include those: 354: 267: 217: 181: 101: 94: 1084:' You could still get out of it... 715:Resource acquisition is initialization 710:Resource acquisition is initialization 7: 1389:from the original on 7 December 2012 1318:it will consume memory continuously. 1198:Publicly accessible systems such as 1584:Input–output memory management unit 1409:"Creating a memory leak with Java" 536:The following example, written in 355:Notable compilers & toolchains 49:it lacks sufficient corresponding 25: 1321:Therefore, a leak would occur. */ 1933: 1932: 1923: 1922: 1913: 1912: 1903: 1902: 1893: 1892: 603:. The prevalence of memory leak 583:that have no built in automatic 34: 1755:Concurrent mark sweep collector 1880:Region-based memory management 1485:for Visual Studio, proprietary 1473:for Visual Studio, open source 684:is a reference that, unlike a 614:to detect unreachable memory. 1: 1497:(Using MFC Debugging Support) 1191:If the memory leak is in the 1143:Most modern consumer desktop 659:are some of the more popular 1928:Memory management algorithms 1740:Automatic Reference Counting 1578:Translation lookaside buffer 312:target-specific initializer) 1918:Automatic memory management 1717:C dynamic memory allocation 472:performance of the computer 139:Intermediate representation 1980: 1938:Memory management software 1785:Tracing garbage collection 1618:Virtual memory compression 1114:programming techniques in 707: 470:A memory leak reduces the 1888: 1551: 1208:denial-of-service attacks 532:An example of memory leak 1712:Static memory allocation 1704:Manual memory management 1255: 1126:code which associated a 973: 828: 731: 1770:Garbage-first collector 1745:Boehm garbage collector 1651:x86 memory segmentation 1495:Detecting a Memory Leak 1245:A simple example in C++ 1120:lapsed listener problem 363:GNU Compiler Collection 288:Common Language Runtime 64:more precise citations. 1775:Mark–compact algorithm 1572:Memory management unit 1383:"JScript Memory Leaks" 1226:Other memory consumers 1188: 1024:"Some.Thing" 1003:"Some.Thing" 218:Compilation strategies 1186: 931:or another database. 910:dynamically allocated 597:dynamically allocated 243:Compile and go system 1722:new and delete (C++) 1464:Visual Leak Detector 1381:Crockford, Douglas. 1355:Java Virtual Machine 626:, Memory Validator, 432:incorrectly manages 316:Java virtual machine 238:Tracing just-in-time 1628:Memory segmentation 629:IBM Rational Purify 428:that occurs when a 132:Optimizing compiler 1964:Software anomalies 1870:Automatic variable 1854:Unreachable memory 1780:Reference counting 1750:Cheney's algorithm 1732:Garbage collection 1469:2015-12-15 at the 1220:garbage collection 1189: 1170:segmentation fault 958:reference counting 954:garbage collection 921:garbage collection 599:memory has become 585:garbage collection 575:Programming issues 446:unreachable memory 434:memory allocations 1946: 1945: 1898:Memory management 1646:Virtual 8086 mode 1545:Memory management 1504:" by Cal Erickson 1341:Memory management 1153:secondary storage 1145:operating systems 964:type of systems. 936:dangling pointers 414: 413: 96:Program execution 90: 89: 82: 16:(Redirected from 1971: 1936: 1935: 1926: 1925: 1916: 1915: 1906: 1905: 1896: 1895: 1823:Dangling pointer 1818:Buffer over-read 1790:Strong reference 1661:Memory allocator 1538: 1531: 1524: 1515: 1489:Memory Validator 1451: 1448: 1442: 1441: 1439: 1437: 1429:Mitchell, Neil. 1426: 1420: 1419: 1417: 1416: 1411:. Stack Overflow 1405: 1399: 1398: 1396: 1394: 1378: 1325: 1322: 1319: 1316: 1313: 1310: 1307: 1304: 1301: 1298: 1295: 1292: 1289: 1286: 1283: 1280: 1277: 1274: 1271: 1268: 1265: 1262: 1259: 1103: 1100: 1097: 1094: 1091: 1088: 1085: 1082: 1079: 1076: 1073: 1070: 1067: 1064: 1061: 1058: 1055: 1052: 1049: 1046: 1043: 1040: 1037: 1034: 1031: 1028: 1025: 1022: 1019: 1016: 1013: 1010: 1007: 1004: 1001: 998: 995: 992: 989: 986: 983: 980: 977: 929:Windows Registry 918: 904: 901: 898: 895: 892: 889: 886: 883: 880: 877: 874: 871: 868: 865: 862: 859: 856: 853: 850: 847: 844: 841: 838: 835: 832: 825: 822: 819: 816: 813: 810: 807: 804: 801: 798: 795: 792: 789: 786: 783: 780: 777: 774: 771: 768: 765: 762: 759: 756: 753: 750: 747: 744: 741: 740:<stdlib.h> 738: 735: 682:strong reference 678:strong reference 661:memory debuggers 492:embedded systems 430:computer program 418:computer science 406: 399: 392: 268:Notable runtimes 255:Transcompilation 102:General concepts 92: 85: 78: 74: 71: 65: 60:this 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Index

Memory leaks
references
inline citations
improve
introducing
Learn how and when to remove this message
Program execution
Code
Translation
Compiler
Compile time
Optimizing compiler
Intermediate representation
Execution
Runtime system
Runtime
Executable
Interpreter
Virtual machine
Source code
Object code
Bytecode
Machine code
Microcode
Ahead-of-time
Just-in-time
Tracing just-in-time
Compile and go system
Precompilation
Transcompilation

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