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  • [C++] A minimalistic smart array (container) class template

    - by legends2k
    I've written a (array) container class template (lets call it smart array) for using it in the BREW platform (which doesn't allow many C++ constructs like STD library, exceptions, etc. It has a very minimal C++ runtime support); while writing this my friend said that something like this already exists in Boost called MultiArray, I tried it but the ARM compiler (RVCT) cries with 100s of errors. I've not seen Boost.MultiArray's source, I've just started learning template only lately; template meta programming interests me a lot, although am not sure if this is strictly one, which can be categorised thus. So I want all my fellow C++ aficionados to review it ~ point out flaws, potential bugs, suggestions, optimisations, etc.; somthing like "you've not written your own Big Three which might lead to...". Possibly any criticism that'll help me improve this class and thereby my C++ skills. smart_array.h #include <vector> using std::vector; template <typename T, size_t N> class smart_array { vector < smart_array<T, N - 1> > vec; public: explicit smart_array(vector <size_t> &dimensions) { assert(N == dimensions.size()); vector <size_t>::iterator it = ++dimensions.begin(); vector <size_t> dimensions_remaining(it, dimensions.end()); smart_array <T, N - 1> temp_smart_array(dimensions_remaining); vec.assign(dimensions[0], temp_smart_array); } explicit smart_array(size_t dimension_1 = 1, ...) { static_assert(N > 0, "Error: smart_array expects 1 or more dimension(s)"); assert(dimension_1 > 1); va_list dim_list; vector <size_t> dimensions_remaining(N - 1); va_start(dim_list, dimension_1); for(size_t i = 0; i < N - 1; ++i) { size_t dimension_n = va_arg(dim_list, size_t); assert(dimension_n > 0); dimensions_remaining[i] = dimension_n; } va_end(dim_list); smart_array <T, N - 1> temp_smart_array(dimensions_remaining); vec.assign(dimension_1, temp_smart_array); } smart_array<T, N - 1>& operator[](size_t index) { assert(index < vec.size() && index >= 0); return vec[index]; } size_t length() const { return vec.size(); } }; template<typename T> class smart_array<T, 1> { vector <T> vec; public: explicit smart_array(vector <size_t> &dimension) : vec(dimension[0]) { assert(dimension[0] > 0); } explicit smart_array(size_t dimension_1 = 1) : vec(dimension_1) { assert(dimension_1 > 0); } T& operator[](size_t index) { assert(index < vec.size() && index >= 0); return vec[index]; } size_t length() { return vec.size(); } }; Sample Usage: #include <iostream> using std::cout; using std::endl; int main() { // testing 1 dimension smart_array <int, 1> x(3); x[0] = 0, x[1] = 1, x[2] = 2; cout << "x.length(): " << x.length() << endl; // testing 2 dimensions smart_array <float, 2> y(2, 3); y[0][0] = y[0][1] = y[0][2] = 0; y[1][0] = y[1][1] = y[1][2] = 1; cout << "y.length(): " << y.length() << endl; cout << "y[0].length(): " << y[0].length() << endl; // testing 3 dimensions smart_array <char, 3> z(2, 4, 5); cout << "z.length(): " << z.length() << endl; cout << "z[0].length(): " << z[0].length() << endl; cout << "z[0][0].length(): " << z[0][0].length() << endl; z[0][0][4] = 'c'; cout << z[0][0][4] << endl; // testing 4 dimensions smart_array <bool, 4> r(2, 3, 4, 5); cout << "z.length(): " << r.length() << endl; cout << "z[0].length(): " << r[0].length() << endl; cout << "z[0][0].length(): " << r[0][0].length() << endl; cout << "z[0][0][0].length(): " << r[0][0][0].length() << endl; // testing copy constructor smart_array <float, 2> copy_y(y); cout << "copy_y.length(): " << copy_y.length() << endl; cout << "copy_x[0].length(): " << copy_y[0].length() << endl; cout << copy_y[0][0] << "\t" << copy_y[1][0] << "\t" << copy_y[0][1] << "\t" << copy_y[1][1] << "\t" << copy_y[0][2] << "\t" << copy_y[1][2] << endl; return 0; }

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  • C++ polymorphism, function calls

    - by moai
    Okay, I'm pretty inexperienced as a programmer, let alone in C++, so bear with me here. What I wanted to do was to have a container class hold a parent class pointer and then use polymorphism to store a child class object. The thing is that I want to call one of the child class's functions through the parent class pointer. Here's a sort of example of what I mean in code: class SuperClass { public: int x; } class SubClass : public SuperClass { public: void function1() { x += 1; } } class Container { public: SuperClass * alpha; Container(SuperClass& beta) { alpha = beta; } } int main() { Container cont = new Container(new SubClass); } (I'm not sure that's right, I'm still really shaky on pointers. I hope it gets the point across, at least.) So, I'm not entirely sure whether I can do this or not. I have a sneaking suspicion the answer is no, but I want to be sure. If someone has another way to accomplish this sort of thing, I'd be glad to hear it.

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  • Container for database-like searches

    - by Milan Babuškov
    I'm looking for some STL, boost, or similar container to use the same way indexes are used in databases to search for record using a query like this: select * from table1 where field1 starting with 'X'; or select * from table1 where field1 like 'X%'; I thought about using std::map, but I cannot because I need to search for fields that "start with" some text, and not those that are "equal to". I could create a sorted vector or list and use binary search (breaking the set in 2 in each step by reading the element in the middle and seeing if it's more or less than 'X'), but I wonder if there is some ready-made container I could use without reinventing the wheel?

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  • How to set a default value in an IF snippet?

    - by kuti
    Hello, I have the following snippet in a bash script written in Solaris 10: printf "port(389)=" read PORT if [[ $PORT == "" ]]; then PORT=389 fi What I am trying to get that if the user hits the enter key, the Port should be set to 389. The snippet above does not seem to be working. Any suggestions?

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  • C++ design question, container of instances and pointers

    - by Tom
    Hi all, Im wondering something. I have class Polygon, which composes a vector of Line (another class here) class Polygon { std::vector<Line> lines; public: const_iterator begin() const; const_iterator end() const; } On the other hand, I have a function, that calculates a vector of pointers to lines, and based on those lines, should return a pointer to a Polygon. Polygon* foo(Polygon& p){ std::vector<Line> lines = bar (p.begin(),p.end()); return new Polygon(lines); } Here's the question: I can always add a Polygon (vector Is there a better way that dereferencing each element of the vector and assigning it to the existing vector container? //for line in vector<Line*> v //vcopy is an instance of vector<Line> vcopy.push_back(*(v.at(i)) I think not, but I dont really like that approach. Hopefully, I will be able to convince the author of the class to change it, but I cant base my coding right now to that fact (and i'm scared of a performance hit). Thanks in advance.

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  • C++ design question, container of instances and pointers

    - by Tom
    Hi all, Im wondering something. I have class Polygon, which composes a vector of Line (another class here) class Polygon { std::vector<Line> lines; public: const_iterator begin() const; const_iterator end() const; } On the other hand, I have a function, that calculates a vector of pointers to lines, and based on those lines, should return a pointer to a Polygon. Polygon* foo(Polygon& p){ std::vector<Line> lines = bar (p.begin(),p.end()); return new Polygon(lines); } Here's the question: I can always add a Polygon (vector Is there a better way that dereferencing each element of the vector and assigning it to the existing vector container? //for line in vector<Line*> v //vcopy is an instance of vector<Line> vcopy.push_back(*(v.at(i)) I think not, but I dont really like that approach. Hopefully, I will be able to convince the author of the class to change it, but I cant base my coding right now to that fact (and i'm scared of a performance hit). Thanks in advance.

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  • Multiple generic types in one container

    - by Lirik
    I was looking at the answer of this question regarding multiple generic types in one container and I can't really get it to work: the properties of the Metadata class are not visible, since the abstract class doesn't have them. Here is a slightly modified version of the code in the original question: public abstract class Metadata { } public class Metadata<T> : Metadata { // ... some other meta data public T Function{ get; set; } } List<Metadata> metadataObjects; metadataObjects.Add(new Metadata<Func<double,double>>()); metadataObjects.Add(new Metadata<Func<int,double>>()); metadataObjects.Add(new Metadata<Func<double,int>>()); foreach( Metadata md in metadataObjects) { var tmp = md.Function; // <-- Error: does not contain a definition for Function } The exact error is: error CS1061: 'Metadata' does not contain a definition for 'Function' and no extension method 'Function' accepting a first argument of type 'Metadata' could be found (are you missing a using directive or an assembly reference?) I believe it's because the abstract class does not define the property Function, thus the whole effort is completely useless. Is there a way that we can get the properties?

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  • A minimalistic smart array (container) class template

    - by legends2k
    I've written a (array) container class template (lets call it smart array) for using it in the BREW platform (which doesn't allow many C++ constructs like STD library, exceptions, etc. It has a very minimal C++ runtime support); while writing this my friend said that something like this already exists in Boost called MultiArray, I tried it but the ARM compiler (RVCT) cries with 100s of errors. I've not seen Boost.MultiArray's source, I've started learning templates only lately; template meta programming interests me a lot, although am not sure if this is strictly one that can be categorized thus. So I want all my fellow C++ aficionados to review it ~ point out flaws, potential bugs, suggestions, optimizations, etc.; something like "you've not written your own Big Three which might lead to...". Possibly any criticism that will help me improve this class and thereby my C++ skills. Edit: I've used std::vector since it's easily understood, later it will be replaced by a custom written vector class template made to work in the BREW platform. Also C++0x related syntax like static_assert will also be removed in the final code. smart_array.h #include <vector> #include <cassert> #include <cstdarg> using std::vector; template <typename T, size_t N> class smart_array { vector < smart_array<T, N - 1> > vec; public: explicit smart_array(vector <size_t> &dimensions) { assert(N == dimensions.size()); vector <size_t>::iterator it = ++dimensions.begin(); vector <size_t> dimensions_remaining(it, dimensions.end()); smart_array <T, N - 1> temp_smart_array(dimensions_remaining); vec.assign(dimensions[0], temp_smart_array); } explicit smart_array(size_t dimension_1 = 1, ...) { static_assert(N > 0, "Error: smart_array expects 1 or more dimension(s)"); assert(dimension_1 > 1); va_list dim_list; vector <size_t> dimensions_remaining(N - 1); va_start(dim_list, dimension_1); for(size_t i = 0; i < N - 1; ++i) { size_t dimension_n = va_arg(dim_list, size_t); assert(dimension_n > 0); dimensions_remaining[i] = dimension_n; } va_end(dim_list); smart_array <T, N - 1> temp_smart_array(dimensions_remaining); vec.assign(dimension_1, temp_smart_array); } smart_array<T, N - 1>& operator[](size_t index) { assert(index < vec.size() && index >= 0); return vec[index]; } size_t length() const { return vec.size(); } }; template<typename T> class smart_array<T, 1> { vector <T> vec; public: explicit smart_array(vector <size_t> &dimension) : vec(dimension[0]) { assert(dimension[0] > 0); } explicit smart_array(size_t dimension_1 = 1) : vec(dimension_1) { assert(dimension_1 > 0); } T& operator[](size_t index) { assert(index < vec.size() && index >= 0); return vec[index]; } size_t length() { return vec.size(); } }; Sample Usage: #include "smart_array.h" #include <iostream> using std::cout; using std::endl; int main() { // testing 1 dimension smart_array <int, 1> x(3); x[0] = 0, x[1] = 1, x[2] = 2; cout << "x.length(): " << x.length() << endl; // testing 2 dimensions smart_array <float, 2> y(2, 3); y[0][0] = y[0][1] = y[0][2] = 0; y[1][0] = y[1][1] = y[1][2] = 1; cout << "y.length(): " << y.length() << endl; cout << "y[0].length(): " << y[0].length() << endl; // testing 3 dimensions smart_array <char, 3> z(2, 4, 5); cout << "z.length(): " << z.length() << endl; cout << "z[0].length(): " << z[0].length() << endl; cout << "z[0][0].length(): " << z[0][0].length() << endl; z[0][0][4] = 'c'; cout << z[0][0][4] << endl; // testing 4 dimensions smart_array <bool, 4> r(2, 3, 4, 5); cout << "z.length(): " << r.length() << endl; cout << "z[0].length(): " << r[0].length() << endl; cout << "z[0][0].length(): " << r[0][0].length() << endl; cout << "z[0][0][0].length(): " << r[0][0][0].length() << endl; // testing copy constructor smart_array <float, 2> copy_y(y); cout << "copy_y.length(): " << copy_y.length() << endl; cout << "copy_x[0].length(): " << copy_y[0].length() << endl; cout << copy_y[0][0] << "\t" << copy_y[1][0] << "\t" << copy_y[0][1] << "\t" << copy_y[1][1] << "\t" << copy_y[0][2] << "\t" << copy_y[1][2] << endl; return 0; }

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  • C++ iterator and const_iterator problem for own container class

    - by BaCh
    Hi there, I'm writing an own container class and have run into a problem I can't get my head around. Here's the bare-bone sample that shows the problem. It consists of a container class and two test classes: one test class using a std:vector which compiles nicely and the second test class which tries to use my own container class in exact the same way but fails miserably to compile. #include <vector> #include <algorithm> #include <iterator> using namespace std; template <typename T> class MyContainer { public: class iterator { public: typedef iterator self_type; inline iterator() { } }; class const_iterator { public: typedef const_iterator self_type; inline const_iterator() { } }; iterator begin() { return iterator(); } const_iterator begin() const { return const_iterator(); } }; // This one compiles ok, using std::vector class TestClassVector { public: void test() { vector<int>::const_iterator I=myc.begin(); } private: vector<int> myc; }; // this one fails to compile. Why? class TestClassMyContainer { public: void test(){ MyContainer<int>::const_iterator I=myc.begin(); } private: MyContainer<int> myc; }; int main(int argc, char ** argv) { return 0; } gcc tells me: test2.C: In member function ‘void TestClassMyContainer::test()’: test2.C:51: error: conversion from ‘MyContainer::iterator’ to non-scalar type ‘MyContainer::const_iterator’ requested I'm not sure where and why the compiler wants to convert an iterator to a const_iterator for my own class but not for the STL vector class. What am I doing wrong?

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  • Random Movement in a Fixed Container

    - by James Barracca
    I'm looking to create something that can move randomly inside of a fixed div container. I love the way the object moves in this example that I found searching this website... http://jsfiddle.net/Xw29r/15/ The code on the jsfiddle contains the following: $(document).ready(function(){ animateDiv(); }); function makeNewPosition(){ // Get viewport dimensions (remove the dimension of the div) var h = $(window).height() - 50; var w = $(window).width() - 50; var nh = Math.floor(Math.random() * h); var nw = Math.floor(Math.random() * w); return [nh,nw]; } function animateDiv(){ var newq = makeNewPosition(); var oldq = $('.a').offset(); var speed = calcSpeed([oldq.top, oldq.left], newq); $('.a').animate({ top: newq[0], left: newq[1] }, speed, function(){ animateDiv(); }); }; function calcSpeed(prev, next) { var x = Math.abs(prev[1] - next[1]); var y = Math.abs(prev[0] - next[0]); var greatest = x > y ? x : y; var speedModifier = 0.1; var speed = Math.ceil(greatest/speedModifier); return speed; }? CSS: div.a { width: 50px; height:50px; background-color:red; position:fixed; }? However, I don't believe the code above constricts that object at all. I need my object to move randomly inside of a container that is let's say for now... 1200px in width and 500px in height. Can someone steer me in the right direction? I'm super new to coding so I'm having a hard time finding an answer on my own. Thanks so much! James

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  • What C# container is most resource-efficient for existence for only one operation?

    - by ccornet
    I find myself often with a situation where I need to perform an operation on a set of properties. The operation can be anything from checking if a particular property matches anything in the set to a single iteration of actions. Sometimes the set is dynamically generated when the function is called, some built with a simple LINQ statement, other times it is a hard-coded set that will always remain the same. But one constant always exists: the set only exists for one single operation and has no use before or after it. My problem is, I have so many points in my application where this is necessary, but I appear to be very, very inconsistent in how I store these sets. Some of them are arrays, some are lists, and just now I've found a couple linked lists. Now, none of the operations I'm specifically concerned about have to care about indices, container size, order, or any other functionality that is bestowed by any of the individual container types. I picked resource efficiency because it's a better idea than flipping coins. I figured, since array size is configured and it's a very elementary container, that might be my best choice, but I figure it is a better idea to ask around. Alternatively, if there's a better choice not out of resource-efficiency but strictly as being a better choice for this kind of situation, that would be nice as well.

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  • Copy method optimization in compilers

    - by Dženan
    Hi All! I have the following code: void Stack::operator =(Stack &rhs) { //do the actual copying } Stack::Stack(Stack &rhs) //copy-constructor { top=NULL; //initialize this as an empty stack (which it is) *this=rhs; //invoke assignment operator } Stack& Stack::CopyStack() { return *this; //this statement will invoke copy contructor } It is being used like this: unsigned Stack::count() { unsigned c=0; Stack copy=CopyStack(); while (!copy.empty()) { copy.pop(); c++; } return c; } Removing reference symbol from declaration of CopyStack (returning a copy instead of reference) makes no difference in visual studio 2008 (with respect to number of times copying is invoked). I guess it gets optimized away - normally it should first make a copy for the return value, then call assignment operator once more to assign it to variable sc. What is your experience with this sort of optimization in different compilers? Regards, Dženan

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  • C++: need indexed set

    - by user231536
    I need an indexed associative container that operates as follows: initially empty, size=0. when I add a new element to it, it places it at index [size], very similar to a vector's push_back. It increments the size and returns the index of the newly added element. if the element already exists, it returns the index where it occurs. Set seems the ideal data structure for this but I don't see any thing like getting an index from a find operation. Find on a set returns an iterator to the element. Will taking the difference with set.begin() be the correct thing to do in this situation?

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  • allocating extra memory for a container class.

    - by sil3nt
    Hey there, I'm writing a template container class and for the past few hours have been trying to allocate new memory for extra data that comes into the container (...hit a brick wall..:| ) template <typename T> void Container<T>::insert(T item, int index){ if ( index < 0){ cout<<"Invalid location to insert " << index << endl; return; } if (index < sizeC){ //copying original array so that when an item is //placed in the middleeverything else is shifted forward T *arryCpy = 0; int tmpSize = 0; tmpSize = size(); arryCpy = new T[tmpSize]; int i = 0, j = 0; for ( i = 0; i < tmpSize; i++){ for ( j = index; j < tmpSize; j++){ arryCpy[i] = elements[j]; } } //overwriting and placing item and location index elements[index] = item; //copying back everything else after the location at index int k = 0, l = 0; for ( k =(index+1), l=0; k < sizeC || l < (sizeC-index); k++,l++){ elements[k] = arryCpy[l]; } delete[] arryCpy; arryCpy = 0; } //seeing if the location is more than the current capacity //and hence allocating more memory if (index+1 > capacityC){ int new_capacity = 0; int current_size = size(); new_capacity = ((index+1)-capacityC)+capacityC; //variable for new capacity T *tmparry2 = 0; tmparry2 = new T[new_capacity]; int n = 0; for (n = 0; n < current_size;n++){ tmparry2[n] = elements[n]; } delete[] elements; elements = 0; //copying back what we had before elements = new T[new_capacity]; int m = 0; for (m = 0; m < current_size; m++){ elements[m] = tmparry2[m]; } //placing item elements[index] = item; } else{ elements[index] = item; } //increasing the current count sizeC++; my testing condition is Container cnt4(3); and as soon as i hit the fourth element (when I use for egsomething.insert("random",3);) it crashes and the above doesnt work. where have I gone wrong?

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  • Javascript object encapsulation that tracks changes

    - by Raynos
    Is it possible to create an object container where changes can be tracked Said object is a complex nested object of data. (compliant with JSON). The wrapper allows you to get the object, and save changes, without specifically stating what the changes are Does there exist a design pattern for this kind of encapsulation Deep cloning is not an option since I'm trying to write a wrapper like this to avoid doing just that. The solution of serialization should only be considered if there are no other solutions. An example of use would be var foo = state.get(); // change state state.update(); // or state.save(); client.tell(state.recentChange()); A jsfiddle snippet might help : http://jsfiddle.net/Raynos/kzKEp/ It seems like implementing an internal hash to keep track of changes is the best option. [Edit] To clarify this is actaully done on node.js on the server. The only thing that changes is that the solution can be specific to the V8 implementation.

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  • C++ - Efficient way to iterate over the contents of a vector?

    - by Francisco P.
    Hello, everyone! I am implementing a text-based version of Scrabble for a college project. I have a vector containing around 400K strings (my dictionary), and, at some point in every turn, I'm going to have to check if any word in the dictionary can be formed with the pieces in the player's hand. My only solution to this is iterating through the string, one by one, and using a sub-routine I have to check if the string in question can be formed from the player's pieces. I'll implement a quickfail checking if the user has any vowels, but it'll still be woefully inefficient. Any suggestions? Thanks for your time!

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  • C++ - How to efficiently find out if any string in a vector can be assembled from a set of letters

    - by Francisco P.
    Hello, everyone! I am implementing a text-based version of Scrabble for a college project. I have a vector containing around 400K strings (my dictionary), and, at some point in every turn, I'm going to have to check if there's still a word in the dictionary which can be formed with the pieces in the player's hand. I'm checking if the player has any move left... If not, it's game over for the player in question... My only solution to this is iterating through the string, one by one, and using a sub-routine I have to check if the string in question can be formed from the player's pieces. I'll implement a quickfail checking if the user has any vowels, but it'll still be woefully inefficient. Any suggestions? Thanks for your time!

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  • What's hot in Oracle Premier Support News for Solaris, Storage and Systems - How to Patch!

    - by user12244613
    Struggling with locating patches for Sun products? Can't find your Oracle System Drivers? This question has been raised many times by customers and was the source of a short video in the Oracle System Support Newsletter in February 2012. The transition between SunSolve and My Oracle Support is to change how you think about the type of patch your looking for. For example, in SunSolve you might have typed e1000g if looking for an Enternet Driver.. but entering e1000g will not find anything in My Oracle Support - Patches and Update Menu. As you need to use the Product (Advanced) search which is driven of the Product Name, therefore you need to type "Ethernet" and select the ethernet product you are looking for to locate the patches for this product. Just to recap that video: If you are looking for the e1000g Ethernet Driver - You need to use Advance Search and search for Enternet 1. Log into My Oracle Support - Select Patches and Updates - Select Product or Family (Advanced Search). 2. In the product line enter: Ethernet and select the product name from the menu. 3. Check remove supersede patches - that ensure you only get relevant current patches in the results. 4. Select Search and the results are displayed. Now you have more options to include the platform (Solaris,Linux etc.) if want to further narrow the search. Need more information? Log into My Oracle Support and what a short 90sec video I put together. View the 7 minute Video using Firefox/chrome – It shows searching for individual patches, Solaris, Firmware etc. If you are not receiving the Oracle System Support Newsletter: Option (a) Within My Oracle Support, make document id: 1363390.1 a favourite and revisit it on the 2nd of each month for the latest content. Option (b) By default the Newsletter  is sent to all customers who have logged a Service Request on an Oracle Systems Hardware Product during the last 12months, unless you have opted out to receiving Oracle Communications on your profile on http://oracle.com

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  • Mark your calendar : Oracle Week, Nov 18-22, Herzliya

    - by Frederic Pariente
    The local ISV Engineering will be participating at the Israel Oracle Week on Nov 18-22, come meet us there! MARK YOUR CALENDAR Oracle Week Israel Date : November 18-22, 2012 Time : 09:00-16:30 Location :  Daniel HotelHerzliyaIsrael Tracks : DatabaseMiddlewareDevelopment InfrastructureBusiness ApplicationsBig Data ManagementSOA & BPMBI JavaITCloud  Here is a sample list of the Solaris 11 sessions to date, make sure to register for these. Number Name Date Track 12224 Optimizing Enterprise Applications with Oracle Solaris 11 19/11/2012 Infrastructure 12327 Oracle Solaris 11: Engineered Cloud Security with Wire-Speed Encryption and Delegated Admin 20/11/2012 Infrastructure, Cloud 12425 Simplified Lifecycle Management in Oracle Solaris 11 with AI, IPS and Ops Center 21/11/2012 Infrastructure 12528 Oracle Solaris 11 Administration: Zone, Resource Management and System Security 22/11/2012 Infrastructure 12127 Built for Cloud: Virtualization Use Cases and Technologies in Oracle Solaris 11 18/11/2012 Infrastructure, Cloud See you there!

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  • Brendan Gregg's "Systems Performance: Enterprise and the Cloud"

    - by user12608550
    Long ago, the prerequisite UNIX performance book was Adrian Cockcroft's 1994 classic, Sun Performance and Tuning: Sparc & Solaris, later updated in 1998 as Java and the Internet. As Solaris evolved to include the invaluable DTrace observability features, new essential performance references have been published, such as Solaris Performance and Tools: DTrace and MDB Techniques for Solaris 10 and OpenSolaris (2006)  by McDougal, Mauro, and Gregg, and DTrace: Dynamic Tracing in Oracle Solaris, Mac OS X and FreeBSD (2011), also by Mauro and Gregg. Much has occurred in Solaris Land since those books appeared, notably Oracle's acquisition of Sun Microsystems in 2010 and the demise of the OpenSolaris community. But operating system technologies have continued to improve markedly in recent years, driven by stunning advances in multicore processor architecture, virtualization, and the massive scalability requirements of cloud computing. A new performance reference was needed, and I eagerly waited for something that thoroughly covered modern, distributed computing performance issues from the ground up. Well, there's a new classic now, authored yet again by Brendan Gregg, former Solaris kernel engineer at Sun and now Lead Performance Engineer at Joyent. Systems Performance: Enterprise and the Cloud is a modern, very comprehensive guide to general system performance principles and practices, as well as a highly detailed reference for specific UNIX and Linux observability tools used to examine and diagnose operating system behaviour.  It provides thorough definitions of terms, explains performance diagnostic Best Practices and "Worst Practices" (called "anti-methods"), and covers key observability tools including DTrace, SystemTap, and all the traditional UNIX utilities like vmstat, ps, iostat, and many others. The book focuses on operating system performance principles and expands on these with respect to Linux (Ubuntu, Fedora, and CentOS are cited), and to Solaris and its derivatives [1]; it is not directed at any one OS so it is extremely useful as a broad performance reference. The author goes beyond the intricacies of performance analysis and shows how to interpret and visualize statistical information gathered from the observability tools.  It's often difficult to extract understanding from voluminous rows of text output, and techniques are provided to assist with summarizing, visualizing, and interpreting the performance data. Gregg includes myriad useful references from the system performance literature, including a "Who's Who" of contributors to this great body of diagnostic tools and methods. This outstanding book should be required reading for UNIX and Linux system administrators as well as anyone charged with diagnosing OS performance issues.  Moreover, the book can easily serve as a textbook for a graduate level course in operating systems [2]. [1] Solaris 11, of course, and Joyent's SmartOS (developed from OpenSolaris) [2] Gregg has taught system performance seminars for many years; I have also taught such courses...this book would be perfect for the OS component of an advanced CS curriculum.

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  • Automating custom software installation in a zone

    - by mgerdts
    In Solaris 11, the internals of zone installation are quite different than they were in Solaris 10.  This difference allows the administrator far greater control of what software is installed in a zone.  The rules in Solaris 10 are simple and inflexible: if it is installed in the global zone and is not specifically excluded by package metadata from being installed in a zone, it is installed in the zone.  In Solaris 11, the rules are still simple, but are much more flexible:  the packages you tell it to install and the packages on which they depend will be installed. So, where does the default list of packages come from?  From the AI (auto installer) manifest, of course.  The default AI manifest is /usr/share/auto_install/manifest/zone_default.xml.  Within that file you will find:             <software_data action="install">                 <name>pkg:/group/system/solaris-small-server</name>             </software_data> So, the default installation will install pkg:/group/system/solaris-small-server.  Cool.  What is that?  You can figure out what is in the package by looking for it in the repository with your web browser (click the manifest link), or use pkg(1).  In this case, it is a group package (pkg:/group/), so we know that it just has a bunch of dependencies to name the packages that really wants installed. $ pkg contents -t depend -o fmri -s fmri -r solaris-small-server FMRI compress/bzip2 compress/gzip compress/p7zip ... terminal/luit terminal/resize text/doctools text/doctools/ja text/less text/spelling-utilities web/wget If you would like to see the entire manifest from the command line, use pkg contents -r -m solaris-small-server. Let's suppose that you want to install a zone that also has mercurial and a full-fledged installation of vim rather than just the minimal vim-core that is part of solaris-small-server.  That's pretty easy. First, copy the default AI manifest somewhere where you will edit it and make it writable. # cp /usr/share/auto_install/manifest/zone_default.xml ~/myzone-ai.xml # chmod 644 ~/myzone-ai.xml Next, edit the file, changing the software_data section as follows:             <software_data action="install">                 <name>pkg:/group/system/solaris-small-server</name>                 <name>pkg:/developer/versioning/mercurial</name>                <name>pkg:/editor/vim</name>             </software_data> To figure out  the names of the packages, either search the repository using your browser, or use a command like pkg search hg. Now we are all ready to install the zone.  If it has not yet been configured, that must be done as well. # zonecfg -z myzone 'create; set zonepath=/zones/myzone' # zoneadm -z myzone install -m ~/myzone-ai.xml A ZFS file system has been created for this zone. Progress being logged to /var/log/zones/zoneadm.20111113T004303Z.myzone.install Image: Preparing at /zones/myzone/root. Install Log: /system/volatile/install.15496/install_log AI Manifest: /tmp/manifest.xml.XfaWpE SC Profile: /usr/share/auto_install/sc_profiles/enable_sci.xml Zonename: myzone Installation: Starting ... Creating IPS image Installing packages from: solaris origin: http://localhost:1008/solaris/54453f3545de891d4daa841ddb3c844fe8804f55/ DOWNLOAD PKGS FILES XFER (MB) Completed 169/169 34047/34047 185.6/185.6 PHASE ACTIONS Install Phase 46498/46498 PHASE ITEMS Package State Update Phase 169/169 Image State Update Phase 2/2 Installation: Succeeded Note: Man pages can be obtained by installing pkg:/system/manual done. Done: Installation completed in 531.813 seconds. Next Steps: Boot the zone, then log into the zone console (zlogin -C) to complete the configuration process. Log saved in non-global zone as /zones/myzone/root/var/log/zones/zoneadm.20111113T004303Z.myzone.install Now, for a few things that I've seen people trip over: Ignore that bit about man pages - it's wrong.  Man pages are already installed so long as the right facet is set properly.  And that's a topic for another blog entry. If you boot the zone then just use zlogin myzone, you will see that services you care about haven't started and that svc:/milestone/config:default is starting.  That is because you have not yet logged into the console with zlogin -C myzone. If the zone has been booted for more than a very short while when you first connect to the zone console, it will seem like the console is hung.  That's not really the case - hit ^L (control-L) to refresh the sysconfig(1M) screen that is prompting you for information.

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  • Unexpected advantage of Engineered Systems

    - by user12244672
    It's not surprising that Engineered Systems accelerate the debugging and resolution of customer issues. But what has surprised me is just how much faster issue resolution is with Engineered Systems such as SPARC SuperCluster. These are powerful, complex, systems used by customers wanting extreme database performance, app performance, and cost saving server consolidation. A SPARC SuperCluster consists or 2 or 4 powerful T4-4 compute nodes, 3 or 6 extreme performance Exadata Storage Cells, a ZFS Storage Appliance 7320 for general purpose storage, and ultra fast Infiniband switches.  Each with its own firmware. It runs Solaris 11, Solaris 10, 11gR2, LDoms virtualization, and Zones virtualization on the T4-4 compute nodes, a modified version of Solaris 11 in the ZFS Storage Appliance, a modified and highly tuned version of Oracle Linux running Exadata software on the Storage Cells, another Linux derivative in the Infiniband switches, etc. It has an Infiniband data network between the components, a 10Gb data network to the outside world, and a 1Gb management network. And customers can run whatever middleware and apps they want on it, clustered in whatever way they want. In one word, powerful.  In another, complex. The system is highly Engineered.  But it's designed to run general purpose applications. That is, the physical components, configuration, cabling, virtualization technologies, switches, firmware, Operating System versions, network protocols, tunables, etc. are all preset for optimum performance and robustness. That improves the customer experience as what the customer runs leverages our technical know-how and best practices and is what we've tested intensely within Oracle. It should also make debugging easier by fixing a large number of variables which would otherwise be in play if a customer or Systems Integrator had assembled such a complex system themselves from the constituent components.  For example, there's myriad network protocols which could be used with Infiniband.  Myriad ways the components could be interconnected, myriad tunable settings, etc. But what has really surprised me - and I've been working in this area for 15 years now - is just how much easier and faster Engineered Systems have made debugging and issue resolution. All those error opportunities for sub-optimal cabling, unusual network protocols, sub-optimal deployment of virtualization technologies, issues with 3rd party storage, issues with 3rd party multi-pathing products, etc., are simply taken out of the equation. All those error opportunities for making an issue unique to a particular set-up, the "why aren't we seeing this on any other system ?" type questions, the doubts, just go away when we or a customer discover an issue on an Engineered System. It enables a really honed response, getting to the root cause much, much faster than would otherwise be the case. Here's a couple of examples from the last month, one found in-house by my team, one found by a customer: Example 1: We found a node eviction issue running 11gR2 with Solaris 11 SRU 12 under extreme load on what we call our ExaLego test system (mimics an Exadata / SuperCluster 11gR2 Exadata Storage Cell set-up).  We quickly established that an enhancement in SRU12 enabled an 11gR2 process to query Infiniband's Subnet Manager, replacing a fallback mechanism it had used previously.  Under abnormally heavy load, the query could return results which were misinterpreted resulting in node eviction.  In several daily joint debugging sessions between the Solaris, Infiniband, and 11gR2 teams, the issue was fully root caused, evaluated, and a fix agreed upon.  That fix went back into all Solaris releases the following Monday.  From initial issue discovery to the fix being put back into all Solaris releases was just 10 days. Example 2: A customer reported sporadic performance degradation.  The reasons were unclear and the information sparse.  The SPARC SuperCluster Engineered Systems support teams which comprises both SPARC/Solaris and Database/Exadata experts worked to root cause the issue.  A number of contributing factors were discovered, including tunable parameters.  An intense collaborative investigation between the engineering teams identified the root cause to a CPU bound networking thread which was being starved of CPU cycles under extreme load.  Workarounds were identified.  Modifications have been put back into 11gR2 to alleviate the issue and a development project already underway within Solaris has been sped up to provide the final resolution on the Solaris side.  The fixed SPARC SuperCluster configuration greatly aided issue reproduction and dramatically sped up root cause analysis, allowing the correct workarounds and fixes to be identified, prioritized, and implemented.  The customer is now extremely happy with performance and robustness.  Since the configuration is common to other customers, the lessons learned are being proactively rolled out to other customers and incorporated into the installation procedures for future customers.  This effectively acts as a turbo-boost to performance and reliability for all SPARC SuperCluster customers.  If this had occurred in a "home grown" system of this complexity, I expect it would have taken at least 6 months to get to the bottom of the issue.  But because it was an Engineered System, known, understood, and qualified by both the Solaris and Database teams, we were able to collaborate closely to identify cause and effect and expedite a solution for the customer.  That is a key advantage of Engineered Systems which should not be underestimated.  Indeed, the initial issue mitigation on the Database side followed by final fix on the Solaris side, highlights the high degree of collaboration and excellent teamwork between the Oracle engineering teams.  It's a compelling advantage of the integrated Oracle Red Stack in general and Engineered Systems in particular.

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  • ????”DDD”???!???????···OTN????????????

    - by OTN-J Master
    ???????????????????????Oracle DBA & Developer Day (??”DDD”)???????????:11?14?(?)13:30~18:00??:???????????(?????????????4????JR??????????????)???????????????????????????????????????????????????????????????????????????????????????????????????????????>> ???????????????????Oracle Database????????????????????????????????????????????????????(???????????????????????????????????????????????????) ~?????????????????~    ?A-1?????·???????! SQL?????????????????????    ?A-2?????·???????! SQL??????????    ?B-3?????·???????! ????????????????????    ?A-4??????! ????·??????????????????? ???OTN?????????????(!?)?????????????????????????(????????????????????????????????????!) ¦?Oracle Database 12c??????????? ?F-1~4?13:30~18:00 ????????????????Oracle Database 12c?????????????????????????????????????Oracle Database 12c????????????????????12c????????????????????Oracle MASTER for 12c?????????????????????????????????????????????!    ?F-1??????????????????????!Oracle Database 12c?ILM???    ?F-2?Oracle Database 12c?????????????    ?F-3?Oracle Database 12c??????????    ?F-4????????·??????? ???????? ¦ ?Oracle Database - ??????????????? ?? ?C-2? 14:40-15:40???????·????????????????????????????????????????/???????Oracle Database?????Data Protection????????????????????????????????????????? ????OTN?????”?????????????!DBA???”??????????????????????????????????????????????????????!????···(??????????????!!)???????????????????~???????????????~??????????????????????????????????????????????????????????????????????????????“?????”?????(??? ???)??????????????????????????????11?14?(?)??????Oracle DBA & Developer Day 2013?????Oracle Database????????????????????????????????????????????????????????????????¦ ?Oracle Fusion Middleware ????????? ???? ?? ?D-2? 14:40-15:40Java Flight Recorder - “Project HotRockit”HotSpot JVM??????????? “Project HotRockit” ????????????????????????Java Flight Recorder??????????Java?????????????????(???????)????????????JVM??????????????????????????? Java Mission Control?????????? Java Flight Recorder?Java Mission Control??JDK 7 Update 40 (7u40)???????????????????????????????????????????Java??????????????????????Java SE Advanced(????)??????????????????Java SE?????(??:BCL)???????????????????????????????????????????????????????????????????????????????????????OTN????Java Mission Control??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????Oracle Java Mission Control ??? Java Flight Recorder: ?????????????????????Java???????(PDF)¦?Oracle Solaris?Oracle Hardware?????????????? ???E-3/E-4? ?? 15:50-16:50 ?? 17:00-18:00 ??????????: ?????Oracle Solaris 11!????????????Solaris???????????????????????100???????????????Solaris 11?Solaris Zones?DTrace?ZFS????????????Solaris 11?100?????????????????????????????????????? ?? ? DDD????????????????????????????????Solaris11 ??????????????????????(?????????????!)?????????????Solaris?????????????????????????????????Solaris??????????????????Solaris 11??????????????????????????????????!????:???????????????????????????????????????100??????????????????????????????????????????????????????????????!!>> ????????????

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  • Splitting a raidctl mirror safely

    - by milkfilk
    I have a Sun T5220 server with the onboard LSI card and two disks that were in a RAID 1 mirror. The data is not important right now but we had a failed disk and are trying to understand how to do this for real if we had to recover from a failure. The initial situation looked like this: # raidctl -l c1t0d0 Volume Size Stripe Status Cache RAID Sub Size Level Disk ---------------------------------------------------------------- c1t0d0 136.6G N/A DEGRADED OFF RAID1 0.1.0 136.6G GOOD N/A 136.6G FAILED Green light on the 0.0.0 disk. Find / lights up the 0.1.0 disk. So I know I have a bad drive and which one it is. Server still boots obviously. First, we tried putting a new disk in. This disk came from an unknown source. Format would not see it, cfgadm -al would not see it so raidctl -l would not see it. I figure it's bad. We tried another disk from another spare server: # raidctl -c c1t1d0 c1t0d0 (where t1 is my good disk - 0.1.0) Disk has occupied space. Also the different syntax options don't change anything: # raidctl -C "0.1.0 0.0.0" -r 1 1 Disk has occupied space. # raidctl -C "0.1.0 0.0.0" 1 Disk has occupied space. Ok. Maybe this is because the disk from the spare server had a RAID 1 on it already. Aha, I can see another volume in raidctl: # raidctl -l Controller: 1 Volume:c1t1d0 (this is my server's root mirror) Volume:c1t132d0 (this is the foreign root mirror) Disk: 0.0.0 Disk: 0.1.0 ... No problem. I don't care about the data, I'll just delete the foreign mirror. # raidctl -d c1t132d0 (warning about data deletion but it works) At this point, /usr/bin/ binaries freak out. By that I mean, ls -l /usr/bin/which shows 1.4k but cat /usr/bin/which gives me a newline. Great, I just blew away the binaries (ie: binaries in mem still work)? I bounce the box. It all comes back fine. WTF. Anyway, back to recreating my mirror. # raidctl -l Controller: 1 Volume:c1t1d0 (this is my server's root mirror) Disk: 0.0.0 Disk: 0.1.0 ... Man says that you can delete a mirror and it will split it. Ok, I'll delete the root mirror. # raidctl -d c1t0d0 Array in use. (this might not be the exact error) I googled this and found of course you can't do this (even with -f) while booted off the mirror. Ok. I boot cdrom -s and deleted the volume. Now I have one disk that has a type of "LSI-Logical-Volume" on c1t1d0 (where my data is) and a brand new "Hitachi 146GB" on c1t0d0 (what I'm trying to mirror to): (booted off the CD) # raidctl -c c1t1d0 c1t0d0 (man says it's source destination for mirroring) Illegal Array Layout. # raidctl -C "0.1.0 0.0.0" -r 1 1 (alt syntax per man) Illegal Array Layout. # raidctl -C "0.1.0 0.0.0" 1 (assumes raid1, no help) Illegal Array Layout. Same size disks, same manufacturer but I did delete the volume instead of throwing in a blank disk and waiting for it to resync. Maybe this was a critical error. I tried selecting the type in format for my good disk to be a plain 146gb disk but it resets the partition table which I'm pretty sure would wipe the data (bad if this was production). Am I boned? Anyone have experience with breaking and resyncing a mirror? There's nothing on Google about "Illegal Array Layout" so here's my contrib to the search gods.

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