containers

As per title: I'm trying to run Maven automated test from Jenkins slave that is containerized and after battling this for a week now I'm running out of ideas. It works as is on AWS instance with 4G of RAM but in unrestricted (on RAM and CPU) container it fails with error like below. The only circumstances when it runs is when I disable forking for Failsafe plugin but that is not an option going forward. I tried all sorts of Java/Maven/Failsafe/Surefire options I could have found using Google but no luck (like adding global Java -Xmx options and also per plugin in pom.xml). Has anyone ran it

I am working on a middle sized WPF application (MVVM) that should be extensible and maintainable in the future. Thus I decided to use an IoC container (Unity in this case) to keep things flexible. However I am not sure where to place and configure Unity in a WPF application. I guess container should be accessible globally so it should probably go to Application class. But should I make it as static property? Should I configure it in Application_Startup() event handler? Eg: /// <summary> /// Interaction logic for App.xaml /// </summary> public partial class App : Application { public static

I'm new to Spark on YARN and don't understand the relation between the YARN Containers and the Spark Executors . I tried out the following configuration, based on the results of the yarn-utils.py script, that can be used to find optimal cluster configuration. The Hadoop cluster (HDP 2.4) I'm working on: 1 Master Node: CPU: 2 CPUs with 6 cores each = 12 cores RAM: 64 GB SSD: 2 x 512 GB 5 Slave Nodes: CPU: 2 CPUs with 6 cores each = 12 cores RAM: 64 GB HDD: 4 x 3 TB = 12 TB HBase is installed (this is one of the parameters for the script below) So I ran python yarn-utils.py -c 12 -m 64 -d 4 -k

Is there something similar in Python that I would use for a container that's like a vector and a list? Any links would be helpful too. You can use the inbuilt list - underlying implementation is similar to C++ vector. Although some things differ - for example, you can put objects of different type in one and the same list. http://effbot.org/zone/python-list.htm Have a look at Python's datastructures page. Here's a rough translation: () => boost::Tuple (with one important distinction, you can't reassign values in a Python tuple) [] => std::vector (as the comments have aluded towards, lacks

As the question states ... I don't get the point about multiset s / multimap s . So, what's the purpose? Some use cases: multimap With ZIP code as a key, all people which have that ZIP code With account ID as key, all open orders of that person/account A dictionary, with per keyword various explanations multiset is in essence a map with a key and a integer count. The inventory of a shop, all products have their key and the amount still available is the value accumulated sales data of a shop, every time a product is sold the product id get's added to the multiset thereby increasing the amount

How does container object like vector in stl get destroyed even though they are created in heap? EDIT If the container holds pointers then how to destroy those pointer objects jmucchiello An STL container of pointer will NOT clean up the data pointed at. It will only clean up the space holding the pointer. If you want the vector to clean up pointer data you need to use some kind of smart pointer implementation: { std::vector<SomeClass*> v1; v1.push_back(new SomeClass()); std::vector<boost::shared_ptr<SomeClass> > v2; boost::shared_ptr<SomeClass> obj(new SomeClass); v2.push_back(obj); } When