heap-memory

问题 OK, so I am writing a program that unfortunately needs to use a huge data structure to complete its work, but it is failing with a "out of memory error" during its initialization. While I understand entirely what that means and why it is a problem, I am having trouble overcoming it, since my program needs to use this large structure and I don't know any other way to store it. The program first indexes a large corpus of text files that I provide. This works fine. Then it uses this index to

问题 I'm trying to spin up a Neo4j 3.1 instance in a Docker container (through Docker-Compose), running on OSX (El Capitan). All is well, unless I try to increase the max-heap space available to Neo above the default of 512MB. According to the docs, this can be achieved by adding the environment variable NEO4J_dbms_memory_heap_maxSize , which then causes the server wrapper script to update the neo4j.conf file accordingly. I've checked and it is being updated as one would expect. The problem is,

问题 I'm trying to spin up a Neo4j 3.1 instance in a Docker container (through Docker-Compose), running on OSX (El Capitan). All is well, unless I try to increase the max-heap space available to Neo above the default of 512MB. According to the docs, this can be achieved by adding the environment variable NEO4J_dbms_memory_heap_maxSize , which then causes the server wrapper script to update the neo4j.conf file accordingly. I've checked and it is being updated as one would expect. The problem is,

问题 How can I calculate heap chunk size from raw bytes read from memory. I tried below thing. 0:001> !heap Index Address Name Debugging options enabled 1: 00500000 2: 00280000 3: 008f0000 4: 00ab0000 5: 00cc0000 0:001> !heap -a 00500000 .. .. Heap entries for Segment00 in Heap 00500000 address: psize . size flags state (requested size) 00500000: 00000 . 00588 [101] - busy (587) 00500588: 00588 . 00240 [101] - busy (23f) 005007c8: 00240 . 00020 [101] - busy (18) 005007e8: 00020 . 00ca0 [101] -

问题 How can I calculate heap chunk size from raw bytes read from memory. I tried below thing. 0:001> !heap Index Address Name Debugging options enabled 1: 00500000 2: 00280000 3: 008f0000 4: 00ab0000 5: 00cc0000 0:001> !heap -a 00500000 .. .. Heap entries for Segment00 in Heap 00500000 address: psize . size flags state (requested size) 00500000: 00000 . 00588 [101] - busy (587) 00500588: 00588 . 00240 [101] - busy (23f) 005007c8: 00240 . 00020 [101] - busy (18) 005007e8: 00020 . 00ca0 [101] -

问题 This is crazy; has anyone ever seen this before? java –Xmx1G –Xms1G –XX:+UseG1GC -XX:+PerfDisableSharedMem -jar service-1.0-SNAPSHOT.jar Error: Could not find or load main class –Xmx1G I can do this: java -jar service-1.0-SNAPSHOT.jar –Xmx1G –Xms1G –XX:+UseG1GC -XX:+PerfDisableSharedMem but jmap -heap {PID} shows that it's ignoring the options completely. I've tried different variations: java –XX:+UseG1GC -jar service-1.0-SNAPSHOT.jar –Xmx1G –Xms1G -XX:+PerfDisableSharedMem java -Xms1G -Xmx1G

问题 I was creating the implementation of functional interface,below is my code Consumer<Integer> consumer=new Consumer<Integer>() { @Override public void accept(Integer t) { System.out.println(t); } }; As per javadoc A variable of a class type T can hold a null reference or a reference to an instance of class T or of any class that is a subclass of T. Here Object of anonymous object created,which is subclass of Consumer and can be refer by reference variable consumer ,which is Fine. But I saw

问题 This question is unlikely to help any future visitors; it is only relevant to a small geographic area, a specific moment in time, or an extraordinarily narrow situation that is not generally applicable to the worldwide audience of the internet. For help making this question more broadly applicable, visit the help center. Closed 6 years ago . I know that a __block variable will be moved to the heap from the stack if a Block accessing it was copied. But the following test code show me that the

问题 For efficiency's sake I am trying to figure out how python works with its heap of objects (and system of namespaces, but it is more or less clear). So, basically, I am trying to understand when objects are loaded into the heap, how many of them are there, how long they live etc. And my question is when I work with a package and import something from it : from pypackage import pymodule what objects get loaded into the memory (into the object heap of the python interpreter)? And more generally:

问题 I am facing below OutOfMemor errors, and JMeter stops working.... java.lang.OutOfMemoryError: Java heap space Dumping heap to java_pid4412.hprof ... Heap dump file created [591747609 bytes in 71.244 secs] Exception in thread "AWT-EventQueue-0" java.lang.OutOfMemoryError: Java heap space Exception in thread "AWT-EventQueue-0" java.lang.OutOfMemoryError: Java heap space Exception in thread "AWT-EventQueue-0" java.lang.OutOfMemoryError: Java heap space Exception in thread "AWT-EventQueue-0" java