• direct memory size

  • netty or oplog

  • 5.5kw * 20

  • 60G worker/ 26G MaxDirectMemorySize

  • 1/2 tasks per worker both error

  • some tasks can work well

  • because of memory and multithreads pattern caused by resource scrambling

  • gc-log:

2018-11-09T14:10:47.973+0800: 7393.560: [CMS-concurrent-sweep: 0.241/0.241 secs] [Times: user=0.48 sys=0.00, real=0.24 secs]

2018-11-09T14:10:47.973+0800: 7393.560: [CMS-concurrent-reset-start]

2018-11-09T14:10:48.038+0800: 7393.625: [CMS-concurrent-reset: 0.065/0.065 secs] [Times: user=0.13 sys=0.00, real=0.07 secs]

2018-11-09T14:10:50.038+0800: 7395.625: [GC (CMS Initial Mark) [1 CMS-initial-mark: 25626226K(26204160K)] 39382689K(40762048K), 0.0139416 secs] [Times: user=0.02 sys=0.01, real=0.01 secs]

2018-11-09T14:10:50.052+0800: 7395.639: [CMS-concurrent-mark-start]

2018-11-09T14:10:50.427+0800: 7396.014: [CMS-concurrent-mark: 0.375/0.375 secs] [Times: user=2.59 sys=0.02, real=0.37 secs]

2018-11-09T14:10:50.427+0800: 7396.014: [CMS-concurrent-preclean-start]

2018-11-09T14:10:50.457+0800: 7396.044: [CMS-concurrent-preclean: 0.030/0.030 secs] [Times: user=0.06 sys=0.00, real=0.03 secs]

2018-11-09T14:10:50.457+0800: 7396.044: [CMS-concurrent-abortable-preclean-start]

2018-11-09T14:10:50.457+0800: 7396.044: [CMS-concurrent-abortable-preclean: 0.000/0.000 secs] [Times: user=0.00 sys=0.00, real=0.00 secs]

2018-11-09T14:10:50.458+0800: 7396.045: [GC (CMS Final Remark) [YG occupancy: 13756466 K (14557888 K)]2018-11-09T14:10:50.458+0800: 7396.045: [GC (CMS Final Remark) 2018-11-09T14:10:50.458+0800: 7396.045: [ParNew: 13756466K->13756466K(14557888K), 0.0000233 secs] 39382693K->39382693K(40762048K), 0.0000914 secs] [Times: user=0.00 sys=0.00, real=0.00 secs]

2018-11-09T14:10:50.458+0800: 7396.045: [Rescan (parallel) , 0.0138796 secs]2018-11-09T14:10:50.472+0800: 7396.059: [weak refs processing, 0.0000406 secs]2018-11-09T14:10:50.472+0800: 7396.059: [class unloading, 0.0087389 secs]2018-11-09T14:10:50.481+0800: 7396.068: [scrub symbol table, 0.0055956 secs]2018-11-09T14:10:50.487+0800: 7396.074: [scrub string table, 0.0005615 secs][1 CMS-remark: 25626226K(26204160K)] 39382693K(40762048K), 0.0290641 secs] [Times: user=0.30 sys=0.00, real=0.02 secs]

2018-11-09T14:10:50.488+0800: 7396.075: [CMS-concurrent-sweep-start]

2018-11-09T14:10:50.729+0800: 7396.316: [CMS-concurrent-sweep: 0.241/0.241 secs] [Times: user=0.48 sys=0.00, real=0.24 secs]

2018-11-09T14:10:50.729+0800: 7396.316: [CMS-concurrent-reset-start]

2018-11-09T14:10:50.794+0800: 7396.381: [CMS-concurrent-reset: 0.065/0.065 secs] [Times: user=0.13 sys=0.00, real=0.06 secs]

2018-11-09T14:10:51.734+0800: 7397.321: [GC (Allocation Failure) 2018-11-09T14:10:51.734+0800: 7397.321: [ParNew: 14280769K->14280769K(14557888K), 0.0000297 secs]2018-11-09T14:10:51.734+0800: 7397.321: [CMS: 25626226K->25626226K(26204160K), 8.7144181 secs] 39906995K->39782608K(40762048K), [Metaspace: 37753K->37753K(38912K)], 8.7146944 secs] [Times: user=8.72 sys=0.00, real=8.72 secs]

2018-11-09T14:11:00.449+0800: 7406.036: [Full GC (Allocation Failure) 2018-11-09T14:11:00.449+0800: 7406.036: [CMS: 25626226K->25626196K(26204160K), 6.1291271 secs] 39782608K->39782578K(40762048K), [Metaspace: 37753K->37753K(38912K)], 6.1292957 secs] [Times: user=6.13 sys=0.00, real=6.13 secs]

2018-11-09T14:11:06.579+0800: 7412.166: [GC (CMS Initial Mark) [1 CMS-initial-mark: 25626196K(26204160K)] 39782578K(40762048K), 0.0017634 secs] [Times: user=0.01 sys=0.00, real=0.00 secs]

2018-11-09T14:11:06.581+0800: 7412.168: [CMS-concurrent-mark-start]

2018-11-09T14:11:06.840+0800: 7412.427: [Full GC (Allocation Failure) 2018-11-09T14:11:06.840+0800: 7412.427: [CMS2018-11-09T14:11:07.867+0800: 7413.454: [CMS-concurrent-mark: 1.033/1.286 secs] [Times: user=5.11 sys=0.61, real=1.28 secs]

 (concurrent mode failure): 26150484K->26150474K(26204160K), 7.8489326 secs] 40314100K->39782414K(40762048K), [Metaspace: 37784K->37784K(38912K)], 7.8491778 secs] [Times: user=11.81 sys=0.39, real=7.85 secs]

2018-11-09T14:11:14.690+0800: 7420.277: [Full GC (Allocation Failure) 2018-11-09T14:11:14.690+0800: 7420.277: [CMS: 26150474K->26150474K(26204160K), 1.2736921 secs] 39782414K->39782404K(40762048K), [Metaspace: 37784K->37784K(38912K)], 1.2738487 secs] [Times: user=1.28 sys=0.00, real=1.27 secs]
  • stdout
2018-11-09 14:09:01,703 INFO [pool-6-thread-1] com.tencent.angel.ml.factorizationmachinesWAIC.FMLearnerWAIC: for one batch with 400036 in 67002 ms..

2018-11-09 14:09:01,703 INFO [pool-6-thread-1] com.tencent.angel.ml.factorizationmachinesWAIC.FMLearnerWAIC: for one batch with stepRead is 0 ..

2018-11-09 14:09:05,694 INFO [pool-6-thread-1] com.tencent.angel.ml.factorizationmachinesWAIC.FMLearnerWAIC: dataBlock read finished with 41660237 ..

2018-11-09 14:09:07,408 INFO [pool-6-thread-1] com.tencent.angel.ml.factorizationmachinesWAIC.FMLearnerWAIC: Calculate Delta for update ...

2018-11-09 14:09:11,398 INFO [pool-6-thread-1] com.tencent.angel.ml.factorizationmachinesWAIC.FMLearnerWAIC: Begin to update parameter in PS ...

2018-11-09 14:09:11,406 INFO [pool-6-thread-1] com.tencent.angel.ml.factorizationmachinesWAIC.FMModel: Start to push w0 from PS ...

2018-11-09 14:11:06,588 FATAL [pool-5-thread-1] com.tencent.angel.psagent.matrix.oplog.cache.MatrixOpLogCache: merge OpLogMergeMessage [update=com.tencent.angel.ml.math.vector.DenseDoubleVector@77d861dc, toString()=OpLogMessage [matrixId=1, type=MERGE, context=com.tencent.angel.psagent.task.TaskContext@16aa8654TaskContext [index=0, matrix clocks=(matrixId=0,clock=2)(matrixId=1,clock=1)(matrixId=2,clock=1)], seqId=17]] falied,

java.lang.OutOfMemoryError: Java heap space

	at it.unimi.dsi.fastutil.ints.Int2DoubleOpenHashMap.<init>(Int2DoubleOpenHashMap.java:158)

	at it.unimi.dsi.fastutil.ints.Int2DoubleOpenHashMap.<init>(Int2DoubleOpenHashMap.java:169)

	at com.tencent.angel.ml.math.vector.SparseDoubleVector.resize(SparseDoubleVector.java:495)

	at com.tencent.angel.ml.math.vector.SparseDoubleVector.plusBy(SparseDoubleVector.java:564)

	at com.tencent.angel.ml.math.vector.SparseDoubleVector.plusBy(SparseDoubleVector.java:555)

	at com.tencent.angel.ml.math.vector.SparseDoubleVector.plusBy(SparseDoubleVector.java:35)

	at com.tencent.angel.ml.math.matrix.RowbaseMatrix.plusBy(RowbaseMatrix.java:126)

	at com.tencent.angel.psagent.matrix.oplog.cache.MatrixOpLog.merge(MatrixOpLog.java:160)

	at com.tencent.angel.psagent.matrix.oplog.cache.MatrixOpLogCache$Merger.run(MatrixOpLogCache.java:444)

	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)

	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

	at java.lang.Thread.run(Thread.java:745)

2018-11-09 14:11:15,964 FATAL [pool-5-thread-2] com.tencent.angel.psagent.matrix.oplog.cache.MatrixOpLogCache: merge OpLogMergeMessage [update=com.tencent.angel.ml.math.vector.DenseDoubleVector@316dd3c4, toString()=OpLogMessage [matrixId=1, type=MERGE, context=com.tencent.angel.psagent.task.TaskContext@16aa8654TaskContext [index=0, matrix clocks=(matrixId=0,clock=2)(matrixId=1,clock=1)(matrixId=2,clock=1)], seqId=18]] falied,

java.lang.OutOfMemoryError: Java heap space

	at it.unimi.dsi.fastutil.ints.Int2DoubleOpenHashMap.<init>(Int2DoubleOpenHashMap.java:158)

	at it.unimi.dsi.fastutil.ints.Int2DoubleOpenHashMap.<init>(Int2DoubleOpenHashMap.java:169)

	at com.tencent.angel.ml.math.vector.SparseDoubleVector.resize(SparseDoubleVector.java:495)

	at com.tencent.angel.ml.math.vector.SparseDoubleVector.plusBy(SparseDoubleVector.java:564)

	at com.tencent.angel.ml.math.vector.SparseDoubleVector.plusBy(SparseDoubleVector.java:555)

	at com.tencent.angel.ml.math.vector.SparseDoubleVector.plusBy(SparseDoubleVector.java:35)

	at com.tencent.angel.ml.math.matrix.RowbaseMatrix.plusBy(RowbaseMatrix.java:126)

	at com.tencent.angel.psagent.matrix.oplog.cache.MatrixOpLog.merge(MatrixOpLog.java:160)

	at com.tencent.angel.psagent.matrix.oplog.cache.MatrixOpLogCache$Merger.run(MatrixOpLogCache.java:444)

	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)

	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

	at java.lang.Thread.run(Thread.java:745)

2018-11-09 14:11:15,969 INFO [pool-5-thread-1] com.tencent.angel.psagent.PSAgent: psagent falied

2018-11-09 14:11:15,985 INFO [pool-5-thread-1] com.tencent.angel.worker.Worker: worker failed message : merge OpLogMergeMessage [update=com.tencent.angel.ml.math.vector.DenseDoubleVector@77d861dc, toString()=OpLogMessage [matrixId=1, type=MERGE, context=com.tencent.angel.psagent.task.TaskContext@16aa8654TaskContext [index=0, matrix clocks=(matrixId=0,clock=2)(matrixId=1,clock=1)(matrixId=2,clock=1)], seqId=17]] falied, Java heap space, send it to appmaster success

2018-11-09 14:11:15,985 INFO [pool-5-thread-1] com.tencent.angel.worker.Worker: start to close all modules in worker

2018-11-09 14:11:15,985 INFO [pool-5-thread-1] com.tencent.angel.worker.Worker: stop workerService

2018-11-09 14:11:15,985 INFO [pool-5-thread-1] com.tencent.angel.worker.WorkerService: stop rpc server

2018-11-09 14:11:15,985 INFO [pool-5-thread-1] com.tencent.angel.ipc.NettyServer: Stopping server on 20586

2018-11-09 14:11:15,985 ERROR [Worker Heartbeat] com.tencent.angel.worker.Worker: report to appmaster failed, err:

java.lang.NullPointerException

	at com.tencent.angel.worker.Worker.heartbeat(Worker.java:341)

	at com.tencent.angel.worker.Worker.access$200(Worker.java:65)

	at com.tencent.angel.worker.Worker$1.run(Worker.java:303)

	at java.lang.Thread.run(Thread.java:745)

OpLogMergeMessage-OutOfMemoryError-JavaHeapSpace的更多相关文章

  1. OutOfMemoryError系列（1）: Java heap space

    每个Java程序都只能使用一定量的内存, 这种限制是由JVM的启动参数决定的.而更复杂的情况在于, Java程序的内存分为两部分: 堆内存(Heap space)和 永久代(Permanent Gen ...

  2. Java常见的几种内存溢出及解决方法

    Java常见的几种内存溢出及解决方法[情况一]:java.lang.OutOfMemoryError:Javaheapspace:这种是java堆内存不够,一个原因是真不够(如递归的层数太多等),另一 ...

  3. 【转】JVM 堆内存设置原理

    堆内存设置 原理 JVM堆内存分为2块:Permanent Space 和 Heap Space. Permanent 即 持久代(Permanent Generation),主要存放的是Java类定 ...

  4. tomcat 启动时参数设置说明

    使用Intellij idea 其发动tomcat时会配置启动vm options :-Xms128m -Xmx768m -XX:PermSize=64M -XX:MaxPermSize=512m. ...

  5. 巧解Tomcat中JVM内存溢出问题

    你对Tomcat 的JVM内存溢出问题的解决方法是否了解,这里和大家分享一下,相信本文介绍一定会让你有所收获. tomcat 的JVM内存溢出问题的解决 最近在熟悉一个开发了有几年的项目,需要把数据库 ...

  6. JVM（Java虚拟机）优化大全和案例实战

    堆内存设置 原理 JVM堆内存分为2块:Permanent Space 和 Heap Space. Permanent 即 持久代(Permanent Generation),主要存放的是Java类定 ...

  7. Tomcat性能优化及JVM内存工作原理

    Java性能优化原则:代码运算性能.内存回收.应用配置(影响Java程序主要原因是垃圾回收,下面会重点介绍这方面) 代码层优化:避免过多循环嵌套.调用和复杂逻辑. Tomcat调优主要内容如下: 1. ...

  8. 关于JVM的垃圾回收(GC) 这可能是你想了解的

    目录 1 JVM中Java对象的分类 2 JVM的GC类型及触发条件 2.1 Young GC 2.2 Full GC 3 Java对象生成时的内存申请过程 3 Oracle JDK中的垃圾收集器 3 ...

  9. Permanent Space 和 Heap Space

      JVM堆内存 JVM堆内存分为2块:Permanent Space 和 Heap Space. Permanent 即 持久代(Permanent Generation),主要存放的是Java类定 ...

  10. Java------------JVM（Java虚拟机）优化大全和案例实战

    JVM(Java虚拟机)优化大全和案例实战 堆内存设置 原理 JVM堆内存分为2块:Permanent Space 和 Heap Space. Permanent 即 持久代(Permanent Ge ...

随机推荐

  1. Regularity criteria for NSE 5: $u_3,\om_3$

    In [Zhang, Zujin. Serrin-type regularity criterion for the Navier-Stokes equations involving one vel ...

  2. [物理学与PDEs]第3章第1节 等离子体

    1.  磁流体力学研究等离子体这种导电流体在电磁场中的运动. 2.  任何物质由于 $T, p$ 等条件的不同而可以处于固态.液态.气态 (常见的三种聚集态) 或等离子体. 3.  等离子体就是电离气 ...

  3. FM（工程实现）

    摘自: https://www.cnblogs.com/AndyJee/p/8032553.html 一.FM模型函数 二.FM对参数求导结果 三.算法实现 主要超参数有:初始化参数.学习率.正则化稀 ...

  4. sessionStorage：写入记事本功能[内容写入sessionStorage中，读取，删除]

    知识点: 1.设置sessionStorage----setItem:sessionStorage.setItem(key,data); 存储数据使用key是唯一,不可重复,每触发都生成:如用一个固定 ...

  5. bat执行python脚本，执行多条命令

    1.新建一个txt文档,输入以下命令 @echo offcmd /k python F:\Pycharm_Projection\Test\test2.py 2.将txt文档保存为.bat格式,然后双击 ...

  6. CMake set 语法

    参考CMake官方文档:https://cmake.org/cmake/help/v3.14/command/set.html 1. 普通变量 set(<variable> <val ...

  7. Codeforces 877E - Danil and a Part-time Job 线段树+dfs序

    给一个有根树,1e5个节点,每个节点有权值0/.1,1e5操作:1.将一个点的子树上所有点权值取反2.查询一个点的子树的权值和   题解: 先深搜整颗树,用dfs序建立每个点对应的区间,等于把树拍扁成 ...

  8. RequireJS - 个人小入门

    quirejs : http://www.requirejs.cn/ 叶小钗  : http://www.cnblogs.com/yexiaochai/p/3214926.html app.js 展示 ...

  9. Python-爬虫-requests

    简介 #介绍:使用requests可以模拟浏览器的请求,比起之前用到的urllib,requests模块的api更加便捷(本质就是封装了urllib3) #注意:requests库发送请求将网页内容下 ...

  10. for/while循环运用（do while）

    //for循环用于知道次数的循环,while用于不知道的次数的循环//第1种写法 while循环 import java.util.Scanner;//插入util工具包 public class H ...