联系：手机/微信(+86 17813235971) QQ(107644445)标题：ORA-600 2131故障处理作者：惜分飞©版权所有[未经本人同意,不得以任何形式转载,否则有进一步追究法律责任的权利.]数据库启动报ORA-600 2131错误,查看alert日志发现是在mount过程报错Fri May 17 20:58:28 2024 Starting ORACLE instance (normal) LICENSE_MAX_SESSION = 0 LICENSE_SESSIONS_WARNING = 0 Initial number of CPU is 16 Number of processor cores in the system is 8 Number of processor sockets in the system is 1 Picked latch-free SCN scheme 3 Autotune of undo retention is turned on. IMODE=BR ILAT =249 LICENSE_MAX_USERS = 0 SYS auditing is disabled Starting up: Oracle Database 11g Enterprise Edition Release 11.2.0.4.0 - 64bit P ...继续阅读 (72)

联系：手机/微信(+86 17813235971) QQ(107644445)标题：ORA-600 2131故障处理作者：惜分飞©版权所有[未经本人同意,不得以任何形式转载,否则有进一步追究法律责任的权利.]数据库启动报ORA-600 2131错误,查看alert日志发现是在mount过程报错Fri May 17 20:58:28 2024 Starting ORACLE instance (normal) LICENSE_MAX_SESSION = 0 LICENSE_SESSIONS_WARNING = 0 Initial number of CPU is 16 Number of processor cores in the system is 8 Number of processor sockets in the system is 1 Picked latch-free SCN scheme 3 Autotune of undo retention is turned on. IMODE=BR ILAT =249 LICENSE_MAX_USERS = 0 SYS auditing is disabled Starting up: Oracle Database 11g Enterprise Edition Release 11.2.0.4.0 - 64bit P ...继续阅读 (64)

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基础日志处理 链接到标题 在 Kubernetes（简称 k8s）中，所有应用在 Pod（k8s 管理容器最小单位）中运行，标准处理方式为将日志打印到标准日志输出和标准错误输出，这样我们可以通过 kuberctl logs 关键字获取容器运行时日志，根据容器运行时的类型不同，日志保存路径也不同，以 Docker 为例，所有真实日志均在 /var/lib/docker/ 路径下，下面我们来看一个例子： 在 k8s 中创建一个 Pod，Pod 中指定打印当前时间到标准输出中： apiVersion: v1 kind: Pod metadata: name: counter spec: containers: - name: count image: busybox args: [/bin/sh, -c, 'i=0; while true; do echo "$i: $(date)"; i=$((i+1)); sleep 1; done'] 运行该 Pod，通过 kubectl logs 获取当前 Pod 日志： [root@node1 blog]# kubectl get pod |grep counter counter 1/1 Running 0 9s [root@node1 blog]# kubectl logs counter 0: Fri May 17 00:34:01 UT ...继续阅读 (23)

Neural and Evolutionary ComputingLimited-Memory Matrix Adaptation for Large Scale Black-box OptimizationIlya Loshchilov,Tobias Glasmachers,Hans-Georg BeyerSubjects:Neural and Evolutionary Computing (cs.NE); Learning (cs.LG); Optimization and Control (math.OC)The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a popularmethod to deal with nonconvex and/or stochastic optimization problems when thegradient information is not available. Being based on the CMA-ES, the recentlyproposed Matrix Adaptation Evolution Strategy (MA-ES) provides a rathersurprising result that the covariance mat ...继续阅读 (33)

Neural and Evolutionary ComputingA New Type of Neurons for Machine LearningFenglei Fan,Wenxiang Cong,Ge WangComments: 5 pages, 8 figures, 11 referencesSubjects:Neural and Evolutionary Computing (cs.NE); Learning (cs.LG)In machine learning, the use of an artificial neural network is themainstream approach. Such a network consists of layers of neurons. Theseneurons are of the same type characterized by the two features: (1) an innerproduct of an input vector and a matching weighting vector of trainableparameters and (2) a nonlinear excitation function. Here we investigate thepossibility of repla ...继续阅读 (35)

Neural and Evolutionary ComputingGenetic Algorithm Based Floor Planning SystemHamide Ozlem Dalgic,Erkan Bostanci,Mehmet Serdar GuzelSubjects:Neural and Evolutionary Computing (cs.NE)Genetic Algorithms are widely used in many different optimization problemsincluding layout design. The layout of the shelves play an important role inthe total sales metrics for superstores since this affects the customers’shopping behaviour. This paper employed a genetic algorithm based approach todesign shelf layout of superstores. The layout design problem was tackled byusing a novel chromosome representat ...继续阅读 (30)

Neural and Evolutionary ComputingA Search for Improved Performance in Regular ExpressionsBrendan Cody-Kenny,Michael Fenton,Adrian Ronayne,Eoghan Considine,Thomas McGuire,Michael O'NeillComments: Submitted to the Search-Based Software Engineering (SBSE) track at the Genetic and Evolutionary Computation Conference (GECCO) 2017Subjects:Neural and Evolutionary Computing (cs.NE)The primary aim of automated performance improvement is to reduce the runningtime of programs while maintaining (or improving on) functionality. In thispaper, Genetic Programming is used to find performance improvements ...继续阅读 (32)

Neural and Evolutionary ComputingTackling Dynamic Vehicle Routing Problem with Time Windows by means of Ant Colony SystemRaluca Necula(1),Mihaela Breaban(1),Madalina Raschip(1) ((1) Faculty of Computer Science, Alexandru Ioan Cuza University, Iasi, Romania)Comments: 10 pages, 2 figuresSubjects:Neural and Evolutionary Computing (cs.NE); Artificial Intelligence (cs.AI)The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is anextension of the well-known Vehicle Routing Problem (VRP), which takes intoaccount the dynamic nature of the problem. This aspect requires the vehicleroutes to be ...继续阅读 (25)

Neural and Evolutionary ComputingApplication of a Shallow Neural Network to Short-Term Stock TradingAbhinav Madahar,Yuze Ma,Kunal PatelComments: 4 pagesSubjects:Neural and Evolutionary Computing (cs.NE)Machine learning is increasingly prevalent in stock market trading. Thoughneural networks have seen success in computer vision and natural languageprocessing, they have not been as useful in stock market trading. Todemonstrate the applicability of a neural network in stock trading, we made asingle-layer neural network that recommends buying or selling shares of a stockby comparing the highest hi ...继续阅读 (21)

Neural and Evolutionary ComputingClassification-based RNN machine translation using GRUsRi Wang,Maysum Panju,Mahmood GohariComments: 7 pages, 1 figure; graduate course research projectSubjects:Neural and Evolutionary Computing (cs.NE); Learning (cs.LG)We report the results of our classification-based machine translation model,built upon the framework of a recurrent neural network using gated recurrentunits. Unlike other RNN models that attempt to maximize the overall conditionallog probability of sentences against sentences, our model focuses aclassification approach of estimating the conditio ...继续阅读 (21)

Neural and Evolutionary ComputingLarge Scale Evolution of Convolutional Neural Networks Using Volunteer ComputingTravis DesellComments: 17 pages, 13 figures. Submitted to the 2017 Genetic and Evolutionary Computation Conference (GECCO 2017)Subjects:Neural and Evolutionary Computing (cs.NE)This work presents a new algorithm called evolutionary exploration ofaugmenting convolutional topologies (EXACT), which is capable of evolving thestructure of convolutional neural networks (CNNs). EXACT is in part modeledafter the neuroevolution of augmenting topologies (NEAT) algorithm, withnotable exceptio ...继续阅读 (26)

1. 我爱机器学习(2)Machine Learning Daily: 2017-03-17arXiv Paper Daily: Fri, 17 Mar 2017 ...继续阅读 (13)

Neural and Evolutionary ComputingFast Genetic AlgorithmsBenjamin Doerr,Huu Phuoc Le,Régis Makhmara,Ta Duy NguyenSubjects:Neural and Evolutionary Computing (cs.NE)For genetic algorithms using a bit-string representation of length~(n), thegeneral recommendation is to take (1/n) as mutation rate. In this work, wediscuss whether this is really justified for multimodal functions. Taking jumpfunctions and the ((1+1)) evolutionary algorithm as the simplest example, weobserve that larger mutation rates give significantly better runtimes. For the(jump_{m,n}) function, any mutation rate between (2/ ...继续阅读 (29)

Neural and Evolutionary ComputingEvolving Deep Neural NetworksRisto Miikkulainen,Jason Liang,Elliot Meyerson,Aditya Rawal,Dan Fink,Olivier Francon,Bala Raju,Arshak Navruzyan,Nigel Duffy,Babak HodjatSubjects:Neural and Evolutionary Computing (cs.NE); Artificial Intelligence (cs.AI)The success of deep learning depends on finding an architecture to fit thetask. As deep learning has scaled up to more challenging tasks, thearchitectures have become difficult to design by hand. This paper proposes anautomated method, CoDeepNEAT, for optimizing deep learning architecturesthrough evolution. By extendi ...继续阅读 (32)

Neural and Evolutionary ComputingBidirectional Backpropagation: Towards Biologically Plausible Error Signal Transmission in Neural NetworksHongyin Luo,Jie Fu,James GlassSubjects:Neural and Evolutionary Computing (cs.NE); Learning (cs.LG)The back-propagation (BP) algorithm has been considered the de facto methodfor training deep neural networks. It back-propagates errors from the outputlayer to the hidden layers in an exact manner using feedforward weights. Inthis work, we propose a more biologically plausible paradigm of neuralarchitecture according to biological findings. Specifically, we pr ...继续阅读 (24)

Neural and Evolutionary ComputingUnbiased Online Recurrent OptimizationCorentin Tallec,Yann OllivierComments: 11 pages, 5 figuresSubjects:Neural and Evolutionary Computing (cs.NE); Learning (cs.LG)The novel Unbiased Online Recurrent Optimization (UORO) algorithm allows foronline learning of general recurrent computational graphs such as recurrentnetwork models. It works in a streaming fashion and avoids backtracking throughpast activations and inputs. UORO is a modification of NoBackTrack thatbypasses the need for model sparsity and makes implementation easy in currentdeep learning frameworks, ...继续阅读 (26)

今天一个客户的存储系统出现故障导致Oracle RAC 11G 11.2.0.3.0异常退出。存储回复后，启动数据库（startup）的时候报错，如题所示。具体的细节如下：[vcdgrid@vcenter-server ~]$ env | grep SID ORACLE_SID=+ASM1 [vcdgrid@vcenter-server ~]$ asmcmd ASMCMD> lsdg State Type Rebal Sector Block AU Total_MB Free_MB Req_mir_free_MB Usable_file_MB Offline_disks Voting_files Name MOUNTED EXTERN N 512 4096 1048576 307200 246921 0 246921 0 N DATA/ MOUNTED NORMAL N 512 4096 1048576 122880 15110 0 7555 0 N LOG/ MOU ...继续阅读 (29)

Neural and Evolutionary ComputingEnergy Saving Additive Neural NetworkArman Afrasiyabi,Ozan Yildiz,Baris Nasir,Fatos T. Yarman Vural,A. Enis CetinComments: 8 pages (double column), 2 figures, 1 tableSubjects:Neural and Evolutionary Computing (cs.NE); Artificial Intelligence (cs.AI); Learning (cs.LG)In recent years, machine learning techniques based on neural networks formobile computing become increasingly popular. Classical multi-layer neuralnetworks require matrix multiplications at each stage. Multiplication operationis not an energy efficient operation and consequently it drains the batter ...继续阅读 (26)

Neural and Evolutionary ComputingDominance Move: A Measure of Comparing Solution Sets in Multiobjective OptimizationMiqing Li,Xin YaoComments: 23 pages, 10 figuresSubjects:Neural and Evolutionary Computing (cs.NE); Optimization and Control (math.OC)One of the most common approaches for multiobjective optimization is togenerate a solution set that well approximates the whole Pareto-optimalfrontier to facilitate the later decision-making process. However, how toevaluate and compare the quality of different solution sets remainschallenging. Existing measures typically require additional problem ...继续阅读 (11)

Computer Vision and Pattern RecognitionPose Invariant Embedding for Deep Person Re-identificationLiang Zheng,Yujia Huang,Huchuan Lu,Yi YangSubjects:Computer Vision and Pattern Recognition (cs.CV)Pedestrian misalignment, which mainly arises from detector errors and posevariations, is a critical problem for a robust person re-identification (re-ID)system. With bad alignment, the background noise will significantly compromisethe feature learning and matching process. To address this problem, this paperintroduces the pose invariant embedding (PIE) as a pedestrian descriptor.First, in order to alig ...继续阅读 (23)

Neural and Evolutionary ComputingDeep Neural Networks – A Brief HistoryKrzysztof J. CiosComments: 14 pages, 14 figuresSubjects:Neural and Evolutionary Computing (cs.NE); Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)Introduction to deep neural networks and their history.Optimized Spatial Partitioning via Minimal Swarm IntelligenceCasey Kneale,Dominic Poerio,Karl S. BookshComments: To be submitted to the Journal of TechnometricsSubjects:Methodology (stat.ME); Neural and Evolutionary Computing (cs.NE)Optimized spatial partitioning algorithms are the corner stone of manys ...继续阅读 (19)

1. 我爱机器学习(1)arXiv Paper Daily: Fri, 20 Jan 20172. 深度学习世界(2)KDnuggets 本月最受欢迎：5 个不容错过的机器学习项目深度 | 不要只看论文，缺乏工程实践才是深度学习研究的瓶颈 ...继续阅读 (19)

在我的环境中ClusterControl的地址是：http://192.168.232.150/clustercontrol/需要安装Percona的目标机器为：192.168.232.147（需要开启YUM缓存【/etc/yum.conf】）目标端：查看并清理下环境：[root@mysql1 ~]# ps -ef | grep mysql root 26007 25796 0 22:38 pts/1 00:00:00 grep mysql [root@mysql1 ~]# [root@mysql1 ~]# rpm -qa | grep mysql mysql-libs-5.1.73-7.el6.x86_64 [root@mysql1 ~]# [root@mysql1 ~]# yum remove mysql-libs-5.1.73-7.el6.x86_64 Loaded plugins: fastestmirror, refresh-packagekit, security Setting up Remove Process Resolving Dependencies --> Running transaction check ---> Package mysql-libs.x86_64 0:5.1.73-7.el6 will be erased --> ...继续阅读 (317)

文章目录总结 Python 中的枚举类型枚举类型可以看作是一种标签或是一系列常量的集合，通常用于表示某些特定的有限集合，例如星期、月份、状态等。Python 的原生类型（Built-in types）里并没有专门的枚举类型，但是我们可以通过很多方法来实现它，例如字典、类等：WEEKDAY = { 'MON': 1, 'TUS': 2, 'WEN': 3, 'THU': 4, 'FRI': 5 } class Color: RED = 0 GREEN = 1 BLUE = 2上面两种方法可以看做是简单的枚举类型的实现，如果只在局部范围内用到了这样的枚举变量是没有问题的，但问题在于它们都是可变的（mutable），也就是说可以在其它地方被修改从而影响其正常使用：WEEKDAY['MON'] = WEEKDAY['FRI'] print(WEEKDAY){'FRI': 5, 'TUS': 2, 'MON': 5, 'WEN': 3, 'THU': 4}通过类定义的枚举甚至可以实例化，变得不伦不类：c = Color() print(c.RED) Color.RED = 2 print(c.RED)当然也可以使用不可变类型（immutable），例如元组，但是这样就失去了枚举类型的本意，将标签退化为无意义的变量 ...继续阅读 (48)

今天，在启动数据库的时候，遇到了如下所示的这个问题：[oracle11g@em12cdb ~]$ sqlplus / as sysdba SQL*Plus: Release 11.2.0.4.0 Production on Fri Aug 7 01:16:33 2015 Copyright (c) 1982, 2013, Oracle. All rights reserved. Connected to an idle instance. SQL> startup mount; ORACLE instance started. Total System Global Area 2204696576 bytes Fixed Size 2255112 bytes Variable Size 671090424 bytes Database Buffers 1526726656 bytes Redo Buffers 4624384 bytes Database mounted. SQL> alter database open; alter database open * ERROR at line 1: ORA-03113: end-of-file on communication channel Process ID: 3226 Session ...继续阅读 (113)

本站文章除注明转载外，均为本站原创：转载自love wife & love life —Roger 的Oracle技术博客本文链接地址:11.2.0.4 ASM RAC 恢复一个例子这是一个朋友的客户的数据库，数据库出故障之后，无法顺利打开，如下是数据库在open的时候所报的错误:ORA-279 signalled during: ALTER DATABASE RECOVER database using backup controlfile until cancel ... ALTER DATABASE RECOVER CONTINUE DEFAULT Media Recovery Log /space/sys_software/oracle/app/product/11.2.0/db_1/dbs/arch1_1_885005686.dbf Errors with log /space/sys_software/oracle/app/product/11.2.0/db_1/dbs/arch1_1_885005686.dbf Errors in file /space/sys_software/oracle/app/diag/rdbms/bexasmdb/bexasmdb1/trace/bexasmdb1_pr00_43377.trc: ORA-00308: cannot ...继续阅读 (88)

MHA部署及配置是否OK，我们可以借助于MHA自带的masterha_check_ssh以及masterha_check_repl脚本来检测。masterha_check_repl检测是保证MHA成功切换的重要一步。本文主要描述了masterha_check_repl这个检测脚本到底做了些什么事情。有助于更好的理解MHA的相关原理及过程等。1、当前的主从环境[root@vdbsrv1 ~]# more /etc/hosts127.0.0.1 localhost.localdomain localhost192.168.1.6 vdbsrv1 #master192.168.1.7 vdbsrv2 #slave1192.168.1.8 vdbsrv3 #slave2192.168.1.12 vdbsrv4 #manager###os环境[root@vdbsrv4 ~]# more /etc/issueCentOS release 5.9 (Final)Kernel \r on an \m###mysql环境[root@vdbsrv4 ~]# mysql -e "show variables like 'version'"+---------------+------------+| Variable_name | Value |+------------- ...继续阅读 (29)

最近公司的一款产品提交国内市场，发现有些国内市场提示需要进行应用认领。原因就是别人（或者市场抓取）已经在我们之前将这个应用提交到了该市场。认领成功后，这个应用就重回你的怀抱了，其实认领很简单，这里讲到的自然是对未签名的包进行签名。由于这样的操作细小琐屑，这样更需要记录一下，免得以后麻烦。more如何认领一般的就是市场提供一个未签名的apk包，认领方进行签名后，上传即可认领成功。另一种就是提供公司证明，这个我们不讲，也没什么可以讲。通常情况下认领都会有对一个未签名的apk包签名认证这种方式，因为签名是软件发布商所独有的，通过对比测试需认领的包的签名和刚签过名的apk包是否一致，如果一致就认领成功，否则失败。对未签名包签名1jarsigner -verbose -sigalg SHA1withRSA -digestalg SHA1 -keystore your_keystore -storepass your_storepass -keypass your_keypass -signedjar path_of_signed_apk path_of_unsigned_apk your_alias需要替换的值your_key_store keystore文件路径your_storepass store密码your_keypass key密码path_of_signed_apk ...继续阅读 (29)

一朋友给我电话,说他们客户公司数据库故障,被另外一家公司恢复了一天不能正常恢复,请求我协助解决.接手一看数据库已经被破坏的不像样子了,根据alert日志信息大概分析了故障原因和上家公司处理情况。后面接手后通过bbed修复block数据库恢复过程,在本次恢复中出现大量ORA-600错误,主要包括ORA-00600 400,ORA-00600 2662,ORA-00600 2663,ORA-00600 krhpfh_03-1209,ORA-00600 3600,ORA-00600 ktsitbs_info1,ORA-00600 4137,ORA-00600 4511,ORA-00600 4198,ORA-00600 6807等故障原因redo文件丢失Thu Nov 20 11:28:39 2014 Errors in file /opt/oracle/admin/xifenfei/bdump/xifenfei_lgwr_1404.trc: ORA-00313: open failed for members of log group 7 of thread 1 ORA-00312: online log 9 thread 1: '/data2/oradata/redo0902.log' ORA-27037: unable to obtain file status SVR4 Error ...继续阅读 (108)