linux IPC 消息队列多进程send msg如何保证数据同步？

接收端就一个进程在接收，发送端很多进程同时向消息队列发送msg， 发送端如何保持消息的同步，还是说内核已经做了这个工作，用户侧不需要考虑同步问题？

Uninitialized variable: i

使用代码工具检查的时候发现编译提示逻辑错误变量未初始化：Uninitialized variable: i ``` int i, comNum; TExtComDevice* ptExtComDev; Bool TestDone = TRUE; Int32 retVal; #if defined(_IPC6XX_) || defined(_IPC6X5_GN_) comNum = MAX_SERIAL_NUM; #elif defined(_CHEETAH1_) comNum = 1; #else comNum = 0; #endif for(i=0; i<comNum; i++) { ptExtComDev = &gtExtComDevice[i]; if(100 != ptExtComDev->eProtocolType) { TestDone = FALSE; KOSA_printf("SerialPost %d is not OK!\n", i); break; } } if(i == comNum)/*代码出错一行*/ { /*内部代码省略*/ } ``` 变量i虽然开始只是声明int i,但是后面for()循环结束后i应该已经被赋值，不应该是未初始话状态，希望大家帮忙给个答案

为什么一顿操作，啥也没改变？RMAN还原数据库。

为什么我还原数据库，数据库没有被还原？ 操作如下，请大佬们帮忙解答。 ``` [oracle@dg1 ~]$ rman target / Recovery Manager: Release 19.0.0.0.0 - Production on Mon Dec 23 15:08:56 2019 Version 19.3.0.0.0 Copyright (c) 1982, 2019, Oracle and/or its affiliates. All rights reserved. connected to target database: ORCL (DBID=1554676977) RMAN> shutdown immediate using target database control file instead of recovery catalog database closed database dismounted Oracle instance shut down RMAN> startup mount; connected to target database (not started) Oracle instance started database mounted Total System Global Area 1795159104 bytes Fixed Size 8897600 bytes Variable Size 503316480 bytes Database Buffers 1275068416 bytes Redo Buffers 7876608 bytes RMAN> restore database; Starting restore at 23-DEC-19 allocated channel: ORA_DISK_1 channel ORA_DISK_1: SID=11 device type=DISK channel ORA_DISK_1: starting datafile backup set restore channel ORA_DISK_1: specifying datafile(s) to restore from backup set channel ORA_DISK_1: restoring datafile 00001 to /oracleDB/app/oracle/oradata/ORCL/system01.dbf channel ORA_DISK_1: restoring datafile 00002 to /oracleDB/app/oracle/oradata/ORCL/SNSYSINDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00003 to /oracleDB/app/oracle/oradata/ORCL/sysaux01.dbf channel ORA_DISK_1: restoring datafile 00004 to /oracleDB/app/oracle/oradata/ORCL/undotbs01.dbf channel ORA_DISK_1: restoring datafile 00005 to /oracleDB/app/oracle/oradata/ORCL/SNSYSDATA_TBS.dbf channel ORA_DISK_1: restoring datafile 00007 to /oracleDB/app/oracle/oradata/ORCL/users01.dbf channel ORA_DISK_1: restoring datafile 00008 to /oracleDB/app/oracle/oradata/ORCL/SNOPDATA_TBS.dbf channel ORA_DISK_1: restoring datafile 00009 to /oracleDB/app/oracle/oradata/ORCL/SNOPINDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00010 to /oracleDB/app/oracle/oradata/ORCL/SNMQDATA_TBS.dbf channel ORA_DISK_1: restoring datafile 00011 to /oracleDB/app/oracle/oradata/ORCL/SNMQINDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00012 to /oracleDB/app/oracle/oradata/ORCL/SNMONITORDATA_TBS.dbf channel ORA_DISK_1: restoring datafile 00013 to /oracleDB/app/oracle/oradata/ORCL/SNMONITORINDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00014 to /oracleDB/app/oracle/oradata/ORCL/SNHRDATA_TBS.dbf channel ORA_DISK_1: restoring datafile 00015 to /oracleDB/app/oracle/oradata/ORCL/SNHRINDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00016 to /oracleDB/app/oracle/oradata/ORCL/SNBUDGE_TBS.dbf channel ORA_DISK_1: restoring datafile 00017 to /oracleDB/app/oracle/oradata/ORCL/OPTDATA_TBS.dbf channel ORA_DISK_1: restoring datafile 00018 to /oracleDB/app/oracle/oradata/ORCL/RATIFY_TBS.dbf channel ORA_DISK_1: restoring datafile 00019 to /oracleDB/app/oracle/oradata/ORCL/COMM_TBS.dbf channel ORA_DISK_1: restoring datafile 00020 to /oracleDB/app/oracle/oradata/ORCL/MSG_TBS.dbf channel ORA_DISK_1: restoring datafile 00021 to /oracleDB/app/oracle/oradata/ORCL/PO_TBS.dbf channel ORA_DISK_1: restoring datafile 00022 to /oracleDB/app/oracle/oradata/ORCL/FUND_TBS.dbf channel ORA_DISK_1: restoring datafile 00023 to /oracleDB/app/oracle/oradata/ORCL/OFIN_TBS.dbf channel ORA_DISK_1: restoring datafile 00024 to /oracleDB/app/oracle/oradata/ORCL/TAX_TBS.dbf channel ORA_DISK_1: restoring datafile 00025 to /oracleDB/app/oracle/oradata/ORCL/CARGO_TBS.dbf channel ORA_DISK_1: restoring datafile 00026 to /oracleDB/app/oracle/oradata/ORCL/INV_TBS.dbf channel ORA_DISK_1: restoring datafile 00027 to /oracleDB/app/oracle/oradata/ORCL/CARGO_IDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00028 to /oracleDB/app/oracle/oradata/ORCL/PO_IDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00029 to /oracleDB/app/oracle/oradata/ORCL/FUND_IDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00030 to /oracleDB/app/oracle/oradata/ORCL/COST_IDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00031 to /oracleDB/app/oracle/oradata/ORCL/STOCK_IDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00032 to /oracleDB/app/oracle/oradata/ORCL/FIN_IDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00033 to /oracleDB/app/oracle/oradata/ORCL/FIN_TBS.dbf channel ORA_DISK_1: restoring datafile 00034 to /oracleDB/app/oracle/oradata/ORCL/CFIN_TBS.dbf channel ORA_DISK_1: restoring datafile 00035 to /oracleDB/app/oracle/oradata/ORCL/CFIN_IDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00036 to /oracleDB/app/oracle/oradata/ORCL/COST_TBS.dbf channel ORA_DISK_1: restoring datafile 00037 to /oracleDB/app/oracle/oradata/ORCL/INV_IDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00038 to /oracleDB/app/oracle/oradata/ORCL/STOCK_TBS.dbf channel ORA_DISK_1: restoring datafile 00039 to /oracleDB/app/oracle/oradata/ORCL/MSG_IDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00040 to /oracleDB/app/oracle/oradata/ORCL/SYSDATA_TBS.dbf channel ORA_DISK_1: restoring datafile 00041 to /oracleDB/app/oracle/oradata/ORCL/FINDATA_TBS.dbf channel ORA_DISK_1: restoring datafile 00042 to /oracleDB/app/oracle/oradata/ORCL/OPTINDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00043 to /oracleDB/app/oracle/oradata/ORCL/EDI_TBS.dbf channel ORA_DISK_1: restoring datafile 00044 to /oracleDB/app/oracle/oradata/ORCL/OFIN_IDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00045 to /oracleDB/app/oracle/oradata/ORCL/SYSINDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00046 to /oracleDB/app/oracle/oradata/ORCL/FININDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00047 to /oracleDB/app/oracle/oradata/ORCL/HRDATA_TBS.dbf channel ORA_DISK_1: restoring datafile 00048 to /oracleDB/app/oracle/oradata/ORCL/HRINDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00049 to /oracleDB/app/oracle/oradata/ORCL/AVICERP_IDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00050 to /oracleDB/app/oracle/oradata/ORCL/AVICERP_TBS.dbf channel ORA_DISK_1: restoring datafile 00051 to /oracleDB/app/oracle/oradata/ORCL/AVICWMS_IDX_TBS.dbf channel ORA_DISK_1: restoring datafile 00052 to /oracleDB/app/oracle/oradata/ORCL/AVICWMS_TBS.dbf channel ORA_DISK_1: restoring datafile 00053 to /oracleDB/app/oracle/oradata/ORCL/AVICIDC_TBS.dbf channel ORA_DISK_1: restoring datafile 00054 to /oracleDB/app/oracle/oradata/ORCL/AVICIDC_IDX_TBS.dbf channel ORA_DISK_1: reading from backup piece /oracleDB/app/oracle/fast_recovery_area/ORCL_P/backupset/2019_12_23/o1_mf_nnndf_TAG20191223T092841_h0062bm7_.bkp channel ORA_DISK_1: piece handle=/oracleDB/app/oracle/fast_recovery_area/ORCL_P/backupset/2019_12_23/o1_mf_nnndf_TAG20191223T092841_h0062bm7_.bkp tag=TAG20191223T092841 channel ORA_DISK_1: restored backup piece 1 channel ORA_DISK_1: restore complete, elapsed time: 00:01:26 Finished restore at 23-DEC-19 RMAN> recover database; Starting recover at 23-DEC-19 using channel ORA_DISK_1 starting media recovery media recovery complete, elapsed time: 00:00:03 Finished recover at 23-DEC-19 RMAN> alter database open; Statement processed RMAN> exit Recovery Manager complete. [oracle@dg1 ~]$ lsnrctl status LSNRCTL for Linux: Version 19.0.0.0.0 - Production on 23-DEC-2019 15:13:52 Copyright (c) 1991, 2019, Oracle. All rights reserved. Connecting to (DESCRIPTION=(ADDRESS=(PROTOCOL=TCP)(HOST=dg1)(PORT=1521))) STATUS of the LISTENER ------------------------ Alias LISTENER Version TNSLSNR for Linux: Version 19.0.0.0.0 - Production Start Date 19-DEC-2019 10:45:38 Uptime 4 days 4 hr. 28 min. 14 sec Trace Level off Security ON: Local OS Authentication SNMP OFF Listener Parameter File /oracleDB/app/oracle/product/19.0.0/dbhome_1/network/admin/listener.ora Listener Log File /oracleDB/app/oracle/diag/tnslsnr/dg1/listener/alert/log.xml Listening Endpoints Summary... (DESCRIPTION=(ADDRESS=(PROTOCOL=tcp)(HOST=dg1)(PORT=1521))) (DESCRIPTION=(ADDRESS=(PROTOCOL=ipc)(KEY=EXTPROC1521))) (DESCRIPTION=(ADDRESS=(PROTOCOL=tcps)(HOST=dg1)(PORT=5500))(Security=(my_wallet_directory=/oracleDB/app/oracle/admin/orcl_p/xdb_wallet))(Presentation=HTTP)(Session=RAW)) Services Summary... Service "orcl" has 1 instance(s). Instance "orcl", status UNKNOWN, has 1 handler(s) for this service... Service "orclXDB" has 1 instance(s). Instance "orcl", status READY, has 1 handler(s) for this service... Service "orcl_p" has 1 instance(s). Instance "orcl", status READY, has 1 handler(s) for this service... The command completed successfully [oracle@dg1 ~]$ ```

Onvif协议IPC服务器端开发，在海康NVR上，切换子码流失败。

现象： 我使用的IPC上跑的是自己写的ONVIF服务器，在ONVIF TEST TOOL上可以播放出来我的两路码流，但是在NVR上只可以播放主码流，切换码流时就会提示错误。如图：   我又使用了别的厂家的IPC（ONVIF协议是他们做好的），发现可以正常切换码流。抓了一下包，结果如下图：  可以看到这里是直接用rtsp控制切换了码流地址。 我想知道这个是在ONVIF协议里实现吗？还是应该怎么做？万分感谢啊。

Failed to retrieve data from /webhdfs/v1?op=LISTSTATUS: Server Error

请教各位大神： 通过CENTOS 7自带的FIREFOX去查看HDFS，DataNode及NameNode都已经正常显示，但是查阅Utilties中的Browse Directory，产生如下错误：  还请大神指示一下，应该从哪些配置文件着手去查看故障？谢谢！ 相关LOG： 2019-11-30 23:24:17,964 INFO org.apache.hadoop.util.JvmPauseMonitor: Detected pause in JVM or host machine (eg GC): pause of approximately 1778ms No GCs detected 2019-11-30 23:25:41,727 INFO org.apache.hadoop.ipc.Server: IPC Server handler 1 on default port 9820, call Call#2 Retry#0 org.apache.hadoop.hdfs.protocol.ClientProtocol.mkdirs from 192.168.100.125:57842: org.apache.hadoop.fs.ParentNotDirectoryException: /test (is not a directory) 搞定了： JAVA JDK 13.0.1改成JAVA JDK 8就解决了问题，晕倒~整了一周居然是这个问题~~~~

有没大神能提供一下gb28181基于pjsip设备侧的demo？

包含gb28181 2016版信令交互（报文收发解析等）；最好是IPC上可以直接运行的demo，能够对接SPVMN平台；感谢！

shutdown关闭读这一半后为什么还能收到对端的数据。

之前看unix网络编程，shutdown函数读半关闭会丢弃数据的，但是我写了个测试程序，在同一个主机上运行，关闭读这一半后还是可以读到数据，这是为什么？ client ``` #include <stdio.h> #include <sys/socket.h> #include <errno.h> #include <string.h> #include <sys/types.h> #include <netinet/in.h> int main(int argc,char ** argv) { int fd; struct sockaddr_in addr; int ret; int i; char buf[256] = {0}; fd = socket(AF_INET,SOCK_STREAM,0); if(fd < 0){ fprintf(stderr,"socket error\n"); return -1; } addr.sin_family = AF_INET; addr.sin_port = htons(8888); addr.sin_addr.s_addr = inet_addr("127.0.0.1"); ret = connect(fd,(struct sockaddr*)&addr,sizeof(addr)); if(ret < 0){ fprintf(stderr,"connect error:%s\n",strerror(errno)); close(fd); return -1; } i = 0; while(1){ #if 1 if(i == 5){ printf("shutdown read\n"); shutdown(fd,SHUT_RD); } #endif if(i == 10){ printf("client break\n"); shutdown(fd,SHUT_WR); break; } write(fd,"1234567890",10); i++; memset(buf,0,sizeof(buf)); if((ret = read(fd,buf,sizeof(buf))) >0){ printf("ret=%d,buf:%s\n",ret,buf); } sleep(1); } sleep(2); close(fd); return 0; } ``` server ``` void recive_data(void *p) { int fd = *((int *)p); char buf[256] = {0}; char out_data[256] = {0}; int status = 0; int ret; int i = 0; while(1){ memset(buf,0,sizeof(buf)); if((ret = read(fd,buf,sizeof(buf)))>0){ printf("server buf:%s\n"); } else{ printf("ret=%d,recv fin\n",ret); break; } i++; sprintf(out_data,"the %d tims,0987654321\n",i); ret = write(fd,out_data,strlen(out_data)); if(ret > 0){ printf("server write %d bytes data to client\n",ret); } } close(fd); //pthread_exit((void *)&status); return 0; } int main(int argc,char **argv) { int socketfd = -1; struct sockaddr_in addr; struct sockaddr addr_client; int addr_len; int ret; int listenfd = -1; fd_set rdset; pthread_t tid; int status; socketfd = socket(AF_INET,SOCK_STREAM,0); if(socketfd < 0){ fprintf(stderr,"socket error:%s \n",strerror(errno)); return -1; } addr.sin_family = AF_INET; addr.sin_port = htons(8888); addr.sin_addr.s_addr = htonl(INADDR_ANY); ret =bind(socketfd,(struct sockaddr*)&addr,sizeof(addr)); if(ret < 0){ fprintf(stderr,"bind error:%s\n",strerror(errno)); return -1; } listen(socketfd,0); while(1){ listenfd = accept(socketfd,&addr_client,&addr_len); if(listenfd < 0){ fprintf(stderr,"accept error:%s\n",strerror(errno)); return -1; } printf("listenfd=%d\n",listenfd); if(pthread_create(&tid,NULL,recive_data,(void *)&listenfd)<0){ fprintf(stderr,"pthread_create error:%s\n",strerror(errno)); return -1; } //pthread_join(tid,&status); } close(socketfd); } ``` 运行结果如下 shishaowei@T330A:~/test/IPC/socket/tcp$ ./tcp_server & [1] 8567 shishaowei@T330A:~/test/IPC/socket/tcp$ ./tcp_client listenfd=4 server buf:1234567890 server write 22 bytes data to client ret=22,buf:the 1 tims,0987654321 server buf:1234567890 server write 22 bytes data to client ret=22,buf:the 2 tims,0987654321 server buf:1234567890 server write 22 bytes data to client ret=22,buf:the 3 tims,0987654321 server buf:1234567890 server write 22 bytes data to client ret=22,buf:the 4 tims,0987654321 server buf:1234567890 server write 22 bytes data to client ret=22,buf:the 5 tims,0987654321 shutdown read server buf:1234567890 server write 22 bytes data to client ret=22,buf:the 6 tims,0987654321 server buf:1234567890 server write 22 bytes data to client ret=22,buf:the 7 tims,0987654321 server buf:1234567890 server write 22 bytes data to client ret=22,buf:the 8 tims,0987654321 server buf:1234567890 server write 22 bytes data to client ret=22,buf:the 9 tims,0987654321 server buf:1234567890 server write 23 bytes data to client client break ret=0,recv fin

ipc 网络摄像机领域

我想学习一些有关做网络摄像机的技术或者有什么这方面的证书？ 感觉自己一个人在东学一点西学一点。有哪位好心人士能帮帮忙吗？ 给一些指导性的意见，谢谢。。。

hive运行insert语句在on yarn的情况下报错，开启本地模式后就好了，报错如下：

``` hive> insert into test values('B',2); Query ID = root_20191114105642_8cc05952-0497-4eff-893e-af6de8f05c6e Total jobs = 3 Launching Job 1 out of 3 Number of reduce tasks is set to 0 since there's no reduce operator 19/11/14 10:56:43 INFO client.RMProxy: Connecting to ResourceManager at cloudera/37.64.0.71:8032 19/11/14 10:56:43 INFO client.RMProxy: Connecting to ResourceManager at cloudera/37.64.0.71:8032 java.io.IOException: org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request! Cannot allocate containers as requested resource is greater than maximum allowed allocation. Requested resource type=[memory-mb], Requested resource=<memory:15360, vCores:8>, maximum allowed allocation=<memory:6557, vCores:8>, please note that maximum allowed allocation is calculated by scheduler based on maximum resource of registered NodeManagers, which might be less than configured maximum allocation=<memory:6557, vCores:8> at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.throwInvalidResourceException(SchedulerUtils.java:478) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.checkResourceRequestAgainstAvailableResource(SchedulerUtils.java:374) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:302) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:280) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:522) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:377) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:318) at org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:633) at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:267) at org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:531) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:523) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:991) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:869) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:815) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1875) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2675) at org.apache.hadoop.mapred.YARNRunner.submitJob(YARNRunner.java:345) at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:251) at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1570) at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1567) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1875) at org.apache.hadoop.mapreduce.Job.submit(Job.java:1567) at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:576) at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:571) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1875) at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:571) at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:562) at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:444) at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:151) at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:199) at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:97) at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:2200) at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1843) at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1563) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1339) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1328) at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:239) at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:187) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:409) at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:836) at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:772) at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:699) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.util.RunJar.run(RunJar.java:313) at org.apache.hadoop.util.RunJar.main(RunJar.java:227) Caused by: org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request! Cannot allocate containers as requested resource is greater than maximum allowed allocation. Requested resource type=[memory-mb], Requested resource=<memory:15360, vCores:8>, maximum allowed allocation=<memory:6557, vCores:8>, please note that maximum allowed allocation is calculated by scheduler based on maximum resource of registered NodeManagers, which might be less than configured maximum allocation=<memory:6557, vCores:8> at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.throwInvalidResourceException(SchedulerUtils.java:478) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.checkResourceRequestAgainstAvailableResource(SchedulerUtils.java:374) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:302) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:280) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:522) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:377) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:318) at org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:633) at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:267) at org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:531) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:523) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:991) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:869) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:815) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1875) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2675) at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:423) at org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53) at org.apache.hadoop.yarn.ipc.RPCUtil.instantiateYarnException(RPCUtil.java:75) at org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:116) at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationClientProtocolPBClientImpl.submitApplication(ApplicationClientProtocolPBClientImpl.java:284) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422) at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165) at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157) at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:359) at com.sun.proxy.$Proxy43.submitApplication(Unknown Source) at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.submitApplication(YarnClientImpl.java:290) at org.apache.hadoop.mapred.ResourceMgrDelegate.submitApplication(ResourceMgrDelegate.java:297) at org.apache.hadoop.mapred.YARNRunner.submitJob(YARNRunner.java:330) ... 35 more Caused by: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException): Invalid resource request! Cannot allocate containers as requested resource is greater than maximum allowed allocation. Requested resource type=[memory-mb], Requested resource=<memory:15360, vCores:8>, maximum allowed allocation=<memory:6557, vCores:8>, please note that maximum allowed allocation is calculated by scheduler based on maximum resource of registered NodeManagers, which might be less than configured maximum allocation=<memory:6557, vCores:8> at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.throwInvalidResourceException(SchedulerUtils.java:478) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.checkResourceRequestAgainstAvailableResource(SchedulerUtils.java:374) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:302) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:280) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:522) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:377) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:318) at org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:633) at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:267) at org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:531) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:523) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:991) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:869) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:815) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1875) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2675) at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1499) at org.apache.hadoop.ipc.Client.call(Client.java:1445) at org.apache.hadoop.ipc.Client.call(Client.java:1355) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:228) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:116) at com.sun.proxy.$Proxy42.submitApplication(Unknown Source) at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationClientProtocolPBClientImpl.submitApplication(ApplicationClientProtocolPBClientImpl.java:281) ... 48 more Job Submission failed with exception 'java.io.IOException(org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request! Cannot allocate containers as requested resource is greater than maximum allowed allocation. Requested resource type=[memory-mb], Requested resource=<memory:15360, vCores:8>, maximum allowed allocation=<memory:6557, vCores:8>, please note that maximum allowed allocation is calculated by scheduler based on maximum resource of registered NodeManagers, which might be less than configured maximum allocation=<memory:6557, vCores:8> at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.throwInvalidResourceException(SchedulerUtils.java:478) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.checkResourceRequestAgainstAvailableResource(SchedulerUtils.java:374) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:302) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:280) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:522) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:377) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:318) at org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:633) at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:267) at org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:531) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:523) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:991) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:869) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:815) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1875) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2675) )' FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask. org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request! Cannot allocate containers as requested resource is greater than maximum allowed allocation. Requested resource type=[memory-mb], Requested resource=<memory:15360, vCores:8>, maximum allowed allocation=<memory:6557, vCores:8>, please note that maximum allowed allocation is calculated by scheduler based on maximum resource of registered NodeManagers, which might be less than configured maximum allocation=<memory:6557, vCores:8> at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.throwInvalidResourceException(SchedulerUtils.java:478) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.checkResourceRequestAgainstAvailableResource(SchedulerUtils.java:374) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:302) at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.normalizeAndValidateRequest(SchedulerUtils.java:280) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:522) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:377) at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.submitApplication(RMAppManager.java:318) at org.apache.hadoop.yarn.server.resourcemanager.ClientRMService.submitApplication(ClientRMService.java:633) at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationClientProtocolPBServiceImpl.submitApplication(ApplicationClientProtocolPBServiceImpl.java:267) at org.apache.hadoop.yarn.proto.ApplicationClientProtocol$ApplicationClientProtocolService$2.callBlockingMethod(ApplicationClientProtocol.java:531) at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:523) at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:991) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:869) at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:815) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1875) at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2675) ``` # 内存最大只有6G，他非要申请15G，这个问题该如何处理， # 求助各位大佬！！！

hadoop集群添加kerberos认证后namenode启动报ipc认证失败?

问题描述： namenode连接journalnode报错，zkfc连接namenode也报错，都是同样的错。 namenode错误日志： 2019-07-16 18:55:52,617 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: hostname/ip:8485. Already tried 4 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2019-07-16 18:55:52,616 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: hostname/ip:8485. Already tried 4 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2019-07-16 18:55:53,438 INFO org.apache.hadoop.hdfs.qjournal.client.QuorumJournalManager: Waited 6001 ms (timeout=20000 ms) for a response for selectInputStreams. No responses yet. 2019-07-16 18:55:53,618 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: hostname/ip:8485. Already tried 5 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2019-07-16 18:55:53,618 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: hostname/ip:8485. Already tried 5 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2019-07-16 18:55:53,619 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: hostname/ip:8485. Already tried 5 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2019-07-16 18:55:54,439 INFO org.apache.hadoop.hdfs.qjournal.client.QuorumJournalManager: Waited 7003 ms (timeout=20000 ms) for a response for selectInputStreams. No responses yet. journalnode错误日志： 2019-07-16 18:56:10,836 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:11,939 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:12,391 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:13,341 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:16,212 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:17,871 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:20,902 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:21,081 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 查看了一下kdc的日志：可能问题在这里 Jul 16 17:03:50 hadoop01 krb5kdc[47](info): TGS_REQ (8 etypes {18 17 20 19 16 23 25 26}) 10.10.10.40: LOOKING_UP_SERVER: authtime 0, root/hadoop00@HADOOP.COM for host/hadoop01@HADOOP.COM, Server not found in Kerberos database Jul 16 17:03:50 hadoop01 krb5kdc[47](info): TGS_REQ (8 etypes {18 17 20 19 16 23 25 26}) 10.10.10.40: LOOKING_UP_SERVER: authtime 0, root/hadoop00@HADOOP.COM for host/hadoop00@HADOOP.COM, Server not found in Kerberos database Jul 16 17:03:52 hadoop01 krb5kdc[47](info): AS_REQ (3 etypes {17 16 23}) 10.10.10.40: ISSUE: authtime 1563267832, etypes {rep=17 tkt=18 ses=17}, root/hadoop00@HADOOP.COM for krbtgt/HADOOP.COM@HADOOP.COM Jul 16 17:03:53 hadoop01 krb5kdc[47](info): TGS_REQ (3 etypes {17 16 23}) 10.10.10.40: ISSUE: authtime 1563267832 , etypes {rep=17 tkt=18 ses=17}, root/hadoop00@HADOOP.COM for root/hadoop01@HADOOP.COM Jul 16 17:03:54 hadoop01 krb5kdc[47](info): TGS_REQ (8 etypes {18 17 20 19 16 23 25 26}) 10.10.10.40: LOOKING_UP_SERVER: authtime 0, root/hadoop00@HADOOP.COM for host/hadoop10@HADOOP.COM, Server not found in Kerberos database 所以怀疑问题处在这里，本地kinit root 和HTTP用户都是可以的，正常情况下应该是访问HTTP/hadoop01@HADOOP.COM 而不是host/hadoop01@HADOOP.COM 不知道这里为什么会出现host，请kerberos的大神指导一下

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