十三.大数据平台监控
作者：互联网
一、监控大数据平台
查看Linux系统信息
[root@master ~]# uname -a
Linux master 4.18.0-373.el8.x86_64 #1 SMP Tue Mar 22 15:11:47 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux
查看硬盘信息
查看分区
[root@master ~]# fdisk -l
Disk /dev/sda: 20 GiB, 21474836480 bytes, 41943040 sectors
Units: sectors of 1 * 512 = 512 bytes
Sector size (logical/physical): 512 bytes / 512 bytes
I/O size (minimum/optimal): 512 bytes / 512 bytes
Disklabel type: dos
Disk identifier: 0x3f653cbf
Device Boot Start End Sectors Size Id Type
/dev/sda1 * 2048 2099199 2097152 1G 83 Linux
/dev/sda2 2099200 41943039 39843840 19G 8e Linux LVM
Disk /dev/mapper/cs-root: 17 GiB, 18249416704 bytes, 35643392 sectors
Units: sectors of 1 * 512 = 512 bytes
Sector size (logical/physical): 512 bytes / 512 bytes
I/O size (minimum/optimal): 512 bytes / 512 bytes
Disk /dev/mapper/cs-swap: 2 GiB, 2147483648 bytes, 4194304 sectors
Units: sectors of 1 * 512 = 512 bytes
Sector size (logical/physical): 512 bytes / 512 bytes
I/O size (minimum/optimal): 512 bytes / 512 bytes
查看所有交换分区
[root@master ~]# swapon -s
Filename Type Size Used Priority
/dev/dm-1 partition 2097148 0 -2
查看文件系统占比
[root@master ~]# df -h
Filesystem Size Used Avail Use% Mounted on
devtmpfs 370M 0 370M 0% /dev
tmpfs 389M 0 389M 0% /dev/shm
tmpfs 389M 11M 379M 3% /run
tmpfs 389M 0 389M 0% /sys/fs/cgroup
/dev/mapper/cs-root 17G 5.3G 12G 32% /
/dev/sda1 1014M 210M 805M 21% /boot
tmpfs 78M 0 78M 0% /run/user/0
查看网络IP
[root@master ~]# ifconfig
ens33: flags=4163<UP,BROADCAST,RUNNING,MULTICAST> mtu 1500
inet 10.10.10.128 netmask 255.255.255.0 broadcast 10.10.10.255
inet6 fe80::20c:29ff:fe4f:1938 prefixlen 64 scopeid 0x20<link>
ether 00:0c:29:4f:19:38 txqueuelen 1000 (Ethernet)
RX packets 326 bytes 29201 (28.5 KiB)
RX errors 0 dropped 0 overruns 0 frame 0
TX packets 216 bytes 24513 (23.9 KiB)
TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
lo: flags=73<UP,LOOPBACK,RUNNING> mtu 65536
inet 127.0.0.1 netmask 255.0.0.0
inet6 ::1 prefixlen 128 scopeid 0x10<host>
loop txqueuelen 1000 (Local Loopback)
RX packets 8 bytes 720 (720.0 B)
RX errors 0 dropped 0 overruns 0 frame 0
TX packets 8 bytes 720 (720.0 B)
TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
查看所有监听端口
[root@master ~]# netstat -lntp
Active Internet connections (only servers)
Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name
tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN 958/sshd
tcp6 0 0 :::3306 :::* LISTEN 1247/mysqld
tcp6 0 0 :::22 :::* LISTEN 958/sshd
查看所有已建立的连接
[hadoop@master ~]$ netstat -antp
(No info could be read for "-p": geteuid()=1000 but you should be root.)
Active Internet connections (servers and established)
Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name
tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN -
tcp 0 52 10.10.10.128:22 10.10.10.1:7076 ESTABLISHED -
tcp6 0 0 :::3306 :::* LISTEN -
tcp6 0 0 :::22 :::* LISTEN -
实时显示进程状态
[root@master ~]# top
top - 17:07:10 up 10 min, 1 user, load average: 0.00, 0.03, 0.04
Tasks: 169 total, 1 running, 168 sleeping, 0 stopped, 0 zombie
%Cpu(s): 0.0 us, 0.0 sy, 0.0 ni, 99.9 id, 0.0 wa, 0.0 hi, 0.1 s
MiB Mem : 777.4 total, 116.6 free, 401.0 used, 259.7 buff
MiB Swap: 2048.0 total, 2048.0 free, 0.0 used. 245.6 avai
PID USER PR NI VIRT RES SHR S %CPU %MEM
313 root 0 -20 0 0 0 I 0.3 0.0
960 root 20 0 497104 29348 15336 S 0.3 3.7
1620 root 20 0 153500 5356 4092 S 0.3 0.7
1 root 20 0 174916 13432 8460 S 0.0 1.7
2 root 20 0 0 0 0 S 0.0 0.0
3 root 0 -20 0 0 0 I 0.0 0.0
4 root 0 -20 0 0 0 I 0.0 0.0
6 root 0 -20 0 0 0 I 0.0 0.0
8 root 20 0 0 0 0 I 0.0 0.0
查看CPU信息
[root@master ~]# cat /proc/cpuinfo
processor : 0
vendor_id : GenuineIntel
cpu family : 6
model : 165
model name : Intel(R) Core(TM) i3-10100 CPU @ 3.60GHz
stepping : 3
microcode : 0xcc
cpu MHz : 3600.005
cache size : 6144 KB
physical id : 0
siblings : 4
core id : 0
cpu cores : 4
apicid : 0
initial apicid : 0
fpu : yes
fpu_exception : yes
cpuid level : 22
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon nopl xtopology tsc_reliable nonstop_tsc cpuid pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 invpcid rdseed adx smap clflushopt xsaveopt xsavec xsaves arat md_clear flush_l1d arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs itlb_multihit
bogomips : 7200.01
clflush size : 64
cache_alignment : 64
address sizes : 43 bits physical, 48 bits virtual
power management:
processor : 1
vendor_id : GenuineIntel
cpu family : 6
model : 165
model name : Intel(R) Core(TM) i3-10100 CPU @ 3.60GHz
stepping : 3
microcode : 0xcc
cpu MHz : 3600.005
cache size : 6144 KB
physical id : 0
siblings : 4
core id : 1
cpu cores : 4
apicid : 1
initial apicid : 1
fpu : yes
fpu_exception : yes
cpuid level : 22
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon nopl xtopology tsc_reliable nonstop_tsc cpuid pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 invpcid rdseed adx smap clflushopt xsaveopt xsavec xsaves arat md_clear flush_l1d arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs itlb_multihit
bogomips : 7200.01
clflush size : 64
cache_alignment : 64
address sizes : 43 bits physical, 48 bits virtual
power management:
processor : 2
vendor_id : GenuineIntel
cpu family : 6
model : 165
model name : Intel(R) Core(TM) i3-10100 CPU @ 3.60GHz
stepping : 3
microcode : 0xcc
cpu MHz : 3600.005
cache size : 6144 KB
physical id : 0
siblings : 4
core id : 2
cpu cores : 4
apicid : 2
initial apicid : 2
fpu : yes
fpu_exception : yes
cpuid level : 22
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon nopl xtopology tsc_reliable nonstop_tsc cpuid pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 invpcid rdseed adx smap clflushopt xsaveopt xsavec xsaves arat md_clear flush_l1d arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs itlb_multihit
bogomips : 7200.01
clflush size : 64
cache_alignment : 64
address sizes : 43 bits physical, 48 bits virtual
power management:
processor : 3
vendor_id : GenuineIntel
cpu family : 6
model : 165
model name : Intel(R) Core(TM) i3-10100 CPU @ 3.60GHz
stepping : 3
microcode : 0xcc
cpu MHz : 3600.005
cache size : 6144 KB
physical id : 0
siblings : 4
core id : 3
cpu cores : 4
apicid : 3
initial apicid : 3
fpu : yes
fpu_exception : yes
cpuid level : 22
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon nopl xtopology tsc_reliable nonstop_tsc cpuid pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 invpcid rdseed adx smap clflushopt xsaveopt xsavec xsaves arat md_clear flush_l1d arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs itlb_multihit
bogomips : 7200.01
clflush size : 64
cache_alignment : 64
address sizes : 43 bits physical, 48 bits virtual
power management:
查看内存信息
[root@master ~]# cat /proc/meminfo
MemTotal: 796056 kB
MemFree: 120252 kB
MemAvailable: 252360 kB
Buffers: 4204 kB
Cached: 227492 kB
SwapCached: 0 kB
Active: 83512 kB
Inactive: 407888 kB
Active(anon): 1764 kB
Inactive(anon): 268576 kB
Active(file): 81748 kB
Inactive(file): 139312 kB
Unevictable: 0 kB
Mlocked: 0 kB
SwapTotal: 2097148 kB
SwapFree: 2097148 kB
Dirty: 0 kB
Writeback: 0 kB
AnonPages: 259716 kB
Mapped: 95376 kB
Shmem: 10636 kB
KReclaimable: 34272 kB
Slab: 83828 kB
SReclaimable: 34272 kB
SUnreclaim: 49556 kB
KernelStack: 5456 kB
PageTables: 7168 kB
NFS_Unstable: 0 kB
Bounce: 0 kB
WritebackTmp: 0 kB
CommitLimit: 2495176 kB
Committed_AS: 864108 kB
VmallocTotal: 34359738367 kB
VmallocUsed: 0 kB
VmallocChunk: 0 kB
Percpu: 76288 kB
HardwareCorrupted: 0 kB
AnonHugePages: 190464 kB
ShmemHugePages: 0 kB
ShmemPmdMapped: 0 kB
FileHugePages: 0 kB
FilePmdMapped: 0 kB
HugePages_Total: 0
HugePages_Free: 0
HugePages_Rsvd: 0
HugePages_Surp: 0
Hugepagesize: 2048 kB
Hugetlb: 0 kB
DirectMap4k: 124800 kB
DirectMap2M: 923648 kB
DirectMap1G: 0 kB
查看Hadoop状态
#切换Hadoop用户
[root@master ~]# su - hadoop
Last login: Fri May 13 17:05:40 CST 2022 on pts/0
#切换Hadoop安装目录
[hadoop@master ~]$ cd /usr/local/src/hadoop/
#启动Hadoop
[hadoop@master hadoop]$ start-all.sh
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
Starting namenodes on [master]
master: starting namenode, logging to /usr/local/src/hadoop/logs/hadoop-hadoop-namenode-master.out
10.10.10.129: starting datanode, logging to /usr/local/src/hadoop/logs/hadoop-hadoop-datanode-slave1.out
10.10.10.130: starting datanode, logging to /usr/local/src/hadoop/logs/hadoop-hadoop-datanode-slave2.out
Starting secondary namenodes [0.0.0.0]
0.0.0.0: secondarynamenode running as process 1989. Stop it first.
starting yarn daemons
starting resourcemanager, logging to /usr/local/src/hadoop/logs/yarn-hadoop-resourcemanager-master.out
10.10.10.130: starting nodemanager, logging to /usr/local/src/hadoop/logs/yarn-hadoop-nodemanager-slave2.out
10.10.10.129: starting nodemanager, logging to /usr/local/src/hadoop/logs/yarn-hadoop-nodemanager-slave1.out
#关闭Hadoop
[hadoop@master hadoop]$ stop-all.sh
This script is Deprecated. Instead use stop-dfs.sh and stop-yarn.sh
Stopping namenodes on [master]
master: stopping namenode
10.10.10.129: stopping datanode
10.10.10.130: stopping datanode
Stopping secondary namenodes [0.0.0.0]
0.0.0.0: no secondarynamenode to stop
stopping yarn daemons
stopping resourcemanager
10.10.10.129: stopping nodemanager
10.10.10.130: stopping nodemanager
no proxyserver to stop
二、监控大数据平台资源状态
查看YARN状态
#切换Hadoop安装目录
[hadoop@master ~]$ cd /usr/local/src/hadoop/
#启动Zookeeper
[hadoop@master hadoop]$ zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /usr/local/src/zookeeper/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[root@slave1 ~]# zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /usr/local/src/zookeeper/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[root@slave2 ~]# zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /usr/local/src/zookeeper/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
#启动Hadoop
[hadoop@master hadoop]$ start-all.sh
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
Starting namenodes on [master]
master: starting namenode, logging to /usr/local/src/hadoop/logs/hadoop-hadoop-namenode-master.out
10.10.10.130: starting datanode, logging to /usr/local/src/hadoop/logs/hadoop-hadoop-datanode-slave2.out
10.10.10.129: starting datanode, logging to /usr/local/src/hadoop/logs/hadoop-hadoop-datanode-slave1.out
Starting secondary namenodes [0.0.0.0]
0.0.0.0: starting secondarynamenode, logging to /usr/local/src/hadoop/logs/hadoop-hadoop-secondarynamenode-master.out
starting yarn daemons
starting resourcemanager, logging to /usr/local/src/hadoop/logs/yarn-hadoop-resourcemanager-master.out
10.10.10.129: starting nodemanager, logging to /usr/local/src/hadoop/logs/yarn-hadoop-nodemanager-slave1.out
10.10.10.130: starting nodemanager, logging to /usr/local/src/hadoop/logs/yarn-hadoop-nodemanager-slave2.out
#JPS查看有NodeManager和ResourceManager进程则表示YARN成功
[hadoop@master hadoop]$ jps
3539 ResourceManager
2984 QuorumPeerMain
3161 NameNode
3371 SecondaryNameNode
3803 Jps
查看HDFS状态
#切换Hadoop安装目录
[hadoop@master ~]$ cd /usr/local/src/hadoop/
#查看HDFS目录
[hadoop@master hadoop]$ ./bin/hdfs dfs -ls /
Found 5 items
drwxr-xr-x - hadoop supergroup 0 2022-04-15 17:30 /hbase
drwxr-xr-x - hadoop supergroup 0 2022-04-15 14:53 /input
drwxr-xr-x - hadoop supergroup 0 2022-04-15 14:53 /output
drwx------ - hadoop supergroup 0 2022-05-06 17:31 /tmp
drwxr-xr-x - hadoop supergroup 0 2022-04-29 17:06 /user
#查看HDFS报告
[hadoop@master hadoop]$ bin/hdfs dfsadmin -report
Configured Capacity: 36477861888 (33.97 GB)
Present Capacity: 30300819456 (28.22 GB)
DFS Remaining: 30297894912 (28.22 GB)
DFS Used: 2924544 (2.79 MB)
DFS Used%: 0.01%
Under replicated blocks: 0
Blocks with corrupt replicas: 0
Missing blocks: 0
Missing blocks (with replication factor 1): 0
-------------------------------------------------
Live datanodes (2):
Name: 10.10.10.129:50010 (slave1)
Hostname: slave1
Decommission Status : Normal
Configured Capacity: 18238930944 (16.99 GB)
DFS Used: 1462272 (1.39 MB)
Non DFS Used: 3130793984 (2.92 GB)
DFS Remaining: 15106674688 (14.07 GB)
DFS Used%: 0.01%
DFS Remaining%: 82.83%
Configured Cache Capacity: 0 (0 B)
Cache Used: 0 (0 B)
Cache Remaining: 0 (0 B)
Cache Used%: 100.00%
Cache Remaining%: 0.00%
Xceivers: 1
Last contact: Fri May 13 17:23:05 CST 2022
Name: 10.10.10.130:50010 (slave2)
Hostname: slave2
Decommission Status : Normal
Configured Capacity: 18238930944 (16.99 GB)
DFS Used: 1462272 (1.39 MB)
Non DFS Used: 3046248448 (2.84 GB)
DFS Remaining: 15191220224 (14.15 GB)
DFS Used%: 0.01%
DFS Remaining%: 83.29%
Configured Cache Capacity: 0 (0 B)
Cache Used: 0 (0 B)
Cache Remaining: 0 (0 B)
Cache Used%: 100.00%
Cache Remaining%: 0.00%
Xceivers: 1
Last contact: Fri May 13 17:23:05 CST 2022
#查看HDFS空间情况
[hadoop@master hadoop]$ hdfs dfs -df /
Filesystem Size Used Available Use%
hdfs://master:9000 36477861888 2924544 30297894912 0%
查看HBase状态
启动HBase
#进入HBase安装目录
[hadoop@master ~]$ cd /usr/local/src/hbase/
#查看版本
[hadoop@master hbase]$ hbase version
HBase 1.2.1
Source code repository git://asf-dev/home/busbey/projects/hbase revision=8d8a7107dc4ccbf36a92f64675dc60392f85c015
Compiled by busbey on Wed Mar 30 11:19:21 CDT 2016
From source with checksum f4bb4a14bb4e0b72b46f729dae98a772
#结果显示 HBase1.2.1，说明 HBase 正在运行，版本号为 1.2.1。
#如果没有启动，则执行命令 start-hbase.sh 启动 HBase。
[hadoop@master hbase]$ start-hbase.sh
slave1: starting zookeeper, logging to /usr/local/src/hbase/logs/hbase-hadoop-zookeeper-slave1.out
slave2: starting zookeeper, logging to /usr/local/src/hbase/logs/hbase-hadoop-zookeeper-slave2.out
master: starting zookeeper, logging to /usr/local/src/hbase/logs/hbase-hadoop-zookeeper-master.out
starting master, logging to /usr/local/src/hbase/logs/hbase-hadoop-master-master.out
Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=128m; support was removed in 8.0
Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0
10.10.10.129: starting regionserver, logging to /usr/local/src/hbase/logs/hbase-hadoop-regionserver-slave1.out
10.10.10.130: starting regionserver, logging to /usr/local/src/hbase/logs/hbase-hadoop-regionserver-slave2.out
10.10.10.130: Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=128m; support was removed in 8.0
10.10.10.130: Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0
10.10.10.129: Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=128m; support was removed in 8.0
10.10.10.129: Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0
[hadoop@master hbase]$ hbase version
HBase 1.2.1
Source code repository git://asf-dev/home/busbey/projects/hbase revision=8d8a7107dc4ccbf36a92f64675dc60392f85c015
Compiled by busbey on Wed Mar 30 11:19:21 CDT 2016
From source with checksum f4bb4a14bb4e0b72b46f729dae98a772
查看HBase版本信息
#进入HBase交互界面
[hadoop@master hbase]$ hbase shell
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/src/hbase/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/local/src/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
HBase Shell; enter 'help<RETURN>' for list of supported commands.
Type "exit<RETURN>" to leave the HBase Shell
Version 1.2.1, r8d8a7107dc4ccbf36a92f64675dc60392f85c015, Wed Mar 30 11:19:21 CDT 2016
hbase(main):001:0>
#查看版本
hbase(main):001:0> version
1.2.1, r8d8a7107dc4ccbf36a92f64675dc60392f85c015, Wed Mar 30 11:19:21 CDT 2016
查询HBase状态
hbase(main):002:0> status
1 active master, 0 backup masters, 3 servers, 0 dead, 0.6667 average load
查看Hive状态
启动Hive
[hadoop@master ~]$ cd /usr/local/src/hive/
[hadoop@master hive]$ hive
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/src/hive/lib/hive-jdbc-2.0.0-standalone.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/local/src/hive/lib/log4j-slf4j-impl-2.4.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/local/src/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
Logging initialized using configuration in jar:file:/usr/local/src/hive/lib/hive-common-2.0.0.jar!/hive-log4j2.properties
Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases.
hive>
Hive操作基本命令
查看数据库
hive> show databases;
OK
default
sample
Time taken: 0.628 seconds, Fetched: 2 row(s)
查看default数据库所有表
hive> use default;
OK
Time taken: 0.025 seconds
hive> show tables;
OK
test
Time taken: 0.05 seconds, Fetched: 1 row(s)
创建表stu，表的id为整数型，name为字符型
hive> create table stu(id int,name string);
OK
Time taken: 0.382 seconds
为表stu插入一条信息，id号为001，name为张三
hive> insert into stu values(1001,"zhangsan");
WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases.
Query ID = hadoop_20220517143507_8a20256e-ac94-49f9-8c4c-93a86d341936
Total jobs = 3
Launching Job 1 out of 3
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_1652768861914_0001, Tracking URL = http://master:8088/proxy/application_1652768861914_0001/
Kill Command = /usr/local/src/hadoop/bin/hadoop job -kill job_1652768861914_0001
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
2022-05-17 14:35:44,996 Stage-1 map = 0%, reduce = 0%
2022-05-17 14:35:50,379 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 2.58 sec
MapReduce Total cumulative CPU time: 2 seconds 580 msec
Ended Job = job_1652768861914_0001
Stage-4 is selected by condition resolver.
Stage-3 is filtered out by condition resolver.
Stage-5 is filtered out by condition resolver.
Moving data to: hdfs://master:9000/user/hive/warehouse/stu/.hive-staging_hive_2022-05-17_14-35-35_416_5475258551476738478-1/-ext-10000
Loading data to table default.stu
MapReduce Jobs Launched:
Stage-Stage-1: Map: 1 Cumulative CPU: 2.58 sec HDFS Read: 4138 HDFS Write: 81 SUCCESS
Total MapReduce CPU Time Spent: 2 seconds 580 msec
OK
Time taken: 17.501 seconds
插入数据后查看表的信息
hive> show tables;
OK
stu
test
values__tmp__table__1
Time taken: 0.035 seconds, Fetched: 3 row(s)
查看表stu结构
hive> desc stu;
OK
id int
name string
Time taken: 0.044 seconds, Fetched: 2 row(s)
查看表stu的内容
hive> select * from stu;
OK
1001 zhangsan
Time taken: 0.119 seconds, Fetched: 1 row(s)
查看文件系统和历史命令
查看本地文件系统
hive> ! ls /usr/local/src;
flume
hadoop
hbase
hive
jdk
sqoop
zookeeper
查看HDFS文件系统
hive> dfs -ls /;
Found 5 items
drwxr-xr-x - hadoop supergroup 0 2022-05-13 17:29 /hbase
drwxr-xr-x - hadoop supergroup 0 2022-04-15 14:53 /input
drwxr-xr-x - hadoop supergroup 0 2022-04-15 14:53 /output
drwx------ - hadoop supergroup 0 2022-05-06 17:31 /tmp
drwxr-xr-x - hadoop supergroup 0 2022-04-29 17:06 /user
查看Hive输入的所有历史命令
[hadoop@master hive]$ cd /home/hadoop/
[hadoop@master ~]$ cat .hivehistory
quit
exit
create database sample;
use sample;
create table student(number STRING,name STRING);
exit;
use sample;
show tables;
select * from student;
quit;
clear
exit;
show databases;
use default;
show tables;
create table stu(id int,name string);
insert into stu values (1001,"zhangsan")
use default;
show tables;
insert into stu values(1001,"zhangsan");
show tables;
desc stu;
select * from stu;
! ls /usr/local/src;
dfs -ls /;
三、监控大数据平台服务状态
查看ZooKeeper状态
查看ZooKeeper状态
[hadoop@master ~]$ zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /usr/local/src/zookeeper/bin/../conf/zoo.cfg
Mode: follower
#Mode: follower表示ZooKeeper的跟随者
查看运行进程
[hadoop@master ~]$ jps
1968 NameNode
2179 SecondaryNameNode
3654 QuorumPeerMain
3752 Jps
2350 ResourceManager
#QuorumPeerMain已启动
连接ZooKeeper服务
[hadoop@master ~]$ zkCli.sh
Connecting to localhost:2181
2022-05-17 14:44:43,564 [myid:] - INFO [main:Environment@100] - Client environment:zookeeper.version=3.4.8--1, built on 02/06/2016 03:18 GMT
2022-05-17 14:44:43,566 [myid:] - INFO [main:Environment@100] - Client environment:host.name=master
2022-05-17 14:44:43,566 [myid:] - INFO [main:Environment@100] - Client environment:java.version=1.8.0_152
2022-05-17 14:44:43,568 [myid:] - INFO [main:Environment@100] - Client environment:java.vendor=Oracle Corporation
2022-05-17 14:44:43,568 [myid:] - INFO [main:Environment@100] - Client environment:java.home=/usr/local/src/jdk/jre
2022-05-17 14:44:43,568 [myid:] - INFO [main:Environment@100] - Client environment:java.class.path=/usr/local/src/zookeeper/bin/../build/classes:/usr/local/src/zookeeper/bin/../build/lib/*.jar:/usr/local/src/zookeeper/bin/../lib/slf4j-log4j12-1.6.1.jar:/usr/local/src/zookeeper/bin/../lib/slf4j-api-1.6.1.jar:/usr/local/src/zookeeper/bin/../lib/netty-3.7.0.Final.jar:/usr/local/src/zookeeper/bin/../lib/log4j-1.2.16.jar:/usr/local/src/zookeeper/bin/../lib/jline-0.9.94.jar:/usr/local/src/zookeeper/bin/../zookeeper-3.4.8.jar:/usr/local/src/zookeeper/bin/../src/java/lib/*.jar:/usr/local/src/zookeeper/bin/../conf:
2022-05-17 14:44:43,568 [myid:] - INFO [main:Environment@100] - Client environment:java.library.path=/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib
2022-05-17 14:44:43,568 [myid:] - INFO [main:Environment@100] - Client environment:java.io.tmpdir=/tmp
2022-05-17 14:44:43,568 [myid:] - INFO [main:Environment@100] - Client environment:java.compiler=<NA>
2022-05-17 14:44:43,568 [myid:] - INFO [main:Environment@100] - Client environment:os.name=Linux
2022-05-17 14:44:43,568 [myid:] - INFO [main:Environment@100] - Client environment:os.arch=amd64
2022-05-17 14:44:43,568 [myid:] - INFO [main:Environment@100] - Client environment:os.version=4.18.0-373.el8.x86_64
2022-05-17 14:44:43,569 [myid:] - INFO [main:Environment@100] - Client environment:user.name=hadoop
2022-05-17 14:44:43,569 [myid:] - INFO [main:Environment@100] - Client environment:user.home=/home/hadoop
2022-05-17 14:44:43,569 [myid:] - INFO [main:Environment@100] - Client environment:user.dir=/home/hadoop
2022-05-17 14:44:43,570 [myid:] - INFO [main:ZooKeeper@438] - Initiating client connection, connectString=localhost:2181 sessionTimeout=30000 watcher=org.apache.zookeeper.ZooKeeperMain$MyWatcher@69d0a921
Welcome to ZooKeeper!
2022-05-17 14:44:43,592 [myid:] - INFO [main-SendThread(localhost:2181):ClientCnxn$SendThread@1032] - Opening socket connection to server localhost/127.0.0.1:2181. Will not attempt to authenticate using SASL (unknown error)
JLine support is enabled
2022-05-17 14:44:43,634 [myid:] - INFO [main-SendThread(localhost:2181):ClientCnxn$SendThread@876] - Socket connection established to localhost/127.0.0.1:2181, initiating session
2022-05-17 14:44:43,646 [myid:] - INFO [main-SendThread(localhost:2181):ClientCnxn$SendThread@1299] - Session establishment complete on server localhost/127.0.0.1:2181, sessionid = 0x180d0c0ef7f0000, negotiated timeout = 30000
WATCHER::
WatchedEvent state:SyncConnected type:None path:null
[zk: localhost:2181(CONNECTED) 0]
使用Watch监听/hbase目录
[zk: localhost:2181(CONNECTED) 0] get /hbase 1
cZxid = 0x400000002
ctime = Fri May 13 17:30:40 CST 2022
mZxid = 0x400000002
mtime = Fri May 13 17:30:40 CST 2022
pZxid = 0x500000004
cversion = 19
dataVersion = 0
aclVersion = 0
ephemeralOwner = 0x0
dataLength = 0
numChildren = 13
[zk: localhost:2181(CONNECTED) 1] set /hbase value-ipdate
WATCHER::
WatchedEvent state:SyncConnected type:NodeDataChanged path:/hbase
cZxid = 0x400000002
ctime = Fri May 13 17:30:40 CST 2022
mZxid = 0x500000009
mtime = Tue May 17 14:47:48 CST 2022
pZxid = 0x500000004
cversion = 19
dataVersion = 1
aclVersion = 0
ephemeralOwner = 0x0
dataLength = 12
numChildren = 13
[zk: localhost:2181(CONNECTED) 2] get /hbase
value-ipdate
cZxid = 0x400000002
ctime = Fri May 13 17:30:40 CST 2022
mZxid = 0x500000009
mtime = Tue May 17 14:47:48 CST 2022
pZxid = 0x500000004
cversion = 19
dataVersion = 1
aclVersion = 0
ephemeralOwner = 0x0
dataLength = 12
numChildren = 13
[zk: localhost:2181(CONNECTED) 3] quit
Quitting...
2022-05-17 14:46:43,808 [myid:] - INFO [main:ZooKeeper@684] - Session: 0x180d0c0ef7f0001 closed
2022-05-17 14:46:43,809 [myid:] - INFO [main-EventThread:ClientCnxn$EventThread@519] - EventThread shut down for session: 0x180d0c0ef7f0001
查看Sqoop状态
查询Sqoop版本号
[hadoop@master ~]$ cd /usr/local/src/sqoop/
[hadoop@master sqoop]$ ./bin/sqoop-version
Warning: /usr/local/src/sqoop/../hcatalog does not exist! HCatalog jobs will fail.
Please set $HCAT_HOME to the root of your HCatalog installation.
Warning: /usr/local/src/sqoop/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
22/05/17 14:47:38 INFO sqoop.Sqoop: Running Sqoop version: 1.4.7
Sqoop 1.4.7
git commit id 2328971411f57f0cb683dfb79d19d4d19d185dd8
Compiled by maugli on Thu Dec 21 15:59:58 STD 2017
测试Sqoop连接数据库
[hadoop@master ~]$ cd /usr/local/src/sqoop/
[hadoop@master sqoop]$ bin/sqoop list-databases --connect jdbc:mysql://master:3306/ --username root --password Password123!
Warning: /usr/local/src/sqoop/../hcatalog does not exist! HCatalog jobs will fail.
Please set $HCAT_HOME to the root of your HCatalog installation.
Warning: /usr/local/src/sqoop/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
22/05/17 14:50:51 INFO sqoop.Sqoop: Running Sqoop version: 1.4.7
22/05/17 14:50:51 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
22/05/17 14:50:51 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.
Tue May 17 14:50:51 CST 2022 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
information_schema
hive
mysql
performance_schema
sample
sys
查看Sqoop 帮助，代表Sqoop启动成功
[hadoop@master sqoop]$ sqoop help
Warning: /usr/local/src/sqoop/../hcatalog does not exist! HCatalog jobs will fail.
Please set $HCAT_HOME to the root of your HCatalog installation.
Warning: /usr/local/src/sqoop/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
22/05/17 14:51:41 INFO sqoop.Sqoop: Running Sqoop version: 1.4.7
usage: sqoop COMMAND [ARGS]
Available commands:
codegen Generate code to interact with database records
create-hive-table Import a table definition into Hive
eval Evaluate a SQL statement and display the results
export Export an HDFS directory to a database table
help List available commands
import Import a table from a database to HDFS
import-all-tables Import tables from a database to HDFS
import-mainframe Import datasets from a mainframe server to HDFS
job Work with saved jobs
list-databases List available databases on a server
list-tables List available tables in a database
merge Merge results of incremental imports
metastore Run a standalone Sqoop metastore
version Display version information
See 'sqoop help COMMAND' for information on a specific command.
| 序号 | 命令 | 功能 |
|---|---|---|
| 1 | import | 将数据导入到集群 |
| 2 | export | 讲集群数据导出 |
| 3 | codegen | 生成与数据库记录交互的代码 |
| 4 | create-hive-table | 创建Hive表 |
| 5 | eval | 查看SQL执行结果 |
| 6 | import-all-tables | 导入某个数据库下所有表到HDFS中 |
| 7 | job | 生成一个job |
| 8 | list-databases | 列出所有数据库名 |
| 9 | list-tables | 列出某个数据库下所有的表 |
| 10 | merge | 将HDFS中不同目录下数据合在一起，并存放在指定的目录中 |
| 11 | metastore | 记录Sqoop job的元数据信息，如果不启动metasrore实例，则默认的元数据存储目录为：~/.sqoop |
| 12 | help | 打印Sqoop帮助信息 |
| 13 | version | 打印Sqoop版本信息 |
查看Flume状态
检查Flume安装是否成功
[hadoop@master sqoop]$ cd /usr/local/src/flume/
[hadoop@master flume]$ flume-ng version
Flume 1.6.0
Source code repository: https://git-wip-us.apache.org/repos/asf/flume.git
Revision: 2561a23240a71ba20bf288c7c2cda88f443c2080
Compiled by hshreedharan on Mon May 11 11:15:44 PDT 2015
From source with checksum b29e416802ce9ece3269d34233baf43f
添加example.conf到/usr/local/src/flume
[hadoop@master flume]$ vi /usr/local/src/flume/example.conf
#a1是agent名，r1,k1,c1是a1的三个组件
a1.sources=r1
a1.sinks=k1
a1.channels=c1
#设置r1源文件的类型、路径和文件头属性
a1.sources.r1.type=spooldir
a1.sources.r1.spoolDir=/usr/local/src/hadoop/logs/
a1.sources.r1.fileHeader=true
#设置k1目标存储器属性
a1.sinks.k1.type=hdfs #目标存储器类型hdfs
a1.sinks.k1.hdfs.path=hdfs://master:9000/tmp/flume #目标存储位置
a1.sinks.k1.hdfs.rollsize=1048760 #临时文件达1048760 bytes时，滚动形成目标文件
a1.sinks.k1.hdfs.rollCount=0 #表示不根据events数量1来滚动形成目标文件
a1.sinks.k1.hdfs.rollInterval=900 #间隔900秒将临时文件滚动形成目标文件
a1.sinks.k1.hdfs.useLocalTimeStamp=true #使用本地时间戳
#设置c1暂存容器属性
a1.channels.c1.type=file #使用文件作为暂存容器
a1.channels.c1.capacity=1000
a1.channels.c1.transactionCapacity=100
#使用c1作为源和目标数据的传输通道
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1
启动Flume Agent a1日志控制台
[hadoop@master flume]$ /usr/local/src/flume/bin/flume-ng agent --conf ./conf/ --conf-file ./example.conf --name a1 -Dflume.root.logger=INFO,console
查看结果
[hadoop@master flume]$ hdfs dfs -lsr /flume
-rw-r--r--2 hadoop supergroup 1300 2022-05-17
:43 /tmp/flume/FlumeData.1651819407082
-rw-r--r--2 hadoop supergroup 2748 2022-05-17
:43 /tmp/flume/FlumeData.1651819407083
-rw-r--r--2 hadoop supergroup 2163 2022-05-17
:43 /tmp/flume/FlumeData.1651819407084
标签：src,17,十三,平台,hadoop,master,usr,监控,local 来源： https://www.cnblogs.com/kongshuo/p/16280963.html