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2025-03-31 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Servers >
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This article mainly introduces "Hive's detailed installation steps". In daily operation, I believe many people have doubts about Hive's detailed installation steps. Xiaobian consulted all kinds of information and sorted out simple and easy operation methods. I hope to help you answer your doubts about "Hive's detailed installation steps"! Next, please follow the small series to learn together!
1. Unzip the file [root@hadoop0 opt]# tar -zxvf hive-0.9.0.tar.gz
2. Change name [root@hadoop0 opt]# mv hive-0.9.0 hive
3. Configure environment variables, modify etc/profile global variable file/opt/hive/bin
JAVA_HOME=/opt/jdk1.6.0_24
HADOOP_HOME=/opt/hadoop
HBASE_HOME=/opt/hbase
HIVE_HOME=/opt/hive
PATH=$JAVA_HOME/bin:$HADOOP_HOME/bin:$HBASE_HOME/bin:$HIVE_HOME/bin:$PATH
export JAVA_HOME HADOOP_HOME HBASE_HOME HIVE_HOME PATH
[root@hadoop0 bin]# su -
4, Test run, See if the installation is successful [root@hadoop0 ~]# hive
WARNING: org.apache.hadoop.metrics.jvm.EventCounter is deprecated. Please use org.apache.hadoop.log.metrics.EventCounter in all the log4j.properties files.
Logging initialized using configuration in jar:file:/opt/hive/lib/hive-common-0.9.0.jar!/ hive-log4j.properties
Hive history file=/tmp/root/hive_job_log_root_201509250619_148272494.txt
hive> show tables;
FAILED: Error in metadata: MetaException(message:Got exception: java.net.ConnectException Call to hadoop0/192.168.46.129:9000 failed on connection exception: java.net.ConnectException: Connection refused)
FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask
--Solution: Hive relies on HDFS to store data, so make sure hadoop is started
[root@hadoop0 ~]# start-all.sh
Warning: $HADOOP_HOME is deprecated.
starting namenode, logging to /opt/hadoop/libexec/../ logs/hadoop-root-namenode-hadoop0.out
localhost: starting datanode, logging to /opt/hadoop/libexec/../ logs/hadoop-root-datanode-hadoop0.out
localhost: starting secondarynamenode, logging to /opt/hadoop/libexec/../ logs/hadoop-root-secondarynamenode-hadoop0.out
starting jobtracker, logging to /opt/hadoop/libexec/../ logs/hadoop-root-jobtracker-hadoop0.out
localhost: starting tasktracker, logging to /opt/hadoop/libexec/../ logs/hadoop-root-tasktracker-hadoop0.out
--So far the simplest hive environment configuration is complete
5. Start creating data tables hive> show tables;
OK
Time taken: 5.619 seconds
hive> create table stu(name String,age int);
FAILED: Error in metadata: MetaException(message:Got exception: org.apache.hadoop.ipc.RemoteException
org.apache.hadoop.hdfs.server.namenode.SafeModeException: Cannot create directory /user/hive/warehouse/stu.
Name node is in safe mode.
The reported blocks 18 has reached the threshold 0.9990 of total blocks 17. Safe mode will be turned off automatically in 15 seconds.
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesystem.java:2204)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:2178)
at org.apache.hadoop.hdfs.server.namenode.NameNode.mkdirs(NameNode.java:857)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:578)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1393)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1389)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1149)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1387)
)
FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask
--Solution: Due to lack of parameter configuration, manually create a directory to solve this problem
[root@hadoop0 ~]# mkdir -p /user/hive/warehouse/stu
hive> create table stu(name String,age int);
OK
Time taken: 0.229 seconds
Hive does not support Insert statements hive> insert into stu values ('Meng ', 24);
FAILED: Parse Error: line 1:12 mismatched input 'stu' expecting TABLE near 'into' in insert clause
hive> show tables;
OK
stu
Time taken: 0.078 seconds
hive> desc stu;
OK
name string
age int
Time taken: 0.255 seconds
--Solution: hive does not support the above operations, you can use load to load
hive> LOAD DATA LOCAL INPATH '/opt/stu.txt' OVERWRITE INTO TABLE stu;
Copying data from file:/opt/stu.txt
Copying file: file:/opt/stu.txt
Loading data to table default.stu
Deleted hdfs://hadoop0:9000/user/hive/warehouse/stu
OK
Time taken: 0.643 seconds
Hive> select name ,age from stu;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_201509250620_0001, Tracking URL = http://hadoop0:50030/jobdetails.jsp? jobid=job_201509250620_0001
Kill Command = /opt/hadoop/libexec/../ bin/hadoop job -Dmapred.job.tracker=hadoop0:9001 -kill job_201509250620_0001
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
2015-09-25 06:37:55,535 Stage-1 map = 0%, reduce = 0%
2015-09-25 06:37:58,565 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 0.59 sec
2015-09-25 06:37:59,595 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 0.59 sec
2015-09-25 06:38:00,647 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 0.59 sec
MapReduce Total cumulative CPU time: 590 msec
Ended Job = job_201509250620_0001
MapReduce Jobs Launched:
Job 0: Map: 1 Cumulative CPU: 0.59 sec HDFS Read: 221 HDFS Write: 22 SUCCESS
Total MapReduce CPU Time Spent: 590 msec
OK
--Query structure is displayed
JieJie 26 NULL
MM 24 NULL
Time taken: 12.812 seconds
Question: Why is there a null value, wait for the next study
At this point, the study of "Hive's detailed installation steps" is over, hoping to solve everyone's doubts. Theory and practice can better match to help everyone learn, go and try it! If you want to continue learning more relevant knowledge, please continue to pay attention to the website, Xiaobian will continue to strive to bring more practical articles for everyone!
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