k8s中部署hive,包括客户端及服务端
一、前提
- 部署好了k8s;
- 部署好了hadoop;
二、镜像封装
因为hive是基于hadoop的,而我们已经部署好了hadoop,所以直接通过现有hadoop的镜像来封装hive的镜像。helm上也有可以直接使用的chart,但是版本可能和我们需要的不一样,所以还是自己封装比较好。
首先查一下我们的镜像,因为我的hadoop是用helm部署的,需要先明确一下。
sudo docker images |grep hadoop

用的是3.3.2版本,镜像名是farberg/apache-hadoop。
编写dockerfile如下:
FROM farberg/apache-hadoop:3.3.2
RUN rm -f /etc/localtime && ln -sv /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo "Asia/Shanghai" > /etc/timezone
RUN export LANG=zh_CN.UTF-8
RUN wget https://mirrors.aliyun.com/apache/hive/hive-3.1.3/apache-hive-3.1.3-bin.tar.gz
ENV HIVE_VERSION 3.1.3
RUN tar -zxvf apache-hive-3.1.3-bin.tar.gz -C /opt/ && mv /opt/apache-hive-3.1.3-bin /opt/hive
ENV HIVE_HOME=/opt/hive
ENV PATH=$HIVE_HOME/bin:$PATH
#这里mysql的jar包的版本要和后面部署的mysql一致
RUN wget https://repo1.maven.org/maven2/com/mysql/mysql-connector-j/8.0.32/mysql-connector-j-8.0.32.jar && mv mysql-connector-j-8.0.32.jar /opt/hive/lib/
WORKDIR /opt/
# Hdfs ports
EXPOSE 50010 50020 50070 50075 50090 8020 9000
# Mapred ports
EXPOSE 19888
#Yarn ports
EXPOSE 8030 8031 8032 8033 8040 8042 8088
#Other ports
EXPOSE 49707 2122
hive的镜像在这里下载比较快:
https://mirrors.aliyun.com/apache/
dockerfile编写好之后,通过以下命令构建镜像:
sudo docker build -t ccr.ccs.tencentyun.com/cube-studio/hadoop-hive:v3.3.2-3.1.3 .
镜像构建后通过以下命令推送:
sudo docker push ccr.ccs.tencentyun.com/cube-studio/hadoop-hive:v3.3.2-3.1.3
推送好之后,在cube studio平台上,新建一个pipeline,使用自定义镜像模板,填写镜像为ccr.ccs.tencentyun.com/cube-studio/hadoop-hive:v3.3.2-3.1.3,debug,检查目录对不对,检查环境变量是否正确,在命令行输入hive命令,看是否能正常执行。

都正常则表明镜像是没问题的,可以进行下一步了。
三、部署mysql
这里之前写过了怎么在k8s部署mysql,所以直接用就可以了。文章链接:https://blog.csdn.net/weixin_39750084/article/details/136366800
四、部署hive
apiVersion: v1
kind: ConfigMap
metadata:
name: hive-custom-config-cm
labels:
app: hive
data:
bootstrap.sh: |-
#!/bin/bash
cd /root/bootstrap
# Apply custom config file context
cp hive-site.xml $HIVE_HOME/conf/
cp core-site.xml $HADOOP_HOME/etc/hadoop/
cp yarn-site.xml $HADOOP_HOME/etc/hadoop/
# initSchema
$HADOOP_HOME/bin/hadoop fs -test -e '/user/hive/warehouse'
if [ ! $? -eq 0 ]; then
$HADOOP_HOME/bin/hadoop fs -mkdir -p /tmp
$HADOOP_HOME/bin/hadoop fs -mkdir -p /user/hive/warehouse
$HADOOP_HOME/bin/hadoop fs -chmod g+w /tmp
$HADOOP_HOME/bin/hadoop fs -chmod g+w /user/hive/warehouse
$HIVE_HOME/bin/schematool -dbType mysql -initSchema --verbose &
#等待初始化运行结束,否则会报错FAILED: HiveException java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
#若出现此报错,需要进入hive的pod中,手动执行命令hive --service metastore &
sleep 10
fi
$HIVE_HOME/bin/hiveserver2 &
$HIVE_HOME/bin/hive --service metastore &
cp $HIVE_HOME/conf/hive-env.sh.template $HIVE_HOME/conf/hive-env.sh && echo "export HADOOP_CLIENT_OPTS=\"-Xmx512m -XX:MaxPermSize=1024m \$HADOOP_CLIENT_OPTS\"" >> $HIVE_HOME/conf/hive-env.sh
# keep running
sleep infinity
hive-site.xml: |-
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>hive.server2.enable.doAs</name>
<value>false</value>
</property>
<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>root</value>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>admin</value>
</property>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://mysql-service.infra:3306/metastore?createDatabaseIfNotExist=true&useSSL=false</value>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
</property>
<property>
<name>system:java.io.tmpdir</name>
<value>/tmp</value>
</property>
<property>
<name>system:user.name</name>
<value>hive</value>
</property>
<property>
<name>hive.server2.authentication</name>
<value>NOSASL</value>
</property>
<!--设置HDFS地址-->
<property>
<name>fs.defaultFS</name>
<value>hdfs://hadoop-hadoop-hdfs-nn.default:9000</value>
</property>
</configuration>
core-site.xml: |-
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://hadoop-hadoop-hdfs-nn.default:9000</value>
</property>
</configuration>
yarn-site.xml: |-
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<!-- Site specific YARN configuration properties -->
<property>
<name>yarn.resourcemanager.hostname</name>
<value>hadoop-hadoop-yarn-rm-0.hadoop-hadoop-yarn-rm.default</value>
</property>
</configuration>
deployment及service等:
apiVersion: apps/v1
kind: Deployment
metadata:
name: hive
spec:
replicas: 1
revisionHistoryLimit: 10
selector:
matchLabels:
app: hive
template:
metadata:
labels:
app: hive
spec:
containers:
- name: hive
image: ccr.ccs.tencentyun.com/cube-studio/hadoop-hive:v3.3.2-3.1.3
command: ["bash", "-c", "bash /root/bootstrap/bootstrap.sh"]
ports:
- containerPort: 10000
- containerPort: 10002
- containerPort: 9083
env:
- name: HADOOP_CONF_DIR
value: /opt/hadoop/etc/hadoop
volumeMounts:
- name: hive-custom-config-volume
mountPath: /root/bootstrap
readinessProbe:
initialDelaySeconds: 20
periodSeconds: 5
tcpSocket:
port: 10000
volumes:
- name: hive-custom-config-volume
configMap:
name: hive-custom-config-cm
---
kind: Service
apiVersion: v1
metadata:
labels:
app: hive
name: hive-service
spec:
ports:
- port: 10000
targetPort: 10000
name: thrift
- port: 10002
targetPort: 10002
name: webui
- port: 9083
targetPort: 9083
name: metastore
selector:
app: hive
type: NodePort
两个奇怪的bug:
部署好之后,我们可以进pod查看一下hive的日志,像我碰到一个情况就是,hive能用,可以查数据库列表,表列表,但不能插入数据,看pod日志发现报错,重启pod时,再次初始化出现错误Error: Table ‘CTLGS‘ already exists (state=42S01,code=1050),需要进入mysql,删除metastore这个库,再重启hive的pod进行初始化。如果再次进入hive时,不能执行命令,报错java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.Session,表示metastore没重启成功,需要进入hive的pod手动执行一下hive --service metastore &。
不能插入数据的问题,后来发现是没有配置hdfs的地址,在yaml里面加上这个配置就没问题了!必要的配置项一定不能漏掉!!不然就会出现本地能查到数据,但hdfs中查不到的情况,这样换一台机器就不能用了!
五、验证
登录ui界面,可以验证是否成功。

六、客户端使用hive
- 验证jdk,通过
java -version验证已安装jdk,但没有设置JAVA_HOME,vi ~/.bashrc,设置一下JAVA_HOME,export JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64,再source ~/.bashrc让其生效,再次验证,jdk版本只能是8,如果是别的版本,记得更换;jdk最好是用java8,如果版本不对,可以先卸载,再安装正确的版本,再设置环境变量。如果不想总修改环境变量,那么设置/etc/profile比设置~/.bashrc更好。 - 下载hive,跟服务端下载同一个版本:https://mirrors.aliyun.com/apache/hive/hive-3.1.3/apache-hive-3.1.3-bin.tar.gz
- 解压,
tar -zxvf apache-hive-3.1.3-bin.tar.gz - 编辑配置项:
cd apache-hive-3.1.3-bin/conf
vi hive-site.xml
把下面的配置项粘到hive-site.xml:
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>hive.metastore.warehouse.dir</name>
<value>/user/hive/warehouse</value>
</property>
<property>
<name>hive.metastore.local</name>
<value>false</value>
</property>
<property>
<name>hive.metastore.uris</name>
<value>thrift://hive-service.default:9083</value>
</property>
</configuration>
- 配置hive的环境变量
vi /etc/profile
export HIVE_HOME=/mnt/admin/apache-hive-3.1.3-bin
export HADOOP_HOME=/mnt/admin/hadoop-3.3.6
export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64/jre
export HADOOP_CONF_DIR=/mnt/admin/hadoop-3.3.6/etc/hadoop
export PATH=$PATH::$HIVE_HOME/bin:$HADOOP_HOME/bin:$JAVA_HOME/bin
source /etc/profile
环境变量写在/etc/profile更好,因为~/.bashrc是临时的,重启一下pod就复原了,但/etc/profile是全局的,避免一直要重复设置。
- 配置hadoop的yarn
把/mnt/admin/hadoop-3.3.6/etc/hadoop/yarn-site.xml配置成以下这样:
<configuration>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>hadoop-hadoop-yarn-rm-0.hadoop-hadoop-yarn-rm.default</value>
</property>
<property>
<name>yarn.resourcemanager.address</name>
<value>hadoop-hadoop-yarn-rm-0.hadoop-hadoop-yarn-rm.default:8032</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>hadoop-hadoop-yarn-rm-0.hadoop-hadoop-yarn-rm.default:8030</value>
</property>
<property>
<name>yarn.nodemanager.env-whitelist</name>
<value>JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_HOME,PATH,LANG,TZ,HADOOP_MAPRED_HOME</value>
</property>
</configuration>
操作完之后,执行hive,可以进入就算成功。

执行hive时可能出现一个错误:
Caused by: com.ctc.wstx.exc.WstxParsingException: Illegal character entity: expansion character (code 0x8
at [row,col,system-id]: [3219,96,"file:/mnt/admin/apache-hive-3.1.3-bin/conf/hive-site.xml"],
这是因为xml模板中有个特殊字符,找到对应位置,去掉即可;
测试语句示例:
CREATE TABLE test(
name string,
num int)
PARTITIONED BY (`date` string)
ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' stored as textfile;
insert into test partition (`date`='20240523') (name,num) values ('cdl',100);
insert into test partition (`date`='20240522') (name,num) values ('cdl',100);
看是否能正确建表,正确插入数据,正确查询,hdfs中也能正确显示。
参考地址
https://www.cnblogs.com/liugp/p/16747557.html#1%E6%9E%84%E5%BB%BA%E9%95%9C%E5%83%8F
https://blog.csdn.net/chenleiking/article/details/82492282
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