Presto使用Docker独立运行Hive Standalone Metastore管理MinIO（S3）

本文涉及的组件及其版本：

如果您还未安装Minio，可参考：https://min.io/download

构建Dockerfile

Hive MetaStore需要以关系型数据库作为元数据管理，本文以MySQL为例，作为元数据存储。

• MySQL版本：5.7.35
• hostname：192.168.1.15
• port：3306
• username：root
• password：Pass-123-root
• database：metastore

除此之外，在上文中我们说到，要用此Hive MetaStore作为MinIO的元数据管理，所以您还需配置MinIO的配置信息：

• fs.s3a.endpoint：http://192.168.1.15:9000
• fs.s3a.path.style.access：true
• fs.s3a.connection.ssl.enabled：false
• fs.s3a.access.key：minio
• fs.s3a.secret.key：minio123

以上述配置信息构建Hive Metastore的配置信息，metastore-site.xml

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
    <property>
        <name>fs.s3a.access.key</name>
        <value>M6ZBZGI1IIDA1O130OP8</value>
    </property>
    <property>
        <name>fs.s3a.secret.key</name>
        <value>f0BSwBw5GLKSS8hpIZd+qhJBIKooqq7xQdiowhpy</value>
    </property>
    <property>
        <name>fs.s3a.connection.ssl.enabled</name>
        <value>false</value>
    </property>
    <property>
        <name>fs.s3a.path.style.access</name>
        <value>true</value>
    </property>
    <property>
        <name>fs.s3a.endpoint</name>
        <value>http://192.168.1.15:9000</value>
    </property>
    <property>
        <name>javax.jdo.option.ConnectionURL</name>
        <value>jdbc:mysql://192.168.1.15:3306/metastore?useSSL=false&amp;serverTimezone=UTC</value>
    </property>
    <property>
        <name>javax.jdo.option.ConnectionDriverName</name>
        <value>com.mysql.jdbc.Driver</value>
    </property>
    <property>
        <name>javax.jdo.option.ConnectionUserName</name>
        <value>root</value>
    </property>
    <property>
        <name>javax.jdo.option.ConnectionPassword</name>
        <value>m98Edicines</value>
    </property>
    <property>
        <name>hive.metastore.event.db.notification.api.auth</name>
        <value>false</value>
    </property>
    <property>
        <name>metastore.thrift.uris</name>
        <value>thrift://localhost:9083</value>
        <description>Thrift URI for the remote metastore. Used by metastore client to connect to remote metastore.</description>
    </property>
    <property>
        <name>metastore.task.threads.always</name>
        <value>org.apache.hadoop.hive.metastore.events.EventCleanerTask</value>
    </property>
    <property>
        <name>metastore.expression.proxy</name>
        <value>org.apache.hadoop.hive.metastore.DefaultPartitionExpressionProxy</value>
    </property>
    <property>
        <name>metastore.warehouse.dir</name>
        <value>/user/hive/warehouse</value>
    </property>
</configuration>

在构建Hive Metastore镜像时，你还需要下载如下安装包以及JAR包：

• hive-standalone-metastore-3.1.2-bin.tar.gz
• hadoop-3.2.2.tar.gz
• mysql-connector-java-5.1.49.jar

本文以将上述软件包放置于HTTP服务器为例：

全部Dockerfile为：

FROM centos:centos7

RUN yum install -y wget java-1.8.0-openjdk-devel && yum clean all

ARG HTTP_SERVER_HOSTNAME_PORT=192.168.1.15:11180

WORKDIR /install

RUN wget http://${HTTP_SERVER_HOSTNAME}/downloads/hive-standalone-metastore-3.1.2-bin.tar.gz
RUN tar zxvf hive-standalone-metastore-3.1.2-bin.tar.gz
RUN rm -rf hive-standalone-metastore-3.1.2-bin.tar.gz
RUN mv apache-hive-metastore-3.1.2-bin metastore

RUN wget http://${HTTP_SERVER_HOSTNAME}/downloads/hadoop-3.2.2.tar.gz
RUN tar zxvf hadoop-3.2.2.tar.gz
RUN rm -rf hadoop-3.2.2.tar.gz
RUN mv hadoop-3.2.2 hadoop

RUN wget http://${HTTP_SERVER_HOSTNAME}/downloads/mysql-connector-java-5.1.49.jar
RUN cp mysql-connector-java-5.1.49.jar ./metastore/lib

ENV JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk
ENV HADOOP_HOME=/install/hadoop

RUN rm -f /install/metastore/lib/guava-19.0.jar \
  && cp ${HADOOP_HOME}/share/hadoop/common/lib/guava-27.0-jre.jar /install/metastore/lib \
  && cp ${HADOOP_HOME}/share/hadoop/tools/lib/hadoop-aws-3.2.2.jar /install/metastore/lib \
  && cp ${HADOOP_HOME}/share/hadoop/tools/lib/aws-java-sdk-bundle-*.jar /install/metastore/lib

# copy Hive metastore configuration file
COPY metastore-site.xml /install/metastore/conf/

# Hive metastore data folder
VOLUME ["/user/hive/warehouse"]

WORKDIR /install/metastore

RUN bin/schematool -initSchema -dbType mysql

CMD ["/install/metastore/bin/start-metastore"]

构建Docker镜像

将metastore-site.xml与Dockerfile文件放置于同一个目录下，并进入该目录中执行：

docker build . -t minio-hive-standalone-metastore:v1.0

运行Hive Metastore

docker run -d -p 9083:9083/tcp --name minio-hive-metastore minio-hive-standalone-metastore:v1.0

使用Presto测试Hive Metastore

如果您还没有安装好Presto，请先按照文档https://blog.csdn.net/weixin_39636364/article/details/120518455对catalog配置进行如下修改，并启动presto server

connector.name=hive-hadoop2

hive.metastore.uri=thrift://URL:9083
hive.metastore.username=metastore

hive.s3.aws-access-key=minio
hive.s3.aws-secret-key=minio123
hive.s3.endpoint=http://URL:9000
hive.s3.path-style-access=true

进入presto cli，查看catalogs：

show catalogs;

得到：

创建schema：

已知我们在MinIO上有一个hive-storage的buckets，那么执行如下命令创建schema

create schema hive.hive_storage with (location = 's3a://hive-storage/');

在该schema中创建表：

CREATE TABLE hive.hive_storage.sample_table (
   col1 varchar, 
   col2 varchar);

在表中插入数据

insert into hive.hive_storage.sample_table select 'value1', 'value2';

数据查询：

select * from hive.hive_storage.sample_table;

全部操作结果为：