[大数据] 基于GBase8s和Calcite的多数据源查询

开发: C++知识库 Java知识库 JavaScript Python PHP知识库人工智能区块链大数据移动开发嵌入式开发工具数据结构与算法开发测试游戏开发网络协议系统运维
教程: HTML教程 CSS教程 JavaScript教程 Go语言教程 JQuery教程 VUE教程 VUE3教程 Bootstrap教程 SQL数据库教程 C语言教程 C++教程 Java教程 Python教程 Python3教程 C#教程
数码: 电脑笔记本显卡显示器固态硬盘硬盘耳机手机 iphone vivo oppo 小米华为单反装机图拉丁

-> 大数据 -> 基于GBase8s和Calcite的多数据源查询 -> 正文阅读

[大数据]基于GBase8s和Calcite的多数据源查询

在本文中，我们将实践 GBase8s 和 MySQL 的跨数据源联合查询，案例中 MySQL 数据源中存放商品信息，GBase8s 数据源中存放订单信息。整体架构如下
在这里插入图片描述

好了，我们开始吧。

环境准备

GBase8s

安装镜像 docker pull liaosnet/gbase8s
启动容器 docker run -itd -p 19088:9088 liaosnet/gbase8s
容器基本信息：

JDBC JAR：/home/gbase/gbasedbtjdbc_3.3.0_2.jar
类名：com.gbasedbt.jdbc.Driver
URL：jdbc:gbasedbt-sqli://IPADDR:19088/testdb:GBASEDBTSERVER=gbase01;DB_LOCALE=zh_CN.utf8;CLIENT_LOCALE=zh_CN.utf8;IFX_LOCK_MODE_WAIT=30;
用户：gbasedbt
密码：GBase123
其中：IPADDR为docker所在机器的IP地址，同时需要放通19088端口。

MySQL

安装镜像 docker pull liaosnet/gbase8s
启动容器 docker run -p 3306:3306 --name mysql -e MYSQL_ROOT_PASSWORD=dafei1288 -d mysql

数据准备

GBase8s

CREATE TABLE order_table (
	oid INTEGER NOT NULL,
	iid INTEGER,
	icount INTEGER,
	PRIMARY KEY (oid) CONSTRAINT order_table_pk
);

INSERT INTO order_table (oid, iid, icount) VALUES(1, 1, 10);
INSERT INTO order_table (oid, iid, icount) VALUES(2, 3, 30);

MySQL

create table item
(
    i_id    int auto_increment
        primary key,
    catalog varchar(20) null,
    pname   varchar(20) null,
    price   float       null,
    constraint item_i_id_uindex
        unique (i_id)
);

INSERT INTO test.item (i_id, catalog, pname, price) VALUES (1, '游戏', '大航海时代IV', 300);
INSERT INTO test.item (i_id, catalog, pname, price) VALUES (2, '游戏', '马车8', 300);
INSERT INTO test.item (i_id, catalog, pname, price) VALUES (3, '食品', '青椒豆腐乳西瓜', 20);

工程准备

创建 maven 工程，目录如下图所示:
在这里插入图片描述

添加依赖

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>org.example</groupId>
    <artifactId>calcite_multi_database</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <maven.compiler.source>17</maven.compiler.source>
        <maven.compiler.target>17</maven.compiler.target>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.apache.calcite</groupId>
            <artifactId>calcite-core</artifactId>
            <version>1.29.0</version>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.28</version>
        </dependency>
        <dependency>
            <groupId>com.google.code.gson</groupId>
            <artifactId>gson</artifactId>
            <version>2.8.9</version>
        </dependency>
        <dependency>
            <groupId>gbase</groupId>
            <artifactId>gbasedbt</artifactId>
            <version>330</version>
            <scope>system</scope>
            <systemPath>${project.basedir}/libs/gbasedbtjdbc_3.3.0_2_36477d.jar</systemPath>
        </dependency>
    </dependencies>
</project>

添加数据源配置文件 `multiSource.json`

{
  "defaultSchema": "gbasedbt",
  "schemas": [
    {
      "factory": "org.apache.calcite.adapter.jdbc.JdbcSchema$Factory",
      "name": "mysql",
      "operand": {
        "jdbcDriver": "com.mysql.cj.jdbc.Driver",
        "jdbcUrl": "jdbc:mysql://localhost:3306/test",
        "jdbcUser": "root",
        "jdbcPassword": "dafei1288"
      },
      "type": "custom"
    },
    {
      "factory": "org.apache.calcite.adapter.jdbc.JdbcSchema$Factory",
      "name": "gbasedbt",
      "operand": {
        "jdbcDriver": "com.gbasedbt.jdbc.Driver",
        "jdbcUrl": "jdbc:gbasedbt-sqli://localhost:19088/testdb:GBASEDBTSERVER=gbase01;DB_LOCALE=zh_CN.utf8;CLIENT_LOCALE=zh_CN.utf8;IFX_LOCK_MODE_WAIT=30;",
        "jdbcUser": "gbasedbt",
        "jdbcPassword": "GBase123"
      },
      "type": "custom"
    }
  ],
  "version": "1.0"
}

创建执行程序 `MultiSource`

使用上面的配置文件，创建 Calcite Jdbc 链接

String filepath = "E:\\working\\GBase\\writting\\calcite_multi_database_select\\calcite_multi_database\\src\\main\\resources\\multiSource.json";
Properties config = new Properties();
config.put("model",filepath);
config.put("lex", "MYSQL");

这里 config.put("lex", "MYSQL"); 用于解析外层 SQL ，所以必须保留。使用查询语句 SELECT o.oid,o.iid,o.icount,i.catalog,i.pname,i.price FROM gbasedbt.order_table AS o join mysql.item AS i on o.iid = i.i_id 进行数据查询。

除了执行结果，其实我们也会对执行的逻辑计划感兴趣，那么我们来看看如何将该 SQL 的逻辑计划打印出来

public static void printLogicPlan(String modelPath , String sql) throws Exception{

        String modelJsonStr = Files.readAllLines(Paths.get(modelPath)).stream().collect(Collectors.joining("\n"));
        HashMap map = new Gson().fromJson(modelJsonStr, HashMap.class);
        List<Map> schemas = (List<Map>) map.get("schemas");

        SchemaPlus rootSchema = Frameworks.createRootSchema(true);
        Schema gbasedbt = JdbcSchema.create(rootSchema, "gbasedbt" , (Map<String,Object>)schemas.get(1).get("operand"));
        Schema mysql = JdbcSchema.create(rootSchema, "mysql" , (Map<String,Object>)schemas.get(0).get("operand"));
        rootSchema.add("gbasedbt",gbasedbt);
        rootSchema.add("mysql",mysql);

        SqlParser.Config insensitiveParser = SqlParser.configBuilder()
                .setCaseSensitive(false)
                .build();

        FrameworkConfig config = Frameworks.newConfigBuilder()
                .parserConfig(insensitiveParser)
                .defaultSchema(rootSchema)
                .build();

        Planner planner = Frameworks.getPlanner(config);
        SqlNode sqlNode = planner.parse(sql);
        SqlNode sqlNodeValidated = planner.validate(sqlNode);
        RelRoot relRoot = planner.rel(sqlNodeValidated);
        RelNode relNode = relRoot.project();

        System.out.println(sqlNode.toSqlString(MysqlSqlDialect.DEFAULT));
        System.out.println();
        System.out.println(relNode.explain());
}

下面是逻辑计划打印的结果，我们不难看出，这里是使用了2个全表扫描，然后再通过 Join 算子，然后进行 project算子的。其实这个执行不能说效率很高吧，只能说非常慢，如果想做优化，我们以后再开一篇文章。

LogicalProject(OID=[$0], IID=[$1], ICOUNT=[$2], CATALOG=[$4], PNAME=[$5], PRICE=[$6])
  LogicalJoin(condition=[=($1, $3)], joinType=[inner])
    JdbcTableScan(table=[[gbasedbt, order_table]])
    JdbcTableScan(table=[[mysql, item]])

SQL 查询结果如下

oid	iid	icount	catalog	pname	price	
1	1	10	游戏	大航海时代IV	300.0	
2	3	30	食品	青椒豆腐乳西瓜	20.0

执行截图
在这里插入图片描述

完整代码清单：

package wang.datahub;

import com.google.gson.Gson;
import org.apache.calcite.adapter.jdbc.JdbcSchema;
import org.apache.calcite.rel.RelNode;
import org.apache.calcite.rel.RelRoot;
import org.apache.calcite.rel.RelWriter;
import org.apache.calcite.rel.externalize.RelWriterImpl;
import org.apache.calcite.schema.Schema;
import org.apache.calcite.schema.SchemaPlus;
import org.apache.calcite.sql.SqlExplainLevel;
import org.apache.calcite.sql.SqlNode;
import org.apache.calcite.sql.dialect.MysqlSqlDialect;
import org.apache.calcite.sql.parser.SqlParser;
import org.apache.calcite.tools.FrameworkConfig;
import org.apache.calcite.tools.Frameworks;
import org.apache.calcite.tools.Planner;


import java.io.PrintWriter;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.sql.*;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import java.util.stream.Collectors;

public class MultiSource {
    public static void main(String[] args)  throws Exception{
        String filepath = "E:\\working\\GBase\\writting\\calcite_multi_database_select\\calcite_multi_database\\src\\main\\resources\\multiSource.json";
        Properties config = new Properties();
        config.put("model",filepath);
        config.put("lex", "MYSQL");
        String sql =
                "SELECT o.oid,o.iid,o.icount,i.catalog,i.pname,i.price FROM gbasedbt.order_table AS o join mysql.item AS i on o.iid = i.i_id";

        try (Connection con = DriverManager.getConnection("jdbc:calcite:", config)) {
            try (Statement stmt = con.createStatement()) {
                try (ResultSet rs = stmt.executeQuery(sql)) {
                    //打印逻辑计划
                    printLogicPlan(filepath,sql);
                    //打印查询结果
                    printRs(rs);
                }
            }
        }

    }

    public static void printRs(ResultSet rs) throws Exception {
        ResultSetMetaData rsmd = rs.getMetaData();
        int count = rsmd.getColumnCount();

        for(int i = 1; i <= count; i++){
            System.out.print(rsmd.getColumnName(i)+"\t");
        }
        System.out.println();

        while(rs.next()){
            for(int i = 1; i <= count; i++){
                System.out.print(rs.getString(i)+"\t");
            }
            System.out.println();
        }
    }

    public static void printLogicPlan(String modelPath , String sql) throws Exception{

        String modelJsonStr = Files.readAllLines(Paths.get(modelPath)).stream().collect(Collectors.joining("\n"));
        HashMap map = new Gson().fromJson(modelJsonStr, HashMap.class);
        List<Map> schemas = (List<Map>) map.get("schemas");

        SchemaPlus rootSchema = Frameworks.createRootSchema(true);
        Schema gbasedbt = JdbcSchema.create(rootSchema, "gbasedbt" , (Map<String,Object>)schemas.get(1).get("operand"));
        Schema mysql = JdbcSchema.create(rootSchema, "mysql" , (Map<String,Object>)schemas.get(0).get("operand"));
        rootSchema.add("gbasedbt",gbasedbt);
        rootSchema.add("mysql",mysql);

        SqlParser.Config insensitiveParser = SqlParser.configBuilder()
                .setCaseSensitive(false)
                .build();

        FrameworkConfig config = Frameworks.newConfigBuilder()
                .parserConfig(insensitiveParser)
                .defaultSchema(rootSchema)
                .build();

        Planner planner = Frameworks.getPlanner(config);
        SqlNode sqlNode = planner.parse(sql);
        SqlNode sqlNodeValidated = planner.validate(sqlNode);
        RelRoot relRoot = planner.rel(sqlNodeValidated);
        RelNode relNode = relRoot.project();

        System.out.println(sqlNode.toSqlString(MysqlSqlDialect.DEFAULT));
        System.out.println();
        System.out.println(relNode.explain());
    }
}