java - Spark Java 框架中的连接池

Question

Java Spark 框架使用嵌入式 Jetty 作为 Web 服务器。Jetty 支持使用 HikariCP 和提供 configuration options在 XML 文件中。然而，根据至 these posts , Spark 允许配置 Jetty。有很多使用 Spark 的例子，但他们要么不使用数据库或使用 DriverManager 连接到数据库。

是否可以通过数据源配置连接池和 Spark 中的 JNDI？如果是，怎么办？

Answer 1

我在 Spark Java 中为 MariaDB 配置了 HikariCP 池。我没有使用 Jetty，而是使用了 Apache Tomcat。以下是一些代码片段:

src/main/resources/mysql-connection.properties

dataSourceClassName=com.mysql.jdbc.jdbc2.optional.MysqlDataSource
dataSource.url=<url>
dataSource.user=<user>
dataSource.password=<password>
dataSource.cachePrepStmts=true
dataSource.prepStmtCacheSize=100
dataSource.prepStmtCacheSqlLimit=2048
dataSource.useServerPrepStmts=true
maximumPoolSize=10

com/example/app/DataSourceFactory.java

public final class DataSourceFactory {

    static final Logger LOG = LoggerFactory.getLogger(DataSourceFactory.class);

    private static DataSource mySQLDataSource;

    private DataSourceFactory() {
    }

    //returns javax.sql.DataSource
    public static DataSource getMySQLDataSource() {
        if (mySQLDataSource == null) {
            synchronized (DataSourceFactory.class) {
                if (mySQLDataSource == null) {
                    mySQLDataSource = getDataSource("mysql-connection.properties");
                }
            }
        }
        return mySQLDataSource;
    }

    // method to create the DataSource based on configuration
    private static DataSource getDataSource(String configurationProperties) {
        Properties conf = new Properties();
        try {
            conf.load(DataSourceFactory.class.getClassLoader().getResourceAsStream(configurationProperties));
        } catch (IOException e) {
            LOG.error("Can't locate database configuration", e);
        }
        HikariConfig config = new HikariConfig(conf);
        HikariDataSource dataSource = new HikariDataSource(config);
        LOG.info("DataSource[" + configurationProperties + "] created " + dataSource);
        return dataSource;
    }

}

WebContent/WEB-INF/web.xml

<?xml version="1.0" encoding="UTF-8"?>
<web-app xmlns="http://xmlns.jcp.org/xml/ns/javaee" 
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
    xsi:schemaLocation="http://xmlns.jcp.org/xml/ns/javaee                              
    http://xmlns.jcp.org/xml/ns/javaee/web-app_3_1.xsd" version="3.1">

    <display-name>My Spark App</display-name>
    <filter>
        <filter-name>SparkFilter</filter-name>
        <filter-class>spark.servlet.SparkFilter</filter-class>
        <init-param>
            <param-name>applicationClass</param-name>
            <param-value>com.example.app.MySparkApp</param-value>
            <!-- MySparkApp implements spark.servlet.SparkApplication -->
        </init-param>
    </filter>
    <filter-mapping>
        <filter-name>SparkFilter</filter-name>
        <url-pattern>/*</url-pattern>
    </filter-mapping>
    <listener>
        <listener-class>com.example.app.AppServletContextListener</listener-class>
    </listener>
</web-app>

com/example/app/AppServletContextListener.java

public class AppServletContextListener implements ServletContextListener {

    static final Logger LOG = LoggerFactory.getLogger(AppServletContextListener.class);

    @Override
    public void contextInitialized(ServletContextEvent arg0) {
        LOG.info("contextInitialized...");
    }

    @Override
    public void contextDestroyed(ServletContextEvent arg0) {
        LOG.info("contextDestroyed...");
        try {
            if (DataSourceFactory.getMySQLDataSource() != null) {
                DataSourceFactory.getMySQLDataSource().unwrap(HikariDataSource.class).close();
            }

        } catch (SQLException e) {
            LOG.error("Problem closing HikariCP pool", e);
        }

    }

}

最后，您可以通过调用 DataSourceFactory.getMySQLDataSource().getConnection() 获得池化的 java.sql.Connection