简单代码中的内存泄漏？在任何地方都找不到答案

Question

此代码逐渐消耗内存，从大约130 MB开始（由于依赖性），并在我必须杀死它并重新启动它（因为服务器内存不足）之前不断爬升到800 + MB。它与OpenJDK 11一起运行。我有一个旧版本的代码运行在Java 8服务器上，其内存使用率保持稳定并且永远不会增加。所以我不确定它是否与新的JDK有关？我在这里修改了相当多的代码，以确保它尽可能简单 - 但仍然有问题。基本要点 - 它是否每隔几秒钟查询一次数据库以查找待处理的发票。但是，没有待处理的发票（日志也证明了这一点），因此它永远不会进入复杂的代码位置，而只会每隔几秒钟继续重复一次。public static void main(String[] args) {    ...    final int interval = Constants.INTERVAL;    QuickBooksInvoices qbInvoices = new QuickBooksInvoices(filename);    qbInvoices.testConnection();    log.log(Level.INFO, "Checking invoices with an interval of " + interval + " seconds...");    while (isRunning == true) {        qbInvoices.process();        try {            Thread.sleep(interval * 1000);        } catch (InterruptedException e) {        }    }}public void process() {    errorBuffer.clear();  // These are array lists    successBuffer.clear(); // These are array lists    try (Connection conn = DriverManager.getConnection(dbURI, dbUser, dbPassword)) {        ArrayList<com.xxx.quickbooks.model.wdg.Invoice> a = getInvoices(conn);        OAuthToken token = null;        if (a.size() > 0) {            // Never gets here - no results        }        for (com.xxx.quickbooks.model.wdg.Invoice invoice : a) {            // Never gets here - no results        }    } catch (Exception e) {                writeLog(Level.ERROR, ExceptionUtils.getStackTrace(e));    }}private ArrayList<com.xxx.quickbooks.model.wdg.Invoice> getInvoices(Connection conn) {    ArrayList<com.xxx.quickbooks.model.wdg.Invoice> invoices = new ArrayList<com.xxx.quickbooks.model.wdg.Invoice>();      String sql =         "select " +        "id," +        "type," +        "status," +        "business_partner_id," +        "invoice_number," +        "total," +        "nrc," +        "szrc," +        "trans_ts," +        "warehouse_id," +        "due_date," +        "ref_number," +        "payment_type " +        "FROM dv_invoice " +        "WHERE exported_ts is NULL AND exported_msg is NULL ; ";

Answer 1

驱动程序可能会产生内存泄漏。我在 Unify SQL 数据库上遇到了这个问题。将驱动程序更新到最新版本。

在postgres中看到这一点