本篇文章为大家展示了数据库数据源监控的类型有哪些，内容简明扼要并且容易理解，绝对能使你眼前一亮，通过这篇文章的详细介绍希望你能有所收获。

创新互联作为成都网站建设公司，专注成都网站建设、网站设计，有关成都企业网站建设方案、改版、费用等问题，行业涉及成都发电机维修等多个领域，已为上千家企业服务，得到了客户的尊重与认可。

1.Druid监控

问题：
众所周知，alibaba druid提供了比较完善的数据库监控，但是也是有比较明显的劣势（比如：数据源的连接数等在监控页面只能看到那瞬间的值等），不能持久化监控以及和公司内部监控告警集成
解决：
通过内部druid监控方法

private class DruidStatsThread extends Thread {

    public DruidStatsThread(String name) {
        super(name);
        this.setDaemon(true);
    }

    @Override
    public void run() {
        long initialDelay = metricDruidProperties.getInitialDelay() * 1000;
        if (initialDelay > 0) {
            MwThreadUtil.sleep(initialDelay);
        }
        while (!this.isInterrupted()) {
            try {
                try {
                    Set druidDataSources =
                            DruidDataSourceStatManager.getDruidDataSourceInstances();
                    Optional.ofNullable(druidDataSources).ifPresent(val -> val.forEach(druidDataSource -> {
                        DruidDataSourceStatValue statValue = druidDataSource.getStatValueAndReset();
                        long maxWaitMillis = druidDataSource.getMaxWait();//最大等待时间
                        long waitThreadCount = statValue.getWaitThreadCount();//当前等待获取连接的线程数
                        long notEmptyWaitMillis = statValue.getNotEmptyWaitMillis();//获取连接时累计等待多长时间
                        long notEmptyWaitCount = statValue.getNotEmptyWaitCount();//获取连接时累计等待多少次'

                        int maxActive = druidDataSource.getMaxActive();//最大活跃数
                        int poolingCount = statValue.getPoolingCount();//当前连接池数
                        int poolingPeak = statValue.getPoolingPeak();//连接池峰值
                        int activeCount = statValue.getActiveCount();//当前活跃连接数
                        int activePeak = statValue.getActivePeak();//活跃数峰值

                        if (Objects.nonNull(statsDClient)) {
                            URI jdbcUri = parseJdbcUrl(druidDataSource.getUrl());
                            Optional.ofNullable(jdbcUri).ifPresent(val2 -> {
                                String host = StringUtils.replaceChars(val2.getHost(), '.', '_');
                                String prefix = METRIC_DRUID_PREFIX + host + '.' + val2.getPort() + '.';
                                statsDClient.recordExecutionTime(prefix + "maxWaitMillis", maxWaitMillis);
                                statsDClient.recordExecutionTime(prefix + "waitThreadCount", waitThreadCount);
                                statsDClient.recordExecutionTime(prefix + "notEmptyWaitMillis", notEmptyWaitMillis);
                                statsDClient.recordExecutionTime(prefix + "notEmptyWaitCount", notEmptyWaitCount);
                                statsDClient.recordExecutionTime(prefix + "maxActive", maxActive);
                                statsDClient.recordExecutionTime(prefix + "poolingCount", poolingCount);
                                statsDClient.recordExecutionTime(prefix + "poolingPeak", poolingPeak);
                                statsDClient.recordExecutionTime(prefix + "activeCount", activeCount);
                                statsDClient.recordExecutionTime(prefix + "activePeak", activePeak);
                            });
                        } else {
                            druidDataSource.logStats();
                        }
                    }));
                } catch (Exception e) {
                    logger.error("druid stats exception", e);
                }
                TimeUnit.SECONDS.sleep(metricDruidProperties.getStatsInterval());
            } catch (InterruptedException e) {
                Thread.currentThread().interrupt();
                logger.info("metric druid interrupt exit...");
            } catch (Exception e) {
                logger.error("metric druid exception...", e);
            }
        }
    }
}

private URI parseJdbcUrl(String url) {
    if (StringUtils.isBlank(url) || !StringUtils.startsWith(url, "jdbc:")) {
        return null;
    }
    String cleanURI = url.substring(5);
    return URI.create(cleanURI);
}

2.Hikari监控

问题：
针对Hikari数据源，没有统一的监控处理，但是，提供了JMX入口，同理，持久化在监控服务上
解决：

private class HikariStatsThread extends Thread {

    public HikariStatsThread(String name) {
        super(name);
        this.setDaemon(true);
    }

    @Override
    public void run() {
        long initialDelay = metricHikariProperties.getInitialDelay() * 1000;
        if (initialDelay > 0) {
            MwThreadUtil.sleep(initialDelay);
        }
        while (!this.isInterrupted()) {
            try {
                Optional.ofNullable(hikariDataSources).ifPresent(val -> val.forEach(hikariDataSource -> {
                    URI jdbcUri = parseJdbcUrl(hikariDataSource.getJdbcUrl());
                    Optional.ofNullable(jdbcUri).ifPresent(val2 -> {
                        String host = StringUtils.replaceChars(val2.getHost(), '.', '_');
                        String prefix = METRIC_HIKARI_PREFIX + host + '.' + val2.getPort() + '.';

                        PoolStatBean poolStatBean = PoolStatBean.builder().build();
                        HikariPoolMXBean hikariPoolMXBean = hikariDataSource.getHikariPoolMXBean();
                        Optional.ofNullable(hikariPoolMXBean).ifPresent(val3 -> {
                            int activeConnections = val3.getActiveConnections();
                            int idleConnections = val3.getIdleConnections();
                            int totalConnections = val3.getTotalConnections();
                            int threadsAwaitingConnection = val3.getThreadsAwaitingConnection();
                            poolStatBean.setActiveConnections(activeConnections);
                            poolStatBean.setIdleConnections(idleConnections);
                            poolStatBean.setTotalConnections(totalConnections);
                            poolStatBean.setThreadsAwaitingConnection(threadsAwaitingConnection);
                        });
                        HikariConfigMXBean hikariConfigMXBean = hikariDataSource.getHikariConfigMXBean();
                        Optional.ofNullable(hikariConfigMXBean).ifPresent(val3 -> {
                            int maximumPoolSize = val3.getMaximumPoolSize();
                            int minimumIdle = val3.getMinimumIdle();
                            poolStatBean.setMaximumPoolSize(maximumPoolSize);
                            poolStatBean.setMinimumIdle(minimumIdle);
                        });
                        statsPool(prefix, poolStatBean);
                    });
                }));
                TimeUnit.SECONDS.sleep(metricHikariProperties.getStatsInterval());
            } catch (InterruptedException e) {
                Thread.currentThread().interrupt();
                logger.info("metric hikari interrupt exit...");
            } catch (Exception e) {
                logger.error("metric hikari exception...", e);
            }
        }
    }
}

private void statsPool(String prefix, PoolStatBean poolStatBean) {
    if (Objects.nonNull(statsDClient)) {
        statsDClient.recordExecutionTime(prefix + "activeConnections", poolStatBean.getActiveConnections());
        statsDClient.recordExecutionTime(prefix + "idleConnections", poolStatBean.getIdleConnections());
        statsDClient.recordExecutionTime(prefix + "totalConnections", poolStatBean.getTotalConnections());
        statsDClient.recordExecutionTime(prefix + "threadsAwaitingConnection",
                poolStatBean.getThreadsAwaitingConnection());
        statsDClient.recordExecutionTime(prefix + "maximumPoolSize", poolStatBean.getMaximumPoolSize());
        statsDClient.recordExecutionTime(prefix + "minimumIdle", poolStatBean.getMinimumIdle());
        return;
    }
    StringBuilder sBuilder = new StringBuilder(16);
    sBuilder.append(prefix + "activeConnections => [" + poolStatBean.getActiveConnections() + "],");
    sBuilder.append(prefix + "idleConnections => [" + poolStatBean.getIdleConnections() + "],");
    sBuilder.append(prefix + "totalConnections => [" + poolStatBean.getTotalConnections() + "],");
    sBuilder.append(prefix + "threadsAwaitingConnection => [" + poolStatBean.getThreadsAwaitingConnection() + "],");
    sBuilder.append(prefix + "maximumPoolSize => [" + poolStatBean.getMaximumPoolSize() + "],");
    sBuilder.append(prefix + "minimumIdle => [" + poolStatBean.getMinimumIdle() + "]");
    logger.info(sBuilder.toString());
}

private URI parseJdbcUrl(String url) {
    if (StringUtils.isBlank(url) || !StringUtils.startsWith(url, "jdbc:")) {
        return null;
    }
    String cleanURI = url.substring(5);
    return URI.create(cleanURI);
}

@Data
@Builder
private static class PoolStatBean {
    private int activeConnections;
    private int idleConnections;
    private int totalConnections;
    private int threadsAwaitingConnection;
    private int maximumPoolSize;
    private int minimumIdle;
}

注：以上只是提供一种解决方案

上述内容就是数据库数据源监控的类型有哪些，你们学到知识或技能了吗？如果还想学到更多技能或者丰富自己的知识储备，欢迎关注创新互联行业资讯频道。

网站题目：数据库数据源监控的类型有哪些
文章地址：http://kswjz.com/article/pochog.html