feat(syslog): 完成高吞吐可靠链路与统计存储优化

- 新增接入 WAL、检查点、背压恢复及可靠分发机制,完善 Kafka 幂等发布、分区、重试、DLT 和补偿流程
- 引入规则预编译、批内快照及 JetCache/Caffeine 两级缓存,支持缓存失效广播、影子对账和执行指标
- 升级 InfluxDB V2 原始日志模型,统一接收时间与 Point 时间,支持按日 measurement、UUID 分桶及 V1/V2 双读
- 重构达梦标准化批量写入与统计链路,支持事务内直写、增量投影、幂等控制、窗口水位和日期切换
- 完善告警处理、配置校验、运行监控及测试覆盖
This commit is contained in:
王绍宏
2026-08-20 00:18:33 +08:00
parent a3852fc0f9
commit 29445c6825
303 changed files with 20419 additions and 4481 deletions
@@ -1,147 +0,0 @@
package com.haobang.config;
import com.typesafe.config.Config;
import com.typesafe.config.ConfigFactory;
import java.io.File;
import com.typesafe.config.ConfigValueFactory;
import java.nio.charset.Charset;
import java.util.Map;
public class AppConfig {
private static final Config config;
static {
// 加载配置文件
File configFile = new File("application.properties");
Config loadedConfig;
if (configFile.exists()) {
loadedConfig = ConfigFactory.parseFile(configFile);
} else {
loadedConfig = ConfigFactory.load("application.properties");
}
// 解析环境变量占位符
config = resolveEnvironmentVariables(loadedConfig);
}
/**
* 解析环境变量占位符
*/
private static Config resolveEnvironmentVariables(Config originalConfig) {
Config resolvedConfig = originalConfig;
// 遍历所有配置项,查找需要解析的占位符
for (Map.Entry<String, com.typesafe.config.ConfigValue> entry : originalConfig.entrySet()) {
String key = entry.getKey();
String value = originalConfig.getString(key);
if (value.contains("${")) {
String resolvedValue = resolvePlaceholder(value);
resolvedConfig = resolvedConfig.withValue(
key,
ConfigValueFactory.fromAnyRef(resolvedValue)
);
}
}
return resolvedConfig;
}
/**
* 解析单个占位符值
* 格式: ${ENV_VAR:default_value}
*/
private static String resolvePlaceholder(String value) {
if (!value.startsWith("${") || !value.endsWith("}")) {
return value;
}
String placeholder = value.substring(2, value.length() - 1);
String[] parts = placeholder.split(":");
if (parts.length == 0) {
return value; // 无效格式,返回原值
}
String envVarName = parts[0].trim();
String defaultValue = parts.length > 1 ? parts[1].trim() : "";
// 1. 从系统环境变量获取
String envValue = System.getenv(envVarName);
if (envValue != null && !envValue.trim().isEmpty()) {
return envValue.trim();
}
// 2. 从系统属性获取 (java -D参数)
String sysValue = System.getProperty(envVarName);
if (sysValue != null && !sysValue.trim().isEmpty()) {
return sysValue.trim();
}
// 3. 返回默认值
return defaultValue;
}
// Syslog 配置
public static int getSyslogTcpPort() {
return config.getInt("syslog.tcp.port");
}
public static int getSyslogUdpPort() {
return config.getInt("syslog.udp.port");
}
public static int getSyslogMaxFrameLength() {
return config.getInt("syslog.max.frame.length");
}
public static int getSyslogBufferSize() {
return config.getInt("syslog.buffer.size");
}
/**
* syslog 消息字符编码,默认 GBK(国内安全设备普遍使用 GBK)
* 配置示例: syslog.charset=GBK
*/
public static Charset getSyslogCharset() {
if (config.hasPath("syslog.charset")) {
return Charset.forName(config.getString("syslog.charset"));
}
return Charset.forName("GBK");
}
// app service 配置
public static String getAppServieDeviceId() {
return config.getString("app.service.device_id");
}
public static String getAppServieDeviceName() { return config.getString("app.service.device_name");
}
public static String getAppServieVendor() {
return config.getString("app.service.vendor");
}
public static String getAppServieProductName() {
return config.getString("app.service.product_name");
}
public static String getAppServieDataType() {
return config.getString("app.service.data_type");
}
// kafka 配置
public static String getKafkaProducerBootstrap() {
return config.getString("spring.kafka.producer.bootstrap-servers");
}
public static String getKafkaProducerTopic() {
return config.getString("spring.kafka.producer.topic");
}
public static int getDeviceCollectId() {
return config.getInt("app.service.device_collect_id");
}
public static String getSM4Key() {
return config.getString("syslog.sm4.generateKey");
}
}
@@ -5,7 +5,7 @@ import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
/**
* 应用配置属性 - 替代静态 AppConfig(syslog-serve 模块)
* syslog-serve 统一应用配置属性
* 使用 Spring Boot 标准 @Value 机制,支持 docker-compose 环境变量覆盖
*/
@Data
@@ -25,9 +25,110 @@ public class AppProperties {
@Value("${syslog.buffer.size:1024}")
private int syslogBufferSize;
@Value("${syslog.tcp.backlog:4096}")
private int syslogTcpBacklog;
@Value("${syslog.tcp.receive-buffer-bytes:4194304}")
private int syslogTcpReceiveBufferBytes;
@Value("${syslog.udp.receive-buffer-bytes:16777216}")
private int syslogUdpReceiveBufferBytes;
@Value("${syslog.charset:GBK}")
private String syslogCharset;
// ========== 接入 WAL 配置 ==========
/** WAL 是 Kafka 接管前的可靠性边界,正式链路不允许关闭。 */
@Value("${syslog.wal.enabled:true}")
private boolean syslogWalEnabled;
/** 必须挂载到宿主机持久化磁盘;兼容原归档目录环境变量。 */
@Value("${syslog.wal.directory:${SYSLOG_WAL_DIRECTORY:${SYSLOG_RAW_ARCHIVE_DIRECTORY:/data/syslog-wal}}}")
private String syslogWalDirectory;
/** Netty 到 WAL 单写线程之间的有界队列。 */
@Value("${syslog.wal.queue-capacity:10000}")
private int syslogWalQueueCapacity;
@Value("${syslog.wal.high-watermark-percent:70}")
private int syslogWalHighWatermarkPercent;
@Value("${syslog.wal.low-watermark-percent:40}")
private int syslogWalLowWatermarkPercent;
@Value("${syslog.wal.retry-interval-ms:10}")
private long syslogWalRetryIntervalMs;
@Value("${syslog.wal.disk-retry-interval-ms:1000}")
private long syslogWalDiskRetryIntervalMs;
/** 累计记录数或时间达到任一条件即 force,Future 只在 force 后视为持久化。 */
@Value("${syslog.wal.flush-records:200}")
private int syslogWalFlushRecords;
@Value("${syslog.wal.flush-interval-ms:200}")
private long syslogWalFlushIntervalMs;
@Value("${syslog.wal.segment-max-bytes:268435456}")
private long syslogWalSegmentMaxBytes;
/** 已完成段的保留天数;0 表示不自动删除。 */
@Value("${syslog.wal.retention-days:0}")
private int syslogWalRetentionDays;
@Value("${syslog.wal.shutdown-timeout-ms:30000}")
private long syslogWalShutdownTimeoutMs;
/** ACK 游标允许批量刷盘;崩溃时最多重复投递该批,event_id 保证下游幂等。 */
@Value("${syslog.wal.checkpoint-flush-records:200}")
private int syslogWalCheckpointFlushRecords;
@Value("${syslog.wal.checkpoint-flush-interval-ms:200}")
private long syslogWalCheckpointFlushIntervalMs;
@Value("${syslog.wal.disk-high-watermark-percent:80}")
private int syslogWalDiskHighWatermarkPercent;
@Value("${syslog.wal.disk-critical-watermark-percent:90}")
private int syslogWalDiskCriticalWatermarkPercent;
@Value("${syslog.wal.min-free-bytes:10737418240}")
private long syslogWalMinFreeBytes;
/** 兼容部署阶段关闭;开启后新接入事件必须以 WAL schema v3 固化 point_time_ns。 */
@Value("${syslog.point-time.write-enabled:false}")
private boolean syslogPointTimeWriteEnabled;
// ========== WAL Dispatcher 配置 ==========
@Value("${syslog.dispatch.worker-threads:4}")
private int syslogDispatchWorkerThreads;
@Value("${syslog.dispatch.max-inflight:5000}")
private int syslogDispatchMaxInflight;
@Value("${syslog.dispatch.retry-backoff-ms:1000}")
private long syslogDispatchRetryBackoffMs;
@Value("${syslog.dispatch.shutdown-timeout-ms:30000}")
private long syslogDispatchShutdownTimeoutMs;
@Value("${syslog.device-context.cache-ttl-ms:300000}")
private long syslogDeviceContextCacheTtlMs;
@Value("${syslog.status-log-interval-ms:60000}")
private long syslogStatusLogIntervalMs;
// ========== 旧 v1 原文归档精确导入(默认关闭) ==========
@Value("${syslog.wal.legacy-import.enabled:false}")
private boolean syslogWalLegacyImportEnabled;
@Value("${syslog.wal.legacy-import.archive-directory:}")
private String syslogWalLegacyImportArchiveDirectory;
/** 一行可写一个 event_id,也可直接粘贴包含 event_id 的拒绝日志。 */
@Value("${syslog.wal.legacy-import.event-id-file:}")
private String syslogWalLegacyImportEventIdFile;
// ========== App Service 配置(探针设备信息)==========
@Value("${app.service.device_id:}")
private String appServiceDeviceId;
@@ -47,6 +148,9 @@ public class AppProperties {
@Value("${app.service.device_collect_id:1}")
private int appServiceDeviceCollectId;
@Value("${app.service.device_collect_name:DevCollect-01}")
private String appServiceDeviceCollectName;
// ========== Kafka Producer 配置 ==========
@Value("${spring.kafka.producer.bootstrap-servers:localhost:9092}")
private String kafkaProducerBootstrap;
@@ -54,6 +158,9 @@ public class AppProperties {
@Value("${spring.kafka.producer.topic:agent-syslog-topic}")
private String kafkaProducerTopic;
@Value("${spring.kafka.producer.ack-timeout-ms:130000}")
private long kafkaProducerAckTimeoutMs;
// ========== SM4 加密配置 ==========
@Value("${syslog.sm4.generateKey:}")
private String sm4Key;