备份

.gitignore

@@ -0,0 +1,39 @@
+target/
+!.mvn/wrapper/maven-wrapper.jar
+!**/src/main/**/target/
+!**/src/test/**/target/
+
+### IntelliJ IDEA ###
+.idea
+.idea/modules.xml
+.idea/jarRepositories.xml
+.idea/compiler.xml
+.idea/libraries/
+*.iws
+*.iml
+*.ipr
+
+### Eclipse ###
+.apt_generated
+.classpath
+.factorypath
+.project
+.settings
+.springBeans
+.sts4-cache
+
+### NetBeans ###
+/nbproject/private/
+/nbbuild/
+/dist/
+/nbdist/
+/.nb-gradle/
+build/
+!**/src/main/**/build/
+!**/src/test/**/build/
+
+### VS Code ###
+.vscode/
+
+### Mac OS ###
+.DS_Store

pom.xml

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+<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/maven-v4_0_0.xsd">
+  <modelVersion>4.0.0</modelVersion>
+  <groupId>com.zhukovasky</groupId>
+  <artifactId>dashboard-statistics-lambda</artifactId>
+  <packaging>jar</packaging>
+  <version>1.0-SNAPSHOT</version>
+  <name>dashboard-statistics-lambda Maven Webapp</name>
+  <url>http://maven.apache.org</url>
+  <dependencies>
+    <dependency>
+      <groupId>junit</groupId>
+      <artifactId>junit</artifactId>
+      <version>3.8.1</version>
+      <scope>test</scope>
+    </dependency>
+    <!-- https://mvnrepository.com/artifact/com.amazonaws/aws-java-sdk-lambda -->
+      <!-- AWS Lambda Core -->
+      <dependency>
+          <groupId>com.amazonaws</groupId>
+          <artifactId>aws-lambda-java-core</artifactId>
+          <version>1.4.0</version>
+      </dependency>
+
+      <!-- AWS SDK for S3 -->
+      <dependency>
+          <groupId>software.amazon.awssdk</groupId>
+          <artifactId>s3</artifactId>
+          <version>2.35.4</version>
+          <scope>compile</scope>
+      </dependency>
+
+      <!-- MySQL JDBC -->
+      <dependency>
+          <groupId>mysql</groupId>
+          <artifactId>mysql-connector-java</artifactId>
+          <version>8.0.33</version>
+      </dependency>
+
+      <!-- CSV 操作 -->
+      <dependency>
+          <groupId>org.apache.commons</groupId>
+          <artifactId>commons-csv</artifactId>
+          <version>1.14.1</version>
+      </dependency>
+
+      <!-- https://mvnrepository.com/artifact/software.amazon.awssdk/url-connection-client -->
+      <dependency>
+          <groupId>software.amazon.awssdk</groupId>
+          <artifactId>url-connection-client</artifactId>
+          <version>2.34.9</version>
+          <scope>compile</scope>
+      </dependency>
+
+      <!-- 日志 -->
+      <dependency>
+          <groupId>org.slf4j</groupId>
+          <artifactId>slf4j-api</artifactId>
+          <version>1.7.36</version>
+      </dependency>
+      <dependency>
+          <groupId>ch.qos.logback</groupId>
+          <artifactId>logback-classic</artifactId>
+          <version>1.2.12</version>
+      </dependency>
+
+
+  </dependencies>
+  <build>
+    <finalName>dashboard-statistics-lambda</finalName>
+    <plugins>
+
+      <plugin>
+        <groupId>org.apache.maven.plugins</groupId>
+        <artifactId>maven-dependency-plugin</artifactId>
+        <executions>
+          <execution>
+            <phase>package</phase>
+            <goals>
+              <goal>copy-dependencies</goal>
+            </goals>
+            <configuration>
+              <outputDirectory>${project.build.directory}/lib</outputDirectory>
+              <overWriteReleases>false</overWriteReleases>
+              <overWriteSnapshots>true</overWriteSnapshots>
+              <excludeTransitive>false</excludeTransitive>
+              <includeScope>compile</includeScope>
+            </configuration>
+          </execution>
+        </executions>
+      </plugin>
+
+      <plugin>
+        <groupId>org.apache.maven.plugins</groupId>
+        <artifactId>maven-compiler-plugin</artifactId>
+        <configuration>
+          <source>17</source>
+          <target>17</target>
+        </configuration>
+      </plugin>
+    </plugins>
+  </build>
+</project>

src/main/java/com/dashboard/aws/lambda/handler/BackupHandler.java

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+package com.dashboard.aws.lambda.handler;
+
+import com.amazonaws.services.lambda.runtime.Context;
+import com.amazonaws.services.lambda.runtime.RequestHandler;
+import com.dashboard.aws.lambda.service.MySQLService;
+import com.dashboard.aws.lambda.service.S3Service;
+import com.dashboard.aws.lambda.util.CsvUtil;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.time.LocalDate;
+import java.time.ZoneId;
+import java.util.*;
+
+public class BackupHandler implements RequestHandler<Map<String, Object>, String> {
+
+    private static final Logger logger = LoggerFactory.getLogger(BackupHandler.class);
+
+    private final MySQLService mysqlService = new MySQLService();
+    private final S3Service s3Service = new S3Service();
+
+    @Override
+    public String handleRequest(Map<String, Object> event, Context context) {
+        try {
+            LocalDate targetDate = LocalDate.now(ZoneId.of("Asia/Tokyo")).minusDays(3);
+            long cutoff = targetDate.atStartOfDay(ZoneId.of("Asia/Tokyo")).toInstant().toEpochMilli();
+
+            // 查询符合条件的企业ID
+            List<Long> companyIds = mysqlService.getActiveCompanyIds();
+            logger.info("company id list: {}", companyIds);
+
+            for (Long companyId : companyIds) {
+                String schema = "data_center_dongjian_" + companyId;
+
+                for (String table : List.of("dashboard_record_accumulate", "dashboard_record_measure")) {
+                    // 查询旧数据
+                    List<Map<String, Object>> rows = mysqlService.queryOldData(schema, table, cutoff);
+                    if (rows.isEmpty()) {
+                        logger.info("[{}][{}] no data....", schema, table);
+                        continue;
+                    }
+
+                    // 按年月日分组
+                    Map<String, List<Map<String, Object>>> grouped = new HashMap<>();
+                    for (Map<String, Object> row : rows) {
+                        int y = (int) row.get("date_year");
+                        int m = (int) row.get("date_month");
+                        int d = (int) row.get("date_day");
+                        // 格式化年月日，不足两位补0
+                        String monthStr = String.format("%02d", m);
+                        String dayStr = String.format("%02d", d);
+                        String key = String.format("%d-%s-%s", y, monthStr, dayStr);
+
+                        grouped.computeIfAbsent(key, k -> new ArrayList<>()).add(row);
+                    }
+
+                    // 上传每个分组
+                    boolean allSuccess = true;
+                    for (Map.Entry<String, List<Map<String, Object>>> entry : grouped.entrySet()) {
+                        String dateKey = entry.getKey();
+                        byte[] csvBytes = CsvUtil.toCsvBytes(entry.getValue());
+                        String s3Key = String.format("%s/%s/%s.csv", table, companyId, dateKey);
+                        try {
+                            s3Service.upload(s3Key, csvBytes);
+                            logger.info("[{}][{}] backup success -> {}", schema, table, s3Key);
+                        } catch (Exception e) {
+                            allSuccess = false;
+                            logger.error("[{}][{}] backup failed -> {}", schema, table, s3Key, e);
+                        }
+                    }
+
+                    // 全部上传成功才删除数据
+                    if (allSuccess) {
+                        mysqlService.deleteOldData(schema, table, cutoff);
+                        logger.info("[{}][{}] delete old data", schema, table);
+                    } else {
+                        logger.error("[{}][{}] not all files uploaded successfully, skip delete", schema, table);
+                    }
+                }
+            }
+
+            return "backup process finished";
+
+        } catch (Exception e) {
+            logger.error("backup error", e);
+            return "backup error：" + e.getMessage();
+        }
+    }
+}

src/main/java/com/dashboard/aws/lambda/service/MySQLService.java

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+package com.dashboard.aws.lambda.service;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.sql.*;
+import java.util.*;
+
+public class MySQLService {
+
+    private static final Logger logger = LoggerFactory.getLogger(MySQLService.class);
+
+    private static final String MYSQL_URL = System.getenv("DB_URL"); // 统一实例URL
+    private static final String DB_USER = System.getenv("DB_USER");
+    private static final String DB_PASSWORD = System.getenv("DB_PASSWORD");
+
+
+    /**
+     * 获取符合条件的企业ID
+     */
+    public List<Long> getActiveCompanyIds() throws SQLException {
+        String sql = """
+            SELECT id FROM data_center_new.basic_company
+            WHERE flag != 1
+            AND (parent_id = -1 OR parent_id = 1)
+            """;
+
+        try (Connection conn = DriverManager.getConnection(MYSQL_URL, DB_USER, DB_PASSWORD);
+             PreparedStatement ps = conn.prepareStatement(sql);
+             ResultSet rs = ps.executeQuery()) {
+
+            List<Long> ids = new ArrayList<>();
+            while (rs.next()) {
+                ids.add(rs.getLong("id"));
+            }
+            return ids;
+        }
+    }
+
+    public List<Map<String, Object>> queryOldData(String schema, String table, long cutoff) throws SQLException {
+        String sql = String.format("SELECT * FROM %s.%s WHERE upload_at < ?", schema, table);
+        logger.info("query sql: {}, cutoff: {}", sql, cutoff);
+
+        try (Connection conn = DriverManager.getConnection(MYSQL_URL, DB_USER, DB_PASSWORD);
+             PreparedStatement ps = conn.prepareStatement(sql)) {
+
+            ps.setLong(1, cutoff);
+
+            ResultSet rs = ps.executeQuery();
+            ResultSetMetaData meta = rs.getMetaData();
+            List<Map<String, Object>> list = new ArrayList<>();
+
+            while (rs.next()) {
+                Map<String, Object> row = new LinkedHashMap<>();
+                for (int i = 1; i <= meta.getColumnCount(); i++) {
+                    row.put(meta.getColumnName(i), rs.getObject(i));
+                }
+                list.add(row);
+            }
+            return list;
+        }
+    }
+
+    public void deleteOldData(String schema, String table, long cutoff) throws SQLException {
+        String sql = String.format("DELETE FROM %s.%s WHERE upload_at < ?", schema, table);
+        logger.info("deleteOldData sql: {}, cutoff: {}", sql, cutoff);
+
+        try (Connection conn = DriverManager.getConnection(MYSQL_URL, DB_USER, DB_PASSWORD);
+             PreparedStatement ps = conn.prepareStatement(sql)) {
+
+            ps.setLong(1, cutoff);
+            int deleted = ps.executeUpdate();
+            logger.info("[{}.{}] 删除 {} 条记录", schema, table, deleted);
+        }
+    }
+
+}

src/main/java/com/dashboard/aws/lambda/service/S3Service.java

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+package com.dashboard.aws.lambda.service;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import software.amazon.awssdk.auth.credentials.AwsBasicCredentials;
+import software.amazon.awssdk.auth.credentials.StaticCredentialsProvider;
+import software.amazon.awssdk.core.sync.RequestBody;
+import software.amazon.awssdk.http.urlconnection.UrlConnectionHttpClient;
+import software.amazon.awssdk.regions.Region;
+import software.amazon.awssdk.services.s3.S3Client;
+import software.amazon.awssdk.services.s3.model.PutObjectRequest;
+import software.amazon.awssdk.services.s3.model.PutObjectResponse;
+
+import java.util.Objects;
+
+public class S3Service {
+
+    private static final Logger logger = LoggerFactory.getLogger(S3Service.class);
+
+    String accessKey = System.getenv("ACCESS_KEY_ID");
+    String secretKey = System.getenv("SECRET_ACCESS_KEY");
+    String bucketName = System.getenv("S3_BUCKET");
+
+    private final S3Client s3;
+    private final String bucket;
+
+    public S3Service() {
+
+        Objects.requireNonNull(accessKey, "环境变量 AWS_ACCESS_KEY_ID 不能为空");
+        Objects.requireNonNull(secretKey, "环境变量 AWS_SECRET_ACCESS_KEY 不能为空");
+        Objects.requireNonNull(bucketName, "环境变量 S3_BUCKET 不能为空");
+
+        this.bucket = bucketName;
+
+        this.s3 = S3Client.builder()
+                .httpClientBuilder(UrlConnectionHttpClient.builder())
+                .credentialsProvider(StaticCredentialsProvider.create(
+                        AwsBasicCredentials.create(accessKey, secretKey)
+                ))
+                .region(Region.AP_NORTHEAST_1) // 东京区域
+                .build();
+    }
+
+    public S3Service(String accessKey, String secretKey, String bucketName) {
+        Objects.requireNonNull(accessKey, "AccessKey不能为空");
+        Objects.requireNonNull(secretKey, "SecretKey不能为空");
+        Objects.requireNonNull(bucketName, "S3桶名不能为空");
+
+        this.bucket = bucketName;
+
+        this.s3 = S3Client.builder()
+                .credentialsProvider(StaticCredentialsProvider.create(
+                        AwsBasicCredentials.create(accessKey, secretKey)
+                ))
+                .region(Region.AP_NORTHEAST_1) // 东京区域
+                .build();
+    }
+
+    /**
+     * 上传字节数组到指定 key
+     */
+    public void upload(String key, byte[] content) {
+        Objects.requireNonNull(key, "S3 key不能为空");
+        Objects.requireNonNull(content, "上传内容不能为空");
+
+        PutObjectRequest request = PutObjectRequest.builder()
+                .bucket(bucket)
+                .key(key)
+                .build();
+
+        PutObjectResponse response = s3.putObject(request, RequestBody.fromBytes(content));
+        logger.info("上传成功: {}, ETag={}", key, response.eTag());
+    }
+
+    /**
+     * 关闭 S3Client
+     */
+    public void close() {
+        if (s3 != null) {
+            s3.close();
+        }
+    }
+}

src/main/java/com/dashboard/aws/lambda/util/Arith.java

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+package com.dashboard.aws.lambda.util;
+import java.math.BigDecimal;
+
+/**
+ * 进行BigDecimal对象的加减乘除，四舍五入等运算的工具类
+ *
+ * 由于Java的简单类型不能够精确的对浮点数进行运算，这个工具类提供精
+ * 确的浮点数运算，包括加减乘除和四舍五入。
+ */
+public class Arith {
+    //默认除法运算精度
+    private static final int DEF_DIV_SCALE = 10;
+
+    //这个类不能实例化
+    private Arith(){
+    }
+
+    /**
+     * 提供精确的加法运算。
+     * @param v1 被加数
+     * @param v2 加数
+     * @return 两个参数的和
+     */
+    public static double add(double v1,double v2){
+        BigDecimal b1 = new BigDecimal(Double.toString(v1));
+        BigDecimal b2 = new BigDecimal(Double.toString(v2));
+        return b1.add(b2).doubleValue();
+    }
+
+    /**
+     * 提供精确的减法运算。
+     * @param v1 被减数
+     * @param v2 减数
+     * @return 两个参数的差
+     */
+    public static double sub(double v1,double v2){
+        BigDecimal b1 = new BigDecimal(Double.toString(v1));
+        BigDecimal b2 = new BigDecimal(Double.toString(v2));
+        return b1.subtract(b2).doubleValue();
+    }
+
+    /**
+     * 提供精确的乘法运算。
+     * @param v1 被乘数
+     * @param v2 乘数
+     * @return 两个参数的积
+     */
+    public static double mul(double v1,double v2){
+        BigDecimal b1 = new BigDecimal(Double.toString(v1));
+        BigDecimal b2 = new BigDecimal(Double.toString(v2));
+        return b1.multiply(b2).doubleValue();
+    }
+
+    /**
+     * 提供（相对）精确的除法运算，当发生除不尽的情况时，精确到
+     * 小数点以后10位，以后的数字四舍五入。
+     * @param v1 被除数
+     * @param v2 除数
+     * @return 两个参数的商
+     */
+    public static double div(double v1,double v2){
+        return div(v1,v2,DEF_DIV_SCALE);
+    }
+
+    /**
+     * 提供（相对）精确的除法运算。当发生除不尽的情况时，由scale参数指
+     * 定精度，以后的数字四舍五入。
+     * @param v1 被除数
+     * @param v2 除数
+     * @param scale 表示表示需要精确到小数点以后几位。
+     * @return 两个参数的商
+     */
+    public static double div(double v1,double v2,int scale){
+        if(scale<0){
+            throw new IllegalArgumentException(
+                    "The scale must be a positive integer or zero");
+        }
+        BigDecimal b1 = new BigDecimal(Double.toString(v1));
+        BigDecimal b2 = new BigDecimal(Double.toString(v2));
+        return b1.divide(b2,scale,BigDecimal.ROUND_HALF_UP).doubleValue();
+    }
+
+    /**
+     * 提供精确的小数位四舍五入处理。
+     * @param v 需要四舍五入的数字
+     * @param scale 小数点后保留几位
+     * @return 四舍五入后的结果
+     */
+    public static double round(double v,int scale){
+        if(scale<0){
+            throw new IllegalArgumentException(
+                    "The scale must be a positive integer or zero");
+        }
+        BigDecimal b = new BigDecimal(Double.toString(v));
+        BigDecimal one = new BigDecimal("1");
+        return b.divide(one,scale,BigDecimal.ROUND_HALF_UP).doubleValue();
+    }
+
+    /**
+     * 提供精确的类型转换(Float)
+     * @param v 需要被转换的数字
+     * @return 返回转换结果
+     */
+    public static float convertsToFloat(double v){
+        BigDecimal b = BigDecimal.valueOf(v);
+        return b.floatValue();
+    }
+
+    /**
+     * 提供精确的类型转换(Int)不进行四舍五入
+     * @param v 需要被转换的数字
+     * @return 返回转换结果
+     */
+    public static int convertsToInt(double v){
+        BigDecimal b = BigDecimal.valueOf(v);
+        return b.intValue();
+    }
+
+    /**
+     * 提供精确的类型转换(Long)
+     * @param v 需要被转换的数字
+     * @return 返回转换结果
+     */
+    public static long convertsToLong(double v){
+        BigDecimal b = BigDecimal.valueOf(v);
+        return b.longValue();
+    }
+
+    /**
+     * 返回两个数中大的一个值
+     * @param v1 需要被对比的第一个数
+     * @param v2 需要被对比的第二个数
+     * @return 返回两个数中大的一个值
+     */
+    public static double returnMax(double v1,double v2){
+        BigDecimal b1 = BigDecimal.valueOf(v1);
+        BigDecimal b2 = BigDecimal.valueOf(v2);
+        return b1.max(b2).doubleValue();
+    }
+
+    /**
+     * 返回两个数中小的一个值
+     * @param v1 需要被对比的第一个数
+     * @param v2 需要被对比的第二个数
+     * @return 返回两个数中小的一个值
+     */
+    public static double returnMin(double v1,double v2){
+        BigDecimal b1 = BigDecimal.valueOf(v1);
+        BigDecimal b2 = BigDecimal.valueOf(v2);
+        return b1.min(b2).doubleValue();
+    }
+
+    /**
+     * 精确对比两个数字
+     * @param v1 需要被对比的第一个数
+     * @param v2 需要被对比的第二个数
+     * @return 如果两个数一样则返回0，如果第一个数比第二个数大则返回1，反之返回-1
+     */
+    public static int compareTo(double v1,double v2){
+        BigDecimal b1 = BigDecimal.valueOf(v1);
+        BigDecimal b2 = BigDecimal.valueOf(v2);
+        return b1.compareTo(b2);
+    }
+
+}

src/main/java/com/dashboard/aws/lambda/util/CsvUtil.java

@@ -0,0 +1,29 @@
+package com.dashboard.aws.lambda.util;
+
+import java.io.ByteArrayOutputStream;
+import java.io.PrintWriter;
+import java.nio.charset.StandardCharsets;
+import java.util.List;
+import java.util.Map;
+
+public class CsvUtil {
+    public static byte[] toCsvBytes(List<Map<String, Object>> rows) {
+        if (rows == null || rows.isEmpty()) return new byte[0];
+        ByteArrayOutputStream out = new ByteArrayOutputStream();
+        PrintWriter writer = new PrintWriter(out);
+
+        // 表头
+        List<String> headers = rows.get(0).keySet().stream().toList();
+        writer.println(String.join(",", headers));
+
+        // 数据
+        for (Map<String, Object> row : rows) {
+            writer.println(String.join(",", headers.stream()
+                    .map(h -> String.valueOf(row.getOrDefault(h, "")))
+                    .toList()));
+        }
+
+        writer.flush();
+        return out.toString(StandardCharsets.UTF_8).getBytes(StandardCharsets.UTF_8);
+    }
+}

src/main/resources/logback.xml

@@ -0,0 +1,13 @@
+<configuration>
+    <property name="LOG_LEVEL" value="${LOG_LEVEL:-INFO}" />
+
+    <appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
+        <encoder>
+            <pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
+        </encoder>
+    </appender>
+
+    <root level="${LOG_LEVEL}">
+        <appender-ref ref="STDOUT" />
+    </root>
+</configuration>