如何利用Java实现仓库管理系统的大数据分析和商业智能报告功能

// 采集数据并存储到HDFS
Configuration conf = new Configuration();
Job job = Job.getInstance(conf, "Data Collection");
job.setJarByClass(DataCollection.class);
job.setMapperClass(DataCollectionMapper.class);
job.setOutputKeyClass(NullWritable.class);
job.setOutputValueClass(Text.class);
FileInputFormat.addInputPath(job, new Path("input/data.txt"));
FileOutputFormat.setOutputPath(job, new Path("output/raw-data"));
job.waitForCompletion(true);

// 将数据存储到HBase
Configuration hbaseConf = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(hbaseConf);
Admin admin = connection.getAdmin();
TableName tableName = TableName.valueOf("warehouse");
HTableDescriptor tableDescriptor = new HTableDescriptor(tableName);
HColumnDescriptor columnDescriptor = new HColumnDescriptor("data");
tableDescriptor.addFamily(columnDescriptor);
admin.createTable(tableDescriptor);
Table table = connection.getTable(tableName);
Put put = new Put(Bytes.toBytes("row-1"));
put.addColumn(Bytes.toBytes("data"), Bytes.toBytes("column-1"), Bytes.toBytes("value-1"));
table.put(put);

// 加载数据到Spark DataFrame
SparkSession spark = SparkSession.builder()
                .appName("Data Cleaning")
                .master("local")
                .getOrCreate();
Dataset<Row> dataFrame = spark.read()
                .format("csv")
                .option("header", "true")
                .load("output/raw-data/part-00000");

// 数据清洗与预处理
Dataset<Row> cleanedDataFrame = dataFrame.na().drop();

// 加载数据到Flink DataSet
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple2<String, Double>> dataSet = env.readCsvFile("output/cleaned-data/part-00000")
                .ignoreFirstLine()
                .types(String.class, Double.class);

// 数据分析与挖掘
DataSet<Tuple2<String, Double>> averageByCategory = dataSet.groupBy(0)
                .reduceGroup(new GroupReduceFunction<Tuple2<String, Double>, Tuple2<String, Double>>() {
                    @Override
                    public void reduce(Iterable<Tuple2<String, Double>> values,
                                       Collector<Tuple2<String, Double>> out) throws Exception {
                        String category = null;
                        double sum = 0;
                        int count = 0;
                        for (Tuple2<String, Double> value : values) {
                            category = value.f0;
                            sum += value.f1;
                            count++;
                        }
                        out.collect(new Tuple2<>(category, sum / count));
                    }
                });

// 加载报表模板
InputStream input = new FileInputStream(new File("resources/template.jrxml"));
JasperReport jasperReport = JasperCompileManager.compileReport(input);

// 生成报表
JasperPrint jasperPrint = JasperFillManager.fillReport(jasperReport, null, new JREmptyDataSource());
JasperExportManager.exportReportToPdfFile(jasperPrint, "output/report.pdf");

// 发送邮件
Properties props = new Properties();
props.put("mail.smtp.auth", "true");
props.put("mail.smtp.starttls.enable", "true");
props.put("mail.smtp.host", "smtp.gmail.com");
props.put("mail.smtp.port", "587");

Session session = Session.getInstance(props,
                new javax.mail.Authenticator() {
                    protected PasswordAuthentication getPasswordAuthentication() {
                        return new PasswordAuthentication("your_email", "your_password");
                    }
                });

Message message = new MimeMessage(session);
message.setFrom(new InternetAddress("from@example.com"));
message.setRecipients(Message.RecipientType.TO,
                InternetAddress.parse("to@example.com"));
message.setSubject("Report");
message.setText("Please find the attached report.");

MimeBodyPart messageBodyPart = new MimeBodyPart();
Multipart multipart = new MimeMultipart();
messageBodyPart = new MimeBodyPart();
String file = "output/report.pdf";
String fileName = "report.pdf";
DataSource source = new FileDataSource(file);
messageBodyPart.setDataHandler(new DataHandler(source));
messageBodyPart.setFileName(fileName);
multipart.addBodyPart(messageBodyPart);

message.setContent(multipart);

Transport.send(message);