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Springboot整合HBase

news 2025/6/27 8:14:21

Springboot整合HBase数据库

1、添加依赖
<!-- Spring Boot HBase 依赖 -->
<dependency><groupId>com.spring4all</groupId><artifactId>spring-boot-starter-hbase</artifactId>
</dependency>
<dependency><groupId>org.springframework.data</groupId><artifactId>spring-data-hadoop-hbase</artifactId><version>2.5.0.RELEASE</version>
</dependency>
<dependency><groupId>org.springframework.data</groupId><artifactId>spring-data-hadoop</artifactId><version>2.5.0.RELEASE</version>
</dependency>
2、添加配置
通过Yaml方式配置
spring:hbase:zookeeper:quorum: hbase1.xxx.org,hbase2.xxx.org,hbase3.xxx.orgproperty:clientPort: 2181data:hbase:quorum: XXXrootDir: XXXnodeParent: XXXzookeeper:znode:parent: /hbase
3、添加配置类
@Configuration
public class HBaseConfig {@Beanpublic HBaseService getHbaseService() {//设置临时的hadoop环境变量，之后程序会去这个目录下的\bin目录下找winutils.exe工具，windows连接hadoop时会用到//System.setProperty("hadoop.home.dir", "D:\\Program Files\\Hadoop");//执行此步时，会去resources目录下找相应的配置文件，例如hbase-site.xmlorg.apache.hadoop.conf.Configuration conf = HBaseConfiguration.create();return new HBaseService(conf);}
}
4、工具类的方式实现HBASE操作
@Service
public class HBaseService {private Admin admin = null;private Connection connection = null;public HBaseService(Configuration conf) {connection = ConnectionFactory.createConnection(conf);admin = connection.getAdmin();}//创建表 create <table>, {NAME => <column family>, VERSIONS => <VERSIONS>}public boolean creatTable(String tableName, List<String> columnFamily) {//列族column familyList<ColumnFamilyDescriptor> cfDesc = new ArrayList<>(columnFamily.size());columnFamily.forEach(cf -> {cfDesc.add(ColumnFamilyDescriptorBuilder.newBuilder(Bytes.toBytes(cf)).build());});//表 tableTableDescriptor tableDesc = TableDescriptorBuilder.newBuilder(TableName.valueOf(tableName)).setColumnFamilies(cfDesc).build();if (admin.tableExists(TableName.valueOf(tableName))) {log.debug("table Exists!");} else {admin.createTable(tableDesc);log.debug("create table Success!");}close(admin, null, null);return true;}public List<String> getAllTableNames() {List<String> result = new ArrayList<>();TableName[] tableNames = admin.listTableNames();for (TableName tableName : tableNames) {result.add(tableName.getNameAsString());}close(admin, null, null);return result;}public Map<String, Map<String, String>> getResultScanner(String tableName) {Scan scan = new Scan();return this.queryData(tableName, scan);}private Map<String, Map<String, String>> queryData(String tableName, Scan scan) {// <rowKey,对应的行数据>Map<String, Map<String, String>> result = new HashMap<>();ResultScanner rs = null;//获取表Table table = null;table = getTable(tableName);rs = table.getScanner(scan);for (Result r : rs) {// 每一行数据Map<String, String> columnMap = new HashMap<>();String rowKey = null;// 行键，列族和列限定符一起确定一个单元（Cell）for (Cell cell : r.listCells()) {if (rowKey == null) {rowKey = Bytes.toString(cell.getRowArray(), cell.getRowOffset(), cell.getRowLength());}columnMap.put(//列限定符Bytes.toString(cell.getQualifierArray(), cell.getQualifierOffset(), cell.getQualifierLength()),//列族Bytes.toString(cell.getValueArray(), cell.getValueOffset(), cell.getValueLength()));}if (rowKey != null) {result.put(rowKey, columnMap);}}close(null, rs, table);return result;}public void putData(String tableName, String rowKey, String familyName, String[] columns, String[] values) {Table table = null;table = getTable(tableName);putData(table, rowKey, tableName, familyName, columns, values);close(null, null, table);}private void putData(Table table, String rowKey, String tableName, String familyName, String[] columns, String[] values) {//设置rowkeyPut put = new Put(Bytes.toBytes(rowKey));if (columns != null && values != null && columns.length == values.length) {for (int i = 0; i < columns.length; i++) {if (columns[i] != null && values[i] != null) {put.addColumn(Bytes.toBytes(familyName), Bytes.toBytes(columns[i]), Bytes.toBytes(values[i]));} else {throw new NullPointerException(MessageFormat.format("列名和列数据都不能为空,column:{0},value:{1}", columns[i], values[i]));}}}table.put(put);log.debug("putData add or update data Success,rowKey:" + rowKey);table.close();}private Table getTable(String tableName) throws IOException {return connection.getTable(TableName.valueOf(tableName));}private void close(Admin admin, ResultScanner rs, Table table) {if (admin != null) {try {admin.close();} catch (IOException e) {log.error("关闭Admin失败", e);}if (rs != null) {rs.close();}if (table != null) {rs.close();}if (table != null) {try {table.close();} catch (IOException e) {log.error("关闭Table失败", e);}}}}
}
测试类
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest
class HBaseApplicationTests {@Resourceprivate HBaseService hbaseService;//测试创建表@Testpublic void testCreateTable() {hbaseService.creatTable("test_base", Arrays.asList("a", "back"));}//测试加入数据@Testpublic void testPutData() {hbaseService.putData("test_base", "000001", "a", new String[]{"project_id", "varName", "coefs", "pvalues", "tvalues","create_time"}, new String[]{"40866", "mob_3", "0.9416","0.0000", "12.2293", "null"});hbaseService.putData("test_base", "000002", "a", new String[]{"project_id", "varName", "coefs", "pvalues", "tvalues","create_time"}, new String[]{"40866", "idno_prov", "0.9317","0.0000", "9.8679", "null"});hbaseService.putData("test_base", "000003", "a", new String[]{"project_id", "varName", "coefs", "pvalues", "tvalues","create_time"}, new String[]{"40866", "education", "0.8984","0.0000", "25.5649", "null"});}//测试遍历全表@Testpublic void testGetResultScanner() {Map<String, Map<String, String>> result2 = hbaseService.getResultScanner("test_base");System.out.println("-----遍历查询全表内容-----");result2.forEach((k, value) -> {System.out.println(k + "--->" + value);});}
}

三、使用spring-data-hadoop-hbase

3、配置类
@Configuration
public class HBaseConfiguration {@Value("${hbase.zookeeper.quorum}")private String zookeeperQuorum;@Value("${hbase.zookeeper.property.clientPort}")private String clientPort;@Value("${zookeeper.znode.parent}")private String znodeParent;@Beanpublic HbaseTemplate hbaseTemplate() {org.apache.hadoop.conf.Configuration conf = new org.apache.hadoop.conf.Configuration();conf.set("hbase.zookeeper.quorum", zookeeperQuorum);conf.set("hbase.zookeeper.property.clientPort", clientPort);conf.set("zookeeper.znode.parent", znodeParent);return new HbaseTemplate(conf);}
}
4、业务类中使用HbaseTemplate

这个是作为工具类

@Service
@Slf4j
public class HBaseService {@Autowiredprivate HbaseTemplate hbaseTemplate;//查询列簇public List<Result> getRowKeyAndColumn(String tableName, String startRowkey, String stopRowkey, String column, String qualifier) {FilterList filterList = new FilterList(FilterList.Operator.MUST_PASS_ALL);if (StringUtils.isNotBlank(column)) {log.debug("{}", column);filterList.addFilter(new FamilyFilter(CompareFilter.CompareOp.EQUAL,new BinaryComparator(Bytes.toBytes(column))));}if (StringUtils.isNotBlank(qualifier)) {log.debug("{}", qualifier);filterList.addFilter(new QualifierFilter(CompareFilter.CompareOp.EQUAL, new BinaryComparator(Bytes.toBytes(qualifier))));}Scan scan = new Scan();if (filterList.getFilters().size() > 0) {scan.setFilter(filterList);}scan.setStartRow(Bytes.toBytes(startRowkey));scan.setStopRow(Bytes.toBytes(stopRowkey));return hbaseTemplate.find(tableName, scan, (rowMapper, rowNum) -> rowMapper);}public List<Result> getListRowkeyData(String tableName, List<String> rowKeys, String familyColumn, String column) {return rowKeys.stream().map(rk -> {if (StringUtils.isNotBlank(familyColumn)) {if (StringUtils.isNotBlank(column)) {return hbaseTemplate.get(tableName, rk, familyColumn, column, (rowMapper, rowNum) -> rowMapper);} else {return hbaseTemplate.get(tableName, rk, familyColumn,(rowMapper, rowNum) -> rowMapper);}}return hbaseTemplate.get(tableName, rk, (rowMapper, rowNum) -> rowMapper);}).collect(Collectors.toList());}
}

四、使用spring-boot-starter-data-hbase

参考：https://blog.csdn.net/cpongo1/article/details/89550486

## 下载spring-boot-starter-hbase代码
git clone https://github.com/SpringForAll/spring-boot-starter-hbase.git
## 安装
cd spring-boot-starter-hbase
mvn clean install
2、添加配置项
  • spring.data.hbase.quorum 指定 HBase 的 zk 地址
  • spring.data.hbase.rootDir 指定 HBase 在 HDFS 上存储的路径
  • spring.data.hbase.nodeParent 指定 ZK 中 HBase 的根 ZNode
3、定义好DTO
@Data
public class City {private Long id;private Integer age;private String cityName;  
}
4、创建对应rowMapper
public class CityRowMapper implements RowMapper<City> {private static byte[] COLUMN_FAMILY = "f".getBytes();private static byte[] NAME = "name".getBytes();private static byte[] AGE = "age".getBytes();@Overridepublic City mapRow(Result result, int rowNum) throws Exception {String name = Bytes.toString(result.getValue(COLUMN_FAMILY, NAME));int age = Bytes.toInt(result.getValue(COLUMN_FAMILY, AGE));City dto = new City();dto.setCityName(name);dto.setAge(age);return dto;}
}
5、操作实现增改查
  • HbaseTemplate.find 返回 HBase 映射的 City 列表
  • HbaseTemplate.get 返回 row 对应的 City 信息
  • HbaseTemplate.saveOrUpdates 保存或者更新
    如果 HbaseTemplate 操作不满足需求，完全可以使用 hbaseTemplate 的getConnection() 方法，获取连接。进而类似 HbaseTemplate 实现的逻辑，实现更复杂的需求查询等功能
@Service
public class CityServiceImpl implements CityService {@Autowired private HbaseTemplate hbaseTemplate;//查询public List<City> query(String startRow, String stopRow) {Scan scan = new Scan(Bytes.toBytes(startRow), Bytes.toBytes(stopRow));scan.setCaching(5000);List<City> dtos = this.hbaseTemplate.find("people_table", scan, new CityRowMapper());return dtos;}//查询public City query(String row) {City dto = this.hbaseTemplate.get("people_table", row, new CityRowMapper());return dto;}//新增或者更新public void saveOrUpdate() {List<Mutation> saveOrUpdates = new ArrayList<Mutation>();Put            put           = new Put(Bytes.toBytes("135xxxxxx"));put.addColumn(Bytes.toBytes("people"), Bytes.toBytes("name"), Bytes.toBytes("test"));saveOrUpdates.add(put);this.hbaseTemplate.saveOrUpdates("people_table", saveOrUpdates);}
}

Springboot整合Influxdb

中文文档：https://jasper-zhang1.gitbooks.io/influxdb/content/Introduction/installation.html

注意，项目建立在spring-boot-web基础上

1、添加依赖
<dependency><groupId>org.influxdb</groupId><artifactId>influxdb-java</artifactId><version>2.15</version>
</dependency>
2、添加配置
spring:influx:database: my_sensor1password: adminurl: http://127.0.0.1:6086user: admin
3、编写配置类
@Configuration
public class InfluxdbConfig {@Value("${spring.influx.url}")private String influxDBUrl; @Value("${spring.influx.user}")private String userName;    @Value("${spring.influx.password}")private String password;    @Value("${spring.influx.database}")private String database;    @Bean("influxDB")public InfluxDB influxdb(){     InfluxDB influxDB = InfluxDBFactory.connect(influxDBUrl, userName, password);try {/** * 异步插入：* enableBatch这里第一个是point的个数，第二个是时间，单位毫秒    * point的个数和时间是联合使用的，如果满100条或者60 * 1000毫秒   * 满足任何一个条件就会发送一次写的请求。*/influxDB.setDatabase(database).enableBatch(100,1000 * 60, TimeUnit.MILLISECONDS);} catch (Exception e) { e.printStackTrace();} finally { //设置默认策略influxDB.setRetentionPolicy("sensor_retention");    }//设置日志输出级别influxDB.setLogLevel(InfluxDB.LogLevel.BASIC);  return influxDB;}
}
4、InfluxDB原生API实现
@SpringBootTest(classes = {MainApplication.class})
@RunWith(SpringJUnit4ClassRunner.class)
public class InfluxdbDBTest {@Autowiredprivate InfluxDB influxDB;//measurementprivate final String measurement = "sensor";@Value("${spring.influx.database}")private String database;/*** 批量插入第一种方式*/@Testpublic void insert(){List<String> lines = new ArrayList<String>();       Point point = null;     for(int i=0;i<50;i++){          point = Point.measurement(measurement).tag("deviceId", "sensor" + i).addField("temp", 3).addField("voltage", 145+i).addField("A1", "4i").addField("A2", "4i").build();lines.add(point.lineProtocol());}//写入influxDB.write(lines);}/*** 批量插入第二种方式*/@Testpublic void batchInsert(){BatchPoints batchPoints = BatchPoints.database(database).consistency(InfluxDB.ConsistencyLevel.ALL).build();//遍历sqlserver获取数据for(int i=0;i<50;i++){//创建单条数据对象——表名Point point = Point.measurement(measurement)//tag属性——只能存储String类型.tag("deviceId", "sensor" + i).addField("temp", 3).addField("voltage", 145+i).addField("A1", "4i").addField("A2", "4i").build();//将单条数据存储到集合中batchPoints.point(point);}//批量插入influxDB.write(batchPoints); }/*** 获取数据*/@Testpublic void datas(@RequestParam Integer page){int pageSize = 10;// InfluxDB支持分页查询,因此可以设置分页查询条件String pageQuery = " LIMIT " + pageSize + " OFFSET " + (page - 1) * pageSize;String queryCondition = "";  //查询条件暂且为空// 此处查询所有内容,如果String queryCmd = "SELECT * FROM "// 查询指定设备下的日志信息// 要指定从 RetentionPolicyName.measurement中查询指定数据,默认的策略可以不加；// + 策略name + "." + measurement+ measurement// 添加查询条件(注意查询条件选择tag值,选择field数值会严重拖慢查询速度)+ queryCondition// 查询结果需要按照时间排序+ " ORDER BY time DESC"// 添加分页查询条件+ pageQuery;QueryResult queryResult = influxDB.query(new Query(queryCmd, database));System.out.println("query result => "+queryResult);}
}
5、采用封装工具类
1、创建实体类
@Data
@Measurement(name = "sensor")
public class Sensor {@Column(name="deviceId",tag=true)private String deviceId;@Column(name="temp")private float temp;@Column(name="voltage")private float voltage;@Column(name="A1")private float A1;@Column(name="A2")private float A2;@Column(name="time")private String time;    }
2、创建工具类
@Component
public class InfluxdbUtils {@Autowiredprivate InfluxDB influxDB;@Value("${spring.influx.database}")private String database;    /*** 新增单条记录,利用java的反射机制进行新增操作*/@SneakyThrowspublic void insertOne(Object obj){//获取度量Class<?> clasz = obj.getClass();Measurement measurement = clasz.getAnnotation(Measurement.class);//构建Point.Builder builder = Point.measurement(measurement.name());// 获取对象属性Field[] fieldArray = clasz.getDeclaredFields();Column column = null;for(Field field : fieldArray){column = field.getAnnotation(Column.class);//设置属性可操作field.setAccessible(true); if(column.tag()){//tag属性只能存储String类型builder.tag(column.name(), field.get(obj).toString());}else{//设置fieldif(field.get(obj) != null){builder.addField(column.name(), field.get(obj).toString());}}}influxDB.write(builder.build());}/*** 批量新增,方法一*/@SneakyThrowspublic void insertBatchByRecords(List<?> records){List<String> lines = new ArrayList<String>();   records.forEach(record->{Class<?> clasz = record.getClass();//获取度量Measurement measurement = clasz.getAnnotation(Measurement.class);//构建Point.Builder builder = Point.measurement(measurement.name());Field[] fieldArray = clasz.getDeclaredFields();Column column = null;for(Field field : fieldArray){column = field.getAnnotation(Column.class);//设置属性可操作field.setAccessible(true); if(column.tag()){//tag属性只能存储String类型builder.tag(column.name(), field.get(record).toString());}else{//设置fieldif(field.get(record) != null){builder.addField(column.name(), field.get(record).toString());}}}lines.add(builder.build().lineProtocol());});influxDB.write(lines);}/*** 批量新增，方法二*/@SneakyThrowspublic void insertBatchByPoints(List<?> records){BatchPoints batchPoints = BatchPoints.database(database).consistency(InfluxDB.ConsistencyLevel.ALL).build();records.forEach(record->{Class<?> clasz = record.getClass();//获取度量Measurement measurement = clasz.getAnnotation(Measurement.class);//构建Point.Builder builder = Point.measurement(measurement.name());Field[] fieldArray = clasz.getDeclaredFields();Column column = null;for(Field field : fieldArray){column = field.getAnnotation(Column.class);//设置属性可操作field.setAccessible(true); if(column.tag()){//tag属性只能存储String类型builder.tag(column.name(), field.get(record).toString());}else{//设置fieldif(field.get(record) != null){builder.addField(column.name(), field.get(record).toString());}}}batchPoints.point(builder.build());});influxDB.write(batchPoints);}/*** 查询，返回Map集合* @param query 完整的查询语句*/public List<Object> fetchRecords(String query){List<Object> results = new ArrayList<Object>();QueryResult queryResult = influxDB.query(new Query(query, database));queryResult.getResults().forEach(result->{result.getSeries().forEach(serial->{List<String> columns = serial.getColumns();int fieldSize = columns.size();serial.getValues().forEach(value->{     Map<String,Object> obj = new HashMap<String,Object>();for(int i=0;i<fieldSize;i++){   obj.put(columns.get(i), value.get(i));}results.add(obj);});});});return results;}/*** 查询，返回map集合* @param fieldKeys 查询的字段，不可为空；不可为单独的tag* @param measurement 度量，不可为空；*/public List<Object> fetchRecords(String fieldKeys, String measurement){StringBuilder query = new StringBuilder();query.append("select ").append(fieldKeys).append(" from ").append(measurement);     return this.fetchRecords(query.toString());}/*** 查询，返回map集合* @param fieldKeys 查询的字段，不可为空；不可为单独的tag* @param measurement 度量，不可为空；*/public List<Object> fetchRecords(String fieldKeys, String measurement, String order){StringBuilder query = new StringBuilder();query.append("select ").append(fieldKeys).append(" from ").append(measurement);query.append(" order by ").append(order);       return this.fetchRecords(query.toString());}/*** 查询，返回map集合* @param fieldKeys 查询的字段，不可为空；不可为单独的tag* @param measurement 度量，不可为空；*/public List<Object> fetchRecords(String fieldKeys, String measurement, String order, String limit){StringBuilder query = new StringBuilder();query.append("select ").append(fieldKeys).append(" from ").append(measurement);query.append(" order by ").append(order);query.append(limit);return this.fetchRecords(query.toString());}/*** 查询，返回对象的list集合*/@SneakyThrowspublic <T> List<T> fetchResults(String query, Class<?> clasz){List results = new ArrayList<>();QueryResult queryResult = influxDB.query(new Query(query, database));queryResult.getResults().forEach(result->{result.getSeries().forEach(serial->{List<String> columns = serial.getColumns();int fieldSize = columns.size();     serial.getValues().forEach(value->{ Object obj = null;obj = clasz.newInstance();for(int i=0;i<fieldSize;i++){   String fieldName = columns.get(i);Field field = clasz.getDeclaredField(fieldName);field.setAccessible(true);Class<?> type = field.getType();if(type == float.class){field.set(obj, Float.valueOf(value.get(i).toString()));}else{field.set(obj, value.get(i));}                           }results.add(obj);});});});return results;}/*** 查询，返回对象的list集合*/public <T> List<T> fetchResults(String fieldKeys, String measurement, Class<?> clasz){StringBuilder query = new StringBuilder();query.append("select ").append(fieldKeys).append(" from ").append(measurement);     return this.fetchResults(query.toString(), clasz);}/*** 查询，返回对象的list集合*/public <T> List<T> fetchResults(String fieldKeys, String measurement, String order, Class<?> clasz){StringBuilder query = new StringBuilder();query.append("select ").append(fieldKeys).append(" from ").append(measurement);query.append(" order by ").append(order);return this.fetchResults(query.toString(), clasz);}/*** 查询，返回对象的list集合*/public <T> List<T> fetchResults(String fieldKeys, String measurement, String order, String limit, Class<?> clasz){StringBuilder query = new StringBuilder();query.append("select ").append(fieldKeys).append(" from ").append(measurement);query.append(" order by ").append(order);query.append(limit);        return this.fetchResults(query.toString(), clasz);}
}
3、使用工具类的测试代码
@SpringBootTest(classes = {MainApplication.class})
@RunWith(SpringJUnit4ClassRunner.class)
public class InfluxdbUtilTest {@Autowiredprivate InfluxdbUtils influxdbUtils;/*** 插入单条记录*/@Testpublic void insert(){Sensor sensor = new Sensor();sensor.setA1(10);sensor.setA2(10);sensor.setDeviceId("0002");sensor.setTemp(10L);sensor.setTime("2021-01-19");sensor.setVoltage(10);influxdbUtils.insertOne(sensor);}/*** 批量插入第一种方式*/@GetMapping("/index22")public void batchInsert(){  List<Sensor> sensorList = new ArrayList<Sensor>();for(int i=0; i<50; i++){Sensor sensor = new Sensor();sensor.setA1(2);sensor.setA2(12);sensor.setTemp(9);sensor.setVoltage(12);sensor.setDeviceId("sensor4545-"+i);sensorList.add(sensor);}influxdbUtils.insertBatchByRecords(sensorList);}/*** 批量插入第二种方式*/@GetMapping("/index23")public void batchInsert1(){ List<Sensor> sensorList = new ArrayList<Sensor>();Sensor sensor = null;for(int i=0; i<50; i++){sensor = new Sensor();sensor.setA1(2);sensor.setA2(12);sensor.setTemp(9);sensor.setVoltage(12);sensor.setDeviceId("sensor4545-"+i);sensorList.add(sensor);}influxdbUtils.insertBatchByPoints(sensorList);}/*** 查询数据*/@GetMapping("/datas2")public void datas(@RequestParam Integer page){int pageSize = 10;// InfluxDB支持分页查询,因此可以设置分页查询条件String pageQuery = " LIMIT " + pageSize + " OFFSET " + (page - 1) * pageSize;String queryCondition = "";  //查询条件暂且为空// 此处查询所有内容,如果String queryCmd = "SELECT * FROM sensor"// 查询指定设备下的日志信息// 要指定从 RetentionPolicyName.measurement中查询指定数据,默认的策略可以不加；// + 策略name + "." + measurement// 添加查询条件(注意查询条件选择tag值,选择field数值会严重拖慢查询速度)+ queryCondition// 查询结果需要按照时间排序+ " ORDER BY time DESC"// 添加分页查询条件+ pageQuery;List<Object> sensorList = influxdbUtils.fetchRecords(queryCmd);System.out.println("query result => {}"+sensorList );}/*** 获取数据*/@GetMapping("/datas21")public void datas1(@RequestParam Integer page){int pageSize = 10;// InfluxDB支持分页查询,因此可以设置分页查询条件String pageQuery = " LIMIT " + pageSize + " OFFSET " + (page - 1) * pageSize;String queryCondition = "";  //查询条件暂且为空// 此处查询所有内容,如果String queryCmd = "SELECT * FROM sensor"// 查询指定设备下的日志信息// 要指定从 RetentionPolicyName.measurement中查询指定数据,默认的策略可以不加；// + 策略name + "." + measurement// 添加查询条件(注意查询条件选择tag值,选择field数值会严重拖慢查询速度)+ queryCondition// 查询结果需要按照时间排序+ " ORDER BY time DESC"// 添加分页查询条件+ pageQuery;List<Sensor> sensorList = influxdbUtils.fetchResults(queryCmd, Sensor.class);//List<Sensor> sensorList = influxdbUtils.fetchResults("*", "sensor", Sensor.class);sensorList.forEach(sensor->{System.out.println("query result => {}"+sensorList );});     }
}
6、采用封装数据模型的方式
1、在Influxdb库中创建存储策略
CREATE RETENTION POLICY "rp_order_payment" ON "db_order" DURATION 30d REPLICATION 1 DEFAULT
2、创建数据模型
@Data
@Measurement(name = "m_order_payment",database = "db_order", retentionPolicy = "rp_order_payment")
public class OrderPayment implements Serializable  {// 统计批次@Column(name = "batch_id", tag = true)private String batchId;// 哪个BU@Column(name = "bu_id", tag = true)private String buId;// BU 名称@Column(name = "bu_name")private String buName;// 总数@Column(name = "total_count", tag = true)private String totalCount;// 支付量@Column(name = "pay_count", tag = true)private String payCount;// 金额@Column(name = "total_money", tag = true)private String totalMoney;
}
3、创建Mapper
public class InfluxMapper extends InfluxDBMapper {public InfluxMapper(InfluxDB influxDB) {super(influxDB);}
}
4、配置Mapper
@Log4j2
@Configuration
public class InfluxAutoConfiguration {@Beanpublic InfluxMapper influxMapper(InfluxDB influxDB) {InfluxMapper influxMapper = new InfluxMapper(influxDB);return influxMapper;}
}
5、测试CRUD
@SpringBootTest(classes = {MainApplication.class})
@RunWith(SpringJUnit4ClassRunner.class)
public class InfluxdbMapperTest {@Autowiredprivate InfluxMapper influxMapper;@Testpublic void save(OrderPayment product) {influxMapper.save(product);}@Testpublic void queryAll() {List<OrderPayment> products = influxMapper.query(OrderPayment.class);System.out.println(products);}@Testpublic void queryByBu(String bu) {String sql = String.format("%s'%s'", "select * from m_order_payment where bu_id = ", bu);Query query = new Query(sql, "db_order");List<OrderPayment> products = influxMapper.query(query, OrderPayment.class);System.out.println(products);}
}

参考：https://blog.csdn.net/cpongo1/article/details/89550486

https://github.com/SpringForAll/spring-boot-starter-hbase

https://github.com/JeffLi1993/springboot-learning-example

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