springboot 整合hbase的示例代码
作者：天道酬勤的博客
这篇文章主要介绍了springboot 整合hbase的示例代码,本篇详细总结了hbase的Java客户端的使用，在实际开发过程中，还需要结合自身的情况做更加细致的整合与优化，需要的朋友可以参考下
一、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.org
property:
clientPort: 2181
data:
hbase:
quorum: XXX
rootDir: XXX
nodeParent: XXX
zookeeper:
znode:
parent: /hbase
3、添加配置类
@Configuration
public class HBaseConfig {
@Bean
public 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.xml
org.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 family
List<ColumnFamilyDescriptor> cfDesc = new ArrayList<>(columnFamily.size());
columnFamily.forEach(cf -> {
cfDesc.add(ColumnFamilyDescriptorBuilder.newBuilder(
Bytes.toBytes(cf)).build());
});
//表 table
TableDescriptor 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rowkey
Put 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 {
@Resource
private HBaseService hbaseService;
//测试创建表
@Test
public void testCreateTable() {
hbaseService.creatTable("test_base", Arrays.asList("a", "back"));
}
//测试加入数据
@Test
public 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
@Test
public 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);
});
}
}
二、使用spring-data-hadoop-hbase
1、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;
@Bean
public 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);
}
}
2、业务类中使用HbaseTemplate
这个是作为工具类
@Service
@Slf4j
public class HBaseService {
@Autowired
private 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());
}
}
三、使用spring-boot-starter-data-hbase
## 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
1、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
2、定义好DTO
@Data
public class City {
private Long id;
private Integer age;
private String cityName;
}
3、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();
@Override
public 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;
}
}
4、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);
}
}
四、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_sensor1
password: admin
url: http://127.0.0.1:6086
user: 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("${spring.influx.database}")
private String database;
@Bean("influxDB")
public InfluxDB influxdb(){
InfluxDB influxDB = InfluxDBFactory.connect(influxDBUrl, userName, password);
try {
/**
* 异步插入：
* enableBatch这里第一个是point的个数，第二个是时间，单位毫秒
* point的个数和时间是联合使用的，如果满100条或者60 * 1000毫秒
* 满足任何一个条件就会发送一次写的请求。
*/
influxDB.setDatabase(database).enableBatch(100,1000 * 60, TimeUnit.MILLISECONDS);
} catch (Exception e) {
e.printStackTrace();
} finally {
//设置默认策略
influxDB.setRetentionPolicy("sensor_retention");
}
//设置日志输出级别
influxDB.setLogLevel(InfluxDB.LogLevel.BASIC);
return influxDB;
}
}
4、InfluxDB原生API实现
@SpringBootTest(classes = {MainApplication.class})
@RunWith(SpringJUnit4ClassRunner.class)
public class InfluxdbDBTest {
@Autowired
private InfluxDB influxDB;
//measurement
private final String measurement = "sensor";
@Value("${spring.influx.database}")
private String database;
/**
* 批量插入第一种方式
*/
@Test
public 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
*/
@Test
public 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
*/
@Test
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 "
// 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 {
@Autowired
private 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
*/
@SneakyThrows
public 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field
if(field.get(obj) != null){
builder.addField(column.name(), field.get(obj).toString());
}
}
}
influxDB.write(builder.build());
}
/**
* 批量新增,方法一
*/
@SneakyThrows
public 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field
if(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
*/
@SneakyThrows
public 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field
if(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
*/
@SneakyThrows
public <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 {
@Autowired
private InfluxdbUtils influxdbUtils;
/**
* 插入单条记录
*/
@Test
public 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 {
@Bean
public 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 {
@Autowired
private InfluxMapper influxMapper;
@Test
public void save(OrderPayment product) {
influxMapper.save(product);
}
@Test
public void queryAll() {
List<OrderPayment> products = influxMapper.query(OrderPayment.class);
System.out.println(products);
}
@Test
public 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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