#|OpenTSDB使用总结-(1)


    • 样例代码
      • 写入数据
      • 查询数据
      • 删除数据

样例代码 写入数据
功能简介
使用OpenTSDB的接口写入数据。函数genWeatherData()模拟生成的气象数据,函数put()发送气象数据到OpenTSDB服务端。
样例代码
private static String PUT_URL = "http://" + OPENTSDB_IP + ":" + OPENTSDB_PORT + "/api/put/?sync&sync_timeout=60000"; static class DataPoint {public String metric; public Long timestamp; public Double value; public Map tags; public DataPoint(String metric, Long timestamp, Double value, Map tags) {this.metric = metric; this.timestamp = timestamp; this.value = https://www.it610.com/article/value; this.tags = tags; }}private String genWeatherData() {List dataPoints = new ArrayList(); Map tags = ImmutableMap.of("city", "Shenzhen", "region", "Longgang"); // Data of air temperaturedataPoints.add(new DataPoint("city.temp", 1498838400L, 28.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498842000L, 27.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498845600L, 27.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498849200L, 27.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498852800L, 27.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498856400L, 27.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498860000L, 27.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498863600L, 27.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498867200L, 29.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498870800L, 30.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498874400L, 32.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498878000L, 32.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498881600L, 33.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498885200L, 33.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498888800L, 32.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498892400L, 32.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498896000L, 31.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498899600L, 30.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498903200L, 30.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498906800L, 29.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498910400L, 29.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498914000L, 29.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498917600L, 28.0, tags)); dataPoints.add(new DataPoint("city.temp", 1498921200L, 28.0, tags)); // Data of humiditydataPoints.add(new DataPoint("city.hum", 1498838400L, 54.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498842000L, 53.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498845600L, 52.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498849200L, 51.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498852800L, 50.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498856400L, 49.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498860000L, 48.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498863600L, 46.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498867200L, 46.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498870800L, 48.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498874400L, 48.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498878000L, 49.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498881600L, 49.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498885200L, 50.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498888800L, 50.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498892400L, 50.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498896000L, 51.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498899600L, 51.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498903200L, 51.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498906800L, 51.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498910400L, 52.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498914000L, 53.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498917600L, 54.0, tags)); dataPoints.add(new DataPoint("city.hum", 1498921200L, 54.0, tags)); Gson gson = new Gson(); return gson.toJson(dataPoints); }public void put() throws ClientProtocolException, IOException {try (CloseableHttpClient httpClient = HttpClients.createDefault()) {HttpPost httpPost = new HttpPost(PUT_URL); String weatherData = https://www.it610.com/article/genWeatherData(); StringEntity entity = new StringEntity(weatherData,"ISO-8859-1"); entity.setContentType("application/json"); httpPost.setEntity(entity); HttpResponse response = httpClient.execute(httpPost); int statusCode = response.getStatusLine().getStatusCode(); System.out.println("Status Code : " + statusCode); if (statusCode != HttpStatus.SC_NO_CONTENT) { System.out.println("Request failed! " + response.getStatusLine()); }}}

查询数据
功能简介
使用OpenTSDB的查询接口读取数据.函数genQueryReq()生成查询请求,函数query()把查询请求发送到OpenTSDB服务端。
样例代码
private static String QUERY_URL = "http://" + OPENTSDB_IP + ":" + OPENTSDB_PORT + "/api/query"; static class Query { public Long start; public Long end; public boolean delete = false; public List queries; }static class SubQuery { public String metric; public String aggregator; public SubQuery(String metric, String aggregator) { this.metric = metric; this.aggregator = aggregator; } }String genQueryReq() { Query query = new Query(); query.start = 1498838400L; query.end = 1498921200L; query.queries = ImmutableList.of(new SubQuery("city.temp", "sum"), new SubQuery("city.hum", "sum")); //查询内部温度湿度取和 Gson gson = new Gson(); return gson.toJson(query); }public void query() throws ClientProtocolException, IOException { try (CloseableHttpClient httpClient = HttpClients.createDefault()) { HttpPost httpPost = new HttpPost(QUERY_URL); String queryRequest = genQueryReq(); //System.out.println("Request=" + queryRequest); StringEntity entity = new StringEntity(queryRequest, "ISO-8859-1"); entity.setContentType("application/json"); httpPost.setEntity(entity); HttpResponse response = httpClient.execute(httpPost); int statusCode = response.getStatusLine().getStatusCode(); System.out.println("Status Code : " + statusCode); if (statusCode != HttpStatus.SC_OK) { System.out.println("Request failed! " + response.getStatusLine()); }String body = EntityUtils.toString(response.getEntity(), "ISO-8859-1"); System.out.println("Response content : " + body); } }

删除数据
【#|OpenTSDB使用总结-(1)】功能简介
使用OpenTSDB的查询接口读取数据,但是要加上delete参数,并且设置为true。函数genQueryReq()生成查询请求,函数query()把查询请求发送到OpenTSDB服务端
样例代码
private static String QUERY_URL = "http://" + OPENTSDB_IP + ":" + OPENTSDB_PORT + "/api/query"; static class Query { public Long start; public Long end; public boolean delete = false; public List queries; }static class SubQuery { public String metric; public String aggregator; public SubQuery(String metric, String aggregator) { this.metric = metric; this.aggregator = aggregator; } }String genQueryReq() { Query query = new Query(); query.start = 1498838400L; query.end = 1498921200L; query.queries = ImmutableList.of(new SubQuery("city.temp", "sum"), new SubQuery("city.hum", "sum")); Gson gson = new Gson(); return gson.toJson(query); }String genDeleteReq() { Query query = new Query(); query.start = 1498838400L; query.end = 1498921200L; query.queries = ImmutableList.of(new SubQuery("city.temp", "sum"), new SubQuery("city.hum", "sum")); query.delete = true; Gson gson = new Gson(); return gson.toJson(query); }public void delete() throws ClientProtocolException, IOException { try (CloseableHttpClient httpClient = HttpClients.createDefault()) { HttpPost httpPost = new HttpPost(QUERY_URL); String deleteRequest = genDeleteReq(); StringEntity entity = new StringEntity(deleteRequest, "ISO-8859-1"); entity.setContentType("application/json"); httpPost.setEntity(entity); HttpResponse response = httpClient.execute(httpPost); int statusCode = response.getStatusLine().getStatusCode(); System.out.println("Status Code : " + statusCode); if (statusCode != HttpStatus.SC_OK) { System.out.println("Request failed! " + response.getStatusLine()); }} }

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