OpenTSDB使用总结-(1)
【摘要】
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...
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<String, String> tags; public DataPoint(String metric, Long timestamp, Double value, Map<String, String> tags) { this.metric = metric; this.timestamp = timestamp; this.value = value; this.tags = tags; }
}
private String genWeatherData() { List<DataPoint> dataPoints = new ArrayList<DataPoint>(); Map<String, String> tags = ImmutableMap.of("city", "Shenzhen", "region", "Longgang"); // Data of air temperature dataPoints.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 humidity dataPoints.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 = 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()); } }
}
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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<SubQuery> 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); }
}
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删除数据
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<SubQuery> 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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文章来源: zclhit.blog.csdn.net，作者：zclhit_，版权归原作者所有，如需转载，请联系作者。
原文链接：zclhit.blog.csdn.net/article/details/80682550
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