/**
* 查询数据，返回的数据为json格式，结构为： * "[ * " { * " metric: mysql.innodb.row_lock_time, * " tags: { * " host: web01, * " dc: beijing * " }, * " aggregateTags: [], * " dps: { * " 1435716527: 1234, * " 1435716529: 2345 * " } * " }, * " { * " metric: mysql.innodb.row_lock_time, * " tags: { * " host: web02, * " dc: beijing * " }, * " aggregateTags: [], * " dps: { * " 1435716627: 3456 * " } * " } * "]"; * * @param metric 要查询的指标 * @param aggregator 查询的聚合类型, 如: OpentsdbClient.AGGREGATOR_AVG, OpentsdbClient.AGGREGATOR_SUM * @param tagMap 查询的条件 * @param downsample 采样的时间粒度, 如: 1s,2m,1h,1d,2d * @param startTime 查询开始时间,时间格式为yyyy-MM-dd HH:mm:ss * @param endTime 查询结束时间,时间格式为yyyy-MM-dd HH:mm:ss
*/
public string getData(string metric, Dictionary <string, string> tagMap, string aggregator, string downsample, string startTime, string endTime)
{
QueryBuilder queryBuilder = QueryBuilder.getInstance();
Query query = queryBuilder.getQuery();
long starttemp = (DateTimeUtil.parse(startTime, "yyyy-MM-dd HH:mm:ss").ToUniversalTime().Ticks - new DateTime(1970, 1, 1).Ticks) / 10000000;
long endtemp = (DateTimeUtil.parse(endTime, "yyyy-MM-dd HH:mm:ss").ToUniversalTime().Ticks - new DateTime(1970, 1, 1).Ticks) / 10000000;
query.setStart(starttemp);
query.setEnd(endtemp);
List <SubQueries> sqList = new List <SubQueries>();
SubQueries sq = new SubQueries();
sq.addMetric(metric);
sq.addTag(tagMap);
sq.addAggregator(aggregator);
sq.setDownsample(downsample + "-" + aggregator);
sqList.Add(sq);
query.setQueries(sqList);
try
{
log.Info("query request：" + queryBuilder.build()); //这行起到校验作用
SimpleHttpResponse spHttpResponse = httpClient.pushQueries(queryBuilder, ExpectResponse.DETAIL);
log.Debug("response.content:" + spHttpResponse.getContent());
if (spHttpResponse.isSuccess())
{
return(spHttpResponse.getContent());
}
return(null);
}
catch (Exception e)
{
log.Error(e);
throw e;
}
}
public Query addSubQuery(SubQueries subQueries)
{
this.queries.Add(subQueries);
return(this);
}
