コード例 #1
0
ファイル: rrdtool.go プロジェクト: modeyang/graph
func fetch(filename string, cf string, start, end int64, step int) ([]*cmodel.RRDData, error) {
	start_t := time.Unix(start, 0)
	end_t := time.Unix(end, 0)
	step_t := time.Duration(step) * time.Second

	fetchRes, err := rrdlite.Fetch(filename, cf, start_t, end_t, step_t)
	if err != nil {
		return []*cmodel.RRDData{}, err
	}

	defer fetchRes.FreeValues()

	values := fetchRes.Values()
	size := len(values)
	ret := make([]*cmodel.RRDData, size)

	start_ts := fetchRes.Start.Unix()
	step_s := fetchRes.Step.Seconds()

	for i, val := range values {
		ts := start_ts + int64(i+1)*int64(step_s)
		d := &cmodel.RRDData{
			Timestamp: ts,
			Value:     cmodel.JsonFloat(val),
		}
		ret[i] = d
	}

	return ret, nil
}
コード例 #2
0
ファイル: graph_http.go プロジェクト: ZeaLoVe/query
//如果请求的不同counter的采集周期不一致,或者不同的采集频率,可能出现不准确
func (this *EChartsData) GetEchartsData(datas []*cmodel.GraphQueryResponse) {
	if this.Data == nil {
		this.Data = make(map[string]([]interface{}))
	}
	var max int
	var index int
	for i, _ := range datas {
		if max < len(datas[i].Values) {
			max = len(datas[i].Values)
			index = i
		}
	}
	counter := datas[index].Counter
	for _, val := range datas[index].Values {
		this.Timestamp = append(this.Timestamp, val.Timestamp)
	}
	for i, _ := range datas {
		counter = datas[i].Counter
		for j, val := range datas[i].Values {
			if val.Timestamp == this.Timestamp[j] {
				this.Data[counter] = append(this.Data[counter], val.Value)
			} else {
				this.Data[counter] = append(this.Data[counter], cmodel.JsonFloat(math.NaN())) //not data
			}
		}
	}
}
コード例 #3
0
ファイル: graph.go プロジェクト: hitripod/query
func QueryOne(para cmodel.GraphQueryParam) (resp *cmodel.GraphQueryResponse, err error) {
	start, end := para.Start, para.End
	endpoint, counter := para.Endpoint, para.Counter

	pool, addr, err := selectPool(endpoint, counter)
	if err != nil {
		return nil, err
	}

	conn, err := pool.Fetch()
	if err != nil {
		return nil, err
	}

	rpcConn := conn.(spool.RpcClient)
	if rpcConn.Closed() {
		pool.ForceClose(conn)
		return nil, errors.New("conn closed")
	}

	type ChResult struct {
		Err  error
		Resp *cmodel.GraphQueryResponse
	}

	ch := make(chan *ChResult, 1)
	go func() {
		resp := &cmodel.GraphQueryResponse{}
		err := rpcConn.Call("Graph.Query", para, resp)
		ch <- &ChResult{Err: err, Resp: resp}
	}()

	select {
	case <-time.After(time.Duration(g.Config().Graph.CallTimeout) * time.Millisecond):
		pool.ForceClose(conn)
		return nil, fmt.Errorf("%s, call timeout. proc: %s", addr, pool.Proc())
	case r := <-ch:
		if r.Err != nil {
			pool.ForceClose(conn)
			return r.Resp, fmt.Errorf("%s, call failed, err %v. proc: %s", addr, r.Err, pool.Proc())
		} else {
			pool.Release(conn)

			if len(r.Resp.Values) < 1 {
				return r.Resp, nil
			}

			// TODO query不该做这些事情, 说明graph没做好
			fixed := []*cmodel.RRDData{}
			for _, v := range r.Resp.Values {
				if v == nil || !(v.Timestamp >= start && v.Timestamp <= end) {
					continue
				}
				//FIXME: 查询数据的时候,把所有的负值都过滤掉,因为transfer之前在设置最小值的时候为U
				if (r.Resp.DsType == "DERIVE" || r.Resp.DsType == "COUNTER") && v.Value < 0 {
					fixed = append(fixed, &cmodel.RRDData{Timestamp: v.Timestamp, Value: cmodel.JsonFloat(math.NaN())})
				} else {
					fixed = append(fixed, v)
				}
			}
			r.Resp.Values = fixed
		}
		return r.Resp, nil
	}
}
コード例 #4
0
ファイル: graph.go プロジェクト: peteryj/graph
func (this *Graph) Query(param cmodel.GraphQueryParam, resp *cmodel.GraphQueryResponse) error {
	// statistics
	proc.GraphQueryCnt.Incr()

	resp.Values = []*cmodel.RRDData{}
	dsType, step, exists := index.GetTypeAndStep(param.Endpoint, param.Counter)
	if !exists {
		return nil
	}

	md5 := cutils.Md5(param.Endpoint + "/" + param.Counter)
	filename := fmt.Sprintf("%s/%s/%s_%s_%d.rrd", g.Config().RRD.Storage, md5[0:2], md5, dsType, step)
	datas, err := rrdtool.Fetch(filename, param.ConsolFun, param.Start, param.End, step)
	if err != nil {
		if store.GraphItems.LenOf(md5) <= 2 {
			return nil
		}
		// TODO not atomic, fix me
		items := store.GraphItems.PopAll(md5)
		size := len(items)
		if size > 2 {
			filename := fmt.Sprintf("%s/%s/%s_%s_%d.rrd", g.Config().RRD.Storage, md5[0:2],
				md5, items[0].DsType, items[0].Step)
			err := rrdtool.Flush(filename, items)
			if err != nil && g.Config().Debug && g.Config().DebugChecksum == md5 {
				log.Println("flush fail:", err, "filename:", filename)
			}
		} else {
			return nil
		}
	}
	items := store.GraphItems.FetchAll(md5)

	// merge
	items_size := len(items)
	datas_size := len(datas)
	if items_size > 1 && datas_size > 2 &&
		int(datas[1].Timestamp-datas[0].Timestamp) == step &&
		items[items_size-1].Timestamp > datas[0].Timestamp {

		var val cmodel.JsonFloat
		cache_size := int(items[items_size-1].Timestamp-items[0].Timestamp)/step + 1
		cache := make([]*cmodel.RRDData, cache_size, cache_size)

		//fix items
		items_idx := 0
		ts := items[0].Timestamp
		if dsType == g.DERIVE || dsType == g.COUNTER {
			for i := 0; i < cache_size; i++ {
				if items_idx < items_size-1 &&
					ts == items[items_idx].Timestamp &&
					ts != items[items_idx+1].Timestamp {
					val = cmodel.JsonFloat(items[items_idx+1].Value-items[items_idx].Value) /
						cmodel.JsonFloat(items[items_idx+1].Timestamp-items[items_idx].Timestamp)
					if val < 0 {
						val = cmodel.JsonFloat(math.NaN())
					}
					items_idx++
				} else {
					// miss
					val = cmodel.JsonFloat(math.NaN())
				}
				cache[i] = &cmodel.RRDData{
					Timestamp: ts,
					Value:     val,
				}
				ts = ts + int64(step)
			}
		} else if dsType == g.GAUGE {
			for i := 0; i < cache_size; i++ {
				if items_idx < items_size && ts == items[items_idx].Timestamp {
					val = cmodel.JsonFloat(items[items_idx].Value)
					items_idx++
				} else {
					// miss
					val = cmodel.JsonFloat(math.NaN())
				}
				cache[i] = &cmodel.RRDData{
					Timestamp: ts,
					Value:     val,
				}
				ts = ts + int64(step)
			}
		} else {
			log.Println("not support dstype")
			return nil
		}

		size := int(items[items_size-1].Timestamp-datas[0].Timestamp)/step + 1
		ret := make([]*cmodel.RRDData, size, size)
		cache_idx := 0
		ts = datas[0].Timestamp

		if g.Config().Debug && g.Config().DebugChecksum == md5 {
			log.Println("param.start", param.Start, "param.End:", param.End,
				"items:", items, "datas:", datas)
		}

		for i := 0; i < size; i++ {
			if g.Config().Debug && g.Config().DebugChecksum == md5 {
				log.Println("i", i, "size:", size, "items_idx:", items_idx, "ts:", ts)
			}
			if i < datas_size {
				if ts == cache[cache_idx].Timestamp {
					if math.IsNaN(float64(cache[cache_idx].Value)) {
						val = datas[i].Value
					} else {
						val = cache[cache_idx].Value
					}
					cache_idx++
				} else {
					val = datas[i].Value
				}
			} else {
				if cache_idx < cache_size && ts == cache[cache_idx].Timestamp {
					val = cache[cache_idx].Value
					cache_idx++
				} else {
					//miss
					val = cmodel.JsonFloat(math.NaN())
				}
			}
			ret[i] = &cmodel.RRDData{
				Timestamp: ts,
				Value:     val,
			}
			ts = ts + int64(step)
		}
		resp.Values = ret
	} else {
		resp.Values = datas
	}

	resp.Endpoint = param.Endpoint
	resp.Counter = param.Counter
	resp.DsType = dsType
	resp.Step = step

	// statistics
	proc.GraphQueryItemCnt.IncrBy(int64(len(resp.Values)))
	return nil
}
コード例 #5
0
ファイル: api.go プロジェクト: Jimbean0615/query
func QueryOne(start, end int64, cf, endpoint, counter string) (r *model.GraphQueryResponse, err error) {
	pool, err := selectPool(endpoint, counter)
	if err != nil {
		return nil, err
	}

	conn, err := pool.Get()
	if err != nil {
		return nil, err
	}

	rpc_conn := conn.(RpcConn)
	if rpc_conn.cli == nil {
		pool.CloseClean(conn)
		return nil, errors.New("nil rpc conn")
	}

	type ChResult struct {
		Err  error
		Resp *model.GraphQueryResponse
	}
	ch := make(chan *ChResult, 1)
	go func() {
		param := model.GraphQueryParam{
			Start:     start,
			End:       end,
			ConsolFun: cf,
			Endpoint:  endpoint,
			Counter:   counter,
		}
		resp := &model.GraphQueryResponse{}
		err := rpc_conn.cli.Call("Graph.Query", param, resp)
		r := &ChResult{
			Err:  err,
			Resp: resp,
		}
		ch <- r
	}()

	cfg := g.Config().Graph
	select {
	case r := <-ch:
		if r.Err != nil {
			pool.CloseClean(conn)
			return nil, r.Err
		} else {
			pool.Release(conn)
			logger.Trace("graph: query graph resp: %v, addr: %v", r.Resp, pool.Name)

			fixedResp := &model.GraphQueryResponse{
				Endpoint: r.Resp.Endpoint,
				Counter:  r.Resp.Counter,
				DsType:   r.Resp.DsType,
				Step:     r.Resp.Step,
			}
			size := len(r.Resp.Values)

			//NOTICE:最后一个点是坏点,过滤点,可能是rrdtool的bug
			if size < 1 {
				return fixedResp, nil
			} else {
				dsType := r.Resp.DsType
				fixedValues := []*model.RRDData{}
				for _, v := range r.Resp.Values[0:size] {
					if v == nil {
						continue
					}
					if v.Timestamp < start || v.Timestamp > end {
						continue
					}
					//FIXME: 查询数据的时候,把所有的负值都过滤掉,因为transfer之前在设置最小值的时候为U
					if (dsType == "DERIVE" || dsType == "COUNTER") && v.Value < 0 {
						fixedValues = append(fixedValues, &model.RRDData{
							Timestamp: v.Timestamp,
							Value:     model.JsonFloat(math.NaN()),
						})
					} else {
						fixedValues = append(fixedValues, v)
					}
				}
				fixedResp.Values = fixedValues
				return fixedResp, nil
			}
		}

	case <-time.After(time.Duration(cfg.Timeout) * time.Millisecond):
		pool.Release(conn)
		logger.Trace("query graph timeout err: i/o timeout, addr: %v", pool.Name)
		return nil, errors.New("i/o timeout")
	}

}
コード例 #6
0
ファイル: graph.go プロジェクト: beta-danche/graph
func (this *Graph) Query(param cmodel.GraphQueryParam, resp *cmodel.GraphQueryResponse) error {
	// statistics
	proc.GraphQueryCnt.Incr()

	// form empty response
	resp.Values = []*cmodel.RRDData{}
	resp.Endpoint = param.Endpoint
	resp.Counter = param.Counter
	dsType, step, exists := index.GetTypeAndStep(param.Endpoint, param.Counter) // complete dsType and step
	if !exists {
		return nil
	}
	resp.DsType = dsType
	resp.Step = step

	start_ts := param.Start - param.Start%int64(step)
	end_ts := param.End - param.End%int64(step) + int64(step)
	if end_ts-start_ts-int64(step) < 1 {
		return nil
	}

	md5 := cutils.Md5(param.Endpoint + "/" + param.Counter)
	ckey := g.FormRrdCacheKey(md5, dsType, step)
	filename := g.RrdFileName(g.Config().RRD.Storage, md5, dsType, step)
	// read data from rrd file
	datas, _ := rrdtool.Fetch(filename, param.ConsolFun, start_ts, end_ts, step)
	datas_size := len(datas)
	// read cached items
	items := store.GraphItems.FetchAll(ckey)
	items_size := len(items)

	nowTs := time.Now().Unix()
	lastUpTs := nowTs - nowTs%int64(step)
	rra1StartTs := lastUpTs - int64(rrdtool.RRA1PointCnt*step)
	// consolidated, do not merge
	if start_ts < rra1StartTs {
		resp.Values = datas
		goto _RETURN_OK
	}

	// no cached items, do not merge
	if items_size < 1 {
		resp.Values = datas
		goto _RETURN_OK
	}

	// merge
	{
		// fmt cached items
		var val cmodel.JsonFloat
		cache := make([]*cmodel.RRDData, 0)

		ts := items[0].Timestamp
		itemEndTs := items[items_size-1].Timestamp
		itemIdx := 0
		if dsType == g.DERIVE || dsType == g.COUNTER {
			for ts < itemEndTs {
				if itemIdx < items_size-1 && ts == items[itemIdx].Timestamp &&
					ts == items[itemIdx+1].Timestamp-int64(step) {
					val = cmodel.JsonFloat(items[itemIdx+1].Value-items[itemIdx].Value) / cmodel.JsonFloat(step)
					if val < 0 {
						val = cmodel.JsonFloat(math.NaN())
					}
					itemIdx++
				} else {
					// missing
					val = cmodel.JsonFloat(math.NaN())
				}

				if ts >= start_ts && ts <= end_ts {
					cache = append(cache, &cmodel.RRDData{Timestamp: ts, Value: val})
				}
				ts = ts + int64(step)
			}
		} else if dsType == g.GAUGE {
			for ts <= itemEndTs {
				if itemIdx < items_size && ts == items[itemIdx].Timestamp {
					val = cmodel.JsonFloat(items[itemIdx].Value)
					itemIdx++
				} else {
					// missing
					val = cmodel.JsonFloat(math.NaN())
				}

				if ts >= start_ts && ts <= end_ts {
					cache = append(cache, &cmodel.RRDData{Timestamp: ts, Value: val})
				}
				ts = ts + int64(step)
			}
		}
		cache_size := len(cache)

		// do merging
		merged := make([]*cmodel.RRDData, 0)
		if datas_size > 0 {
			for _, val := range datas {
				if val.Timestamp >= start_ts && val.Timestamp <= end_ts {
					merged = append(merged, val) //rrdtool返回的数据,时间戳是连续的、不会有跳点的情况
				}
			}
		}

		if cache_size > 0 {
			rrdDataSize := len(merged)
			lastTs := cache[0].Timestamp

			// find junction
			rrdDataIdx := 0
			for rrdDataIdx = rrdDataSize - 1; rrdDataIdx >= 0; rrdDataIdx-- {
				if merged[rrdDataIdx].Timestamp < cache[0].Timestamp {
					lastTs = merged[rrdDataIdx].Timestamp
					break
				}
			}

			// fix missing
			for ts := lastTs + int64(step); ts < cache[0].Timestamp; ts += int64(step) {
				merged = append(merged, &cmodel.RRDData{Timestamp: ts, Value: cmodel.JsonFloat(math.NaN())})
			}

			// merge cached items to result
			rrdDataIdx += 1
			for cacheIdx := 0; cacheIdx < cache_size; cacheIdx++ {
				if rrdDataIdx < rrdDataSize {
					if !math.IsNaN(float64(cache[cacheIdx].Value)) {
						merged[rrdDataIdx] = cache[cacheIdx]
					}
				} else {
					merged = append(merged, cache[cacheIdx])
				}
				rrdDataIdx++
			}
		}
		mergedSize := len(merged)

		// fmt result
		ret_size := int((end_ts - start_ts) / int64(step))
		ret := make([]*cmodel.RRDData, ret_size, ret_size)
		mergedIdx := 0
		ts = start_ts
		for i := 0; i < ret_size; i++ {
			if mergedIdx < mergedSize && ts == merged[mergedIdx].Timestamp {
				ret[i] = merged[mergedIdx]
				mergedIdx++
			} else {
				ret[i] = &cmodel.RRDData{Timestamp: ts, Value: cmodel.JsonFloat(math.NaN())}
			}
			ts += int64(step)
		}
		resp.Values = ret
	}

_RETURN_OK:
	// statistics
	proc.GraphQueryItemCnt.IncrBy(int64(len(resp.Values)))
	return nil
}