func (serv MetricsService) QueryRange(expr string, end int64, duration int64, step int64) string {
exprNode, err := rules.LoadExprFromString(expr)
if err != nil {
return ast.ErrorToJSON(err)
}
if exprNode.Type() != ast.VECTOR {
return ast.ErrorToJSON(errors.New("Expression does not evaluate to vector type"))
}
rb := serv.ResponseBuilder()
rb.SetContentType(gorest.Application_Json)
if end == 0 {
end = serv.time.Now().Unix()
}
if step < 1 {
step = 1
}
if end-duration < 0 {
duration = end
}
// Align the start to step "tick" boundary.
end -= end % step
matrix, err := ast.EvalVectorRange(
exprNode.(ast.VectorNode),
time.Unix(end-duration, 0),
time.Unix(end, 0),
time.Duration(step)*time.Second)
if err != nil {
return ast.ErrorToJSON(err)
}
sort.Sort(matrix)
return ast.TypedValueToJSON(matrix, "matrix")
}
// QueryRange handles the /api/query_range endpoint.
func (serv MetricsService) QueryRange(w http.ResponseWriter, r *http.Request) {
setAccessControlHeaders(w)
w.Header().Set("Content-Type", "application/json")
params := httputils.GetQueryParams(r)
expr := params.Get("expr")
// Input times and durations are in seconds and get converted to nanoseconds.
endFloat, _ := strconv.ParseFloat(params.Get("end"), 64)
durationFloat, _ := strconv.ParseFloat(params.Get("range"), 64)
stepFloat, _ := strconv.ParseFloat(params.Get("step"), 64)
nanosPerSecond := int64(time.Second / time.Nanosecond)
end := int64(endFloat) * nanosPerSecond
duration := int64(durationFloat) * nanosPerSecond
step := int64(stepFloat) * nanosPerSecond
exprNode, err := rules.LoadExprFromString(expr)
if err != nil {
fmt.Fprint(w, ast.ErrorToJSON(err))
return
}
if exprNode.Type() != ast.VectorType {
fmt.Fprint(w, ast.ErrorToJSON(errors.New("expression does not evaluate to vector type")))
return
}
if end == 0 {
end = clientmodel.Now().UnixNano()
}
if step <= 0 {
step = nanosPerSecond
}
if end-duration < 0 {
duration = end
}
// For safety, limit the number of returned points per timeseries.
// This is sufficient for 60s resolution for a week or 1h resolution for a year.
if duration/step > 11000 {
fmt.Fprint(w, ast.ErrorToJSON(errors.New("exceeded maximum resolution of 11,000 points per timeseries. Try decreasing the query resolution (?step=XX)")))
return
}
// Align the start to step "tick" boundary.
end -= end % step
queryStats := stats.NewTimerGroup()
evalTimer := queryStats.GetTimer(stats.TotalEvalTime).Start()
matrix, err := ast.EvalVectorRange(
exprNode.(ast.VectorNode),
clientmodel.TimestampFromUnixNano(end-duration),
clientmodel.TimestampFromUnixNano(end),
time.Duration(step),
serv.Storage,
queryStats)
if err != nil {
fmt.Fprint(w, ast.ErrorToJSON(err))
return
}
evalTimer.Stop()
sortTimer := queryStats.GetTimer(stats.ResultSortTime).Start()
sort.Sort(matrix)
sortTimer.Stop()
jsonTimer := queryStats.GetTimer(stats.JSONEncodeTime).Start()
result := ast.TypedValueToJSON(matrix, "matrix")
jsonTimer.Stop()
glog.V(1).Infof("Range query: %s\nQuery stats:\n%s\n", expr, queryStats)
fmt.Fprint(w, result)
}
func (serv MetricsService) QueryRange(w http.ResponseWriter, r *http.Request) {
setAccessControlHeaders(w)
w.Header().Set("Content-Type", "application/json")
params := http_utils.GetQueryParams(r)
expr := params.Get("expr")
end, _ := strconv.ParseInt(params.Get("end"), 0, 64)
duration, _ := strconv.ParseInt(params.Get("range"), 0, 64)
step, _ := strconv.ParseInt(params.Get("step"), 0, 64)
exprNode, err := rules.LoadExprFromString(expr)
if err != nil {
fmt.Fprint(w, ast.ErrorToJSON(err))
return
}
if exprNode.Type() != ast.VECTOR {
fmt.Fprint(w, ast.ErrorToJSON(errors.New("Expression does not evaluate to vector type")))
return
}
if end == 0 {
end = clientmodel.Now().Unix()
}
if step < 1 {
step = 1
}
if end-duration < 0 {
duration = end
}
// Align the start to step "tick" boundary.
end -= end % step
queryStats := stats.NewTimerGroup()
evalTimer := queryStats.GetTimer(stats.TotalEvalTime).Start()
matrix, err := ast.EvalVectorRange(
exprNode.(ast.VectorNode),
clientmodel.TimestampFromUnix(end-duration),
clientmodel.TimestampFromUnix(end),
time.Duration(step)*time.Second,
serv.Storage,
queryStats)
if err != nil {
fmt.Fprint(w, ast.ErrorToJSON(err))
return
}
evalTimer.Stop()
sortTimer := queryStats.GetTimer(stats.ResultSortTime).Start()
sort.Sort(matrix)
sortTimer.Stop()
jsonTimer := queryStats.GetTimer(stats.JsonEncodeTime).Start()
result := ast.TypedValueToJSON(matrix, "matrix")
jsonTimer.Stop()
glog.Infof("Range query: %s\nQuery stats:\n%s\n", expr, queryStats)
fmt.Fprint(w, result)
}
func TestRangedEvaluationRegressions(t *testing.T) {
scenarios := []struct {
in ast.Matrix
out ast.Matrix
expr string
}{
{
// Testing COWMetric behavior in drop_common_labels.
in: ast.Matrix{
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{
clientmodel.MetricNameLabel: "testmetric",
"testlabel": "1",
},
},
Values: metric.Values{
{
Timestamp: testStartTime,
Value: 1,
},
{
Timestamp: testStartTime.Add(time.Hour),
Value: 1,
},
},
},
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{
clientmodel.MetricNameLabel: "testmetric",
"testlabel": "2",
},
},
Values: metric.Values{
{
Timestamp: testStartTime.Add(time.Hour),
Value: 2,
},
},
},
},
out: ast.Matrix{
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{
clientmodel.MetricNameLabel: "testmetric",
},
},
Values: metric.Values{
{
Timestamp: testStartTime,
Value: 1,
},
},
},
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{
clientmodel.MetricNameLabel: "testmetric",
"testlabel": "1",
},
},
Values: metric.Values{
{
Timestamp: testStartTime.Add(time.Hour),
Value: 1,
},
},
},
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{
clientmodel.MetricNameLabel: "testmetric",
"testlabel": "2",
},
},
Values: metric.Values{
{
Timestamp: testStartTime.Add(time.Hour),
Value: 2,
},
},
},
},
expr: "drop_common_labels(testmetric)",
},
{
// Testing COWMetric behavior in vector aggregation.
in: ast.Matrix{
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{
clientmodel.MetricNameLabel: "testmetric",
"testlabel": "1",
},
},
Values: metric.Values{
{
Timestamp: testStartTime,
Value: 1,
},
{
Timestamp: testStartTime.Add(time.Hour),
Value: 1,
},
},
},
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{
clientmodel.MetricNameLabel: "testmetric",
"testlabel": "2",
},
},
Values: metric.Values{
{
Timestamp: testStartTime,
Value: 2,
},
},
},
},
out: ast.Matrix{
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{},
},
Values: metric.Values{
{
Timestamp: testStartTime,
Value: 3,
},
},
},
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{
"testlabel": "1",
},
},
Values: metric.Values{
{
Timestamp: testStartTime.Add(time.Hour),
Value: 1,
},
},
},
},
expr: "sum(testmetric) keeping_extra",
},
}
for i, s := range scenarios {
storage, closer := local.NewTestStorage(t)
storeMatrix(storage, s.in)
expr, err := LoadExprFromString(s.expr)
if err != nil {
t.Fatalf("%d. Error parsing expression: %v", i, err)
}
got, err := ast.EvalVectorRange(
expr.(ast.VectorNode),
testStartTime,
testStartTime.Add(time.Hour),
time.Hour,
storage,
stats.NewTimerGroup(),
)
if err != nil {
t.Fatalf("%d. Error evaluating expression: %v", i, err)
}
if got.String() != s.out.String() {
t.Fatalf("%d. Expression: %s\n\ngot:\n=====\n%v\n====\n\nwant:\n=====\n%v\n=====\n", i, s.expr, got.String(), s.out.String())
}
closer.Close()
}
}
