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instant_query_test.go
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package instantquery
import (
"bytes"
"compress/gzip"
"context"
"errors"
"fmt"
"io"
"net/http"
"strconv"
"testing"
"time"
"github.com/prometheus/common/model"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
"github.com/weaveworks/common/httpgrpc"
"github.com/weaveworks/common/user"
"github.com/cortexproject/cortex/pkg/cortexpb"
"github.com/cortexproject/cortex/pkg/querier/tripperware"
)
const testHistogramResponse = `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"prometheus_http_request_duration_seconds","handler":"/metrics","instance":"localhost:9090","job":"prometheus"},"histogram":[1719528871.898,{"count":"6342","sum":"43.31319875499995","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"],[0,"0.0015060652591874421","0.001642375811042411","7"],[0,"0.001642375811042411","0.0017910235218841233","5"],[0,"0.0017910235218841233","0.001953125","13"],[0,"0.001953125","0.0021298979153618314","19"],[0,"0.0021298979153618314","0.0023226701464896895","13"],[0,"0.0023226701464896895","0.002532889755177753","13"],[0,"0.002532889755177753","0.002762135864009951","15"],[0,"0.002762135864009951","0.0030121305183748843","12"],[0,"0.0030121305183748843","0.003284751622084822","34"],[0,"0.003284751622084822","0.0035820470437682465","188"],[0,"0.0035820470437682465","0.00390625","372"],[0,"0.00390625","0.004259795830723663","400"],[0,"0.004259795830723663","0.004645340292979379","411"],[0,"0.004645340292979379","0.005065779510355506","425"],[0,"0.005065779510355506","0.005524271728019902","425"],[0,"0.005524271728019902","0.0060242610367497685","521"],[0,"0.0060242610367497685","0.006569503244169644","621"],[0,"0.006569503244169644","0.007164094087536493","593"],[0,"0.007164094087536493","0.0078125","506"],[0,"0.0078125","0.008519591661447326","458"],[0,"0.008519591661447326","0.009290680585958758","346"],[0,"0.009290680585958758","0.010131559020711013","285"],[0,"0.010131559020711013","0.011048543456039804","196"],[0,"0.011048543456039804","0.012048522073499537","129"],[0,"0.012048522073499537","0.013139006488339287","85"],[0,"0.013139006488339287","0.014328188175072986","65"],[0,"0.014328188175072986","0.015625","54"],[0,"0.015625","0.01703918332289465","53"],[0,"0.01703918332289465","0.018581361171917516","20"],[0,"0.018581361171917516","0.020263118041422026","21"],[0,"0.020263118041422026","0.022097086912079608","15"],[0,"0.022097086912079608","0.024097044146999074","11"],[0,"0.024097044146999074","0.026278012976678575","2"],[0,"0.026278012976678575","0.028656376350145972","3"],[0,"0.028656376350145972","0.03125","3"],[0,"0.04052623608284405","0.044194173824159216","2"]]}]}]}}`
func TestRequest(t *testing.T) {
t.Parallel()
codec := InstantQueryCodec
for _, tc := range []struct {
url string
expectedURL string
expected *tripperware.PrometheusRequest
expectedErr error
}{
{
url: "/api/v1/query?query=sum%28container_memory_rss%29+by+%28namespace%29&stats=all&time=1536673680",
expectedURL: "/api/v1/query?query=sum%28container_memory_rss%29+by+%28namespace%29&stats=all&time=1536673680",
expected: &tripperware.PrometheusRequest{
Path: "/api/v1/query",
Time: 1536673680 * 1e3,
Query: "sum(container_memory_rss) by (namespace)",
Stats: "all",
Headers: map[string][]string{
"Test-Header": {"test"},
},
},
},
{
url: "/api/v1/query?query=sum%28container_memory_rss%29+by+%28namespace%29&time=1536673680",
expectedURL: "/api/v1/query?query=sum%28container_memory_rss%29+by+%28namespace%29&time=1536673680",
expected: &tripperware.PrometheusRequest{
Path: "/api/v1/query",
Time: 1536673680 * 1e3,
Query: "sum(container_memory_rss) by (namespace)",
Stats: "",
Headers: map[string][]string{
"Test-Header": {"test"},
},
},
},
{
url: "/api/v1/query?query=sum%28container_memory_rss%29+by+%28namespace%29",
expectedURL: "/api/v1/query?query=sum%28container_memory_rss%29+by+%28namespace%29&time=",
expected: &tripperware.PrometheusRequest{
Path: "/api/v1/query",
Time: 0,
Query: "sum(container_memory_rss) by (namespace)",
Stats: "",
Headers: map[string][]string{
"Test-Header": {"test"},
},
},
},
} {
tc := tc
t.Run(tc.url, func(t *testing.T) {
t.Parallel()
r, err := http.NewRequest("GET", tc.url, nil)
require.NoError(t, err)
r.Header.Add("Test-Header", "test")
ctx := user.InjectOrgID(context.Background(), "1")
// Get a deep copy of the request with Context changed to ctx
r = r.Clone(ctx)
if tc.expected.Time == 0 {
now := time.Now()
tc.expectedURL = fmt.Sprintf("%s%d", tc.expectedURL, now.Unix())
tc.expected.Time = now.Unix() * 1e3
}
req, err := codec.DecodeRequest(ctx, r, []string{"Test-Header"})
if err != nil {
require.EqualValues(t, tc.expectedErr, err)
return
}
require.EqualValues(t, tc.expected, req)
rdash, err := codec.EncodeRequest(context.Background(), req)
require.NoError(t, err)
require.EqualValues(t, tc.expectedURL, rdash.RequestURI)
})
}
}
func TestGzippedResponse(t *testing.T) {
t.Parallel()
for _, tc := range []struct {
body string
status int
err error
}{
{
body: `{"status":"success","data":{"resultType":"string","result":[1,"foo"]}}`,
status: 200,
},
{
body: `error generic 400`,
status: 400,
err: httpgrpc.Errorf(400, "error generic 400"),
},
{
status: 400,
err: httpgrpc.Errorf(400, ""),
},
} {
for _, c := range []bool{true, false} {
c := c
t.Run(fmt.Sprintf("compressed %t [%s]", c, tc.body), func(t *testing.T) {
t.Parallel()
h := http.Header{
"Content-Type": []string{"application/json"},
}
responseBody := bytes.NewBuffer([]byte(tc.body))
if c {
h.Set("Content-Encoding", "gzip")
var buf bytes.Buffer
w := gzip.NewWriter(&buf)
_, err := w.Write([]byte(tc.body))
require.NoError(t, err)
w.Close()
responseBody = &buf
}
response := &http.Response{
StatusCode: tc.status,
Header: h,
Body: io.NopCloser(responseBody),
}
r, err := InstantQueryCodec.DecodeResponse(context.Background(), response, nil)
require.Equal(t, tc.err, err)
if err == nil {
resp, err := json.Marshal(r)
require.NoError(t, err)
require.Equal(t, tc.body, string(resp))
}
})
}
}
}
func TestResponse(t *testing.T) {
t.Parallel()
for i, tc := range []struct {
body string
}{
{
body: `{"status":"success","data":{"resultType":"string","result":[1,"foo"]}}`,
},
{
body: `{"status":"success","data":{"resultType":"string","result":[1,"foo"],"stats":{"samples":{"totalQueryableSamples":10,"totalQueryableSamplesPerStep":[[1536673680,5],[1536673780,5]],"peakSamples":10}}}}`,
},
{
body: `{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"foo":"bar"},"values":[[1,"137"],[2,"137"]]}],"stats":{"samples":{"totalQueryableSamples":10,"totalQueryableSamplesPerStep":[[1536673680,5],[1536673780,5]],"peakSamples":10}}}}`,
},
{
body: `{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"foo":"bar"},"values":[[1,"137"],[2,"137"]]}]}}`,
},
{
body: `{"status":"success","data":{"resultType":"scalar","result":[1,"13"]}}`,
},
{
body: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{},"value":[1,"1266464.0146205237"]}]}}`,
},
{
body: testHistogramResponse,
},
} {
tc := tc
t.Run(strconv.Itoa(i), func(t *testing.T) {
t.Parallel()
response := &http.Response{
StatusCode: 200,
Header: http.Header{"Content-Type": []string{"application/json"}},
Body: io.NopCloser(bytes.NewBuffer([]byte(tc.body))),
}
resp, err := InstantQueryCodec.DecodeResponse(context.Background(), response, nil)
require.NoError(t, err)
// Reset response, as the above call will have consumed the body reader.
response = &http.Response{
StatusCode: 200,
Header: http.Header{"Content-Type": []string{"application/json"}},
Body: io.NopCloser(bytes.NewBuffer([]byte(tc.body))),
ContentLength: int64(len(tc.body)),
}
resp2, err := InstantQueryCodec.EncodeResponse(context.Background(), resp)
require.NoError(t, err)
assert.Equal(t, response, resp2)
})
}
}
func TestMergeResponse(t *testing.T) {
t.Parallel()
defaultReq := &tripperware.PrometheusRequest{
Query: "sum(up)",
}
for _, tc := range []struct {
name string
req tripperware.Request
resps []string
expectedResp string
expectedErr error
cancelBeforeDecode bool
expectedDecodeErr error
cancelBeforeMerge bool
}{
{
name: "empty response",
req: defaultReq,
resps: []string{`{"status":"success","data":{"resultType":"vector","result":[]}}`},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[]}}`,
},
{
name: "empty response with stats",
req: defaultReq,
resps: []string{`{"status":"success","data":{"resultType":"vector","result":[],"stats":{"samples":{"totalQueryableSamples":0,"totalQueryableSamplesPerStep":[],"peakSamples":0}}}}`},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[],"stats":{"samples":{"totalQueryableSamples":0,"totalQueryableSamplesPerStep":[],"peakSamples":0}}}}`,
},
{
name: "single response",
req: defaultReq,
resps: []string{`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up"},"value":[1,"1"]}]}}`},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up"},"value":[1,"1"]}]}}`,
},
{
name: "single response with stats",
req: defaultReq,
resps: []string{`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up"},"value":[1,"1"]}],"stats":{"samples":{"totalQueryableSamples":10,"totalQueryableSamplesPerStep":[[1,10]],"peakSamples":10}}}}`},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up"},"value":[1,"1"]}],"stats":{"samples":{"totalQueryableSamples":10,"totalQueryableSamplesPerStep":[[1,10]],"peakSamples":10}}}}`,
},
{
name: "duplicated response",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up"},"value":[1,"1"]}]}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up"},"value":[1,"1"]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up"},"value":[1,"1"]}]}}`,
},
{
name: "duplicated histogram responses",
req: defaultReq,
resps: []string{testHistogramResponse, testHistogramResponse},
expectedResp: testHistogramResponse,
},
{
name: "duplicated response with stats",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up"},"value":[1,"1"]}],"stats":{"samples":{"totalQueryableSamples":10,"totalQueryableSamplesPerStep":[[1,10]],"peakSamples":10}}}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up"},"value":[1,"1"]}],"stats":{"samples":{"totalQueryableSamples":10,"totalQueryableSamplesPerStep":[[1,10]],"peakSamples":10}}}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up"},"value":[1,"1"]}],"stats":{"samples":{"totalQueryableSamples":20,"totalQueryableSamplesPerStep":[[1,20]],"peakSamples":10}}}}`,
},
{
name: "merge two responses",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}]}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[2,"2"]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[2,"2"]},{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}]}}`,
},
{
name: "merge two histogram responses",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"histogram":[1719528871.898,{"count":"6342","sum":"43.31319875499995","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]}]}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"histogram":[1719528800,{"count":"1","sum":"0","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"histogram":[1719528800,{"count":"1","sum":"0","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]},{"metric":{"__name__":"up","job":"foo"},"histogram":[1719528871.898,{"count":"6342","sum":"43.31319875499995","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]}]}}`,
},
{
name: "merge two responses with sort",
req: &tripperware.PrometheusRequest{Query: "sort(sum by (job) (up))"},
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}]}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[1,"2"]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]},{"metric":{"__name__":"up","job":"bar"},"value":[1,"2"]}]}}`,
},
{
name: "merge two histogram responses with sort",
req: &tripperware.PrometheusRequest{Query: "sort(sum by (job) (up))"},
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"histogram":[1719528871.898,{"count":"6342","sum":"43.31319875499995","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]}]}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"histogram":[1719528880,{"count":"1","sum":"0","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"histogram":[1719528880,{"count":"1","sum":"0","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]},{"metric":{"__name__":"up","job":"foo"},"histogram":[1719528871.898,{"count":"6342","sum":"43.31319875499995","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]}]}}`,
},
{
name: "merge two responses with sort_desc",
req: &tripperware.PrometheusRequest{Query: "sort_desc(sum by (job) (up))"},
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}]}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[1,"2"]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[1,"2"]},{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}]}}`,
},
{
name: "merge two histogram responses with sort_desc",
req: &tripperware.PrometheusRequest{Query: "sort_desc(sum by (job) (up))"},
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"histogram":[1719528871.898,{"count":"6342","sum":"43.31319875499995","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]}]}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"histogram":[1719528880,{"count":"1","sum":"0","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"histogram":[1719528871.898,{"count":"6342","sum":"43.31319875499995","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]},{"metric":{"__name__":"up","job":"bar"},"histogram":[1719528880,{"count":"1","sum":"0","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]}]}}`,
},
{
name: "merge two responses with topk",
req: &tripperware.PrometheusRequest{Query: "topk(10, up) by(job)"},
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}]}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[1,"2"]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]},{"metric":{"__name__":"up","job":"bar"},"value":[1,"2"]}]}}`,
},
{
name: "merge two histogram responses with topk",
req: &tripperware.PrometheusRequest{Query: "topk(10, up) by(job)"},
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"histogram":[1719528871.898,{"count":"6342","sum":"43.31319875499995","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]}]}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"histogram":[1719528880,{"count":"1","sum":"0","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"histogram":[1719528871.898,{"count":"6342","sum":"43.31319875499995","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]},{"metric":{"__name__":"up","job":"bar"},"histogram":[1719528880,{"count":"1","sum":"0","buckets":[[0,"0.0013810679320049755","0.0015060652591874421","1"]]}]}]}}`,
},
{
name: "merge with warnings.",
req: &tripperware.PrometheusRequest{Query: "topk(10, up) by(job)"},
resps: []string{
`{"status":"success","warnings":["warning1","warning2"],"data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}]}}`,
`{"status":"success","warnings":["warning1","warning3"],"data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[1,"2"]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]},{"metric":{"__name__":"up","job":"bar"},"value":[1,"2"]}]},"warnings":["warning1","warning2","warning3"]}`,
},
{
name: "merge with infos.",
req: &tripperware.PrometheusRequest{Query: "topk(10, up) by(job)"},
resps: []string{
`{"status":"success","infos":["info1","info2"],"data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}]}}`,
`{"status":"success","infos":["info1","info3"],"data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[1,"2"]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]},{"metric":{"__name__":"up","job":"bar"},"value":[1,"2"]}]},"infos":["info1","info2","info3"]}`,
},
{
name: "merge two responses with stats",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}],"stats":{"samples":{"totalQueryableSamples":10,"totalQueryableSamplesPerStep":[[1,10]],"peakSamples":10}}}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[2,"2"]}],"stats":{"samples":{"totalQueryableSamples":10,"totalQueryableSamplesPerStep":[[1,10]],"peakSamples":10}}}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[2,"2"]},{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}],"stats":{"samples":{"totalQueryableSamples":20,"totalQueryableSamplesPerStep":[[1,20]],"peakSamples":10}}}}`,
},
{
name: "merge two responses with stats, the peak samples should be larger one among the responses",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}],"stats":{"samples":{"totalQueryableSamples":10,"totalQueryableSamplesPerStep":[[1,10]],"peakSamples":10}}}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[2,"2"]}],"stats":{"samples":{"totalQueryableSamples":10,"totalQueryableSamplesPerStep":[[1,10]],"peakSamples":15}}}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[2,"2"]},{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}],"stats":{"samples":{"totalQueryableSamples":20,"totalQueryableSamplesPerStep":[[1,20]],"peakSamples":15}}}}`,
},
{
name: "responses don't contain vector, should return an error",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"string","result":[1662682521.409,"foo"]}}`,
`{"status":"success","data":{"resultType":"string","result":[1662682521.409,"foo"]}}`,
},
expectedErr: errors.New("unexpected result type: string"),
},
{
name: "single matrix response",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"up"},"values":[[1,"1"],[2,"2"]]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"up"},"values":[[1,"1"],[2,"2"]]}]}}`,
},
{
name: "multiple matrix responses without duplicated series",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"bar"},"values":[[1,"1"],[2,"2"]]}]}}`,
`{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"foo"},"values":[[3,"3"],[4,"4"]]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"bar"},"values":[[1,"1"],[2,"2"]]},{"metric":{"__name__":"foo"},"values":[[3,"3"],[4,"4"]]}]}}`,
},
{
name: "multiple matrix responses with duplicated series, but not same samples",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"bar"},"values":[[1,"1"],[2,"2"]]}]}}`,
`{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"bar"},"values":[[3,"3"]]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"bar"},"values":[[1,"1"],[2,"2"],[3,"3"]]}]}}`,
},
{
name: "multiple matrix responses with duplicated series and same samples",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"bar"},"values":[[1,"1"],[2,"2"]]}]}}`,
`{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"bar"},"values":[[1,"1"],[2,"2"],[3,"3"]]}]}}`,
},
expectedResp: `{"status":"success","data":{"resultType":"matrix","result":[{"metric":{"__name__":"bar"},"values":[[1,"1"],[2,"2"],[3,"3"]]}]}}`,
},
{
name: "context cancelled before decoding response",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}]}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[2,"2"]}]}}`,
},
expectedDecodeErr: context.Canceled,
cancelBeforeDecode: true,
},
{
name: "context cancelled before merging response",
req: defaultReq,
resps: []string{
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"foo"},"value":[1,"1"]}]}}`,
`{"status":"success","data":{"resultType":"vector","result":[{"metric":{"__name__":"up","job":"bar"},"value":[2,"2"]}]}}`,
},
expectedErr: context.Canceled,
cancelBeforeMerge: true,
},
} {
tc := tc
t.Run(tc.name, func(t *testing.T) {
t.Parallel()
ctx, cancelCtx := context.WithCancel(context.Background())
var resps []tripperware.Response
for _, r := range tc.resps {
hr := &http.Response{
StatusCode: 200,
Header: http.Header{"Content-Type": []string{"application/json"}},
Body: io.NopCloser(bytes.NewBuffer([]byte(r))),
}
if tc.cancelBeforeDecode {
cancelCtx()
}
dr, err := InstantQueryCodec.DecodeResponse(ctx, hr, nil)
assert.Equal(t, tc.expectedDecodeErr, err)
if err != nil {
cancelCtx()
return
}
resps = append(resps, dr)
}
if tc.cancelBeforeMerge {
cancelCtx()
}
resp, err := InstantQueryCodec.MergeResponse(ctx, tc.req, resps...)
assert.Equal(t, tc.expectedErr, err)
if err != nil {
cancelCtx()
return
}
dr, err := InstantQueryCodec.EncodeResponse(ctx, resp)
assert.Equal(t, tc.expectedErr, err)
contents, err := io.ReadAll(dr.Body)
assert.Equal(t, tc.expectedErr, err)
assert.Equal(t, tc.expectedResp, string(contents))
cancelCtx()
})
}
}
func Benchmark_Decode(b *testing.B) {
maxSamplesCount := 1000000
samples := make([]tripperware.SampleStream, maxSamplesCount)
for i := 0; i < maxSamplesCount; i++ {
samples[i].Labels = append(samples[i].Labels, cortexpb.LabelAdapter{Name: fmt.Sprintf("Sample%v", i), Value: fmt.Sprintf("Value%v", i)})
samples[i].Labels = append(samples[i].Labels, cortexpb.LabelAdapter{Name: fmt.Sprintf("Sample2%v", i), Value: fmt.Sprintf("Value2%v", i)})
samples[i].Labels = append(samples[i].Labels, cortexpb.LabelAdapter{Name: fmt.Sprintf("Sample3%v", i), Value: fmt.Sprintf("Value3%v", i)})
samples[i].Samples = append(samples[i].Samples, cortexpb.Sample{TimestampMs: int64(i), Value: float64(i)})
}
for name, tc := range map[string]struct {
sampleStream []tripperware.SampleStream
}{
"100 samples": {
sampleStream: samples[:100],
},
"1000 samples": {
sampleStream: samples[:1000],
},
"10000 samples": {
sampleStream: samples[:10000],
},
"100000 samples": {
sampleStream: samples[:100000],
},
"1000000 samples": {
sampleStream: samples[:1000000],
},
} {
b.Run(name, func(b *testing.B) {
r := tripperware.PrometheusResponse{
Data: tripperware.PrometheusData{
ResultType: model.ValMatrix.String(),
Result: tripperware.PrometheusQueryResult{
Result: &tripperware.PrometheusQueryResult_Matrix{
Matrix: &tripperware.Matrix{
SampleStreams: tc.sampleStream,
},
},
},
},
}
body, err := json.Marshal(r)
require.NoError(b, err)
b.ResetTimer()
b.ReportAllocs()
for i := 0; i < b.N; i++ {
response := &http.Response{
StatusCode: 200,
Body: io.NopCloser(bytes.NewBuffer(body)),
}
_, err := InstantQueryCodec.DecodeResponse(context.Background(), response, nil)
require.NoError(b, err)
}
})
}
}