mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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Properly parse json when export import metric (#3180)
* app/vmselect: properly work when export import json from `api/v1/{export, import}` API * app/vmselect: update convert function * app/vmselect: export null if `math.IsNaN(v)` * app/vmselect: get float from json * lib/protoparser: add test * docs: add change log * lib/protoparser: make export import api compatible
This commit is contained in:
parent
db791a254b
commit
4064db27a8
5 changed files with 173 additions and 17 deletions
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@ -99,10 +99,10 @@
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"values":[
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{% if len(xb.values) > 0 %}
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{% code values := xb.values %}
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{%f= values[0] %}
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{%= convertValueToSpecialJSON(values[0]) %}
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{% code values = values[1:] %}
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{% for _, v := range values %}
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,{% if math.IsNaN(v) %}null{% else %}{%f= v %}{% endif %}
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,{%= convertValueToSpecialJSON(v) %}
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{% endfor %}
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{% endif %}
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],
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@ -158,4 +158,17 @@
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}
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{% endif %}
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{% endfunc %}
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{% func convertValueToSpecialJSON(v float64) %}
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{% if math.IsNaN(v) %}
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null
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{% elseif math.IsInf(v, 1) %}
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"Infinity"
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{% elseif math.IsInf(v, -1) %}
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"-Infinity"
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{% else %}
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{%f= v %}
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{% endif %}
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{% endfunc %}
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{% endstripspace %}
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@ -295,7 +295,7 @@ func StreamExportJSONLine(qw422016 *qt422016.Writer, xb *exportBlock) {
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values := xb.values
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//line app/vmselect/prometheus/export.qtpl:102
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qw422016.N().F(values[0])
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streamconvertValueToSpecialJSON(qw422016, values[0])
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//line app/vmselect/prometheus/export.qtpl:103
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values = values[1:]
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@ -304,15 +304,7 @@ func StreamExportJSONLine(qw422016 *qt422016.Writer, xb *exportBlock) {
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//line app/vmselect/prometheus/export.qtpl:104
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qw422016.N().S(`,`)
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//line app/vmselect/prometheus/export.qtpl:105
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if math.IsNaN(v) {
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//line app/vmselect/prometheus/export.qtpl:105
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qw422016.N().S(`null`)
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//line app/vmselect/prometheus/export.qtpl:105
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} else {
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//line app/vmselect/prometheus/export.qtpl:105
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qw422016.N().F(v)
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//line app/vmselect/prometheus/export.qtpl:105
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}
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streamconvertValueToSpecialJSON(qw422016, v)
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//line app/vmselect/prometheus/export.qtpl:106
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}
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//line app/vmselect/prometheus/export.qtpl:107
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@ -554,3 +546,52 @@ func prometheusMetricName(mn *storage.MetricName) string {
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return qs422016
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//line app/vmselect/prometheus/export.qtpl:160
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}
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//line app/vmselect/prometheus/export.qtpl:187
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func streamconvertValueToSpecialJSON(qw422016 *qt422016.Writer, v float64) {
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//line app/vmselect/prometheus/export.qtpl:188
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if math.IsNaN(v) {
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//line app/vmselect/prometheus/export.qtpl:188
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qw422016.N().S(`"NaN"`)
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//line app/vmselect/prometheus/export.qtpl:190
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} else if math.IsInf(v, 1) {
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//line app/vmselect/prometheus/export.qtpl:190
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qw422016.N().S(`"Infinity"`)
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//line app/vmselect/prometheus/export.qtpl:192
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} else if math.IsInf(v, -1) {
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//line app/vmselect/prometheus/export.qtpl:192
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qw422016.N().S(`"-Infinity"`)
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//line app/vmselect/prometheus/export.qtpl:194
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} else {
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//line app/vmselect/prometheus/export.qtpl:195
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qw422016.N().F(v)
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//line app/vmselect/prometheus/export.qtpl:196
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}
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//line app/vmselect/prometheus/export.qtpl:197
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}
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//line app/vmselect/prometheus/export.qtpl:197
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func writeconvertValueToSpecialJSON(qq422016 qtio422016.Writer, v float64) {
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//line app/vmselect/prometheus/export.qtpl:197
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qw422016 := qt422016.AcquireWriter(qq422016)
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//line app/vmselect/prometheus/export.qtpl:197
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streamconvertValueToSpecialJSON(qw422016, v)
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//line app/vmselect/prometheus/export.qtpl:197
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qt422016.ReleaseWriter(qw422016)
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//line app/vmselect/prometheus/export.qtpl:197
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}
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//line app/vmselect/prometheus/export.qtpl:197
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func convertValueToSpecialJSON(v float64) string {
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//line app/vmselect/prometheus/export.qtpl:197
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qb422016 := qt422016.AcquireByteBuffer()
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//line app/vmselect/prometheus/export.qtpl:197
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writeconvertValueToSpecialJSON(qb422016, v)
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//line app/vmselect/prometheus/export.qtpl:197
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qs422016 := string(qb422016.B)
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//line app/vmselect/prometheus/export.qtpl:197
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qt422016.ReleaseByteBuffer(qb422016)
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//line app/vmselect/prometheus/export.qtpl:197
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return qs422016
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//line app/vmselect/prometheus/export.qtpl:197
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}
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@ -35,6 +35,7 @@ See [these docs](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#m
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* FEATURE: atomically delete directories with snapshots, parts and partitions at [storage level](https://docs.victoriametrics.com/#storage). Previously such directories can be left in partially deleted state when the deletion operation was interrupted by unclean shutdown. This may result in `cannot open file ...: no such file or directory` error on the next start. The probability of this error was quite high when NFS or EFS was used as persistent storage for VictoriaMetrics data. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3038).
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* FEATURE: set the `start` arg to `end - 5 minutes` if isn't passed explicitly to [/api/v1/labels](https://docs.victoriametrics.com/url-examples.html#apiv1labels) and [/api/v1/label/.../values](https://docs.victoriametrics.com/url-examples.html#apiv1labelvalues). See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/3052).
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* FEATURE: allow to define the minimum TLS version to use when accepting https requests to VictoriaMetrics components if `-tls` command-line flag is set. The minimum TLS version can be set via `-tlsMinVersion` command-line flag. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3090).
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* FEATURE: properly parse json when export import metrics via `api/v1/export` and `api/v1/import` API. Added support of the `["Infinity", "-Infinity", "NaN", null]` values. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3161).
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* FEATURE: [vmctl](https://docs.victoriametrics.com/vmctl.html): add `vm-native-step-interval` command line flag for `vm-native` mode. New option allows splitting the import process into chunks by time interval. This helps migrating data sets with high churn rate and provides better control over the process. See [feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2733).
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* FEATURE: [vmui](https://docs.victoriametrics.com/#vmui): add `top queries` tab, which shows various stats for recently executed queries. See [these docs](https://docs.victoriametrics.com/#top-queries) and [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2707).
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* FEATURE: [vmui](https://docs.victoriametrics.com/#vmui): move the "Execute Query" and "Add Query" buttons below the query fields, change icon for remove query. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3101).
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@ -2,6 +2,8 @@ package vmimport
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import (
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"fmt"
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"math"
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"strconv"
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"strings"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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@ -77,7 +79,7 @@ func (r *Row) unmarshal(s string, tu *tagsUnmarshaler) error {
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return fmt.Errorf("missing `values` array")
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}
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for i, v := range values {
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f, err := v.Float64()
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f, err := getFloat64(v)
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if err != nil {
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return fmt.Errorf("cannot unmarshal value at position %d: %w", i, err)
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}
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@ -103,6 +105,39 @@ func (r *Row) unmarshal(s string, tu *tagsUnmarshaler) error {
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return nil
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}
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func getFloat64(value *fastjson.Value) (float64, error) {
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if value == nil {
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return 0, fmt.Errorf("value is empty")
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}
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switch value.Type() {
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case fastjson.TypeNull:
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return math.NaN(), nil
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case fastjson.TypeString:
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return getSpecialFloat64ValueFromString(value.String())
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default:
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return value.Float64()
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}
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}
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func getSpecialFloat64ValueFromString(strVal string) (float64, error) {
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str, err := strconv.Unquote(strings.ToLower(strVal))
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if err != nil {
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return 0, err
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}
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switch str {
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case "infinity":
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return math.Inf(1), nil
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case "-infinity":
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return math.Inf(-1), nil
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case "null":
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return math.NaN(), nil
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default:
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return 0, fmt.Errorf("got unsupported string: %q", str)
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}
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}
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// Tag represents `/api/v1/import` tag.
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type Tag struct {
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Key []byte
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@ -47,6 +47,9 @@ func TestRowsUnmarshalFailure(t *testing.T) {
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f(`{"metric":{"foo":"bar"},"values":null,"timestamps":[3,4]}`)
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f(`{"metric":{"foo":"bar"},"timestamps":[3,4]}`)
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f(`{"metric":{"foo":"bar"},"values":["foo"],"timestamps":[3]}`)
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f(`{"metric":{"foo":"bar"},"values":null,"timestamps":[3,4]}`)
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f(`{"metric":{"foo":"bar"},"values":"null","timestamps":[3,4]}`)
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f(`{"metric":{"foo":"bar"},"values":["NaN"],"timestamps":[3,4]}`)
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// Invalid timestamps
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f(`{"metric":{"foo":"bar"},"values":[1,2],"timestamps":3}`)
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t.Helper()
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var rows Rows
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rows.Unmarshal(s)
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if containsNaN(rows) {
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if !checkNaN(rows, rowsExpected) {
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t.Fatalf("unexpected rows;\ngot\n%+v;\nwant\n%+v", rows.Rows, rowsExpected.Rows)
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return
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}
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return
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}
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if !reflect.DeepEqual(rows.Rows, rowsExpected.Rows) {
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t.Fatalf("unexpected rows;\ngot\n%+v;\nwant\n%+v", rows.Rows, rowsExpected.Rows)
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}
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}},
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})
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// Inf and nan values
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f(`{"metric":{"foo":"bar"},"values":[Inf, -Inf],"timestamps":[456, 789]}`, &Rows{
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// Inf and nan, null values
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f(`{"metric":{"foo":"bar"},"values":[Inf, -Inf, "Infinity", "-Infinity", NaN, null, "null"],"timestamps":[456, 789, 123, 0, 1, 2, 3]}`, &Rows{
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Rows: []Row{{
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Tags: []Tag{{
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Key: []byte("foo"),
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Value: []byte("bar"),
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}},
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Values: []float64{math.Inf(1), math.Inf(-1)},
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Timestamps: []int64{456, 789},
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Values: []float64{math.Inf(1), math.Inf(-1), math.Inf(1), math.Inf(-1), math.NaN(), math.NaN(), math.NaN()},
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Timestamps: []int64{456, 789, 123, 0, 1, 2, 3},
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}},
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})
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@ -229,3 +241,57 @@ garbage here
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},
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})
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}
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func Test_getFloat64FromStringValue(t *testing.T) {
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f := func(name, strVal string, want float64, wantErr bool) {
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t.Run(name, func(t *testing.T) {
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got, err := getSpecialFloat64ValueFromString(strVal)
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if (err != nil) != wantErr {
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t.Errorf("getSpecialFloat64ValueFromString() error = %v, wantErr %v", err, wantErr)
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return
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}
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if math.IsNaN(want) {
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if !math.IsNaN(got) {
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t.Fatalf("unexpected result; got %v; want %v", got, want)
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return
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}
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return
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}
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if got != want {
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t.Errorf("getSpecialFloat64ValueFromString() got = %v, want %v", got, want)
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}
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})
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}
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f("empty string", "", 0, true)
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f("unsupported string", "1", 0, true)
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f("null string", "null", 0, true)
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f("infinity string", "\"Infinity\"", math.Inf(1), false)
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f("-infinity string", "\"-Infinity\"", math.Inf(-1), false)
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f("null string", "\"null\"", math.NaN(), false)
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}
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func containsNaN(rows Rows) bool {
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for _, row := range rows.Rows {
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for _, f := range row.Values {
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if math.IsNaN(f) {
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return true
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}
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}
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}
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return false
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}
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func checkNaN(rows Rows, expectedRows *Rows) bool {
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for i, row := range rows.Rows {
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r := expectedRows.Rows[i]
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for j, f := range row.Values {
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if math.IsNaN(f) && math.IsNaN(r.Values[j]) {
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return true
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}
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}
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}
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return false
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}
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