2017-03-06 16:36:03 +00:00
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package tsdb
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import (
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"io/ioutil"
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"math/rand"
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"os"
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"sort"
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2017-03-07 10:29:20 +00:00
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"testing"
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2017-03-06 16:36:03 +00:00
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2017-03-07 10:29:20 +00:00
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"github.com/fabxc/tsdb/chunks"
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"github.com/fabxc/tsdb/labels"
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2017-03-06 16:36:03 +00:00
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"github.com/stretchr/testify/require"
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)
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2017-03-07 10:29:20 +00:00
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type mockIndexReader struct {
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labelValues func(...string) (StringTuples, error)
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postings func(string, string) (Postings, error)
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series func(uint32) (labels.Labels, []ChunkMeta, error)
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labelIndices func() ([][]string, error)
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close func() error
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}
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func (ir *mockIndexReader) LabelValues(names ...string) (StringTuples, error) {
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return ir.labelValues(names...)
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}
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func (ir *mockIndexReader) Postings(name, value string) (Postings, error) {
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return ir.postings(name, value)
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}
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func (ir *mockIndexReader) Series(ref uint32) (labels.Labels, []ChunkMeta, error) {
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return ir.series(ref)
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}
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func (ir *mockIndexReader) LabelIndices() ([][]string, error) {
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return ir.labelIndices()
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}
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func (ir *mockIndexReader) Close() error {
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return ir.close()
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}
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2017-03-06 16:36:03 +00:00
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func TestPersistence_index_e2e(t *testing.T) {
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dir, err := ioutil.TempDir("", "test_persistence_e2e")
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require.NoError(t, err)
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defer os.RemoveAll(dir)
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lbls, err := readPrometheusLabels("testdata/20k.series", 20000)
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require.NoError(t, err)
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var input indexWriterSeriesSlice
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// Generate ChunkMetas for every label set.
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for i, lset := range lbls {
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var metas []ChunkMeta
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for j := 0; j <= (i % 20); j++ {
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metas = append(metas, ChunkMeta{
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MinTime: int64(j * 10000),
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MaxTime: int64((j + 1) * 10000),
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Ref: rand.Uint64(),
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})
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}
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input = append(input, &indexWriterSeries{
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labels: lset,
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chunks: metas,
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})
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}
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iw, err := newIndexWriter(dir)
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require.NoError(t, err)
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// Population procedure as done by compaction.
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var (
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postings = &memPostings{m: make(map[term][]uint32, 512)}
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values = map[string]stringset{}
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)
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for i, s := range input {
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iw.AddSeries(uint32(i), s.labels, s.chunks...)
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for _, l := range s.labels {
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valset, ok := values[l.Name]
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if !ok {
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valset = stringset{}
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values[l.Name] = valset
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}
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valset.set(l.Value)
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postings.add(uint32(i), term{name: l.Name, value: l.Value})
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}
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i++
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}
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all := make([]uint32, len(lbls))
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for i := range all {
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all[i] = uint32(i)
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}
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err = iw.WritePostings("", "", newListPostings(all))
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require.NoError(t, err)
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err = iw.Close()
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require.NoError(t, err)
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ir, err := newIndexReader(dir)
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require.NoError(t, err)
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allp, err := ir.Postings("", "")
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require.NoError(t, err)
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var result indexWriterSeriesSlice
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for allp.Next() {
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ref := allp.At()
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lset, chks, err := ir.Series(ref)
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require.NoError(t, err)
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result = append(result, &indexWriterSeries{
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offset: ref,
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labels: lset,
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chunks: chks,
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})
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}
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require.NoError(t, allp.Err())
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// Persisted data must be sorted.
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sort.IsSorted(result)
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// Validate result contents.
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sort.Sort(input)
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require.Equal(t, len(input), len(result))
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for i, re := range result {
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exp := input[i]
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require.Equal(t, exp.labels, re.labels)
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require.Equal(t, exp.chunks, re.chunks)
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}
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require.NoError(t, ir.Close())
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2017-03-07 11:47:49 +00:00
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}
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