/usr/share/gocode/src/github.com/influxdata/influxdb/tsdb/shard.go is in golang-github-influxdb-influxdb-dev 1.0.2+dfsg1-1.
This file is owned by root:root, with mode 0o644.
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import (
"errors"
"fmt"
"io"
"log"
"os"
"path/filepath"
"sort"
"sync"
"sync/atomic"
"time"
"github.com/gogo/protobuf/proto"
"github.com/influxdata/influxdb/influxql"
"github.com/influxdata/influxdb/models"
internal "github.com/influxdata/influxdb/tsdb/internal"
)
// monitorStatInterval is the interval at which the shard is inspected
// for the purpose of determining certain monitoring statistics.
const monitorStatInterval = 30 * time.Second
const (
statWriteReq = "writeReq"
statWriteReqOK = "writeReqOk"
statWriteReqErr = "writeReqErr"
statSeriesCreate = "seriesCreate"
statFieldsCreate = "fieldsCreate"
statWritePointsErr = "writePointsErr"
statWritePointsOK = "writePointsOk"
statWriteBytes = "writeBytes"
statDiskBytes = "diskBytes"
)
var (
// ErrFieldOverflow is returned when too many fields are created on a measurement.
ErrFieldOverflow = errors.New("field overflow")
// ErrFieldTypeConflict is returned when a new field already exists with a different type.
ErrFieldTypeConflict = errors.New("field type conflict")
// ErrFieldNotFound is returned when a field cannot be found.
ErrFieldNotFound = errors.New("field not found")
// ErrFieldUnmappedID is returned when the system is presented, during decode, with a field ID
// there is no mapping for.
ErrFieldUnmappedID = errors.New("field ID not mapped")
// ErrEngineClosed is returned when a caller attempts indirectly to
// access the shard's underlying engine.
ErrEngineClosed = errors.New("engine is closed")
// ErrShardDisabled is returned when a the shard is not available for
// queries or writes.
ErrShardDisabled = errors.New("shard is disabled")
)
// A ShardError implements the error interface, and contains extra
// context about the shard that generated the error.
type ShardError struct {
id uint64
Err error
}
// NewShardError returns a new ShardError.
func NewShardError(id uint64, err error) error {
if err == nil {
return nil
}
return ShardError{id: id, Err: err}
}
func (e ShardError) Error() string {
return fmt.Sprintf("[shard %d] %s", e.id, e.Err)
}
// Shard represents a self-contained time series database. An inverted index of
// the measurement and tag data is kept along with the raw time series data.
// Data can be split across many shards. The query engine in TSDB is responsible
// for combining the output of many shards into a single query result.
type Shard struct {
index *DatabaseIndex
path string
walPath string
id uint64
database string
retentionPolicy string
options EngineOptions
mu sync.RWMutex
engine Engine
closing chan struct{}
enabled bool
// expvar-based stats.
stats *ShardStatistics
statTags models.Tags
logger *log.Logger
// used by logger. Referenced so it can be passed down to new caches.
logOutput io.Writer
EnableOnOpen bool
}
// NewShard returns a new initialized Shard. walPath doesn't apply to the b1 type index
func NewShard(id uint64, index *DatabaseIndex, path string, walPath string, options EngineOptions) *Shard {
db, rp := DecodeStorePath(path)
s := &Shard{
index: index,
id: id,
path: path,
walPath: walPath,
options: options,
closing: make(chan struct{}),
stats: &ShardStatistics{},
statTags: map[string]string{
"path": path,
"id": fmt.Sprintf("%d", id),
"database": db,
"retentionPolicy": rp,
},
database: db,
retentionPolicy: rp,
logger: log.New(os.Stderr, "[shard] ", log.LstdFlags),
logOutput: os.Stderr,
EnableOnOpen: true,
}
return s
}
// SetLogOutput sets the writer to which log output will be written. It is safe
// for concurrent use.
func (s *Shard) SetLogOutput(w io.Writer) {
s.logger.SetOutput(w)
if err := s.ready(); err == nil {
s.engine.SetLogOutput(w)
}
s.mu.Lock()
s.logOutput = w
s.mu.Unlock()
}
// SetEnabled enables the shard for queries and write. When disabled, all
// writes and queries return an error and compactions are stopped for the shard.
func (s *Shard) SetEnabled(enabled bool) {
s.mu.Lock()
// Prevent writes and queries
s.enabled = enabled
if s.engine != nil {
// Disable background compactions and snapshotting
s.engine.SetEnabled(enabled)
}
s.mu.Unlock()
}
// ShardStatistics maintains statistics for a shard.
type ShardStatistics struct {
WriteReq int64
WriteReqOK int64
WriteReqErr int64
SeriesCreated int64
FieldsCreated int64
WritePointsErr int64
WritePointsOK int64
BytesWritten int64
DiskBytes int64
}
// Statistics returns statistics for periodic monitoring.
func (s *Shard) Statistics(tags map[string]string) []models.Statistic {
if err := s.ready(); err != nil {
return nil
}
tags = s.statTags.Merge(tags)
seriesN, _ := s.engine.SeriesCount()
statistics := []models.Statistic{{
Name: "shard",
Tags: models.Tags(tags).Merge(map[string]string{"engine": s.options.EngineVersion}),
Values: map[string]interface{}{
statWriteReq: atomic.LoadInt64(&s.stats.WriteReq),
statWriteReqOK: atomic.LoadInt64(&s.stats.WriteReqOK),
statWriteReqErr: atomic.LoadInt64(&s.stats.WriteReqErr),
statSeriesCreate: seriesN,
statFieldsCreate: atomic.LoadInt64(&s.stats.FieldsCreated),
statWritePointsErr: atomic.LoadInt64(&s.stats.WritePointsErr),
statWritePointsOK: atomic.LoadInt64(&s.stats.WritePointsOK),
statWriteBytes: atomic.LoadInt64(&s.stats.BytesWritten),
statDiskBytes: atomic.LoadInt64(&s.stats.DiskBytes),
},
}}
statistics = append(statistics, s.engine.Statistics(tags)...)
return statistics
}
// Path returns the path set on the shard when it was created.
func (s *Shard) Path() string { return s.path }
// Open initializes and opens the shard's store.
func (s *Shard) Open() error {
if err := func() error {
s.mu.Lock()
defer s.mu.Unlock()
// Return if the shard is already open
if s.engine != nil {
return nil
}
// Initialize underlying engine.
e, err := NewEngine(s.path, s.walPath, s.options)
if err != nil {
return err
}
// Set log output on the engine.
e.SetLogOutput(s.logOutput)
// Disable compactions while loading the index
e.SetEnabled(false)
// Open engine.
if err := e.Open(); err != nil {
return err
}
// Load metadata index.
start := time.Now()
if err := e.LoadMetadataIndex(s.id, s.index); err != nil {
return err
}
count := s.index.SeriesShardN(s.id)
atomic.AddInt64(&s.stats.SeriesCreated, int64(count))
s.engine = e
s.logger.Printf("%s database index loaded in %s", s.path, time.Now().Sub(start))
go s.monitorSize()
return nil
}(); err != nil {
s.close()
return NewShardError(s.id, err)
}
if s.EnableOnOpen {
// enable writes, queries and compactions
s.SetEnabled(true)
}
return nil
}
// UnloadIndex removes all references to this shard from the DatabaseIndex
func (s *Shard) UnloadIndex() {
// Don't leak our shard ID and series keys in the index
s.index.RemoveShard(s.id)
}
// Close shuts down the shard's store.
func (s *Shard) Close() error {
s.mu.Lock()
defer s.mu.Unlock()
return s.close()
}
func (s *Shard) close() error {
if s.engine == nil {
return nil
}
// Close the closing channel at most once.
select {
case <-s.closing:
default:
close(s.closing)
}
// Don't leak our shard ID and series keys in the index
s.UnloadIndex()
err := s.engine.Close()
if err == nil {
s.engine = nil
}
return err
}
// ready determines if the Shard is ready for queries or writes.
// It returns nil if ready, otherwise ErrShardClosed or ErrShardDiabled
func (s *Shard) ready() error {
var err error
s.mu.RLock()
if s.engine == nil {
err = ErrEngineClosed
} else if !s.enabled {
err = ErrShardDisabled
}
s.mu.RUnlock()
return err
}
// DiskSize returns the size on disk of this shard
func (s *Shard) DiskSize() (int64, error) {
var size int64
err := filepath.Walk(s.path, func(_ string, fi os.FileInfo, err error) error {
if err != nil {
return err
}
if !fi.IsDir() {
size += fi.Size()
}
return err
})
if err != nil {
return 0, err
}
err = filepath.Walk(s.walPath, func(_ string, fi os.FileInfo, err error) error {
if err != nil {
return err
}
if !fi.IsDir() {
size += fi.Size()
}
return err
})
return size, err
}
// FieldCreate holds information for a field to create on a measurement
type FieldCreate struct {
Measurement string
Field *Field
}
// SeriesCreate holds information for a series to create
type SeriesCreate struct {
Measurement string
Series *Series
}
// WritePoints will write the raw data points and any new metadata to the index in the shard
func (s *Shard) WritePoints(points []models.Point) error {
if err := s.ready(); err != nil {
return err
}
s.mu.RLock()
defer s.mu.RUnlock()
atomic.AddInt64(&s.stats.WriteReq, 1)
fieldsToCreate, err := s.validateSeriesAndFields(points)
if err != nil {
return err
}
atomic.AddInt64(&s.stats.FieldsCreated, int64(len(fieldsToCreate)))
// add any new fields and keep track of what needs to be saved
if err := s.createFieldsAndMeasurements(fieldsToCreate); err != nil {
return err
}
// Write to the engine.
if err := s.engine.WritePoints(points); err != nil {
atomic.AddInt64(&s.stats.WritePointsErr, int64(len(points)))
atomic.AddInt64(&s.stats.WriteReqErr, 1)
return fmt.Errorf("engine: %s", err)
}
atomic.AddInt64(&s.stats.WritePointsOK, int64(len(points)))
atomic.AddInt64(&s.stats.WriteReqOK, 1)
return nil
}
func (s *Shard) ContainsSeries(seriesKeys []string) (map[string]bool, error) {
if err := s.ready(); err != nil {
return nil, err
}
return s.engine.ContainsSeries(seriesKeys)
}
// DeleteSeries deletes a list of series.
func (s *Shard) DeleteSeries(seriesKeys []string) error {
if err := s.ready(); err != nil {
return err
}
if err := s.engine.DeleteSeries(seriesKeys); err != nil {
return err
}
return nil
}
// DeleteSeriesRange deletes all values from for seriesKeys between min and max (inclusive)
func (s *Shard) DeleteSeriesRange(seriesKeys []string, min, max int64) error {
if err := s.ready(); err != nil {
return err
}
if err := s.engine.DeleteSeriesRange(seriesKeys, min, max); err != nil {
return err
}
return nil
}
// DeleteMeasurement deletes a measurement and all underlying series.
func (s *Shard) DeleteMeasurement(name string, seriesKeys []string) error {
if err := s.ready(); err != nil {
return err
}
if err := s.engine.DeleteMeasurement(name, seriesKeys); err != nil {
return err
}
return nil
}
func (s *Shard) createFieldsAndMeasurements(fieldsToCreate []*FieldCreate) error {
if len(fieldsToCreate) == 0 {
return nil
}
// add fields
for _, f := range fieldsToCreate {
m := s.engine.MeasurementFields(f.Measurement)
// Add the field to the in memory index
if err := m.CreateFieldIfNotExists(f.Field.Name, f.Field.Type, false); err != nil {
return err
}
// ensure the measurement is in the index and the field is there
measurement := s.index.CreateMeasurementIndexIfNotExists(f.Measurement)
measurement.SetFieldName(f.Field.Name)
}
return nil
}
// validateSeriesAndFields checks which series and fields are new and whose metadata should be saved and indexed
func (s *Shard) validateSeriesAndFields(points []models.Point) ([]*FieldCreate, error) {
var fieldsToCreate []*FieldCreate
// get the shard mutex for locally defined fields
for _, p := range points {
// see if the series should be added to the index
key := string(p.Key())
ss := s.index.Series(key)
if ss == nil {
if s.options.Config.MaxSeriesPerDatabase > 0 && len(s.index.series)+1 > s.options.Config.MaxSeriesPerDatabase {
return nil, fmt.Errorf("max series per database exceeded: %s", key)
}
ss = NewSeries(key, p.Tags())
atomic.AddInt64(&s.stats.SeriesCreated, 1)
}
ss = s.index.CreateSeriesIndexIfNotExists(p.Name(), ss)
s.index.AssignShard(ss.Key, s.id)
// see if the field definitions need to be saved to the shard
mf := s.engine.MeasurementFields(p.Name())
if mf == nil {
for name, value := range p.Fields() {
fieldsToCreate = append(fieldsToCreate, &FieldCreate{p.Name(), &Field{Name: name, Type: influxql.InspectDataType(value)}})
}
continue // skip validation since all fields are new
}
// validate field types and encode data
for name, value := range p.Fields() {
if f := mf.Field(name); f != nil {
// Field present in shard metadata, make sure there is no type conflict.
if f.Type != influxql.InspectDataType(value) {
return nil, fmt.Errorf("field type conflict: input field \"%s\" on measurement \"%s\" is type %T, already exists as type %s", name, p.Name(), value, f.Type)
}
continue // Field is present, and it's of the same type. Nothing more to do.
}
fieldsToCreate = append(fieldsToCreate, &FieldCreate{p.Name(), &Field{Name: name, Type: influxql.InspectDataType(value)}})
}
}
return fieldsToCreate, nil
}
// SeriesCount returns the number of series buckets on the shard.
func (s *Shard) SeriesCount() (int, error) {
if err := s.ready(); err != nil {
return 0, err
}
return s.engine.SeriesCount()
}
// WriteTo writes the shard's data to w.
func (s *Shard) WriteTo(w io.Writer) (int64, error) {
if err := s.ready(); err != nil {
return 0, err
}
n, err := s.engine.WriteTo(w)
atomic.AddInt64(&s.stats.BytesWritten, int64(n))
return n, err
}
// CreateIterator returns an iterator for the data in the shard.
func (s *Shard) CreateIterator(opt influxql.IteratorOptions) (influxql.Iterator, error) {
if err := s.ready(); err != nil {
return nil, err
}
if influxql.Sources(opt.Sources).HasSystemSource() {
return s.createSystemIterator(opt)
}
opt.Sources = influxql.Sources(opt.Sources).Filter(s.database, s.retentionPolicy)
return s.engine.CreateIterator(opt)
}
// createSystemIterator returns an iterator for a system source.
func (s *Shard) createSystemIterator(opt influxql.IteratorOptions) (influxql.Iterator, error) {
// Only support a single system source.
if len(opt.Sources) > 1 {
return nil, errors.New("cannot select from multiple system sources")
}
m := opt.Sources[0].(*influxql.Measurement)
switch m.Name {
case "_fieldKeys":
return NewFieldKeysIterator(s, opt)
case "_series":
return NewSeriesIterator(s, opt)
case "_tagKeys":
return NewTagKeysIterator(s, opt)
default:
return nil, fmt.Errorf("unknown system source: %s", m.Name)
}
}
// FieldDimensions returns unique sets of fields and dimensions across a list of sources.
func (s *Shard) FieldDimensions(sources influxql.Sources) (fields map[string]influxql.DataType, dimensions map[string]struct{}, err error) {
if err := s.ready(); err != nil {
return nil, nil, err
}
if sources.HasSystemSource() {
// Only support a single system source.
if len(sources) > 1 {
return nil, nil, errors.New("cannot select from multiple system sources")
}
switch m := sources[0].(type) {
case *influxql.Measurement:
switch m.Name {
case "_fieldKeys":
return map[string]influxql.DataType{
"fieldKey": influxql.String,
"fieldType": influxql.String,
}, nil, nil
case "_series":
return map[string]influxql.DataType{
"key": influxql.String,
}, nil, nil
case "_tagKeys":
return map[string]influxql.DataType{
"tagKey": influxql.String,
}, nil, nil
}
}
return nil, nil, nil
}
fields = make(map[string]influxql.DataType)
dimensions = make(map[string]struct{})
for _, src := range sources {
switch m := src.(type) {
case *influxql.Measurement:
// Retrieve measurement.
mm := s.index.Measurement(m.Name)
if mm == nil {
continue
}
// Append fields and dimensions.
mf := s.engine.MeasurementFields(m.Name)
if mf != nil {
for name, typ := range mf.FieldSet() {
fields[name] = typ
}
}
for _, key := range mm.TagKeys() {
dimensions[key] = struct{}{}
}
}
}
return
}
// ExpandSources expands regex sources and removes duplicates.
// NOTE: sources must be normalized (db and rp set) before calling this function.
func (s *Shard) ExpandSources(sources influxql.Sources) (influxql.Sources, error) {
// Use a map as a set to prevent duplicates.
set := map[string]influxql.Source{}
// Iterate all sources, expanding regexes when they're found.
for _, source := range sources {
switch src := source.(type) {
case *influxql.Measurement:
// Add non-regex measurements directly to the set.
if src.Regex == nil {
set[src.String()] = src
continue
}
// Loop over matching measurements.
for _, m := range s.index.MeasurementsByRegex(src.Regex.Val) {
other := &influxql.Measurement{
Database: src.Database,
RetentionPolicy: src.RetentionPolicy,
Name: m.Name,
}
set[other.String()] = other
}
default:
return nil, fmt.Errorf("expandSources: unsupported source type: %T", source)
}
}
// Convert set to sorted slice.
names := make([]string, 0, len(set))
for name := range set {
names = append(names, name)
}
sort.Strings(names)
// Convert set to a list of Sources.
expanded := make(influxql.Sources, 0, len(set))
for _, name := range names {
expanded = append(expanded, set[name])
}
return expanded, nil
}
// Restore restores data to the underlying engine for the shard.
// The shard is reopened after restore.
func (s *Shard) Restore(r io.Reader, basePath string) error {
s.mu.Lock()
// Restore to engine.
if err := s.engine.Restore(r, basePath); err != nil {
s.mu.Unlock()
return err
}
s.mu.Unlock()
// Close shard.
if err := s.Close(); err != nil {
return err
}
// Reopen engine.
return s.Open()
}
// CreateSnapshot will return a path to a temp directory
// containing hard links to the underlying shard files
func (s *Shard) CreateSnapshot() (string, error) {
s.mu.RLock()
defer s.mu.RUnlock()
return s.engine.CreateSnapshot()
}
func (s *Shard) monitorSize() {
t := time.NewTicker(monitorStatInterval)
defer t.Stop()
for {
select {
case <-s.closing:
return
case <-t.C:
size, err := s.DiskSize()
if err != nil {
s.logger.Printf("Error collecting shard size: %v", err)
continue
}
atomic.StoreInt64(&s.stats.DiskBytes, size)
}
}
}
// Shards represents a sortable list of shards.
type Shards []*Shard
func (a Shards) Len() int { return len(a) }
func (a Shards) Less(i, j int) bool { return a[i].id < a[j].id }
func (a Shards) Swap(i, j int) { a[i], a[j] = a[j], a[i] }
// MeasurementFields holds the fields of a measurement and their codec.
type MeasurementFields struct {
mu sync.RWMutex
fields map[string]*Field
}
func NewMeasurementFields() *MeasurementFields {
return &MeasurementFields{fields: make(map[string]*Field)}
}
// MarshalBinary encodes the object to a binary format.
func (m *MeasurementFields) MarshalBinary() ([]byte, error) {
m.mu.RLock()
defer m.mu.RUnlock()
var pb internal.MeasurementFields
for _, f := range m.fields {
id := int32(f.ID)
name := f.Name
t := int32(f.Type)
pb.Fields = append(pb.Fields, &internal.Field{ID: &id, Name: &name, Type: &t})
}
return proto.Marshal(&pb)
}
// UnmarshalBinary decodes the object from a binary format.
func (m *MeasurementFields) UnmarshalBinary(buf []byte) error {
m.mu.Lock()
defer m.mu.Unlock()
var pb internal.MeasurementFields
if err := proto.Unmarshal(buf, &pb); err != nil {
return err
}
m.fields = make(map[string]*Field, len(pb.Fields))
for _, f := range pb.Fields {
m.fields[f.GetName()] = &Field{ID: uint8(f.GetID()), Name: f.GetName(), Type: influxql.DataType(f.GetType())}
}
return nil
}
// CreateFieldIfNotExists creates a new field with an autoincrementing ID.
// Returns an error if 255 fields have already been created on the measurement or
// the fields already exists with a different type.
func (m *MeasurementFields) CreateFieldIfNotExists(name string, typ influxql.DataType, limitCount bool) error {
m.mu.RLock()
// Ignore if the field already exists.
if f := m.fields[name]; f != nil {
if f.Type != typ {
m.mu.RUnlock()
return ErrFieldTypeConflict
}
m.mu.RUnlock()
return nil
}
m.mu.RUnlock()
m.mu.Lock()
defer m.mu.Unlock()
if f := m.fields[name]; f != nil {
return nil
}
// Create and append a new field.
f := &Field{
ID: uint8(len(m.fields) + 1),
Name: name,
Type: typ,
}
m.fields[name] = f
return nil
}
func (m *MeasurementFields) Field(name string) *Field {
m.mu.RLock()
f := m.fields[name]
m.mu.RUnlock()
return f
}
func (m *MeasurementFields) FieldSet() map[string]influxql.DataType {
m.mu.RLock()
defer m.mu.RUnlock()
fields := make(map[string]influxql.DataType)
for name, f := range m.fields {
fields[name] = f.Type
}
return fields
}
// Field represents a series field.
type Field struct {
ID uint8 `json:"id,omitempty"`
Name string `json:"name,omitempty"`
Type influxql.DataType `json:"type,omitempty"`
}
// shardIteratorCreator creates iterators for a local shard.
// This simply wraps the shard so that Close() does not close the underlying shard.
type shardIteratorCreator struct {
sh *Shard
maxSeriesN int
}
func (ic *shardIteratorCreator) Close() error { return nil }
func (ic *shardIteratorCreator) CreateIterator(opt influxql.IteratorOptions) (influxql.Iterator, error) {
itr, err := ic.sh.CreateIterator(opt)
if err != nil {
return nil, err
} else if itr == nil {
return nil, nil
}
// Enforce series limit at creation time.
if ic.maxSeriesN > 0 {
stats := itr.Stats()
if stats.SeriesN > ic.maxSeriesN {
itr.Close()
return nil, fmt.Errorf("max select series count exceeded: %d series", stats.SeriesN)
}
}
return itr, nil
}
func (ic *shardIteratorCreator) FieldDimensions(sources influxql.Sources) (fields map[string]influxql.DataType, dimensions map[string]struct{}, err error) {
return ic.sh.FieldDimensions(sources)
}
func (ic *shardIteratorCreator) ExpandSources(sources influxql.Sources) (influxql.Sources, error) {
return ic.sh.ExpandSources(sources)
}
func NewFieldKeysIterator(sh *Shard, opt influxql.IteratorOptions) (influxql.Iterator, error) {
itr := &fieldKeysIterator{sh: sh}
// Retrieve measurements from shard. Filter if condition specified.
if opt.Condition == nil {
itr.mms = sh.index.Measurements()
} else {
mms, _, err := sh.index.measurementsByExpr(opt.Condition)
if err != nil {
return nil, err
}
itr.mms = mms
}
// Sort measurements by name.
sort.Sort(itr.mms)
return itr, nil
}
// fieldKeysIterator iterates over measurements and gets field keys from each measurement.
type fieldKeysIterator struct {
sh *Shard
mms Measurements // remaining measurements
buf struct {
mm *Measurement // current measurement
fields []Field // current measurement's fields
}
}
// Stats returns stats about the points processed.
func (itr *fieldKeysIterator) Stats() influxql.IteratorStats { return influxql.IteratorStats{} }
// Close closes the iterator.
func (itr *fieldKeysIterator) Close() error { return nil }
// Next emits the next tag key name.
func (itr *fieldKeysIterator) Next() (*influxql.FloatPoint, error) {
for {
// If there are no more keys then move to the next measurements.
if len(itr.buf.fields) == 0 {
if len(itr.mms) == 0 {
return nil, nil
}
itr.buf.mm = itr.mms[0]
mf := itr.sh.engine.MeasurementFields(itr.buf.mm.Name)
if mf != nil {
fset := mf.FieldSet()
if len(fset) == 0 {
itr.mms = itr.mms[1:]
continue
}
keys := make([]string, 0, len(fset))
for k := range fset {
keys = append(keys, k)
}
sort.Strings(keys)
itr.buf.fields = make([]Field, len(keys))
for i, name := range keys {
itr.buf.fields[i] = Field{Name: name, Type: fset[name]}
}
}
itr.mms = itr.mms[1:]
continue
}
// Return next key.
field := itr.buf.fields[0]
p := &influxql.FloatPoint{
Name: itr.buf.mm.Name,
Aux: []interface{}{field.Name, field.Type.String()},
}
itr.buf.fields = itr.buf.fields[1:]
return p, nil
}
}
// seriesIterator emits series ids.
type seriesIterator struct {
mms Measurements
keys struct {
buf []string
i int
}
point influxql.FloatPoint // reusable point
opt influxql.IteratorOptions
}
// NewSeriesIterator returns a new instance of SeriesIterator.
func NewSeriesIterator(sh *Shard, opt influxql.IteratorOptions) (influxql.Iterator, error) {
// Only equality operators are allowed.
var err error
influxql.WalkFunc(opt.Condition, func(n influxql.Node) {
switch n := n.(type) {
case *influxql.BinaryExpr:
switch n.Op {
case influxql.EQ, influxql.NEQ, influxql.EQREGEX, influxql.NEQREGEX,
influxql.OR, influxql.AND:
default:
err = errors.New("invalid tag comparison operator")
}
}
})
if err != nil {
return nil, err
}
// Read and sort all measurements.
mms := sh.index.Measurements()
sort.Sort(mms)
return &seriesIterator{
mms: mms,
point: influxql.FloatPoint{
Aux: make([]interface{}, len(opt.Aux)),
},
opt: opt,
}, nil
}
// Stats returns stats about the points processed.
func (itr *seriesIterator) Stats() influxql.IteratorStats { return influxql.IteratorStats{} }
// Close closes the iterator.
func (itr *seriesIterator) Close() error { return nil }
// Next emits the next point in the iterator.
func (itr *seriesIterator) Next() (*influxql.FloatPoint, error) {
for {
// Load next measurement's keys if there are no more remaining.
if itr.keys.i >= len(itr.keys.buf) {
if err := itr.nextKeys(); err != nil {
return nil, err
}
if len(itr.keys.buf) == 0 {
return nil, nil
}
}
// Read the next key.
key := itr.keys.buf[itr.keys.i]
itr.keys.i++
// Write auxiliary fields.
for i, f := range itr.opt.Aux {
switch f.Val {
case "key":
itr.point.Aux[i] = key
}
}
return &itr.point, nil
}
}
// nextKeys reads all keys for the next measurement.
func (itr *seriesIterator) nextKeys() error {
for {
// Ensure previous keys are cleared out.
itr.keys.i, itr.keys.buf = 0, itr.keys.buf[:0]
// Read next measurement.
if len(itr.mms) == 0 {
return nil
}
mm := itr.mms[0]
itr.mms = itr.mms[1:]
// Read all series keys.
ids, err := mm.seriesIDsAllOrByExpr(itr.opt.Condition)
if err != nil {
return err
} else if len(ids) == 0 {
continue
}
itr.keys.buf = mm.AppendSeriesKeysByID(itr.keys.buf, ids)
sort.Strings(itr.keys.buf)
return nil
}
}
// NewTagKeysIterator returns a new instance of TagKeysIterator.
func NewTagKeysIterator(sh *Shard, opt influxql.IteratorOptions) (influxql.Iterator, error) {
fn := func(m *Measurement) []string {
return m.TagKeys()
}
return newMeasurementKeysIterator(sh, fn, opt)
}
// measurementKeyFunc is the function called by measurementKeysIterator.
type measurementKeyFunc func(m *Measurement) []string
func newMeasurementKeysIterator(sh *Shard, fn measurementKeyFunc, opt influxql.IteratorOptions) (*measurementKeysIterator, error) {
itr := &measurementKeysIterator{fn: fn}
// Retrieve measurements from shard. Filter if condition specified.
if opt.Condition == nil {
itr.mms = sh.index.Measurements()
} else {
mms, _, err := sh.index.measurementsByExpr(opt.Condition)
if err != nil {
return nil, err
}
itr.mms = mms
}
// Sort measurements by name.
sort.Sort(itr.mms)
return itr, nil
}
// measurementKeysIterator iterates over measurements and gets keys from each measurement.
type measurementKeysIterator struct {
mms Measurements // remaining measurements
buf struct {
mm *Measurement // current measurement
keys []string // current measurement's keys
}
fn measurementKeyFunc
}
// Stats returns stats about the points processed.
func (itr *measurementKeysIterator) Stats() influxql.IteratorStats { return influxql.IteratorStats{} }
// Close closes the iterator.
func (itr *measurementKeysIterator) Close() error { return nil }
// Next emits the next tag key name.
func (itr *measurementKeysIterator) Next() (*influxql.FloatPoint, error) {
for {
// If there are no more keys then move to the next measurements.
if len(itr.buf.keys) == 0 {
if len(itr.mms) == 0 {
return nil, nil
}
itr.buf.mm = itr.mms[0]
itr.buf.keys = itr.fn(itr.buf.mm)
itr.mms = itr.mms[1:]
continue
}
// Return next key.
p := &influxql.FloatPoint{
Name: itr.buf.mm.Name,
Aux: []interface{}{itr.buf.keys[0]},
}
itr.buf.keys = itr.buf.keys[1:]
return p, nil
}
}
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