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meta.go
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meta.go
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package inmem
import (
"bytes"
"fmt"
"regexp"
"sort"
"sync"
"unsafe"
"github.com/influxdata/influxdb/models"
"github.com/influxdata/influxdb/pkg/bytesutil"
"github.com/influxdata/influxdb/pkg/radix"
"github.com/influxdata/influxdb/query"
"github.com/influxdata/influxdb/tsdb"
"github.com/influxdata/influxql"
)
// Measurement represents a collection of time series in a database. It also
// contains in memory structures for indexing tags. Exported functions are
// goroutine safe while un-exported functions assume the caller will use the
// appropriate locks.
type measurement struct {
Database string
Name string `json:"name,omitempty"`
NameBytes []byte // cached version as []byte
mu sync.RWMutex
fieldNames map[string]struct{}
// in-memory index fields
seriesByID map[uint64]*series // lookup table for series by their id
seriesByTagKeyValue map[string]*tagKeyValue // map from tag key to value to sorted set of series ids
// lazyily created sorted series IDs
sortedSeriesIDs seriesIDs // sorted list of series IDs in this measurement
// Indicates whether the seriesByTagKeyValueMap needs to be rebuilt as it contains deleted series
// that waste memory.
dirty bool
}
// newMeasurement allocates and initializes a new Measurement.
func newMeasurement(database, name string) *measurement {
return &measurement{
Database: database,
Name: name,
NameBytes: []byte(name),
fieldNames: make(map[string]struct{}),
seriesByID: make(map[uint64]*series),
seriesByTagKeyValue: make(map[string]*tagKeyValue),
}
}
// bytes estimates the memory footprint of this measurement, in bytes.
func (m *measurement) bytes() int {
var b int
m.mu.RLock()
b += int(unsafe.Sizeof(m.Database)) + len(m.Database)
b += int(unsafe.Sizeof(m.Name)) + len(m.Name)
if m.NameBytes != nil {
b += int(unsafe.Sizeof(m.NameBytes)) + len(m.NameBytes)
}
b += 24 // 24 bytes for m.mu RWMutex
b += int(unsafe.Sizeof(m.fieldNames))
for fieldName := range m.fieldNames {
b += int(unsafe.Sizeof(fieldName)) + len(fieldName)
}
b += int(unsafe.Sizeof(m.seriesByID))
for k, v := range m.seriesByID {
b += int(unsafe.Sizeof(k))
b += int(unsafe.Sizeof(v))
// Do not count footprint of each series, to avoid double-counting in Index.bytes().
}
b += int(unsafe.Sizeof(m.seriesByTagKeyValue))
for k, v := range m.seriesByTagKeyValue {
b += int(unsafe.Sizeof(k)) + len(k)
b += int(unsafe.Sizeof(v)) + v.bytes()
}
b += int(unsafe.Sizeof(m.sortedSeriesIDs))
for _, seriesID := range m.sortedSeriesIDs {
b += int(unsafe.Sizeof(seriesID))
}
b += int(unsafe.Sizeof(m.dirty))
m.mu.RUnlock()
return b
}
// Authorized determines if this Measurement is authorized to be read, according
// to the provided Authorizer. A measurement is authorized to be read if at
// least one undeleted series from the measurement is authorized to be read.
func (m *measurement) Authorized(auth query.Authorizer) bool {
// Note(edd): the cost of this check scales linearly with the number of series
// belonging to a measurement, which means it may become expensive when there
// are large numbers of series on a measurement.
//
// In the future we might want to push the set of series down into the
// authorizer, but that will require an API change.
for _, s := range m.SeriesByIDMap() {
if s != nil && s.Deleted() {
continue
}
if query.AuthorizerIsOpen(auth) || auth.AuthorizeSeriesRead(m.Database, m.NameBytes, s.Tags) {
return true
}
}
return false
}
func (m *measurement) HasField(name string) bool {
m.mu.RLock()
_, hasField := m.fieldNames[name]
m.mu.RUnlock()
return hasField
}
// SeriesByID returns a series by identifier.
func (m *measurement) SeriesByID(id uint64) *series {
m.mu.RLock()
defer m.mu.RUnlock()
return m.seriesByID[id]
}
// SeriesByIDMap returns the internal seriesByID map.
func (m *measurement) SeriesByIDMap() map[uint64]*series {
m.mu.RLock()
defer m.mu.RUnlock()
return m.seriesByID
}
// SeriesByIDSlice returns a list of series by identifiers.
func (m *measurement) SeriesByIDSlice(ids []uint64) []*series {
m.mu.RLock()
defer m.mu.RUnlock()
a := make([]*series, len(ids))
for i, id := range ids {
a[i] = m.seriesByID[id]
}
return a
}
// AppendSeriesKeysByID appends keys for a list of series ids to a buffer.
func (m *measurement) AppendSeriesKeysByID(dst []string, ids []uint64) []string {
m.mu.RLock()
defer m.mu.RUnlock()
for _, id := range ids {
if s := m.seriesByID[id]; s != nil && !s.Deleted() {
dst = append(dst, s.Key)
}
}
return dst
}
// SeriesKeysByID returns the a list of keys for a set of ids.
func (m *measurement) SeriesKeysByID(ids seriesIDs) [][]byte {
m.mu.RLock()
defer m.mu.RUnlock()
keys := make([][]byte, 0, len(ids))
for _, id := range ids {
s := m.seriesByID[id]
if s == nil || s.Deleted() {
continue
}
keys = append(keys, []byte(s.Key))
}
if !bytesutil.IsSorted(keys) {
bytesutil.Sort(keys)
}
return keys
}
// SeriesKeys returns the keys of every series in this measurement
func (m *measurement) SeriesKeys() [][]byte {
m.mu.RLock()
defer m.mu.RUnlock()
keys := make([][]byte, 0, len(m.seriesByID))
for _, s := range m.seriesByID {
if s.Deleted() {
continue
}
keys = append(keys, []byte(s.Key))
}
if !bytesutil.IsSorted(keys) {
bytesutil.Sort(keys)
}
return keys
}
func (m *measurement) SeriesIDs() seriesIDs {
m.mu.RLock()
if len(m.sortedSeriesIDs) == len(m.seriesByID) {
s := m.sortedSeriesIDs
m.mu.RUnlock()
return s
}
m.mu.RUnlock()
m.mu.Lock()
if len(m.sortedSeriesIDs) == len(m.seriesByID) {
s := m.sortedSeriesIDs
m.mu.Unlock()
return s
}
m.sortedSeriesIDs = m.sortedSeriesIDs[:0]
if cap(m.sortedSeriesIDs) < len(m.seriesByID) {
m.sortedSeriesIDs = make(seriesIDs, 0, len(m.seriesByID))
}
for k, v := range m.seriesByID {
if v.Deleted() {
continue
}
m.sortedSeriesIDs = append(m.sortedSeriesIDs, k)
}
sort.Sort(m.sortedSeriesIDs)
s := m.sortedSeriesIDs
m.mu.Unlock()
return s
}
// HasTagKey returns true if at least one series in this measurement has written a value for the passed in tag key
func (m *measurement) HasTagKey(k string) bool {
m.mu.RLock()
defer m.mu.RUnlock()
_, hasTag := m.seriesByTagKeyValue[k]
return hasTag
}
func (m *measurement) HasTagKeyValue(k, v []byte) bool {
m.mu.RLock()
defer m.mu.RUnlock()
return m.seriesByTagKeyValue[string(k)].Contains(string(v))
}
// HasSeries returns true if there is at least 1 series under this measurement.
func (m *measurement) HasSeries() bool {
m.mu.RLock()
defer m.mu.RUnlock()
return len(m.seriesByID) > 0
}
// CardinalityBytes returns the number of values associated with the given tag key.
func (m *measurement) CardinalityBytes(key []byte) int {
m.mu.RLock()
defer m.mu.RUnlock()
return m.seriesByTagKeyValue[string(key)].Cardinality()
}
// AddSeries adds a series to the measurement's index.
// It returns true if the series was added successfully or false if the series was already present.
func (m *measurement) AddSeries(s *series) bool {
if s == nil {
return false
}
m.mu.RLock()
if m.seriesByID[s.ID] != nil {
m.mu.RUnlock()
return false
}
m.mu.RUnlock()
m.mu.Lock()
defer m.mu.Unlock()
if m.seriesByID[s.ID] != nil {
return false
}
m.seriesByID[s.ID] = s
if len(m.seriesByID) == 1 || (len(m.sortedSeriesIDs) == len(m.seriesByID)-1 && s.ID > m.sortedSeriesIDs[len(m.sortedSeriesIDs)-1]) {
m.sortedSeriesIDs = append(m.sortedSeriesIDs, s.ID)
}
// add this series id to the tag index on the measurement
for _, t := range s.Tags {
valueMap := m.seriesByTagKeyValue[string(t.Key)]
if valueMap == nil {
valueMap = newTagKeyValue()
m.seriesByTagKeyValue[string(t.Key)] = valueMap
}
valueMap.InsertSeriesIDByte(t.Value, s.ID)
}
return true
}
// DropSeries removes a series from the measurement's index.
func (m *measurement) DropSeries(series *series) {
seriesID := series.ID
m.mu.Lock()
defer m.mu.Unlock()
// Existence check before delete here to clean up the caching/indexing only when needed
if _, ok := m.seriesByID[seriesID]; !ok {
return
}
delete(m.seriesByID, seriesID)
// clear our lazily sorted set of ids
m.sortedSeriesIDs = m.sortedSeriesIDs[:0]
// Mark that this measurements tagValue map has stale entries that need to be rebuilt.
m.dirty = true
}
func (m *measurement) Rebuild() *measurement {
m.mu.RLock()
// Nothing needs to be rebuilt.
if !m.dirty {
m.mu.RUnlock()
return m
}
// Create a new measurement from the state of the existing measurement
nm := newMeasurement(m.Database, string(m.NameBytes))
nm.fieldNames = m.fieldNames
m.mu.RUnlock()
// Re-add each series to allow the measurement indexes to get re-created. If there were
// deletes, the existing measurement may have references to deleted series that need to be
// expunged. Note: we're NOT using SeriesIDs which returns the series in sorted order because
// we need to do this under a write lock to prevent races. The series are added in sorted
// order to prevent resorting them again after they are all re-added.
m.mu.Lock()
defer m.mu.Unlock()
for k, v := range m.seriesByID {
if v.Deleted() {
continue
}
m.sortedSeriesIDs = append(m.sortedSeriesIDs, k)
}
sort.Sort(m.sortedSeriesIDs)
for _, id := range m.sortedSeriesIDs {
if s := m.seriesByID[id]; s != nil {
// Explicitly set the new measurement on the series.
s.Measurement = nm
nm.AddSeries(s)
}
}
return nm
}
// filters walks the where clause of a select statement and returns a map with all series ids
// matching the where clause and any filter expression that should be applied to each
func (m *measurement) filters(condition influxql.Expr) ([]uint64, map[uint64]influxql.Expr, error) {
if condition == nil {
return m.SeriesIDs(), nil, nil
}
return m.WalkWhereForSeriesIds(condition)
}
// TagSets returns the unique tag sets that exist for the given tag keys. This is used to determine
// what composite series will be created by a group by. i.e. "group by region" should return:
// {"region":"uswest"}, {"region":"useast"}
// or region, service returns
// {"region": "uswest", "service": "redis"}, {"region": "uswest", "service": "mysql"}, etc...
// This will also populate the TagSet objects with the series IDs that match each tagset and any
// influx filter expression that goes with the series
// TODO: this shouldn't be exported. However, until tx.go and the engine get refactored into tsdb, we need it.
func (m *measurement) TagSets(shardSeriesIDs *tsdb.SeriesIDSet, opt query.IteratorOptions) ([]*query.TagSet, error) {
// get the unique set of series ids and the filters that should be applied to each
ids, filters, err := m.filters(opt.Condition)
if err != nil {
return nil, err
}
var dims []string
if len(opt.Dimensions) > 0 {
dims = make([]string, len(opt.Dimensions))
copy(dims, opt.Dimensions)
sort.Strings(dims)
}
m.mu.RLock()
// For every series, get the tag values for the requested tag keys i.e. dimensions. This is the
// TagSet for that series. Series with the same TagSet are then grouped together, because for the
// purpose of GROUP BY they are part of the same composite series.
tagSets := make(map[string]*query.TagSet, 64)
var seriesN int
for _, id := range ids {
// Abort if the query was killed
select {
case <-opt.InterruptCh:
m.mu.RUnlock()
return nil, query.ErrQueryInterrupted
default:
}
if opt.MaxSeriesN > 0 && seriesN > opt.MaxSeriesN {
m.mu.RUnlock()
return nil, fmt.Errorf("max-select-series limit exceeded: (%d/%d)", seriesN, opt.MaxSeriesN)
}
s := m.seriesByID[id]
if s == nil || s.Deleted() || !shardSeriesIDs.Contains(id) {
continue
}
if opt.Authorizer != nil && !opt.Authorizer.AuthorizeSeriesRead(m.Database, m.NameBytes, s.Tags) {
continue
}
var tagsAsKey []byte
if len(dims) > 0 {
tagsAsKey = tsdb.MakeTagsKey(dims, s.Tags)
}
tagSet := tagSets[string(tagsAsKey)]
if tagSet == nil {
// This TagSet is new, create a new entry for it.
tagSet = &query.TagSet{
Tags: nil,
Key: tagsAsKey,
}
tagSets[string(tagsAsKey)] = tagSet
}
// Associate the series and filter with the Tagset.
tagSet.AddFilter(s.Key, filters[id])
seriesN++
}
// Release the lock while we sort all the tags
m.mu.RUnlock()
// Sort the series in each tag set.
for _, t := range tagSets {
// Abort if the query was killed
select {
case <-opt.InterruptCh:
return nil, query.ErrQueryInterrupted
default:
}
sort.Sort(t)
}
// The TagSets have been created, as a map of TagSets. Just send
// the values back as a slice, sorting for consistency.
sortedTagsSets := make([]*query.TagSet, 0, len(tagSets))
for _, v := range tagSets {
sortedTagsSets = append(sortedTagsSets, v)
}
sort.Sort(byTagKey(sortedTagsSets))
return sortedTagsSets, nil
}
// intersectSeriesFilters performs an intersection for two sets of ids and filter expressions.
func intersectSeriesFilters(lids, rids seriesIDs, lfilters, rfilters FilterExprs) (seriesIDs, FilterExprs) {
// We only want to allocate a slice and map of the smaller size.
var ids []uint64
if len(lids) > len(rids) {
ids = make([]uint64, 0, len(rids))
} else {
ids = make([]uint64, 0, len(lids))
}
var filters FilterExprs
if len(lfilters) > len(rfilters) {
filters = make(FilterExprs, len(rfilters))
} else {
filters = make(FilterExprs, len(lfilters))
}
// They're in sorted order so advance the counter as needed.
// This is, don't run comparisons against lower values that we've already passed.
for len(lids) > 0 && len(rids) > 0 {
lid, rid := lids[0], rids[0]
if lid == rid {
ids = append(ids, lid)
var expr influxql.Expr
lfilter := lfilters[lid]
rfilter := rfilters[rid]
if lfilter != nil && rfilter != nil {
be := &influxql.BinaryExpr{
Op: influxql.AND,
LHS: lfilter,
RHS: rfilter,
}
expr = influxql.Reduce(be, nil)
} else if lfilter != nil {
expr = lfilter
} else if rfilter != nil {
expr = rfilter
}
if expr != nil {
filters[lid] = expr
}
lids, rids = lids[1:], rids[1:]
} else if lid < rid {
lids = lids[1:]
} else {
rids = rids[1:]
}
}
return ids, filters
}
// unionSeriesFilters performs a union for two sets of ids and filter expressions.
func unionSeriesFilters(lids, rids seriesIDs, lfilters, rfilters FilterExprs) (seriesIDs, FilterExprs) {
ids := make([]uint64, 0, len(lids)+len(rids))
// Setup the filters with the smallest size since we will discard filters
// that do not have a match on the other side.
var filters FilterExprs
if len(lfilters) < len(rfilters) {
filters = make(FilterExprs, len(lfilters))
} else {
filters = make(FilterExprs, len(rfilters))
}
for len(lids) > 0 && len(rids) > 0 {
lid, rid := lids[0], rids[0]
if lid == rid {
ids = append(ids, lid)
// If one side does not have a filter, then the series has been
// included on one side of the OR with no condition. Eliminate the
// filter in this case.
var expr influxql.Expr
lfilter := lfilters[lid]
rfilter := rfilters[rid]
if lfilter != nil && rfilter != nil {
be := &influxql.BinaryExpr{
Op: influxql.OR,
LHS: lfilter,
RHS: rfilter,
}
expr = influxql.Reduce(be, nil)
}
if expr != nil {
filters[lid] = expr
}
lids, rids = lids[1:], rids[1:]
} else if lid < rid {
ids = append(ids, lid)
filter := lfilters[lid]
if filter != nil {
filters[lid] = filter
}
lids = lids[1:]
} else {
ids = append(ids, rid)
filter := rfilters[rid]
if filter != nil {
filters[rid] = filter
}
rids = rids[1:]
}
}
// Now append the remainder.
if len(lids) > 0 {
for i := 0; i < len(lids); i++ {
ids = append(ids, lids[i])
filter := lfilters[lids[i]]
if filter != nil {
filters[lids[i]] = filter
}
}
} else if len(rids) > 0 {
for i := 0; i < len(rids); i++ {
ids = append(ids, rids[i])
filter := rfilters[rids[i]]
if filter != nil {
filters[rids[i]] = filter
}
}
}
return ids, filters
}
// SeriesIDsByTagKey returns a list of all series for a tag key.
func (m *measurement) SeriesIDsByTagKey(key []byte) seriesIDs {
tagVals := m.seriesByTagKeyValue[string(key)]
if tagVals == nil {
return nil
}
var ids seriesIDs
tagVals.RangeAll(func(_ string, a seriesIDs) {
ids = append(ids, a...)
})
sort.Sort(ids)
return ids
}
// SeriesIDsByTagValue returns a list of all series for a tag value.
func (m *measurement) SeriesIDsByTagValue(key, value []byte) seriesIDs {
tagVals := m.seriesByTagKeyValue[string(key)]
if tagVals == nil {
return nil
}
return tagVals.Load(string(value))
}
// IDsForExpr returns the series IDs that are candidates to match the given expression.
func (m *measurement) IDsForExpr(n *influxql.BinaryExpr) seriesIDs {
ids, _, _ := m.idsForExpr(n)
return ids
}
// idsForExpr returns a collection of series ids and a filter expression that should
// be used to filter points from those series.
func (m *measurement) idsForExpr(n *influxql.BinaryExpr) (seriesIDs, influxql.Expr, error) {
// If this binary expression has another binary expression, then this
// is some expression math and we should just pass it to the underlying query.
if _, ok := n.LHS.(*influxql.BinaryExpr); ok {
return m.SeriesIDs(), n, nil
} else if _, ok := n.RHS.(*influxql.BinaryExpr); ok {
return m.SeriesIDs(), n, nil
}
// Retrieve the variable reference from the correct side of the expression.
name, ok := n.LHS.(*influxql.VarRef)
value := n.RHS
if !ok {
name, ok = n.RHS.(*influxql.VarRef)
if !ok {
// This is an expression we do not know how to evaluate. Let the
// query engine take care of this.
return m.SeriesIDs(), n, nil
}
value = n.LHS
}
// For fields, return all series IDs from this measurement and return
// the expression passed in, as the filter.
if name.Val != "_name" && ((name.Type == influxql.Unknown && m.HasField(name.Val)) || name.Type == influxql.AnyField || (name.Type != influxql.Tag && name.Type != influxql.Unknown)) {
return m.SeriesIDs(), n, nil
} else if value, ok := value.(*influxql.VarRef); ok {
// Check if the RHS is a variable and if it is a field.
if value.Val != "_name" && ((value.Type == influxql.Unknown && m.HasField(value.Val)) || name.Type == influxql.AnyField || (value.Type != influxql.Tag && value.Type != influxql.Unknown)) {
return m.SeriesIDs(), n, nil
}
}
// Retrieve list of series with this tag key.
tagVals := m.seriesByTagKeyValue[name.Val]
// if we're looking for series with a specific tag value
if str, ok := value.(*influxql.StringLiteral); ok {
var ids seriesIDs
// Special handling for "_name" to match measurement name.
if name.Val == "_name" {
if (n.Op == influxql.EQ && str.Val == m.Name) || (n.Op == influxql.NEQ && str.Val != m.Name) {
return m.SeriesIDs(), nil, nil
}
return nil, nil, nil
}
if n.Op == influxql.EQ {
if str.Val != "" {
// return series that have a tag of specific value.
ids = tagVals.Load(str.Val)
} else {
// Make a copy of all series ids and mark the ones we need to evict.
sIDs := newEvictSeriesIDs(m.SeriesIDs())
// Go through each slice and mark the values we find as zero so
// they can be removed later.
tagVals.RangeAll(func(_ string, a seriesIDs) {
sIDs.mark(a)
})
// Make a new slice with only the remaining ids.
ids = sIDs.evict()
}
} else if n.Op == influxql.NEQ {
if str.Val != "" {
ids = m.SeriesIDs()
if vals := tagVals.Load(str.Val); len(vals) > 0 {
ids = ids.Reject(vals)
}
} else {
tagVals.RangeAll(func(_ string, a seriesIDs) {
ids = append(ids, a...)
})
sort.Sort(ids)
}
}
return ids, nil, nil
}
// if we're looking for series with a tag value that matches a regex
if re, ok := value.(*influxql.RegexLiteral); ok {
var ids seriesIDs
// Special handling for "_name" to match measurement name.
if name.Val == "_name" {
match := re.Val.MatchString(m.Name)
if (n.Op == influxql.EQREGEX && match) || (n.Op == influxql.NEQREGEX && !match) {
return m.SeriesIDs(), &influxql.BooleanLiteral{Val: true}, nil
}
return nil, nil, nil
}
// Check if we match the empty string to see if we should include series
// that are missing the tag.
empty := re.Val.MatchString("")
// Gather the series that match the regex. If we should include the empty string,
// start with the list of all series and reject series that don't match our condition.
// If we should not include the empty string, include series that match our condition.
if empty && n.Op == influxql.EQREGEX {
// See comments above for EQ with a StringLiteral.
sIDs := newEvictSeriesIDs(m.SeriesIDs())
tagVals.RangeAll(func(k string, a seriesIDs) {
if !re.Val.MatchString(k) {
sIDs.mark(a)
}
})
ids = sIDs.evict()
} else if empty && n.Op == influxql.NEQREGEX {
ids = make(seriesIDs, 0, len(m.SeriesIDs()))
tagVals.RangeAll(func(k string, a seriesIDs) {
if !re.Val.MatchString(k) {
ids = append(ids, a...)
}
})
sort.Sort(ids)
} else if !empty && n.Op == influxql.EQREGEX {
ids = make(seriesIDs, 0, len(m.SeriesIDs()))
tagVals.RangeAll(func(k string, a seriesIDs) {
if re.Val.MatchString(k) {
ids = append(ids, a...)
}
})
sort.Sort(ids)
} else if !empty && n.Op == influxql.NEQREGEX {
// See comments above for EQ with a StringLiteral.
sIDs := newEvictSeriesIDs(m.SeriesIDs())
tagVals.RangeAll(func(k string, a seriesIDs) {
if re.Val.MatchString(k) {
sIDs.mark(a)
}
})
ids = sIDs.evict()
}
return ids, nil, nil
}
// compare tag values
if ref, ok := value.(*influxql.VarRef); ok {
var ids seriesIDs
if n.Op == influxql.NEQ {
ids = m.SeriesIDs()
}
rhsTagVals := m.seriesByTagKeyValue[ref.Val]
tagVals.RangeAll(func(k string, a seriesIDs) {
tags := a.Intersect(rhsTagVals.Load(k))
if n.Op == influxql.EQ {
ids = ids.Union(tags)
} else if n.Op == influxql.NEQ {
ids = ids.Reject(tags)
}
})
return ids, nil, nil
}
// We do not know how to evaluate this expression so pass it
// on to the query engine.
return m.SeriesIDs(), n, nil
}
// FilterExprs represents a map of series IDs to filter expressions.
type FilterExprs map[uint64]influxql.Expr
// DeleteBoolLiteralTrues deletes all elements whose filter expression is a boolean literal true.
func (fe FilterExprs) DeleteBoolLiteralTrues() {
for id, expr := range fe {
if e, ok := expr.(*influxql.BooleanLiteral); ok && e.Val {
delete(fe, id)
}
}
}
// Len returns the number of elements.
func (fe FilterExprs) Len() int {
if fe == nil {
return 0
}
return len(fe)
}
// WalkWhereForSeriesIds recursively walks the WHERE clause and returns an ordered set of series IDs and
// a map from those series IDs to filter expressions that should be used to limit points returned in
// the final query result.
func (m *measurement) WalkWhereForSeriesIds(expr influxql.Expr) (seriesIDs, FilterExprs, error) {
switch n := expr.(type) {
case *influxql.BinaryExpr:
switch n.Op {
case influxql.EQ, influxql.NEQ, influxql.LT, influxql.LTE, influxql.GT, influxql.GTE, influxql.EQREGEX, influxql.NEQREGEX:
// Get the series IDs and filter expression for the tag or field comparison.
ids, expr, err := m.idsForExpr(n)
if err != nil {
return nil, nil, err
}
if len(ids) == 0 {
return ids, nil, nil
}
// If the expression is a boolean literal that is true, ignore it.
if b, ok := expr.(*influxql.BooleanLiteral); ok && b.Val {
expr = nil
}
var filters FilterExprs
if expr != nil {
filters = make(FilterExprs, len(ids))
for _, id := range ids {
filters[id] = expr
}
}
return ids, filters, nil
case influxql.AND, influxql.OR:
// Get the series IDs and filter expressions for the LHS.
lids, lfilters, err := m.WalkWhereForSeriesIds(n.LHS)
if err != nil {
return nil, nil, err
}
// Get the series IDs and filter expressions for the RHS.
rids, rfilters, err := m.WalkWhereForSeriesIds(n.RHS)
if err != nil {
return nil, nil, err
}
// Combine the series IDs from the LHS and RHS.
if n.Op == influxql.AND {
ids, filters := intersectSeriesFilters(lids, rids, lfilters, rfilters)
return ids, filters, nil
} else {
ids, filters := unionSeriesFilters(lids, rids, lfilters, rfilters)
return ids, filters, nil
}
}
ids, _, err := m.idsForExpr(n)
return ids, nil, err
case *influxql.ParenExpr:
// walk down the tree
return m.WalkWhereForSeriesIds(n.Expr)
case *influxql.BooleanLiteral:
if n.Val {
return m.SeriesIDs(), nil, nil
}
return nil, nil, nil
default:
return nil, nil, nil
}
}
// SeriesIDsAllOrByExpr walks an expressions for matching series IDs
// or, if no expressions is given, returns all series IDs for the measurement.
func (m *measurement) SeriesIDsAllOrByExpr(expr influxql.Expr) (seriesIDs, error) {
// If no expression given or the measurement has no series,
// we can take just return the ids or nil accordingly.
if expr == nil {
return m.SeriesIDs(), nil
}
m.mu.RLock()
l := len(m.seriesByID)
m.mu.RUnlock()
if l == 0 {
return nil, nil
}
// Get series IDs that match the WHERE clause.
ids, _, err := m.WalkWhereForSeriesIds(expr)
if err != nil {
return nil, err
}
return ids, nil
}
// tagKeysByExpr extracts the tag keys wanted by the expression.
func (m *measurement) TagKeysByExpr(expr influxql.Expr) (map[string]struct{}, error) {
if expr == nil {
set := make(map[string]struct{})
for _, key := range m.TagKeys() {
set[key] = struct{}{}
}
return set, nil
}
switch e := expr.(type) {
case *influxql.BinaryExpr:
switch e.Op {
case influxql.EQ, influxql.NEQ, influxql.EQREGEX, influxql.NEQREGEX:
tag, ok := e.LHS.(*influxql.VarRef)
if !ok {
return nil, fmt.Errorf("left side of '%s' must be a tag key", e.Op.String())
} else if tag.Val != "_tagKey" {
return nil, nil
}
if influxql.IsRegexOp(e.Op) {
re, ok := e.RHS.(*influxql.RegexLiteral)
if !ok {
return nil, fmt.Errorf("right side of '%s' must be a regular expression", e.Op.String())
}
return m.tagKeysByFilter(e.Op, "", re.Val), nil
}
s, ok := e.RHS.(*influxql.StringLiteral)
if !ok {
return nil, fmt.Errorf("right side of '%s' must be a tag value string", e.Op.String())
}
return m.tagKeysByFilter(e.Op, s.Val, nil), nil
case influxql.AND, influxql.OR:
lhs, err := m.TagKeysByExpr(e.LHS)
if err != nil {
return nil, err
}
rhs, err := m.TagKeysByExpr(e.RHS)
if err != nil {
return nil, err
}
if lhs != nil && rhs != nil {
if e.Op == influxql.OR {
return stringSet(lhs).union(rhs), nil
}
return stringSet(lhs).intersect(rhs), nil
} else if lhs != nil {
return lhs, nil
} else if rhs != nil {
return rhs, nil
}
return nil, nil
default:
return nil, fmt.Errorf("invalid operator")
}
case *influxql.ParenExpr:
return m.TagKeysByExpr(e.Expr)
}
return nil, fmt.Errorf("%#v", expr)
}
// tagKeysByFilter will filter the tag keys for the measurement.
func (m *measurement) tagKeysByFilter(op influxql.Token, val string, regex *regexp.Regexp) stringSet {
ss := newStringSet()
for _, key := range m.TagKeys() {
var matched bool
switch op {
case influxql.EQ:
matched = key == val
case influxql.NEQ:
matched = key != val
case influxql.EQREGEX:
matched = regex.MatchString(key)
case influxql.NEQREGEX:
matched = !regex.MatchString(key)
}
if !matched {
continue
}
ss.add(key)
}
return ss
}
// Measurements represents a list of *Measurement.
type measurements []*measurement
// Len implements sort.Interface.
func (a measurements) Len() int { return len(a) }