func (self *ShardData) QueryResponseBufferSize(querySpec *parser.QuerySpec, batchPointSize int) int {
groupByTime := querySpec.GetGroupByInterval()
if groupByTime == nil {
// If the group by time is nil, we shouldn't have to use a buffer since the shards should be queried sequentially.
// However, set this to something high just to be safe.
log.Debug("BUFFER SIZE: 1000")
return 1000
}
tickCount := int(self.shardNanoseconds / uint64(*groupByTime))
if tickCount < 10 {
tickCount = 100
} else if tickCount > 1000 {
// cap this because each response should have up to this number of points in it.
tickCount = tickCount / batchPointSize
// but make sure it's at least 1k
if tickCount < 1000 {
tickCount = 1000
}
}
columnCount := querySpec.GetGroupByColumnCount()
if columnCount > 1 {
// we don't really know the cardinality for any column up front. This is a just a multiplier so we'll see how this goes.
// each response can have many points, so having a buffer of the ticks * 100 should be safe, but we'll see.
tickCount = tickCount * 100
}
log.Debug("BUFFER SIZE: %d", tickCount)
return tickCount
}
func (self *Shard) Query(querySpec *parser.QuerySpec, processor cluster.QueryProcessor) error {
if querySpec.IsListSeriesQuery() {
return self.executeListSeriesQuery(querySpec, processor)
} else if querySpec.IsDeleteFromSeriesQuery() {
return self.executeDeleteQuery(querySpec, processor)
}
seriesAndColumns := querySpec.SelectQuery().GetReferencedColumns()
if !self.hasReadAccess(querySpec) {
return errors.New("User does not have access to one or more of the series requested.")
}
for series, columns := range seriesAndColumns {
if regex, ok := series.GetCompiledRegex(); ok {
seriesNames := self.metaStore.GetSeriesForDatabaseAndRegex(querySpec.Database(), regex)
for _, name := range seriesNames {
if !querySpec.HasReadAccess(name) {
continue
}
err := self.executeQueryForSeries(querySpec, name, columns, processor)
if err != nil {
return err
}
}
} else {
err := self.executeQueryForSeries(querySpec, series.Name, columns, processor)
if err != nil {
return err
}
}
}
return nil
}
func (self *LevelDbShard) executeListSeriesQuery(querySpec *parser.QuerySpec, processor cluster.QueryProcessor) error {
it := self.db.NewIterator(self.readOptions)
defer it.Close()
database := querySpec.Database()
seekKey := append(DATABASE_SERIES_INDEX_PREFIX, []byte(querySpec.Database()+"~")...)
it.Seek(seekKey)
dbNameStart := len(DATABASE_SERIES_INDEX_PREFIX)
for it = it; it.Valid(); it.Next() {
key := it.Key()
if len(key) < dbNameStart || !bytes.Equal(key[:dbNameStart], DATABASE_SERIES_INDEX_PREFIX) {
break
}
dbSeries := string(key[dbNameStart:])
parts := strings.Split(dbSeries, "~")
if len(parts) > 1 {
if parts[0] != database {
break
}
name := parts[1]
shouldContinue := processor.YieldPoint(&name, nil, nil)
if !shouldContinue {
return nil
}
}
}
return nil
}
func (self *CoordinatorImpl) runDeleteQuery(querySpec *parser.QuerySpec, seriesWriter SeriesWriter) error {
db := querySpec.Database()
if !querySpec.User().IsDbAdmin(db) {
return common.NewAuthorizationError("Insufficient permission to write to %s", db)
}
querySpec.RunAgainstAllServersInShard = true
return self.runQuerySpec(querySpec, seriesWriter)
}
func (self *CoordinatorImpl) runDeleteQuery(querySpec *parser.QuerySpec, seriesWriter SeriesWriter) error {
user := querySpec.User()
db := querySpec.Database()
if ok, err := self.permissions.AuthorizeDeleteQuery(user, db); !ok {
return err
}
querySpec.RunAgainstAllServersInShard = true
return self.runQuerySpec(querySpec, seriesWriter)
}
func (self *Shard) executeDropSeriesQuery(querySpec *parser.QuerySpec, processor cluster.QueryProcessor) error {
database := querySpec.Database()
series := querySpec.Query().DropSeriesQuery.GetTableName()
err := self.dropSeries(database, series)
if err != nil {
return err
}
self.db.Compact()
return nil
}
func (self *Shard) hasReadAccess(querySpec *parser.QuerySpec) bool {
for series := range querySpec.SeriesValuesAndColumns() {
if _, isRegex := series.GetCompiledRegex(); !isRegex {
if !querySpec.HasReadAccess(series.Name) {
return false
}
}
}
return true
}
func (self *CoordinatorImpl) runQuerySpec(querySpec *parser.QuerySpec, seriesWriter SeriesWriter) error {
shards, processor, seriesClosed, err := self.getShardsAndProcessor(querySpec, seriesWriter)
if err != nil {
return err
}
defer func() {
if processor != nil {
processor.Close()
<-seriesClosed
} else {
seriesWriter.Close()
}
}()
shardConcurrentLimit := self.config.ConcurrentShardQueryLimit
if self.shouldQuerySequentially(shards, querySpec) {
log.Debug("Querying shards sequentially")
shardConcurrentLimit = 1
}
log.Debug("Shard concurrent limit: ", shardConcurrentLimit)
errors := make(chan error, shardConcurrentLimit)
for i := 0; i < shardConcurrentLimit; i++ {
errors <- nil
}
responseChannels := make(chan (<-chan *protocol.Response), shardConcurrentLimit)
go self.readFromResposneChannels(processor, seriesWriter, querySpec.IsExplainQuery(), errors, responseChannels)
err = self.queryShards(querySpec, shards, errors, responseChannels)
// make sure we read the rest of the errors and responses
for _err := range errors {
if err == nil {
err = _err
}
}
for responsechan := range responseChannels {
for response := range responsechan {
if response.GetType() != endStreamResponse {
continue
}
if response.ErrorMessage != nil && err == nil {
err = common.NewQueryError(common.InvalidArgument, *response.ErrorMessage)
}
break
}
}
return err
}
func (self *CoordinatorImpl) checkPermission(user common.User, querySpec *parser.QuerySpec) error {
// if this isn't a regex query do the permission check here
fromClause := querySpec.SelectQuery().GetFromClause()
for _, n := range fromClause.Names {
if _, ok := n.Name.GetCompiledRegex(); ok {
break
} else if name := n.Name.Name; !user.HasReadAccess(name) {
return fmt.Errorf("User doesn't have read access to %s", name)
}
}
return nil
}
func (self *CoordinatorImpl) runListSeriesQuery(querySpec *parser.QuerySpec, seriesWriter SeriesWriter) error {
series := self.clusterConfiguration.MetaStore.GetSeriesForDatabase(querySpec.Database())
name := "list_series_result"
fields := []string{"name"}
points := make([]*protocol.Point, len(series), len(series))
for i, s := range series {
fieldValues := []*protocol.FieldValue{{StringValue: proto.String(s)}}
points[i] = &protocol.Point{Values: fieldValues}
}
seriesResult := &protocol.Series{Name: &name, Fields: fields, Points: points}
seriesWriter.Write(seriesResult)
seriesWriter.Close()
return nil
}
func (self *Shard) fetchSinglePoint(querySpec *parser.QuerySpec, series string, fields []*metastore.Field) (*protocol.Series, error) {
query := querySpec.SelectQuery()
fieldCount := len(fields)
fieldNames := make([]string, 0, fieldCount)
point := &protocol.Point{Values: make([]*protocol.FieldValue, 0, fieldCount)}
timestamp := common.TimeToMicroseconds(query.GetStartTime())
sequenceNumber, err := query.GetSinglePointQuerySequenceNumber()
if err != nil {
return nil, err
}
timeAndSequenceBuffer := bytes.NewBuffer(make([]byte, 0, 16))
binary.Write(timeAndSequenceBuffer, binary.BigEndian, self.convertTimestampToUint(×tamp))
binary.Write(timeAndSequenceBuffer, binary.BigEndian, sequenceNumber)
sequenceNumber_uint64 := uint64(sequenceNumber)
point.SequenceNumber = &sequenceNumber_uint64
point.SetTimestampInMicroseconds(timestamp)
timeAndSequenceBytes := timeAndSequenceBuffer.Bytes()
for _, field := range fields {
pointKeyBuff := bytes.NewBuffer(make([]byte, 0, 24))
pointKeyBuff.Write(field.IdAsBytes())
pointKeyBuff.Write(timeAndSequenceBytes)
if data, err := self.db.Get(pointKeyBuff.Bytes()); err != nil {
return nil, err
} else {
fieldValue := &protocol.FieldValue{}
err := proto.Unmarshal(data, fieldValue)
if err != nil {
return nil, err
}
if data != nil {
fieldNames = append(fieldNames, field.Name)
point.Values = append(point.Values, fieldValue)
}
}
}
result := &protocol.Series{Name: &series, Fields: fieldNames, Points: []*protocol.Point{point}}
return result, nil
}
func (self *CoordinatorImpl) runDropSeriesQuery(querySpec *parser.QuerySpec, seriesWriter SeriesWriter) error {
user := querySpec.User()
db := querySpec.Database()
series := querySpec.Query().DropSeriesQuery.GetTableName()
if !user.IsClusterAdmin() && !user.IsDbAdmin(db) && !user.HasWriteAccess(series) {
return common.NewAuthorizationError("Insufficient permissions to drop series")
}
querySpec.RunAgainstAllServersInShard = true
return self.runQuerySpec(querySpec, seriesWriter)
}
func (self *CoordinatorImpl) runDropSeriesQuery(querySpec *parser.QuerySpec, seriesWriter SeriesWriter) error {
user := querySpec.User()
db := querySpec.Database()
series := querySpec.Query().DropSeriesQuery.GetTableName()
if ok, err := self.permissions.AuthorizeDropSeries(user, db, series); !ok {
return err
}
querySpec.RunAgainstAllServersInShard = true
return self.runQuerySpec(querySpec, seriesWriter)
}
func (self *CoordinatorImpl) shouldQuerySequentially(shards []*cluster.ShardData, querySpec *parser.QuerySpec) bool {
// if the query isn't a select, then it doesn't matter
if querySpec.SelectQuery != nil {
return false
}
// if the query is a regex, we can't predic the number of responses
// we get back
if querySpec.IsRegex() {
return true
}
groupByClause := querySpec.SelectQuery().GetGroupByClause()
// if there's no group by clause, then we're returning raw points
// with some math done on them, thus we can't predict the number of
// points
if groupByClause == nil {
return true
}
// if there's a group by clause but no group by interval, we can't
// predict the cardinality of the columns used in the group by
// interval, thus we can't predict the number of responses returned
// from the shard
if querySpec.GetGroupByInterval() == nil {
return true
}
// if there's a group by time and other columns, then the previous
// logic holds
if len(groupByClause.Elems) > 1 {
return true
}
// parallel querying only if we're querying a single series, with
// group by time only
return false
}
func (self *ClusterConfiguration) GetShards(querySpec *parser.QuerySpec) []*ShardData {
self.shardsByIdLock.RLock()
defer self.shardsByIdLock.RUnlock()
shouldQueryShortTerm, shouldQueryLongTerm := querySpec.ShouldQueryShortTermAndLongTerm()
if shouldQueryLongTerm && shouldQueryShortTerm {
shards := make([]*ShardData, 0)
shards = append(shards, self.getShardRange(querySpec, self.shortTermShards)...)
shards = append(shards, self.getShardRange(querySpec, self.longTermShards)...)
if querySpec.IsAscending() {
SortShardsByTimeAscending(shards)
} else {
SortShardsByTimeDescending(shards)
}
return shards
}
var shards []*ShardData
if shouldQueryLongTerm {
shards = self.getShardRange(querySpec, self.longTermShards)
} else {
shards = self.getShardRange(querySpec, self.shortTermShards)
}
if querySpec.IsAscending() {
newShards := append([]*ShardData{}, shards...)
SortShardsByTimeAscending(newShards)
return newShards
}
return shards
}
func (self *ClusterConfiguration) GetShards(querySpec *parser.QuerySpec) []*ShardData {
self.shardsByIdLock.RLock()
defer self.shardsByIdLock.RUnlock()
if querySpec.IsDropSeriesQuery() {
seriesName := querySpec.Query().DropSeriesQuery.GetTableName()
if seriesName[0] < FIRST_LOWER_CASE_CHARACTER {
return self.longTermShards
}
return self.shortTermShards
}
shouldQueryShortTerm, shouldQueryLongTerm := querySpec.ShouldQueryShortTermAndLongTerm()
if shouldQueryLongTerm && shouldQueryShortTerm {
shards := make([]*ShardData, 0)
shards = append(shards, self.getShardRange(querySpec, self.shortTermShards)...)
shards = append(shards, self.getShardRange(querySpec, self.longTermShards)...)
if querySpec.IsAscending() {
SortShardsByTimeAscending(shards)
} else {
SortShardsByTimeDescending(shards)
}
return shards
}
var shards []*ShardData
if shouldQueryLongTerm {
shards = self.getShardRange(querySpec, self.longTermShards)
} else {
shards = self.getShardRange(querySpec, self.shortTermShards)
}
if querySpec.IsAscending() {
newShards := append([]*ShardData{}, shards...)
SortShardsByTimeAscending(newShards)
return newShards
}
return shards
}
func (self *CoordinatorImpl) runQuerySpec(querySpec *parser.QuerySpec, seriesWriter SeriesWriter) error {
shards, processor, seriesClosed, err := self.getShardsAndProcessor(querySpec, seriesWriter)
if err != nil {
return err
}
shardConcurrentLimit := self.config.ConcurrentShardQueryLimit
if self.shouldQuerySequentially(shards, querySpec) {
log.Debug("Querying shards sequentially")
shardConcurrentLimit = 1
}
log.Debug("Shard concurrent limit: ", shardConcurrentLimit)
for i := 0; i < len(shards); i += shardConcurrentLimit {
responses := make([]<-chan *protocol.Response, 0, shardConcurrentLimit)
for j := 0; j < shardConcurrentLimit && i+j < len(shards); j++ {
shard := shards[i+j]
responseChan := make(chan *protocol.Response, shard.QueryResponseBufferSize(querySpec, self.config.LevelDbPointBatchSize))
// We query shards for data and stream them to query processor
log.Debug("QUERYING: shard: ", i+j, shard.String())
go shard.Query(querySpec, responseChan)
responses = append(responses, responseChan)
}
err := self.readFromResposneChannels(processor, seriesWriter, querySpec.IsExplainQuery(), responses)
if err != nil {
log.Error("Reading responses from channels returned an error: %s", err)
return err
}
}
if processor != nil {
processor.Close()
<-seriesClosed
return err
}
seriesWriter.Close()
return err
}
func (self *LevelDbShard) executeDeleteQuery(querySpec *parser.QuerySpec, processor cluster.QueryProcessor) error {
query := querySpec.DeleteQuery()
series := query.GetFromClause()
database := querySpec.Database()
if series.Type != parser.FromClauseArray {
return fmt.Errorf("Merge and Inner joins can't be used with a delete query", series.Type)
}
for _, name := range series.Names {
var err error
if regex, ok := name.Name.GetCompiledRegex(); ok {
err = self.deleteRangeOfRegex(database, regex, query.GetStartTime(), query.GetEndTime())
} else {
err = self.deleteRangeOfSeries(database, name.Name.Name, query.GetStartTime(), query.GetEndTime())
}
if err != nil {
return err
}
}
return nil
}
func (self *CoordinatorImpl) shouldQuerySequentially(shards []*cluster.ShardData, querySpec *parser.QuerySpec) bool {
// if the query isn't a select, then it doesn't matter
if querySpec.SelectQuery() == nil {
return false
}
// if the query is a regex, we can't predic the number of responses
// we get back
if querySpec.IsRegex() {
return true
}
groupByClause := querySpec.SelectQuery().GetGroupByClause()
// if there's no group by clause, then we're returning raw points
// with some math done on them, thus we can't predict the number of
// points
if groupByClause == nil {
return true
}
// if there's a group by clause but no group by interval, we can't
// predict the cardinality of the columns used in the group by
// interval, thus we can't predict the number of responses returned
// from the shard
if querySpec.GetGroupByInterval() == nil {
return true
}
// if there's a group by time and other columns, then the previous
// logic holds
if len(groupByClause.Elems) > 1 {
return true
}
if !self.shouldAggregateLocally(shards, querySpec) {
return true
}
for _, shard := range shards {
bufferSize := shard.QueryResponseBufferSize(querySpec, self.config.LevelDbPointBatchSize)
// if the number of repsonses is too big, do a sequential querying
if bufferSize > self.config.ClusterMaxResponseBufferSize {
return true
}
}
// parallel querying only if we're querying a single series, with
// group by time only
return false
}
func (self *ShardData) ShouldAggregateLocally(querySpec *parser.QuerySpec) bool {
f := querySpec.GetFromClause()
if f != nil && (f.Type == parser.FromClauseInnerJoin || f.Type == parser.FromClauseMerge) {
return false
}
if self.durationIsSplit && querySpec.ReadsFromMultipleSeries() {
return false
}
groupByInterval := querySpec.GetGroupByInterval()
if groupByInterval == nil {
if querySpec.HasAggregates() {
return false
}
return true
}
return self.shardDuration%*groupByInterval == 0
}
func (self *CoordinatorImpl) getShardsAndProcessor(querySpec *parser.QuerySpec, writer SeriesWriter) ([]*cluster.ShardData, cluster.QueryProcessor, chan bool, error) {
shards := self.clusterConfiguration.GetShards(querySpec)
shouldAggregateLocally := self.shouldAggregateLocally(shards, querySpec)
var err error
var processor cluster.QueryProcessor
responseChan := make(chan *protocol.Response)
seriesClosed := make(chan bool)
selectQuery := querySpec.SelectQuery()
if selectQuery != nil {
if !shouldAggregateLocally {
// if we should aggregate in the coordinator (i.e. aggregation
// isn't happening locally at the shard level), create an engine
processor, err = engine.NewQueryEngine(querySpec.SelectQuery(), responseChan)
} else {
// if we have a query with limit, then create an engine, or we can
// make the passthrough limit aware
processor = engine.NewPassthroughEngineWithLimit(responseChan, 100, selectQuery.Limit)
}
} else if !shouldAggregateLocally {
processor = engine.NewPassthroughEngine(responseChan, 100)
}
if err != nil {
return nil, nil, nil, err
}
if processor == nil {
return shards, nil, nil, nil
}
go func() {
for {
response := <-responseChan
if *response.Type == endStreamResponse || *response.Type == accessDeniedResponse {
writer.Close()
seriesClosed <- true
return
}
if !(*response.Type == queryResponse && querySpec.IsExplainQuery()) {
if response.Series != nil && len(response.Series.Points) > 0 {
writer.Write(response.Series)
}
}
}
}()
return shards, processor, seriesClosed, nil
}
func (self *ShardData) ShouldAggregateLocally(querySpec *parser.QuerySpec) bool {
if self.durationIsSplit && querySpec.ReadsFromMultipleSeries() {
return false
}
groupByInterval := querySpec.GetGroupByInterval()
if groupByInterval == nil {
if querySpec.HasAggregates() {
return false
}
return true
}
return self.shardDuration%*groupByInterval == 0
}
func (self *CoordinatorImpl) runDropSeriesQuery(querySpec *parser.QuerySpec, seriesWriter SeriesWriter) error {
user := querySpec.User()
db := querySpec.Database()
series := querySpec.Query().DropSeriesQuery.GetTableName()
if ok, err := self.permissions.AuthorizeDropSeries(user, db, series); !ok {
return err
}
defer seriesWriter.Close()
fmt.Println("DROP series")
err := self.raftServer.DropSeries(db, series)
if err != nil {
return err
}
fmt.Println("DROP returning nil")
return nil
}
func (self *ShardData) createRequest(querySpec *parser.QuerySpec) *p.Request {
queryString := querySpec.GetQueryString()
user := querySpec.User()
userName := user.GetName()
database := querySpec.Database()
isDbUser := !user.IsClusterAdmin()
return &p.Request{
Type: &queryRequest,
ShardId: &self.id,
Query: &queryString,
UserName: &userName,
Database: &database,
IsDbUser: &isDbUser,
}
}
func (self *LevelDbShard) executeDropSeriesQuery(querySpec *parser.QuerySpec, processor cluster.QueryProcessor) error {
database := querySpec.Database()
series := querySpec.Query().DropSeriesQuery.GetTableName()
return self.dropSeries(database, series)
}
func (self *ShardData) Query(querySpec *parser.QuerySpec, response chan *p.Response) {
log.Debug("QUERY: shard %d, query '%s'", self.Id(), querySpec.GetQueryString())
defer common.RecoverFunc(querySpec.Database(), querySpec.GetQueryString(), func(err interface{}) {
response <- &p.Response{Type: &endStreamResponse, ErrorMessage: p.String(fmt.Sprintf("%s", err))}
})
// This is only for queries that are deletes or drops. They need to be sent everywhere as opposed to just the local or one of the remote shards.
// But this boolean should only be set to true on the server that receives the initial query.
if querySpec.RunAgainstAllServersInShard {
if querySpec.IsDeleteFromSeriesQuery() {
self.logAndHandleDeleteQuery(querySpec, response)
} else if querySpec.IsDropSeriesQuery() {
self.logAndHandleDropSeriesQuery(querySpec, response)
}
}
if self.IsLocal {
var processor QueryProcessor
var err error
if querySpec.IsListSeriesQuery() {
processor = engine.NewListSeriesEngine(response)
} else if querySpec.IsDeleteFromSeriesQuery() || querySpec.IsDropSeriesQuery() || querySpec.IsSinglePointQuery() {
maxDeleteResults := 10000
processor = engine.NewPassthroughEngine(response, maxDeleteResults)
} else {
query := querySpec.SelectQuery()
if self.ShouldAggregateLocally(querySpec) {
log.Debug("creating a query engine")
processor, err = engine.NewQueryEngine(query, response)
if err != nil {
response <- &p.Response{Type: &endStreamResponse, ErrorMessage: p.String(err.Error())}
log.Error("Error while creating engine: %s", err)
return
}
processor.SetShardInfo(int(self.Id()), self.IsLocal)
} else if query.HasAggregates() {
maxPointsToBufferBeforeSending := 1000
log.Debug("creating a passthrough engine")
processor = engine.NewPassthroughEngine(response, maxPointsToBufferBeforeSending)
} else {
maxPointsToBufferBeforeSending := 1000
log.Debug("creating a passthrough engine with limit")
processor = engine.NewPassthroughEngineWithLimit(response, maxPointsToBufferBeforeSending, query.Limit)
}
if query.GetFromClause().Type != parser.FromClauseInnerJoin {
// Joins do their own filtering since we need to get all
// points before filtering. This is due to the fact that some
// where expressions will be difficult to compute before the
// points are joined together, think where clause with
// left.column = 'something' or right.column =
// 'something_else'. We can't filter the individual series
// separately. The filtering happens in merge.go:55
processor = engine.NewFilteringEngine(query, processor)
}
}
shard, err := self.store.GetOrCreateShard(self.id)
if err != nil {
response <- &p.Response{Type: &endStreamResponse, ErrorMessage: p.String(err.Error())}
log.Error("Error while getting shards: %s", err)
return
}
defer self.store.ReturnShard(self.id)
err = shard.Query(querySpec, processor)
// if we call Close() in case of an error it will mask the error
if err != nil {
response <- &p.Response{Type: &endStreamResponse, ErrorMessage: p.String(err.Error())}
return
}
processor.Close()
response <- &p.Response{Type: &endStreamResponse}
return
}
if server := self.randomHealthyServer(); server != nil {
log.Debug("Querying server %d for shard %d", server.GetId(), self.Id())
request := self.createRequest(querySpec)
server.MakeRequest(request, response)
return
}
message := fmt.Sprintf("No servers up to query shard %d", self.id)
response <- &p.Response{Type: &endStreamResponse, ErrorMessage: &message}
log.Error(message)
}
func (self *Shard) executeListSeriesQuery(querySpec *parser.QuerySpec, processor cluster.QueryProcessor) error {
return self.yieldSeriesNamesForDb(querySpec.Database(), func(_name string) bool {
name := _name
return processor.YieldPoint(&name, nil, nil)
})
}
func (self *ShardData) Query(querySpec *parser.QuerySpec, response chan *p.Response) {
// This is only for queries that are deletes or drops. They need to be sent everywhere as opposed to just the local or one of the remote shards.
// But this boolean should only be set to true on the server that receives the initial query.
if querySpec.RunAgainstAllServersInShard {
if querySpec.IsDeleteFromSeriesQuery() {
self.logAndHandleDeleteQuery(querySpec, response)
} else if querySpec.IsDropSeriesQuery() {
self.logAndHandleDropSeriesQuery(querySpec, response)
}
}
if self.IsLocal {
var processor QueryProcessor
var err error
if querySpec.IsListSeriesQuery() {
processor = engine.NewListSeriesEngine(response)
} else if querySpec.IsDeleteFromSeriesQuery() || querySpec.IsDropSeriesQuery() || querySpec.IsSinglePointQuery() {
maxDeleteResults := 10000
processor = engine.NewPassthroughEngine(response, maxDeleteResults)
} else {
query := querySpec.SelectQuery()
if self.ShouldAggregateLocally(querySpec) {
log.Debug("creating a query engine\n")
processor, err = engine.NewQueryEngine(query, response)
if err != nil {
response <- &p.Response{Type: &endStreamResponse, ErrorMessage: p.String(err.Error())}
log.Error("Error while creating engine: %s", err)
return
}
processor.SetShardInfo(int(self.Id()), self.IsLocal)
} else if query.HasAggregates() {
maxPointsToBufferBeforeSending := 1000
log.Debug("creating a passthrough engine\n")
processor = engine.NewPassthroughEngine(response, maxPointsToBufferBeforeSending)
} else {
maxPointsToBufferBeforeSending := 1000
log.Debug("creating a passthrough engine with limit\n")
processor = engine.NewPassthroughEngineWithLimit(response, maxPointsToBufferBeforeSending, query.Limit)
}
processor = engine.NewFilteringEngine(query, processor)
}
shard, err := self.store.GetOrCreateShard(self.id)
if err != nil {
response <- &p.Response{Type: &endStreamResponse, ErrorMessage: p.String(err.Error())}
log.Error("Error while getting shards: %s", err)
return
}
defer self.store.ReturnShard(self.id)
err = shard.Query(querySpec, processor)
processor.Close()
if err != nil {
response <- &p.Response{Type: &endStreamResponse, ErrorMessage: p.String(err.Error())}
}
response <- &p.Response{Type: &endStreamResponse}
return
}
healthyServers := make([]*ClusterServer, 0, len(self.clusterServers))
for _, s := range self.clusterServers {
if !s.IsUp() {
continue
}
healthyServers = append(healthyServers, s)
}
healthyCount := len(healthyServers)
if healthyCount == 0 {
message := fmt.Sprintf("No servers up to query shard %d", self.id)
response <- &p.Response{Type: &endStreamResponse, ErrorMessage: &message}
log.Error(message)
return
}
randServerIndex := int(time.Now().UnixNano() % int64(healthyCount))
server := healthyServers[randServerIndex]
request := self.createRequest(querySpec)
server.MakeRequest(request, response)
}
func (self *ShardData) logAndHandleDeleteQuery(querySpec *parser.QuerySpec, response chan *p.Response) {
queryString := querySpec.GetQueryStringWithTimeCondition()
request := self.createRequest(querySpec)
request.Query = &queryString
self.LogAndHandleDestructiveQuery(querySpec, request, response, false)
}
func (self *Shard) executeQueryForSeries(querySpec *parser.QuerySpec, seriesName string, columns []string, processor cluster.QueryProcessor) error {
startTimeBytes := self.byteArrayForTime(querySpec.GetStartTime())
endTimeBytes := self.byteArrayForTime(querySpec.GetEndTime())
fields, err := self.getFieldsForSeries(querySpec.Database(), seriesName, columns)
if err != nil {
// because a db is distributed across the cluster, it's possible we don't have the series indexed here. ignore
switch err := err.(type) {
case FieldLookupError:
log.Debug("Cannot find fields %v", columns)
return nil
default:
log.Error("Error looking up fields for %s: %s", seriesName, err)
return fmt.Errorf("Error looking up fields for %s: %s", seriesName, err)
}
}
fieldCount := len(fields)
rawColumnValues := make([]rawColumnValue, fieldCount, fieldCount)
query := querySpec.SelectQuery()
aliases := query.GetTableAliases(seriesName)
if querySpec.IsSinglePointQuery() {
series, err := self.fetchSinglePoint(querySpec, seriesName, fields)
if err != nil {
log.Error("Error reading a single point: %s", err)
return err
}
if len(series.Points) > 0 {
processor.YieldPoint(series.Name, series.Fields, series.Points[0])
}
return nil
}
fieldNames, iterators := self.getIterators(fields, startTimeBytes, endTimeBytes, query.Ascending)
defer func() {
for _, it := range iterators {
it.Close()
}
}()
seriesOutgoing := &protocol.Series{Name: protocol.String(seriesName), Fields: fieldNames, Points: make([]*protocol.Point, 0, self.pointBatchSize)}
// TODO: clean up, this is super gnarly
// optimize for the case where we're pulling back only a single column or aggregate
buffer := bytes.NewBuffer(nil)
valueBuffer := proto.NewBuffer(nil)
for {
isValid := false
point := &protocol.Point{Values: make([]*protocol.FieldValue, fieldCount, fieldCount)}
for i, it := range iterators {
if rawColumnValues[i].value != nil || !it.Valid() {
if err := it.Error(); err != nil {
return err
}
continue
}
key := it.Key()
if len(key) < 16 {
continue
}
if !isPointInRange(fields[i].Id, startTimeBytes, endTimeBytes, key) {
continue
}
value := it.Value()
sequenceNumber := key[16:]
rawTime := key[8:16]
rawColumnValues[i] = rawColumnValue{time: rawTime, sequence: sequenceNumber, value: value}
}
var pointTimeRaw []byte
var pointSequenceRaw []byte
// choose the highest (or lowest in case of ascending queries) timestamp
// and sequence number. that will become the timestamp and sequence of
// the next point.
for _, value := range rawColumnValues {
if value.value == nil {
continue
}
pointTimeRaw, pointSequenceRaw = value.updatePointTimeAndSequence(pointTimeRaw,
pointSequenceRaw, query.Ascending)
}
for i, iterator := range iterators {
// if the value is nil or doesn't match the point's timestamp and sequence number
// then skip it
if rawColumnValues[i].value == nil ||
!bytes.Equal(rawColumnValues[i].time, pointTimeRaw) ||
!bytes.Equal(rawColumnValues[i].sequence, pointSequenceRaw) {
point.Values[i] = &protocol.FieldValue{IsNull: &TRUE}
continue
}
// if we emitted at lease one column, then we should keep
// trying to get more points
isValid = true
// advance the iterator to read a new value in the next iteration
if query.Ascending {
iterator.Next()
} else {
iterator.Prev()
}
fv := &protocol.FieldValue{}
valueBuffer.SetBuf(rawColumnValues[i].value)
err := valueBuffer.Unmarshal(fv)
if err != nil {
log.Error("Error while running query: %s", err)
return err
}
point.Values[i] = fv
rawColumnValues[i].value = nil
}
var sequence uint64
var t uint64
// set the point sequence number and timestamp
buffer.Reset()
buffer.Write(pointSequenceRaw)
binary.Read(buffer, binary.BigEndian, &sequence)
buffer.Reset()
buffer.Write(pointTimeRaw)
binary.Read(buffer, binary.BigEndian, &t)
time := self.convertUintTimestampToInt64(&t)
point.SetTimestampInMicroseconds(time)
point.SequenceNumber = &sequence
// stop the loop if we ran out of points
if !isValid {
break
}
shouldContinue := true
seriesOutgoing.Points = append(seriesOutgoing.Points, point)
if len(seriesOutgoing.Points) >= self.pointBatchSize {
for _, alias := range aliases {
series := &protocol.Series{
Name: proto.String(alias),
Fields: fieldNames,
Points: seriesOutgoing.Points,
}
if !processor.YieldSeries(series) {
log.Info("Stopping processing")
shouldContinue = false
}
}
seriesOutgoing = &protocol.Series{Name: protocol.String(seriesName), Fields: fieldNames, Points: make([]*protocol.Point, 0, self.pointBatchSize)}
}
if !shouldContinue {
break
}
}
//Yield remaining data
for _, alias := range aliases {
log.Debug("Final Flush %s", alias)
series := &protocol.Series{Name: protocol.String(alias), Fields: seriesOutgoing.Fields, Points: seriesOutgoing.Points}
if !processor.YieldSeries(series) {
log.Debug("Cancelled...")
}
}
log.Debug("Finished running query %s", query.GetQueryString())
return nil
}
