Example #1
0
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
}
Example #2
0
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
}