Golang SelectStatement.FunctionCalls方法代码示例

// derivativeInterval returns the time interval for the one (and only) derivative func
func derivativeInterval(stmt *influxql.SelectStatement) (time.Duration, error) {
	if len(stmt.FunctionCalls()[0].Args) == 2 {
		return stmt.FunctionCalls()[0].Args[1].(*influxql.DurationLiteral).Val, nil
	}
	interval, err := stmt.GroupByInterval()
	if err != nil {
		return 0, err
	}
	if interval > 0 {
		return interval, nil
	}
	return time.Second, nil
}

func (s *Shard) ValidateAggregateFieldsInStatement(measurementName string, stmt *influxql.SelectStatement) error {
	s.mu.RLock()
	defer s.mu.RUnlock()

	validateType := func(aname, fname string, t influxql.DataType) error {
		if t != influxql.Float && t != influxql.Integer {
			return fmt.Errorf("aggregate '%s' requires numerical field values. Field '%s' is of type %s",
				aname, fname, t)
		}
		return nil
	}

	m := s.measurementFields[measurementName]
	if m == nil {
		return fmt.Errorf("measurement not found: %s", measurementName)
	}

	// If a numerical aggregate is requested, ensure it is only performed on numeric data or on a
	// nested aggregate on numeric data.
	for _, a := range stmt.FunctionCalls() {
		// Check for fields like `derivative(mean(value), 1d)`
		var nested *influxql.Call = a
		if fn, ok := nested.Args[0].(*influxql.Call); ok {
			nested = fn
		}

		switch lit := nested.Args[0].(type) {
		case *influxql.VarRef:
			if influxql.IsNumeric(nested) {
				f := m.Fields[lit.Val]
				if err := validateType(a.Name, f.Name, f.Type); err != nil {
					return err
				}
			}
		case *influxql.Distinct:
			if nested.Name != "count" {
				return fmt.Errorf("aggregate call didn't contain a field %s", a.String())
			}
			if influxql.IsNumeric(nested) {
				f := m.Fields[lit.Val]
				if err := validateType(a.Name, f.Name, f.Type); err != nil {
					return err
				}
			}
		default:
			return fmt.Errorf("aggregate call didn't contain a field %s", a.String())
		}
	}

	return nil
}

// CreateMappers will create a set of mappers that need to be run to execute the map phase of a MapReduceJob.
func (tx *tx) CreateMapReduceJobs(stmt *influxql.SelectStatement, tagKeys []string) ([]*influxql.MapReduceJob, error) {
	jobs := []*influxql.MapReduceJob{}
	for _, src := range stmt.Sources {
		mm, ok := src.(*influxql.Measurement)
		if !ok {
			return nil, fmt.Errorf("invalid source type: %#v", src)
		}

		// get the index and the retention policy
		rp, err := tx.meta.RetentionPolicy(mm.Database, mm.RetentionPolicy)
		if err != nil {
			return nil, err
		}
		m := tx.store.Measurement(mm.Database, mm.Name)
		if m == nil {
			return nil, ErrMeasurementNotFound(influxql.QuoteIdent([]string{mm.Database, "", mm.Name}...))
		}

		tx.measurement = m

		// Validate the fields and tags asked for exist and keep track of which are in the select vs the where
		var selectFields []string
		var whereFields []string
		var selectTags []string

		for _, n := range stmt.NamesInSelect() {
			if m.HasField(n) {
				selectFields = append(selectFields, n)
				continue
			}
			if !m.HasTagKey(n) {
				return nil, fmt.Errorf("unknown field or tag name in select clause: %s", n)
			}
			selectTags = append(selectTags, n)
			tagKeys = append(tagKeys, n)
		}
		for _, n := range stmt.NamesInWhere() {
			if n == "time" {
				continue
			}
			if m.HasField(n) {
				whereFields = append(whereFields, n)
				continue
			}
			if !m.HasTagKey(n) {
				return nil, fmt.Errorf("unknown field or tag name in where clause: %s", n)
			}
		}

		if len(selectFields) == 0 && len(stmt.FunctionCalls()) == 0 {
			return nil, fmt.Errorf("select statement must include at least one field or function call")
		}

		// Validate that group by is not a field
		for _, d := range stmt.Dimensions {
			switch e := d.Expr.(type) {
			case *influxql.VarRef:
				if !m.HasTagKey(e.Val) {
					return nil, fmt.Errorf("can not use field in group by clause: %s", e.Val)
				}
			}
		}

		// Grab time range from statement.
		tmin, tmax := influxql.TimeRange(stmt.Condition)
		if tmax.IsZero() {
			tmax = tx.now
		}
		if tmin.IsZero() {
			tmin = time.Unix(0, 0)
		}

		// Find shard groups within time range.
		var shardGroups []*meta.ShardGroupInfo
		for _, group := range rp.ShardGroups {
			if group.Overlaps(tmin, tmax) {
				g := group
				shardGroups = append(shardGroups, &g)
			}
		}
		if len(shardGroups) == 0 {
			return nil, nil
		}

		// get the group by interval, if there is one
		var interval int64
		if d, err := stmt.GroupByInterval(); err != nil {
			return nil, err
		} else {
			interval = d.Nanoseconds()
		}

		// get the sorted unique tag sets for this query.
		tagSets, err := m.TagSets(stmt, tagKeys)
		if err != nil {
			return nil, err
		}

		for _, t := range tagSets {
//.........这里部分代码省略.........