Golang influxql.SelectStatement类代码示例

// Plan creates an execution plan for the given SelectStatement and returns an Executor.
func (q *QueryExecutor) plan(stmt *influxql.SelectStatement, chunkSize int) (Executor, error) {
	shards := map[uint64]meta.ShardInfo{} // Shards requiring mappers.

	// Replace instances of "now()" with the current time, and check the resultant times.
	stmt.Condition = influxql.Reduce(stmt.Condition, &influxql.NowValuer{Now: time.Now().UTC()})
	tmin, tmax := influxql.TimeRange(stmt.Condition)
	if tmax.IsZero() {
		tmax = time.Now()
	}
	if tmin.IsZero() {
		tmin = time.Unix(0, 0)
	}

	for _, src := range stmt.Sources {
		mm, ok := src.(*influxql.Measurement)
		if !ok {
			return nil, fmt.Errorf("invalid source type: %#v", src)
		}

		// Build the set of target shards. Using shard IDs as keys ensures each shard ID
		// occurs only once.
		shardGroups, err := q.MetaStore.ShardGroupsByTimeRange(mm.Database, mm.RetentionPolicy, tmin, tmax)
		if err != nil {
			return nil, err
		}
		for _, g := range shardGroups {
			for _, sh := range g.Shards {
				shards[sh.ID] = sh
			}
		}
	}

	// Build the Mappers, one per shard.
	mappers := []Mapper{}
	for _, sh := range shards {
		m, err := q.ShardMapper.CreateMapper(sh, stmt.String(), chunkSize)
		if err != nil {
			return nil, err
		}
		if m == nil {
			// No data for this shard, skip it.
			continue
		}
		mappers = append(mappers, m)
	}

	var executor Executor
	if len(mappers) > 0 {
		// All Mapper are of same type, so check first to determine correct Executor type.
		if _, ok := mappers[0].(*RawMapper); ok {
			executor = NewRawExecutor(stmt, mappers, chunkSize)
		} else {
			executor = NewAggregateExecutor(stmt, mappers)
		}
	} else {
		// With no mappers, the Executor type doesn't matter.
		executor = NewRawExecutor(stmt, nil, chunkSize)
	}
	return executor, nil
}

// expandWildcards returns a new SelectStatement with wildcards in the fields
// and/or GROUP BY expanded with actual field names.
func (q *QueryExecutor) expandWildcards(stmt *influxql.SelectStatement) (*influxql.SelectStatement, error) {
	// If there are no wildcards in the statement, return it as-is.
	if !stmt.HasWildcard() {
		return stmt, nil
	}

	// Use sets to avoid duplicate field names.
	fieldSet := map[string]struct{}{}
	dimensionSet := map[string]struct{}{}

	var fields influxql.Fields
	var dimensions influxql.Dimensions

	// Iterate measurements in the FROM clause getting the fields & dimensions for each.
	for _, src := range stmt.Sources {
		if m, ok := src.(*influxql.Measurement); ok {
			// Lookup the database. The database may not exist if no data for this database
			// was ever written to the shard.
			db := q.store.DatabaseIndex(m.Database)
			if db == nil {
				return stmt, nil
			}

			// Lookup the measurement in the database.
			mm := db.measurements[m.Name]
			if mm == nil {
				return nil, ErrMeasurementNotFound(m.String())
			}

			// Get the fields for this measurement.
			for _, name := range mm.FieldNames() {
				if _, ok := fieldSet[name]; ok {
					continue
				}
				fieldSet[name] = struct{}{}
				fields = append(fields, &influxql.Field{Expr: &influxql.VarRef{Val: name}})
			}

			// Get the dimensions for this measurement.
			for _, t := range mm.TagKeys() {
				if _, ok := dimensionSet[t]; ok {
					continue
				}
				dimensionSet[t] = struct{}{}
				dimensions = append(dimensions, &influxql.Dimension{Expr: &influxql.VarRef{Val: t}})
			}
		}
	}

	// Return a new SelectStatement with the wild cards rewritten.
	return stmt.RewriteWildcards(fields, dimensions), 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
}

// createTagSetsAndFields returns the tagsets and various fields given a measurement and
// SELECT statement. It also ensures that the fields and tags exist.
func createTagSetsAndFields(m *Measurement, stmt *influxql.SelectStatement) (*tagSetsAndFields, error) {
	_, tagKeys, err := stmt.Dimensions.Normalize()
	if err != nil {
		return nil, err
	}

	sfs := newStringSet()
	sts := newStringSet()
	wfs := newStringSet()

	// Validate the fields and tags asked for exist and keep track of which are in the select vs the where
	for _, n := range stmt.NamesInSelect() {
		if m.HasField(n) {
			sfs.add(n)
			continue
		}
		if !m.HasTagKey(n) {
			return nil, fmt.Errorf("unknown field or tag name in select clause: %s", n)
		}
		sts.add(n)
		tagKeys = append(tagKeys, n)
	}
	for _, n := range stmt.NamesInWhere() {
		if n == "time" {
			continue
		}
		if m.HasField(n) {
			wfs.add(n)
			continue
		}
		if !m.HasTagKey(n) {
			return nil, fmt.Errorf("unknown field or tag name in where clause: %s", n)
		}
	}

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

	return &tagSetsAndFields{
		tagSets:      tagSets,
		selectFields: sfs.list(),
		selectTags:   sts.list(),
		whereFields:  wfs.list(),
	}, nil
}

// rewriteSelectStatement performs any necessary query re-writing.
func (q *QueryExecutor) rewriteSelectStatement(stmt *influxql.SelectStatement) (*influxql.SelectStatement, error) {
	var err error

	// Expand regex expressions in the FROM clause.
	sources, err := q.expandSources(stmt.Sources)
	if err != nil {
		return nil, err
	}
	stmt.Sources = sources

	// Expand wildcards in the fields or GROUP BY.
	if stmt.HasWildcard() {
		stmt, err = q.expandWildcards(stmt)
		if err != nil {
			return nil, err
		}
	}

	stmt.RewriteDistinct()

	return stmt, nil
}

// 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(stmt *influxql.SelectStatement) (map[uint64]influxql.Expr, error) {
	if stmt.Condition == nil || stmt.OnlyTimeDimensions() {
		seriesIdsToExpr := make(map[uint64]influxql.Expr)
		for _, id := range m.seriesIDs {
			seriesIdsToExpr[id] = nil
		}
		return seriesIdsToExpr, nil
	}

	ids, seriesIdsToExpr, err := m.walkWhereForSeriesIds(stmt.Condition)
	if err != nil {
		return nil, err
	}
	// Ensure every id is in the map and replace literal true expressions with
	// nil so the engine doesn't waste time evaluating them.
	for _, id := range ids {
		if expr, ok := seriesIdsToExpr[id]; !ok {
			seriesIdsToExpr[id] = nil
		} else if b, ok := expr.(*influxql.BooleanLiteral); ok && b.Val {
			seriesIdsToExpr[id] = nil
		}
	}
	return seriesIdsToExpr, nil
}

// 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
}