package influxql import ( "encoding/json" "errors" "fmt" "io" "strconv" "time" "github.com/influxdata/platform/query" ) // MultiResultEncoder encodes results as InfluxQL JSON format. type MultiResultEncoder struct{} // Encode writes a collection of results to the influxdb 1.X http response format. // Expectations/Assumptions: // 1. Each result will be published as a 'statement' in the top-level list of results. The result name // will be interpreted as an integer and used as the statement id. // 2. If the _measurement name is present in the partition key, it will be used as the result name instead // of as a normal tag. // 3. All columns in the partition key must be strings and they will be used as tags. There is no current way // to have a tag and field be the same name in the results. // TODO(jsternberg): For full compatibility, the above must be possible. // 4. All other columns are fields and will be output in the order they are found. // TODO(jsternberg): This function currently requires the first column to be a time field, but this isn't // a strict requirement and will be lifted when we begin to work on transpiling meta queries. func (e *MultiResultEncoder) Encode(w io.Writer, results query.ResultIterator) error { resp := Response{} for results.More() { r := results.Next() name := r.Name() id, err := strconv.Atoi(name) if err != nil { resp.error(fmt.Errorf("unable to parse statement id from result name: %s", err)) results.Cancel() break } blocks := r.Blocks() result := Result{StatementID: id} if err := blocks.Do(func(b query.Block) error { var r Row for j, c := range b.Key().Cols() { if c.Type != query.TString { return fmt.Errorf("partition column %q is not a string type", c.Label) } v := b.Key().Value(j).Str() if c.Label == "_measurement" { r.Name = v } else { if r.Tags == nil { r.Tags = make(map[string]string) } r.Tags[c.Label] = v } } for _, c := range b.Cols() { if c.Label == "time" { r.Columns = append(r.Columns, "time") } else if !b.Key().HasCol(c.Label) { r.Columns = append(r.Columns, c.Label) } } if err := b.Do(func(cr query.ColReader) error { var values [][]interface{} j := 0 for idx, c := range b.Cols() { if cr.Key().HasCol(c.Label) { continue } // Use the first column, usually time, to pre-generate all of the value containers. if j == 0 { switch c.Type { case query.TTime: values = make([][]interface{}, len(cr.Times(0))) default: // TODO(jsternberg): Support using other columns. This will // mostly be necessary for meta queries. return errors.New("first column must be time") } for j := range values { values[j] = make([]interface{}, len(r.Columns)) } } // Fill in the values for each column. switch c.Type { case query.TFloat: for i, v := range cr.Floats(idx) { values[i][j] = v } case query.TInt: for i, v := range cr.Ints(idx) { values[i][j] = v } case query.TString: for i, v := range cr.Strings(idx) { values[i][j] = v } case query.TUInt: for i, v := range cr.UInts(idx) { values[i][j] = v } case query.TBool: for i, v := range cr.Bools(idx) { values[i][j] = v } case query.TTime: for i, v := range cr.Times(idx) { values[i][j] = v.Time().Format(time.RFC3339) } default: return fmt.Errorf("unsupported column type: %s", c.Type) } j++ } r.Values = append(r.Values, values...) return nil }); err != nil { return err } result.Series = append(result.Series, &r) return nil }); err != nil { resp.error(err) results.Cancel() break } resp.Results = append(resp.Results, result) } if err := results.Err(); err != nil && resp.Err == "" { resp.error(err) } return json.NewEncoder(w).Encode(resp) } func NewMultiResultEncoder() *MultiResultEncoder { return new(MultiResultEncoder) }