mirror of
https://github.com/featurebasedb/featurebase.git
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74ee3ebf0e
* implemented distinct
* implemented distinct
* uses first cut of a buffer pool, and extendible hashing with thresholded spill to disk
* tests
* cleaned up some stuff around query plan output to make developing tooling easier
* added optimization to call PQL Distinct()
* fixed test
* fix for passing wrong index name in orchestrator
* back out change to DistinctTimestamp
* fix other instance of wrong table name being passed
* use full index name instead of abbreviated one for translation. sigh.
* removed some unused code
Co-authored-by: Matthew Jaffee <jaffee@pilosa.com>
(cherry picked from commit f030d58d95)
111 lines
2.6 KiB
Go
111 lines
2.6 KiB
Go
// Copyright 2022 Molecula Corp. All rights reserved.
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package planner
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import (
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"context"
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"fmt"
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"github.com/featurebasedb/featurebase/v3/sql3/planner/types"
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)
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// PlanOpPQLMultiAggregate plan operator handles executing multiple 'sibling' pql aggregate queries
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type PlanOpPQLMultiAggregate struct {
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planner *ExecutionPlanner
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operators []*PlanOpPQLAggregate
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warnings []string
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}
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func NewPlanOpPQLMultiAggregate(p *ExecutionPlanner, operators []*PlanOpPQLAggregate) *PlanOpPQLMultiAggregate {
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return &PlanOpPQLMultiAggregate{
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planner: p,
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operators: operators,
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warnings: make([]string, 0),
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}
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}
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func (p *PlanOpPQLMultiAggregate) Plan() map[string]interface{} {
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result := make(map[string]interface{})
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result["_op"] = fmt.Sprintf("%T", p)
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result["_schema"] = p.Schema().Plan()
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ps := make([]interface{}, 0)
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for _, e := range p.operators {
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ps = append(ps, e.Plan())
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}
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result["operators"] = ps
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return result
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}
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func (p *PlanOpPQLMultiAggregate) String() string {
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return ""
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}
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func (p *PlanOpPQLMultiAggregate) AddWarning(warning string) {
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p.warnings = append(p.warnings, warning)
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}
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func (p *PlanOpPQLMultiAggregate) Warnings() []string {
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return p.warnings
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}
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func (p *PlanOpPQLMultiAggregate) Schema() types.Schema {
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result := make(types.Schema, len(p.operators))
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for idx, aggOp := range p.operators {
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s := &types.PlannerColumn{
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ColumnName: aggOp.aggregate.String(),
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RelationName: "",
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Type: aggOp.aggregate.Type(),
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}
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result[idx] = s
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}
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return result
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}
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func (p *PlanOpPQLMultiAggregate) Children() []types.PlanOperator {
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return []types.PlanOperator{}
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}
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func (p *PlanOpPQLMultiAggregate) Iterator(ctx context.Context, row types.Row) (types.RowIterator, error) {
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iterators := make([]types.RowIterator, 0)
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for _, op := range p.operators {
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iter, err := op.Iterator(ctx, row)
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if err != nil {
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return nil, err
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}
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iterators = append(iterators, iter)
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}
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return &pqlMultiAggregateRowIter{
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planner: p.planner,
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iterators: iterators,
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}, nil
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}
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func (p *PlanOpPQLMultiAggregate) WithChildren(children ...types.PlanOperator) (types.PlanOperator, error) {
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return nil, nil
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}
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type pqlMultiAggregateRowIter struct {
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planner *ExecutionPlanner
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iterators []types.RowIterator
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doneLatch bool
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}
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var _ types.RowIterator = (*pqlMultiAggregateRowIter)(nil)
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func (i *pqlMultiAggregateRowIter) Next(ctx context.Context) (types.Row, error) {
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if !i.doneLatch {
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var row = make(types.Row, len(i.iterators))
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for idx, iter := range i.iterators {
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irow, err := iter.Next(ctx)
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if err != nil {
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return nil, err
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}
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row[idx] = irow[0]
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}
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i.doneLatch = true
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return row, nil
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}
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return nil, types.ErrNoMoreRows
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}
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