[Postgres] Add order set aggregate functions support.
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4 changed files with 135 additions and 1 deletions
60
internal/jet/order_set_aggregate_functions.go
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60
internal/jet/order_set_aggregate_functions.go
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@ -0,0 +1,60 @@
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package jet
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// MODE computes the most frequent value of the aggregated argument
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func MODE() *OrderSetAggregateFunc {
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return newOrderSetAggregateFunction("MODE", nil)
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}
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// PERCENTILE_CONT computes a value corresponding to the specified fraction within the ordered set of
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// aggregated argument values. This will interpolate between adjacent input items if needed.
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func PERCENTILE_CONT(fraction FloatExpression) *OrderSetAggregateFunc {
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return newOrderSetAggregateFunction("PERCENTILE_CONT", fraction)
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}
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// PERCENTILE_DISC computes the first value within the ordered set of aggregated argument values whose position
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// in the ordering equals or exceeds the specified fraction. The aggregated argument must be of a sortable type.
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func PERCENTILE_DISC(fraction FloatExpression) *OrderSetAggregateFunc {
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return newOrderSetAggregateFunction("PERCENTILE_DISC", fraction)
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}
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// OrderSetAggregateFunc implementation of order set aggregate function
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type OrderSetAggregateFunc struct {
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name string
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fraction FloatExpression
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orderBy Window
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}
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func newOrderSetAggregateFunction(name string, fraction FloatExpression) *OrderSetAggregateFunc {
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return &OrderSetAggregateFunc{
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name: name,
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fraction: fraction,
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}
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}
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// WITHIN_GROUP_ORDER_BY specifies ordered set of aggregated argument values
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func (p *OrderSetAggregateFunc) WITHIN_GROUP_ORDER_BY(orderBy OrderByClause) Expression {
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p.orderBy = ORDER_BY(orderBy)
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return newOrderSetAggregateFuncExpression(*p)
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}
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func newOrderSetAggregateFuncExpression(aggFunc OrderSetAggregateFunc) *orderSetAggregateFuncExpression {
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ret := &orderSetAggregateFuncExpression{
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OrderSetAggregateFunc: aggFunc,
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}
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ret.ExpressionInterfaceImpl.Parent = ret
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return ret
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}
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type orderSetAggregateFuncExpression struct {
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ExpressionInterfaceImpl
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OrderSetAggregateFunc
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}
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func (p *orderSetAggregateFuncExpression) serialize(statement StatementType, out *SQLBuilder, options ...SerializeOption) {
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out.WriteString(p.name)
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WRAP(p.fraction).serialize(statement, out, FallTrough(options)...)
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out.WriteString("WITHIN GROUP")
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p.orderBy.serialize(statement, out)
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}
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@ -34,7 +34,9 @@ func serializeExpressionList(
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out.WriteString(separator)
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}
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expression.serialize(statement, out, options...)
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if expression != nil {
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expression.serialize(statement, out, options...)
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}
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}
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}
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@ -336,3 +336,25 @@ func explicitLiteralCast(expresion Expression) jet.Expression {
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return expresion
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}
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// MODE computes the most frequent value of the aggregated argument
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var MODE = jet.MODE
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// PERCENTILE_CONT computes a value corresponding to the specified fraction within the ordered set of
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// aggregated argument values. This will interpolate between adjacent input items if needed.
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func PERCENTILE_CONT(fraction FloatExpression) *jet.OrderSetAggregateFunc {
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return jet.PERCENTILE_CONT(castFloatLiteral(fraction))
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}
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// PERCENTILE_DISC computes the first value within the ordered set of aggregated argument values whose position
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// in the ordering equals or exceeds the specified fraction. The aggregated argument must be of a sortable type.
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func PERCENTILE_DISC(fraction FloatExpression) *jet.OrderSetAggregateFunc {
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return jet.PERCENTILE_DISC(castFloatLiteral(fraction))
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}
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func castFloatLiteral(fraction FloatExpression) FloatExpression {
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if _, ok := fraction.(jet.LiteralExpression); ok {
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return CAST(fraction).AS_DOUBLE() // to make postgres aware of the type
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}
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return fraction
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}
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@ -743,3 +743,53 @@ var album347 = model.Album{
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Title: "Koyaanisqatsi (Soundtrack from the Motion Picture)",
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ArtistId: 275,
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}
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func TestAggregateFunc(t *testing.T) {
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stmt := SELECT(
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PERCENTILE_DISC(Float(0.1)).WITHIN_GROUP_ORDER_BY(Invoice.InvoiceId).AS("percentile_disc_1"),
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PERCENTILE_DISC(Invoice.Total.DIV(Float(100))).WITHIN_GROUP_ORDER_BY(Invoice.InvoiceDate.ASC()).AS("percentile_disc_2"),
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PERCENTILE_DISC(RawFloat("(select array_agg(s) from generate_series(0, 1, 0.2) as s)")).
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WITHIN_GROUP_ORDER_BY(Invoice.BillingAddress.DESC()).AS("percentile_disc_3"),
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PERCENTILE_CONT(Float(0.3)).WITHIN_GROUP_ORDER_BY(Invoice.Total).AS("percentile_cont_1"),
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PERCENTILE_CONT(Float(0.2)).WITHIN_GROUP_ORDER_BY(INTERVAL(1, HOUR).DESC()).AS("percentile_cont_int"),
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MODE().WITHIN_GROUP_ORDER_BY(Invoice.BillingPostalCode.DESC()).AS("mode_1"),
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).FROM(
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Invoice,
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).GROUP_BY(
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Invoice.Total,
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)
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testutils.AssertStatementSql(t, stmt, `
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SELECT PERCENTILE_DISC ($1::double precision) WITHIN GROUP (ORDER BY "Invoice"."InvoiceId") AS "percentile_disc_1",
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PERCENTILE_DISC ("Invoice"."Total" / $2) WITHIN GROUP (ORDER BY "Invoice"."InvoiceDate" ASC) AS "percentile_disc_2",
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PERCENTILE_DISC ((select array_agg(s) from generate_series(0, 1, 0.2) as s)) WITHIN GROUP (ORDER BY "Invoice"."BillingAddress" DESC) AS "percentile_disc_3",
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PERCENTILE_CONT ($3::double precision) WITHIN GROUP (ORDER BY "Invoice"."Total") AS "percentile_cont_1",
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PERCENTILE_CONT ($4::double precision) WITHIN GROUP (ORDER BY INTERVAL '1 HOUR' DESC) AS "percentile_cont_int",
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MODE () WITHIN GROUP (ORDER BY "Invoice"."BillingPostalCode" DESC) AS "mode_1"
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FROM chinook."Invoice"
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GROUP BY "Invoice"."Total";
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`, 0.1, 100.0, 0.3, 0.2)
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var dest struct {
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PercentileDisc1 string
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PercentileDisc2 string
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PercentileDisc3 string
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PercentileCont1 string
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Mode1 string
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}
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err := stmt.Query(db, &dest)
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require.NoError(t, err)
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testutils.AssertJSON(t, dest, `
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{
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"PercentileDisc1": "41",
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"PercentileDisc2": "2009-01-19T00:00:00Z",
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"PercentileDisc3": "{\"Via Degli Scipioni, 43\",\"Qe 7 Bloco G\",\"Berger Stra<72>e 10\",\"696 Osborne Street\",\"2211 W Berry Street\",\"1033 N Park Ave\"}",
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"PercentileCont1": "0.99",
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"Mode1": "X1A 1N6"
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}
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`)
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}
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