featurebase/server/grpc_internal_test.go
Matt Jaffee 7321f9427c
min and max should properly scale their output for decimal fields
this involved adding an optional float value to the ValCount struct
which complicated result types, necessitated grpc changes, and needed
quite a few tests at different layers.
2020-02-21 14:11:29 -06:00

293 lines
6.5 KiB
Go

// Copyright 2017 Pilosa Corp.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package server
import (
"testing"
"github.com/pilosa/pilosa/v2"
"github.com/pilosa/pilosa/v2/logger"
)
func TestGRPC(t *testing.T) {
t.Run("makeRows", func(t *testing.T) {
type expHeader struct {
name string
dataType string
}
type expColumn interface{}
tests := []struct {
result interface{}
expHeaders []expHeader
expColumns [][]expColumn
}{
{
pilosa.ValCount{Val: 1, Count: 1},
[]expHeader{{"value", "int64"}, {"count", "int64"}},
[][]expColumn{{int64(1), int64(1)}},
},
{
pilosa.ValCount{FloatVal: 1.24, Count: 1},
[]expHeader{{"value", "float64"}, {"count", "int64"}},
[][]expColumn{{float64(1.24), int64(1)}},
},
// Row (uint64)
{
pilosa.NewRow(10, 11, 12),
[]expHeader{
{"_id", "uint64"},
},
[][]expColumn{
{uint64(10)},
{uint64(11)},
{uint64(12)},
},
},
// Row (string)
{
&pilosa.Row{Keys: []string{"ten", "eleven", "twelve"}},
[]expHeader{
{"_id", "string"},
},
[][]expColumn{
{"ten"},
{"eleven"},
{"twelve"},
},
},
// Pair (uint64)
{
pilosa.Pair{ID: 10, Count: 123},
[]expHeader{
{"_id", "uint64"},
{"count", "uint64"},
},
[][]expColumn{
{uint64(10), uint64(123)},
},
},
// Pair (string)
{
pilosa.Pair{Key: "ten", Count: 123},
[]expHeader{
{"_id", "string"},
{"count", "uint64"},
},
[][]expColumn{
{string("ten"), uint64(123)},
},
},
// []Pair (uint64)
{
[]pilosa.Pair{
{ID: 10, Count: 123},
{ID: 11, Count: 456},
},
[]expHeader{
{"_id", "uint64"},
{"count", "uint64"},
},
[][]expColumn{
{uint64(10), uint64(123)},
{uint64(11), uint64(456)},
},
},
// []Pair (string)
{
[]pilosa.Pair{
{Key: "ten", Count: 123},
{Key: "eleven", Count: 456},
},
[]expHeader{
{"_id", "string"},
{"count", "uint64"},
},
[][]expColumn{
{"ten", uint64(123)},
{"eleven", uint64(456)},
},
},
// []GroupCount (uint64)
{
[]pilosa.GroupCount{
pilosa.GroupCount{
Group: []pilosa.FieldRow{
{Field: "a", RowID: 10},
{Field: "b", RowID: 11},
},
Count: 123,
},
pilosa.GroupCount{
Group: []pilosa.FieldRow{
{Field: "a", RowID: 10},
{Field: "b", RowID: 12},
},
Count: 456,
},
},
[]expHeader{
{"a", "uint64"},
{"b", "uint64"},
{"count", "uint64"},
{"sum", "int64"},
},
[][]expColumn{
{uint64(10), uint64(11), uint64(123), int64(0)},
{uint64(10), uint64(12), uint64(456), int64(0)},
},
},
// []GroupCount (string)
{
[]pilosa.GroupCount{
pilosa.GroupCount{
Group: []pilosa.FieldRow{
{Field: "a", RowKey: "ten"},
{Field: "b", RowKey: "eleven"},
},
Count: 123,
},
{
Group: []pilosa.FieldRow{
{Field: "a", RowKey: "ten"},
{Field: "b", RowKey: "twelve"},
},
Count: 456,
},
},
[]expHeader{
{"a", "string"},
{"b", "string"},
{"count", "uint64"},
{"sum", "int64"},
},
[][]expColumn{
{"ten", "eleven", uint64(123), int64(0)},
{"ten", "twelve", uint64(456), int64(0)},
},
},
// RowIdentifiers (uint64)
{
pilosa.RowIdentifiers{
Rows: []uint64{10, 11, 12},
},
[]expHeader{
{"", "uint64"}, // This is blank because we don't expose RowIdentifiers.field, so we have no way to set it for tests.
},
[][]expColumn{
{uint64(10)},
{uint64(11)},
{uint64(12)},
},
},
// RowIdentifiers (string)
{
pilosa.RowIdentifiers{
Keys: []string{"ten", "eleven", "twelve"},
},
[]expHeader{
{"", "string"}, // This is blank because we don't expose RowIdentifiers.field, so we have no way to set it for tests.
},
[][]expColumn{
{"ten"},
{"eleven"},
{"twelve"},
},
},
// uint64
{
uint64(123),
[]expHeader{
{"count", "uint64"},
},
[][]expColumn{
{uint64(123)},
},
},
// bool
{
true,
[]expHeader{
{"result", "bool"},
},
[][]expColumn{
{true},
},
},
}
logger := logger.NopLogger
for ti, test := range tests {
results := make([]interface{}, 0)
results = append(results, test.result)
qr := pilosa.QueryResponse{}
qr.Results = results
ch := makeRows(qr, logger)
cnt := 0
for row := range ch {
// Ensure headers match (on the first row).
if cnt == 0 {
for i, header := range row.GetHeaders() {
if header.Name != test.expHeaders[i].name {
t.Fatalf("test %d expected header name: %s, but got: %s", ti, test.expHeaders[i].name, header.Name)
}
if header.Datatype != test.expHeaders[i].dataType {
t.Fatalf("test %d expected header data type: %s, but got: %s", ti, test.expHeaders[i].dataType, header.Datatype)
}
}
}
// Ensure column data matches.
for i, column := range row.GetColumns() {
switch v := test.expColumns[cnt][i].(type) {
case string:
val := column.GetStringVal()
if val != v {
t.Fatalf("test %d expected column val: %v, but got: %v", ti, v, val)
}
case uint64:
val := column.GetUint64Val()
if val != v {
t.Fatalf("test %d expected column val: %v, but got: %v", ti, v, val)
}
case bool:
val := column.GetBoolVal()
if val != v {
t.Fatalf("test %d expected column val: %v, but got: %v", ti, v, val)
}
case int64:
val := column.GetInt64Val()
if val != v {
t.Fatalf("test %d expected column val: %v but got: %v", ti, v, val)
}
case float64:
val := column.GetFloat64Val()
if val != v {
t.Fatalf("test %d expected column val: %v but got: %v", ti, v, val)
}
default:
t.Fatalf("test %d has unhandled data type: %T", ti, v)
}
}
cnt++
}
}
})
}