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group_by_test.go
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package tuna
import (
"fmt"
"strings"
"testing"
)
func TestGroupBy(t *testing.T) {
AggTestCases{
{
stream: NewStream(
Row{"key": "a", "flux": "1.0"},
Row{"key": "a", "flux": "2.0"},
Row{"key": "a", "flux": "3.0"},
Row{"key": "b", "flux": "-1.0"},
Row{"key": "b", "flux": "-2.0"},
Row{"key": "b", "flux": "-3.0"},
),
agg: NewGroupBy("key", func() Agg { return NewExtractor("flux", NewMean()) }),
output: "flux_mean,key\n2,a\n-2,b\n",
},
{
stream: NewStream(
Row{"key": "b", "flux": "-1.0"},
Row{"key": "b", "flux": "-2.0"},
Row{"key": "b", "flux": "-3.0"},
Row{"key": "a", "flux": "1.0"},
Row{"key": "a", "flux": "2.0"},
Row{"key": "a", "flux": "3.0"},
),
agg: NewGroupBy("key", func() Agg { return NewExtractor("flux", NewMean()) }),
output: "flux_mean,key\n2,a\n-2,b\n",
},
{
stream: NewStream(
Row{"key": "a", "flux": "1.0"},
Row{"key": "b", "flux": "-1.0"},
Row{"key": "a", "flux": "3.0"},
Row{"key": "b", "flux": "-2.0"},
Row{"key": "b", "flux": "-3.0"},
Row{"key": "a", "flux": "2.0"},
),
agg: NewGroupBy("key", func() Agg { return NewExtractor("flux", NewMean()) }),
output: "flux_mean,key\n2,a\n-2,b\n",
},
{
stream: NewStream(
Row{"key": "a", "flux": "1.0"},
Row{"key": "a", "flux": "2.0"},
Row{"key": "a", "flux": "4.0"},
Row{"key": "b", "flux": "-1.0"},
Row{"key": "b", "flux": "-2.0"},
Row{"key": "b", "flux": "0.0"},
),
agg: NewGroupBy(
"key",
func() Agg { return NewExtractor("flux", NewDiff(NewMean())) },
),
output: "flux_diff_mean,key\n1.5,a\n0.5,b\n",
},
{
stream: NewStream(
Row{"key": "a", "flux": "1.0"},
Row{"key": "a", "flux": "2.0"},
Row{"key": "a", "flux": "4.0"},
Row{"key": "b", "flux": "-1.0"},
Row{"key": "b", "flux": "-2.0"},
Row{"key": "b", "flux": "0.0"},
),
agg: NewGroupBy(
"key",
func() Agg { return NewExtractor("flux", NewDiff(Metrics{NewMean(), NewSum()})) },
),
output: "flux_diff_mean,flux_diff_sum,key\n1.5,3,a\n0.5,1,b\n",
},
{
stream: NewStream(
Row{"key": "a", "flux": "1.0"},
Row{"key": "a", "flux": "2.0"},
Row{"key": "a", "flux": "4.0"},
Row{"key": "b", "flux": "-1.0"},
Row{"key": "b", "flux": "-2.0"},
Row{"key": "b", "flux": "0.0"},
),
agg: NewGroupBy(
"keyy",
func() Agg { return NewExtractor("flux", NewDiff(NewMean())) },
),
isErr: true,
},
{
stream: NewStream(
Row{"key": "a", "flux": "1.0"},
Row{"key": "a", "flux": "2.0"},
Row{"key": "a", "flux": "4.0"},
Row{"key": "b", "flux": "-1.0"},
Row{"key": "b", "flux": "-2.0"},
Row{"key": "b", "flux": "0.0"},
),
agg: NewGroupBy(
"key",
func() Agg { return NewExtractor("fluxx", NewDiff(Metrics{NewMean(), NewSum()})) },
),
isErr: true,
},
}.Run(t)
}
// For SequentialGroupBy we can't use the typical testing boilerplate because
// the output sink has to be provided to NewSequentialGroupBy.
func TestSequentialGroupBy(t *testing.T) {
var testCases = []struct {
stream Stream
key string
newAgg func() Agg
isErr bool
output string
size uint
}{
{
stream: NewStream(
Row{"key": "a", "flux": "1.0"},
Row{"key": "a", "flux": "2.0"},
Row{"key": "a", "flux": "3.0"},
Row{"key": "b", "flux": "-1.0"},
Row{"key": "b", "flux": "-2.0"},
Row{"key": "b", "flux": "-3.0"},
),
key: "key",
newAgg: func() Agg { return NewExtractor("flux", NewMean()) },
output: "flux_mean,key\n2,a\n-2,b\n",
},
{
stream: NewStream(
Row{"key": "b", "flux": "-1.0"},
Row{"key": "b", "flux": "-2.0"},
Row{"key": "b", "flux": "-3.0"},
Row{"key": "a", "flux": "1.0"},
Row{"key": "a", "flux": "2.0"},
Row{"key": "a", "flux": "3.0"},
),
key: "key",
newAgg: func() Agg { return NewExtractor("flux", NewMean()) },
output: "flux_mean,key\n-2,b\n2,a\n",
},
{
stream: NewStream(
Row{"key": "b", "flux": "-1.0"},
Row{"key": "b", "flux": "-2.0"},
Row{"key": "b", "flux": "-3.0"},
Row{"key": "a", "flux": "1.0"},
Row{"key": "a", "flux": "2.0"},
Row{"key": "a", "flux": "3.0"},
),
key: "keyy",
newAgg: func() Agg { return NewExtractor("flux", NewMean()) },
isErr: true,
},
{
stream: NewStream(
Row{"key": "b", "flux": "-1.0"},
Row{"key": "b", "flux": "-2.0"},
Row{"key": "b", "flux": "-3.0"},
Row{"key": "a", "flux": "1.0"},
Row{"key": "a", "flux": "2.0"},
Row{"key": "a", "flux": "3.0"},
),
key: "key",
newAgg: func() Agg { return NewExtractor("fluxx", NewMean()) },
isErr: true,
},
}
for i, tc := range testCases {
t.Run(fmt.Sprintf("Test case %d", i), func(t *testing.T) {
// Go through the Rows and update the Agg
b := &strings.Builder{}
sgb := NewSequentialGroupBy(tc.key, tc.newAgg, NewCSVSink(b))
err := Run(tc.stream, sgb, nil, 0)
// Check the error
if err == nil {
if tc.isErr == true {
t.Error("expected an error, got nil")
return
}
} else {
if tc.isErr == false {
t.Errorf("expected no error, got %v", err)
return
}
return
}
// Collect and check the output
output := b.String()
if output != tc.output {
t.Errorf("got:\n%swant:\n%s", output, tc.output)
}
})
}
}