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// _ _
// __ _____ __ ___ ___ __ _| |_ ___
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
// \ V V / __/ (_| |\ V /| | (_| | || __/
// \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
//
// Copyright © 2016 - 2024 Weaviate B.V. All rights reserved.
//
// CONTACT: [email protected]
//
package compression_test
import (
"context"
"fmt"
"math/rand"
"testing"
"time"
"github.com/stretchr/testify/require"
wvt "github.com/weaviate/weaviate-go-client/v4/weaviate"
"github.com/weaviate/weaviate/entities/models"
"github.com/weaviate/weaviate/entities/schema"
"github.com/weaviate/weaviate/entities/vectorindex/hnsw"
"github.com/weaviate/weaviate/test/docker"
)
func TestCompression_AdaptSegments(t *testing.T) {
type testCase struct {
dimensions int
}
testCases := []testCase{
{dimensions: 768},
{dimensions: 125},
{dimensions: 4},
}
ctx := context.Background()
className := "Compressed"
t.Run("async indexing", func(t *testing.T) {
compose, err := docker.New().
WithWeaviate().
WithWeaviateEnv("ASYNC_INDEXING", "true").
Start(ctx)
require.NoError(t, err)
defer func() {
require.NoError(t, compose.Terminate(ctx))
}()
client, err := wvt.NewClient(wvt.Config{Scheme: "http", Host: compose.GetWeaviate().URI()})
require.NoError(t, err)
cleanup := func() {
err := client.Schema().AllDeleter().Do(ctx)
require.NoError(t, err)
}
for _, tc := range testCases {
t.Run(fmt.Sprintf("dimensions %d", tc.dimensions), func(t *testing.T) {
defer cleanup()
var class *models.Class
t.Run("create class", func(t *testing.T) {
class = createClass(t, client, className)
})
t.Run("compress", func(t *testing.T) {
pq := class.VectorIndexConfig.(map[string]interface{})["pq"].(map[string]interface{})
pq["segments"] = 0
pq["centroids"] = 256
pq["trainingLimit"] = 999
err = client.Schema().ClassUpdater().
WithClass(class).
Do(ctx)
require.NoError(t, err)
})
t.Run("populate", func(t *testing.T) {
populate(t, client, className, tc.dimensions)
})
t.Run("check eventually compressed", func(t *testing.T) {
checkEventuallyCompressed(t, client, className)
})
})
}
})
t.Run("sync indexing", func(t *testing.T) {
client, err := wvt.NewClient(wvt.Config{Scheme: "http", Host: "localhost:8080"})
require.NoError(t, err)
cleanup := func() {
err := client.Schema().AllDeleter().Do(ctx)
require.NoError(t, err)
}
for _, tc := range testCases {
t.Run(fmt.Sprintf("dimensions %d", tc.dimensions), func(t *testing.T) {
defer cleanup()
var class *models.Class
t.Run("create class", func(t *testing.T) {
class = createClass(t, client, className)
})
t.Run("populate", func(t *testing.T) {
populate(t, client, className, tc.dimensions)
})
t.Run("compress", func(t *testing.T) {
pq := class.VectorIndexConfig.(map[string]interface{})["pq"].(map[string]interface{})
pq["segments"] = 0
pq["centroids"] = 256
err = client.Schema().ClassUpdater().
WithClass(class).
Do(ctx)
require.NoError(t, err)
})
t.Run("check eventually compressed", func(t *testing.T) {
checkEventuallyCompressed(t, client, className)
})
})
}
})
}
func createClass(t *testing.T, client *wvt.Client, className string) *models.Class {
ctx := context.Background()
efConstruction := 64
ef := 32
maxNeighbors := 32
vectorCacheMaxObjects := 10e12
class := &models.Class{
Class: className,
Properties: []*models.Property{{
Name: "int",
DataType: schema.DataTypeInt.PropString(),
}},
Vectorizer: "none",
VectorIndexConfig: map[string]interface{}{
"maxConnections": maxNeighbors,
"efConstruction": efConstruction,
"ef": ef,
"vectorCacheMaxObjects": vectorCacheMaxObjects,
"distance": "l2-squared",
"pq": map[string]interface{}{
"enabled": true,
"encoder": map[string]interface{}{
"distribution": hnsw.PQEncoderDistributionNormal,
"type": hnsw.PQEncoderTypeKMeans,
},
},
},
}
err := client.Schema().ClassCreator().
WithClass(class).
Do(ctx)
require.NoError(t, err)
return class
}
func populate(t *testing.T, client *wvt.Client, className string, dimensions int) {
ctx := context.Background()
vectorsCount := 1000
objects := make([]*models.Object, vectorsCount)
for i, vector := range randomVecs(vectorsCount, dimensions) {
objects[i] = &models.Object{
Class: className,
Properties: map[string]interface{}{
"int": i,
},
Vector: vector,
}
}
resps, err := client.Batch().ObjectsBatcher().
WithObjects(objects...).
Do(ctx)
require.NoError(t, err)
require.Len(t, resps, vectorsCount)
for _, resp := range resps {
require.NotNil(t, resp.Result.Status)
require.Equal(t, models.ObjectsGetResponseAO2ResultStatusSUCCESS, *resp.Result.Status)
}
}
func checkEventuallyCompressed(t *testing.T, client *wvt.Client, className string) {
ctx := context.Background()
timeout := 15 * time.Minute
interval := 1 * time.Second
var compressed bool
end := time.Now().Add(timeout)
for time.Now().Before(end) {
resp, err := client.Cluster().NodesStatusGetter().
WithClass(className).
WithOutput("verbose").
Do(ctx)
require.NoError(t, err)
require.NotNil(t, resp)
require.Len(t, resp.Nodes, 1)
require.Len(t, resp.Nodes[0].Shards, 1)
compressed = resp.Nodes[0].Shards[0].Compressed
if compressed {
break
}
time.Sleep(interval)
}
require.True(t, compressed)
}
func randomVecs(size int, dimensions int) [][]float32 {
r := rand.New(rand.NewSource(time.Now().UnixNano()))
vectors := make([][]float32, size)
for i := range vectors {
vectors[i] = genVector(r, dimensions)
}
return vectors
}
func genVector(r *rand.Rand, dimensions int) []float32 {
vector := make([]float32, dimensions)
for i := range vector {
// Some distances like dot could produce negative values when the vectors have negative values
// This change will not affect anything when using a distance like l2, but will cover some bugs
// when using distances like dot
vector[i] = r.Float32()*2 - 1
}
return vector
}
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