de4559d862
Optimization by reusing more slices. Benchmark result: name old time/op new time/op delta RemoteSegment/healthy_segment-8 33.2µs ± 1% 31.4µs ± 6% -5.49% (p=0.032 n=4+5) name old alloc/op new alloc/op delta RemoteSegment/healthy_segment-8 15.9kB ± 0% 10.2kB ± 0% -35.92% (p=0.008 n=5+5) name old allocs/op new allocs/op delta RemoteSegment/healthy_segment-8 280 ± 0% 250 ± 0% -10.71% (p=0.008 n=5+5) Change-Id: I60462169285462dee6cd16d4f4ce1f30fb6cdfdf
189 lines
6.3 KiB
Go
189 lines
6.3 KiB
Go
// Copyright (C) 2023 Storj Labs, Inc.
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// See LICENSE for copying information.
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package repair
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import (
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"fmt"
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"testing"
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"github.com/stretchr/testify/require"
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"storj.io/common/identity/testidentity"
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"storj.io/common/storj"
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"storj.io/common/storj/location"
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"storj.io/storj/satellite/metabase"
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"storj.io/storj/satellite/nodeselection"
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"storj.io/storj/satellite/overlay"
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)
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func TestClassifySegmentPieces(t *testing.T) {
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getNodes := func(nodes []nodeselection.SelectedNode, pieces metabase.Pieces) (res []nodeselection.SelectedNode) {
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for _, piece := range pieces {
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for _, node := range nodes {
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if node.ID == piece.StorageNode {
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res = append(res, node)
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break
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}
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}
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}
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return res
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}
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t.Run("all online", func(t *testing.T) {
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var selectedNodes = generateNodes(5, func(ix int) bool {
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return true
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}, func(ix int, node *nodeselection.SelectedNode) {
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})
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c := &overlay.ConfigurablePlacementRule{}
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require.NoError(t, c.Set(""))
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parsed, err := c.Parse()
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require.NoError(t, err)
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pieces := createPieces(selectedNodes, 0, 1, 2, 3, 4)
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result := ClassifySegmentPieces(pieces, getNodes(selectedNodes, pieces), map[location.CountryCode]struct{}{}, true, false, parsed.CreateFilters(0), piecesToNodeIDs(pieces))
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require.Equal(t, 0, len(result.Missing))
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require.Equal(t, 0, len(result.Clumped))
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require.Equal(t, 0, len(result.OutOfPlacement))
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require.Equal(t, 0, len(result.UnhealthyRetrievable))
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})
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t.Run("out of placement", func(t *testing.T) {
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var selectedNodes = generateNodes(10, func(ix int) bool {
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return true
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}, func(ix int, node *nodeselection.SelectedNode) {
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if ix < 4 {
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node.CountryCode = location.Germany
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} else {
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node.CountryCode = location.UnitedKingdom
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}
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})
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c, err := overlay.ConfigurablePlacementRule{
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PlacementRules: `10:country("GB")`,
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}.Parse()
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require.NoError(t, err)
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pieces := createPieces(selectedNodes, 1, 2, 3, 4, 7, 8)
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result := ClassifySegmentPieces(pieces, getNodes(selectedNodes, pieces), map[location.CountryCode]struct{}{}, true, false, c.CreateFilters(10), piecesToNodeIDs(pieces))
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require.Equal(t, 0, len(result.Missing))
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require.Equal(t, 0, len(result.Clumped))
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// 1,2,3 are in Germany instead of GB
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require.Equal(t, 3, len(result.OutOfPlacement))
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require.Equal(t, 3, len(result.UnhealthyRetrievable))
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})
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t.Run("out of placement and offline", func(t *testing.T) {
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// all nodes are in wrong region and half of them are offline
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var selectedNodes = generateNodes(10, func(ix int) bool {
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return ix < 5
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}, func(ix int, node *nodeselection.SelectedNode) {
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node.CountryCode = location.Germany
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})
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c, err := overlay.ConfigurablePlacementRule{
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PlacementRules: `10:country("GB")`,
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}.Parse()
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require.NoError(t, err)
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pieces := createPieces(selectedNodes, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9)
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result := ClassifySegmentPieces(pieces, getNodes(selectedNodes, pieces), map[location.CountryCode]struct{}{}, true, false, c.CreateFilters(10), piecesToNodeIDs(pieces))
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// offline nodes
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require.Equal(t, 5, len(result.Missing))
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require.Equal(t, 0, len(result.Clumped))
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require.Equal(t, 10, len(result.OutOfPlacement))
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require.Equal(t, 5, len(result.UnhealthyRetrievable))
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numHealthy := len(pieces) - len(result.Missing) - len(result.UnhealthyRetrievable)
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require.Equal(t, 0, numHealthy)
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})
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t.Run("normal declumping (subnet check)", func(t *testing.T) {
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var selectedNodes = generateNodes(10, func(ix int) bool {
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return ix < 5
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}, func(ix int, node *nodeselection.SelectedNode) {
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node.LastNet = fmt.Sprintf("127.0.%d.0", ix/2)
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})
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c := overlay.NewPlacementDefinitions()
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// first 5: online, 2 in each subnet --> healthy: one from (0,1) (2,3) (4), offline: (5,6) but 5 is in the same subnet as 6
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pieces := createPieces(selectedNodes, 0, 1, 2, 3, 4, 5, 6)
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result := ClassifySegmentPieces(pieces, getNodes(selectedNodes, pieces), map[location.CountryCode]struct{}{}, true, true, c.CreateFilters(0), piecesToNodeIDs(pieces))
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// offline nodes
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require.Equal(t, 2, len(result.Missing))
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require.Equal(t, 3, len(result.Clumped))
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require.Equal(t, 0, len(result.OutOfPlacement))
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require.Equal(t, 2, len(result.UnhealthyRetrievable))
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numHealthy := len(pieces) - len(result.Missing) - len(result.UnhealthyRetrievable)
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require.Equal(t, 3, numHealthy)
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})
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t.Run("declumping but with no subnet filter", func(t *testing.T) {
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var selectedNodes = generateNodes(10, func(ix int) bool {
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return ix < 5
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}, func(ix int, node *nodeselection.SelectedNode) {
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node.LastNet = fmt.Sprintf("127.0.%d.0", ix/2)
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node.CountryCode = location.UnitedKingdom
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})
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c, err := overlay.ConfigurablePlacementRule{
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PlacementRules: fmt.Sprintf(`10:annotated(country("GB"),annotation("%s","%s"))`, nodeselection.AutoExcludeSubnet, nodeselection.AutoExcludeSubnetOFF),
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}.Parse()
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require.NoError(t, err)
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// first 5: online, 2 in each subnet --> healthy: one from (0,1) (2,3) (4), offline: (5,6) but 5 is in the same subnet as 6
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pieces := createPieces(selectedNodes, 0, 1, 2, 3, 4, 5, 6)
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result := ClassifySegmentPieces(pieces, getNodes(selectedNodes, pieces), map[location.CountryCode]struct{}{}, true, true, c.CreateFilters(10), piecesToNodeIDs(pieces))
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// offline nodes
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require.Equal(t, 2, len(result.Missing))
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require.Equal(t, 0, len(result.Clumped))
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require.Equal(t, 0, len(result.OutOfPlacement))
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require.Equal(t, 0, len(result.UnhealthyRetrievable))
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numHealthy := len(pieces) - len(result.Missing) - len(result.UnhealthyRetrievable)
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require.Equal(t, 5, numHealthy)
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})
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}
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func generateNodes(num int, isOnline func(i int) bool, config func(ix int, node *nodeselection.SelectedNode)) (selectedNodes []nodeselection.SelectedNode) {
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for i := 0; i < num; i++ {
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node := nodeselection.SelectedNode{
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ID: testidentity.MustPregeneratedIdentity(i, storj.LatestIDVersion()).ID,
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Online: isOnline(i),
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}
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config(i, &node)
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selectedNodes = append(selectedNodes, node)
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}
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return
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}
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func createPieces(selectedNodes []nodeselection.SelectedNode, indexes ...int) (res metabase.Pieces) {
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for _, index := range indexes {
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piece := metabase.Piece{
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Number: uint16(index),
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}
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piece.StorageNode = selectedNodes[index].ID
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res = append(res, piece)
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}
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return
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}
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func piecesToNodeIDs(pieces metabase.Pieces) []storj.NodeID {
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ids := make([]storj.NodeID, len(pieces))
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for i, piece := range pieces {
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ids[i] = piece.StorageNode
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}
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return ids
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}
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