package main
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import (
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"container/ring"
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"context"
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"fmt"
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"math/rand"
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"time"
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rpchttp "github.com/tendermint/tendermint/rpc/client/http"
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e2e "github.com/tendermint/tendermint/test/e2e/pkg"
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"github.com/tendermint/tendermint/types"
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)
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// Load generates transactions against the network until the given context is
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// canceled.
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func Load(ctx context.Context, r *rand.Rand, testnet *e2e.Testnet) error {
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// Since transactions are executed across all nodes in the network, we need
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// to reduce transaction load for larger networks to avoid using too much
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// CPU. This gives high-throughput small networks and low-throughput large ones.
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// This also limits the number of TCP connections, since each worker has
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// a connection to all nodes.
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concurrency := len(testnet.Nodes) * 2
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if concurrency > 32 {
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concurrency = 32
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}
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chTx := make(chan types.Tx)
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chSuccess := make(chan int) // success counts per iteration
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ctx, cancel := context.WithCancel(ctx)
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defer cancel()
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// Spawn job generator and processors.
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logger.Info("starting transaction load",
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"workers", concurrency,
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"nodes", len(testnet.Nodes),
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"tx", testnet.TxSize)
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started := time.Now()
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go loadGenerate(ctx, r, chTx, testnet.TxSize, len(testnet.Nodes))
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for w := 0; w < concurrency; w++ {
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go loadProcess(ctx, testnet, chTx, chSuccess)
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}
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// Montior transaction to ensure load propagates to the network
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//
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// This loop doesn't check or time out for stalls, since a stall here just
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// aborts the load generator sooner and could obscure backpressure
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// from the test harness, and there are other checks for
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// stalls in the framework. Ideally we should monitor latency as a guide
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// for when to give up, but we don't have a good way to track that yet.
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success := 0
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for {
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select {
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case numSeen := <-chSuccess:
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success += numSeen
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case <-ctx.Done():
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if success == 0 {
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return fmt.Errorf("failed to submit transactions in %s by %d workers",
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time.Since(started), concurrency)
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}
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// TODO perhaps allow test networks to
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// declare required transaction rates, which
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// might allow us to avoid the special case
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// around 0 txs above.
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rate := float64(success) / time.Since(started).Seconds()
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logger.Info("ending transaction load",
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"dur_secs", time.Since(started).Seconds(),
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"txns", success,
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"workers", concurrency,
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"rate", rate)
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return nil
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}
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}
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}
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// loadGenerate generates jobs until the context is canceled.
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//
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// The chTx has multiple consumers, thus the rate limiting of the load
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// generation is primarily the result of backpressure from the
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// broadcast transaction, though there is still some timer-based
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// limiting.
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func loadGenerate(ctx context.Context, r *rand.Rand, chTx chan<- types.Tx, txSize int64, networkSize int) {
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timer := time.NewTimer(0)
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defer timer.Stop()
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defer close(chTx)
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for {
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select {
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case <-ctx.Done():
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return
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case <-timer.C:
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}
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// We keep generating the same 100 keys over and over, with different values.
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// This gives a reasonable load without putting too much data in the app.
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id := rand.Int63() % 100 // nolint: gosec
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bz := make([]byte, txSize)
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_, err := r.Read(bz)
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if err != nil {
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panic(fmt.Sprintf("Failed to read random bytes: %v", err))
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}
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tx := types.Tx(fmt.Sprintf("load-%X=%x", id, bz))
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select {
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case <-ctx.Done():
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return
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case chTx <- tx:
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// sleep for a bit before sending the
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// next transaction.
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timer.Reset(loadGenerateWaitTime(r, networkSize))
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}
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}
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}
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func loadGenerateWaitTime(r *rand.Rand, size int) time.Duration {
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const (
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min = int64(250 * time.Millisecond)
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max = int64(time.Second)
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)
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var (
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baseJitter = r.Int63n(max-min+1) + min
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sizeFactor = int64(size) * min
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sizeJitter = r.Int63n(sizeFactor-min+1) + min
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)
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return time.Duration(baseJitter + sizeJitter)
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}
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// loadProcess processes transactions
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func loadProcess(ctx context.Context, testnet *e2e.Testnet, chTx <-chan types.Tx, chSuccess chan<- int) {
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// Each worker gets its own client to each usable node, which
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// allows for some concurrency while still bounding it.
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clients := make([]*rpchttp.HTTP, 0, len(testnet.Nodes))
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for idx := range testnet.Nodes {
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// Construct a list of usable nodes for the creating
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// load. Don't send load through seed nodes because
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// they do not provide the RPC endpoints required to
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// broadcast transaction.
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if testnet.Nodes[idx].Mode == e2e.ModeSeed {
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continue
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}
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client, err := testnet.Nodes[idx].Client()
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if err != nil {
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continue
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}
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clients = append(clients, client)
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}
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if len(clients) == 0 {
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panic("no clients to process load")
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}
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// Put the clients in a ring so they can be used in a
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// round-robin fashion.
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clientRing := ring.New(len(clients))
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for idx := range clients {
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clientRing.Value = clients[idx]
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clientRing = clientRing.Next()
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}
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successes := 0
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for {
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select {
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case <-ctx.Done():
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return
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case tx := <-chTx:
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clientRing = clientRing.Next()
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client := clientRing.Value.(*rpchttp.HTTP)
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if status, err := client.Status(ctx); err != nil {
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continue
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} else if status.SyncInfo.CatchingUp {
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continue
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}
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if _, err := client.BroadcastTxSync(ctx, tx); err != nil {
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continue
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}
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successes++
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select {
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case chSuccess <- successes:
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successes = 0 // reset counter for the next iteration
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continue
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case <-ctx.Done():
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return
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default:
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}
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}
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}
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}
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