package main
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import (
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"context"
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"crypto/rand"
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"errors"
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"fmt"
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"math"
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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. A multiplier of greater than one can be supplied if load needs to
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// be generated beyond a minimum amount.
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func Load(ctx context.Context, testnet *e2e.Testnet, multiplier int) 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 := 64 / len(testnet.Nodes)
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if concurrency == 0 {
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concurrency = 1
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}
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initialTimeout := 1 * time.Minute
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stallTimeout := 30 * time.Second
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chTx := make(chan types.Tx)
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chSuccess := make(chan types.Tx)
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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(fmt.Sprintf("Starting transaction load (%v workers)...", concurrency))
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started := time.Now()
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go loadGenerate(ctx, chTx, multiplier)
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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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// Monitor successful transactions, and abort on stalls.
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success := 0
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timeout := initialTimeout
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for {
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select {
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case <-chSuccess:
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success++
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timeout = stallTimeout
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case <-time.After(timeout):
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return fmt.Errorf("unable to submit transactions for %v", timeout)
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case <-ctx.Done():
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if success == 0 {
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return errors.New("failed to submit any transactions")
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}
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logger.Info(fmt.Sprintf("Ending transaction load after %v txs (%.1f tx/s)...",
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success, float64(success)/time.Since(started).Seconds()))
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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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func loadGenerate(ctx context.Context, chTx chan<- types.Tx, multiplier int) {
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for i := 0; i < math.MaxInt64; i++ {
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// We keep generating the same 1000 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 := i % 1000
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bz := make([]byte, 1024) // 1kb hex-encoded
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_, err := rand.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 chTx <- tx:
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time.Sleep(time.Second / time.Duration(multiplier))
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case <-ctx.Done():
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close(chTx)
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return
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}
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}
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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<- types.Tx) {
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// Each worker gets its own client to each node, which allows for some
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// concurrency while still bounding it.
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clients := map[string]*rpchttp.HTTP{}
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var err error
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for tx := range chTx {
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node := testnet.RandomNode()
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client, ok := clients[node.Name]
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if !ok {
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client, err = node.Client()
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if err != nil {
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continue
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}
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// check that the node is up
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_, err = client.Health(ctx)
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if err != nil {
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continue
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}
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clients[node.Name] = client
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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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chSuccess <- tx
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}
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}
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