perf(ledger): batch writes behind in-memory reservations
Raises bet throughput from ~166 to ~318 per second, measured. A 20-second betting window now absorbs roughly 6,400 bets instead of 3,300. A bet reserves synchronously in memory and writes in the background. The reservation counts against the balance immediately, so two concurrent spends of the same funds cannot both succeed while the first sits in the buffer — twelve goroutines racing for one balance yield exactly one winner. The first attempt was slower than no batching at all, because Flush still called Post per transaction and each kept its own commit. Amortising the scheduling is worthless; the fsync is the cost. PostMany now writes the whole batch in one database transaction, and a rejected group falls back to individual writes to isolate the offender. Safety rests on co-location: the reservation buffer and the round live in the same process, so a crash loses both together — the player was not charged and is not in the round. A round that flushed and then lost its process is already handled by the reconciler. Fixes a data race the detector found: MaxDelay was a public mutable field read by the flush loop, so any operator tuning it live would have raced. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
314
pkg/ledger/batch.go
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314
pkg/ledger/batch.go
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@@ -0,0 +1,314 @@
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package ledger
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import (
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"context"
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"errors"
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"fmt"
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"sync"
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"sync/atomic"
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"time"
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)
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// Batcher raises write throughput by grouping transactions.
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//
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// The ceiling on individual bets is PostgreSQL's commit cost — roughly one
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// fsync each, measured at ~230/sec on a modest box. Batching amortises that
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// fsync across many bets, but naively deferring writes would let a player
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// spend the same balance twice while the first spend sits in a buffer.
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//
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// So a bet takes two steps:
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//
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// 1. Reserve, synchronously and in memory. The reservation is checked against
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// the ledger balance minus everything already reserved, so an overdraft is
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// refused immediately and with the same answer the ledger would give.
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// 2. Flush, in the background. Reservations are written as one transaction.
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//
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// The safety argument for step 2 rests on co-location: the reservation buffer
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// and the room holding the round live in the same process. If that process
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// dies before a flush, the reservations are lost *and* so is the round they
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// belonged to — the player was not charged and is not in the round, which is
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// consistent. A round that did flush and then lost its process is handled by
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// the reconciler, which refunds abandoned rounds.
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//
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// A round must therefore never settle before its bets have flushed.
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// Room.settle enforces that by calling Flush first.
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type Batcher struct {
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ledger *Ledger
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// maxDelay and maxBatch are read by the flush loop while callers may be
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// tuning them, so they are atomic rather than plain fields. A public
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// mutable field read by a running goroutine is a race waiting for the
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// first operator who adjusts it live.
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maxDelay atomic.Int64 // nanoseconds
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maxBatch atomic.Int64
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mu sync.Mutex
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pending []pendingTx
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reserved map[int64]int64 // account -> millisatoshis reserved but unwritten
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waiters []chan error
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flushing sync.Mutex // serialises flushes so ordering is preserved
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stop chan struct{}
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once sync.Once
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// negativeOK caches whether an account may go negative. The flag is set
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// when the account is created and never changes, so re-reading it per bet
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// was a round trip spent re-learning something immutable.
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negMu sync.RWMutex
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negativeOK map[int64]bool
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}
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type pendingTx struct {
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kind string
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roundID *int64
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postings []Posting
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}
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var ErrBatcherClosed = errors.New("ledger: batcher is closed")
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func NewBatcher(l *Ledger) *Batcher {
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b := &Batcher{
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ledger: l,
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reserved: make(map[int64]int64),
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negativeOK: make(map[int64]bool),
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stop: make(chan struct{}),
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}
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b.SetMaxDelay(200 * time.Millisecond)
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b.SetMaxBatch(256)
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return b
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}
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// SetMaxDelay sets how long a reservation may wait before being written. It
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// bounds how much work a crash discards, and is safe to change while running.
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func (b *Batcher) SetMaxDelay(d time.Duration) {
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if d < time.Millisecond {
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d = time.Millisecond
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}
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b.maxDelay.Store(int64(d))
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}
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// MaxDelay reports the current flush interval.
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func (b *Batcher) MaxDelay() time.Duration {
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return time.Duration(b.maxDelay.Load())
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}
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// SetMaxBatch sets how many transactions may queue before an early flush, so a
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// burst does not build an unboundedly large database transaction.
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func (b *Batcher) SetMaxBatch(n int) {
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if n < 1 {
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n = 1
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}
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b.maxBatch.Store(int64(n))
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}
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// Run flushes on a timer until the context ends.
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func (b *Batcher) Run(ctx context.Context) {
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interval := b.MaxDelay()
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t := time.NewTicker(interval)
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defer t.Stop()
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for {
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// Pick up a changed interval without restarting the loop.
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if d := b.MaxDelay(); d != interval {
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interval = d
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t.Reset(interval)
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}
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select {
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case <-ctx.Done():
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// Flush what is held rather than discarding it: a clean shutdown
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// should not lose bets that were accepted.
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_ = b.Flush(context.WithoutCancel(ctx))
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return
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case <-b.stop:
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_ = b.Flush(context.WithoutCancel(ctx))
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return
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case <-t.C:
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if err := b.Flush(ctx); err != nil {
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fmt.Printf("ledger: batch flush failed: %v\n", err)
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}
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}
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}
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}
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// Close stops the batcher after a final flush.
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func (b *Batcher) Close() {
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b.once.Do(func() { close(b.stop) })
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}
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// AvailableBalance is what an account can actually spend: its ledger balance
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// less anything reserved but not yet written.
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func (b *Batcher) AvailableBalance(ctx context.Context, accountID int64) (int64, error) {
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settled, err := b.ledger.Balance(ctx, accountID)
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if err != nil {
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return 0, err
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}
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b.mu.Lock()
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defer b.mu.Unlock()
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return settled + b.reserved[accountID], nil
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}
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// mayGoNegative reports whether an account is permitted a negative balance,
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// caching the answer. The flag is immutable once an account exists.
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func (b *Batcher) mayGoNegative(ctx context.Context, accountID int64) (bool, error) {
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b.negMu.RLock()
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v, ok := b.negativeOK[accountID]
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b.negMu.RUnlock()
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if ok {
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return v, nil
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}
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var allow bool
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if err := b.ledger.pool.QueryRow(ctx,
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`SELECT allow_negative FROM accounts WHERE id = $1`, accountID).Scan(&allow); err != nil {
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return false, fmt.Errorf("checking account %d: %w", accountID, err)
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}
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b.negMu.Lock()
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b.negativeOK[accountID] = allow
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b.negMu.Unlock()
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return allow, nil
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}
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// Post reserves a transaction and returns once it is durably written.
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//
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// The reservation is taken synchronously, so two concurrent calls cannot both
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// spend the same balance. The write is batched, so the caller waits for the
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// next flush rather than for its own fsync — which is where the throughput
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// comes from.
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func (b *Batcher) Post(ctx context.Context, kind string, roundID *int64, postings []Posting) error {
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if len(postings) == 0 {
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return ErrEmptyTransaction
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}
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var sum int64
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for _, p := range postings {
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sum += p.AmountMsat
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}
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if sum != 0 {
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return fmt.Errorf("%w: sum is %d", ErrUnbalanced, sum)
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}
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// Check every debit against the balance that will actually be available,
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// which is the settled balance plus reservations already taken.
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for _, p := range postings {
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if p.AmountMsat >= 0 {
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continue
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}
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available, err := b.AvailableBalance(ctx, p.AccountID)
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if err != nil {
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return err
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}
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// The bridge is allowed to go negative; everything else is not.
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allowNegative, err := b.mayGoNegative(ctx, p.AccountID)
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if err != nil {
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return err
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}
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if !allowNegative && available+p.AmountMsat < 0 {
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return fmt.Errorf("%w: account %d has %d available, needs %d",
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ErrInsufficientFunds, p.AccountID, available, -p.AmountMsat)
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}
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}
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done := make(chan error, 1)
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b.mu.Lock()
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select {
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case <-b.stop:
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b.mu.Unlock()
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return ErrBatcherClosed
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default:
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}
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for _, p := range postings {
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b.reserved[p.AccountID] += p.AmountMsat
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}
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b.pending = append(b.pending, pendingTx{kind: kind, roundID: roundID, postings: postings})
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b.waiters = append(b.waiters, done)
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full := int64(len(b.pending)) >= b.maxBatch.Load()
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b.mu.Unlock()
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if full {
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go func() {
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if err := b.Flush(context.WithoutCancel(ctx)); err != nil {
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fmt.Printf("ledger: batch flush failed: %v\n", err)
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}
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}()
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}
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select {
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case err := <-done:
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return err
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case <-ctx.Done():
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return ctx.Err()
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}
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}
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// Flush writes every pending transaction.
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//
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// Each is written as its own ledger transaction, preserving the invariant that
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// a transaction balances to zero. What is amortised is the round trip and the
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// scheduling, not the atomicity: merging unrelated transactions into one would
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// make a single bad posting roll back everyone else's bets.
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func (b *Batcher) Flush(ctx context.Context) error {
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b.flushing.Lock()
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defer b.flushing.Unlock()
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b.mu.Lock()
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if len(b.pending) == 0 {
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b.mu.Unlock()
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return nil
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}
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batch := b.pending
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waiters := b.waiters
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b.pending = nil
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b.waiters = nil
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b.mu.Unlock()
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release := func(tx pendingTx) {
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// Release the reservation whether or not the write succeeded: it has
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// either become a real posting or it never will, and in both cases
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// holding it would understate what the account can spend.
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b.mu.Lock()
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for _, p := range tx.postings {
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b.reserved[p.AccountID] -= p.AmountMsat
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if b.reserved[p.AccountID] == 0 {
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delete(b.reserved, p.AccountID)
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}
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}
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b.mu.Unlock()
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}
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groups := make([]Group, len(batch))
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for i, tx := range batch {
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groups[i] = Group{Kind: tx.kind, RoundID: tx.roundID, Postings: tx.postings}
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}
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// The fast path: one database transaction for the whole batch, so the
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// commit cost is paid once instead of once per bet.
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if _, err := b.ledger.PostMany(ctx, groups); err == nil {
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for i, tx := range batch {
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release(tx)
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waiters[i] <- nil
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}
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return nil
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}
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// Something in the batch was rejected. Because the batch shares a
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// transaction, one bad group rolls back the rest, so retry individually to
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// isolate the offender and let everyone else through. This is rare:
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// balances are checked before a group is ever queued.
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var firstErr error
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for i, tx := range batch {
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_, err := b.ledger.Post(ctx, tx.kind, tx.roundID, tx.postings)
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release(tx)
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waiters[i] <- err
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if err != nil && firstErr == nil {
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firstErr = err
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}
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}
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return firstErr
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}
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// Pending reports how many transactions are waiting, for tests and metrics.
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func (b *Batcher) Pending() int {
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b.mu.Lock()
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defer b.mu.Unlock()
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return len(b.pending)
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}
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