Build per-tenant ClickHouse write-routing for ingest (Tantivy still deferred)

ingest tags every record with a tenant_id Kafka header (built previously),
but nothing consumed it to actually route the write. This closes that for
ClickHouse: enterprise/cmd/enterprise-ingest (a second binary, mirroring
enterprise-api) reuses ingest/consumer's own flush loop unchanged, with
enterprise/internal/chwriter.Registry -- a per-tenant clickhousewriter.Writer
registry -- swapped in as the writer. A batch pulled from the single shared
Redpanda topic can mix records from many tenants, so WriteBatch groups by
TenantID and dispatches each group to its own tenant's connection, fail-
closed on an empty or unrecognized tenant_id.

ingest/consumer and ingest/clickhousewriter move out of internal/ (same
reason api/internal/* moved earlier this phase: enterprise/ can't import
anything under another module's internal/). Their New() constructors now
take small local Config structs instead of ingest/internal/config types,
so enterprise/ doesn't need that import either.

Building this surfaced a real bug: tenantprovision.ProvisionClickHouse
only granted SELECT on a tenant's ClickHouse user, correct for chrunner's
read-only use but not enough for chwriter reusing the same credential to
write -- every real per-tenant write would have failed closed with a
permission error. Fixed by widening the grant to SELECT, INSERT; no
cross-tenant boundary is crossed by also allowing INSERT within a
tenant's own database.

Helm gates enterprise-ingest's Deployment on the same
ingest.requireTenantCredential flag that already gates tag validation --
write-routing is meaningless without tagging already being required, so
they're one decision, not two. docker-compose.yml's version is a
disclosed, weaker approximation: it can't achieve Helm's genuine
-mode=server/-mode=consumer split, so with the enterprise profile active
both ingest and enterprise-ingest independently consume every message
via different consumer groups -- harmless duplication for local
verification only.

Not built: Tantivy's independent Redpanda consumer (search/src/consumer.rs)
still doesn't read the tenant_id header at all -- every record still lands
in the one shared index regardless of tenant. Not run: the live-ClickHouse-
gated tests (chwriter's cross-tenant routing test, tenantprovision's INSERT
regression test) -- no Docker/database access in this environment; they're
correct Go that has never executed, disclosed as such in docs/security/
threat-model.md and docs/phase-4-runbook.md §14.
This commit is contained in:
2026-08-14 19:26:09 -07:00
parent 17fdc212c2
commit 1de77b969f
26 changed files with 1355 additions and 267 deletions
+180
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// Package consumer reads normalized-on-write LogRecords back off Redpanda
// and batch-writes them into ClickHouse. Offsets are committed only after
// a successful ClickHouse write, so a ClickHouse outage causes redelivery
// on restart rather than silent data loss (at-least-once, not exactly-once
// — Phase 0 doesn't dedupe on the consumer side).
//
// Moved out of internal/ (was ingest/internal/consumer) once
// enterprise/cmd/enterprise-ingest needed to run this same flush loop
// against a per-tenant chWriter -- see clickhousewriter's doc comment
// for why (same Go internal/-visibility reasoning as every other
// package this phase moved out of internal/ for a cross-module
// import). Each record's TenantID (Record.TenantID below) is read from
// the tenant_id Kafka message header grpcserver.TenantIDHeaderKey
// documents -- empty when no TenantResolver was configured for the
// PushBatch call that produced it, exactly as before per-tenant ingest
// credentials existed. What a chWriter implementation *does* with that
// tag varies: ingest/cmd/ingest's single-tenant clickhousewriter.Writer
// ignores it (writes everything to its one configured database, per
// Phase 0-3 behavior, unchanged); enterprise/internal/chwriter.Registry
// (only ever wired into enterprise/cmd/enterprise-ingest, never this
// core binary) routes each record to its tenant's dedicated ClickHouse
// database instead.
package consumer
import (
"context"
"log/slog"
"time"
"github.com/segmentio/kafka-go"
"google.golang.org/protobuf/proto"
logsv1 "github.com/sentry/sentry/proto/sentry/logs/v1"
)
// TenantIDHeaderKey mirrors ingest/internal/grpcserver.TenantIDHeaderKey
// -- kept as its own constant (not an import of grpcserver, which is
// the agent-facing *producer* side, a different concern from this
// package's consumer side) so this package's dependency list stays
// narrow. Both must name the same literal; a mismatch would silently
// stop tenant_id from ever reaching a consumer, so grpcserver's own
// doc comment on TenantIDHeaderKey cross-references this one.
const TenantIDHeaderKey = "tenant_id"
// Record pairs a parsed LogRecord with the tenant it was tagged with at
// ingest time (see the package doc comment).
type Record struct {
TenantID string
Record *logsv1.LogRecord
}
// chWriter is the subset of a ClickHouse writer this package depends
// on, kept as an interface so the flush loop is unit-testable without a
// real ClickHouse connection, and so both the single-tenant
// (clickhousewriter.Writer, adapted) and multi-tenant
// (enterprise/internal/chwriter.Registry) implementations can share
// this exact same consumer loop.
type chWriter interface {
WriteBatch(ctx context.Context, records []Record) error
}
// reader is the subset of *kafka.Reader used here, as an interface so the
// flush/commit logic can be tested against a fake without a real broker.
type reader interface {
FetchMessage(ctx context.Context) (kafka.Message, error)
CommitMessages(ctx context.Context, msgs ...kafka.Message) error
Close() error
}
// Config is deliberately a local type, not ingest/internal/config's
// RedpandaConfig/BatchConfig -- same "this package must be importable
// from enterprise/, so it can't depend on ingest/internal/..." reasoning
// as clickhousewriter.Config.
type Config struct {
Brokers []string
Topic string
ConsumerGroup string
BatchMaxSize int
FlushIntervalMS int
}
type Consumer struct {
logger *slog.Logger
reader reader
writer chWriter
cfg Config
}
func New(logger *slog.Logger, cfg Config, w chWriter) *Consumer {
r := kafka.NewReader(kafka.ReaderConfig{
Brokers: cfg.Brokers,
Topic: cfg.Topic,
GroupID: cfg.ConsumerGroup,
})
return &Consumer{logger: logger, reader: r, writer: w, cfg: cfg}
}
func (c *Consumer) Run(ctx context.Context) error {
defer c.reader.Close()
flushInterval := time.Duration(c.cfg.FlushIntervalMS) * time.Millisecond
ticker := time.NewTicker(flushInterval)
defer ticker.Stop()
msgCh := make(chan kafka.Message)
fetchErrCh := make(chan error, 1)
go func() {
for {
m, err := c.reader.FetchMessage(ctx)
if err != nil {
fetchErrCh <- err
return
}
select {
case msgCh <- m:
case <-ctx.Done():
return
}
}
}()
var records []Record
var pending []kafka.Message
flush := func() {
if len(records) == 0 {
return
}
if err := c.writer.WriteBatch(ctx, records); err != nil {
c.logger.Error("clickhouse batch write failed, offsets not committed, will redeliver",
"records", len(records), "error", err)
} else if err := c.reader.CommitMessages(ctx, pending...); err != nil {
c.logger.Error("committing offsets after clickhouse write", "error", err)
} else {
c.logger.Debug("batch flushed to clickhouse", "records", len(records))
}
records = records[:0]
pending = pending[:0]
}
for {
select {
case <-ctx.Done():
flush()
return nil
case err := <-fetchErrCh:
flush()
if ctx.Err() != nil {
return nil
}
return err
case <-ticker.C:
flush()
case m := <-msgCh:
var rec logsv1.LogRecord
if err := proto.Unmarshal(m.Value, &rec); err != nil {
c.logger.Warn("skipping unparseable message", "error", err, "offset", m.Offset)
if cerr := c.reader.CommitMessages(ctx, m); cerr != nil {
c.logger.Error("committing offset for poison message", "error", cerr)
}
continue
}
records = append(records, Record{TenantID: tenantIDFromHeaders(m.Headers), Record: &rec})
pending = append(pending, m)
if len(records) >= c.cfg.BatchMaxSize {
flush()
}
}
}
}
func tenantIDFromHeaders(headers []kafka.Header) string {
for _, h := range headers {
if h.Key == TenantIDHeaderKey {
return string(h.Value)
}
}
return ""
}
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package consumer
import (
"context"
"errors"
"io"
"log/slog"
"sync"
"testing"
"time"
"github.com/segmentio/kafka-go"
"google.golang.org/protobuf/proto"
logsv1 "github.com/sentry/sentry/proto/sentry/logs/v1"
)
type fakeReader struct {
msgs chan kafka.Message
mu sync.Mutex
committed [][]kafka.Message
}
func newFakeReader() *fakeReader {
return &fakeReader{msgs: make(chan kafka.Message, 16)}
}
func (f *fakeReader) push(m kafka.Message) { f.msgs <- m }
func (f *fakeReader) FetchMessage(ctx context.Context) (kafka.Message, error) {
select {
case m := <-f.msgs:
return m, nil
case <-ctx.Done():
return kafka.Message{}, ctx.Err()
}
}
func (f *fakeReader) CommitMessages(_ context.Context, msgs ...kafka.Message) error {
f.mu.Lock()
defer f.mu.Unlock()
f.committed = append(f.committed, msgs)
return nil
}
func (f *fakeReader) Close() error { return nil }
func (f *fakeReader) commitCount() int {
f.mu.Lock()
defer f.mu.Unlock()
return len(f.committed)
}
type fakeWriter struct {
mu sync.Mutex
batches [][]Record
failNext bool
}
func (f *fakeWriter) WriteBatch(_ context.Context, records []Record) error {
f.mu.Lock()
defer f.mu.Unlock()
if f.failNext {
f.failNext = false
return errors.New("simulated clickhouse failure")
}
batch := make([]Record, len(records))
copy(batch, records)
f.batches = append(f.batches, batch)
return nil
}
func (f *fakeWriter) batchCount() int {
f.mu.Lock()
defer f.mu.Unlock()
return len(f.batches)
}
func newTestConsumer(r reader, w chWriter, cfg Config) *Consumer {
return &Consumer{
logger: slog.New(slog.NewTextHandler(io.Discard, nil)),
reader: r,
writer: w,
cfg: cfg,
}
}
func mustMarshal(t *testing.T, rec *logsv1.LogRecord) []byte {
t.Helper()
b, err := proto.Marshal(rec)
if err != nil {
t.Fatalf("marshal: %v", err)
}
return b
}
func waitFor(t *testing.T, timeout time.Duration, cond func() bool) {
t.Helper()
deadline := time.Now().Add(timeout)
for time.Now().Before(deadline) {
if cond() {
return
}
time.Sleep(5 * time.Millisecond)
}
t.Fatal("condition not met before timeout")
}
func TestConsumerFlushesOnBatchSize(t *testing.T) {
fr := newFakeReader()
fw := &fakeWriter{}
c := newTestConsumer(fr, fw, Config{BatchMaxSize: 2, FlushIntervalMS: 60_000})
ctx, cancel := context.WithCancel(context.Background())
defer cancel()
done := make(chan error, 1)
go func() { done <- c.Run(ctx) }()
fr.push(kafka.Message{Value: mustMarshal(t, &logsv1.LogRecord{Message: "a"})})
fr.push(kafka.Message{Value: mustMarshal(t, &logsv1.LogRecord{Message: "b"})})
waitFor(t, time.Second, func() bool { return fw.batchCount() == 1 })
fw.mu.Lock()
if len(fw.batches[0]) != 2 {
t.Fatalf("expected batch of 2 records, got %d", len(fw.batches[0]))
}
fw.mu.Unlock()
waitFor(t, time.Second, func() bool { return fr.commitCount() == 1 })
}
func TestConsumerFlushesOnTimeout(t *testing.T) {
fr := newFakeReader()
fw := &fakeWriter{}
c := newTestConsumer(fr, fw, Config{BatchMaxSize: 1000, FlushIntervalMS: 20})
ctx, cancel := context.WithCancel(context.Background())
defer cancel()
done := make(chan error, 1)
go func() { done <- c.Run(ctx) }()
fr.push(kafka.Message{Value: mustMarshal(t, &logsv1.LogRecord{Message: "only-one"})})
waitFor(t, time.Second, func() bool { return fw.batchCount() == 1 })
fw.mu.Lock()
if len(fw.batches[0]) != 1 {
t.Fatalf("expected batch of 1 record, got %d", len(fw.batches[0]))
}
fw.mu.Unlock()
}
func TestConsumerDoesNotCommitOnWriteFailure(t *testing.T) {
fr := newFakeReader()
fw := &fakeWriter{failNext: true}
c := newTestConsumer(fr, fw, Config{BatchMaxSize: 1, FlushIntervalMS: 60_000})
ctx, cancel := context.WithCancel(context.Background())
defer cancel()
done := make(chan error, 1)
go func() { done <- c.Run(ctx) }()
fr.push(kafka.Message{Value: mustMarshal(t, &logsv1.LogRecord{Message: "will-fail"})})
// Give the flush a moment to run and fail.
time.Sleep(100 * time.Millisecond)
if got := fr.commitCount(); got != 0 {
t.Fatalf("expected no commits after a failed clickhouse write, got %d", got)
}
// The batch was attempted even though writer returned an error.
if fw.batchCount() != 0 {
t.Fatalf("fakeWriter should not record a failed batch, got %d recorded", fw.batchCount())
}
}
// TestConsumerExtractsTenantIDFromHeader is the read-side half of the
// producer/consumer tenant_id contract -- ingest/internal/grpcserver
// attaches this header on the way in; this proves the consumer reads it
// back correctly (and that a message with no header at all -- the
// single-tenant/no-resolver case -- gets an empty TenantID, not an
// error).
func TestConsumerExtractsTenantIDFromHeader(t *testing.T) {
fr := newFakeReader()
fw := &fakeWriter{}
c := newTestConsumer(fr, fw, Config{BatchMaxSize: 2, FlushIntervalMS: 60_000})
ctx, cancel := context.WithCancel(context.Background())
defer cancel()
go func() { _ = c.Run(ctx) }()
fr.push(kafka.Message{
Value: mustMarshal(t, &logsv1.LogRecord{Message: "tagged"}),
Headers: []kafka.Header{{Key: TenantIDHeaderKey, Value: []byte("acme")}},
})
fr.push(kafka.Message{Value: mustMarshal(t, &logsv1.LogRecord{Message: "untagged"})})
waitFor(t, time.Second, func() bool { return fw.batchCount() == 1 })
fw.mu.Lock()
defer fw.mu.Unlock()
byMessage := map[string]string{}
for _, r := range fw.batches[0] {
byMessage[r.Record.GetMessage()] = r.TenantID
}
if byMessage["tagged"] != "acme" {
t.Fatalf("TenantID for the tagged message = %q, want acme", byMessage["tagged"])
}
if byMessage["untagged"] != "" {
t.Fatalf("TenantID for the untagged message = %q, want empty", byMessage["untagged"])
}
}