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:
@@ -0,0 +1,180 @@
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// Package consumer reads normalized-on-write LogRecords back off Redpanda
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// and batch-writes them into ClickHouse. Offsets are committed only after
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// a successful ClickHouse write, so a ClickHouse outage causes redelivery
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// on restart rather than silent data loss (at-least-once, not exactly-once
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// — Phase 0 doesn't dedupe on the consumer side).
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//
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// Moved out of internal/ (was ingest/internal/consumer) once
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// enterprise/cmd/enterprise-ingest needed to run this same flush loop
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// against a per-tenant chWriter -- see clickhousewriter's doc comment
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// for why (same Go internal/-visibility reasoning as every other
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// package this phase moved out of internal/ for a cross-module
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// import). Each record's TenantID (Record.TenantID below) is read from
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// the tenant_id Kafka message header grpcserver.TenantIDHeaderKey
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// documents -- empty when no TenantResolver was configured for the
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// PushBatch call that produced it, exactly as before per-tenant ingest
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// credentials existed. What a chWriter implementation *does* with that
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// tag varies: ingest/cmd/ingest's single-tenant clickhousewriter.Writer
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// ignores it (writes everything to its one configured database, per
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// Phase 0-3 behavior, unchanged); enterprise/internal/chwriter.Registry
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// (only ever wired into enterprise/cmd/enterprise-ingest, never this
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// core binary) routes each record to its tenant's dedicated ClickHouse
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// database instead.
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package consumer
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import (
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"context"
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"log/slog"
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"time"
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"github.com/segmentio/kafka-go"
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"google.golang.org/protobuf/proto"
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logsv1 "github.com/sentry/sentry/proto/sentry/logs/v1"
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)
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// TenantIDHeaderKey mirrors ingest/internal/grpcserver.TenantIDHeaderKey
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// -- kept as its own constant (not an import of grpcserver, which is
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// the agent-facing *producer* side, a different concern from this
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// package's consumer side) so this package's dependency list stays
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// narrow. Both must name the same literal; a mismatch would silently
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// stop tenant_id from ever reaching a consumer, so grpcserver's own
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// doc comment on TenantIDHeaderKey cross-references this one.
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const TenantIDHeaderKey = "tenant_id"
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// Record pairs a parsed LogRecord with the tenant it was tagged with at
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// ingest time (see the package doc comment).
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type Record struct {
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TenantID string
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Record *logsv1.LogRecord
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}
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// chWriter is the subset of a ClickHouse writer this package depends
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// on, kept as an interface so the flush loop is unit-testable without a
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// real ClickHouse connection, and so both the single-tenant
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// (clickhousewriter.Writer, adapted) and multi-tenant
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// (enterprise/internal/chwriter.Registry) implementations can share
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// this exact same consumer loop.
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type chWriter interface {
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WriteBatch(ctx context.Context, records []Record) error
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}
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// reader is the subset of *kafka.Reader used here, as an interface so the
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// flush/commit logic can be tested against a fake without a real broker.
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type reader interface {
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FetchMessage(ctx context.Context) (kafka.Message, error)
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CommitMessages(ctx context.Context, msgs ...kafka.Message) error
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Close() error
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}
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// Config is deliberately a local type, not ingest/internal/config's
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// RedpandaConfig/BatchConfig -- same "this package must be importable
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// from enterprise/, so it can't depend on ingest/internal/..." reasoning
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// as clickhousewriter.Config.
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type Config struct {
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Brokers []string
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Topic string
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ConsumerGroup string
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BatchMaxSize int
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FlushIntervalMS int
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}
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type Consumer struct {
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logger *slog.Logger
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reader reader
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writer chWriter
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cfg Config
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}
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func New(logger *slog.Logger, cfg Config, w chWriter) *Consumer {
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r := kafka.NewReader(kafka.ReaderConfig{
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Brokers: cfg.Brokers,
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Topic: cfg.Topic,
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GroupID: cfg.ConsumerGroup,
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})
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return &Consumer{logger: logger, reader: r, writer: w, cfg: cfg}
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}
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func (c *Consumer) Run(ctx context.Context) error {
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defer c.reader.Close()
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flushInterval := time.Duration(c.cfg.FlushIntervalMS) * time.Millisecond
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ticker := time.NewTicker(flushInterval)
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defer ticker.Stop()
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msgCh := make(chan kafka.Message)
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fetchErrCh := make(chan error, 1)
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go func() {
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for {
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m, err := c.reader.FetchMessage(ctx)
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if err != nil {
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fetchErrCh <- err
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return
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}
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select {
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case msgCh <- m:
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case <-ctx.Done():
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return
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}
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}
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}()
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var records []Record
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var pending []kafka.Message
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flush := func() {
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if len(records) == 0 {
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return
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}
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if err := c.writer.WriteBatch(ctx, records); err != nil {
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c.logger.Error("clickhouse batch write failed, offsets not committed, will redeliver",
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"records", len(records), "error", err)
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} else if err := c.reader.CommitMessages(ctx, pending...); err != nil {
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c.logger.Error("committing offsets after clickhouse write", "error", err)
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} else {
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c.logger.Debug("batch flushed to clickhouse", "records", len(records))
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}
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records = records[:0]
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pending = pending[:0]
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}
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for {
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select {
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case <-ctx.Done():
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flush()
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return nil
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case err := <-fetchErrCh:
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flush()
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if ctx.Err() != nil {
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return nil
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}
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return err
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case <-ticker.C:
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flush()
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case m := <-msgCh:
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var rec logsv1.LogRecord
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if err := proto.Unmarshal(m.Value, &rec); err != nil {
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c.logger.Warn("skipping unparseable message", "error", err, "offset", m.Offset)
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if cerr := c.reader.CommitMessages(ctx, m); cerr != nil {
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c.logger.Error("committing offset for poison message", "error", cerr)
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}
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continue
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}
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records = append(records, Record{TenantID: tenantIDFromHeaders(m.Headers), Record: &rec})
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pending = append(pending, m)
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if len(records) >= c.cfg.BatchMaxSize {
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flush()
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}
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}
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}
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}
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func tenantIDFromHeaders(headers []kafka.Header) string {
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for _, h := range headers {
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if h.Key == TenantIDHeaderKey {
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return string(h.Value)
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}
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}
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return ""
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}
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@@ -0,0 +1,214 @@
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package consumer
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import (
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"context"
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"errors"
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"io"
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"log/slog"
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"sync"
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"testing"
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"time"
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"github.com/segmentio/kafka-go"
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"google.golang.org/protobuf/proto"
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logsv1 "github.com/sentry/sentry/proto/sentry/logs/v1"
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)
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type fakeReader struct {
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msgs chan kafka.Message
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mu sync.Mutex
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committed [][]kafka.Message
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}
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func newFakeReader() *fakeReader {
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return &fakeReader{msgs: make(chan kafka.Message, 16)}
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}
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func (f *fakeReader) push(m kafka.Message) { f.msgs <- m }
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func (f *fakeReader) FetchMessage(ctx context.Context) (kafka.Message, error) {
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select {
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case m := <-f.msgs:
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return m, nil
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case <-ctx.Done():
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return kafka.Message{}, ctx.Err()
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}
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}
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func (f *fakeReader) CommitMessages(_ context.Context, msgs ...kafka.Message) error {
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f.mu.Lock()
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defer f.mu.Unlock()
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f.committed = append(f.committed, msgs)
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return nil
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}
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func (f *fakeReader) Close() error { return nil }
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func (f *fakeReader) commitCount() int {
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f.mu.Lock()
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defer f.mu.Unlock()
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return len(f.committed)
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}
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type fakeWriter struct {
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mu sync.Mutex
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batches [][]Record
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failNext bool
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}
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func (f *fakeWriter) WriteBatch(_ context.Context, records []Record) error {
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f.mu.Lock()
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defer f.mu.Unlock()
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if f.failNext {
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f.failNext = false
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return errors.New("simulated clickhouse failure")
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}
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batch := make([]Record, len(records))
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copy(batch, records)
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f.batches = append(f.batches, batch)
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return nil
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}
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func (f *fakeWriter) batchCount() int {
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f.mu.Lock()
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defer f.mu.Unlock()
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return len(f.batches)
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}
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func newTestConsumer(r reader, w chWriter, cfg Config) *Consumer {
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return &Consumer{
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logger: slog.New(slog.NewTextHandler(io.Discard, nil)),
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reader: r,
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writer: w,
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cfg: cfg,
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}
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}
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func mustMarshal(t *testing.T, rec *logsv1.LogRecord) []byte {
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t.Helper()
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b, err := proto.Marshal(rec)
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if err != nil {
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t.Fatalf("marshal: %v", err)
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}
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return b
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}
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func waitFor(t *testing.T, timeout time.Duration, cond func() bool) {
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t.Helper()
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deadline := time.Now().Add(timeout)
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for time.Now().Before(deadline) {
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if cond() {
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return
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}
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time.Sleep(5 * time.Millisecond)
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}
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t.Fatal("condition not met before timeout")
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}
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func TestConsumerFlushesOnBatchSize(t *testing.T) {
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fr := newFakeReader()
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fw := &fakeWriter{}
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c := newTestConsumer(fr, fw, Config{BatchMaxSize: 2, FlushIntervalMS: 60_000})
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ctx, cancel := context.WithCancel(context.Background())
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defer cancel()
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done := make(chan error, 1)
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go func() { done <- c.Run(ctx) }()
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fr.push(kafka.Message{Value: mustMarshal(t, &logsv1.LogRecord{Message: "a"})})
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fr.push(kafka.Message{Value: mustMarshal(t, &logsv1.LogRecord{Message: "b"})})
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waitFor(t, time.Second, func() bool { return fw.batchCount() == 1 })
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fw.mu.Lock()
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if len(fw.batches[0]) != 2 {
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t.Fatalf("expected batch of 2 records, got %d", len(fw.batches[0]))
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}
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fw.mu.Unlock()
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waitFor(t, time.Second, func() bool { return fr.commitCount() == 1 })
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}
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func TestConsumerFlushesOnTimeout(t *testing.T) {
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fr := newFakeReader()
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fw := &fakeWriter{}
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c := newTestConsumer(fr, fw, Config{BatchMaxSize: 1000, FlushIntervalMS: 20})
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ctx, cancel := context.WithCancel(context.Background())
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defer cancel()
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done := make(chan error, 1)
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go func() { done <- c.Run(ctx) }()
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fr.push(kafka.Message{Value: mustMarshal(t, &logsv1.LogRecord{Message: "only-one"})})
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waitFor(t, time.Second, func() bool { return fw.batchCount() == 1 })
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fw.mu.Lock()
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if len(fw.batches[0]) != 1 {
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t.Fatalf("expected batch of 1 record, got %d", len(fw.batches[0]))
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}
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fw.mu.Unlock()
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}
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func TestConsumerDoesNotCommitOnWriteFailure(t *testing.T) {
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fr := newFakeReader()
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fw := &fakeWriter{failNext: true}
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c := newTestConsumer(fr, fw, Config{BatchMaxSize: 1, FlushIntervalMS: 60_000})
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ctx, cancel := context.WithCancel(context.Background())
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defer cancel()
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done := make(chan error, 1)
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go func() { done <- c.Run(ctx) }()
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fr.push(kafka.Message{Value: mustMarshal(t, &logsv1.LogRecord{Message: "will-fail"})})
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// Give the flush a moment to run and fail.
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time.Sleep(100 * time.Millisecond)
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if got := fr.commitCount(); got != 0 {
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t.Fatalf("expected no commits after a failed clickhouse write, got %d", got)
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}
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// The batch was attempted even though writer returned an error.
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if fw.batchCount() != 0 {
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t.Fatalf("fakeWriter should not record a failed batch, got %d recorded", fw.batchCount())
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}
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}
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// TestConsumerExtractsTenantIDFromHeader is the read-side half of the
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// producer/consumer tenant_id contract -- ingest/internal/grpcserver
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// attaches this header on the way in; this proves the consumer reads it
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// back correctly (and that a message with no header at all -- the
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// single-tenant/no-resolver case -- gets an empty TenantID, not an
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// error).
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func TestConsumerExtractsTenantIDFromHeader(t *testing.T) {
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fr := newFakeReader()
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fw := &fakeWriter{}
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c := newTestConsumer(fr, fw, Config{BatchMaxSize: 2, FlushIntervalMS: 60_000})
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ctx, cancel := context.WithCancel(context.Background())
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defer cancel()
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go func() { _ = c.Run(ctx) }()
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fr.push(kafka.Message{
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Value: mustMarshal(t, &logsv1.LogRecord{Message: "tagged"}),
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Headers: []kafka.Header{{Key: TenantIDHeaderKey, Value: []byte("acme")}},
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})
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fr.push(kafka.Message{Value: mustMarshal(t, &logsv1.LogRecord{Message: "untagged"})})
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waitFor(t, time.Second, func() bool { return fw.batchCount() == 1 })
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fw.mu.Lock()
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defer fw.mu.Unlock()
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byMessage := map[string]string{}
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for _, r := range fw.batches[0] {
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byMessage[r.Record.GetMessage()] = r.TenantID
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}
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if byMessage["tagged"] != "acme" {
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t.Fatalf("TenantID for the tagged message = %q, want acme", byMessage["tagged"])
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}
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if byMessage["untagged"] != "" {
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t.Fatalf("TenantID for the untagged message = %q, want empty", byMessage["untagged"])
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}
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}
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Reference in New Issue
Block a user