snapshot of https://github.com/seaweedfs/seaweedfs.git (master, 2026-09-16; blobs > 131072B omitted)
Some checks failed
go: build dev binaries / cleanup (push) Successful in 4s
Codespell / Check for spelling errors (push) Failing after 3s
docker: build dev containers / build-rust-binaries (amd64, x86_64-unknown-linux-musl) (push) Failing after 3s
docker: build dev containers / build-dev-containers (push) Has been skipped
docker: build dev containers / build-rust-binaries (arm64, true, aarch64-unknown-linux-musl) (push) Failing after 3s
End to End / FUSE Mount (push) Failing after 2s
EC Integration Tests / EC Integration Tests (push) Failing after 30s
FUSE DLM Integration Tests / FUSE DLM Integration Tests (push) Failing after 3s
FUSE Volume Server Failover Tests / FUSE Volume Server Failover (push) Failing after 3s
FUSE Integration Tests / FUSE Integration Testing (push) Failing after 2s
FUSE P2P Peer Chunk Sharing Integration Tests / FUSE P2P Peer Chunk Sharing (push) Failing after 3s
go: build binary / Go Vet (push) Failing after 2s
go: build binary / Go Vet 32-bit (push) Failing after 3s
go: build binary / Build (push) Failing after 4s
go: build binary / Build cross-platform (freebsd/amd64) (push) Failing after 3s
go: build binary / Build cross-platform (windows/amd64) (push) Failing after 3s
go: build binary / Build cross-platform (darwin/arm64) (push) Failing after 3s
go: build binary / Build cross-platform (windows/arm64) (push) Failing after 3s
go: build binary / Test (push) Failing after 2s
go: build binary / Test 32-bit (push) Failing after 3s
helm: lint and test charts / lint-test (push) Failing after 3s
Java Client Integration Tests / Java Integration Tests (11) (push) Failing after 3s
Java Client Integration Tests / Java Integration Tests (17) (push) Failing after 3s
go: build dev binaries / build_dev_linux_windows (amd64, linux) (push) Failing after 2s
go: build dev binaries / build_dev_linux_windows (amd64, windows) (push) Failing after 3s
go: build dev binaries / build_dev_darwin (amd64, darwin) (push) Has been skipped
go: build dev binaries / build_dev_darwin (arm64, darwin) (push) Has been skipped
Java Client Unit Tests / Java Unit Tests (11) (push) Failing after 3s
Java Client Unit Tests / Java Unit Tests (17) (push) Failing after 2s
Java Client Unit Tests / Java Unit Tests (21) (push) Failing after 3s
Java Client Unit Tests / Java Unit Tests (8) (push) Failing after 3s
Kafka Quick Test (Load Test with Schema Registry) / Kafka Client Load Test (Quick) (push) Failing after 3s
Kafka Gateway Tests / Kafka Unit Tests (unit-tests-1) (push) Failing after 11s
Kafka Gateway Tests / Kafka Integration Tests (Critical) (integration-1) (push) Failing after 3s
Kafka Gateway Tests / Kafka End-to-End Tests (with SMQ) (e2e-1) (push) Failing after 3s
Kafka Gateway Tests / Kafka Consumer Group Tests (Highly Isolated) (consumer-group-1) (push) Failing after 2s
Kafka Gateway Tests / Kafka Client Compatibility (with SMQ) (client-compat-1) (push) Failing after 3s
Kafka Gateway Tests / Kafka SMQ Integration Tests (Full Stack) (smq-integration-1) (push) Failing after 3s
Kafka Gateway Tests / Kafka Protocol Tests (Isolated) (protocol-1) (push) Failing after 3s
KMS Tests / KMS Provider Integration Tests (push) Failing after 2s
KMS Tests / S3 KMS End-to-End Tests (push) Failing after 3s
Master Cold Start Tests / Master Cold Start Tests (push) Failing after 4s
Metadata Subscribe Integration Tests / Metadata Subscribe Integration Tests (push) Failing after 3s
Multi-Master Tests / Multi-Master Failover Tests (push) Failing after 3s
Performance / CPU and Heap Profile (push) Failing after 2s
Performance / S3 Read/Write Benchmark (rust volume) (push) Failing after 3s
pjdfstest POSIX Compliance / pjdfstest (push) Failing after 2s
Plugin Worker Integration Tests / Plugin Worker: erasure_coding (push) Failing after 3s
Plugin Worker Integration Tests / Plugin Worker: vacuum (push) Failing after 3s
Rust Volume Server Tests / Rust Integration Tests (push) Failing after 3s
Rust Volume Server Tests / Go Tests with Rust Volume (grpc - Shard 1) (push) Failing after 2s
Rust Volume Server Tests / Go Tests with Rust Volume (http - Shard 1) (push) Failing after 3s
Rust Volume Server Tests / Go Tests with Rust Volume (grpc - Shard 2) (push) Failing after 3s
Rust Volume Server Tests / Go Tests with Rust Volume (http - Shard 2) (push) Failing after 3s
Rust Volume Server Tests / Go Tests with Rust Volume (grpc - Shard 3) (push) Failing after 3s
S3 IAM Integration Tests / S3 IAM Distributed Tests (push) Failing after 2s
S3 IAM Integration Tests / S3 IAM Performance Tests (push) Failing after 3s
Performance / Throughput Benchmark (go volume) (push) Failing after 3s
Performance / Throughput Benchmark (rust volume) (push) Failing after 2s
Performance / S3 Read/Write Benchmark (go volume) (push) Failing after 3s
Plugin Worker Integration Tests / Plugin Worker: volume_balance (push) Failing after 3s
PostgreSQL Gateway Tests / PostgreSQL Basic Tests (push) Failing after 3s
Rust Volume Server Tests / Rust Unit Tests (push) Failing after 2s
Rust Volume Server Tests / Go Tests with Rust Volume (http - Shard 3) (push) Failing after 3s
Rust Plugin Worker Tests / Rust Plugin Worker Build and Unit Tests (push) Failing after 3s
rust: build dev volume server binaries / cleanup (push) Successful in 3s
S3 ETag and ACL Tests / S3 ETag + ACL Integration Tests (push) Failing after 3s
S3 IAM Integration Tests / IAM Unit Tests (push) Failing after 3s
S3 IAM Integration Tests / S3 IAM Integration Tests (advanced) (push) Failing after 3s
S3 IAM Integration Tests / S3 IAM Integration Tests (basic) (push) Failing after 2s
S3 IAM Integration Tests / S3 IAM Integration Tests (group) (push) Failing after 3s
S3 IAM Integration Tests / S3 IAM Integration Tests (policy-enforcement) (push) Failing after 2s
S3 IAM Integration Tests / S3 IAM Integration Tests (sts) (push) Failing after 4s
S3 Keycloak Integration Tests / S3 Keycloak Integration Tests (push) Failing after 3s
S3 PyArrow Parquet Tests / PyArrow Parquet Tests (Python 3.11) (push) Failing after 3s
S3 PyArrow Parquet Tests / Go Unit Tests (Implicit Directory) (push) Has been cancelled
S3 PyArrow Parquet Tests / PyArrow Parquet Tests (Python 3.12) (push) Has been cancelled
rust: build dev volume server binaries / build-rust-volume-dev-darwin (darwin-amd64, x86_64-apple-darwin) (push) Has been cancelled
rust: build dev volume server binaries / build-rust-volume-dev-darwin (darwin-arm64, aarch64-apple-darwin) (push) Has been cancelled
rust: build dev volume server binaries / build-rust-volume-dev-linux (linux-amd64, x86_64-unknown-linux-gnu) (push) Has been cancelled
S3 PyArrow Parquet Tests / PyArrow Parquet Tests (Python 3.9) (push) Has been cancelled
S3 Proxy Signature Tests / S3 Proxy Signature Verification Tests (push) Has been cancelled
S3 SDK V2 Route Disambiguation Tests / S3 SDK V2 Routing Tests (push) Has been cancelled
S3 SSE Tests / S3 SSE Integration Tests (quick) (push) Has been cancelled
S3 SSE Tests / S3 SSE Compatibility Test (push) Has been cancelled
S3 SSE Tests / S3 SSE Metadata Persistence Test (push) Has been cancelled
S3 SSE Tests / S3 SSE Copy Operations Test (push) Has been cancelled
S3 SSE Tests / S3 SSE Multipart Upload Test (push) Has been cancelled
S3 SSE Tests / S3 SSE Performance Test (push) Has been cancelled
S3 SSE Tests / S3 Volume Encryption Test (push) Has been cancelled
S3 SSE Tests / S3 SSE Integration Tests (comprehensive) (push) Has been cancelled
Spark Integration Tests / Spark Integration Tests (push) Failing after 2s
Telemetry Integration Tests / telemetry-integration-test (push) Failing after 3s
Volume Server Integration Tests / Volume Server Integration Tests (grpc - Shard 1) (push) Failing after 3s
Volume Server Integration Tests / Volume Server Integration Tests (http - Shard 1) (push) Failing after 3s
Ceph S3 tests / Basic S3 tests (KV store) (push) Has been cancelled
Ceph S3 tests / S3 Versioning & Object Lock tests (push) Has been cancelled
S3 Policy Integration Tests / S3 Policy Unit Tests (push) Failing after 3s
Ceph S3 tests / S3 CORS tests (push) Has been cancelled
Ceph S3 tests / SeaweedFS Custom S3 Copy tests (push) Has been cancelled
Ceph S3 tests / Basic S3 tests (SQL store) (push) Has been cancelled
test s3 over https using aws-cli / awscli-tests (push) Has been cancelled
TLS Rotation Integration Tests / TLS Rotation Integration Tests (push) Has been cancelled
Vacuum Integration Tests / Vacuum Integration Tests (push) Has been cancelled
S3 Policy Integration Tests / S3 Policy Variables Integration Tests (push) Failing after 3s
S3 Policy Integration Tests / S3 Policy Enforcement Integration Tests (advanced-policy) (push) Failing after 3s
S3 Policy Integration Tests / S3 Policy Enforcement Integration Tests (basic-policy) (push) Failing after 2s
S3 Policy Integration Tests / S3 Policy Enforcement Integration Tests (contextual-policy) (push) Failing after 4s
S3 Policy Integration Tests / Trusted Proxy Detection Tests (push) Failing after 2s
S3 Policy Integration Tests / S3 Policy Shell Integration Tests (push) Failing after 3s
Samba on FUSE Integration / samba-integration (push) Failing after 2s
SFTP Integration Tests / SFTP Integration Testing (push) Failing after 3s
terraform: validate and test modules / fmt, validate, plan-level tests (push) Failing after 3s
terraform: validate and test modules / local cluster smoke test (real weed) (push) Failing after 2s
Volume Server Integration Tests / Volume Server Integration Tests (grpc - Shard 3) (push) Failing after 3s
Volume Server Integration Tests / Volume Server Integration Tests (grpc - Shard 2) (push) Failing after 3s
Volume Server Integration Tests / Volume Server Integration Tests (http - Shard 2) (push) Failing after 2s
Volume Server Integration Tests / Volume Server Integration Tests (http - Shard 3) (push) Failing after 5s
mount: windows conformance / WinFsp conformance (push) Has been cancelled
mount: windows / Mount on Windows (push) Has been cancelled

This commit is contained in:
upstream-mirror
2026-09-16 03:23:42 +05:00
commit 89f5be005d
3997 changed files with 961970 additions and 0 deletions

View File

@@ -0,0 +1,361 @@
package config
import (
"fmt"
"os"
"strconv"
"strings"
"time"
"gopkg.in/yaml.v3"
)
// Config represents the complete load test configuration
type Config struct {
TestMode string `yaml:"test_mode"`
Duration time.Duration `yaml:"duration"`
Kafka KafkaConfig `yaml:"kafka"`
SchemaRegistry SchemaRegistryConfig `yaml:"schema_registry"`
Producers ProducersConfig `yaml:"producers"`
Consumers ConsumersConfig `yaml:"consumers"`
Topics TopicsConfig `yaml:"topics"`
Schemas SchemasConfig `yaml:"schemas"`
Metrics MetricsConfig `yaml:"metrics"`
Scenarios ScenariosConfig `yaml:"scenarios"`
Chaos ChaosConfig `yaml:"chaos"`
Output OutputConfig `yaml:"output"`
Logging LoggingConfig `yaml:"logging"`
}
type KafkaConfig struct {
BootstrapServers []string `yaml:"bootstrap_servers"`
SecurityProtocol string `yaml:"security_protocol"`
SASLMechanism string `yaml:"sasl_mechanism"`
SASLUsername string `yaml:"sasl_username"`
SASLPassword string `yaml:"sasl_password"`
}
type SchemaRegistryConfig struct {
URL string `yaml:"url"`
Auth struct {
Username string `yaml:"username"`
Password string `yaml:"password"`
} `yaml:"auth"`
}
type ProducersConfig struct {
Count int `yaml:"count"`
MessageRate int `yaml:"message_rate"`
MessageSize int `yaml:"message_size"`
BatchSize int `yaml:"batch_size"`
LingerMs int `yaml:"linger_ms"`
CompressionType string `yaml:"compression_type"`
Acks string `yaml:"acks"`
Retries int `yaml:"retries"`
RetryBackoffMs int `yaml:"retry_backoff_ms"`
RequestTimeoutMs int `yaml:"request_timeout_ms"`
DeliveryTimeoutMs int `yaml:"delivery_timeout_ms"`
KeyDistribution string `yaml:"key_distribution"`
ValueType string `yaml:"value_type"` // json, avro, protobuf, binary
SchemaFormat string `yaml:"schema_format"` // AVRO, JSON, PROTOBUF (schema registry format)
IncludeTimestamp bool `yaml:"include_timestamp"`
IncludeHeaders bool `yaml:"include_headers"`
}
type ConsumersConfig struct {
Count int `yaml:"count"`
GroupPrefix string `yaml:"group_prefix"`
AutoOffsetReset string `yaml:"auto_offset_reset"`
EnableAutoCommit bool `yaml:"enable_auto_commit"`
AutoCommitIntervalMs int `yaml:"auto_commit_interval_ms"`
SessionTimeoutMs int `yaml:"session_timeout_ms"`
HeartbeatIntervalMs int `yaml:"heartbeat_interval_ms"`
MaxPollRecords int `yaml:"max_poll_records"`
MaxPollIntervalMs int `yaml:"max_poll_interval_ms"`
FetchMinBytes int `yaml:"fetch_min_bytes"`
FetchMaxBytes int `yaml:"fetch_max_bytes"`
FetchMaxWaitMs int `yaml:"fetch_max_wait_ms"`
}
type TopicsConfig struct {
Count int `yaml:"count"`
Prefix string `yaml:"prefix"`
Partitions int `yaml:"partitions"`
ReplicationFactor int `yaml:"replication_factor"`
CleanupPolicy string `yaml:"cleanup_policy"`
RetentionMs int64 `yaml:"retention_ms"`
SegmentMs int64 `yaml:"segment_ms"`
}
type SchemaConfig struct {
Type string `yaml:"type"`
Schema string `yaml:"schema"`
}
type SchemasConfig struct {
Enabled bool `yaml:"enabled"`
RegistryTimeoutMs int `yaml:"registry_timeout_ms"`
UserEvent SchemaConfig `yaml:"user_event"`
Transaction SchemaConfig `yaml:"transaction"`
}
type MetricsConfig struct {
Enabled bool `yaml:"enabled"`
CollectionInterval time.Duration `yaml:"collection_interval"`
PrometheusPort int `yaml:"prometheus_port"`
TrackLatency bool `yaml:"track_latency"`
TrackThroughput bool `yaml:"track_throughput"`
TrackErrors bool `yaml:"track_errors"`
TrackConsumerLag bool `yaml:"track_consumer_lag"`
LatencyPercentiles []float64 `yaml:"latency_percentiles"`
}
type ScenarioConfig struct {
ProducerRate int `yaml:"producer_rate"`
RampUpTime time.Duration `yaml:"ramp_up_time"`
SteadyDuration time.Duration `yaml:"steady_duration"`
RampDownTime time.Duration `yaml:"ramp_down_time"`
BaseRate int `yaml:"base_rate"`
BurstRate int `yaml:"burst_rate"`
BurstDuration time.Duration `yaml:"burst_duration"`
BurstInterval time.Duration `yaml:"burst_interval"`
StartRate int `yaml:"start_rate"`
EndRate int `yaml:"end_rate"`
RampDuration time.Duration `yaml:"ramp_duration"`
StepDuration time.Duration `yaml:"step_duration"`
}
type ScenariosConfig struct {
SteadyLoad ScenarioConfig `yaml:"steady_load"`
BurstLoad ScenarioConfig `yaml:"burst_load"`
RampTest ScenarioConfig `yaml:"ramp_test"`
}
type ChaosConfig struct {
Enabled bool `yaml:"enabled"`
ProducerFailureRate float64 `yaml:"producer_failure_rate"`
ConsumerFailureRate float64 `yaml:"consumer_failure_rate"`
NetworkPartitionProbability float64 `yaml:"network_partition_probability"`
BrokerRestartInterval time.Duration `yaml:"broker_restart_interval"`
}
type OutputConfig struct {
ResultsDir string `yaml:"results_dir"`
ExportPrometheus bool `yaml:"export_prometheus"`
ExportCSV bool `yaml:"export_csv"`
ExportJSON bool `yaml:"export_json"`
RealTimeStats bool `yaml:"real_time_stats"`
StatsInterval time.Duration `yaml:"stats_interval"`
}
type LoggingConfig struct {
Level string `yaml:"level"`
Format string `yaml:"format"`
EnableKafkaLogs bool `yaml:"enable_kafka_logs"`
}
// Load reads and parses the configuration file
func Load(configFile string) (*Config, error) {
data, err := os.ReadFile(configFile)
if err != nil {
return nil, fmt.Errorf("failed to read config file %s: %w", configFile, err)
}
var cfg Config
if err := yaml.Unmarshal(data, &cfg); err != nil {
return nil, fmt.Errorf("failed to parse config file %s: %w", configFile, err)
}
// Apply default values
cfg.setDefaults()
// Apply environment variable overrides
cfg.applyEnvOverrides()
return &cfg, nil
}
// ApplyOverrides applies command-line flag overrides
func (c *Config) ApplyOverrides(testMode string, duration time.Duration) {
if testMode != "" {
c.TestMode = testMode
}
if duration > 0 {
c.Duration = duration
}
}
// setDefaults sets default values for optional fields
func (c *Config) setDefaults() {
if c.TestMode == "" {
c.TestMode = "comprehensive"
}
if len(c.Kafka.BootstrapServers) == 0 {
c.Kafka.BootstrapServers = []string{"kafka-gateway:9093"}
}
if c.SchemaRegistry.URL == "" {
c.SchemaRegistry.URL = "http://schema-registry:8081"
}
// Schema support is always enabled since Kafka Gateway now enforces schema-first behavior
c.Schemas.Enabled = true
if c.Producers.Count == 0 {
c.Producers.Count = 10
}
if c.Consumers.Count == 0 {
c.Consumers.Count = 5
}
if c.Topics.Count == 0 {
c.Topics.Count = 5
}
if c.Topics.Prefix == "" {
c.Topics.Prefix = "loadtest-topic"
}
if c.Topics.Partitions == 0 {
c.Topics.Partitions = 4 // Default to 4 partitions
}
if c.Topics.ReplicationFactor == 0 {
c.Topics.ReplicationFactor = 1 // Default to 1 replica
}
if c.Consumers.GroupPrefix == "" {
c.Consumers.GroupPrefix = "loadtest-group"
}
if c.Output.ResultsDir == "" {
c.Output.ResultsDir = "/test-results"
}
if c.Metrics.CollectionInterval == 0 {
c.Metrics.CollectionInterval = 10 * time.Second
}
if c.Output.StatsInterval == 0 {
c.Output.StatsInterval = 30 * time.Second
}
}
// applyEnvOverrides applies environment variable overrides
func (c *Config) applyEnvOverrides() {
if servers := os.Getenv("KAFKA_BOOTSTRAP_SERVERS"); servers != "" {
c.Kafka.BootstrapServers = strings.Split(servers, ",")
}
if url := os.Getenv("SCHEMA_REGISTRY_URL"); url != "" {
c.SchemaRegistry.URL = url
}
if mode := os.Getenv("TEST_MODE"); mode != "" {
c.TestMode = mode
}
if duration := os.Getenv("TEST_DURATION"); duration != "" {
if d, err := time.ParseDuration(duration); err == nil {
c.Duration = d
}
}
if count := os.Getenv("PRODUCER_COUNT"); count != "" {
if i, err := strconv.Atoi(count); err == nil {
c.Producers.Count = i
}
}
if count := os.Getenv("CONSUMER_COUNT"); count != "" {
if i, err := strconv.Atoi(count); err == nil {
c.Consumers.Count = i
}
}
if rate := os.Getenv("MESSAGE_RATE"); rate != "" {
if i, err := strconv.Atoi(rate); err == nil {
c.Producers.MessageRate = i
}
}
if size := os.Getenv("MESSAGE_SIZE"); size != "" {
if i, err := strconv.Atoi(size); err == nil {
c.Producers.MessageSize = i
}
}
if count := os.Getenv("TOPIC_COUNT"); count != "" {
if i, err := strconv.Atoi(count); err == nil {
c.Topics.Count = i
}
}
if partitions := os.Getenv("PARTITIONS_PER_TOPIC"); partitions != "" {
if i, err := strconv.Atoi(partitions); err == nil {
c.Topics.Partitions = i
}
}
if valueType := os.Getenv("VALUE_TYPE"); valueType != "" {
c.Producers.ValueType = valueType
}
if schemaFormat := os.Getenv("SCHEMA_FORMAT"); schemaFormat != "" {
c.Producers.SchemaFormat = schemaFormat
}
if enabled := os.Getenv("SCHEMAS_ENABLED"); enabled != "" {
c.Schemas.Enabled = enabled == "true"
}
}
// GetTopicNames returns the list of topic names to use for testing
func (c *Config) GetTopicNames() []string {
topics := make([]string, c.Topics.Count)
for i := 0; i < c.Topics.Count; i++ {
topics[i] = fmt.Sprintf("%s-%d", c.Topics.Prefix, i)
}
return topics
}
// GetConsumerGroupNames returns the list of consumer group names
func (c *Config) GetConsumerGroupNames() []string {
groups := make([]string, c.Consumers.Count)
for i := 0; i < c.Consumers.Count; i++ {
groups[i] = fmt.Sprintf("%s-%d", c.Consumers.GroupPrefix, i)
}
return groups
}
// Validate validates the configuration
func (c *Config) Validate() error {
if c.TestMode != "producer" && c.TestMode != "consumer" && c.TestMode != "comprehensive" {
return fmt.Errorf("invalid test mode: %s", c.TestMode)
}
if len(c.Kafka.BootstrapServers) == 0 {
return fmt.Errorf("kafka bootstrap servers not specified")
}
if c.Producers.Count <= 0 && (c.TestMode == "producer" || c.TestMode == "comprehensive") {
return fmt.Errorf("producer count must be greater than 0 for producer or comprehensive tests")
}
if c.Consumers.Count <= 0 && (c.TestMode == "consumer" || c.TestMode == "comprehensive") {
return fmt.Errorf("consumer count must be greater than 0 for consumer or comprehensive tests")
}
if c.Topics.Count <= 0 {
return fmt.Errorf("topic count must be greater than 0")
}
if c.Topics.Partitions <= 0 {
return fmt.Errorf("partitions per topic must be greater than 0")
}
return nil
}

View File

@@ -0,0 +1,776 @@
package consumer
import (
"context"
"encoding/binary"
"encoding/json"
"fmt"
"log"
"os"
"strings"
"sync"
"time"
"github.com/IBM/sarama"
"github.com/linkedin/goavro/v2"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/config"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/metrics"
pb "github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/schema/pb"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/tracker"
"google.golang.org/protobuf/proto"
)
// Consumer represents a Kafka consumer for load testing
type Consumer struct {
id int
config *config.Config
metricsCollector *metrics.Collector
saramaConsumer sarama.ConsumerGroup
useConfluent bool // Always false, Sarama only
topics []string
consumerGroup string
avroCodec *goavro.Codec
// Schema format tracking per topic
schemaFormats map[string]string // topic -> schema format mapping (AVRO, JSON, PROTOBUF)
// Processing tracking
messagesProcessed int64
lastOffset map[string]map[int32]int64
offsetMutex sync.RWMutex
// Record tracking
tracker *tracker.Tracker
}
// New creates a new consumer instance
func New(cfg *config.Config, collector *metrics.Collector, id int, recordTracker *tracker.Tracker) (*Consumer, error) {
// All consumers share the same group for load balancing across partitions
consumerGroup := cfg.Consumers.GroupPrefix
c := &Consumer{
id: id,
config: cfg,
metricsCollector: collector,
topics: cfg.GetTopicNames(),
consumerGroup: consumerGroup,
useConfluent: false, // Use Sarama by default
lastOffset: make(map[string]map[int32]int64),
schemaFormats: make(map[string]string),
tracker: recordTracker,
}
// Initialize schema formats for each topic (must match producer logic)
// This mirrors the format distribution in cmd/loadtest/main.go registerSchemas()
for i, topic := range c.topics {
var schemaFormat string
if cfg.Producers.SchemaFormat != "" {
// Use explicit config if provided
schemaFormat = cfg.Producers.SchemaFormat
} else {
// Distribute across formats (same as producer)
switch i % 3 {
case 0:
schemaFormat = "AVRO"
case 1:
schemaFormat = "JSON"
case 2:
schemaFormat = "PROTOBUF"
}
}
c.schemaFormats[topic] = schemaFormat
log.Printf("Consumer %d: Topic %s will use schema format: %s", id, topic, schemaFormat)
}
// Initialize consumer based on configuration
if c.useConfluent {
if err := c.initConfluentConsumer(); err != nil {
return nil, fmt.Errorf("failed to initialize Confluent consumer: %w", err)
}
} else {
if err := c.initSaramaConsumer(); err != nil {
return nil, fmt.Errorf("failed to initialize Sarama consumer: %w", err)
}
}
// Initialize Avro codec if schemas are enabled
if cfg.Schemas.Enabled {
if err := c.initAvroCodec(); err != nil {
return nil, fmt.Errorf("failed to initialize Avro codec: %w", err)
}
}
log.Printf("Consumer %d initialized for group %s", id, consumerGroup)
return c, nil
}
// initSaramaConsumer initializes the Sarama consumer group
func (c *Consumer) initSaramaConsumer() error {
config := sarama.NewConfig()
// Enable Sarama debug logging to diagnose connection issues
sarama.Logger = log.New(os.Stdout, fmt.Sprintf("[Sarama Consumer %d] ", c.id), log.LstdFlags)
// Consumer configuration
config.Consumer.Return.Errors = true
config.Consumer.Offsets.Initial = sarama.OffsetOldest
if c.config.Consumers.AutoOffsetReset == "latest" {
config.Consumer.Offsets.Initial = sarama.OffsetNewest
}
// Auto commit configuration
config.Consumer.Offsets.AutoCommit.Enable = c.config.Consumers.EnableAutoCommit
config.Consumer.Offsets.AutoCommit.Interval = time.Duration(c.config.Consumers.AutoCommitIntervalMs) * time.Millisecond
// Session and heartbeat configuration
config.Consumer.Group.Session.Timeout = time.Duration(c.config.Consumers.SessionTimeoutMs) * time.Millisecond
config.Consumer.Group.Heartbeat.Interval = time.Duration(c.config.Consumers.HeartbeatIntervalMs) * time.Millisecond
// Fetch configuration
config.Consumer.Fetch.Min = int32(c.config.Consumers.FetchMinBytes)
config.Consumer.Fetch.Default = 10 * 1024 * 1024 // 10MB per partition (increased from 1MB default)
config.Consumer.Fetch.Max = int32(c.config.Consumers.FetchMaxBytes)
config.Consumer.MaxWaitTime = time.Duration(c.config.Consumers.FetchMaxWaitMs) * time.Millisecond
config.Consumer.MaxProcessingTime = time.Duration(c.config.Consumers.MaxPollIntervalMs) * time.Millisecond
// Channel buffer sizes for concurrent partition consumption
config.ChannelBufferSize = 256 // Increase from default 256 to allow more buffering
// Enable concurrent partition fetching by increasing the number of broker connections
// This allows Sarama to fetch from multiple partitions in parallel
config.Net.MaxOpenRequests = 20 // Increase from default 5 to allow 20 concurrent requests
// Connection retry and timeout configuration
config.Net.DialTimeout = 30 * time.Second // Increase from default 30s
config.Net.ReadTimeout = 30 * time.Second // Increase from default 30s
config.Net.WriteTimeout = 30 * time.Second // Increase from default 30s
config.Metadata.Retry.Max = 5 // Retry metadata fetch up to 5 times
config.Metadata.Retry.Backoff = 500 * time.Millisecond
config.Metadata.Timeout = 30 * time.Second // Increase metadata timeout
// Version
config.Version = sarama.V2_8_0_0
// CRITICAL: Set unique ClientID to ensure each consumer gets a unique member ID
// Without this, all consumers from the same process get the same member ID and only 1 joins!
// Sarama uses ClientID as part of the member ID generation
// Use consumer ID directly - no timestamp needed since IDs are already unique per process
config.ClientID = fmt.Sprintf("loadtest-consumer-%d", c.id)
log.Printf("Consumer %d: Setting Sarama ClientID to: %s", c.id, config.ClientID)
// Create consumer group
consumerGroup, err := sarama.NewConsumerGroup(c.config.Kafka.BootstrapServers, c.consumerGroup, config)
if err != nil {
return fmt.Errorf("failed to create Sarama consumer group: %w", err)
}
c.saramaConsumer = consumerGroup
return nil
}
// initConfluentConsumer initializes the Confluent Kafka Go consumer
func (c *Consumer) initConfluentConsumer() error {
// Confluent consumer disabled, using Sarama only
return fmt.Errorf("confluent consumer not enabled")
}
// initAvroCodec initializes the Avro codec for schema-based messages
func (c *Consumer) initAvroCodec() error {
// Use the LoadTestMessage schema (matches what producer uses)
loadTestSchema := `{
"type": "record",
"name": "LoadTestMessage",
"namespace": "com.seaweedfs.loadtest",
"fields": [
{"name": "id", "type": "string"},
{"name": "timestamp", "type": "long"},
{"name": "producer_id", "type": "int"},
{"name": "counter", "type": "long"},
{"name": "user_id", "type": "string"},
{"name": "event_type", "type": "string"},
{"name": "properties", "type": {"type": "map", "values": "string"}}
]
}`
codec, err := goavro.NewCodec(loadTestSchema)
if err != nil {
return fmt.Errorf("failed to create Avro codec: %w", err)
}
c.avroCodec = codec
return nil
}
// Run starts the consumer and consumes messages until the context is cancelled
func (c *Consumer) Run(ctx context.Context) {
log.Printf("Consumer %d starting for group %s", c.id, c.consumerGroup)
defer log.Printf("Consumer %d stopped", c.id)
if c.useConfluent {
c.runConfluentConsumer(ctx)
} else {
c.runSaramaConsumer(ctx)
}
}
// runSaramaConsumer runs the Sarama consumer group
func (c *Consumer) runSaramaConsumer(ctx context.Context) {
handler := &ConsumerGroupHandler{
consumer: c,
}
var wg sync.WaitGroup
// Start error handler
wg.Add(1)
go func() {
defer wg.Done()
for {
select {
case err, ok := <-c.saramaConsumer.Errors():
if !ok {
return
}
log.Printf("Consumer %d error: %v", c.id, err)
c.metricsCollector.RecordConsumerError()
case <-ctx.Done():
return
}
}
}()
// Start consumer group session
wg.Add(1)
go func() {
defer wg.Done()
for {
select {
case <-ctx.Done():
return
default:
if err := c.saramaConsumer.Consume(ctx, c.topics, handler); err != nil {
log.Printf("Consumer %d: Error consuming: %v", c.id, err)
c.metricsCollector.RecordConsumerError()
// Wait briefly before retrying (reduced from 5s to 1s for faster recovery)
select {
case <-time.After(1 * time.Second):
case <-ctx.Done():
return
}
}
}
}
}()
// Start lag monitoring
wg.Add(1)
go func() {
defer wg.Done()
c.monitorConsumerLag(ctx)
}()
// Wait for completion
<-ctx.Done()
log.Printf("Consumer %d: Context cancelled, shutting down", c.id)
wg.Wait()
}
// runConfluentConsumer runs the Confluent consumer
func (c *Consumer) runConfluentConsumer(ctx context.Context) {
// Confluent consumer disabled, using Sarama only
log.Printf("Consumer %d: Confluent consumer not enabled", c.id)
}
// processMessage processes a consumed message
func (c *Consumer) processMessage(topicPtr *string, partition int32, offset int64, key, value []byte) error {
topic := ""
if topicPtr != nil {
topic = *topicPtr
}
// Update offset tracking
c.updateOffset(topic, partition, offset)
// Decode message based on topic-specific schema format
var decodedMessage interface{}
var err error
// Determine schema format for this topic (if schemas are enabled)
var schemaFormat string
if c.config.Schemas.Enabled {
schemaFormat = c.schemaFormats[topic]
if schemaFormat == "" {
// Fallback to config if topic not in map
schemaFormat = c.config.Producers.ValueType
}
} else {
// No schemas, use global value type
schemaFormat = c.config.Producers.ValueType
}
// Decode message based on format
switch schemaFormat {
case "avro", "AVRO":
decodedMessage, err = c.decodeAvroMessage(value)
case "json", "JSON", "JSON_SCHEMA":
decodedMessage, err = c.decodeJSONSchemaMessage(value)
case "protobuf", "PROTOBUF":
decodedMessage, err = c.decodeProtobufMessage(value)
case "binary":
decodedMessage, err = c.decodeBinaryMessage(value)
default:
// Fallback to plain JSON
decodedMessage, err = c.decodeJSONMessage(value)
}
if err != nil {
return fmt.Errorf("failed to decode message: %w", err)
}
// Note: Removed artificial delay to allow maximum throughput
// If you need to simulate processing time, add a configurable delay setting
// time.Sleep(time.Millisecond) // Minimal processing delay
// Record metrics
c.metricsCollector.RecordConsumedMessage(len(value))
c.messagesProcessed++
// Log progress
if c.id == 0 && c.messagesProcessed%1000 == 0 {
log.Printf("Consumer %d: Processed %d messages (latest: %s[%d]@%d)",
c.id, c.messagesProcessed, topic, partition, offset)
}
// Optional: Validate message content (for testing purposes)
if c.config.Chaos.Enabled {
if err := c.validateMessage(decodedMessage); err != nil {
log.Printf("Consumer %d: Message validation failed: %v", c.id, err)
}
}
return nil
}
// decodeJSONMessage decodes a JSON message
func (c *Consumer) decodeJSONMessage(value []byte) (interface{}, error) {
var message map[string]interface{}
if err := json.Unmarshal(value, &message); err != nil {
// DEBUG: Log the raw bytes when JSON parsing fails
log.Printf("Consumer %d: JSON decode failed. Length: %d, Raw bytes (hex): %x, Raw string: %q, Error: %v",
c.id, len(value), value, string(value), err)
return nil, err
}
return message, nil
}
// decodeAvroMessage decodes an Avro message (handles Confluent Wire Format)
func (c *Consumer) decodeAvroMessage(value []byte) (interface{}, error) {
if c.avroCodec == nil {
return nil, fmt.Errorf("Avro codec not initialized")
}
// Handle Confluent Wire Format when schemas are enabled
var avroData []byte
if c.config.Schemas.Enabled {
if len(value) < 5 {
return nil, fmt.Errorf("message too short for Confluent Wire Format: %d bytes", len(value))
}
// Check magic byte (should be 0)
if value[0] != 0 {
return nil, fmt.Errorf("invalid Confluent Wire Format magic byte: %d", value[0])
}
// Extract schema ID (bytes 1-4, big-endian)
schemaID := binary.BigEndian.Uint32(value[1:5])
_ = schemaID // TODO: Could validate schema ID matches expected schema
// Extract Avro data (bytes 5+)
avroData = value[5:]
} else {
// No wire format, use raw data
avroData = value
}
native, _, err := c.avroCodec.NativeFromBinary(avroData)
if err != nil {
return nil, fmt.Errorf("failed to decode Avro data: %w", err)
}
return native, nil
}
// decodeJSONSchemaMessage decodes a JSON Schema message (handles Confluent Wire Format)
func (c *Consumer) decodeJSONSchemaMessage(value []byte) (interface{}, error) {
// Handle Confluent Wire Format when schemas are enabled
var jsonData []byte
if c.config.Schemas.Enabled {
if len(value) < 5 {
return nil, fmt.Errorf("message too short for Confluent Wire Format: %d bytes", len(value))
}
// Check magic byte (should be 0)
if value[0] != 0 {
return nil, fmt.Errorf("invalid Confluent Wire Format magic byte: %d", value[0])
}
// Extract schema ID (bytes 1-4, big-endian)
schemaID := binary.BigEndian.Uint32(value[1:5])
_ = schemaID // TODO: Could validate schema ID matches expected schema
// Extract JSON data (bytes 5+)
jsonData = value[5:]
} else {
// No wire format, use raw data
jsonData = value
}
// Decode JSON
var message map[string]interface{}
if err := json.Unmarshal(jsonData, &message); err != nil {
return nil, fmt.Errorf("failed to decode JSON data: %w", err)
}
return message, nil
}
// decodeProtobufMessage decodes a Protobuf message (handles Confluent Wire Format)
func (c *Consumer) decodeProtobufMessage(value []byte) (interface{}, error) {
// Handle Confluent Wire Format when schemas are enabled
var protoData []byte
if c.config.Schemas.Enabled {
if len(value) < 5 {
return nil, fmt.Errorf("message too short for Confluent Wire Format: %d bytes", len(value))
}
// Check magic byte (should be 0)
if value[0] != 0 {
return nil, fmt.Errorf("invalid Confluent Wire Format magic byte: %d", value[0])
}
// Extract schema ID (bytes 1-4, big-endian)
schemaID := binary.BigEndian.Uint32(value[1:5])
_ = schemaID // TODO: Could validate schema ID matches expected schema
// Extract Protobuf data (bytes 5+)
protoData = value[5:]
} else {
// No wire format, use raw data
protoData = value
}
// Unmarshal protobuf message
var protoMsg pb.LoadTestMessage
if err := proto.Unmarshal(protoData, &protoMsg); err != nil {
return nil, fmt.Errorf("failed to unmarshal Protobuf data: %w", err)
}
// Convert to map for consistency with other decoders
return map[string]interface{}{
"id": protoMsg.Id,
"timestamp": protoMsg.Timestamp,
"producer_id": protoMsg.ProducerId,
"counter": protoMsg.Counter,
"user_id": protoMsg.UserId,
"event_type": protoMsg.EventType,
"properties": protoMsg.Properties,
}, nil
}
// decodeBinaryMessage decodes a binary message
func (c *Consumer) decodeBinaryMessage(value []byte) (interface{}, error) {
if len(value) < 20 {
return nil, fmt.Errorf("binary message too short")
}
// Extract fields from the binary format:
// [producer_id:4][counter:8][timestamp:8][random_data:...]
producerID := int(value[0])<<24 | int(value[1])<<16 | int(value[2])<<8 | int(value[3])
var counter int64
for i := 0; i < 8; i++ {
counter |= int64(value[4+i]) << (56 - i*8)
}
var timestamp int64
for i := 0; i < 8; i++ {
timestamp |= int64(value[12+i]) << (56 - i*8)
}
return map[string]interface{}{
"producer_id": producerID,
"counter": counter,
"timestamp": timestamp,
"data_size": len(value),
}, nil
}
// validateMessage performs basic message validation
func (c *Consumer) validateMessage(message interface{}) error {
// This is a placeholder for message validation logic
// In a real load test, you might validate:
// - Message structure
// - Required fields
// - Data consistency
// - Schema compliance
if message == nil {
return fmt.Errorf("message is nil")
}
return nil
}
// updateOffset updates the last seen offset for lag calculation
func (c *Consumer) updateOffset(topic string, partition int32, offset int64) {
c.offsetMutex.Lock()
defer c.offsetMutex.Unlock()
if c.lastOffset[topic] == nil {
c.lastOffset[topic] = make(map[int32]int64)
}
c.lastOffset[topic][partition] = offset
}
// monitorConsumerLag monitors and reports consumer lag
func (c *Consumer) monitorConsumerLag(ctx context.Context) {
ticker := time.NewTicker(30 * time.Second)
defer ticker.Stop()
for {
select {
case <-ctx.Done():
return
case <-ticker.C:
c.reportConsumerLag()
}
}
}
// reportConsumerLag calculates and reports consumer lag
func (c *Consumer) reportConsumerLag() {
// This is a simplified lag calculation
// In a real implementation, you would query the broker for high water marks
c.offsetMutex.RLock()
defer c.offsetMutex.RUnlock()
for topic, partitions := range c.lastOffset {
for partition, _ := range partitions {
// For simplicity, assume lag is always 0 when we're consuming actively
// In a real test, you would compare against the high water mark
lag := int64(0)
c.metricsCollector.UpdateConsumerLag(c.consumerGroup, topic, partition, lag)
}
}
}
// Close closes the consumer and cleans up resources
func (c *Consumer) Close() error {
log.Printf("Consumer %d: Closing", c.id)
if c.saramaConsumer != nil {
return c.saramaConsumer.Close()
}
return nil
}
// ConsumerGroupHandler implements sarama.ConsumerGroupHandler
type ConsumerGroupHandler struct {
consumer *Consumer
}
// Setup is run at the beginning of a new session, before ConsumeClaim
func (h *ConsumerGroupHandler) Setup(session sarama.ConsumerGroupSession) error {
log.Printf("Consumer %d: Consumer group session setup", h.consumer.id)
// Log the generation ID and member ID for this session
log.Printf("Consumer %d: Generation=%d, MemberID=%s",
h.consumer.id, session.GenerationID(), session.MemberID())
// Log all assigned partitions and their starting offsets
assignments := session.Claims()
totalPartitions := 0
for topic, partitions := range assignments {
for _, partition := range partitions {
totalPartitions++
log.Printf("Consumer %d: ASSIGNED %s[%d]",
h.consumer.id, topic, partition)
}
}
log.Printf("Consumer %d: Total partitions assigned: %d", h.consumer.id, totalPartitions)
return nil
}
// Cleanup is run at the end of a session, once all ConsumeClaim goroutines have exited
// CRITICAL: Commit all marked offsets before partition reassignment to minimize duplicates
func (h *ConsumerGroupHandler) Cleanup(session sarama.ConsumerGroupSession) error {
log.Printf("Consumer %d: Consumer group session cleanup - committing final offsets before rebalance", h.consumer.id)
// Commit all marked offsets before releasing partitions
// This ensures that when partitions are reassigned to other consumers,
// they start from the last processed offset, minimizing duplicate reads
session.Commit()
log.Printf("Consumer %d: Cleanup complete - offsets committed", h.consumer.id)
return nil
}
// ConsumeClaim must start a consumer loop of ConsumerGroupClaim's Messages()
func (h *ConsumerGroupHandler) ConsumeClaim(session sarama.ConsumerGroupSession, claim sarama.ConsumerGroupClaim) error {
msgCount := 0
topic := claim.Topic()
partition := claim.Partition()
initialOffset := claim.InitialOffset()
lastTrackedOffset := int64(-1)
gapCount := 0
var gaps []string // Track gap ranges for detailed analysis
// Log the starting offset for this partition
log.Printf("Consumer %d: START consuming %s[%d] from offset %d (HWM=%d)",
h.consumer.id, topic, partition, initialOffset, claim.HighWaterMarkOffset())
startTime := time.Now()
lastLogTime := time.Now()
for {
select {
case message, ok := <-claim.Messages():
if !ok {
elapsed := time.Since(startTime)
// Log detailed gap analysis
gapSummary := "none"
if len(gaps) > 0 {
gapSummary = fmt.Sprintf("[%s]", strings.Join(gaps, ", "))
}
// Check if we consumed just a few messages before stopping
if msgCount <= 10 {
log.Printf("Consumer %d: CRITICAL - Messages() channel CLOSED early on %s[%d] after only %d messages at offset=%d (HWM=%d, gaps=%d %s)",
h.consumer.id, topic, partition, msgCount, lastTrackedOffset, claim.HighWaterMarkOffset()-1, gapCount, gapSummary)
} else {
log.Printf("Consumer %d: STOP consuming %s[%d] after %d messages (%.1f sec, %.1f msgs/sec, last offset=%d, HWM=%d, gaps=%d %s)",
h.consumer.id, topic, partition, msgCount, elapsed.Seconds(),
float64(msgCount)/elapsed.Seconds(), lastTrackedOffset, claim.HighWaterMarkOffset()-1, gapCount, gapSummary)
}
return nil
}
msgCount++
// Track gaps in offset sequence (indicates missed messages)
if lastTrackedOffset >= 0 && message.Offset != lastTrackedOffset+1 {
gap := message.Offset - lastTrackedOffset - 1
gapCount++
gapDesc := fmt.Sprintf("%d-%d", lastTrackedOffset+1, message.Offset-1)
gaps = append(gaps, gapDesc)
elapsed := time.Since(startTime)
log.Printf("Consumer %d: DEBUG offset gap in %s[%d] at %.1fs: offset %d -> %d (gap=%d messages, gapDesc=%s)",
h.consumer.id, topic, partition, elapsed.Seconds(), lastTrackedOffset, message.Offset, gap, gapDesc)
}
lastTrackedOffset = message.Offset
// Log progress every 500 messages OR every 5 seconds
now := time.Now()
if msgCount%500 == 0 || now.Sub(lastLogTime) > 5*time.Second {
elapsed := time.Since(startTime)
throughput := float64(msgCount) / elapsed.Seconds()
log.Printf("Consumer %d: %s[%d] progress: %d messages, offset=%d, HWM=%d, rate=%.1f msgs/sec, gaps=%d",
h.consumer.id, topic, partition, msgCount, message.Offset, claim.HighWaterMarkOffset(), throughput, gapCount)
lastLogTime = now
}
// Process the message
var key []byte
if message.Key != nil {
key = message.Key
}
if err := h.consumer.processMessage(&message.Topic, message.Partition, message.Offset, key, message.Value); err != nil {
log.Printf("Consumer %d: Error processing message at %s[%d]@%d: %v",
h.consumer.id, message.Topic, message.Partition, message.Offset, err)
h.consumer.metricsCollector.RecordConsumerError()
} else {
// Track consumed message
if h.consumer.tracker != nil {
h.consumer.tracker.TrackConsumed(tracker.Record{
Key: string(key),
Topic: message.Topic,
Partition: message.Partition,
Offset: message.Offset,
Timestamp: message.Timestamp.UnixNano(),
ConsumerID: h.consumer.id,
})
}
// Mark message as processed
session.MarkMessage(message, "")
// Commit offset frequently to minimize both message loss and duplicates
// Every 20 messages balances:
// - ~600 commits per 12k messages (reasonable overhead)
// - ~20 message loss window if consumer fails
// - Reduces duplicate reads from rebalancing
if msgCount%20 == 0 {
session.Commit()
}
}
case <-session.Context().Done():
elapsed := time.Since(startTime)
lastOffset := claim.HighWaterMarkOffset() - 1
gapSummary := "none"
if len(gaps) > 0 {
gapSummary = fmt.Sprintf("[%s]", strings.Join(gaps, ", "))
}
// Determine if we reached HWM
reachedHWM := lastTrackedOffset >= lastOffset
hwmStatus := "INCOMPLETE"
if reachedHWM {
hwmStatus := "COMPLETE"
_ = hwmStatus // Use it to avoid warning
}
// Calculate consumption rate for this partition
consumptionRate := float64(0)
if elapsed.Seconds() > 0 {
consumptionRate = float64(msgCount) / elapsed.Seconds()
}
// Log both normal and abnormal completions
if msgCount == 0 {
// Partition never got ANY messages - critical issue
log.Printf("Consumer %d: CRITICAL - NO MESSAGES from %s[%d] (HWM=%d, status=%s)",
h.consumer.id, topic, partition, claim.HighWaterMarkOffset()-1, hwmStatus)
} else if msgCount < 10 && msgCount > 0 {
// Very few messages then stopped - likely hung fetch
log.Printf("Consumer %d: HUNG FETCH on %s[%d]: only %d messages before stop at offset=%d (HWM=%d, rate=%.2f msgs/sec, gaps=%d %s)",
h.consumer.id, topic, partition, msgCount, lastTrackedOffset, claim.HighWaterMarkOffset()-1, consumptionRate, gapCount, gapSummary)
} else {
// Normal completion
log.Printf("Consumer %d: Context CANCELLED for %s[%d] after %d messages (%.1f sec, %.1f msgs/sec, last offset=%d, HWM=%d, status=%s, gaps=%d %s)",
h.consumer.id, topic, partition, msgCount, elapsed.Seconds(),
consumptionRate, lastTrackedOffset, claim.HighWaterMarkOffset()-1, hwmStatus, gapCount, gapSummary)
}
return nil
}
}
}
// Helper functions
func joinStrings(strs []string, sep string) string {
if len(strs) == 0 {
return ""
}
result := strs[0]
for i := 1; i < len(strs); i++ {
result += sep + strs[i]
}
return result
}

View File

@@ -0,0 +1,122 @@
package consumer
import (
"testing"
)
// TestConsumerStallingPattern is a REPRODUCER for the consumer stalling bug.
//
// This test simulates the exact pattern that causes consumers to stall:
// 1. Consumer reads messages in batches
// 2. Consumer commits offset after each batch
// 3. On next batch, consumer fetches offset+1 but gets empty response
// 4. Consumer stops fetching (BUG!)
//
// Expected: Consumer should retry and eventually get messages
// Actual (before fix): Consumer gives up silently
//
// To run this test against a real load test:
// 1. Start infrastructure: make start
// 2. Produce messages: make clean && rm -rf ./data && TEST_MODE=producer TEST_DURATION=30s make standard-test
// 3. Run reproducer: go test -v -run TestConsumerStallingPattern ./internal/consumer
//
// If the test FAILS, it reproduces the bug (consumer stalls before offset 1000)
// If the test PASSES, it means consumer successfully fetches all messages (bug fixed)
func TestConsumerStallingPattern(t *testing.T) {
t.Skip("REPRODUCER TEST: Requires running load test infrastructure. See comments for setup.")
// This test documents the exact stalling pattern:
// - Consumers consume messages 0-163, commit offset 163
// - Next iteration: fetch offset 164+
// - But fetch returns empty instead of data
// - Consumer stops instead of retrying
//
// The fix involves ensuring:
// 1. Offset+1 is calculated correctly after commit
// 2. Empty fetch doesn't mean "end of partition" (could be transient)
// 3. Consumer retries on empty fetch instead of giving up
// 4. Logging shows why fetch stopped
t.Logf("=== CONSUMER STALLING REPRODUCER ===")
t.Logf("")
t.Logf("Setup Steps:")
t.Logf("1. cd test/kafka/kafka-client-loadtest")
t.Logf("2. make clean && rm -rf ./data && make start")
t.Logf("3. TEST_MODE=producer TEST_DURATION=60s docker compose --profile loadtest up")
t.Logf(" (Let it run to produce ~3000 messages)")
t.Logf("4. Stop producers (Ctrl+C)")
t.Logf("5. Run this test: go test -v -run TestConsumerStallingPattern ./internal/consumer")
t.Logf("")
t.Logf("Expected Behavior:")
t.Logf("- Test should create consumer and consume all produced messages")
t.Logf("- Consumer should reach message count near HWM")
t.Logf("- No errors during consumption")
t.Logf("")
t.Logf("Bug Symptoms (before fix):")
t.Logf("- Consumer stops at offset ~160-500")
t.Logf("- No more messages fetched after commit")
t.Logf("- Test hangs or times out waiting for more messages")
t.Logf("- Consumer logs show: 'Consumer stops after offset X'")
t.Logf("")
t.Logf("Root Cause:")
t.Logf("- After committing offset N, fetch(N+1) returns empty")
t.Logf("- Consumer treats empty as 'end of partition' and stops")
t.Logf("- Should instead retry with exponential backoff")
t.Logf("")
t.Logf("Fix Verification:")
t.Logf("- If test PASSES: consumer fetches all messages, no stalling")
t.Logf("- If test FAILS: consumer stalls, reproducing the bug")
}
// TestOffsetPlusOneCalculation verifies offset arithmetic is correct
// This is a UNIT reproducer that can run standalone
func TestOffsetPlusOneCalculation(t *testing.T) {
testCases := []struct {
name string
committedOffset int64
expectedNextOffset int64
}{
{"Offset 0", 0, 1},
{"Offset 99", 99, 100},
{"Offset 163", 163, 164}, // The exact stalling point!
{"Offset 999", 999, 1000},
{"Large offset", 10000, 10001},
}
for _, tc := range testCases {
t.Run(tc.name, func(t *testing.T) {
// This is the critical calculation
nextOffset := tc.committedOffset + 1
if nextOffset != tc.expectedNextOffset {
t.Fatalf("OFFSET MATH BUG: committed=%d, next=%d (expected %d)",
tc.committedOffset, nextOffset, tc.expectedNextOffset)
}
t.Logf("✓ offset %d → next fetch at %d", tc.committedOffset, nextOffset)
})
}
}
// TestEmptyFetchShouldNotStopConsumer verifies consumer doesn't give up on empty fetch
// This is a LOGIC reproducer
func TestEmptyFetchShouldNotStopConsumer(t *testing.T) {
t.Run("EmptyFetchRetry", func(t *testing.T) {
// Scenario: Consumer committed offset 163, then fetches 164+
committedOffset := int64(163)
nextFetchOffset := committedOffset + 1
// First attempt: get empty (transient - data might not be available yet)
// WRONG behavior (bug): Consumer sees 0 bytes and stops
// wrongConsumerLogic := (firstFetchResult == 0) // gives up!
// CORRECT behavior: Consumer should retry
correctConsumerLogic := true // continues retrying
if !correctConsumerLogic {
t.Fatalf("Consumer incorrectly gave up after empty fetch at offset %d", nextFetchOffset)
}
t.Logf("✓ Empty fetch doesn't stop consumer, continues retrying")
})
}

View File

@@ -0,0 +1,353 @@
package metrics
import (
"fmt"
"io"
"sort"
"sync"
"sync/atomic"
"time"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/client_golang/prometheus/promauto"
)
// Collector handles metrics collection for the load test
type Collector struct {
// Atomic counters for thread-safe operations
messagesProduced int64
messagesConsumed int64
bytesProduced int64
bytesConsumed int64
producerErrors int64
consumerErrors int64
// Latency tracking
latencies []time.Duration
latencyMutex sync.RWMutex
// Consumer lag tracking
consumerLag map[string]int64
consumerLagMutex sync.RWMutex
// Test timing
startTime time.Time
// Prometheus metrics
prometheusMetrics *PrometheusMetrics
}
// PrometheusMetrics holds all Prometheus metric definitions
type PrometheusMetrics struct {
MessagesProducedTotal prometheus.Counter
MessagesConsumedTotal prometheus.Counter
BytesProducedTotal prometheus.Counter
BytesConsumedTotal prometheus.Counter
ProducerErrorsTotal prometheus.Counter
ConsumerErrorsTotal prometheus.Counter
MessageLatencyHistogram prometheus.Histogram
ProducerThroughput prometheus.Gauge
ConsumerThroughput prometheus.Gauge
ConsumerLagGauge *prometheus.GaugeVec
ActiveProducers prometheus.Gauge
ActiveConsumers prometheus.Gauge
}
// NewCollector creates a new metrics collector
func NewCollector() *Collector {
return &Collector{
startTime: time.Now(),
consumerLag: make(map[string]int64),
prometheusMetrics: &PrometheusMetrics{
MessagesProducedTotal: promauto.NewCounter(prometheus.CounterOpts{
Name: "kafka_loadtest_messages_produced_total",
Help: "Total number of messages produced",
}),
MessagesConsumedTotal: promauto.NewCounter(prometheus.CounterOpts{
Name: "kafka_loadtest_messages_consumed_total",
Help: "Total number of messages consumed",
}),
BytesProducedTotal: promauto.NewCounter(prometheus.CounterOpts{
Name: "kafka_loadtest_bytes_produced_total",
Help: "Total bytes produced",
}),
BytesConsumedTotal: promauto.NewCounter(prometheus.CounterOpts{
Name: "kafka_loadtest_bytes_consumed_total",
Help: "Total bytes consumed",
}),
ProducerErrorsTotal: promauto.NewCounter(prometheus.CounterOpts{
Name: "kafka_loadtest_producer_errors_total",
Help: "Total number of producer errors",
}),
ConsumerErrorsTotal: promauto.NewCounter(prometheus.CounterOpts{
Name: "kafka_loadtest_consumer_errors_total",
Help: "Total number of consumer errors",
}),
MessageLatencyHistogram: promauto.NewHistogram(prometheus.HistogramOpts{
Name: "kafka_loadtest_message_latency_seconds",
Help: "Message end-to-end latency in seconds",
Buckets: prometheus.ExponentialBuckets(0.001, 2, 15), // 1ms to ~32s
}),
ProducerThroughput: promauto.NewGauge(prometheus.GaugeOpts{
Name: "kafka_loadtest_producer_throughput_msgs_per_sec",
Help: "Current producer throughput in messages per second",
}),
ConsumerThroughput: promauto.NewGauge(prometheus.GaugeOpts{
Name: "kafka_loadtest_consumer_throughput_msgs_per_sec",
Help: "Current consumer throughput in messages per second",
}),
ConsumerLagGauge: promauto.NewGaugeVec(prometheus.GaugeOpts{
Name: "kafka_loadtest_consumer_lag_messages",
Help: "Consumer lag in messages",
}, []string{"consumer_group", "topic", "partition"}),
ActiveProducers: promauto.NewGauge(prometheus.GaugeOpts{
Name: "kafka_loadtest_active_producers",
Help: "Number of active producers",
}),
ActiveConsumers: promauto.NewGauge(prometheus.GaugeOpts{
Name: "kafka_loadtest_active_consumers",
Help: "Number of active consumers",
}),
},
}
}
// RecordProducedMessage records a successfully produced message
func (c *Collector) RecordProducedMessage(size int, latency time.Duration) {
atomic.AddInt64(&c.messagesProduced, 1)
atomic.AddInt64(&c.bytesProduced, int64(size))
c.prometheusMetrics.MessagesProducedTotal.Inc()
c.prometheusMetrics.BytesProducedTotal.Add(float64(size))
c.prometheusMetrics.MessageLatencyHistogram.Observe(latency.Seconds())
// Store latency for percentile calculations
c.latencyMutex.Lock()
c.latencies = append(c.latencies, latency)
// Keep only recent latencies to avoid memory bloat
if len(c.latencies) > 100000 {
c.latencies = c.latencies[50000:]
}
c.latencyMutex.Unlock()
}
// RecordConsumedMessage records a successfully consumed message
func (c *Collector) RecordConsumedMessage(size int) {
atomic.AddInt64(&c.messagesConsumed, 1)
atomic.AddInt64(&c.bytesConsumed, int64(size))
c.prometheusMetrics.MessagesConsumedTotal.Inc()
c.prometheusMetrics.BytesConsumedTotal.Add(float64(size))
}
// RecordProducerError records a producer error
func (c *Collector) RecordProducerError() {
atomic.AddInt64(&c.producerErrors, 1)
c.prometheusMetrics.ProducerErrorsTotal.Inc()
}
// RecordConsumerError records a consumer error
func (c *Collector) RecordConsumerError() {
atomic.AddInt64(&c.consumerErrors, 1)
c.prometheusMetrics.ConsumerErrorsTotal.Inc()
}
// UpdateConsumerLag updates consumer lag metrics
func (c *Collector) UpdateConsumerLag(consumerGroup, topic string, partition int32, lag int64) {
key := fmt.Sprintf("%s-%s-%d", consumerGroup, topic, partition)
c.consumerLagMutex.Lock()
c.consumerLag[key] = lag
c.consumerLagMutex.Unlock()
c.prometheusMetrics.ConsumerLagGauge.WithLabelValues(
consumerGroup, topic, fmt.Sprintf("%d", partition),
).Set(float64(lag))
}
// UpdateThroughput updates throughput gauges
func (c *Collector) UpdateThroughput(producerRate, consumerRate float64) {
c.prometheusMetrics.ProducerThroughput.Set(producerRate)
c.prometheusMetrics.ConsumerThroughput.Set(consumerRate)
}
// UpdateActiveClients updates active client counts
func (c *Collector) UpdateActiveClients(producers, consumers int) {
c.prometheusMetrics.ActiveProducers.Set(float64(producers))
c.prometheusMetrics.ActiveConsumers.Set(float64(consumers))
}
// GetStats returns current statistics
func (c *Collector) GetStats() Stats {
produced := atomic.LoadInt64(&c.messagesProduced)
consumed := atomic.LoadInt64(&c.messagesConsumed)
bytesProduced := atomic.LoadInt64(&c.bytesProduced)
bytesConsumed := atomic.LoadInt64(&c.bytesConsumed)
producerErrors := atomic.LoadInt64(&c.producerErrors)
consumerErrors := atomic.LoadInt64(&c.consumerErrors)
duration := time.Since(c.startTime)
// Calculate throughput
producerThroughput := float64(produced) / duration.Seconds()
consumerThroughput := float64(consumed) / duration.Seconds()
// Calculate latency percentiles
var latencyPercentiles map[float64]time.Duration
c.latencyMutex.RLock()
if len(c.latencies) > 0 {
latencyPercentiles = c.calculatePercentiles(c.latencies)
}
c.latencyMutex.RUnlock()
// Get consumer lag summary
c.consumerLagMutex.RLock()
totalLag := int64(0)
maxLag := int64(0)
for _, lag := range c.consumerLag {
totalLag += lag
if lag > maxLag {
maxLag = lag
}
}
avgLag := float64(0)
if len(c.consumerLag) > 0 {
avgLag = float64(totalLag) / float64(len(c.consumerLag))
}
c.consumerLagMutex.RUnlock()
return Stats{
Duration: duration,
MessagesProduced: produced,
MessagesConsumed: consumed,
BytesProduced: bytesProduced,
BytesConsumed: bytesConsumed,
ProducerErrors: producerErrors,
ConsumerErrors: consumerErrors,
ProducerThroughput: producerThroughput,
ConsumerThroughput: consumerThroughput,
LatencyPercentiles: latencyPercentiles,
TotalConsumerLag: totalLag,
MaxConsumerLag: maxLag,
AvgConsumerLag: avgLag,
}
}
// PrintSummary prints a summary of the test statistics
func (c *Collector) PrintSummary() {
stats := c.GetStats()
fmt.Printf("\n=== Load Test Summary ===\n")
fmt.Printf("Test Duration: %v\n", stats.Duration)
fmt.Printf("\nMessages:\n")
fmt.Printf(" Produced: %d (%.2f MB)\n", stats.MessagesProduced, float64(stats.BytesProduced)/1024/1024)
fmt.Printf(" Consumed: %d (%.2f MB)\n", stats.MessagesConsumed, float64(stats.BytesConsumed)/1024/1024)
fmt.Printf(" Producer Errors: %d\n", stats.ProducerErrors)
fmt.Printf(" Consumer Errors: %d\n", stats.ConsumerErrors)
fmt.Printf("\nThroughput:\n")
fmt.Printf(" Producer: %.2f msgs/sec\n", stats.ProducerThroughput)
fmt.Printf(" Consumer: %.2f msgs/sec\n", stats.ConsumerThroughput)
if stats.LatencyPercentiles != nil {
fmt.Printf("\nLatency Percentiles:\n")
percentiles := []float64{50, 90, 95, 99, 99.9}
for _, p := range percentiles {
if latency, exists := stats.LatencyPercentiles[p]; exists {
fmt.Printf(" p%.1f: %v\n", p, latency)
}
}
}
fmt.Printf("\nConsumer Lag:\n")
fmt.Printf(" Total: %d messages\n", stats.TotalConsumerLag)
fmt.Printf(" Max: %d messages\n", stats.MaxConsumerLag)
fmt.Printf(" Average: %.2f messages\n", stats.AvgConsumerLag)
fmt.Printf("=========================\n")
}
// WriteStats writes statistics to a writer (for HTTP endpoint)
func (c *Collector) WriteStats(w io.Writer) {
stats := c.GetStats()
fmt.Fprintf(w, "# Load Test Statistics\n")
fmt.Fprintf(w, "duration_seconds %v\n", stats.Duration.Seconds())
fmt.Fprintf(w, "messages_produced %d\n", stats.MessagesProduced)
fmt.Fprintf(w, "messages_consumed %d\n", stats.MessagesConsumed)
fmt.Fprintf(w, "bytes_produced %d\n", stats.BytesProduced)
fmt.Fprintf(w, "bytes_consumed %d\n", stats.BytesConsumed)
fmt.Fprintf(w, "producer_errors %d\n", stats.ProducerErrors)
fmt.Fprintf(w, "consumer_errors %d\n", stats.ConsumerErrors)
fmt.Fprintf(w, "producer_throughput_msgs_per_sec %f\n", stats.ProducerThroughput)
fmt.Fprintf(w, "consumer_throughput_msgs_per_sec %f\n", stats.ConsumerThroughput)
fmt.Fprintf(w, "total_consumer_lag %d\n", stats.TotalConsumerLag)
fmt.Fprintf(w, "max_consumer_lag %d\n", stats.MaxConsumerLag)
fmt.Fprintf(w, "avg_consumer_lag %f\n", stats.AvgConsumerLag)
if stats.LatencyPercentiles != nil {
for percentile, latency := range stats.LatencyPercentiles {
fmt.Fprintf(w, "latency_p%g_seconds %f\n", percentile, latency.Seconds())
}
}
}
// calculatePercentiles calculates latency percentiles
func (c *Collector) calculatePercentiles(latencies []time.Duration) map[float64]time.Duration {
if len(latencies) == 0 {
return nil
}
// Make a copy and sort
sorted := make([]time.Duration, len(latencies))
copy(sorted, latencies)
sort.Slice(sorted, func(i, j int) bool {
return sorted[i] < sorted[j]
})
percentiles := map[float64]time.Duration{
50: calculatePercentile(sorted, 50),
90: calculatePercentile(sorted, 90),
95: calculatePercentile(sorted, 95),
99: calculatePercentile(sorted, 99),
99.9: calculatePercentile(sorted, 99.9),
}
return percentiles
}
// calculatePercentile calculates a specific percentile from sorted data
func calculatePercentile(sorted []time.Duration, percentile float64) time.Duration {
if len(sorted) == 0 {
return 0
}
index := percentile / 100.0 * float64(len(sorted)-1)
if index == float64(int(index)) {
return sorted[int(index)]
}
lower := sorted[int(index)]
upper := sorted[int(index)+1]
weight := index - float64(int(index))
return time.Duration(float64(lower) + weight*float64(upper-lower))
}
// Stats represents the current test statistics
type Stats struct {
Duration time.Duration
MessagesProduced int64
MessagesConsumed int64
BytesProduced int64
BytesConsumed int64
ProducerErrors int64
ConsumerErrors int64
ProducerThroughput float64
ConsumerThroughput float64
LatencyPercentiles map[float64]time.Duration
TotalConsumerLag int64
MaxConsumerLag int64
AvgConsumerLag float64
}

View File

@@ -0,0 +1,787 @@
package producer
import (
"context"
"encoding/binary"
"encoding/json"
"errors"
"fmt"
"io"
"log"
"math/rand"
"net/http"
"strings"
"sync"
"time"
"github.com/IBM/sarama"
"github.com/linkedin/goavro/v2"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/config"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/metrics"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/schema"
pb "github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/schema/pb"
"github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/tracker"
"google.golang.org/protobuf/proto"
)
// ErrCircuitBreakerOpen indicates that the circuit breaker is open due to consecutive failures
var ErrCircuitBreakerOpen = errors.New("circuit breaker is open")
// Producer represents a Kafka producer for load testing
type Producer struct {
id int
config *config.Config
metricsCollector *metrics.Collector
saramaProducer sarama.SyncProducer
useConfluent bool
topics []string
avroCodec *goavro.Codec
startTime time.Time // Test run start time for generating unique keys
// Schema management
schemaIDs map[string]int // topic -> schema ID mapping
schemaFormats map[string]string // topic -> schema format mapping (AVRO, JSON, etc.)
// Rate limiting
rateLimiter *time.Ticker
// Message generation
messageCounter int64
random *rand.Rand
// Circuit breaker detection
consecutiveFailures int
// Record tracking
tracker *tracker.Tracker
}
// Message represents a test message
type Message struct {
ID string `json:"id"`
Timestamp int64 `json:"timestamp"`
ProducerID int `json:"producer_id"`
Counter int64 `json:"counter"`
UserID string `json:"user_id"`
EventType string `json:"event_type"`
Properties map[string]interface{} `json:"properties"`
}
// New creates a new producer instance
func New(cfg *config.Config, collector *metrics.Collector, id int, recordTracker *tracker.Tracker) (*Producer, error) {
p := &Producer{
id: id,
config: cfg,
metricsCollector: collector,
topics: cfg.GetTopicNames(),
random: rand.New(rand.NewSource(time.Now().UnixNano() + int64(id))),
useConfluent: false, // Use Sarama by default, can be made configurable
schemaIDs: make(map[string]int),
schemaFormats: make(map[string]string),
startTime: time.Now(), // Record test start time for unique key generation
tracker: recordTracker,
}
// Initialize schema formats for each topic
// Distribute across AVRO, JSON, and PROTOBUF formats
for i, topic := range p.topics {
var schemaFormat string
if cfg.Producers.SchemaFormat != "" {
// Use explicit config if provided
schemaFormat = cfg.Producers.SchemaFormat
} else {
// Distribute across three formats: AVRO, JSON, PROTOBUF
switch i % 3 {
case 0:
schemaFormat = "AVRO"
case 1:
schemaFormat = "JSON"
case 2:
schemaFormat = "PROTOBUF"
}
}
p.schemaFormats[topic] = schemaFormat
log.Printf("Producer %d: Topic %s will use schema format: %s", id, topic, schemaFormat)
}
// Set up rate limiter if specified
if cfg.Producers.MessageRate > 0 {
p.rateLimiter = time.NewTicker(time.Second / time.Duration(cfg.Producers.MessageRate))
}
// Initialize Sarama producer
if err := p.initSaramaProducer(); err != nil {
return nil, fmt.Errorf("failed to initialize Sarama producer: %w", err)
}
// Initialize Avro codec and register/fetch schemas if schemas are enabled
if cfg.Schemas.Enabled {
if err := p.initAvroCodec(); err != nil {
return nil, fmt.Errorf("failed to initialize Avro codec: %w", err)
}
if err := p.ensureSchemasRegistered(); err != nil {
return nil, fmt.Errorf("failed to ensure schemas are registered: %w", err)
}
if err := p.fetchSchemaIDs(); err != nil {
return nil, fmt.Errorf("failed to fetch schema IDs: %w", err)
}
}
log.Printf("Producer %d initialized successfully", id)
return p, nil
}
// initSaramaProducer initializes the Sarama producer
func (p *Producer) initSaramaProducer() error {
config := sarama.NewConfig()
// Producer configuration
config.Producer.RequiredAcks = sarama.WaitForAll
if p.config.Producers.Acks == "0" {
config.Producer.RequiredAcks = sarama.NoResponse
} else if p.config.Producers.Acks == "1" {
config.Producer.RequiredAcks = sarama.WaitForLocal
}
config.Producer.Retry.Max = p.config.Producers.Retries
config.Producer.Retry.Backoff = time.Duration(p.config.Producers.RetryBackoffMs) * time.Millisecond
config.Producer.Return.Successes = true
config.Producer.Return.Errors = true
// Compression
switch p.config.Producers.CompressionType {
case "gzip":
config.Producer.Compression = sarama.CompressionGZIP
case "snappy":
config.Producer.Compression = sarama.CompressionSnappy
case "lz4":
config.Producer.Compression = sarama.CompressionLZ4
case "zstd":
config.Producer.Compression = sarama.CompressionZSTD
default:
config.Producer.Compression = sarama.CompressionNone
}
// Batching
config.Producer.Flush.Messages = p.config.Producers.BatchSize
config.Producer.Flush.Frequency = time.Duration(p.config.Producers.LingerMs) * time.Millisecond
// Timeouts
config.Net.DialTimeout = 30 * time.Second
config.Net.ReadTimeout = 30 * time.Second
config.Net.WriteTimeout = 30 * time.Second
// Version
config.Version = sarama.V2_8_0_0
// Create producer
producer, err := sarama.NewSyncProducer(p.config.Kafka.BootstrapServers, config)
if err != nil {
return fmt.Errorf("failed to create Sarama producer: %w", err)
}
p.saramaProducer = producer
return nil
}
// initAvroCodec initializes the Avro codec for schema-based messages
func (p *Producer) initAvroCodec() error {
// Use the shared LoadTestMessage schema
codec, err := goavro.NewCodec(schema.GetAvroSchema())
if err != nil {
return fmt.Errorf("failed to create Avro codec: %w", err)
}
p.avroCodec = codec
return nil
}
// Run starts the producer and produces messages until the context is cancelled
func (p *Producer) Run(ctx context.Context) error {
log.Printf("Producer %d starting", p.id)
defer log.Printf("Producer %d stopped", p.id)
// Create topics if they don't exist
if err := p.createTopics(); err != nil {
log.Printf("Producer %d: Failed to create topics: %v", p.id, err)
p.metricsCollector.RecordProducerError()
return err
}
var wg sync.WaitGroup
errChan := make(chan error, 1)
// Main production loop
wg.Add(1)
go func() {
defer wg.Done()
if err := p.produceMessages(ctx); err != nil {
errChan <- err
}
}()
// Wait for completion or error
select {
case <-ctx.Done():
log.Printf("Producer %d: Context cancelled, shutting down", p.id)
case err := <-errChan:
log.Printf("Producer %d: Stopping due to error: %v", p.id, err)
return err
}
// Stop rate limiter
if p.rateLimiter != nil {
p.rateLimiter.Stop()
}
// Wait for goroutines to finish
wg.Wait()
return nil
}
// produceMessages is the main message production loop
func (p *Producer) produceMessages(ctx context.Context) error {
for {
select {
case <-ctx.Done():
return nil
default:
// Rate limiting
if p.rateLimiter != nil {
select {
case <-p.rateLimiter.C:
// Proceed
case <-ctx.Done():
return nil
}
}
if err := p.produceMessage(); err != nil {
log.Printf("Producer %d: Failed to produce message: %v", p.id, err)
p.metricsCollector.RecordProducerError()
// Check for circuit breaker error
if p.isCircuitBreakerError(err) {
p.consecutiveFailures++
log.Printf("Producer %d: Circuit breaker error detected (%d/%d consecutive failures)",
p.id, p.consecutiveFailures, 3)
// Progressive backoff delay to avoid overloading the gateway
backoffDelay := time.Duration(p.consecutiveFailures) * 500 * time.Millisecond
log.Printf("Producer %d: Backing off for %v to avoid overloading gateway", p.id, backoffDelay)
select {
case <-time.After(backoffDelay):
// Continue after delay
case <-ctx.Done():
return nil
}
// If we've hit 3 consecutive circuit breaker errors, stop the producer
if p.consecutiveFailures >= 3 {
log.Printf("Producer %d: Circuit breaker is open - stopping producer after %d consecutive failures",
p.id, p.consecutiveFailures)
return fmt.Errorf("%w: stopping producer after %d consecutive failures", ErrCircuitBreakerOpen, p.consecutiveFailures)
}
} else {
// Reset counter for non-circuit breaker errors
p.consecutiveFailures = 0
}
} else {
// Reset counter on successful message
p.consecutiveFailures = 0
}
}
}
}
// produceMessage produces a single message
func (p *Producer) produceMessage() error {
startTime := time.Now()
// Select random topic
topic := p.topics[p.random.Intn(len(p.topics))]
// Produce message using Sarama (message will be generated based on topic's schema format)
return p.produceSaramaMessage(topic, startTime)
}
// produceSaramaMessage produces a message using Sarama
// The message is generated internally based on the topic's schema format
func (p *Producer) produceSaramaMessage(topic string, startTime time.Time) error {
// Generate key
key := p.generateMessageKey()
// If schemas are enabled, wrap in Confluent Wire Format based on topic's schema format
var messageValue []byte
if p.config.Schemas.Enabled {
schemaID, exists := p.schemaIDs[topic]
if !exists {
return fmt.Errorf("schema ID not found for topic %s", topic)
}
// Get the schema format for this topic
schemaFormat := p.schemaFormats[topic]
// CRITICAL FIX: Encode based on schema format, NOT config value_type
// The encoding MUST match what the schema registry and gateway expect
var encodedMessage []byte
var err error
switch schemaFormat {
case "AVRO":
// For Avro schema, encode as Avro binary
encodedMessage, err = p.generateAvroMessage()
if err != nil {
return fmt.Errorf("failed to encode as Avro for topic %s: %w", topic, err)
}
case "JSON":
// For JSON schema, encode as JSON
encodedMessage, err = p.generateJSONMessage()
if err != nil {
return fmt.Errorf("failed to encode as JSON for topic %s: %w", topic, err)
}
case "PROTOBUF":
// For PROTOBUF schema, encode as Protobuf binary
encodedMessage, err = p.generateProtobufMessage()
if err != nil {
return fmt.Errorf("failed to encode as Protobuf for topic %s: %w", topic, err)
}
default:
// Unknown format - fallback to JSON
encodedMessage, err = p.generateJSONMessage()
if err != nil {
return fmt.Errorf("failed to encode as JSON (unknown format fallback) for topic %s: %w", topic, err)
}
}
// Wrap in Confluent wire format (magic byte + schema ID + payload)
messageValue = p.createConfluentWireFormat(schemaID, encodedMessage)
} else {
// No schemas - generate message based on config value_type
var err error
messageValue, err = p.generateMessage()
if err != nil {
return fmt.Errorf("failed to generate message: %w", err)
}
}
msg := &sarama.ProducerMessage{
Topic: topic,
Key: sarama.StringEncoder(key),
Value: sarama.ByteEncoder(messageValue),
}
// Add headers if configured
if p.config.Producers.IncludeHeaders {
msg.Headers = []sarama.RecordHeader{
{Key: []byte("producer_id"), Value: []byte(fmt.Sprintf("%d", p.id))},
{Key: []byte("timestamp"), Value: []byte(fmt.Sprintf("%d", startTime.UnixNano()))},
}
}
// Produce message
partition, offset, err := p.saramaProducer.SendMessage(msg)
if err != nil {
return err
}
// Track produced message
if p.tracker != nil {
p.tracker.TrackProduced(tracker.Record{
Key: key,
Topic: topic,
Partition: partition,
Offset: offset,
Timestamp: startTime.UnixNano(),
ProducerID: p.id,
})
}
// Record metrics
latency := time.Since(startTime)
p.metricsCollector.RecordProducedMessage(len(messageValue), latency)
return nil
}
// generateMessage generates a test message
func (p *Producer) generateMessage() ([]byte, error) {
p.messageCounter++
switch p.config.Producers.ValueType {
case "avro":
return p.generateAvroMessage()
case "json":
return p.generateJSONMessage()
case "binary":
return p.generateBinaryMessage()
default:
return p.generateJSONMessage()
}
}
// generateJSONMessage generates a JSON test message
func (p *Producer) generateJSONMessage() ([]byte, error) {
msg := Message{
ID: fmt.Sprintf("msg-%d-%d", p.id, p.messageCounter),
Timestamp: time.Now().UnixNano(),
ProducerID: p.id,
Counter: p.messageCounter,
UserID: fmt.Sprintf("user-%d", p.random.Intn(10000)),
EventType: p.randomEventType(),
Properties: map[string]interface{}{
"session_id": fmt.Sprintf("sess-%d-%d", p.id, p.random.Intn(1000)),
"page_views": fmt.Sprintf("%d", p.random.Intn(100)), // String for Avro map<string,string>
"duration_ms": fmt.Sprintf("%d", p.random.Intn(300000)), // String for Avro map<string,string>
"country": p.randomCountry(),
"device_type": p.randomDeviceType(),
"app_version": fmt.Sprintf("v%d.%d.%d", p.random.Intn(10), p.random.Intn(10), p.random.Intn(100)),
},
}
// Marshal to JSON (no padding - let natural message size be used)
messageBytes, err := json.Marshal(msg)
if err != nil {
return nil, err
}
return messageBytes, nil
}
// generateProtobufMessage generates a Protobuf-encoded message
func (p *Producer) generateProtobufMessage() ([]byte, error) {
// Create protobuf message
protoMsg := &pb.LoadTestMessage{
Id: fmt.Sprintf("msg-%d-%d", p.id, p.messageCounter),
Timestamp: time.Now().UnixNano(),
ProducerId: int32(p.id),
Counter: p.messageCounter,
UserId: fmt.Sprintf("user-%d", p.random.Intn(10000)),
EventType: p.randomEventType(),
Properties: map[string]string{
"session_id": fmt.Sprintf("sess-%d-%d", p.id, p.random.Intn(1000)),
"page_views": fmt.Sprintf("%d", p.random.Intn(100)),
"duration_ms": fmt.Sprintf("%d", p.random.Intn(300000)),
"country": p.randomCountry(),
"device_type": p.randomDeviceType(),
"app_version": fmt.Sprintf("v%d.%d.%d", p.random.Intn(10), p.random.Intn(10), p.random.Intn(100)),
},
}
// Marshal to protobuf binary
messageBytes, err := proto.Marshal(protoMsg)
if err != nil {
return nil, err
}
return messageBytes, nil
}
// generateAvroMessage generates an Avro-encoded message with Confluent Wire Format
// NOTE: Avro messages are NOT padded - they have their own binary format
func (p *Producer) generateAvroMessage() ([]byte, error) {
if p.avroCodec == nil {
return nil, fmt.Errorf("Avro codec not initialized")
}
// Create Avro-compatible record matching the LoadTestMessage schema
record := map[string]interface{}{
"id": fmt.Sprintf("msg-%d-%d", p.id, p.messageCounter),
"timestamp": time.Now().UnixNano(),
"producer_id": p.id,
"counter": p.messageCounter,
"user_id": fmt.Sprintf("user-%d", p.random.Intn(10000)),
"event_type": p.randomEventType(),
"properties": map[string]interface{}{
"session_id": fmt.Sprintf("sess-%d-%d", p.id, p.random.Intn(1000)),
"page_views": fmt.Sprintf("%d", p.random.Intn(100)),
"duration_ms": fmt.Sprintf("%d", p.random.Intn(300000)),
"country": p.randomCountry(),
"device_type": p.randomDeviceType(),
"app_version": fmt.Sprintf("v%d.%d.%d", p.random.Intn(10), p.random.Intn(10), p.random.Intn(100)),
},
}
// Encode to Avro binary
avroBytes, err := p.avroCodec.BinaryFromNative(nil, record)
if err != nil {
return nil, err
}
return avroBytes, nil
}
// generateBinaryMessage generates a binary test message (no padding)
func (p *Producer) generateBinaryMessage() ([]byte, error) {
// Create a simple binary message format:
// [producer_id:4][counter:8][timestamp:8]
message := make([]byte, 20)
// Producer ID (4 bytes)
message[0] = byte(p.id >> 24)
message[1] = byte(p.id >> 16)
message[2] = byte(p.id >> 8)
message[3] = byte(p.id)
// Counter (8 bytes)
for i := 0; i < 8; i++ {
message[4+i] = byte(p.messageCounter >> (56 - i*8))
}
// Timestamp (8 bytes)
timestamp := time.Now().UnixNano()
for i := 0; i < 8; i++ {
message[12+i] = byte(timestamp >> (56 - i*8))
}
return message, nil
}
// generateMessageKey generates a message key based on the configured distribution
// Keys are prefixed with a test run ID to track messages across test runs
func (p *Producer) generateMessageKey() string {
// Use test start time as run ID (format: YYYYMMDD-HHMMSS)
runID := p.startTime.Format("20060102-150405")
switch p.config.Producers.KeyDistribution {
case "sequential":
return fmt.Sprintf("run-%s-key-%d", runID, p.messageCounter)
case "uuid":
return fmt.Sprintf("run-%s-uuid-%d-%d-%d", runID, p.id, time.Now().UnixNano(), p.random.Intn(1000000))
default: // random
return fmt.Sprintf("run-%s-key-%d", runID, p.random.Intn(10000))
}
}
// createTopics creates the test topics if they don't exist
func (p *Producer) createTopics() error {
// Use Sarama admin client to create topics
config := sarama.NewConfig()
config.Version = sarama.V2_8_0_0
admin, err := sarama.NewClusterAdmin(p.config.Kafka.BootstrapServers, config)
if err != nil {
return fmt.Errorf("failed to create admin client: %w", err)
}
defer admin.Close()
// Create topic specifications
topicSpecs := make(map[string]*sarama.TopicDetail)
for _, topic := range p.topics {
topicSpecs[topic] = &sarama.TopicDetail{
NumPartitions: int32(p.config.Topics.Partitions),
ReplicationFactor: int16(p.config.Topics.ReplicationFactor),
ConfigEntries: map[string]*string{
"cleanup.policy": &p.config.Topics.CleanupPolicy,
"retention.ms": stringPtr(fmt.Sprintf("%d", p.config.Topics.RetentionMs)),
"segment.ms": stringPtr(fmt.Sprintf("%d", p.config.Topics.SegmentMs)),
},
}
}
// Create topics
for _, topic := range p.topics {
err = admin.CreateTopic(topic, topicSpecs[topic], false)
if err != nil && err != sarama.ErrTopicAlreadyExists {
log.Printf("Producer %d: Warning - failed to create topic %s: %v", p.id, topic, err)
} else {
log.Printf("Producer %d: Successfully created topic %s", p.id, topic)
}
}
return nil
}
// Close closes the producer and cleans up resources
func (p *Producer) Close() error {
log.Printf("Producer %d: Closing", p.id)
if p.rateLimiter != nil {
p.rateLimiter.Stop()
}
if p.saramaProducer != nil {
return p.saramaProducer.Close()
}
return nil
}
// Helper functions
func stringPtr(s string) *string {
return &s
}
func joinStrings(strs []string, sep string) string {
if len(strs) == 0 {
return ""
}
result := strs[0]
for i := 1; i < len(strs); i++ {
result += sep + strs[i]
}
return result
}
func (p *Producer) randomEventType() string {
events := []string{"login", "logout", "view", "click", "purchase", "signup", "search", "download"}
return events[p.random.Intn(len(events))]
}
func (p *Producer) randomCountry() string {
countries := []string{"US", "CA", "UK", "DE", "FR", "JP", "AU", "BR", "IN", "CN"}
return countries[p.random.Intn(len(countries))]
}
func (p *Producer) randomDeviceType() string {
devices := []string{"desktop", "mobile", "tablet", "tv", "watch"}
return devices[p.random.Intn(len(devices))]
}
// fetchSchemaIDs fetches schema IDs from Schema Registry for all topics
func (p *Producer) fetchSchemaIDs() error {
for _, topic := range p.topics {
subject := topic + "-value"
schemaID, err := p.getSchemaID(subject)
if err != nil {
return fmt.Errorf("failed to get schema ID for subject %s: %w", subject, err)
}
p.schemaIDs[topic] = schemaID
log.Printf("Producer %d: Fetched schema ID %d for topic %s", p.id, schemaID, topic)
}
return nil
}
// getSchemaID fetches the latest schema ID for a subject from Schema Registry
func (p *Producer) getSchemaID(subject string) (int, error) {
url := fmt.Sprintf("%s/subjects/%s/versions/latest", p.config.SchemaRegistry.URL, subject)
resp, err := http.Get(url)
if err != nil {
return 0, err
}
defer resp.Body.Close()
if resp.StatusCode != 200 {
body, _ := io.ReadAll(resp.Body)
return 0, fmt.Errorf("failed to get schema: status=%d, body=%s", resp.StatusCode, string(body))
}
var schemaResp struct {
ID int `json:"id"`
}
if err := json.NewDecoder(resp.Body).Decode(&schemaResp); err != nil {
return 0, err
}
return schemaResp.ID, nil
}
// ensureSchemasRegistered ensures that schemas are registered for all topics
// It registers schemas if they don't exist, but doesn't fail if they already do
func (p *Producer) ensureSchemasRegistered() error {
for _, topic := range p.topics {
subject := topic + "-value"
// First check if schema already exists
schemaID, err := p.getSchemaID(subject)
if err == nil {
log.Printf("Producer %d: Schema already exists for topic %s (ID: %d), skipping registration", p.id, topic, schemaID)
continue
}
// Schema doesn't exist, register it
log.Printf("Producer %d: Registering schema for topic %s", p.id, topic)
if err := p.registerTopicSchema(subject); err != nil {
return fmt.Errorf("failed to register schema for topic %s: %w", topic, err)
}
log.Printf("Producer %d: Schema registered successfully for topic %s", p.id, topic)
}
return nil
}
// registerTopicSchema registers the schema for a specific topic based on configured format
func (p *Producer) registerTopicSchema(subject string) error {
// Extract topic name from subject (remove -value or -key suffix)
topicName := strings.TrimSuffix(strings.TrimSuffix(subject, "-value"), "-key")
// Get schema format for this topic
schemaFormat, ok := p.schemaFormats[topicName]
if !ok {
// Fallback to config or default
schemaFormat = p.config.Producers.SchemaFormat
if schemaFormat == "" {
schemaFormat = "AVRO"
}
}
var schemaStr string
var schemaType string
switch strings.ToUpper(schemaFormat) {
case "AVRO":
schemaStr = schema.GetAvroSchema()
schemaType = "AVRO"
case "JSON", "JSON_SCHEMA":
schemaStr = schema.GetJSONSchema()
schemaType = "JSON"
case "PROTOBUF":
schemaStr = schema.GetProtobufSchema()
schemaType = "PROTOBUF"
default:
return fmt.Errorf("unsupported schema format: %s", schemaFormat)
}
url := fmt.Sprintf("%s/subjects/%s/versions", p.config.SchemaRegistry.URL, subject)
payload := map[string]interface{}{
"schema": schemaStr,
"schemaType": schemaType,
}
jsonPayload, err := json.Marshal(payload)
if err != nil {
return fmt.Errorf("failed to marshal schema payload: %w", err)
}
resp, err := http.Post(url, "application/vnd.schemaregistry.v1+json", strings.NewReader(string(jsonPayload)))
if err != nil {
return fmt.Errorf("failed to register schema: %w", err)
}
defer resp.Body.Close()
if resp.StatusCode != 200 {
body, _ := io.ReadAll(resp.Body)
return fmt.Errorf("schema registration failed: status=%d, body=%s", resp.StatusCode, string(body))
}
var registerResp struct {
ID int `json:"id"`
}
if err := json.NewDecoder(resp.Body).Decode(&registerResp); err != nil {
return fmt.Errorf("failed to decode registration response: %w", err)
}
log.Printf("Schema registered with ID: %d (format: %s)", registerResp.ID, schemaType)
return nil
}
// createConfluentWireFormat creates a message in Confluent Wire Format
// This matches the implementation in weed/mq/kafka/schema/envelope.go CreateConfluentEnvelope
func (p *Producer) createConfluentWireFormat(schemaID int, avroData []byte) []byte {
// Confluent Wire Format: [magic_byte(1)][schema_id(4)][payload(n)]
// magic_byte = 0x00
// schema_id = 4 bytes big-endian
wireFormat := make([]byte, 5+len(avroData))
wireFormat[0] = 0x00 // Magic byte
binary.BigEndian.PutUint32(wireFormat[1:5], uint32(schemaID))
copy(wireFormat[5:], avroData)
return wireFormat
}
// isCircuitBreakerError checks if an error indicates that the circuit breaker is open
func (p *Producer) isCircuitBreakerError(err error) bool {
return errors.Is(err, ErrCircuitBreakerOpen)
}

View File

@@ -0,0 +1,16 @@
syntax = "proto3";
package com.seaweedfs.loadtest;
option go_package = "github.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/schema/pb";
message LoadTestMessage {
string id = 1;
int64 timestamp = 2;
int32 producer_id = 3;
int64 counter = 4;
string user_id = 5;
string event_type = 6;
map<string, string> properties = 7;
}

View File

@@ -0,0 +1,186 @@
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.36.6
// protoc v5.29.3
// source: loadtest.proto
package pb
import (
reflect "reflect"
sync "sync"
unsafe "unsafe"
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
)
const (
// Verify that this generated code is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
// Verify that runtime/protoimpl is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)
type LoadTestMessage struct {
state protoimpl.MessageState `protogen:"open.v1"`
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
Timestamp int64 `protobuf:"varint,2,opt,name=timestamp,proto3" json:"timestamp,omitempty"`
ProducerId int32 `protobuf:"varint,3,opt,name=producer_id,json=producerId,proto3" json:"producer_id,omitempty"`
Counter int64 `protobuf:"varint,4,opt,name=counter,proto3" json:"counter,omitempty"`
UserId string `protobuf:"bytes,5,opt,name=user_id,json=userId,proto3" json:"user_id,omitempty"`
EventType string `protobuf:"bytes,6,opt,name=event_type,json=eventType,proto3" json:"event_type,omitempty"`
Properties map[string]string `protobuf:"bytes,7,rep,name=properties,proto3" json:"properties,omitempty" protobuf_key:"bytes,1,opt,name=key" protobuf_val:"bytes,2,opt,name=value"`
unknownFields protoimpl.UnknownFields
sizeCache protoimpl.SizeCache
}
func (x *LoadTestMessage) Reset() {
*x = LoadTestMessage{}
mi := &file_loadtest_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
func (x *LoadTestMessage) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*LoadTestMessage) ProtoMessage() {}
func (x *LoadTestMessage) ProtoReflect() protoreflect.Message {
mi := &file_loadtest_proto_msgTypes[0]
if x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use LoadTestMessage.ProtoReflect.Descriptor instead.
func (*LoadTestMessage) Descriptor() ([]byte, []int) {
return file_loadtest_proto_rawDescGZIP(), []int{0}
}
func (x *LoadTestMessage) GetId() string {
if x != nil {
return x.Id
}
return ""
}
func (x *LoadTestMessage) GetTimestamp() int64 {
if x != nil {
return x.Timestamp
}
return 0
}
func (x *LoadTestMessage) GetProducerId() int32 {
if x != nil {
return x.ProducerId
}
return 0
}
func (x *LoadTestMessage) GetCounter() int64 {
if x != nil {
return x.Counter
}
return 0
}
func (x *LoadTestMessage) GetUserId() string {
if x != nil {
return x.UserId
}
return ""
}
func (x *LoadTestMessage) GetEventType() string {
if x != nil {
return x.EventType
}
return ""
}
func (x *LoadTestMessage) GetProperties() map[string]string {
if x != nil {
return x.Properties
}
return nil
}
var File_loadtest_proto protoreflect.FileDescriptor
const file_loadtest_proto_rawDesc = "" +
"\n" +
"\x0eloadtest.proto\x12\x16com.seaweedfs.loadtest\"\xca\x02\n" +
"\x0fLoadTestMessage\x12\x0e\n" +
"\x02id\x18\x01 \x01(\tR\x02id\x12\x1c\n" +
"\ttimestamp\x18\x02 \x01(\x03R\ttimestamp\x12\x1f\n" +
"\vproducer_id\x18\x03 \x01(\x05R\n" +
"producerId\x12\x18\n" +
"\acounter\x18\x04 \x01(\x03R\acounter\x12\x17\n" +
"\auser_id\x18\x05 \x01(\tR\x06userId\x12\x1d\n" +
"\n" +
"event_type\x18\x06 \x01(\tR\teventType\x12W\n" +
"\n" +
"properties\x18\a \x03(\v27.com.seaweedfs.loadtest.LoadTestMessage.PropertiesEntryR\n" +
"properties\x1a=\n" +
"\x0fPropertiesEntry\x12\x10\n" +
"\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n" +
"\x05value\x18\x02 \x01(\tR\x05value:\x028\x01BTZRgithub.com/seaweedfs/seaweedfs/test/kafka/kafka-client-loadtest/internal/schema/pbb\x06proto3"
var (
file_loadtest_proto_rawDescOnce sync.Once
file_loadtest_proto_rawDescData []byte
)
func file_loadtest_proto_rawDescGZIP() []byte {
file_loadtest_proto_rawDescOnce.Do(func() {
file_loadtest_proto_rawDescData = protoimpl.X.CompressGZIP(unsafe.Slice(unsafe.StringData(file_loadtest_proto_rawDesc), len(file_loadtest_proto_rawDesc)))
})
return file_loadtest_proto_rawDescData
}
var file_loadtest_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
var file_loadtest_proto_goTypes = []any{
(*LoadTestMessage)(nil), // 0: com.seaweedfs.loadtest.LoadTestMessage
nil, // 1: com.seaweedfs.loadtest.LoadTestMessage.PropertiesEntry
}
var file_loadtest_proto_depIdxs = []int32{
1, // 0: com.seaweedfs.loadtest.LoadTestMessage.properties:type_name -> com.seaweedfs.loadtest.LoadTestMessage.PropertiesEntry
1, // [1:1] is the sub-list for method output_type
1, // [1:1] is the sub-list for method input_type
1, // [1:1] is the sub-list for extension type_name
1, // [1:1] is the sub-list for extension extendee
0, // [0:1] is the sub-list for field type_name
}
func init() { file_loadtest_proto_init() }
func file_loadtest_proto_init() {
if File_loadtest_proto != nil {
return
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: unsafe.Slice(unsafe.StringData(file_loadtest_proto_rawDesc), len(file_loadtest_proto_rawDesc)),
NumEnums: 0,
NumMessages: 2,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_loadtest_proto_goTypes,
DependencyIndexes: file_loadtest_proto_depIdxs,
MessageInfos: file_loadtest_proto_msgTypes,
}.Build()
File_loadtest_proto = out.File
file_loadtest_proto_goTypes = nil
file_loadtest_proto_depIdxs = nil
}

View File

@@ -0,0 +1,58 @@
package schema
// GetAvroSchema returns the Avro schema for load test messages
func GetAvroSchema() string {
return `{
"type": "record",
"name": "LoadTestMessage",
"namespace": "com.seaweedfs.loadtest",
"fields": [
{"name": "id", "type": "string"},
{"name": "timestamp", "type": "long"},
{"name": "producer_id", "type": "int"},
{"name": "counter", "type": "long"},
{"name": "user_id", "type": "string"},
{"name": "event_type", "type": "string"},
{"name": "properties", "type": {"type": "map", "values": "string"}}
]
}`
}
// GetJSONSchema returns the JSON Schema for load test messages
func GetJSONSchema() string {
return `{
"$schema": "http://json-schema.org/draft-07/schema#",
"title": "LoadTestMessage",
"type": "object",
"properties": {
"id": {"type": "string"},
"timestamp": {"type": "integer"},
"producer_id": {"type": "integer"},
"counter": {"type": "integer"},
"user_id": {"type": "string"},
"event_type": {"type": "string"},
"properties": {
"type": "object",
"additionalProperties": {"type": "string"}
}
},
"required": ["id", "timestamp", "producer_id", "counter", "user_id", "event_type"]
}`
}
// GetProtobufSchema returns the Protobuf schema for load test messages
func GetProtobufSchema() string {
return `syntax = "proto3";
package com.seaweedfs.loadtest;
message LoadTestMessage {
string id = 1;
int64 timestamp = 2;
int32 producer_id = 3;
int64 counter = 4;
string user_id = 5;
string event_type = 6;
map<string, string> properties = 7;
}`
}

View File

@@ -0,0 +1,281 @@
package tracker
import (
"encoding/json"
"fmt"
"os"
"sort"
"strings"
"sync"
"time"
)
// Record represents a tracked message
type Record struct {
Key string `json:"key"`
Topic string `json:"topic"`
Partition int32 `json:"partition"`
Offset int64 `json:"offset"`
Timestamp int64 `json:"timestamp"`
ProducerID int `json:"producer_id,omitempty"`
ConsumerID int `json:"consumer_id,omitempty"`
}
// Tracker tracks produced and consumed records
type Tracker struct {
mu sync.Mutex
producedRecords []Record
consumedRecords []Record
producedFile string
consumedFile string
testStartTime int64 // Unix timestamp in nanoseconds - used to filter old messages
testRunPrefix string // Key prefix for this test run (e.g., "run-20251015-170150")
filteredOldCount int // Count of old messages consumed but not tracked
}
// NewTracker creates a new record tracker
func NewTracker(producedFile, consumedFile string, testStartTime int64) *Tracker {
// Generate test run prefix from start time using same format as producer
// Producer format: p.startTime.Format("20060102-150405") -> "20251015-170859"
startTime := time.Unix(0, testStartTime)
runID := startTime.Format("20060102-150405")
testRunPrefix := fmt.Sprintf("run-%s", runID)
fmt.Printf("Tracker initialized with prefix: %s (filtering messages not matching this prefix)\n", testRunPrefix)
return &Tracker{
producedRecords: make([]Record, 0, 100000),
consumedRecords: make([]Record, 0, 100000),
producedFile: producedFile,
consumedFile: consumedFile,
testStartTime: testStartTime,
testRunPrefix: testRunPrefix,
filteredOldCount: 0,
}
}
// TrackProduced records a produced message
func (t *Tracker) TrackProduced(record Record) {
t.mu.Lock()
defer t.mu.Unlock()
t.producedRecords = append(t.producedRecords, record)
}
// TrackConsumed records a consumed message
// Only tracks messages from the current test run (filters out old messages from previous tests)
func (t *Tracker) TrackConsumed(record Record) {
t.mu.Lock()
defer t.mu.Unlock()
// Filter: Only track messages from current test run based on key prefix
// Producer keys look like: "run-20251015-170150-key-123"
// We only want messages that match our test run prefix
if !strings.HasPrefix(record.Key, t.testRunPrefix) {
// Count old messages consumed but not tracked
t.filteredOldCount++
return
}
t.consumedRecords = append(t.consumedRecords, record)
}
// SaveProduced writes produced records to file
func (t *Tracker) SaveProduced() error {
t.mu.Lock()
defer t.mu.Unlock()
f, err := os.Create(t.producedFile)
if err != nil {
return fmt.Errorf("failed to create produced file: %v", err)
}
defer f.Close()
encoder := json.NewEncoder(f)
for _, record := range t.producedRecords {
if err := encoder.Encode(record); err != nil {
return fmt.Errorf("failed to encode produced record: %v", err)
}
}
fmt.Printf("Saved %d produced records to %s\n", len(t.producedRecords), t.producedFile)
return nil
}
// SaveConsumed writes consumed records to file
func (t *Tracker) SaveConsumed() error {
t.mu.Lock()
defer t.mu.Unlock()
f, err := os.Create(t.consumedFile)
if err != nil {
return fmt.Errorf("failed to create consumed file: %v", err)
}
defer f.Close()
encoder := json.NewEncoder(f)
for _, record := range t.consumedRecords {
if err := encoder.Encode(record); err != nil {
return fmt.Errorf("failed to encode consumed record: %v", err)
}
}
fmt.Printf("Saved %d consumed records to %s\n", len(t.consumedRecords), t.consumedFile)
return nil
}
// Compare compares produced and consumed records
func (t *Tracker) Compare() ComparisonResult {
t.mu.Lock()
defer t.mu.Unlock()
result := ComparisonResult{
TotalProduced: len(t.producedRecords),
TotalConsumed: len(t.consumedRecords),
FilteredOldCount: t.filteredOldCount,
}
// Build maps for efficient lookup
producedMap := make(map[string]Record)
for _, record := range t.producedRecords {
key := fmt.Sprintf("%s-%d-%d", record.Topic, record.Partition, record.Offset)
producedMap[key] = record
}
consumedMap := make(map[string]int)
duplicateKeys := make(map[string][]Record)
for _, record := range t.consumedRecords {
key := fmt.Sprintf("%s-%d-%d", record.Topic, record.Partition, record.Offset)
consumedMap[key]++
if consumedMap[key] > 1 {
duplicateKeys[key] = append(duplicateKeys[key], record)
}
}
// Find missing records (produced but not consumed)
for key, record := range producedMap {
if _, found := consumedMap[key]; !found {
result.Missing = append(result.Missing, record)
}
}
// Find duplicate records (consumed multiple times)
for key, records := range duplicateKeys {
if len(records) > 0 {
// Add first occurrence for context
result.Duplicates = append(result.Duplicates, DuplicateRecord{
Record: records[0],
Count: consumedMap[key],
})
}
}
result.MissingCount = len(result.Missing)
result.DuplicateCount = len(result.Duplicates)
result.UniqueConsumed = result.TotalConsumed - sumDuplicates(result.Duplicates)
return result
}
// ComparisonResult holds the comparison results
type ComparisonResult struct {
TotalProduced int
TotalConsumed int
UniqueConsumed int
MissingCount int
DuplicateCount int
FilteredOldCount int // Old messages consumed but filtered out
Missing []Record
Duplicates []DuplicateRecord
}
// DuplicateRecord represents a record consumed multiple times
type DuplicateRecord struct {
Record Record
Count int
}
// PrintSummary prints a summary of the comparison
func (r *ComparisonResult) PrintSummary() {
fmt.Println("\n" + strings.Repeat("=", 70))
fmt.Println(" MESSAGE VERIFICATION RESULTS")
fmt.Println(strings.Repeat("=", 70))
fmt.Printf("\nProduction Summary:\n")
fmt.Printf(" Total Produced: %d messages\n", r.TotalProduced)
fmt.Printf("\nConsumption Summary:\n")
fmt.Printf(" Total Consumed: %d messages (from current test)\n", r.TotalConsumed)
fmt.Printf(" Unique Consumed: %d messages\n", r.UniqueConsumed)
fmt.Printf(" Duplicate Reads: %d messages\n", r.TotalConsumed-r.UniqueConsumed)
if r.FilteredOldCount > 0 {
fmt.Printf(" Filtered Old: %d messages (from previous tests, not tracked)\n", r.FilteredOldCount)
}
fmt.Printf("\nVerification Results:\n")
if r.MissingCount == 0 {
fmt.Printf(" ✅ Missing Records: 0 (all messages delivered)\n")
} else {
fmt.Printf(" ❌ Missing Records: %d (data loss detected!)\n", r.MissingCount)
}
if r.DuplicateCount == 0 {
fmt.Printf(" ✅ Duplicate Records: 0 (no duplicates)\n")
} else {
duplicatePercent := float64(r.TotalConsumed-r.UniqueConsumed) * 100.0 / float64(r.TotalProduced)
fmt.Printf(" ⚠️ Duplicate Records: %d unique messages read multiple times (%.1f%%)\n",
r.DuplicateCount, duplicatePercent)
}
fmt.Printf("\nDelivery Guarantee:\n")
if r.MissingCount == 0 && r.DuplicateCount == 0 {
fmt.Printf(" ✅ EXACTLY-ONCE: All messages delivered exactly once\n")
} else if r.MissingCount == 0 {
fmt.Printf(" ✅ AT-LEAST-ONCE: All messages delivered (some duplicates)\n")
} else {
fmt.Printf(" ❌ AT-MOST-ONCE: Some messages lost\n")
}
// Print sample of missing records (up to 10)
if len(r.Missing) > 0 {
fmt.Printf("\nSample Missing Records (first 10 of %d):\n", len(r.Missing))
for i, record := range r.Missing {
if i >= 10 {
break
}
fmt.Printf(" - %s[%d]@%d (key=%s)\n",
record.Topic, record.Partition, record.Offset, record.Key)
}
}
// Print sample of duplicate records (up to 10)
if len(r.Duplicates) > 0 {
fmt.Printf("\nSample Duplicate Records (first 10 of %d):\n", len(r.Duplicates))
// Sort by count descending
sorted := make([]DuplicateRecord, len(r.Duplicates))
copy(sorted, r.Duplicates)
sort.Slice(sorted, func(i, j int) bool {
return sorted[i].Count > sorted[j].Count
})
for i, dup := range sorted {
if i >= 10 {
break
}
fmt.Printf(" - %s[%d]@%d (key=%s, read %d times)\n",
dup.Record.Topic, dup.Record.Partition, dup.Record.Offset,
dup.Record.Key, dup.Count)
}
}
fmt.Println(strings.Repeat("=", 70))
}
func sumDuplicates(duplicates []DuplicateRecord) int {
sum := 0
for _, dup := range duplicates {
sum += dup.Count - 1 // Don't count the first occurrence
}
return sum
}