Files
rustytorch/crates/data/rtx-etl/src/incremental_original.rs
T
2026-03-04 00:08:42 +00:00

2283 lines
70 KiB
Rust

use std::collections::{HashMap, BTreeMap, VecDeque};
use std::sync::Arc;
use std::time::{Duration, Instant};
use serde::{Deserialize, Serialize};
use tokio::sync::{RwLock, Mutex};
use tracing::{info, instrument};
use uuid::Uuid;
use chrono::{DateTime, Utc};
use sha2::{Sha256, Digest};
use crate::{
Result, EtlError, DataRecord, DataValue,
state::StateManager, monitoring::EtlMetrics,
};
/// Configuration for incremental processing
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct IncrementalConfig {
/// Change detection strategy
pub change_detection: ChangeDetectionStrategy,
/// Checkpoint configuration
pub checkpoint_config: CheckpointConfig,
/// Deduplication strategy
pub deduplication: DeduplicationStrategy,
/// State retention policy
pub state_retention: StateRetentionPolicy,
/// Batch processing configuration
pub batch_config: BatchConfig,
/// Memory management configuration
pub memory_config: MemoryConfig,
/// Parallel processing configuration
pub parallelism: ParallelismConfig,
}
impl Default for IncrementalConfig {
fn default() -> Self {
Self {
change_detection: ChangeDetectionStrategy::TimestampBased {
column: "updated_at".to_string(),
format: TimestampFormat::Iso8601,
},
checkpoint_config: CheckpointConfig::default(),
deduplication: DeduplicationStrategy::Hash {
hash_columns: vec!["id".to_string()],
hash_algorithm: HashAlgorithm::Sha256,
},
state_retention: StateRetentionPolicy::TimeBased {
retention_period: Duration::from_secs(7 * 24 * 3600), // 7 days
},
batch_config: BatchConfig::default(),
memory_config: MemoryConfig::default(),
parallelism: ParallelismConfig::default(),
}
}
}
/// Incremental processor for handling change data capture and delta processing
pub struct IncrementalProcessor {
/// Configuration
config: IncrementalConfig,
/// State manager for persistence
state_manager: Arc<StateManager>,
/// Metrics collector
metrics: Arc<EtlMetrics>,
/// Change detector
change_detector: Arc<ChangeDetector>,
/// Checkpoint manager
checkpoint_manager: Arc<CheckpointManager>,
/// Deduplicator
deduplicator: Arc<Deduplicator>,
/// State tracker for incremental processing
state_tracker: Arc<RwLock<StateTracker>>,
/// Watermark manager
watermark_manager: Arc<WatermarkManager>,
/// Merge processor
merge_processor: Arc<MergeProcessor>,
}
/// Strategies for detecting changes in data
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ChangeDetectionStrategy {
/// Timestamp-based change detection
TimestampBased {
/// Column name containing timestamp
column: String,
/// Timestamp format
format: TimestampFormat,
},
/// Version-based change detection
VersionBased {
/// Column name containing version
column: String,
/// Version comparison strategy
comparison: VersionComparison,
},
/// Hash-based change detection
HashBased {
/// Columns to include in hash
columns: Vec<String>,
/// Hash algorithm to use
algorithm: HashAlgorithm,
},
/// Log-based change detection (CDC)
LogBased {
/// Log source configuration
log_source: LogSourceConfig,
},
/// Trigger-based change detection
TriggerBased {
/// Trigger configuration
trigger_config: TriggerConfig,
},
}
/// Timestamp format options
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum TimestampFormat {
/// ISO 8601 format
Iso8601,
/// Unix timestamp (seconds)
UnixSeconds,
/// Unix timestamp (milliseconds)
UnixMilliseconds,
/// Custom format string
Custom(String),
}
/// Version comparison strategies
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum VersionComparison {
/// Numeric comparison
Numeric,
/// Semantic versioning
Semantic,
/// String comparison
Lexicographic,
}
/// Hash algorithms for change detection
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum HashAlgorithm {
/// MD5 hash
Md5,
/// SHA-256 hash
Sha256,
/// SHA-512 hash
Sha512,
/// CRC32 checksum
Crc32,
}
/// Log source configuration for CDC
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LogSourceConfig {
/// Log source type
pub source_type: LogSourceType,
/// Connection configuration
pub connection: LogConnectionConfig,
/// Filter configuration
pub filters: Vec<LogFilter>,
}
/// Types of log sources for CDC
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum LogSourceType {
/// Database transaction log
DatabaseLog {
/// Database type
db_type: DatabaseType,
},
/// Kafka changelog topic
KafkaChangelog {
/// Topic name
topic: String,
},
/// File-based changelog
FileChangelog {
/// File pattern
pattern: String,
},
}
/// Database types for log-based CDC
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum DatabaseType {
/// `PostgreSQL`
PostgreSQL,
/// `MySQL`
MySQL,
/// SQL Server
SqlServer,
/// Oracle
Oracle,
/// `MongoDB`
MongoDB,
}
/// Connection configuration for log sources
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LogConnectionConfig {
/// Connection string
pub connection_string: String,
/// Authentication configuration
pub auth: Option<AuthConfig>,
/// Connection pool configuration
pub pool_config: Option<PoolConfig>,
}
/// Authentication configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AuthConfig {
/// Username
pub username: String,
/// Password
pub password: String,
/// Additional authentication parameters
pub params: HashMap<String, String>,
}
/// Connection pool configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PoolConfig {
/// Maximum connections
pub max_connections: u32,
/// Minimum connections
pub min_connections: u32,
/// Connection timeout
pub connection_timeout: Duration,
}
/// Log filter configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LogFilter {
/// Filter type
pub filter_type: LogFilterType,
/// Filter expression
pub expression: String,
}
/// Types of log filters
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum LogFilterType {
/// Table/collection filter
Table,
/// Operation filter (INSERT, UPDATE, DELETE)
Operation,
/// Column filter
Column,
/// Custom filter
Custom,
}
/// Trigger configuration for change detection
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TriggerConfig {
/// Trigger source
pub source: TriggerSource,
/// Trigger conditions
pub conditions: Vec<TriggerCondition>,
}
/// Trigger source types
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum TriggerSource {
/// Database trigger
Database {
/// Table name
table: String,
/// Trigger events
events: Vec<TriggerEvent>,
},
/// File system watcher
FileSystem {
/// Path to watch
path: String,
/// File patterns
patterns: Vec<String>,
},
/// External API webhook
Webhook {
/// Webhook endpoint
endpoint: String,
},
}
/// Database trigger events
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum TriggerEvent {
/// Insert event
Insert,
/// Update event
Update,
/// Delete event
Delete,
}
/// Trigger condition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TriggerCondition {
/// Column name
pub column: String,
/// Condition operator
pub operator: ComparisonOperator,
/// Value to compare against
pub value: DataValue,
}
/// Comparison operators for conditions
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ComparisonOperator {
/// Equal
Eq,
/// Not equal
Ne,
/// Greater than
Gt,
/// Greater than or equal
Gte,
/// Less than
Lt,
/// Less than or equal
Lte,
/// In list
In,
/// Not in list
NotIn,
/// Like pattern
Like,
/// Regex match
Regex,
}
/// Configuration for checkpointing
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CheckpointConfig {
/// Checkpoint strategy
pub strategy: CheckpointStrategy,
/// Checkpoint interval
pub interval: Duration,
/// Maximum checkpoint size
pub max_size_bytes: usize,
/// Checkpoint retention
pub retention: CheckpointRetention,
/// Compression configuration
pub compression: Option<CompressionConfig>,
}
impl Default for CheckpointConfig {
fn default() -> Self {
Self {
strategy: CheckpointStrategy::Periodic,
interval: Duration::from_secs(300), // 5 minutes
max_size_bytes: 100 * 1024 * 1024, // 100 MB
retention: CheckpointRetention::Count(10),
compression: Some(CompressionConfig {
algorithm: CompressionAlgorithm::Gzip,
level: 6,
}),
}
}
}
/// Checkpoint strategies
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CheckpointStrategy {
/// Periodic checkpointing
Periodic,
/// Size-based checkpointing
SizeBased {
/// Threshold size in bytes
threshold_bytes: usize,
},
/// Count-based checkpointing
CountBased {
/// Record count threshold
threshold_count: usize,
},
/// Time and size based
Hybrid {
/// Time threshold
time_threshold: Duration,
/// Size threshold
size_threshold: usize,
},
}
/// Checkpoint retention policies
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CheckpointRetention {
/// Keep a specific number of checkpoints
Count(usize),
/// Keep checkpoints for a specific duration
Time(Duration),
/// Keep checkpoints based on size limit
Size(usize),
}
/// Compression configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CompressionConfig {
/// Compression algorithm
pub algorithm: CompressionAlgorithm,
/// Compression level
pub level: u32,
}
/// Compression algorithms
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CompressionAlgorithm {
/// Gzip compression
Gzip,
/// LZ4 compression
Lz4,
/// Zstd compression
Zstd,
/// Snappy compression
Snappy,
}
/// Deduplication strategies
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum DeduplicationStrategy {
/// Hash-based deduplication
Hash {
/// Columns to include in hash
hash_columns: Vec<String>,
/// Hash algorithm
hash_algorithm: HashAlgorithm,
},
/// Key-based deduplication
Key {
/// Key columns
key_columns: Vec<String>,
},
/// Bloom filter based deduplication
BloomFilter {
/// Expected number of elements
expected_elements: usize,
/// False positive probability
false_positive_rate: f64,
},
/// No deduplication
None,
}
/// State retention policies
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum StateRetentionPolicy {
/// Time-based retention
TimeBased {
/// Retention period
retention_period: Duration,
},
/// Size-based retention
SizeBased {
/// Maximum state size in bytes
max_size_bytes: usize,
},
/// Count-based retention
CountBased {
/// Maximum number of state entries
max_count: usize,
},
/// No retention (keep forever)
None,
}
/// Batch processing configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BatchConfig {
/// Batch size (number of records)
pub batch_size: usize,
/// Maximum batch processing time
pub max_batch_time: Duration,
/// Batch timeout
pub batch_timeout: Duration,
/// Enable adaptive batching
pub adaptive_batching: bool,
}
impl Default for BatchConfig {
fn default() -> Self {
Self {
batch_size: 1000,
max_batch_time: Duration::from_secs(30),
batch_timeout: Duration::from_secs(60),
adaptive_batching: true,
}
}
}
/// Memory management configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryConfig {
/// Maximum memory usage in bytes
pub max_memory_bytes: usize,
/// Memory pressure threshold (0.0 to 1.0)
pub pressure_threshold: f64,
/// Enable memory compaction
pub enable_compaction: bool,
/// Garbage collection interval
pub gc_interval: Duration,
}
impl Default for MemoryConfig {
fn default() -> Self {
Self {
max_memory_bytes: 1024 * 1024 * 1024, // 1 GB
pressure_threshold: 0.8,
enable_compaction: true,
gc_interval: Duration::from_secs(60),
}
}
}
/// Parallelism configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ParallelismConfig {
/// Number of parallel workers
pub worker_count: usize,
/// Work stealing enabled
pub work_stealing: bool,
/// Load balancing strategy
pub load_balancing: LoadBalancingStrategy,
}
impl Default for ParallelismConfig {
fn default() -> Self {
Self {
worker_count: num_cpus::get(),
work_stealing: true,
load_balancing: LoadBalancingStrategy::RoundRobin,
}
}
}
/// Load balancing strategies
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum LoadBalancingStrategy {
/// Round-robin assignment
RoundRobin,
/// Least connections
LeastConnections,
/// Hash-based assignment
Hash {
/// Hash key column
key_column: String,
},
/// Random assignment
Random,
}
/// Change detector for identifying data changes
#[derive(Debug)]
pub struct ChangeDetector {
/// Detection strategy
strategy: ChangeDetectionStrategy,
/// State tracker
state_tracker: Arc<RwLock<ChangeState>>,
}
/// State for tracking changes
#[derive(Debug)]
pub struct ChangeState {
/// Last processed timestamps per source
last_timestamps: HashMap<String, DateTime<Utc>>,
/// Last processed versions per source
last_versions: HashMap<String, String>,
/// Hash signatures for change detection
hash_signatures: HashMap<String, String>,
/// Change log entries
change_log: BTreeMap<DateTime<Utc>, ChangeEntry>,
}
/// Entry in the change log
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ChangeEntry {
/// Change identifier
pub change_id: String,
/// Change type
pub change_type: ChangeType,
/// Source record identifier
pub source_record_id: String,
/// Change timestamp
pub timestamp: DateTime<Utc>,
/// Changed fields
pub changed_fields: Vec<String>,
/// Old values (for updates)
pub old_values: Option<HashMap<String, DataValue>>,
/// New values
pub new_values: HashMap<String, DataValue>,
}
/// Types of changes
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ChangeType {
/// Insert operation
Insert,
/// Update operation
Update,
/// Delete operation
Delete,
/// Upsert operation
Upsert,
}
/// Checkpoint manager for state persistence
#[derive(Debug)]
pub struct CheckpointManager {
/// Checkpoint configuration
config: CheckpointConfig,
/// State manager
state_manager: Arc<StateManager>,
/// Active checkpoints
active_checkpoints: Arc<RwLock<HashMap<String, Checkpoint>>>,
}
/// Checkpoint representing a point-in-time state
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Checkpoint {
/// Checkpoint identifier
pub checkpoint_id: String,
/// Checkpoint timestamp
pub timestamp: DateTime<Utc>,
/// Source watermarks at checkpoint time
pub watermarks: HashMap<String, DateTime<Utc>>,
/// Processing state snapshot
pub state_snapshot: StateSnapshot,
/// Checkpoint metadata
pub metadata: CheckpointMetadata,
}
/// Snapshot of processing state
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StateSnapshot {
/// Processed record counts per source
pub record_counts: HashMap<String, u64>,
/// Bytes processed per source
pub bytes_processed: HashMap<String, u64>,
/// Last processed positions
pub positions: HashMap<String, ProcessingPosition>,
/// State checksums for validation
pub checksums: HashMap<String, String>,
}
/// Processing position for resuming from checkpoint
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProcessingPosition {
/// Source identifier
pub source_id: String,
/// Position type
pub position_type: PositionType,
/// Position value
pub position_value: String,
/// Position timestamp
pub timestamp: DateTime<Utc>,
}
/// Types of processing positions
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum PositionType {
/// Timestamp-based position
Timestamp,
/// Sequence number position
SequenceNumber,
/// Log sequence number
LogSequenceNumber,
/// File offset position
FileOffset,
/// Custom position type
Custom(String),
}
/// Checkpoint metadata
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CheckpointMetadata {
/// Checkpoint size in bytes
pub size_bytes: usize,
/// Compression used
pub compression: Option<CompressionAlgorithm>,
/// Checksum for validation
pub checksum: String,
/// Creation duration
pub creation_duration_ms: u64,
}
/// Deduplicator for removing duplicate records
#[derive(Debug)]
pub struct Deduplicator {
/// Deduplication strategy
strategy: DeduplicationStrategy,
/// Deduplication cache
cache: Arc<RwLock<DeduplicationCache>>,
}
/// Cache for deduplication
#[derive(Debug)]
pub struct DeduplicationCache {
/// Hash-based cache
hash_cache: HashMap<String, CacheEntry>,
/// Key-based cache
key_cache: HashMap<String, CacheEntry>,
/// Bloom filter for approximate deduplication
bloom_filter: Option<BloomFilter>,
}
/// Cache entry for deduplication
#[derive(Debug, Clone)]
pub struct CacheEntry {
/// Record hash or key
pub identifier: String,
/// First seen timestamp
pub first_seen: DateTime<Utc>,
/// Last seen timestamp
pub last_seen: DateTime<Utc>,
/// Occurrence count
pub count: u64,
}
/// Bloom filter for approximate deduplication
#[derive(Debug)]
pub struct BloomFilter {
/// Bit array
bits: Vec<bool>,
/// Hash functions count
hash_functions: usize,
/// Expected elements
expected_elements: usize,
/// Current element count
current_count: usize,
}
/// State tracker for incremental processing
#[derive(Debug)]
pub struct StateTracker {
/// Processing state per source
source_states: HashMap<String, SourceState>,
/// Global processing statistics
global_stats: ProcessingStats,
/// Error tracking
error_tracker: ErrorTracker,
}
/// State for individual data source
#[derive(Debug)]
pub struct SourceState {
/// Source identifier
pub source_id: String,
/// Last processing watermark
pub watermark: Option<DateTime<Utc>>,
/// Records processed count
pub records_processed: u64,
/// Bytes processed count
pub bytes_processed: u64,
/// Last error encountered
pub last_error: Option<ProcessingError>,
/// Processing lag metrics
pub lag_metrics: LagMetrics,
}
/// Processing statistics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProcessingStats {
/// Total records processed
pub total_records: u64,
/// Total bytes processed
pub total_bytes: u64,
/// Processing start time
pub start_time: DateTime<Utc>,
/// Last processing time
pub last_processing_time: Option<DateTime<Utc>>,
/// Processing rate (records per second)
pub processing_rate: f64,
/// Throughput (bytes per second)
pub throughput: f64,
}
/// Error tracking for processing issues
#[derive(Debug)]
pub struct ErrorTracker {
/// Error history
pub error_history: VecDeque<ProcessingError>,
/// Error counts by type
pub error_counts: HashMap<String, u64>,
/// Last error time
pub last_error_time: Option<DateTime<Utc>>,
}
/// Processing error information
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProcessingError {
/// Error identifier
pub error_id: String,
/// Error type
pub error_type: String,
/// Error message
pub message: String,
/// Error timestamp
pub timestamp: DateTime<Utc>,
/// Source that caused the error
pub source_id: Option<String>,
/// Record that caused the error
pub record_id: Option<String>,
/// Stack trace
pub stack_trace: Option<String>,
}
/// Lag metrics for processing delay tracking
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LagMetrics {
/// Current lag in milliseconds
pub current_lag_ms: u64,
/// Average lag in milliseconds
pub average_lag_ms: f64,
/// Maximum lag seen
pub max_lag_ms: u64,
/// Lag trend (increasing/decreasing)
pub trend: LagTrend,
}
/// Lag trend indicators
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum LagTrend {
/// Lag is increasing
Increasing,
/// Lag is decreasing
Decreasing,
/// Lag is stable
Stable,
}
/// Watermark manager for incremental processing
#[derive(Debug)]
pub struct WatermarkManager {
/// Watermarks per source
source_watermarks: Arc<RwLock<HashMap<String, DateTime<Utc>>>>,
/// Global watermark
global_watermark: Arc<RwLock<Option<DateTime<Utc>>>>,
/// Watermark update listeners
listeners: Arc<Mutex<Vec<tokio::sync::mpsc::UnboundedSender<WatermarkUpdate>>>>,
}
/// Watermark update notification
#[derive(Debug, Clone)]
pub struct WatermarkUpdate {
/// Source identifier
pub source_id: String,
/// New watermark
pub watermark: DateTime<Utc>,
/// Update timestamp
pub update_time: DateTime<Utc>,
}
/// Merge processor for combining incremental changes
#[derive(Debug)]
pub struct MergeProcessor {
/// Merge strategies by table/collection
strategies: HashMap<String, MergeStrategy>,
/// Conflict resolution rules
conflict_rules: Vec<ConflictResolutionRule>,
}
/// Strategies for merging data
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum MergeStrategy {
/// Append new records only
Append,
/// Update existing records, insert new ones
Upsert {
/// Key columns for matching
key_columns: Vec<String>,
},
/// Overwrite entire dataset
Overwrite,
/// Merge with conflict resolution
Merge {
/// Key columns for matching
key_columns: Vec<String>,
/// Conflict resolution strategy
conflict_resolution: ConflictResolution,
},
/// Time-based merge (keep latest)
TimeBased {
/// Timestamp column
timestamp_column: String,
},
}
/// Conflict resolution strategies
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ConflictResolution {
/// Keep source value (incoming data wins)
Source,
/// Keep target value (existing data wins)
Target,
/// Use last writer wins
LastWriter,
/// Use timestamp-based resolution
Timestamp {
/// Timestamp column
column: String,
},
/// Custom resolution logic
Custom(String),
}
/// Rule for resolving conflicts during merge
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ConflictResolutionRule {
/// Rule identifier
pub rule_id: String,
/// Table/collection pattern
pub table_pattern: String,
/// Column pattern
pub column_pattern: Option<String>,
/// Resolution strategy
pub resolution: ConflictResolution,
/// Rule priority (higher numbers take precedence)
pub priority: i32,
}
impl IncrementalProcessor {
/// Create a new incremental processor
pub async fn new(
config: IncrementalConfig,
state_manager: Arc<StateManager>,
metrics: Arc<EtlMetrics>,
) -> Result<Self> {
let change_detector = Arc::new(ChangeDetector::new(config.change_detection.clone()).await?);
let checkpoint_manager = Arc::new(CheckpointManager::new(
config.checkpoint_config.clone(),
state_manager.clone(),
));
let deduplicator = Arc::new(Deduplicator::new(config.deduplication.clone()).await?);
let state_tracker = Arc::new(RwLock::new(StateTracker::new()));
let watermark_manager = Arc::new(WatermarkManager::new());
let merge_processor = Arc::new(MergeProcessor::new());
Ok(Self {
config,
state_manager,
metrics,
change_detector,
checkpoint_manager,
deduplicator,
state_tracker,
watermark_manager,
merge_processor,
})
}
/// Detect changes since last checkpoint
#[instrument(skip(self))]
pub async fn detect_changes(
&self,
source: &str,
checkpoint: Option<Checkpoint>,
) -> Result<ChangeSet> {
info!("Detecting changes for source: {}", source);
let start_position = if let Some(ref cp) = checkpoint {
cp.state_snapshot.positions.get(source).cloned()
} else {
None
};
self.change_detector.detect_changes(source, start_position).await
}
/// Process incremental changes
#[instrument(skip(self, changes))]
pub async fn process_changes(&self, changes: ChangeSet) -> Result<ProcessedChanges> {
let mut processed = ProcessedChanges {
change_set_id: changes.change_set_id.clone(),
processed_count: 0,
skipped_count: 0,
error_count: 0,
processing_time: Instant::now(),
records: Vec::new(),
errors: Vec::new(),
};
for change_batch in &changes.batches {
let batch_result = self.process_change_batch(change_batch.clone()).await?;
processed.processed_count += batch_result.processed_count;
processed.skipped_count += batch_result.skipped_count;
processed.error_count += batch_result.error_count;
processed.records.extend(batch_result.records);
processed.errors.extend(batch_result.errors);
}
// Update watermarks
self.update_watermarks(&changes).await?;
Ok(processed)
}
/// Process a single batch of changes
async fn process_change_batch(&self, batch: ChangeBatch) -> Result<ProcessedChanges> {
let mut result = ProcessedChanges {
change_set_id: batch.batch_id.clone(),
processed_count: 0,
skipped_count: 0,
error_count: 0,
processing_time: Instant::now(),
records: Vec::new(),
errors: Vec::new(),
};
for change in batch.changes {
match self.process_single_change(change).await {
Ok(record) => {
result.records.push(record);
result.processed_count += 1;
}
Err(e) => {
result.errors.push(ProcessingError {
error_id: Uuid::new_v4().to_string(),
error_type: "processing_error".to_string(),
message: e.to_string(),
timestamp: Utc::now(),
source_id: Some(batch.source_id.clone()),
record_id: None,
stack_trace: None,
});
result.error_count += 1;
}
}
}
Ok(result)
}
/// Process a single change entry
async fn process_single_change(&self, change: ChangeEntry) -> Result<DataRecord> {
// Apply deduplication
if !self.deduplicator.should_process(&change).await? {
return Err(EtlError::IncrementalProcessing("Record is duplicate".to_string()));
}
// Convert change to data record
let record = DataRecord {
id: Uuid::new_v4(),
event_time: change.timestamp,
process_time: Utc::now(),
partition_key: Some(change.source_record_id.clone()),
data: crate::DataPayload::Structured(change.new_values),
metadata: crate::RecordMetadata {
source: "incremental_processor".to_string(),
lineage: Vec::new(),
quality_scores: None,
attributes: HashMap::new(),
schema_version: None,
checksum: None,
},
};
Ok(record)
}
/// Update watermarks based on processed changes
async fn update_watermarks(&self, changes: &ChangeSet) -> Result<()> {
for batch in &changes.batches {
if let Some(max_timestamp) = batch.max_timestamp {
self.watermark_manager.update_watermark(&batch.source_id, max_timestamp).await?;
}
}
Ok(())
}
/// Create a checkpoint of current processing state
#[instrument(skip(self))]
pub async fn create_checkpoint(&self, checkpoint_id: &str) -> Result<Checkpoint> {
info!("Creating checkpoint: {}", checkpoint_id);
let start_time = Instant::now();
let watermarks = self.watermark_manager.get_all_watermarks().await;
let state_tracker = self.state_tracker.read().await;
let positions: HashMap<String, ProcessingPosition> = state_tracker
.source_states
.iter()
.map(|(source_id, state)| {
(
source_id.clone(),
ProcessingPosition {
source_id: source_id.clone(),
position_type: PositionType::Timestamp,
position_value: state.watermark
.unwrap_or_else(Utc::now)
.to_rfc3339(),
timestamp: Utc::now(),
}
)
})
.collect();
let record_counts: HashMap<String, u64> = state_tracker
.source_states
.iter()
.map(|(source_id, state)| (source_id.clone(), state.records_processed))
.collect();
let bytes_processed: HashMap<String, u64> = state_tracker
.source_states
.iter()
.map(|(source_id, state)| (source_id.clone(), state.bytes_processed))
.collect();
// Calculate checksums for each source state
let checksums: HashMap<String, String> = state_tracker
.source_states
.iter()
.map(|(source_id, state)| {
let mut hasher = Sha256::new();
hasher.update(source_id.as_bytes());
hasher.update(state.records_processed.to_le_bytes());
if let Some(watermark) = state.watermark {
hasher.update(watermark.to_rfc3339().as_bytes());
}
hasher.update(state.bytes_processed.to_le_bytes());
let hash = format!("{:x}", hasher.finalize());
(source_id.clone(), hash)
})
.collect();
let state_snapshot = StateSnapshot {
record_counts,
bytes_processed,
positions,
checksums,
};
// Calculate checkpoint size by serializing it
let snapshot_bytes = serde_json::to_vec(&state_snapshot)
.map_err(EtlError::Serde)?;
let watermarks_bytes = serde_json::to_vec(&watermarks)
.map_err(EtlError::Serde)?;
let total_size = snapshot_bytes.len() + watermarks_bytes.len() + checkpoint_id.len();
// Calculate checkpoint checksum
let mut checkpoint_hasher = Sha256::new();
checkpoint_hasher.update(checkpoint_id.as_bytes());
checkpoint_hasher.update(&snapshot_bytes);
checkpoint_hasher.update(&watermarks_bytes);
let checkpoint_checksum = format!("{:x}", checkpoint_hasher.finalize());
let creation_duration = start_time.elapsed();
let checkpoint = Checkpoint {
checkpoint_id: checkpoint_id.to_string(),
timestamp: Utc::now(),
watermarks,
state_snapshot,
metadata: CheckpointMetadata {
size_bytes: total_size,
compression: self.config.checkpoint_config.compression.as_ref().map(|c| c.algorithm.clone()),
checksum: checkpoint_checksum,
creation_duration_ms: creation_duration.as_millis() as u64,
},
};
// Persist checkpoint
self.checkpoint_manager.save_checkpoint(&checkpoint).await?;
Ok(checkpoint)
}
/// Load a checkpoint and restore processing state
#[instrument(skip(self))]
pub async fn load_checkpoint(&self, checkpoint_id: &str) -> Result<Checkpoint> {
info!("Loading checkpoint: {}", checkpoint_id);
let checkpoint = self.checkpoint_manager.load_checkpoint(checkpoint_id).await?;
// Restore watermarks
for (source_id, watermark) in &checkpoint.watermarks {
self.watermark_manager.update_watermark(source_id, *watermark).await?;
}
// Restore state tracker
{
let mut state_tracker = self.state_tracker.write().await;
for (source_id, position) in &checkpoint.state_snapshot.positions {
let record_count = checkpoint.state_snapshot.record_counts
.get(source_id)
.copied()
.unwrap_or(0);
let bytes_count = checkpoint.state_snapshot.bytes_processed
.get(source_id)
.copied()
.unwrap_or(0);
state_tracker.source_states.insert(
source_id.clone(),
SourceState {
source_id: source_id.clone(),
watermark: Some(position.timestamp),
records_processed: record_count,
bytes_processed: bytes_count,
last_error: None,
lag_metrics: LagMetrics {
current_lag_ms: 0,
average_lag_ms: 0.0,
max_lag_ms: 0,
trend: LagTrend::Stable,
},
}
);
}
}
info!("Checkpoint loaded successfully: {}", checkpoint_id);
Ok(checkpoint)
}
/// Apply merge strategy to integrate incremental changes
#[instrument(skip(self, changes))]
pub async fn merge_changes(
&self,
target: &str,
changes: ProcessedChanges,
strategy: MergeStrategy,
) -> Result<MergeResult> {
self.merge_processor.merge(target, changes, strategy).await
}
}
/// Set of changes detected from a source
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ChangeSet {
/// Change set identifier
pub change_set_id: String,
/// Source identifier
pub source_id: String,
/// Detection timestamp
pub detection_time: DateTime<Utc>,
/// Time range of changes
pub time_range: (DateTime<Utc>, DateTime<Utc>),
/// Total number of changes
pub total_changes: usize,
/// Changes grouped into batches
pub batches: Vec<ChangeBatch>,
}
/// Batch of changes for processing
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ChangeBatch {
/// Batch identifier
pub batch_id: String,
/// Source identifier
pub source_id: String,
/// Changes in this batch
pub changes: Vec<ChangeEntry>,
/// Batch sequence number
pub sequence: u64,
/// Maximum timestamp in batch
pub max_timestamp: Option<DateTime<Utc>>,
/// Minimum timestamp in batch
pub min_timestamp: Option<DateTime<Utc>>,
}
/// Result of processing changes
#[derive(Debug)]
pub struct ProcessedChanges {
/// Change set identifier
pub change_set_id: String,
/// Number of successfully processed records
pub processed_count: u64,
/// Number of skipped records
pub skipped_count: u64,
/// Number of error records
pub error_count: u64,
/// Processing start time
pub processing_time: Instant,
/// Processed records
pub records: Vec<DataRecord>,
/// Processing errors
pub errors: Vec<ProcessingError>,
}
/// Result of merge operation
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MergeResult {
/// Target identifier
pub target: String,
/// Merge strategy used
pub strategy: MergeStrategy,
/// Number of records inserted
pub inserted_count: u64,
/// Number of records updated
pub updated_count: u64,
/// Number of records deleted
pub deleted_count: u64,
/// Number of conflicts resolved
pub conflicts_resolved: u64,
/// Merge duration
pub duration_ms: u64,
/// Merge errors
pub errors: Vec<String>,
}
// Implementation stubs for the various components
impl ChangeDetector {
pub async fn new(strategy: ChangeDetectionStrategy) -> Result<Self> {
Ok(Self {
strategy,
state_tracker: Arc::new(RwLock::new(ChangeState {
last_timestamps: HashMap::new(),
last_versions: HashMap::new(),
hash_signatures: HashMap::new(),
change_log: BTreeMap::new(),
})),
})
}
pub async fn detect_changes(&self, source: &str, position: Option<ProcessingPosition>) -> Result<ChangeSet> {
let detection_start = Utc::now();
let mut changes = Vec::new();
// Get the starting position for change detection
let start_position = position.unwrap_or_else(|| ProcessingPosition {
source_id: source.to_string(),
position_type: PositionType::Timestamp,
position_value: Utc::now().to_rfc3339(),
timestamp: Utc::now(),
});
// Perform change detection based on strategy
match &self.strategy {
ChangeDetectionStrategy::TimestampBased { column, format } => {
changes = self.detect_timestamp_changes(source, column, format, &start_position).await?;
},
ChangeDetectionStrategy::HashBased { columns, algorithm } => {
changes = self.detect_hash_changes(source, columns, algorithm, &start_position).await?;
},
ChangeDetectionStrategy::VersionBased { column, comparison } => {
changes = self.detect_version_changes(source, column, comparison, &start_position).await?;
},
ChangeDetectionStrategy::LogBased { log_source } => {
changes = self.detect_log_changes(source, log_source, &start_position).await?;
},
ChangeDetectionStrategy::TriggerBased { trigger_config } => {
changes = self.detect_trigger_changes(source, trigger_config, &start_position).await?;
},
}
// Group changes into batches
let batches = self.group_changes_into_batches(changes, 1000).await?;
let total_changes = batches.iter().map(|b| b.changes.len()).sum();
// Update state tracker
self.update_detection_state(source, &batches).await?;
// Calculate time range
let min_time = batches.iter()
.filter_map(|b| b.min_timestamp)
.min()
.unwrap_or(detection_start);
let max_time = batches.iter()
.filter_map(|b| b.max_timestamp)
.max()
.unwrap_or(detection_start);
Ok(ChangeSet {
change_set_id: Uuid::new_v4().to_string(),
source_id: source.to_string(),
detection_time: detection_start,
time_range: (min_time, max_time),
total_changes,
batches,
})
}
/// Detect changes based on timestamp comparison
async fn detect_timestamp_changes(
&self,
source: &str,
column: &str,
format: &TimestampFormat,
start_position: &ProcessingPosition,
) -> Result<Vec<ChangeEntry>> {
let mut changes = Vec::new();
// Get the last processed timestamp for this source
let state = self.state_tracker.read().await;
let last_timestamp = state.last_timestamps.get(source)
.copied()
.unwrap_or_else(|| {
// Parse start position timestamp
DateTime::parse_from_rfc3339(&start_position.position_value).map_or_else(|_| Utc::now(), |dt| dt.with_timezone(&Utc))
});
drop(state);
// Simulate querying data source for records modified after last_timestamp
// In a real implementation, this would query the actual data source
let new_records = self.simulate_timestamp_query(source, column, format, last_timestamp).await?;
// Convert records to change entries
for record in new_records {
let change_id = Uuid::new_v4().to_string();
let change_type = if record.contains_key("_operation") {
match record.get("_operation").and_then(super::DataValue::as_string) {
Some(op) if op == "INSERT" => ChangeType::Insert,
Some(op) if op == "UPDATE" => ChangeType::Update,
Some(op) if op == "DELETE" => ChangeType::Delete,
_ => ChangeType::Upsert,
}
} else {
ChangeType::Upsert
};
let timestamp = record.get(column)
.and_then(|v| match v {
DataValue::Timestamp(dt) => Some(*dt),
DataValue::String(s) => DateTime::parse_from_rfc3339(s).ok().map(|dt| dt.with_timezone(&Utc)),
_ => None,
})
.unwrap_or_else(Utc::now);
changes.push(ChangeEntry {
change_id,
change_type,
source_record_id: record.get("id")
.and_then(super::DataValue::as_string)
.unwrap_or_else(|| Uuid::new_v4().to_string()),
timestamp,
changed_fields: record.keys().cloned().collect(),
old_values: None, // Would be populated for updates
new_values: record,
});
}
Ok(changes)
}
/// Detect changes based on hash comparison
async fn detect_hash_changes(
&self,
source: &str,
columns: &[String],
algorithm: &HashAlgorithm,
_start_position: &ProcessingPosition,
) -> Result<Vec<ChangeEntry>> {
let mut changes = Vec::new();
// Get current hash signatures
let state = self.state_tracker.read().await;
let existing_signatures = state.hash_signatures.clone();
drop(state);
// Simulate querying current data and calculating hashes
let current_records = self.simulate_hash_query(source, columns).await?;
for record in current_records {
let record_id = record.get("id")
.and_then(super::DataValue::as_string)
.unwrap_or_else(|| Uuid::new_v4().to_string());
// Calculate hash for specified columns
let hash_value = self.calculate_record_hash(&record, columns, algorithm);
let signature_key = format!("{source}:{record_id}");
// Check if hash has changed
let has_changed = existing_signatures.get(&signature_key) != Some(&hash_value);
if has_changed {
changes.push(ChangeEntry {
change_id: Uuid::new_v4().to_string(),
change_type: if existing_signatures.contains_key(&signature_key) {
ChangeType::Update
} else {
ChangeType::Insert
},
source_record_id: record_id,
timestamp: Utc::now(),
changed_fields: columns.to_vec(),
old_values: None,
new_values: record,
});
}
}
Ok(changes)
}
/// Detect changes based on version comparison
async fn detect_version_changes(
&self,
source: &str,
column: &str,
comparison: &VersionComparison,
_start_position: &ProcessingPosition,
) -> Result<Vec<ChangeEntry>> {
let mut changes = Vec::new();
// Get last processed versions
let state = self.state_tracker.read().await;
let last_versions = state.last_versions.clone();
drop(state);
// Simulate querying for version changes
let records = self.simulate_version_query(source, column).await?;
for record in records {
let record_id = record.get("id")
.and_then(super::DataValue::as_string)
.unwrap_or_else(|| Uuid::new_v4().to_string());
let current_version = record.get(column)
.and_then(super::DataValue::as_string)
.unwrap_or_else(|| "0".to_string());
let version_key = format!("{source}:{record_id}");
let last_version = last_versions.get(&version_key);
let has_changed = match (last_version, comparison) {
(Some(last), VersionComparison::Numeric) => {
let last_num: f64 = last.parse().unwrap_or(0.0);
let current_num: f64 = current_version.parse().unwrap_or(0.0);
current_num > last_num
},
(Some(last), VersionComparison::Lexicographic) => {
current_version > *last
},
(Some(last), VersionComparison::Semantic) => {
self.compare_semantic_versions(&current_version, last) > 0
},
(None, _) => true, // New record
};
if has_changed {
changes.push(ChangeEntry {
change_id: Uuid::new_v4().to_string(),
change_type: if last_version.is_some() {
ChangeType::Update
} else {
ChangeType::Insert
},
source_record_id: record_id,
timestamp: Utc::now(),
changed_fields: record.keys().cloned().collect(),
old_values: None,
new_values: record,
});
}
}
Ok(changes)
}
/// Detect changes from log-based sources (CDC)
async fn detect_log_changes(
&self,
_source: &str,
log_source: &LogSourceConfig,
_start_position: &ProcessingPosition,
) -> Result<Vec<ChangeEntry>> {
let mut changes = Vec::new();
// Simulate reading from CDC log source
match &log_source.source_type {
LogSourceType::DatabaseLog { db_type } => {
changes = self.read_database_log(db_type, log_source).await?;
},
LogSourceType::KafkaChangelog { topic } => {
changes = self.read_kafka_changelog(topic, log_source).await?;
},
LogSourceType::FileChangelog { pattern } => {
changes = self.read_file_changelog(pattern, log_source).await?;
},
}
Ok(changes)
}
/// Detect changes from trigger-based sources
async fn detect_trigger_changes(
&self,
_source: &str,
_trigger_config: &TriggerConfig,
_start_position: &ProcessingPosition,
) -> Result<Vec<ChangeEntry>> {
// Simplified implementation - would integrate with trigger systems
Ok(vec![])
}
// Helper methods for simulating data source queries
async fn simulate_timestamp_query(
&self,
_source: &str,
_column: &str,
_format: &TimestampFormat,
_after: DateTime<Utc>,
) -> Result<Vec<HashMap<String, DataValue>>> {
// Simulate returning some changed records
let mut records = Vec::new();
let now = Utc::now();
for i in 0..5 {
let mut record = HashMap::new();
record.insert("id".to_string(), DataValue::String(format!("record_{i}")));
record.insert("updated_at".to_string(), DataValue::Timestamp(now));
record.insert("data".to_string(), DataValue::String(format!("data_value_{i}")));
records.push(record);
}
Ok(records)
}
async fn simulate_hash_query(
&self,
_source: &str,
_columns: &[String],
) -> Result<Vec<HashMap<String, DataValue>>> {
// Simulate returning current records for hash comparison
let mut records = Vec::new();
for i in 0..3 {
let mut record = HashMap::new();
record.insert("id".to_string(), DataValue::String(format!("record_{i}")));
record.insert("name".to_string(), DataValue::String(format!("name_{i}")));
record.insert("value".to_string(), DataValue::Int(i64::from(i) * 10));
records.push(record);
}
Ok(records)
}
async fn simulate_version_query(
&self,
_source: &str,
_column: &str,
) -> Result<Vec<HashMap<String, DataValue>>> {
// Simulate returning records with version information
let mut records = Vec::new();
for i in 0..3 {
let mut record = HashMap::new();
record.insert("id".to_string(), DataValue::String(format!("record_{i}")));
record.insert("version".to_string(), DataValue::String(format!("1.{i}.0")));
record.insert("data".to_string(), DataValue::String(format!("versioned_data_{i}")));
records.push(record);
}
Ok(records)
}
/// Calculate hash for a record using specified algorithm
fn calculate_record_hash(
&self,
record: &HashMap<String, DataValue>,
columns: &[String],
algorithm: &HashAlgorithm,
) -> String {
use sha2::{Sha256, Digest};
// Extract values for specified columns in deterministic order
let mut values = Vec::new();
for column in columns {
if let Some(value) = record.get(column) {
values.push(serde_json::to_string(value).unwrap_or_default());
}
}
let combined = values.join("|");
match algorithm {
HashAlgorithm::Sha256 => {
let mut hasher = Sha256::new();
hasher.update(combined.as_bytes());
format!("{:x}", hasher.finalize())
},
HashAlgorithm::Md5 => {
// Simplified - would use actual MD5
format!("md5_{}", combined.len())
},
HashAlgorithm::Sha512 => {
// Simplified - would use actual SHA-512
format!("sha512_{}", combined.len())
},
HashAlgorithm::Crc32 => {
// Simplified - would use actual CRC32
format!("crc32_{}", combined.len())
},
}
}
/// Compare semantic versions
fn compare_semantic_versions(&self, version1: &str, version2: &str) -> i32 {
let parse_version = |v: &str| -> Vec<u32> {
v.split('.')
.map(|part| part.parse().unwrap_or(0))
.collect()
};
let v1 = parse_version(version1);
let v2 = parse_version(version2);
for i in 0..std::cmp::max(v1.len(), v2.len()) {
let part1 = v1.get(i).unwrap_or(&0);
let part2 = v2.get(i).unwrap_or(&0);
match part1.cmp(part2) {
std::cmp::Ordering::Greater => return 1,
std::cmp::Ordering::Less => return -1,
std::cmp::Ordering::Equal => continue,
}
}
0
}
/// Group changes into processing batches
async fn group_changes_into_batches(
&self,
changes: Vec<ChangeEntry>,
batch_size: usize,
) -> Result<Vec<ChangeBatch>> {
let mut batches = Vec::new();
let mut current_batch = Vec::new();
let mut sequence = 0u64;
for change in changes {
current_batch.push(change);
if current_batch.len() >= batch_size {
let min_timestamp = current_batch.iter().map(|c| c.timestamp).min();
let max_timestamp = current_batch.iter().map(|c| c.timestamp).max();
batches.push(ChangeBatch {
batch_id: Uuid::new_v4().to_string(),
source_id: current_batch[0].source_record_id.clone(),
changes: current_batch.clone(),
sequence,
min_timestamp,
max_timestamp,
});
current_batch.clear();
sequence += 1;
}
}
// Handle remaining changes
if !current_batch.is_empty() {
let min_timestamp = current_batch.iter().map(|c| c.timestamp).min();
let max_timestamp = current_batch.iter().map(|c| c.timestamp).max();
batches.push(ChangeBatch {
batch_id: Uuid::new_v4().to_string(),
source_id: current_batch[0].source_record_id.clone(),
changes: current_batch,
sequence,
min_timestamp,
max_timestamp,
});
}
Ok(batches)
}
/// Update detection state after processing changes
async fn update_detection_state(&self, source: &str, batches: &[ChangeBatch]) -> Result<()> {
let mut state = self.state_tracker.write().await;
// Update last processed timestamp
if let Some(latest_timestamp) = batches.iter()
.filter_map(|b| b.max_timestamp)
.max() {
state.last_timestamps.insert(source.to_string(), latest_timestamp);
}
// Update version tracking
for batch in batches {
for change in &batch.changes {
if let Some(version) = change.new_values.get("version")
.and_then(super::DataValue::as_string) {
let key = format!("{}:{}", source, change.source_record_id);
state.last_versions.insert(key, version);
}
// Log change entry
state.change_log.insert(change.timestamp, change.clone());
}
}
// Cleanup old entries (keep last 1000)
while state.change_log.len() > 1000 {
if let Some(oldest_key) = state.change_log.keys().next().copied() {
state.change_log.remove(&oldest_key);
}
}
Ok(())
}
// CDC source reading methods (simplified implementations)
async fn read_database_log(
&self,
_db_type: &DatabaseType,
_config: &LogSourceConfig,
) -> Result<Vec<ChangeEntry>> {
// Simulate reading from database transaction log
Ok(vec![])
}
async fn read_kafka_changelog(
&self,
_topic: &str,
_config: &LogSourceConfig,
) -> Result<Vec<ChangeEntry>> {
// Simulate reading from Kafka changelog topic
Ok(vec![])
}
async fn read_file_changelog(
&self,
_pattern: &str,
_config: &LogSourceConfig,
) -> Result<Vec<ChangeEntry>> {
// Simulate reading from file-based changelog
Ok(vec![])
}
}
impl CheckpointManager {
#[must_use]
pub fn new(config: CheckpointConfig, state_manager: Arc<StateManager>) -> Self {
Self {
config,
state_manager,
active_checkpoints: Arc::new(RwLock::new(HashMap::new())),
}
}
pub async fn save_checkpoint(&self, _checkpoint: &Checkpoint) -> Result<()> {
// Implementation would save checkpoint to persistent storage
Ok(())
}
pub async fn load_checkpoint(&self, _checkpoint_id: &str) -> Result<Checkpoint> {
// Implementation would load checkpoint from persistent storage
Err(EtlError::Other("Checkpoint not found".to_string()))
}
}
impl Deduplicator {
pub async fn new(strategy: DeduplicationStrategy) -> Result<Self> {
let bloom_filter = match &strategy {
DeduplicationStrategy::BloomFilter { expected_elements, false_positive_rate } => {
Some(BloomFilter::new(*expected_elements, *false_positive_rate))
},
_ => None,
};
Ok(Self {
strategy,
cache: Arc::new(RwLock::new(DeduplicationCache {
hash_cache: HashMap::new(),
key_cache: HashMap::new(),
bloom_filter,
})),
})
}
pub async fn should_process(&self, change: &ChangeEntry) -> Result<bool> {
match &self.strategy {
DeduplicationStrategy::Hash { hash_columns, hash_algorithm } => {
self.check_hash_deduplication(change, hash_columns, hash_algorithm).await
},
DeduplicationStrategy::Key { key_columns } => {
self.check_key_deduplication(change, key_columns).await
},
DeduplicationStrategy::BloomFilter { .. } => {
self.check_bloom_filter_deduplication(change).await
},
DeduplicationStrategy::None => Ok(true),
}
}
/// Check hash-based deduplication
async fn check_hash_deduplication(
&self,
change: &ChangeEntry,
hash_columns: &[String],
hash_algorithm: &HashAlgorithm,
) -> Result<bool> {
let hash_value = self.calculate_change_hash(change, hash_columns, hash_algorithm);
let mut cache = self.cache.write().await;
let identifier = format!("{}:{}", change.source_record_id, hash_value);
let current_time = Utc::now();
if let Some(entry) = cache.hash_cache.get_mut(&identifier) {
// Found duplicate
entry.last_seen = current_time;
entry.count += 1;
Ok(false) // Don't process duplicate
} else {
// New entry
cache.hash_cache.insert(identifier, CacheEntry {
identifier: hash_value,
first_seen: current_time,
last_seen: current_time,
count: 1,
});
Ok(true) // Process new entry
}
}
/// Check key-based deduplication
async fn check_key_deduplication(
&self,
change: &ChangeEntry,
key_columns: &[String],
) -> Result<bool> {
let key_value = self.extract_key_value(change, key_columns);
let mut cache = self.cache.write().await;
let current_time = Utc::now();
if let Some(entry) = cache.key_cache.get_mut(&key_value) {
// Check if this is truly a duplicate or an update
// For updates, we should process if the content has changed
if let ChangeType::Update = change.change_type {
entry.last_seen = current_time;
entry.count += 1;
Ok(true) // Process updates
} else {
entry.last_seen = current_time;
entry.count += 1;
Ok(false) // Don't process duplicates
}
} else {
// New entry
cache.key_cache.insert(key_value.clone(), CacheEntry {
identifier: key_value,
first_seen: current_time,
last_seen: current_time,
count: 1,
});
Ok(true) // Process new entry
}
}
/// Check bloom filter-based deduplication
async fn check_bloom_filter_deduplication(&self, change: &ChangeEntry) -> Result<bool> {
let mut cache = self.cache.write().await;
if let Some(ref mut bloom_filter) = cache.bloom_filter {
let identifier = format!("{}:{}", change.source_record_id, change.timestamp.timestamp());
if bloom_filter.contains(&identifier) {
// Possibly seen before (false positives possible)
// For critical applications, combine with exact cache
Ok(false)
} else {
// Definitely not seen before
bloom_filter.insert(&identifier);
Ok(true)
}
} else {
// No bloom filter configured
Ok(true)
}
}
/// Calculate hash for change entry
fn calculate_change_hash(
&self,
change: &ChangeEntry,
hash_columns: &[String],
algorithm: &HashAlgorithm,
) -> String {
use sha2::{Sha256, Digest};
// Create deterministic representation of the change
let mut values = Vec::new();
// Include change metadata
values.push(change.source_record_id.clone());
values.push(change.change_type.to_string());
// Include specified columns
for column in hash_columns {
if let Some(value) = change.new_values.get(column) {
values.push(serde_json::to_string(value).unwrap_or_default());
}
}
let combined = values.join("|");
match algorithm {
HashAlgorithm::Sha256 => {
let mut hasher = Sha256::new();
hasher.update(combined.as_bytes());
format!("{:x}", hasher.finalize())
},
HashAlgorithm::Md5 => {
// Simplified MD5 implementation
format!("md5_{:x}", self.simple_hash(&combined))
},
HashAlgorithm::Sha512 => {
// Simplified SHA-512 implementation
format!("sha512_{:x}", self.simple_hash(&combined))
},
HashAlgorithm::Crc32 => {
// Simplified CRC32 implementation
format!("crc32_{:x}", self.simple_hash(&combined))
},
}
}
/// Extract key value from change entry
fn extract_key_value(&self, change: &ChangeEntry, key_columns: &[String]) -> String {
let mut key_parts = Vec::new();
for column in key_columns {
if let Some(value) = change.new_values.get(column) {
key_parts.push(serde_json::to_string(value).unwrap_or_default());
} else {
key_parts.push("NULL".to_string());
}
}
key_parts.join(":")
}
/// Simple hash function for fallback implementations
fn simple_hash(&self, input: &str) -> u64 {
use std::collections::hash_map::DefaultHasher;
use std::hash::{Hash, Hasher};
let mut hasher = DefaultHasher::new();
input.hash(&mut hasher);
hasher.finish()
}
/// Clean up old cache entries to prevent memory leaks
pub async fn cleanup_cache(&self, retention_period: Duration) -> Result<()> {
let mut cache = self.cache.write().await;
let cutoff_time = Utc::now() - retention_period;
// Clean hash cache
cache.hash_cache.retain(|_, entry| entry.last_seen > cutoff_time);
// Clean key cache
cache.key_cache.retain(|_, entry| entry.last_seen > cutoff_time);
Ok(())
}
/// Get deduplication statistics
pub async fn get_statistics(&self) -> DeduplicationStatistics {
let cache = self.cache.read().await;
let hash_entries = cache.hash_cache.len();
let key_entries = cache.key_cache.len();
let total_hash_hits = cache.hash_cache.values().map(|e| e.count).sum::<u64>();
let total_key_hits = cache.key_cache.values().map(|e| e.count).sum::<u64>();
DeduplicationStatistics {
hash_cache_entries: hash_entries,
key_cache_entries: key_entries,
total_hash_duplicates: total_hash_hits,
total_key_duplicates: total_key_hits,
bloom_filter_entries: cache.bloom_filter.as_ref()
.map_or(0, |bf| bf.current_count),
}
}
}
/// Statistics for deduplication operations
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DeduplicationStatistics {
/// Number of entries in hash cache
pub hash_cache_entries: usize,
/// Number of entries in key cache
pub key_cache_entries: usize,
/// Total duplicate hits in hash cache
pub total_hash_duplicates: u64,
/// Total duplicate hits in key cache
pub total_key_duplicates: u64,
/// Number of entries in bloom filter
pub bloom_filter_entries: usize,
}
impl ChangeType {
fn to_string(&self) -> String {
match self {
Self::Insert => "INSERT".to_string(),
Self::Update => "UPDATE".to_string(),
Self::Delete => "DELETE".to_string(),
Self::Upsert => "UPSERT".to_string(),
}
}
}
impl BloomFilter {
/// Create a new bloom filter
#[must_use]
pub fn new(expected_elements: usize, false_positive_rate: f64) -> Self {
let bit_array_size = Self::calculate_bit_array_size(expected_elements, false_positive_rate);
let hash_functions = Self::calculate_hash_functions(bit_array_size, expected_elements);
Self {
bits: vec![false; bit_array_size],
hash_functions,
expected_elements,
current_count: 0,
}
}
/// Calculate optimal bit array size
fn calculate_bit_array_size(expected_elements: usize, false_positive_rate: f64) -> usize {
let m = -(expected_elements as f64 * false_positive_rate.ln()) / (2.0_f64.ln().powi(2));
m.ceil() as usize
}
/// Calculate optimal number of hash functions
fn calculate_hash_functions(bit_array_size: usize, expected_elements: usize) -> usize {
let k = (bit_array_size as f64 / expected_elements as f64) * 2.0_f64.ln();
(k.ceil() as usize).max(1)
}
/// Insert an element into the bloom filter
pub fn insert(&mut self, element: &str) {
let hashes = self.hash_element(element);
for &hash_value in &hashes {
let index = hash_value % self.bits.len();
self.bits[index] = true;
}
self.current_count += 1;
}
/// Check if an element might be in the filter
#[must_use]
pub fn contains(&self, element: &str) -> bool {
let hashes = self.hash_element(element);
for &hash_value in &hashes {
let index = hash_value % self.bits.len();
if !self.bits[index] {
return false; // Definitely not in set
}
}
true // Might be in set (or false positive)
}
/// Generate multiple hash values for an element
fn hash_element(&self, element: &str) -> Vec<usize> {
use std::collections::hash_map::DefaultHasher;
use std::hash::{Hash, Hasher};
let mut hashes = Vec::with_capacity(self.hash_functions);
// Use multiple hash functions based on a single hash with different salts
let mut hasher = DefaultHasher::new();
element.hash(&mut hasher);
let primary_hash = hasher.finish();
for i in 0..self.hash_functions {
let hash = primary_hash.wrapping_add(i as u64 * 0x9E3779B9);
hashes.push(hash as usize);
}
hashes
}
/// Get current false positive probability
#[must_use]
pub fn current_false_positive_rate(&self) -> f64 {
if self.current_count == 0 {
return 0.0;
}
let filled_bits = self.bits.iter().filter(|&&bit| bit).count();
let probability = filled_bits as f64 / self.bits.len() as f64;
probability.powi(self.hash_functions as i32)
}
/// Clear the bloom filter
pub fn clear(&mut self) {
self.bits.fill(false);
self.current_count = 0;
}
}
impl StateTracker {
#[must_use]
pub fn new() -> Self {
Self {
source_states: HashMap::new(),
global_stats: ProcessingStats {
total_records: 0,
total_bytes: 0,
start_time: Utc::now(),
last_processing_time: None,
processing_rate: 0.0,
throughput: 0.0,
},
error_tracker: ErrorTracker {
error_history: VecDeque::new(),
error_counts: HashMap::new(),
last_error_time: None,
},
}
}
}
impl WatermarkManager {
#[must_use]
pub fn new() -> Self {
Self {
source_watermarks: Arc::new(RwLock::new(HashMap::new())),
global_watermark: Arc::new(RwLock::new(None)),
listeners: Arc::new(Mutex::new(Vec::new())),
}
}
pub async fn update_watermark(&self, source_id: &str, watermark: DateTime<Utc>) -> Result<()> {
let mut watermarks = self.source_watermarks.write().await;
watermarks.insert(source_id.to_string(), watermark);
Ok(())
}
pub async fn get_all_watermarks(&self) -> HashMap<String, DateTime<Utc>> {
self.source_watermarks.read().await.clone()
}
}
impl MergeProcessor {
#[must_use]
pub fn new() -> Self {
Self {
strategies: HashMap::new(),
conflict_rules: Vec::new(),
}
}
pub async fn merge(
&self,
_target: &str,
_changes: ProcessedChanges,
strategy: MergeStrategy,
) -> Result<MergeResult> {
// Simplified implementation - would contain actual merge logic
Ok(MergeResult {
target: _target.to_string(),
strategy,
inserted_count: 0,
updated_count: 0,
deleted_count: 0,
conflicts_resolved: 0,
duration_ms: 0,
errors: Vec::new(),
})
}
}
impl Default for StateTracker {
fn default() -> Self {
Self::new()
}
}
impl Default for WatermarkManager {
fn default() -> Self {
Self::new()
}
}
impl Default for MergeProcessor {
fn default() -> Self {
Self::new()
}
}