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Part 4 of 7-part Telemetry Implementation Stack

This layer adds event emission and per-statement aggregation with smart batching.

Summary

Implements TelemetryEventEmitter for event-driven telemetry and MetricsAggregator for efficient per-statement aggregation with smart flushing.

Components

TelemetryEventEmitter (lib/telemetry/TelemetryEventEmitter.ts)

Event-driven architecture using Node.js EventEmitter:

  • Type-safe emission methods for each event type
  • Respects telemetryEnabled configuration flag
  • All exceptions swallowed and logged at debug level only
  • Zero performance impact when disabled (early return)

Event Types:

  • connection.open - Successful connection establishment
  • statement.start - Statement execution begins
  • statement.complete - Statement execution completes
  • cloudfetch.chunk - CloudFetch chunk downloaded
  • error - Exception occurred with terminal classification

MetricsAggregator (lib/telemetry/MetricsAggregator.ts)

Per-statement aggregation with smart batching:

Aggregation Strategy:

  • Connection events → emit immediately (no aggregation)
  • Statement events → buffer until completeStatement() called
  • Terminal errors → flush immediately (critical failures)
  • Retryable errors → buffer until statement complete (optimize batching)

Flush Triggers:

  • Batch size reached (default: 100 metrics)
  • Periodic timer fired (default: 5000ms)
  • Terminal exception occurred (immediate flush)
  • Manual flush() called

Memory Management:

  • Bounded buffers prevent memory leaks
  • Completed statements removed from memory
  • Periodic timer cleanup

Smart Batching Benefits

  • Reduces HTTP overhead: Fewer export calls
  • Optimizes bandwidth: Batch multiple metrics
  • Critical error priority: Terminal errors flushed immediately
  • Efficient aggregation: Per-statement grouping reduces data size

Testing

  • 31 unit tests for TelemetryEventEmitter (100% function coverage)
  • 32 unit tests for MetricsAggregator (94% line, 82% branch coverage)
  • Tests verify exception swallowing (CRITICAL requirement)
  • Tests verify debug-only logging (CRITICAL requirement)
  • Tests verify batch size and timer triggers
  • Tests verify terminal vs retryable error handling

Next Steps

This PR is followed by:

  • [5/7] Export: DatabricksTelemetryExporter
  • [6/7] Integration: Wire into DBSQLClient
  • [7/7] Testing & Documentation

Dependencies

Depends on:

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The emission format confirms to the telemetry proto, marked this ready for review.

@samikshya-db samikshya-db force-pushed the telemetry-3-client-management branch from 87d1e85 to 32003e9 Compare January 29, 2026 20:21
samikshya-db and others added 7 commits January 29, 2026 20:21
This is part 2 of 7 in the telemetry implementation stack.

Components:
- CircuitBreaker: Per-host endpoint protection with state management
- FeatureFlagCache: Per-host feature flag caching with reference counting
- CircuitBreakerRegistry: Manages circuit breakers per host

Circuit Breaker:
- States: CLOSED (normal), OPEN (failing), HALF_OPEN (testing recovery)
- Default: 5 failures trigger OPEN, 60s timeout, 2 successes to CLOSE
- Per-host isolation prevents cascade failures
- All state transitions logged at debug level

Feature Flag Cache:
- Per-host caching with 15-minute TTL
- Reference counting for connection lifecycle management
- Automatic cache expiration and refetch
- Context removed when refCount reaches zero

Testing:
- 32 comprehensive unit tests for CircuitBreaker
- 29 comprehensive unit tests for FeatureFlagCache
- 100% function coverage, >80% line/branch coverage
- CircuitBreakerStub for testing other components

Dependencies:
- Builds on [1/7] Types and Exception Classifier
This is part 3 of 7 in the telemetry implementation stack.

Components:
- TelemetryClient: HTTP client for telemetry export per host
- TelemetryClientProvider: Manages per-host client lifecycle with reference counting

TelemetryClient:
- Placeholder HTTP client for telemetry export
- Per-host isolation for connection pooling
- Lifecycle management (open/close)
- Ready for future HTTP implementation

TelemetryClientProvider:
- Reference counting tracks connections per host
- Automatically creates clients on first connection
- Closes and removes clients when refCount reaches zero
- Thread-safe per-host management

Design Pattern:
- Follows JDBC driver pattern for resource management
- One client per host, shared across connections
- Efficient resource utilization
- Clean lifecycle management

Testing:
- 31 comprehensive unit tests for TelemetryClient
- 31 comprehensive unit tests for TelemetryClientProvider
- 100% function coverage, >80% line/branch coverage
- Tests verify reference counting and lifecycle

Dependencies:
- Builds on [1/7] Types and [2/7] Infrastructure
This is part 4 of 7 in the telemetry implementation stack.

Components:
- TelemetryEventEmitter: Event-based telemetry emission using Node.js EventEmitter
- MetricsAggregator: Per-statement aggregation with batch processing

TelemetryEventEmitter:
- Event-driven architecture using Node.js EventEmitter
- Type-safe event emission methods
- Respects telemetryEnabled configuration flag
- All exceptions swallowed and logged at debug level
- Zero impact when disabled

Event Types:
- connection.open: On successful connection
- statement.start: On statement execution
- statement.complete: On statement finish
- cloudfetch.chunk: On chunk download
- error: On exception with terminal classification

MetricsAggregator:
- Per-statement aggregation by statement_id
- Connection events emitted immediately (no aggregation)
- Statement events buffered until completeStatement() called
- Terminal exceptions flushed immediately
- Retryable exceptions buffered until statement complete
- Batch size (default 100) triggers flush
- Periodic timer (default 5s) triggers flush

Batching Strategy:
- Optimizes export efficiency
- Reduces HTTP overhead
- Smart flushing based on error criticality
- Memory efficient with bounded buffers

Testing:
- 31 comprehensive unit tests for TelemetryEventEmitter
- 32 comprehensive unit tests for MetricsAggregator
- 100% function coverage, >90% line/branch coverage
- Tests verify exception swallowing
- Tests verify debug-only logging

Dependencies:
- Builds on [1/7] Types, [2/7] Infrastructure, [3/7] Client Management
Implements getAuthHeaders() method for authenticated REST API requests:
- Added getAuthHeaders() to IClientContext interface
- Implemented in DBSQLClient using authProvider.authenticate()
- Updated FeatureFlagCache to fetch from connector-service API with auth
- Added driver version support for version-specific feature flags
- Replaced placeholder implementation with actual REST API calls

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Change feature flag endpoint to use NODEJS client type
- Fix telemetry endpoints to /telemetry-ext and /telemetry-unauth
- Update payload to match proto with system_configuration
- Add shared buildUrl utility for protocol handling

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Change payload structure to match JDBC: uploadTime, items, protoLogs
- protoLogs contains JSON-stringified TelemetryFrontendLog objects
- Remove workspace_id (JDBC doesn't populate it)
- Remove debug logs added during testing
- Fix import order in FeatureFlagCache
- Replace require() with import for driverVersion
- Fix variable shadowing
- Disable prefer-default-export for urlUtils
@samikshya-db samikshya-db force-pushed the telemetry-4-event-aggregation branch from 31f847e to 29376a6 Compare January 29, 2026 20:21
Fix TypeScript compilation error by implementing getAuthHeaders
method required by IClientContext interface.
@samikshya-db samikshya-db force-pushed the telemetry-4-event-aggregation branch from e5a0d5c to 4effbc5 Compare January 29, 2026 20:27
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2 participants