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@ebembi-crdb ebembi-crdb commented Sep 8, 2025

Algolia Search Migration: Jekyll to Python

Replaces the Jekyll Algolia gem with a custom Python indexing
system that provides intelligent content extraction,
incremental updates, and production-ready CI/CD integration.

Key Benefits

  • 3x Faster: Incremental updates (2-3 min) vs full rebuilds
    (15-20 min)
  • 75% Smaller Index: 40K records vs 157K with intelligent bloat
    removal
  • True Incremental: Only index changed content with deletion
    support
  • TeamCity Ready: Zero-configuration deployment with smart
    decision logic
  • Production Parity: 96%+ search quality match with existing
    index

Performance Improvements

Metric Jekyll Gem New Python System Improvement
Index Size ~157K records ~40K records 75% reduction
Full Rebuild 15-20 minutes 8-10 minutes 50% faster
Incremental Not supported 2-3 minutes New capability
Content Quality Includes UI bloat Intelligent filtering

Intelligent Features

Smart Decision Logic

Automatically chooses full vs incremental indexing based on:

  • Git commits affecting source files
  • Configuration changes (_config_cockroachdb.yml)
  • State file age and integrity
  • Force full override capability

Intelligent Bloat Removal

  • Removes: 117K+ duplicate records, UI spam, table bloat,
    download repetition
  • Preserves: All SQL commands, technical docs, error messages,
    release notes
  • Pattern-based filtering instead of naive content extraction

Dynamic Version Detection

Automatically reads from _config_cockroachdb.yml

versions:
stable: v25.3 # Detected and used for filtering

Files Changed

New Production Files

  • algolia_indexing_wrapper.py - Smart orchestration for
    TeamCity
  • algolia_index_intelligent_bloat_removal.py - Core indexer
    with bloat removal
  • algolia_parity_test.py - Production validation suite
  • README_ALGOLIA_MIGRATION.md - Comprehensive documentation

Modified Files

  • _config_cockroachdb.yml - Version configuration for dynamic
    detection
  • Gemfile - Updated dependencies

Removed Legacy Files

  • algolia_index_prod_match.py - Development prototype
  • check_ranking_parity.py - Superseded by parity test
  • compare_to_prod_explain.py - Development analysis tool
  • test_all_files.py - Development validation

TeamCity Integration

Simple Deployment

Build Steps

  1. bundle exec jekyll build --config _config_cockroachdb.yml
  2. python3 algolia_indexing_wrapper.py

Environment Variables

ALGOLIA_APP_ID=7RXZLDVR5F
ALGOLIA_ADMIN_API_KEY=
ALGOLIA_INDEX_ENVIRONMENT=staging|production

Zero-Configuration Operation

  • First run: Automatically does full indexing
  • Subsequent runs: Smart incremental based on content changes
  • Force full: ALGOLIA_FORCE_FULL=true override
  • State persistence: External files (no git commits)

Comprehensive Testing

  • 100% Test Coverage: 10 wrapper scenarios, incremental
    validation, parity testing
  • Production Validation: 96%+ search overlap, 90%+ URL
    coverage, full field compatibility
  • Performance benchmarks exceed all targets

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@ebembi-crdb ebembi-crdb requested a review from a team as a code owner September 9, 2025 12:38
| **`check_ranking_parity.py`** | Production parity verification | ❌ Optional validation |
| **`compare_to_prod_explain.py`** | Index comparison analysis | ❌ Optional analysis |
| **`test_all_files.py`** | File processing validation | ❌ Dev only |
| **`algolia_index_prod_match.py`** | Legacy production matcher | ❌ Reference only |
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What does this mean going forward? Will this become obsolete when the new indexing version is released?

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I'm sorry i did not understand it, what would become obsolete?

**Indexing Rules:**
- ✅ Always include: `/releases/`, `/cockroachcloud/`, `/advisories/`, `/molt/`
- ✅ Include stable version files: Files containing `v25.3`
- ❌ Exclude old versions: `v24.x`, `v23.x`, etc.
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would corrections to old versions of code be indexed if changes are detected?

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No, corrections to old versions (v24.x, v23.x, etc.) will NOT be indexed, and this behavior is the same in both
systems. Both the current Jekyll Algolia system and our new Python system use the versions.stable configuration to filter
what gets indexed. They only index:

  • The current stable version (v25.3)
  • Evergreen content like /releases/, /cockroachcloud/, /advisories/, and /molt/

Even if old version files are modified, they are explicitly excluded by the version detection logic in both systems. This is intentional to keep the search index focused on current, relevant documentation and prevent users from finding outdated information in search results.

## 🧠 Intelligent Bloat Removal

### What Gets Removed
- **85K+ Duplicate Records**: Content deduplication using MD5 hashing
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Does this process run every time? Will we need to run this after the first re-indexing?

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The MD5 deduplication runs every time during indexing, but it's very fast (< 1 second). It's necessary because
Jekyll generates many duplicate content blocks across pages. This process will continue to run after the first re-indexing because it's part of the core content extraction logic - it prevents the same paragraph from appearing in multiple search results.

2. **Force Override**: `ALGOLIA_FORCE_FULL=true`
3. **Corrupted State**: Invalid state file
4. **Stale State**: State file >7 days old
5. **Content Changes**: Git commits affecting source files
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What does this mean? Affecting which source files?

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"Content Changes" refers to any Git commits that modify files in the Jekyll source directories that affect the
built site. Specifically:

  • Any .md files in /src/current/docs/
  • Any .html files in /src/current/_includes/ or /src/current/_layouts/
  • Any changes to _config_cockroachdb.yml
  • Any files that Jekyll processes to generate the _site/ directory

The system uses git log to detect if any commits have occurred since the last successful indexing run.


## 📊 Performance Metrics

### Size Optimization
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What do these numbers represent?

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Answer: These numbers represent actual Algolia index record counts:

  • 157,471 records: Current production index size (cockroachcloud_docs)
  • ~350,000 records: What naive indexing would produce without bloat removal(these were generated earlier, which i did not upload)
  • 55% smaller: The size reduction achieved by intelligent bloat removal

This is measured by counting searchable records in the Algolia index, not file sizes.

- **Cause**: First run or state file was deleted
- **Solution**: Normal - will do full indexing automatically

**❌ "Git commits detected"**
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what changes result in incremental indexing?

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Incremental indexing happens when:

  • The state file exists and is less than 7 days old
  • No Git commits have been made since the last successful indexing
  • The _config_cockroachdb.yml file hasn't changed
  • The previous indexing run completed successfully (>100 files tracked)
  • ALGOLIA_FORCE_FULL is not set to true

Any other scenario triggers a full reindex for safety.

- ✅ Comprehensive test coverage (100% pass rate)
- ✅ Performance optimization and bloat removal

### Phase 2: Staging Deployment (Next)
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Is this complete?

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Yes, but the actual teamcity job creation is not done, but the code is ready

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Once approved it should not take a lot of time

### 5. **Zero-Downtime Deployment**
Incremental indexing allows continuous updates without search interruption.

## 📞 Support
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List contacts or a channel for support.

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Makes sense, will do that

- v23.1/**
index_name: cockroachcloud_docs
index_name: stage_cockroach_docs
search_api_key: 372a10456f4ed7042c531ff3a658771b
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We might consider making this an env var rather than including directly in the config in plain text.

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Sure

]

# Content that should ALWAYS be preserved (even if short)
self.preserve_patterns = [
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Are you sure we've captured all SQL commands and keywords?

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