Implements search for custom fields #266
6 changed files with 1380 additions and 46 deletions
243
docs/custom-fields-search-performance.md
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243
docs/custom-fields-search-performance.md
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# Performance Analysis: Custom Fields in Search Vector
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## Current Implementation
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The search vector includes custom field values via database triggers that:
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1. Aggregate all custom field values for a member
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2. Extract values from JSONB format
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3. Add them to the search_vector with weight 'C'
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## Performance Considerations
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### 1. Trigger Performance on Member Updates
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**Current Implementation:**
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- `members_search_vector_trigger()` executes a subquery on every INSERT/UPDATE:
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```sql
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SELECT string_agg(...) FROM custom_field_values WHERE member_id = NEW.id
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```
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**Performance Impact:**
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- ✅ **Good:** Index on `member_id` exists (`custom_field_values_member_id_idx`)
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- ✅ **Good:** Subquery only runs for the affected member
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- ⚠️ **Potential Issue:** With many custom fields per member (e.g., 50+), aggregation could be slower
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- ⚠️ **Potential Issue:** JSONB extraction (`value->>'_union_value'`) is relatively fast but adds overhead
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**Expected Performance:**
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- **Small scale (< 10 custom fields per member):** Negligible impact (< 5ms per operation)
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- **Medium scale (10-30 custom fields):** Minor impact (5-20ms per operation)
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- **Large scale (30+ custom fields):** Noticeable impact (20-50ms+ per operation)
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### 2. Trigger Performance on Custom Field Value Changes
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**Current Implementation:**
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- `update_member_search_vector_from_custom_field_value()` executes on every INSERT/UPDATE/DELETE on `custom_field_values`
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- **Optimized:** Only fetches required member fields (not full record) to reduce overhead
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- **Optimized:** Skips re-aggregation on UPDATE if value hasn't actually changed
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- Aggregates all custom field values, then updates member search_vector
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**Performance Impact:**
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- ✅ **Good:** Index on `member_id` ensures fast lookup
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- ✅ **Optimized:** Only required fields are fetched (first_name, last_name, email, etc.) instead of full record
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- ✅ **Optimized:** UPDATE operations that don't change the value skip expensive re-aggregation (early return)
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- ⚠️ **Note:** Re-aggregation is still necessary when values change (required for search_vector consistency)
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- ⚠️ **Critical:** Bulk operations (e.g., importing 1000 members with custom fields) will trigger this for each row
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**Expected Performance:**
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- **Single operation (value changed):** 3-10ms per custom field value change (improved from 5-15ms)
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- **Single operation (value unchanged):** <1ms (early return, no aggregation)
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- **Bulk operations:** Could be slow (consider disabling trigger temporarily)
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### 3. Search Vector Size
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**Current Constraints:**
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- String values: max 10,000 characters per custom field
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- No limit on number of custom fields per member
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- tsvector has no explicit size limit, but very large vectors can cause issues
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**Potential Issues:**
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- **Theoretical maximum:** If a member has 100 custom fields with 10,000 char strings each, the aggregated text could be ~1MB
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- **Practical concern:** Very large search vectors (> 100KB) can slow down:
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- Index updates (GIN index maintenance)
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- Search queries (tsvector operations)
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- Trigger execution time
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**Recommendation:**
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- Monitor search_vector size in production
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- Consider limiting total custom field content per member if needed
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- PostgreSQL can handle large tsvectors, but performance degrades gradually
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### 4. Initial Migration Performance
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**Current Implementation:**
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- Updates ALL members in a single transaction:
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```sql
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UPDATE members m SET search_vector = ... (subquery for each member)
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```
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**Performance Impact:**
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- ⚠️ **Potential Issue:** With 10,000+ members, this could take minutes
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- ⚠️ **Potential Issue:** Single transaction locks the members table
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- ⚠️ **Potential Issue:** If migration fails, entire rollback required
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**Recommendation:**
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- For large datasets (> 10,000 members), consider:
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- Batch updates (e.g., 1000 members at a time)
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- Run during maintenance window
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- Monitor progress
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### 5. Search Query Performance
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**Current Implementation:**
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- Full-text search uses GIN index on `search_vector` (fast)
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- Additional LIKE queries on `custom_field_values` for substring matching:
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```sql
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EXISTS (SELECT 1 FROM custom_field_values WHERE member_id = id AND ... LIKE ...)
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```
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**Performance Impact:**
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- ✅ **Good:** GIN index on `search_vector` is very fast
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- ⚠️ **Potential Issue:** LIKE queries on JSONB are not indexed (sequential scan)
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- ⚠️ **Potential Issue:** EXISTS subquery runs for every search, even if search_vector match is found
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- ⚠️ **Potential Issue:** With many custom fields, the LIKE queries could be slow
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**Expected Performance:**
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- **With GIN index match:** Very fast (< 10ms for typical queries)
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- **Without GIN index match (fallback to LIKE):** Slower (10-100ms depending on data size)
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- **Worst case:** Sequential scan of all custom_field_values for all members
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## Recommendations
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### Short-term (Current Implementation)
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1. **Monitor Performance:**
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- Add logging for trigger execution time
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- Monitor search_vector size distribution
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- Track search query performance
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2. **Index Verification:**
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- Ensure `custom_field_values_member_id_idx` exists and is used
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- Verify GIN index on `search_vector` is maintained
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3. **Bulk Operations:**
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- For bulk imports, consider temporarily disabling the custom_field_values trigger
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- Re-enable and update search_vectors in batch after import
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### Medium-term Optimizations
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1. **✅ Optimize Trigger Function (FULLY IMPLEMENTED):**
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- ✅ Only fetch required member fields instead of full record (reduces overhead)
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- ✅ Skip re-aggregation on UPDATE if value hasn't actually changed (early return optimization)
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2. **Limit Search Vector Size:**
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- Truncate very long custom field values (e.g., first 1000 chars)
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- Add warning if aggregated text exceeds threshold
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3. **Optimize LIKE Queries:**
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- Consider adding a generated column for searchable text
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- Or use a materialized view for custom field search
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### Long-term Considerations
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1. **Alternative Approaches:**
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- Separate search index table for custom fields
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- Use Elasticsearch or similar for advanced search
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- Materialized view for search optimization
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2. **Scaling Strategy:**
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- If performance becomes an issue with 100+ custom fields per member:
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- Consider limiting which custom fields are searchable
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- Use a separate search service
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- Implement search result caching
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## Performance Benchmarks (Estimated)
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Based on typical PostgreSQL performance:
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| Scenario | Members | Custom Fields/Member | Expected Impact |
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|----------|---------|---------------------|-----------------|
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| Small | < 1,000 | < 10 | Negligible (< 5ms per operation) |
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| Medium | 1,000-10,000 | 10-30 | Minor (5-20ms per operation) |
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| Large | 10,000-100,000 | 30-50 | Noticeable (20-50ms per operation) |
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| Very Large | > 100,000 | 50+ | Significant (50-200ms+ per operation) |
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## Monitoring Queries
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```sql
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-- Check search_vector size distribution
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SELECT
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pg_size_pretty(octet_length(search_vector::text)) as size,
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COUNT(*) as member_count
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FROM members
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WHERE search_vector IS NOT NULL
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GROUP BY octet_length(search_vector::text)
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ORDER BY octet_length(search_vector::text) DESC
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LIMIT 20;
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-- Check average custom fields per member
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SELECT
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AVG(custom_field_count) as avg_custom_fields,
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MAX(custom_field_count) as max_custom_fields
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FROM (
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SELECT member_id, COUNT(*) as custom_field_count
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FROM custom_field_values
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GROUP BY member_id
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) subq;
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-- Check trigger execution time (requires pg_stat_statements)
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SELECT
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mean_exec_time,
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calls,
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query
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FROM pg_stat_statements
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WHERE query LIKE '%members_search_vector_trigger%'
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ORDER BY mean_exec_time DESC;
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```
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## Code Quality Improvements (Post-Review)
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### Refactored Search Implementation
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The search query has been refactored for better maintainability and clarity:
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**Before:** Single large OR-chain with mixed search types (hard to maintain)
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**After:** Modular functions grouped by search type:
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- `build_fts_filter/1` - Full-text search (highest priority, fastest)
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- `build_substring_filter/2` - Substring matching on structured fields
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- `build_custom_field_filter/1` - Custom field value search (JSONB LIKE)
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- `build_fuzzy_filter/2` - Trigram/fuzzy matching for names and streets
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**Benefits:**
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- ✅ Clear separation of concerns
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- ✅ Easier to maintain and test
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- ✅ Better documentation of search priority
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- ✅ Easier to optimize individual search types
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**Search Priority Order:**
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1. **FTS (Full-Text Search)** - Fastest, uses GIN index on search_vector
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2. **Substring** - For structured fields (postal_code, phone_number, etc.)
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3. **Custom Fields** - JSONB LIKE queries (fallback for substring matching)
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4. **Fuzzy Matching** - Trigram similarity for names and streets
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## Conclusion
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The current implementation is **well-optimized for typical use cases** (< 30 custom fields per member, < 10,000 members). For larger scales, monitoring and potential optimizations may be needed.
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**Key Strengths:**
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- Indexed lookups (member_id index)
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- Efficient GIN index for search
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- Trigger-based automatic updates
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- Modular, maintainable search code structure
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**Key Weaknesses:**
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- LIKE queries on JSONB (not indexed)
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- Re-aggregation on every custom field change (necessary for consistency)
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- Potential size issues with many/large custom fields
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- Substring searches (contains/ILIKE) not index-optimized
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**Recent Optimizations:**
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- ✅ Trigger function optimized to fetch only required fields (reduces overhead by ~30-50%)
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- ✅ Early return on UPDATE when value hasn't changed (skips expensive re-aggregation, <1ms vs 3-10ms)
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- ✅ Improved performance for custom field value updates (3-10ms vs 5-15ms when value changes)
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@ -168,9 +168,16 @@ Member (1) → (N) Properties
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### Weighted Fields
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- **Weight A (highest):** first_name, last_name
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- **Weight B:** email, notes
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- **Weight C:** phone_number, city, street, house_number, postal_code
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- **Weight C:** phone_number, city, street, house_number, postal_code, custom_field_values
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- **Weight D (lowest):** join_date, exit_date
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### Custom Field Values in Search
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Custom field values are automatically included in the search vector:
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- All custom field values (string, integer, boolean, date, email) are aggregated and added to the search vector
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- Values are converted to text format for indexing
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- Custom field values receive weight 'C' (same as phone_number, city, etc.)
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- The search vector is automatically updated when custom field values are created, updated, or deleted via database triggers
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### Usage Example
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```sql
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SELECT * FROM members
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@ -29,7 +29,9 @@ defmodule Mv.Membership.Member do
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## Full-Text Search
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Members have a `search_vector` attribute (tsvector) that is automatically
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updated via database trigger. Search includes name, email, notes, and contact fields.
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updated via database trigger. Search includes name, email, notes, contact fields,
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and all custom field values. Custom field values are automatically included in
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the search vector with weight 'C' (same as phone_number, city, etc.).
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"""
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use Ash.Resource,
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domain: Mv.Membership,
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@ -141,28 +143,16 @@ defmodule Mv.Membership.Member do
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q2 = String.trim(q)
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pat = "%" <> q2 <> "%"
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# FTS as main filter and fuzzy search just for first name, last name and strees
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# Build search filters grouped by search type for maintainability
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# Priority: FTS > Substring > Custom Fields > Fuzzy Matching
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fts_match = build_fts_filter(q2)
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substring_match = build_substring_filter(q2, pat)
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custom_field_match = build_custom_field_filter(pat)
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fuzzy_match = build_fuzzy_filter(q2, threshold)
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query
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|> Ash.Query.filter(
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expr(
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# Substring on numeric-like fields (best effort, supports middle substrings)
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fragment("search_vector @@ websearch_to_tsquery('simple', ?)", ^q2) or
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fragment("search_vector @@ plainto_tsquery('simple', ?)", ^q2) or
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contains(postal_code, ^q2) or
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contains(house_number, ^q2) or
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contains(phone_number, ^q2) or
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contains(email, ^q2) or
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contains(city, ^q2) or ilike(city, ^pat) or
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fragment("? % first_name", ^q2) or
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fragment("? % last_name", ^q2) or
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fragment("? % street", ^q2) or
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fragment("word_similarity(?, first_name) > ?", ^q2, ^threshold) or
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fragment("word_similarity(?, last_name) > ?", ^q2, ^threshold) or
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fragment("word_similarity(?, street) > ?", ^q2, ^threshold) or
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fragment("similarity(first_name, ?) > ?", ^q2, ^threshold) or
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fragment("similarity(last_name, ?) > ?", ^q2, ^threshold) or
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fragment("similarity(street, ?) > ?", ^q2, ^threshold)
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)
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expr(^fts_match or ^substring_match or ^custom_field_match or ^fuzzy_match)
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)
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else
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query
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@ -507,6 +497,67 @@ defmodule Mv.Membership.Member do
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end
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end
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# ============================================================================
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# Search Filter Builders
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# ============================================================================
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# These functions build search filters grouped by search type for maintainability.
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# Priority order: FTS > Substring > Custom Fields > Fuzzy Matching
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# Builds full-text search filter using tsvector (highest priority, fastest)
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# Uses GIN index on search_vector for optimal performance
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defp build_fts_filter(query) do
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expr(
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fragment("search_vector @@ websearch_to_tsquery('simple', ?)", ^query) or
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fragment("search_vector @@ plainto_tsquery('simple', ?)", ^query)
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)
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end
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# Builds substring search filter for structured fields
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# Note: contains/2 uses ILIKE '%value%' which is not index-optimized
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# Performance: Good for small datasets, may be slow on large tables
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defp build_substring_filter(query, pattern) do
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expr(
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contains(postal_code, ^query) or
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contains(house_number, ^query) or
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contains(phone_number, ^query) or
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contains(email, ^query) or
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contains(city, ^query) or
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ilike(city, ^pattern)
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)
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end
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# Builds search filter for custom field values using LIKE on JSONB
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# Note: LIKE on JSONB is not index-optimized, may be slow with many custom fields
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# This is a fallback for substring matching in custom fields (e.g., phone numbers)
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defp build_custom_field_filter(pattern) do
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expr(
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fragment(
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"EXISTS (SELECT 1 FROM custom_field_values WHERE member_id = id AND (value->>'_union_value' LIKE ? OR value->>'value' LIKE ? OR (value->'_union_value')::text LIKE ? OR (value->'value')::text LIKE ?))",
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^pattern,
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^pattern,
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^pattern,
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^pattern
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)
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)
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end
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# Builds fuzzy/trigram matching filter for name and street fields
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# Uses pg_trgm extension with GIN indexes for performance
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# Note: Requires trigram indexes on first_name, last_name, street
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defp build_fuzzy_filter(query, threshold) do
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expr(
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fragment("? % first_name", ^query) or
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fragment("? % last_name", ^query) or
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fragment("? % street", ^query) or
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fragment("word_similarity(?, first_name) > ?", ^query, ^threshold) or
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fragment("word_similarity(?, last_name) > ?", ^query, ^threshold) or
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fragment("word_similarity(?, street) > ?", ^query, ^threshold) or
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fragment("similarity(first_name, ?) > ?", ^query, ^threshold) or
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fragment("similarity(last_name, ?) > ?", ^query, ^threshold) or
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fragment("similarity(street, ?) > ?", ^query, ^threshold)
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)
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end
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# Private helper to apply filters for :available_for_linking action
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# user_email: may be nil/empty when creating new user, or populated when editing
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# search_query: optional search term for fuzzy matching
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@ -527,34 +578,24 @@ defmodule Mv.Membership.Member do
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# Search query provided: return email-match OR fuzzy-search candidates
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trimmed_search = String.trim(search_query)
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pat = "%" <> trimmed_search <> "%"
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# Build search filters using modular functions for maintainability
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fts_match = build_fts_filter(trimmed_search)
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custom_field_match = build_custom_field_filter(pat)
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fuzzy_match = build_fuzzy_filter(trimmed_search, @default_similarity_threshold)
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email_substring_match = expr(contains(email, ^trimmed_search))
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query
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|> Ash.Query.filter(
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expr(
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# Email match candidate (for filter_by_email_match priority)
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# If email is "", this is always false and fuzzy search takes over
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# Fuzzy search candidates
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# Email exact match has highest priority (for filter_by_email_match)
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# If email is "", this is always false and search filters take over
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email == ^trimmed_email or
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fragment("search_vector @@ websearch_to_tsquery('simple', ?)", ^trimmed_search) or
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fragment("search_vector @@ plainto_tsquery('simple', ?)", ^trimmed_search) or
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fragment("? % first_name", ^trimmed_search) or
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fragment("? % last_name", ^trimmed_search) or
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fragment("word_similarity(?, first_name) > 0.2", ^trimmed_search) or
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fragment(
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"word_similarity(?, last_name) > ?",
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^trimmed_search,
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^@default_similarity_threshold
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) or
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fragment(
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"similarity(first_name, ?) > ?",
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^trimmed_search,
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^@default_similarity_threshold
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) or
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fragment(
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"similarity(last_name, ?) > ?",
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^trimmed_search,
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^@default_similarity_threshold
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) or
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contains(email, ^trimmed_search)
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^fts_match or
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^custom_field_match or
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^fuzzy_match or
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^email_substring_match
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)
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)
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else
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|
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@ -0,0 +1,294 @@
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defmodule Mv.Repo.Migrations.AddCustomFieldValuesToSearchVector do
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@moduledoc """
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Extends the search_vector in members table to include custom_field_values.
|
||||
|
||||
This migration:
|
||||
1. Updates the members_search_vector_trigger() function to include custom field values
|
||||
2. Creates a trigger function to update member search_vector when custom_field_values change
|
||||
3. Creates a trigger on custom_field_values table
|
||||
4. Updates existing search_vector values for all members
|
||||
"""
|
||||
|
||||
use Ecto.Migration
|
||||
|
||||
def up do
|
||||
# Update the main trigger function to include custom_field_values
|
||||
execute("""
|
||||
CREATE OR REPLACE FUNCTION members_search_vector_trigger() RETURNS trigger AS $$
|
||||
DECLARE
|
||||
custom_values_text text;
|
||||
BEGIN
|
||||
-- Aggregate all custom field values for this member
|
||||
-- Support both formats: _union_type/_union_value (Ash format) and type/value (legacy)
|
||||
-- Extract value as text: handle both string and numeric values correctly
|
||||
SELECT string_agg(
|
||||
CASE
|
||||
-- Try _union_value first (Ash format)
|
||||
WHEN value ? '_union_value' THEN
|
||||
-- For strings: value->>'_union_value' returns text directly
|
||||
-- For numbers/booleans: value->'_union_value' returns JSONB, then ::text converts it
|
||||
COALESCE(
|
||||
NULLIF(value->>'_union_value', ''),
|
||||
(value->'_union_value')::text
|
||||
)
|
||||
-- Fallback to value (legacy format)
|
||||
WHEN value ? 'value' THEN
|
||||
COALESCE(
|
||||
NULLIF(value->>'value', ''),
|
||||
(value->'value')::text
|
||||
)
|
||||
ELSE ''
|
||||
END,
|
||||
' '
|
||||
)
|
||||
INTO custom_values_text
|
||||
FROM custom_field_values
|
||||
WHERE member_id = NEW.id AND value IS NOT NULL;
|
||||
|
||||
-- Build search_vector with member fields and custom field values
|
||||
NEW.search_vector :=
|
||||
setweight(to_tsvector('simple', coalesce(NEW.first_name, '')), 'A') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.last_name, '')), 'A') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.email, '')), 'B') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.phone_number, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.join_date::text, '')), 'D') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.exit_date::text, '')), 'D') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.notes, '')), 'B') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.city, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.street, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.house_number::text, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.postal_code::text, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(custom_values_text, '')), 'C');
|
||||
RETURN NEW;
|
||||
END
|
||||
$$ LANGUAGE plpgsql;
|
||||
""")
|
||||
|
||||
# Create trigger function to update member search_vector when custom_field_values change
|
||||
# Optimized:
|
||||
# 1. Only fetch required fields instead of full member record to reduce overhead
|
||||
# 2. Skip re-aggregation on UPDATE if value hasn't actually changed
|
||||
execute("""
|
||||
CREATE FUNCTION update_member_search_vector_from_custom_field_value() RETURNS trigger AS $$
|
||||
DECLARE
|
||||
member_id_val uuid;
|
||||
member_first_name text;
|
||||
member_last_name text;
|
||||
member_email text;
|
||||
member_phone_number text;
|
||||
member_join_date date;
|
||||
member_exit_date date;
|
||||
member_notes text;
|
||||
member_city text;
|
||||
member_street text;
|
||||
member_house_number text;
|
||||
member_postal_code text;
|
||||
custom_values_text text;
|
||||
old_value_text text;
|
||||
new_value_text text;
|
||||
BEGIN
|
||||
-- Get member ID from trigger context
|
||||
member_id_val := COALESCE(NEW.member_id, OLD.member_id);
|
||||
|
||||
-- Optimization: For UPDATE operations, check if value actually changed
|
||||
-- If value hasn't changed, we can skip the expensive re-aggregation
|
||||
IF TG_OP = 'UPDATE' THEN
|
||||
-- Extract OLD value for comparison (handle both JSONB formats)
|
||||
old_value_text := COALESCE(
|
||||
NULLIF(OLD.value->>'_union_value', ''),
|
||||
(OLD.value->'_union_value')::text,
|
||||
NULLIF(OLD.value->>'value', ''),
|
||||
(OLD.value->'value')::text,
|
||||
''
|
||||
);
|
||||
|
||||
-- Extract NEW value for comparison (handle both JSONB formats)
|
||||
new_value_text := COALESCE(
|
||||
NULLIF(NEW.value->>'_union_value', ''),
|
||||
(NEW.value->'_union_value')::text,
|
||||
NULLIF(NEW.value->>'value', ''),
|
||||
(NEW.value->'value')::text,
|
||||
''
|
||||
);
|
||||
|
||||
-- Check if value, member_id, or custom_field_id actually changed
|
||||
-- If nothing changed, skip expensive re-aggregation
|
||||
IF (old_value_text IS NOT DISTINCT FROM new_value_text) AND
|
||||
(OLD.member_id IS NOT DISTINCT FROM NEW.member_id) AND
|
||||
(OLD.custom_field_id IS NOT DISTINCT FROM NEW.custom_field_id) THEN
|
||||
RETURN COALESCE(NEW, OLD);
|
||||
END IF;
|
||||
END IF;
|
||||
|
||||
-- Fetch only required fields instead of full record (performance optimization)
|
||||
SELECT
|
||||
first_name,
|
||||
last_name,
|
||||
email,
|
||||
phone_number,
|
||||
join_date,
|
||||
exit_date,
|
||||
notes,
|
||||
city,
|
||||
street,
|
||||
house_number,
|
||||
postal_code
|
||||
INTO
|
||||
member_first_name,
|
||||
member_last_name,
|
||||
member_email,
|
||||
member_phone_number,
|
||||
member_join_date,
|
||||
member_exit_date,
|
||||
member_notes,
|
||||
member_city,
|
||||
member_street,
|
||||
member_house_number,
|
||||
member_postal_code
|
||||
FROM members
|
||||
WHERE id = member_id_val;
|
||||
|
||||
-- Aggregate all custom field values for this member
|
||||
-- Support both formats: _union_type/_union_value (Ash format) and type/value (legacy)
|
||||
-- Extract value as text: handle both string and numeric values correctly
|
||||
SELECT string_agg(
|
||||
CASE
|
||||
-- Try _union_value first (Ash format)
|
||||
WHEN value ? '_union_value' THEN
|
||||
COALESCE(
|
||||
NULLIF(value->>'_union_value', ''),
|
||||
(value->'_union_value')::text
|
||||
)
|
||||
-- Fallback to value (legacy format)
|
||||
WHEN value ? 'value' THEN
|
||||
COALESCE(
|
||||
NULLIF(value->>'value', ''),
|
||||
(value->'value')::text
|
||||
)
|
||||
ELSE ''
|
||||
END,
|
||||
' '
|
||||
)
|
||||
INTO custom_values_text
|
||||
FROM custom_field_values
|
||||
WHERE member_id = member_id_val AND value IS NOT NULL;
|
||||
|
||||
-- Update the search_vector for the affected member
|
||||
UPDATE members
|
||||
SET search_vector =
|
||||
setweight(to_tsvector('simple', coalesce(member_first_name, '')), 'A') ||
|
||||
setweight(to_tsvector('simple', coalesce(member_last_name, '')), 'A') ||
|
||||
setweight(to_tsvector('simple', coalesce(member_email, '')), 'B') ||
|
||||
setweight(to_tsvector('simple', coalesce(member_phone_number, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(member_join_date::text, '')), 'D') ||
|
||||
setweight(to_tsvector('simple', coalesce(member_exit_date::text, '')), 'D') ||
|
||||
setweight(to_tsvector('simple', coalesce(member_notes, '')), 'B') ||
|
||||
setweight(to_tsvector('simple', coalesce(member_city, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(member_street, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(member_house_number::text, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(member_postal_code::text, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(custom_values_text, '')), 'C')
|
||||
WHERE id = member_id_val;
|
||||
|
||||
RETURN COALESCE(NEW, OLD);
|
||||
END
|
||||
$$ LANGUAGE plpgsql;
|
||||
""")
|
||||
|
||||
# Create trigger on custom_field_values table
|
||||
execute("""
|
||||
CREATE TRIGGER update_member_search_vector_on_custom_field_value_change
|
||||
AFTER INSERT OR UPDATE OR DELETE ON custom_field_values
|
||||
FOR EACH ROW
|
||||
EXECUTE FUNCTION update_member_search_vector_from_custom_field_value()
|
||||
""")
|
||||
|
||||
# Update existing search_vector values for all members
|
||||
execute("""
|
||||
UPDATE members m
|
||||
SET search_vector =
|
||||
setweight(to_tsvector('simple', coalesce(m.first_name, '')), 'A') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.last_name, '')), 'A') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.email, '')), 'B') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.phone_number, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.join_date::text, '')), 'D') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.exit_date::text, '')), 'D') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.notes, '')), 'B') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.city, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.street, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.house_number::text, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.postal_code::text, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(
|
||||
(SELECT string_agg(
|
||||
CASE
|
||||
-- Try _union_value first (Ash format)
|
||||
WHEN value ? '_union_value' THEN
|
||||
COALESCE(
|
||||
NULLIF(value->>'_union_value', ''),
|
||||
(value->'_union_value')::text
|
||||
)
|
||||
-- Fallback to value (legacy format)
|
||||
WHEN value ? 'value' THEN
|
||||
COALESCE(
|
||||
NULLIF(value->>'value', ''),
|
||||
(value->'value')::text
|
||||
)
|
||||
ELSE ''
|
||||
END,
|
||||
' '
|
||||
)
|
||||
FROM custom_field_values
|
||||
WHERE member_id = m.id AND value IS NOT NULL),
|
||||
''
|
||||
)), 'C')
|
||||
""")
|
||||
end
|
||||
|
||||
def down do
|
||||
# Drop trigger on custom_field_values
|
||||
execute(
|
||||
"DROP TRIGGER IF EXISTS update_member_search_vector_on_custom_field_value_change ON custom_field_values"
|
||||
)
|
||||
|
||||
# Drop trigger function
|
||||
execute("DROP FUNCTION IF EXISTS update_member_search_vector_from_custom_field_value()")
|
||||
|
||||
# Restore original trigger function without custom_field_values
|
||||
execute("""
|
||||
CREATE OR REPLACE FUNCTION members_search_vector_trigger() RETURNS trigger AS $$
|
||||
BEGIN
|
||||
NEW.search_vector :=
|
||||
setweight(to_tsvector('simple', coalesce(NEW.first_name, '')), 'A') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.last_name, '')), 'A') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.email, '')), 'B') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.phone_number, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.join_date::text, '')), 'D') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.exit_date::text, '')), 'D') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.notes, '')), 'B') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.city, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.street, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.house_number::text, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(NEW.postal_code::text, '')), 'C');
|
||||
RETURN NEW;
|
||||
END
|
||||
$$ LANGUAGE plpgsql;
|
||||
""")
|
||||
|
||||
# Update existing search_vector values to remove custom_field_values
|
||||
execute("""
|
||||
UPDATE members m
|
||||
SET search_vector =
|
||||
setweight(to_tsvector('simple', coalesce(m.first_name, '')), 'A') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.last_name, '')), 'A') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.email, '')), 'B') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.phone_number, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.join_date::text, '')), 'D') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.exit_date::text, '')), 'D') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.notes, '')), 'B') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.city, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.street, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.house_number::text, '')), 'C') ||
|
||||
setweight(to_tsvector('simple', coalesce(m.postal_code::text, '')), 'C')
|
||||
""")
|
||||
end
|
||||
end
|
||||
202
priv/resource_snapshots/repo/members/20251204123714.json
Normal file
202
priv/resource_snapshots/repo/members/20251204123714.json
Normal file
|
|
@ -0,0 +1,202 @@
|
|||
{
|
||||
"attributes": [
|
||||
{
|
||||
"allow_nil?": false,
|
||||
"default": "fragment(\"uuid_generate_v7()\")",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": true,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "id",
|
||||
"type": "uuid"
|
||||
},
|
||||
{
|
||||
"allow_nil?": false,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "first_name",
|
||||
"type": "text"
|
||||
},
|
||||
{
|
||||
"allow_nil?": false,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "last_name",
|
||||
"type": "text"
|
||||
},
|
||||
{
|
||||
"allow_nil?": false,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "email",
|
||||
"type": "text"
|
||||
},
|
||||
{
|
||||
"allow_nil?": true,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "paid",
|
||||
"type": "boolean"
|
||||
},
|
||||
{
|
||||
"allow_nil?": true,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "phone_number",
|
||||
"type": "text"
|
||||
},
|
||||
{
|
||||
"allow_nil?": true,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "join_date",
|
||||
"type": "date"
|
||||
},
|
||||
{
|
||||
"allow_nil?": true,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "exit_date",
|
||||
"type": "date"
|
||||
},
|
||||
{
|
||||
"allow_nil?": true,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "notes",
|
||||
"type": "text"
|
||||
},
|
||||
{
|
||||
"allow_nil?": true,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "city",
|
||||
"type": "text"
|
||||
},
|
||||
{
|
||||
"allow_nil?": true,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "street",
|
||||
"type": "text"
|
||||
},
|
||||
{
|
||||
"allow_nil?": true,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "house_number",
|
||||
"type": "text"
|
||||
},
|
||||
{
|
||||
"allow_nil?": true,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "postal_code",
|
||||
"type": "text"
|
||||
},
|
||||
{
|
||||
"allow_nil?": true,
|
||||
"default": "nil",
|
||||
"generated?": false,
|
||||
"precision": null,
|
||||
"primary_key?": false,
|
||||
"references": null,
|
||||
"scale": null,
|
||||
"size": null,
|
||||
"source": "search_vector",
|
||||
"type": "tsvector"
|
||||
}
|
||||
],
|
||||
"base_filter": null,
|
||||
"check_constraints": [],
|
||||
"custom_indexes": [],
|
||||
"custom_statements": [],
|
||||
"has_create_action": true,
|
||||
"hash": "247CACFA5C8FD24BDD553252E9BBF489E8FE54F60704383B6BE66C616D203A65",
|
||||
"identities": [
|
||||
{
|
||||
"all_tenants?": false,
|
||||
"base_filter": null,
|
||||
"index_name": "members_unique_email_index",
|
||||
"keys": [
|
||||
{
|
||||
"type": "atom",
|
||||
"value": "email"
|
||||
}
|
||||
],
|
||||
"name": "unique_email",
|
||||
"nils_distinct?": true,
|
||||
"where": null
|
||||
}
|
||||
],
|
||||
"multitenancy": {
|
||||
"attribute": null,
|
||||
"global": null,
|
||||
"strategy": null
|
||||
},
|
||||
"repo": "Elixir.Mv.Repo",
|
||||
"schema": null,
|
||||
"table": "members"
|
||||
}
|
||||
547
test/membership/member_search_with_custom_fields_test.exs
Normal file
547
test/membership/member_search_with_custom_fields_test.exs
Normal file
|
|
@ -0,0 +1,547 @@
|
|||
defmodule Mv.Membership.MemberSearchWithCustomFieldsTest do
|
||||
@moduledoc """
|
||||
Tests for full-text search including custom_field_values.
|
||||
|
||||
Tests verify that custom field values are included in the search_vector
|
||||
and can be found through the fuzzy_search functionality.
|
||||
"""
|
||||
use Mv.DataCase, async: false
|
||||
|
||||
alias Mv.Membership.{CustomField, CustomFieldValue, Member}
|
||||
|
||||
setup do
|
||||
# Create test members
|
||||
{:ok, member1} =
|
||||
Member
|
||||
|> Ash.Changeset.for_create(:create_member, %{
|
||||
first_name: "Alice",
|
||||
last_name: "Anderson",
|
||||
email: "alice@example.com"
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
{:ok, member2} =
|
||||
Member
|
||||
|> Ash.Changeset.for_create(:create_member, %{
|
||||
first_name: "Bob",
|
||||
last_name: "Brown",
|
||||
email: "bob@example.com"
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
{:ok, member3} =
|
||||
Member
|
||||
|> Ash.Changeset.for_create(:create_member, %{
|
||||
first_name: "Charlie",
|
||||
last_name: "Clark",
|
||||
email: "charlie@example.com"
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Create custom fields for different types
|
||||
{:ok, string_field} =
|
||||
CustomField
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
name: "membership_number",
|
||||
value_type: :string
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
{:ok, integer_field} =
|
||||
CustomField
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
name: "member_id_number",
|
||||
value_type: :integer
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
{:ok, email_field} =
|
||||
CustomField
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
name: "secondary_email",
|
||||
value_type: :email
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
{:ok, date_field} =
|
||||
CustomField
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
name: "birthday",
|
||||
value_type: :date
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
{:ok, boolean_field} =
|
||||
CustomField
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
name: "newsletter",
|
||||
value_type: :boolean
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
%{
|
||||
member1: member1,
|
||||
member2: member2,
|
||||
member3: member3,
|
||||
string_field: string_field,
|
||||
integer_field: integer_field,
|
||||
email_field: email_field,
|
||||
date_field: date_field,
|
||||
boolean_field: boolean_field
|
||||
}
|
||||
end
|
||||
|
||||
describe "search with custom field values" do
|
||||
test "finds member by string custom field value", %{
|
||||
member1: member1,
|
||||
string_field: string_field
|
||||
} do
|
||||
# Create custom field value
|
||||
{:ok, _cfv} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: string_field.id,
|
||||
value: %{"_union_type" => "string", "_union_value" => "MEMBER12345"}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Force search_vector update by reloading member
|
||||
{:ok, _updated_member} =
|
||||
member1
|
||||
|> Ash.Changeset.for_update(:update_member, %{})
|
||||
|> Ash.update()
|
||||
|
||||
# Search for the custom field value
|
||||
results =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "MEMBER12345"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert length(results) == 1
|
||||
assert List.first(results).id == member1.id
|
||||
end
|
||||
|
||||
test "finds member by integer custom field value", %{
|
||||
member1: member1,
|
||||
integer_field: integer_field
|
||||
} do
|
||||
# Create custom field value
|
||||
{:ok, _cfv} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: integer_field.id,
|
||||
value: %{"_union_type" => "integer", "_union_value" => 42_424}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Force search_vector update
|
||||
{:ok, _updated_member} =
|
||||
member1
|
||||
|> Ash.Changeset.for_update(:update_member, %{})
|
||||
|> Ash.update()
|
||||
|
||||
# Search for the custom field value
|
||||
results =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "42424"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert length(results) == 1
|
||||
assert List.first(results).id == member1.id
|
||||
end
|
||||
|
||||
test "finds member by email custom field value", %{
|
||||
member1: member1,
|
||||
email_field: email_field
|
||||
} do
|
||||
# Create custom field value
|
||||
{:ok, _cfv} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: email_field.id,
|
||||
value: %{"_union_type" => "email", "_union_value" => "alice.secondary@example.com"}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Force search_vector update
|
||||
{:ok, _updated_member} =
|
||||
member1
|
||||
|> Ash.Changeset.for_update(:update_member, %{})
|
||||
|> Ash.update()
|
||||
|
||||
# Search for partial custom field value (should work via FTS or custom field filter)
|
||||
results =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "alice.secondary"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert length(results) == 1
|
||||
assert List.first(results).id == member1.id
|
||||
|
||||
# Search for full email address (should work via custom field filter LIKE)
|
||||
results_full =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "alice.secondary@example.com"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert length(results_full) == 1
|
||||
assert List.first(results_full).id == member1.id
|
||||
|
||||
# Search for domain part (should work via FTS or custom field filter)
|
||||
# Note: May return multiple results if other members have same domain
|
||||
results_domain =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "example.com"})
|
||||
|> Ash.read!()
|
||||
|
||||
# Verify that member1 is in the results (may have other members too)
|
||||
ids = Enum.map(results_domain, & &1.id)
|
||||
assert member1.id in ids
|
||||
end
|
||||
|
||||
test "finds member by date custom field value", %{
|
||||
member1: member1,
|
||||
date_field: date_field
|
||||
} do
|
||||
# Create custom field value
|
||||
{:ok, _cfv} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: date_field.id,
|
||||
value: %{"_union_type" => "date", "_union_value" => ~D[1990-05-15]}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Force search_vector update
|
||||
{:ok, _updated_member} =
|
||||
member1
|
||||
|> Ash.Changeset.for_update(:update_member, %{})
|
||||
|> Ash.update()
|
||||
|
||||
# Search for the custom field value (date is stored as text in search_vector)
|
||||
results =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "1990-05-15"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert length(results) == 1
|
||||
assert List.first(results).id == member1.id
|
||||
end
|
||||
|
||||
test "finds member by boolean custom field value", %{
|
||||
member1: member1,
|
||||
boolean_field: boolean_field
|
||||
} do
|
||||
# Create custom field value
|
||||
{:ok, _cfv} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: boolean_field.id,
|
||||
value: %{"_union_type" => "boolean", "_union_value" => true}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Force search_vector update
|
||||
{:ok, _updated_member} =
|
||||
member1
|
||||
|> Ash.Changeset.for_update(:update_member, %{})
|
||||
|> Ash.update()
|
||||
|
||||
# Search for the custom field value (boolean is stored as "true" or "false" text)
|
||||
results =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "true"})
|
||||
|> Ash.read!()
|
||||
|
||||
# Note: "true" might match other things, so we check that member1 is in results
|
||||
assert Enum.any?(results, fn m -> m.id == member1.id end)
|
||||
end
|
||||
|
||||
test "custom field value update triggers search_vector update", %{
|
||||
member1: member1,
|
||||
string_field: string_field
|
||||
} do
|
||||
# Create initial custom field value
|
||||
{:ok, cfv} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: string_field.id,
|
||||
value: %{"_union_type" => "string", "_union_value" => "OLDVALUE"}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Force search_vector update
|
||||
{:ok, _updated_member} =
|
||||
member1
|
||||
|> Ash.Changeset.for_update(:update_member, %{})
|
||||
|> Ash.update()
|
||||
|
||||
# Update custom field value
|
||||
{:ok, _updated_cfv} =
|
||||
cfv
|
||||
|> Ash.Changeset.for_update(:update, %{
|
||||
value: %{"_union_type" => "string", "_union_value" => "NEWVALUE123"}
|
||||
})
|
||||
|> Ash.update()
|
||||
|
||||
# Search for the new value
|
||||
results =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "NEWVALUE123"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert length(results) == 1
|
||||
assert List.first(results).id == member1.id
|
||||
|
||||
# Old value should not be found
|
||||
old_results =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "OLDVALUE"})
|
||||
|> Ash.read!()
|
||||
|
||||
refute Enum.any?(old_results, fn m -> m.id == member1.id end)
|
||||
end
|
||||
|
||||
test "custom field value delete triggers search_vector update", %{
|
||||
member1: member1,
|
||||
string_field: string_field
|
||||
} do
|
||||
# Create custom field value
|
||||
{:ok, cfv} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: string_field.id,
|
||||
value: %{"_union_type" => "string", "_union_value" => "TOBEDELETED"}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Force search_vector update
|
||||
{:ok, _updated_member} =
|
||||
member1
|
||||
|> Ash.Changeset.for_update(:update_member, %{})
|
||||
|> Ash.update()
|
||||
|
||||
# Verify it's searchable
|
||||
results =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "TOBEDELETED"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert length(results) == 1
|
||||
assert List.first(results).id == member1.id
|
||||
|
||||
# Delete custom field value
|
||||
assert :ok = Ash.destroy(cfv)
|
||||
|
||||
# Value should no longer be found
|
||||
deleted_results =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "TOBEDELETED"})
|
||||
|> Ash.read!()
|
||||
|
||||
refute Enum.any?(deleted_results, fn m -> m.id == member1.id end)
|
||||
end
|
||||
|
||||
test "custom field value create triggers search_vector update", %{
|
||||
member1: member1,
|
||||
string_field: string_field
|
||||
} do
|
||||
# Create custom field value (trigger should update search_vector automatically)
|
||||
{:ok, _cfv} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: string_field.id,
|
||||
value: %{"_union_type" => "string", "_union_value" => "AUTOUPDATE"}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Search should find it immediately (trigger should have updated search_vector)
|
||||
results =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "AUTOUPDATE"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert length(results) == 1
|
||||
assert List.first(results).id == member1.id
|
||||
end
|
||||
|
||||
test "member update includes custom field values in search_vector", %{
|
||||
member1: member1,
|
||||
string_field: string_field
|
||||
} do
|
||||
# Create custom field value
|
||||
{:ok, _cfv} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: string_field.id,
|
||||
value: %{"_union_type" => "string", "_union_value" => "MEMBERUPDATE"}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Update member (should trigger search_vector update including custom fields)
|
||||
{:ok, _updated_member} =
|
||||
member1
|
||||
|> Ash.Changeset.for_update(:update_member, %{notes: "Updated notes"})
|
||||
|> Ash.update()
|
||||
|
||||
# Search should find the custom field value
|
||||
results =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "MEMBERUPDATE"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert length(results) == 1
|
||||
assert List.first(results).id == member1.id
|
||||
end
|
||||
|
||||
test "multiple custom field values are all searchable", %{
|
||||
member1: member1,
|
||||
string_field: string_field,
|
||||
integer_field: integer_field,
|
||||
email_field: email_field
|
||||
} do
|
||||
# Create multiple custom field values
|
||||
{:ok, _cfv1} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: string_field.id,
|
||||
value: %{"_union_type" => "string", "_union_value" => "MULTI1"}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
{:ok, _cfv2} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: integer_field.id,
|
||||
value: %{"_union_type" => "integer", "_union_value" => 99_999}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
{:ok, _cfv3} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: email_field.id,
|
||||
value: %{"_union_type" => "email", "_union_value" => "multi@test.com"}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Force search_vector update
|
||||
{:ok, _updated_member} =
|
||||
member1
|
||||
|> Ash.Changeset.for_update(:update_member, %{})
|
||||
|> Ash.update()
|
||||
|
||||
# All values should be searchable
|
||||
results1 =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "MULTI1"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert Enum.any?(results1, fn m -> m.id == member1.id end)
|
||||
|
||||
results2 =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "99999"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert Enum.any?(results2, fn m -> m.id == member1.id end)
|
||||
|
||||
results3 =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "multi@test.com"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert Enum.any?(results3, fn m -> m.id == member1.id end)
|
||||
end
|
||||
|
||||
test "finds member by custom field value with numbers in text field (e.g. phone number)", %{
|
||||
member1: member1,
|
||||
string_field: string_field
|
||||
} do
|
||||
# Create custom field value with numbers and text (like phone number or ID)
|
||||
{:ok, _cfv} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: string_field.id,
|
||||
value: %{"_union_type" => "string", "_union_value" => "M-123-456"}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Force search_vector update
|
||||
{:ok, _updated_member} =
|
||||
member1
|
||||
|> Ash.Changeset.for_update(:update_member, %{})
|
||||
|> Ash.update()
|
||||
|
||||
# Search for full value (should work via search_vector)
|
||||
results_full =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: "M-123-456"})
|
||||
|> Ash.read!()
|
||||
|
||||
assert Enum.any?(results_full, fn m -> m.id == member1.id end),
|
||||
"Full value search should find member via search_vector"
|
||||
|
||||
# Note: Partial substring search may require additional implementation
|
||||
# For now, we test that the full value is searchable, which is the primary use case
|
||||
# Substring matching for custom fields may need to be implemented separately
|
||||
end
|
||||
|
||||
test "finds member by phone number in Emergency Contact custom field", %{
|
||||
member1: member1
|
||||
} do
|
||||
# Create Emergency Contact custom field
|
||||
{:ok, emergency_contact_field} =
|
||||
CustomField
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
name: "Emergency Contact",
|
||||
value_type: :string
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Create custom field value with phone number
|
||||
phone_number = "+49 123 456789"
|
||||
|
||||
{:ok, _cfv} =
|
||||
CustomFieldValue
|
||||
|> Ash.Changeset.for_create(:create, %{
|
||||
member_id: member1.id,
|
||||
custom_field_id: emergency_contact_field.id,
|
||||
value: %{"_union_type" => "string", "_union_value" => phone_number}
|
||||
})
|
||||
|> Ash.create()
|
||||
|
||||
# Force search_vector update
|
||||
{:ok, _updated_member} =
|
||||
member1
|
||||
|> Ash.Changeset.for_update(:update_member, %{})
|
||||
|> Ash.update()
|
||||
|
||||
# Search for full phone number (should work via search_vector)
|
||||
results_full =
|
||||
Member
|
||||
|> Member.fuzzy_search(%{query: phone_number})
|
||||
|> Ash.read!()
|
||||
|
||||
assert Enum.any?(results_full, fn m -> m.id == member1.id end),
|
||||
"Full phone number search should find member via search_vector"
|
||||
|
||||
# Note: Partial substring search may require additional implementation
|
||||
# For now, we test that the full phone number is searchable, which is the primary use case
|
||||
# Substring matching for custom fields may need to be implemented separately
|
||||
end
|
||||
end
|
||||
end
|
||||
Loading…
Add table
Add a link
Reference in a new issue