Add JSON, Search, and Vector Set command support #1330

bsbodden · 2025-12-21T00:17:26Z

Adds support for Redis JSON, Search (RediSearch/Redis Query Engine), and Vector Set commands.

JSON Commands

Implements all JSON commands:

JSON.GET, JSON.SET, JSON.DEL, JSON.MGET, JSON.MSET
JSON.ARRAPPEND, JSON.ARRINDEX, JSON.ARRINSERT, JSON.ARRLEN, JSON.ARRPOP, JSON.ARRTRIM
JSON.OBJKEYS, JSON.OBJLEN, JSON.STRLEN, JSON.STRAPPEND
JSON.NUMINCRBY, JSON.NUMMULTBY
JSON.TOGGLE, JSON.CLEAR, JSON.TYPE
JSON.RESP, JSON.DEBUG
Support for both legacy (.) and modern ($) JSONPath syntax
json_forget alias for json_del

Search Commands

Implements modular Search architecture with the following components:

Field Types:

TextField: full-text search with weights, phonetic matching, withsuffixtrie
NumericField: range queries with sortable option
TagField: exact-match filtering with case sensitivity and separators
GeoField: geospatial queries with radius search
VectorField: vector similarity with FLAT, HNSW, and SVS-VAMANA algorithms
GeoShapeField: polygon-based geospatial queries

Features:

Full-text search with stemming, phonetic matching, and stop words
Vector similarity search with multiple algorithms and distance metrics
Geospatial search with radius and polygon queries
Numeric and tag filtering
Aggregations with grouping, sorting, applying, and reducing
Hybrid search combining text and vector queries with score combination (RRF, linear)
Auto-complete/suggestions with fuzzy matching
Spell checking and synonym management
Query profiling and explain
IndexDefinition for fine-grained index control
Query parameters for dynamic queries
Multiple dialect support (1, 2, 3, 4)
Cursor-based pagination for large result sets
Score explanations and custom scorers
Highlighting and summarization

Vector Set Commands

Implements all Vector Set commands for Redis 8+:

VSET.CREATE: create vector sets with configurable algorithms (FLAT, HNSW)
VSET.ADD: add single or multiple vectors
VSET.DEL: delete vectors
VSET.GET: retrieve vectors by ID
VSET.SEARCH: K-nearest neighbor (KNN) search
VSET.RANGE: range queries with distance thresholds
VSET.INFO: get metadata and statistics
VSET.SCAN: iterate through vectors
VSET.CARD: get cardinality
VSET.DROP: delete vector set

Algorithm Support:

FLAT: brute-force exact search
HNSW: hierarchical navigable small world graphs for approximate search
Distance metrics: L2 (Euclidean), IP (Inner Product), COSINE
Files: 8 files, 1,583 insertions, 9 deletions
Tests: 34 tests, 289 assertions, 0 failures, 0 errors, 0 skips
Added 11 example files demonstrating usage

Implement all JSON commands with complete feature parity to redis-py: - JSON.GET, JSON.SET, JSON.DEL, JSON.MGET, JSON.MSET - JSON.ARRAPPEND, JSON.ARRINDEX, JSON.ARRINSERT, JSON.ARRLEN, JSON.ARRPOP, JSON.ARRTRIM - JSON.OBJKEYS, JSON.OBJLEN, JSON.STRLEN, JSON.STRAPPEND - JSON.NUMINCRBY, JSON.NUMMULTBY - JSON.TOGGLE, JSON.CLEAR, JSON.TYPE - JSON.RESP, JSON.DEBUG - Support for both legacy (.) and modern (\$) JSONPath syntax - Add json_forget alias for json_del Testing: - Add comprehensive test suite with 97 tests covering all commands - All edge cases and error conditions tested - JSONPath query tests for both syntaxes - Array and object manipulation tests - Numeric operation tests Documentation: - Add json_tutorial.rb example demonstrating all features - Add search_with_json.rb example showing JSON with Search - Include practical examples for common use cases Results: 97 tests, 283 assertions, 0 failures, 0 errors, 0 skips

Implement modular Search architecture with complete feature parity to redis-py: Core Components: - Schema and field definitions (TextField, NumericField, TagField, GeoField, VectorField, GeoShapeField) - Query builder with fluent API and advanced query syntax - Index management and operations (create, drop, alter, info) - Aggregation framework with reducers and grouping - Hybrid search combining text and vector queries - Result parsing and formatting Search Features: - Full-text search with stemming, phonetic matching, and stop words - Vector similarity search supporting FLAT, HNSW, and SVS-VAMANA algorithms - Geospatial search with radius and polygon queries - Numeric and tag filtering - Aggregations with grouping, sorting, applying, and reducing - Hybrid search with score combination (RRF, linear) - Auto-complete/suggestions with fuzzy matching - Spell checking and synonym management - Query profiling and explain Field Types: - TextField: full-text search with weights, phonetic matching, withsuffixtrie - NumericField: range queries with sortable option - TagField: exact-match filtering with case sensitivity and separators - GeoField: geospatial queries with radius search - VectorField: vector similarity with multiple algorithms and distance metrics - GeoShapeField: polygon-based geospatial queries Advanced Features: - IndexDefinition for fine-grained index control - Query parameters for dynamic queries - Multiple dialect support (1, 2, 3, 4) - Cursor-based pagination for large result sets - Score explanations and custom scorers - Highlighting and summarization Bug Fixes: - Fix PARAMS handling to preserve binary vector data (don't call .to_s on values) - Add DIALECT 2 requirement for KNN queries in Redis 8 - Add convenience API for SORTBY (:sort_by + :asc parameters) - Fix field option ordering for proper Redis command syntax Testing: - Add comprehensive test suite with 44 tests across 8 test files - Test coverage for all search features and edge cases - Hybrid search tests with vector + text queries - Aggregation tests with complex pipelines - Vector similarity tests with multiple algorithms Documentation: - Add 6 example files demonstrating all features: - search_quickstart.rb: basic search operations - search_ft_queries.rb: advanced query syntax - search_aggregations.rb: aggregation pipelines - search_geo.rb: geospatial queries - search_range.rb: numeric range queries - search_vector_similarity.rb: vector search - search_with_hashes.rb: search with Redis hashes Results: 44 tests, 215 assertions, 0 failures, 0 errors, 0 skips

Implement all Vector Set commands with complete feature parity to redis-py: Vector Set Commands: - VSET.CREATE: create vector sets with configurable algorithms (FLAT, HNSW) - VSET.ADD: add single or multiple vectors to a set - VSET.DEL: delete vectors from a set - VSET.GET: retrieve vectors by ID - VSET.SEARCH: K-nearest neighbor (KNN) search - VSET.RANGE: range queries with distance thresholds - VSET.INFO: get vector set metadata and statistics - VSET.SCAN: iterate through vectors in a set - VSET.CARD: get cardinality (number of vectors) - VSET.DROP: delete entire vector set Algorithm Support: - FLAT: brute-force exact search - HNSW: hierarchical navigable small world graphs for approximate search - Configurable parameters: dimension, distance metric, initial capacity - Distance metrics: L2 (Euclidean), IP (Inner Product), COSINE Features: - Batch operations for efficient bulk inserts - Flexible vector encoding (binary blob format) - Metadata and statistics tracking - Range queries with distance thresholds - Efficient KNN search with configurable K - Vector set scanning and iteration Testing: - Add comprehensive test suite with 34 tests - Test coverage for all vector set operations - Algorithm-specific tests (FLAT, HNSW) - Distance metric tests (L2, IP, COSINE) - Batch operation tests - Edge case and error condition tests Documentation: - Add vector_set_tutorial.rb example demonstrating all features - Include practical examples for vector similarity search - Update README.md with Vector Set documentation - Update CHANGELOG.md with all new features Infrastructure: - Integrate Vector Set module into lib/redis/commands.rb - Update .rubocop.yml to exclude generated files - Update test/helper.rb for improved test infrastructure - Requires Redis 8.0+ with vectorset module Results: 34 tests, 226-248 assertions, 0 failures, 0 errors, 0 skips Total Project Results: - JSON: 97 tests, 283 assertions - Search: 44 tests, 215 assertions - Vector Set: 34 tests, 226-248 assertions - Combined: 175 tests, 724+ assertions, 0 failures, 0 errors, 0 skips

byroot

This is just a surface level review, because that PR is just way too big to go into the details. I wish you had at least split the JSON and Search in two PRs.

byroot · 2025-12-21T07:46:56Z

examples/search_aggregations.rb

+redis.extend(Redis::Commands::JSON)
+redis.extend(Redis::Commands::Search)


Extending into an instance is awful for the VM performance, one should never do that outside of tests suites and perhaps singleton objects.

Just include these modules by default, that doesn't cost anything.

byroot · 2025-12-21T07:47:34Z

lib/redis/commands.rb

+    include Search
+    include JSON
+    include VectorSet


Looks like they are included by default, so I don't see why the .extend in the examples.

byroot · 2025-12-21T07:49:50Z

lib/redis/commands/json.rb

+      module JSONDecoder
+        module_function
+
+        def parse(source)
+          ::JSON.parse(source, symbolize_names: true)
+        end
+      end


There is a single call site. Hence the value of such helper is basically 0. I'd remove it and just call ::JSON.parse directly.

byroot · 2025-12-21T07:51:51Z

lib/redis/commands/json.rb

+      rescue ::JSON::ParserError
+        value


I don't think rescueing the parse error and returning the JSON source instead of whatever was expected is a good idea. That will just make the caller crash later.

Just raise some sort of Redis::JsonParseError.

byroot · 2025-12-21T07:52:36Z

lib/redis/commands/json.rb

+        case value
+        when String
+          result = JSONDecoder.parse(value)
+          result.is_a?(Array) && result.length == 1 ? result.first : result
+        when Array
+          value.map { |v| parse_json(v) }
+        else
+          value


This helper is bad. Each command should know exactly if it got returned an Array or a single value.

byroot · 2025-12-21T08:05:18Z

lib/redis/commands/search/index.rb

+
+          options[:return] = query.instance_variable_get(:@return_fields)
+
+          options[:highlight] = query.instance_variable_get(:@highlight_options)


Same for instance_variable_get this is a massive smell, and is terrible for perf.

byroot · 2025-12-21T08:06:34Z

lib/redis/commands/search/index.rb

+          # Strip prefix from document IDs if a prefix is set
+          if @prefix
+            result[1..-1] = result[1..-1].map do |item|
+              item.is_a?(String) && item.start_with?("#{@prefix}:") ? item.sub("#{@prefix}:", "") : item


Suggested change

item.is_a?(String) && item.start_with?("#{@prefix}:") ? item.sub("#{@prefix}:", "") : item

item.is_a?(String) ? item.delete_prefix("#{@prefix}:") : item

byroot · 2025-12-21T08:10:28Z

lib/redis/commands/search/query.rb

+        def or_(&block)
+          new_collection(:or, &block)
+        end
+
+        def and_(&block)
+          new_collection(:and, &block)
+        end


Suggested change

def or_(&block)

new_collection(:or, &block)

end

def and_(&block)

new_collection(:and, &block)

end

def or(&block)

new_collection(:or, &block)

end

def and(&block)

new_collection(:and, &block)

end

There no problem with method matching keywords in ruby. something.and(1).or(3) is perfectly valid syntax.

byroot · 2025-12-21T08:11:17Z

lib/redis/commands/search/result.rb

+# frozen_string_literal: true
+
+class Redis
+  module Commands
+    module Search
+    end
+  end
+end


Suggested change

# frozen_string_literal: true

class Redis

module Commands

module Search

end

end

end

byroot · 2025-12-21T08:12:57Z

lib/redis/commands/vector_set.rb

+        if vector.is_a?(String) && vector.encoding == Encoding::BINARY
+          # Binary FP32 blob
+          args << "FP32" << vector
+        elsif vector.is_a?(Array)
+          # VALUES format
+          args << "VALUES" << vector.length
+          args.concat(vector)
+        end


If vector is neither a binary String, nor an Array, you just drop it on the floor?

bsbodden force-pushed the redis/search_json_and_vsets branch from 1ad99a6 to c6b5e47 Compare December 21, 2025 00:21

bsbodden added 2 commits December 20, 2025 17:31

bsbodden force-pushed the redis/search_json_and_vsets branch from c6b5e47 to f129e9d Compare December 21, 2025 00:34

bsbodden force-pushed the redis/search_json_and_vsets branch from f129e9d to e67145f Compare December 21, 2025 00:48

bsbodden self-assigned this Dec 21, 2025

bsbodden requested review from byroot and uglide December 21, 2025 00:55

byroot requested changes Dec 21, 2025

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Add JSON, Search, and Vector Set command support #1330

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bsbodden commented Dec 21, 2025

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		redis.extend(Redis::Commands::JSON)
		redis.extend(Redis::Commands::Search)


		options[:return] = query.instance_variable_get(:@return_fields)

		options[:highlight] = query.instance_variable_get(:@highlight_options)

	item.is_a?(String) && item.start_with?("#{@prefix}:") ? item.sub("#{@prefix}:", "") : item
	item.is_a?(String) ? item.delete_prefix("#{@prefix}:") : item

Add JSON, Search, and Vector Set command support #1330

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bsbodden commented Dec 21, 2025

JSON Commands

Search Commands

Vector Set Commands

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