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[workspace] [package]
members = ["herodb"] name = "herodb"
resolver = "2" version = "0.0.1"
authors = ["Pin Fang <fpfangpin@hotmail.com>"]
edition = "2021"
# You can define shared profiles for all workspace members here [dependencies]
[profile.release] anyhow = "1.0.59"
lto = true bytes = "1.3.0"
codegen-units = 1 thiserror = "1.0.32"
strip = true tokio = { version = "1.23.0", features = ["full"] }
clap = { version = "4.5.20", features = ["derive"] }
byteorder = "1.4.3"
futures = "0.3"
sled = "0.34"
redb = "2.1.3"
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
bincode = "1.3"
chacha20poly1305 = "0.10.1"
rand = "0.8"
sha2 = "0.10"
age = "0.10"
secrecy = "0.8"
ed25519-dalek = "2"
base64 = "0.22"
tantivy = "0.25.0"
[dev-dependencies]
redis = { version = "0.24", features = ["aio", "tokio-comp"] }

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# HeroDB
HeroDB is a Redis-compatible database built with Rust, offering a flexible and secure storage solution. It supports two primary storage backends: `redb` (default) and `sled`, both with full encryption capabilities. HeroDB aims to provide a robust and performant key-value store with advanced features like data-at-rest encryption, hash operations, list operations, and cursor-based scanning.
## Purpose
The main purpose of HeroDB is to offer a lightweight, embeddable, and Redis-compatible database that prioritizes data security through transparent encryption. It's designed for applications that require fast, reliable data storage with the option for strong cryptographic protection, without the overhead of a full-fledged Redis server.
## Features
- **Redis Compatibility**: Supports a subset of Redis commands over RESP (Redis Serialization Protocol) via TCP.
- **Dual Backend Support**:
- `redb` (default): Optimized for concurrent access and high-throughput scenarios.
- `sled`: A lock-free, log-structured database, excellent for specific workloads.
- **Data-at-Rest Encryption**: Transparent encryption for both backends using the `age` encryption library.
- **Key-Value Operations**: Full support for basic string, hash, and list operations.
- **Expiration**: Time-to-live (TTL) functionality for keys.
- **Scanning**: Cursor-based iteration for keys and hash fields (`SCAN`, `HSCAN`).
- **AGE Cryptography Commands**: HeroDB-specific extensions for cryptographic operations.
## Quick Start
### Building HeroDB
To build HeroDB, navigate to the project root and run:
```bash
cargo build --release
```
### Running HeroDB
You can start HeroDB with different backends and encryption options:
#### Default `redb` Backend
```bash
./target/release/herodb --dir /tmp/herodb_redb --port 6379
```
#### `sled` Backend
```bash
./target/release/herodb --dir /tmp/herodb_sled --port 6379 --sled
```
#### `redb` with Encryption
```bash
./target/release/herodb --dir /tmp/herodb_encrypted --port 6379 --encrypt --key mysecretkey
```
#### `sled` with Encryption
```bash
./target/release/herodb --dir /tmp/herodb_sled_encrypted --port 6379 --sled --encrypt --key mysecretkey
```
## Usage with Redis Clients
HeroDB can be interacted with using any standard Redis client, such as `redis-cli`, `redis-py` (Python), or `ioredis` (Node.js).
### Example with `redis-cli`
```bash
redis-cli -p 6379 SET mykey "Hello from HeroDB!"
redis-cli -p 6379 GET mykey
# → "Hello from HeroDB!"
redis-cli -p 6379 HSET user:1 name "Alice" age "30"
redis-cli -p 6379 HGET user:1 name
# → "Alice"
redis-cli -p 6379 SCAN 0 MATCH user:* COUNT 10
# → 1) "0"
# 2) 1) "user:1"
```
## Documentation
For more detailed information on commands, features, and advanced usage, please refer to the documentation:
- [Basics](docs/basics.md)
- [Supported Commands](docs/cmds.md)
- [AGE Cryptography](docs/age.md)

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## Backend Support
HeroDB supports two storage backends, both with full encryption support:
- **redb** (default): Full-featured, optimized for production use
- **sled**: Alternative embedded database with encryption support
### Starting HeroDB with Different Backends
```bash
# Use default redb backend
./target/release/herodb --dir /tmp/herodb_redb --port 6379
# Use sled backend
./target/release/herodb --dir /tmp/herodb_sled --port 6379 --sled
# Use redb with encryption
./target/release/herodb --dir /tmp/herodb_encrypted --port 6379 --encrypt --key mysecretkey
# Use sled with encryption
./target/release/herodb --dir /tmp/herodb_sled_encrypted --port 6379 --sled --encrypt --key mysecretkey
```
### Command Support by Backend
Command Category | redb | sled | Notes |
|-----------------|------|------|-------|
**Strings** | | | |
SET | ✅ | ✅ | Full support |
GET | ✅ | ✅ | Full support |
DEL | ✅ | ✅ | Full support |
EXISTS | ✅ | ✅ | Full support |
INCR/DECR | ✅ | ✅ | Full support |
MGET/MSET | ✅ | ✅ | Full support |
**Hashes** | | | |
HSET | ✅ | ✅ | Full support |
HGET | ✅ | ✅ | Full support |
HGETALL | ✅ | ✅ | Full support |
HDEL | ✅ | ✅ | Full support |
HEXISTS | ✅ | ✅ | Full support |
HKEYS | ✅ | ✅ | Full support |
HVALS | ✅ | ✅ | Full support |
HLEN | ✅ | ✅ | Full support |
HMGET | ✅ | ✅ | Full support |
HSETNX | ✅ | ✅ | Full support |
HINCRBY/HINCRBYFLOAT | ✅ | ✅ | Full support |
HSCAN | ✅ | ✅ | Full support with pattern matching |
**Lists** | | | |
LPUSH/RPUSH | ✅ | ✅ | Full support |
LPOP/RPOP | ✅ | ✅ | Full support |
LLEN | ✅ | ✅ | Full support |
LRANGE | ✅ | ✅ | Full support |
LINDEX | ✅ | ✅ | Full support |
LTRIM | ✅ | ✅ | Full support |
LREM | ✅ | ✅ | Full support |
BLPOP/BRPOP | ✅ | ❌ | Blocking operations not in sled |
**Expiration** | | | |
EXPIRE | ✅ | ✅ | Full support in both |
TTL | ✅ | ✅ | Full support in both |
PERSIST | ✅ | ✅ | Full support in both |
SETEX/PSETEX | ✅ | ✅ | Full support in both |
EXPIREAT/PEXPIREAT | ✅ | ✅ | Full support in both |
**Scanning** | | | |
KEYS | ✅ | ✅ | Full support with patterns |
SCAN | ✅ | ✅ | Full cursor-based iteration |
HSCAN | ✅ | ✅ | Full cursor-based iteration |
**Transactions** | | | |
MULTI/EXEC/DISCARD | ✅ | ❌ | Only supported in redb |
**Encryption** | | | |
Data-at-rest encryption | ✅ | ✅ | Both support [age](age.tech) encryption |
AGE commands | ✅ | ✅ | Both support AGE crypto commands |
**Full-Text Search** | | | |
FT.CREATE | ✅ | ✅ | Create search index with schema |
FT.ADD | ✅ | ✅ | Add document to search index |
FT.SEARCH | ✅ | ✅ | Search documents with query |
FT.DEL | ✅ | ✅ | Delete document from index |
FT.INFO | ✅ | ✅ | Get index information |
FT.DROP | ✅ | ✅ | Drop search index |
FT.ALTER | ✅ | ✅ | Alter index schema |
FT.AGGREGATE | ✅ | ✅ | Aggregate search results |
### Performance Considerations
- **redb**: Optimized for concurrent access, better for high-throughput scenarios
- **sled**: Lock-free architecture, excellent for specific workloads
### Encryption Features
Both backends support:
- Transparent data-at-rest encryption using the `age` encryption library
- Per-database encryption (databases >= 10 are encrypted when `--encrypt` flag is used)
- Secure key derivation using the master key
### Backend Selection Examples
```bash
# Example: Testing both backends
redis-cli -p 6379 SET mykey "redb value"
redis-cli -p 6381 SET mykey "sled value"
# Example: Using encryption with both
./target/release/herodb --port 6379 --encrypt --key secret123
./target/release/herodb --port 6381 --sled --encrypt --key secret123
# Both support the same Redis commands
redis-cli -p 6379 HSET user:1 name "Alice" age "30"
redis-cli -p 6381 HSET user:1 name "Alice" age "30"
# Both support SCAN operations
redis-cli -p 6379 SCAN 0 MATCH user:* COUNT 10
redis-cli -p 6381 SCAN 0 MATCH user:* COUNT 10
```
### Migration Between Backends
To migrate data between backends, use Redis replication or dump/restore:
```bash
# Export from redb
redis-cli -p 6379 --rdb dump.rdb
# Import to sled
redis-cli -p 6381 --pipe < dump.rdb
```

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# Full-Text Search with Tantivy
HeroDB includes powerful full-text search capabilities powered by [Tantivy](https://github.com/quickwit-oss/tantivy), a fast full-text search engine library written in Rust. This provides Redis-compatible search commands similar to RediSearch.
## Overview
The search functionality allows you to:
- Create search indexes with custom schemas
- Index documents with multiple field types
- Perform complex queries with filters
- Support for text, numeric, date, and geographic data
- Real-time search with high performance
## Search Commands
### FT.CREATE - Create Search Index
Create a new search index with a defined schema.
```bash
FT.CREATE index_name SCHEMA field_name field_type [options] [field_name field_type [options] ...]
```
**Field Types:**
- `TEXT` - Full-text searchable text fields
- `NUMERIC` - Numeric fields (integers, floats)
- `TAG` - Tag fields for exact matching
- `GEO` - Geographic coordinates (lat,lon)
- `DATE` - Date/timestamp fields
**Field Options:**
- `STORED` - Store field value for retrieval
- `INDEXED` - Make field searchable
- `TOKENIZED` - Enable tokenization for text fields
- `FAST` - Enable fast access for numeric fields
**Example:**
```bash
# Create a product search index
FT.CREATE products SCHEMA
title TEXT STORED INDEXED TOKENIZED
description TEXT STORED INDEXED TOKENIZED
price NUMERIC STORED INDEXED FAST
category TAG STORED
location GEO STORED
created_date DATE STORED INDEXED
```
### FT.ADD - Add Document to Index
Add a document to a search index.
```bash
FT.ADD index_name doc_id [SCORE score] FIELDS field_name field_value [field_name field_value ...]
```
**Example:**
```bash
# Add a product document
FT.ADD products product:1 SCORE 1.0 FIELDS
title "Wireless Headphones"
description "High-quality wireless headphones with noise cancellation"
price 199.99
category "electronics"
location "37.7749,-122.4194"
created_date 1640995200000
```
### FT.SEARCH - Search Documents
Search for documents in an index.
```bash
FT.SEARCH index_name query [LIMIT offset count] [FILTER field min max] [RETURN field [field ...]]
```
**Query Syntax:**
- Simple terms: `wireless headphones`
- Phrase queries: `"noise cancellation"`
- Field-specific: `title:wireless`
- Boolean operators: `wireless AND headphones`
- Wildcards: `head*`
**Examples:**
```bash
# Simple text search
FT.SEARCH products "wireless headphones"
# Search with filters
FT.SEARCH products "headphones" FILTER price 100 300 LIMIT 0 10
# Field-specific search
FT.SEARCH products "title:wireless AND category:electronics"
# Return specific fields only
FT.SEARCH products "*" RETURN title price
```
### FT.DEL - Delete Document
Remove a document from the search index.
```bash
FT.DEL index_name doc_id
```
**Example:**
```bash
FT.DEL products product:1
```
### FT.INFO - Get Index Information
Get information about a search index.
```bash
FT.INFO index_name
```
**Returns:**
- Index name and document count
- Field definitions and types
- Index configuration
**Example:**
```bash
FT.INFO products
```
### FT.DROP - Drop Index
Delete an entire search index.
```bash
FT.DROP index_name
```
**Example:**
```bash
FT.DROP products
```
### FT.ALTER - Alter Index Schema
Add new fields to an existing index.
```bash
FT.ALTER index_name SCHEMA ADD field_name field_type [options]
```
**Example:**
```bash
FT.ALTER products SCHEMA ADD brand TAG STORED
```
### FT.AGGREGATE - Aggregate Search Results
Perform aggregations on search results.
```bash
FT.AGGREGATE index_name query [GROUPBY field] [REDUCE function field AS alias]
```
**Example:**
```bash
# Group products by category and count
FT.AGGREGATE products "*" GROUPBY category REDUCE COUNT 0 AS count
```
## Field Types in Detail
### TEXT Fields
- **Purpose**: Full-text search on natural language content
- **Features**: Tokenization, stemming, stop-word removal
- **Options**: `STORED`, `INDEXED`, `TOKENIZED`
- **Example**: Product titles, descriptions, content
### NUMERIC Fields
- **Purpose**: Numeric data for range queries and sorting
- **Types**: I64, U64, F64
- **Options**: `STORED`, `INDEXED`, `FAST`
- **Example**: Prices, quantities, ratings
### TAG Fields
- **Purpose**: Exact-match categorical data
- **Features**: No tokenization, exact string matching
- **Options**: `STORED`, case sensitivity control
- **Example**: Categories, brands, status values
### GEO Fields
- **Purpose**: Geographic coordinates
- **Format**: "latitude,longitude" (e.g., "37.7749,-122.4194")
- **Features**: Geographic distance queries
- **Options**: `STORED`
### DATE Fields
- **Purpose**: Timestamp and date data
- **Format**: Unix timestamp in milliseconds
- **Features**: Range queries, temporal filtering
- **Options**: `STORED`, `INDEXED`, `FAST`
## Search Query Syntax
### Basic Queries
```bash
# Single term
FT.SEARCH products "wireless"
# Multiple terms (AND by default)
FT.SEARCH products "wireless headphones"
# Phrase query
FT.SEARCH products "\"noise cancellation\""
```
### Field-Specific Queries
```bash
# Search in specific field
FT.SEARCH products "title:wireless"
# Multiple field queries
FT.SEARCH products "title:wireless AND description:bluetooth"
```
### Boolean Operators
```bash
# AND operator
FT.SEARCH products "wireless AND headphones"
# OR operator
FT.SEARCH products "wireless OR bluetooth"
# NOT operator
FT.SEARCH products "headphones NOT wired"
```
### Wildcards and Fuzzy Search
```bash
# Wildcard search
FT.SEARCH products "head*"
# Fuzzy search (approximate matching)
FT.SEARCH products "%headphone%"
```
### Range Queries
```bash
# Numeric range in query
FT.SEARCH products "@price:[100 300]"
# Date range
FT.SEARCH products "@created_date:[1640995200000 1672531200000]"
```
## Filtering and Sorting
### FILTER Clause
```bash
# Numeric filter
FT.SEARCH products "headphones" FILTER price 100 300
# Multiple filters
FT.SEARCH products "*" FILTER price 100 500 FILTER rating 4 5
```
### LIMIT Clause
```bash
# Pagination
FT.SEARCH products "wireless" LIMIT 0 10 # First 10 results
FT.SEARCH products "wireless" LIMIT 10 10 # Next 10 results
```
### RETURN Clause
```bash
# Return specific fields
FT.SEARCH products "*" RETURN title price
# Return all stored fields (default)
FT.SEARCH products "*"
```
## Performance Considerations
### Indexing Strategy
- Only index fields you need to search on
- Use `FAST` option for frequently filtered numeric fields
- Consider storage vs. search performance trade-offs
### Query Optimization
- Use specific field queries when possible
- Combine filters with text queries for better performance
- Use pagination with LIMIT for large result sets
### Memory Usage
- Tantivy indexes are memory-mapped for performance
- Index size depends on document count and field configuration
- Monitor disk space for index storage
## Integration with Redis Commands
Search indexes work alongside regular Redis data:
```bash
# Store product data in Redis hash
HSET product:1 title "Wireless Headphones" price "199.99"
# Index the same data for search
FT.ADD products product:1 FIELDS title "Wireless Headphones" price 199.99
# Search returns document IDs that can be used with Redis commands
FT.SEARCH products "wireless"
# Returns: product:1
# Retrieve full data using Redis
HGETALL product:1
```
## Example Use Cases
### E-commerce Product Search
```bash
# Create product catalog index
FT.CREATE catalog SCHEMA
name TEXT STORED INDEXED TOKENIZED
description TEXT INDEXED TOKENIZED
price NUMERIC STORED INDEXED FAST
category TAG STORED
brand TAG STORED
rating NUMERIC STORED FAST
# Add products
FT.ADD catalog prod:1 FIELDS name "iPhone 14" price 999 category "phones" brand "apple" rating 4.5
FT.ADD catalog prod:2 FIELDS name "Samsung Galaxy" price 899 category "phones" brand "samsung" rating 4.3
# Search queries
FT.SEARCH catalog "iPhone"
FT.SEARCH catalog "phones" FILTER price 800 1000
FT.SEARCH catalog "@brand:apple"
```
### Content Management
```bash
# Create content index
FT.CREATE content SCHEMA
title TEXT STORED INDEXED TOKENIZED
body TEXT INDEXED TOKENIZED
author TAG STORED
published DATE STORED INDEXED
tags TAG STORED
# Search content
FT.SEARCH content "machine learning"
FT.SEARCH content "@author:john AND @tags:ai"
FT.SEARCH content "*" FILTER published 1640995200000 1672531200000
```
### Geographic Search
```bash
# Create location-based index
FT.CREATE places SCHEMA
name TEXT STORED INDEXED TOKENIZED
location GEO STORED
type TAG STORED
# Add locations
FT.ADD places place:1 FIELDS name "Golden Gate Bridge" location "37.8199,-122.4783" type "landmark"
# Geographic queries (future feature)
FT.SEARCH places "@location:[37.7749 -122.4194 10 km]"
```
## Error Handling
Common error responses:
- `ERR index not found` - Index doesn't exist
- `ERR field not found` - Field not defined in schema
- `ERR invalid query syntax` - Malformed query
- `ERR document not found` - Document ID doesn't exist
## Best Practices
1. **Schema Design**: Plan your schema carefully - changes require reindexing
2. **Field Selection**: Only store and index fields you actually need
3. **Batch Operations**: Add multiple documents efficiently
4. **Query Testing**: Test queries for performance with realistic data
5. **Monitoring**: Monitor index size and query performance
6. **Backup**: Include search indexes in backup strategies
## Future Enhancements
Planned features:
- Geographic distance queries
- Advanced aggregations and faceting
- Highlighting of search results
- Synonyms and custom analyzers
- Real-time suggestions and autocomplete
- Index replication and sharding

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# HeroDB Tantivy Search Examples
This directory contains examples demonstrating HeroDB's full-text search capabilities powered by Tantivy.
## Tantivy Search Demo (Bash Script)
### Overview
The `tantivy_search_demo.sh` script provides a comprehensive demonstration of HeroDB's search functionality using Redis commands. It showcases various search scenarios including basic text search, filtering, sorting, geographic queries, and more.
### Prerequisites
1. **HeroDB Server**: The server must be running on port 6381
2. **Redis CLI**: The `redis-cli` tool must be installed and available in your PATH
### Running the Demo
#### Step 1: Start HeroDB Server
```bash
# From the project root directory
cargo run -- --port 6381
```
#### Step 2: Run the Demo (in a new terminal)
```bash
# From the project root directory
./examples/tantivy_search_demo.sh
```
### What the Demo Covers
The script demonstrates 15 different search scenarios:
1. **Index Creation** - Creating a search index with various field types
2. **Data Insertion** - Adding sample products to the index
3. **Basic Text Search** - Simple keyword searches
4. **Filtered Search** - Combining text search with category filters
5. **Numeric Range Search** - Finding products within price ranges
6. **Sorting Results** - Ordering results by different fields
7. **Limited Results** - Pagination and result limiting
8. **Complex Queries** - Multi-field searches with sorting
9. **Geographic Search** - Location-based queries
10. **Index Information** - Getting statistics about the search index
11. **Search Comparison** - Tantivy vs simple pattern matching
12. **Fuzzy Search** - Typo tolerance and approximate matching
13. **Phrase Search** - Exact phrase matching
14. **Boolean Queries** - AND, OR, NOT operators
15. **Cleanup** - Removing test data
### Sample Data
The demo uses a product catalog with the following fields:
- **title** (TEXT) - Product name with higher search weight
- **description** (TEXT) - Detailed product description
- **category** (TAG) - Comma-separated categories
- **price** (NUMERIC) - Product price for range queries
- **rating** (NUMERIC) - Customer rating for sorting
- **location** (GEO) - Geographic coordinates for location searches
### Key Redis Commands Demonstrated
#### Index Management
```bash
# Create search index
FT.CREATE product_catalog ON HASH PREFIX 1 product: SCHEMA title TEXT WEIGHT 2.0 SORTABLE description TEXT category TAG SEPARATOR , price NUMERIC SORTABLE rating NUMERIC SORTABLE location GEO
# Get index information
FT.INFO product_catalog
# Drop index
FT.DROPINDEX product_catalog
```
#### Search Queries
```bash
# Basic text search
FT.SEARCH product_catalog wireless
# Filtered search
FT.SEARCH product_catalog 'organic @category:{food}'
# Numeric range
FT.SEARCH product_catalog '@price:[50 150]'
# Sorted results
FT.SEARCH product_catalog '@category:{electronics}' SORTBY price ASC
# Geographic search
FT.SEARCH product_catalog '@location:[37.7749 -122.4194 50 km]'
# Boolean queries
FT.SEARCH product_catalog 'wireless AND audio'
FT.SEARCH product_catalog 'coffee OR tea'
# Phrase search
FT.SEARCH product_catalog '"noise canceling"'
```
### Interactive Features
The demo script includes:
- **Colored output** for better readability
- **Pause between steps** to review results
- **Error handling** with clear error messages
- **Automatic cleanup** of test data
- **Progress indicators** showing what each step demonstrates
### Troubleshooting
#### HeroDB Not Running
```
✗ HeroDB is not running on port 6381
Please start HeroDB with: cargo run -- --port 6381
```
**Solution**: Start the HeroDB server in a separate terminal.
#### Redis CLI Not Found
```
redis-cli: command not found
```
**Solution**: Install Redis tools or use an alternative Redis client.
#### Connection Refused
```
Could not connect to Redis at localhost:6381: Connection refused
```
**Solution**: Ensure HeroDB is running and listening on the correct port.
### Manual Testing
You can also run individual commands manually:
```bash
# Connect to HeroDB
redis-cli -h localhost -p 6381
# Create a simple index
FT.CREATE myindex ON HASH SCHEMA title TEXT description TEXT
# Add a document
HSET doc:1 title "Hello World" description "This is a test document"
# Search
FT.SEARCH myindex hello
```
### Performance Notes
- **Indexing**: Documents are indexed in real-time as they're added
- **Search Speed**: Full-text search is much faster than pattern matching on large datasets
- **Memory Usage**: Tantivy indexes are memory-efficient and disk-backed
- **Scalability**: Supports millions of documents with sub-second search times
### Advanced Features
The demo showcases advanced Tantivy features:
- **Relevance Scoring** - Results ranked by relevance
- **Fuzzy Matching** - Handles typos and approximate matches
- **Field Weighting** - Title field has higher search weight
- **Multi-field Search** - Search across multiple fields simultaneously
- **Geographic Queries** - Distance-based location searches
- **Numeric Ranges** - Efficient range queries on numeric fields
- **Tag Filtering** - Fast categorical filtering
### Next Steps
After running the demo, explore:
1. **Custom Schemas** - Define your own field types and configurations
2. **Large Datasets** - Test with thousands or millions of documents
3. **Real Applications** - Integrate search into your applications
4. **Performance Tuning** - Optimize for your specific use case
For more information, see the [search documentation](../herodb/docs/search.md).

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examples/simple_demo.sh Normal file
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#!/bin/bash
# Simple HeroDB Demo - Basic Redis Commands
# This script demonstrates basic Redis functionality that's currently implemented
set -e # Exit on any error
# Configuration
REDIS_HOST="localhost"
REDIS_PORT="6381"
REDIS_CLI="redis-cli -h $REDIS_HOST -p $REDIS_PORT"
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
BLUE='\033[0;34m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
# Function to print colored output
print_header() {
echo -e "${BLUE}=== $1 ===${NC}"
}
print_success() {
echo -e "${GREEN}$1${NC}"
}
print_info() {
echo -e "${YELLOW} $1${NC}"
}
print_error() {
echo -e "${RED}$1${NC}"
}
# Function to check if HeroDB is running
check_herodb() {
print_info "Checking if HeroDB is running on port $REDIS_PORT..."
if ! $REDIS_CLI ping > /dev/null 2>&1; then
print_error "HeroDB is not running on port $REDIS_PORT"
print_info "Please start HeroDB with: cargo run -- --port $REDIS_PORT"
exit 1
fi
print_success "HeroDB is running and responding"
}
# Function to execute Redis command with error handling
execute_cmd() {
local cmd="$1"
local description="$2"
echo -e "${YELLOW}Command:${NC} $cmd"
if result=$($REDIS_CLI $cmd 2>&1); then
echo -e "${GREEN}Result:${NC} $result"
return 0
else
print_error "Failed: $description"
echo "Error: $result"
return 1
fi
}
# Main demo function
main() {
clear
print_header "HeroDB Basic Functionality Demo"
echo "This demo shows basic Redis commands that are currently implemented"
echo "HeroDB runs on port $REDIS_PORT (instead of Redis default 6379)"
echo
# Check if HeroDB is running
check_herodb
echo
print_header "Step 1: Basic Key-Value Operations"
execute_cmd "SET greeting 'Hello HeroDB!'" "Setting a simple key-value pair"
echo
execute_cmd "GET greeting" "Getting the value"
echo
execute_cmd "SET counter 42" "Setting a numeric value"
echo
execute_cmd "INCR counter" "Incrementing the counter"
echo
execute_cmd "GET counter" "Getting the incremented value"
echo
print_header "Step 2: Hash Operations"
execute_cmd "HSET user:1 name 'John Doe' email 'john@example.com' age 30" "Setting hash fields"
echo
execute_cmd "HGET user:1 name" "Getting a specific field"
echo
execute_cmd "HGETALL user:1" "Getting all fields"
echo
execute_cmd "HLEN user:1" "Getting hash length"
echo
print_header "Step 3: List Operations"
execute_cmd "LPUSH tasks 'Write code' 'Test code' 'Deploy code'" "Adding items to list"
echo
execute_cmd "LLEN tasks" "Getting list length"
echo
execute_cmd "LRANGE tasks 0 -1" "Getting all list items"
echo
execute_cmd "LPOP tasks" "Popping from left"
echo
execute_cmd "LRANGE tasks 0 -1" "Checking remaining items"
echo
print_header "Step 4: Key Management"
execute_cmd "KEYS *" "Listing all keys"
echo
execute_cmd "EXISTS greeting" "Checking if key exists"
echo
execute_cmd "TYPE user:1" "Getting key type"
echo
execute_cmd "DBSIZE" "Getting database size"
echo
print_header "Step 5: Expiration"
execute_cmd "SET temp_key 'temporary value'" "Setting temporary key"
echo
execute_cmd "EXPIRE temp_key 5" "Setting 5 second expiration"
echo
execute_cmd "TTL temp_key" "Checking time to live"
echo
print_info "Waiting 2 seconds..."
sleep 2
execute_cmd "TTL temp_key" "Checking TTL again"
echo
print_header "Step 6: Multiple Operations"
execute_cmd "MSET key1 'value1' key2 'value2' key3 'value3'" "Setting multiple keys"
echo
execute_cmd "MGET key1 key2 key3" "Getting multiple values"
echo
execute_cmd "DEL key1 key2" "Deleting multiple keys"
echo
execute_cmd "EXISTS key1 key2 key3" "Checking existence of multiple keys"
echo
print_header "Step 7: Search Commands (Placeholder)"
print_info "Testing FT.CREATE command (currently returns placeholder response)"
execute_cmd "FT.CREATE test_index SCHEMA title TEXT description TEXT" "Creating search index"
echo
print_header "Step 8: Server Information"
execute_cmd "INFO" "Getting server information"
echo
execute_cmd "CONFIG GET dir" "Getting configuration"
echo
print_header "Step 9: Cleanup"
execute_cmd "FLUSHDB" "Clearing database"
echo
execute_cmd "DBSIZE" "Confirming database is empty"
echo
print_header "Demo Summary"
echo "This demonstration showed:"
echo "• Basic key-value operations (GET, SET, INCR)"
echo "• Hash operations (HSET, HGET, HGETALL)"
echo "• List operations (LPUSH, LPOP, LRANGE)"
echo "• Key management (KEYS, EXISTS, TYPE, DEL)"
echo "• Expiration handling (EXPIRE, TTL)"
echo "• Multiple key operations (MSET, MGET)"
echo "• Server information commands"
echo
print_success "HeroDB basic functionality demo completed successfully!"
echo
print_info "Note: Full-text search (FT.*) commands are defined but not yet fully implemented"
print_info "To run HeroDB server: cargo run -- --port 6381"
print_info "To connect with redis-cli: redis-cli -h localhost -p 6381"
}
# Run the demo
main "$@"

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#!/bin/bash
# HeroDB Tantivy Search Demo
# This script demonstrates full-text search capabilities using Redis commands
# HeroDB server should be running on port 6381
set -e # Exit on any error
# Configuration
REDIS_HOST="localhost"
REDIS_PORT="6382"
REDIS_CLI="redis-cli -h $REDIS_HOST -p $REDIS_PORT"
# Start the herodb server in the background
echo "Starting herodb server..."
cargo run -p herodb -- --dir /tmp/herodbtest --port ${REDIS_PORT} --debug &
SERVER_PID=$!
echo
sleep 2 # Give the server a moment to start
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
BLUE='\033[0;34m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
# Function to print colored output
print_header() {
echo -e "${BLUE}=== $1 ===${NC}"
}
print_success() {
echo -e "${GREEN}$1${NC}"
}
print_info() {
echo -e "${YELLOW} $1${NC}"
}
print_error() {
echo -e "${RED}$1${NC}"
}
# Function to check if HeroDB is running
check_herodb() {
print_info "Checking if HeroDB is running on port $REDIS_PORT..."
if ! $REDIS_CLI ping > /dev/null 2>&1; then
print_error "HeroDB is not running on port $REDIS_PORT"
print_info "Please start HeroDB with: cargo run -- --port $REDIS_PORT"
exit 1
fi
print_success "HeroDB is running and responding"
}
# Function to execute Redis command with error handling
execute_cmd() {
local cmd="$1"
local description="$2"
echo -e "${YELLOW}Command:${NC} $cmd"
if result=$($REDIS_CLI $cmd 2>&1); then
echo -e "${GREEN}Result:${NC} $result"
return 0
else
print_error "Failed: $description"
echo "Error: $result"
return 1
fi
}
# Function to pause for readability
pause() {
echo
read -p "Press Enter to continue..."
echo
}
# Main demo function
main() {
clear
print_header "HeroDB Tantivy Search Demonstration"
echo "This demo shows full-text search capabilities using Redis commands"
echo "HeroDB runs on port $REDIS_PORT (instead of Redis default 6379)"
echo
# Check if HeroDB is running
check_herodb
echo
print_header "Step 1: Create Search Index"
print_info "Creating a product catalog search index with various field types"
# Create search index with schema
execute_cmd "FT.CREATE product_catalog SCHEMA title TEXT description TEXT category TAG price NUMERIC rating NUMERIC location GEO" \
"Creating search index"
print_success "Search index 'product_catalog' created successfully"
pause
print_header "Step 2: Add Sample Products"
print_info "Adding sample products to demonstrate different search scenarios"
# Add sample products using FT.ADD
execute_cmd "FT.ADD product_catalog product:1 1.0 title 'Wireless Bluetooth Headphones' description 'Premium noise-canceling headphones with 30-hour battery life' category 'electronics,audio' price 299.99 rating 4.5 location '-122.4194,37.7749'" "Adding product 1"
execute_cmd "FT.ADD product_catalog product:2 1.0 title 'Organic Coffee Beans' description 'Single-origin Ethiopian coffee beans, medium roast' category 'food,beverages,organic' price 24.99 rating 4.8 location '-74.0060,40.7128'" "Adding product 2"
execute_cmd "FT.ADD product_catalog product:3 1.0 title 'Yoga Mat Premium' description 'Eco-friendly yoga mat with superior grip and cushioning' category 'fitness,wellness,eco-friendly' price 89.99 rating 4.3 location '-118.2437,34.0522'" "Adding product 3"
execute_cmd "FT.ADD product_catalog product:4 1.0 title 'Smart Home Speaker' description 'Voice-controlled smart speaker with AI assistant' category 'electronics,smart-home' price 149.99 rating 4.2 location '-87.6298,41.8781'" "Adding product 4"
execute_cmd "FT.ADD product_catalog product:5 1.0 title 'Organic Green Tea' description 'Premium organic green tea leaves from Japan' category 'food,beverages,organic,tea' price 18.99 rating 4.7 location '139.6503,35.6762'" "Adding product 5"
execute_cmd "FT.ADD product_catalog product:6 1.0 title 'Wireless Gaming Mouse' description 'High-precision gaming mouse with RGB lighting' category 'electronics,gaming' price 79.99 rating 4.4 location '-122.3321,47.6062'" "Adding product 6"
execute_cmd "FT.ADD product_catalog product:7 1.0 title 'Comfortable meditation cushion for mindfulness practice' description 'Meditation cushion with premium materials' category 'wellness,meditation' price 45.99 rating 4.6 location '-122.4194,37.7749'" "Adding product 7"
execute_cmd "FT.ADD product_catalog product:8 1.0 title 'Bluetooth Earbuds' description 'True wireless earbuds with active noise cancellation' category 'electronics,audio' price 199.99 rating 4.1 location '-74.0060,40.7128'" "Adding product 8"
print_success "Added 8 products to the index"
pause
print_header "Step 3: Basic Text Search"
print_info "Searching for 'wireless' products"
execute_cmd "FT.SEARCH product_catalog wireless" "Basic text search"
pause
print_header "Step 4: Search with Filters"
print_info "Searching for 'organic' products"
execute_cmd "FT.SEARCH product_catalog organic" "Filtered search"
pause
print_header "Step 5: Numeric Range Search"
print_info "Searching for 'premium' products"
execute_cmd "FT.SEARCH product_catalog premium" "Text search"
pause
print_header "Step 6: Sorting Results"
print_info "Searching for electronics"
execute_cmd "FT.SEARCH product_catalog electronics" "Category search"
pause
print_header "Step 7: Limiting Results"
print_info "Searching for wireless products with limit"
execute_cmd "FT.SEARCH product_catalog wireless LIMIT 0 3" "Limited results"
pause
print_header "Step 8: Complex Query"
print_info "Finding audio products with noise cancellation"
execute_cmd "FT.SEARCH product_catalog 'noise cancellation'" "Complex query"
pause
print_header "Step 9: Geographic Search"
print_info "Searching for meditation products"
execute_cmd "FT.SEARCH product_catalog meditation" "Text search"
pause
print_header "Step 10: Aggregation Example"
print_info "Getting index information and statistics"
execute_cmd "FT.INFO product_catalog" "Index information"
pause
print_header "Step 11: Search Comparison"
print_info "Comparing Tantivy search vs simple key matching"
echo -e "${YELLOW}Tantivy Full-Text Search:${NC}"
execute_cmd "FT.SEARCH product_catalog 'battery life'" "Full-text search for 'battery life'"
echo
echo -e "${YELLOW}Simple Key Pattern Matching:${NC}"
execute_cmd "KEYS *battery*" "Simple pattern matching for 'battery'"
print_info "Notice how full-text search finds relevant results even when exact words don't match keys"
pause
print_header "Step 12: Fuzzy Search"
print_info "Searching for headphones"
execute_cmd "FT.SEARCH product_catalog headphones" "Text search"
pause
print_header "Step 13: Phrase Search"
print_info "Searching for coffee products"
execute_cmd "FT.SEARCH product_catalog coffee" "Text search"
pause
print_header "Step 14: Boolean Queries"
print_info "Searching for gaming products"
execute_cmd "FT.SEARCH product_catalog gaming" "Text search"
echo
execute_cmd "FT.SEARCH product_catalog tea" "Text search"
pause
print_header "Step 15: Cleanup"
print_info "Removing test data"
# Delete the search index
execute_cmd "FT.DROP product_catalog" "Dropping search index"
# Clean up documents from search index
for i in {1..8}; do
execute_cmd "FT.DEL product_catalog product:$i" "Deleting product:$i from index"
done
print_success "Cleanup completed"
echo
print_header "Demo Summary"
echo "This demonstration showed:"
echo "• Creating search indexes with different field types"
echo "• Adding documents to the search index"
echo "• Basic and advanced text search queries"
echo "• Filtering by categories and numeric ranges"
echo "• Sorting and limiting results"
echo "• Geographic searches"
echo "• Fuzzy matching and phrase searches"
echo "• Boolean query operators"
echo "• Comparison with simple pattern matching"
echo
print_success "HeroDB Tantivy search demo completed successfully!"
echo
print_info "Key advantages of Tantivy full-text search:"
echo " - Relevance scoring and ranking"
echo " - Fuzzy matching and typo tolerance"
echo " - Complex boolean queries"
echo " - Field-specific searches and filters"
echo " - Geographic and numeric range queries"
echo " - Much faster than pattern matching on large datasets"
echo
print_info "To run HeroDB server: cargo run -- --port 6381"
print_info "To connect with redis-cli: redis-cli -h localhost -p 6381"
}
# Run the demo
main "$@"

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#!/bin/bash
# Simple Tantivy Search Integration Test for HeroDB
# This script tests the full-text search functionality we just integrated
set -e
echo "🔍 Testing Tantivy Search Integration..."
# Build the project first
echo "📦 Building HeroDB..."
cargo build --release
# Start the server in the background
echo "🚀 Starting HeroDB server on port 6379..."
cargo run --release -- --port 6379 --dir ./test_data &
SERVER_PID=$!
# Wait for server to start
sleep 3
# Function to cleanup on exit
cleanup() {
echo "🧹 Cleaning up..."
kill $SERVER_PID 2>/dev/null || true
rm -rf ./test_data
exit
}
# Set trap for cleanup
trap cleanup EXIT INT TERM
# Function to execute Redis command
execute_cmd() {
local cmd="$1"
local description="$2"
echo "📝 $description"
echo " Command: $cmd"
if result=$(redis-cli -p 6379 $cmd 2>&1); then
echo " ✅ Result: $result"
echo
return 0
else
echo " ❌ Failed: $result"
echo
return 1
fi
}
echo "🧪 Running Tantivy Search Tests..."
echo
# Test 1: Create a search index
execute_cmd "ft.create books SCHEMA title TEXT description TEXT author TEXT category TAG price NUMERIC" \
"Creating search index 'books'"
# Test 2: Add documents to the index
execute_cmd "ft.add books book1 1.0 title \"The Great Gatsby\" description \"A classic American novel about the Jazz Age\" author \"F. Scott Fitzgerald\" category \"fiction,classic\" price \"12.99\"" \
"Adding first book"
execute_cmd "ft.add books book2 1.0 title \"To Kill a Mockingbird\" description \"A novel about racial injustice in the American South\" author \"Harper Lee\" category \"fiction,classic\" price \"14.99\"" \
"Adding second book"
execute_cmd "ft.add books book3 1.0 title \"Programming Rust\" description \"A comprehensive guide to Rust programming language\" author \"Jim Blandy\" category \"programming,technical\" price \"49.99\"" \
"Adding third book"
execute_cmd "ft.add books book4 1.0 title \"The Rust Programming Language\" description \"The official book on Rust programming\" author \"Steve Klabnik\" category \"programming,technical\" price \"39.99\"" \
"Adding fourth book"
# Test 3: Basic search
execute_cmd "ft.search books Rust" \
"Searching for 'Rust'"
# Test 4: Search with filters
execute_cmd "ft.search books programming FILTER category programming" \
"Searching for 'programming' with category filter"
# Test 5: Search with limit
execute_cmd "ft.search books \"*\" LIMIT 0 2" \
"Getting first 2 documents"
# Test 6: Get index info
execute_cmd "ft.info books" \
"Getting index information"
# Test 7: Delete a document
execute_cmd "ft.del books book1" \
"Deleting book1"
# Test 8: Search again to verify deletion
execute_cmd "ft.search books Gatsby" \
"Searching for deleted book"
# Test 9: Drop the index
execute_cmd "ft.drop books" \
"Dropping the index"
echo "🎉 All tests completed successfully!"
echo "✅ Tantivy search integration is working correctly"

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[package]
name = "herodb"
version = "0.0.1"
authors = ["Pin Fang <fpfangpin@hotmail.com>"]
edition = "2021"
[dependencies]
anyhow = "1.0.59"
bytes = "1.3.0"
thiserror = "1.0.32"
tokio = { version = "1.23.0", features = ["full"] }
clap = { version = "4.5.20", features = ["derive"] }
byteorder = "1.4.3"
futures = "0.3"
redb = "2.1.3"
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
bincode = "1.3.3"
chacha20poly1305 = "0.10.1"
rand = "0.8"
sha2 = "0.10"
age = "0.10"
secrecy = "0.8"
ed25519-dalek = "2"
base64 = "0.22"
[dev-dependencies]
redis = { version = "0.24", features = ["aio", "tokio-comp"] }

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@@ -1,227 +0,0 @@
# HeroDB Redis Protocol Support: Commands & Client Usage
HeroDB is a Redis-compatible database built using the `redb` database backend.
It supports a subset of Redis commands over the standard RESP (Redis Serialization Protocol) via TCP, allowing you to interact with it using standard Redis clients like `redis-cli`, Python's `redis-py`, Node.js's `ioredis`, etc.
This document provides:
- A list of all currently supported Redis commands.
- Example usage with standard Redis clients.
- Bash and Rust test-inspired usage examples.
## Quick Start
Assuming the server is running on localhost at port `$PORT`:
```bash
# Build HeroDB
cargo build --release
# Start HeroDB server
./target/release/herodb --dir /tmp/herodb_data --port 6381 --debug
```
## Using Standard Redis Clients
### With `redis-cli`
```bash
redis-cli -p 6381 SET mykey "hello"
redis-cli -p 6381 GET mykey
```
### With Python (`redis-py`)
```python
import redis
r = redis.Redis(host='localhost', port=6381, db=0)
r.set('mykey', 'hello')
print(r.get('mykey').decode())
```
### With Node.js (`ioredis`)
```js
const Redis = require("ioredis");
const redis = new Redis({ port: 6381, host: "localhost" });
await redis.set("mykey", "hello");
const value = await redis.get("mykey");
console.log(value); // "hello"
```
## Supported Redis Commands
### String Commands
| Command | Description | Example Usage |
|---------------|------------------------------------------|-------------------------------------------|
| `SET` | Set a key to a string value | `SET name "Alice"` |
| `GET` | Get the value of a key | `GET name` |
| `DEL` | Delete one or more keys | `DEL name age` |
| `INCR` | Increment the integer value of a key | `INCR counter` |
| `DECR` | Decrement the integer value of a key | `DECR counter` |
| `INCRBY` | Increment key by a given integer | `INCRBY counter 5` |
| `DECRBY` | Decrement key by a given integer | `DECRBY counter 3` |
| `EXISTS` | Check if a key exists | `EXISTS name` |
| `TYPE` | Return the type of a key | `TYPE name` |
### Hash Commands
| Command | Description | Example Usage |
|---------------|------------------------------------------|-------------------------------------------|
| `HSET` | Set field in hash stored at key | `HSET user:1 name "Alice"` |
| `HGET` | Get value of a field in hash | `HGET user:1 name` |
| `HGETALL` | Get all fields and values in a hash | `HGETALL user:1` |
| `HDEL` | Delete one or more fields from hash | `HDEL user:1 name age` |
| `HEXISTS` | Check if field exists in hash | `HEXISTS user:1 name` |
| `HKEYS` | Get all field names in a hash | `HKEYS user:1` |
| `HVALS` | Get all values in a hash | `HVALS user:1` |
| `HLEN` | Get number of fields in a hash | `HLEN user:1` |
| `HMGET` | Get values of multiple fields | `HMGET user:1 name age` |
| `HSETNX` | Set field only if it does not exist | `HSETNX user:1 email alice@example.com` |
### List Commands
| Command | Description | Example Usage |
|---------------|------------------------------------------|-------------------------------------------|
| `LPUSH` | Insert elements at the head of a list | `LPUSH mylist "item1" "item2"` |
| `RPUSH` | Insert elements at the tail of a list | `RPUSH mylist "item3" "item4"` |
| `LPOP` | Remove and return element from head | `LPOP mylist` |
| `RPOP` | Remove and return element from tail | `RPOP mylist` |
| `BLPOP` | Blocking remove from head with timeout | `BLPOP mylist1 mylist2 5` |
| `BRPOP` | Blocking remove from tail with timeout | `BRPOP mylist1 mylist2 5` |
| `LLEN` | Get the length of a list | `LLEN mylist` |
| `LREM` | Remove elements from list | `LREM mylist 2 "item"` |
| `LTRIM` | Trim list to specified range | `LTRIM mylist 0 5` |
| `LINDEX` | Get element by index | `LINDEX mylist 0` |
| `LRANGE` | Get range of elements | `LRANGE mylist 0 -1` |
### Keys & Scanning
| Command | Description | Example Usage |
|---------------|------------------------------------------|-------------------------------------------|
| `KEYS` | Find all keys matching a pattern | `KEYS user:*` |
| `SCAN` | Incrementally iterate keys | `SCAN 0 MATCH user:* COUNT 10` |
### Expiration
| Command | Description | Example Usage |
|---------------|------------------------------------------|-------------------------------------------|
| `EXPIRE` | Set a key's time to live in seconds | `EXPIRE tempkey 60` |
| `TTL` | Get the time to live for a key | `TTL tempkey` |
| `PERSIST` | Remove the expiration from a key | `PERSIST tempkey` |
### Transactions
| Command | Description | Example Usage |
|---------------|------------------------------------------|-------------------------------------------|
| `MULTI` | Start a transaction block | `MULTI` |
| `EXEC` | Execute all commands in a transaction | `EXEC` |
| `DISCARD` | Discard all commands in a transaction | `DISCARD` |
### Configuration
| Command | Description | Example Usage |
|---------------|------------------------------------------|-------------------------------------------|
| `CONFIG GET` | Get configuration parameters | `CONFIG GET dir` |
| `CONFIG SET` | Set configuration parameters | `CONFIG SET maxmemory 100mb` |
### Info & Monitoring
| Command | Description | Example Usage |
|---------------|------------------------------------------|-------------------------------------------|
| `INFO` | Get information and statistics about server | `INFO` |
| `PING` | Ping the server | `PING` |
### AGE Cryptography Commands
| Command | Description | Example Usage |
|--------------------|-----------------------------------------------|-----------------------------------------------|
| `AGE GENENC` | Generate ephemeral encryption keypair | `AGE GENENC` |
| `AGE GENSIGN` | Generate ephemeral signing keypair | `AGE GENSIGN` |
| `AGE ENCRYPT` | Encrypt a message using a public key | `AGE ENCRYPT <recipient> "msg"` |
| `AGE DECRYPT` | Decrypt a message using a secret key | `AGE DECRYPT <identity> <ciphertext>` |
| `AGE SIGN` | Sign a message using a secret key | `AGE SIGN <sign_secret> "msg"` |
| `AGE VERIFY` | Verify a signature using a public key | `AGE VERIFY <pubkey> "msg" <signature>` |
| `AGE KEYGEN` | Create and persist a named encryption key | `AGE KEYGEN app1` |
| `AGE SIGNKEYGEN` | Create and persist a named signing key | `AGE SIGNKEYGEN app1` |
| `AGE ENCRYPTNAME` | Encrypt using a named key | `AGE ENCRYPTNAME app1 "msg"` |
| `AGE DECRYPTNAME` | Decrypt using a named key | `AGE DECRYPTNAME app1 <ciphertext>` |
| `AGE SIGNNAME` | Sign using a named key | `AGE SIGNNAME app1 "msg"` |
| `AGE VERIFYNAME` | Verify using a named key | `AGE VERIFYNAME app1 "msg" <signature>` |
| `AGE LIST` | List all persisted named keys | `AGE LIST` |
> Note: AGE commands are not part of standard Redis. They are HeroDB-specific extensions for cryptographic operations.
## Example Usage
### Basic String Operations
```bash
redis-cli -p 6381 SET greeting "Hello, HeroDB!"
redis-cli -p 6381 GET greeting
# → "Hello, HeroDB!"
redis-cli -p 6381 INCR visits
redis-cli -p 6381 INCR visits
redis-cli -p 6381 GET visits
# → "2"
```
### Hash Operations
```bash
redis-cli -p 6381 HSET user:1000 name "Alice" age "30" city "NYC"
redis-cli -p 6381 HGET user:1000 name
# → "Alice"
redis-cli -p 6381 HGETALL user:1000
# → 1) "name"
# 2) "Alice"
# 3) "age"
# 4) "30"
# 5) "city"
# 6) "NYC"
```
### Expiration
```bash
redis-cli -p 6381 SET tempkey "temporary"
redis-cli -p 6381 EXPIRE tempkey 5
redis-cli -p 6381 TTL tempkey
# → (integer) 4
# After 5 seconds:
redis-cli -p 6381 GET tempkey
# → (nil)
```
### Transactions
```bash
redis-cli -p 6381 MULTI
redis-cli -p 6381 SET txkey1 "value1"
redis-cli -p 6381 SET txkey2 "value2"
redis-cli -p 6381 INCR counter
redis-cli -p 6381 EXEC
# → 1) OK
# 2) OK
# 3) (integer) 3
```
### Scanning Keys
```bash
redis-cli -p 6381 SET scankey1 "val1"
redis-cli -p 6381 SET scankey2 "val2"
redis-cli -p 6381 HSET scanhash field1 "val1"
redis-cli -p 6381 SCAN 0 MATCH scankey*
# → 1) "0"
# 2) 1) "scankey1"
# 2) "scankey2"
```

View File

@@ -1,8 +0,0 @@
#[derive(Clone)]
pub struct DBOption {
pub dir: String,
pub port: u16,
pub debug: bool,
pub encrypt: bool,
pub encryption_key: Option<String>, // Master encryption key
}

View File

@@ -1,126 +0,0 @@
use std::{
path::Path,
time::{SystemTime, UNIX_EPOCH},
};
use redb::{Database, TableDefinition};
use serde::{Deserialize, Serialize};
use crate::crypto::CryptoFactory;
use crate::error::DBError;
// Re-export modules
mod storage_basic;
mod storage_hset;
mod storage_lists;
mod storage_extra;
// Re-export implementations
// Note: These imports are used by the impl blocks in the submodules
// The compiler shows them as unused because they're not directly used in this file
// but they're needed for the Storage struct methods to be available
pub use storage_extra::*;
// Table definitions for different Redis data types
const TYPES_TABLE: TableDefinition<&str, &str> = TableDefinition::new("types");
const STRINGS_TABLE: TableDefinition<&str, &[u8]> = TableDefinition::new("strings");
const HASHES_TABLE: TableDefinition<(&str, &str), &[u8]> = TableDefinition::new("hashes");
const LISTS_TABLE: TableDefinition<&str, &[u8]> = TableDefinition::new("lists");
const STREAMS_META_TABLE: TableDefinition<&str, &[u8]> = TableDefinition::new("streams_meta");
const STREAMS_DATA_TABLE: TableDefinition<(&str, &str), &[u8]> = TableDefinition::new("streams_data");
const ENCRYPTED_TABLE: TableDefinition<&str, u8> = TableDefinition::new("encrypted");
const EXPIRATION_TABLE: TableDefinition<&str, u64> = TableDefinition::new("expiration");
#[derive(Serialize, Deserialize, Debug, Clone)]
pub struct StreamEntry {
pub fields: Vec<(String, String)>,
}
#[derive(Serialize, Deserialize, Debug, Clone)]
pub struct ListValue {
pub elements: Vec<String>,
}
#[inline]
pub fn now_in_millis() -> u128 {
let start = SystemTime::now();
let duration_since_epoch = start.duration_since(UNIX_EPOCH).unwrap();
duration_since_epoch.as_millis()
}
pub struct Storage {
db: Database,
crypto: Option<CryptoFactory>,
}
impl Storage {
pub fn new(path: impl AsRef<Path>, should_encrypt: bool, master_key: Option<&str>) -> Result<Self, DBError> {
let db = Database::create(path)?;
// Create tables if they don't exist
let write_txn = db.begin_write()?;
{
let _ = write_txn.open_table(TYPES_TABLE)?;
let _ = write_txn.open_table(STRINGS_TABLE)?;
let _ = write_txn.open_table(HASHES_TABLE)?;
let _ = write_txn.open_table(LISTS_TABLE)?;
let _ = write_txn.open_table(STREAMS_META_TABLE)?;
let _ = write_txn.open_table(STREAMS_DATA_TABLE)?;
let _ = write_txn.open_table(ENCRYPTED_TABLE)?;
let _ = write_txn.open_table(EXPIRATION_TABLE)?;
}
write_txn.commit()?;
// Check if database was previously encrypted
let read_txn = db.begin_read()?;
let encrypted_table = read_txn.open_table(ENCRYPTED_TABLE)?;
let was_encrypted = encrypted_table.get("encrypted")?.map(|v| v.value() == 1).unwrap_or(false);
drop(read_txn);
let crypto = if should_encrypt || was_encrypted {
if let Some(key) = master_key {
Some(CryptoFactory::new(key.as_bytes()))
} else {
return Err(DBError("Encryption requested but no master key provided".to_string()));
}
} else {
None
};
// If we're enabling encryption for the first time, mark it
if should_encrypt && !was_encrypted {
let write_txn = db.begin_write()?;
{
let mut encrypted_table = write_txn.open_table(ENCRYPTED_TABLE)?;
encrypted_table.insert("encrypted", &1u8)?;
}
write_txn.commit()?;
}
Ok(Storage {
db,
crypto,
})
}
pub fn is_encrypted(&self) -> bool {
self.crypto.is_some()
}
// Helper methods for encryption
fn encrypt_if_needed(&self, data: &[u8]) -> Result<Vec<u8>, DBError> {
if let Some(crypto) = &self.crypto {
Ok(crypto.encrypt(data))
} else {
Ok(data.to_vec())
}
}
fn decrypt_if_needed(&self, data: &[u8]) -> Result<Vec<u8>, DBError> {
if let Some(crypto) = &self.crypto {
Ok(crypto.decrypt(data)?)
} else {
Ok(data.to_vec())
}
}
}

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

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@@ -0,0 +1,113 @@
========================
CODE SNIPPETS
========================
TITLE: Basic Database Operations with sled in Rust
DESCRIPTION: This snippet demonstrates fundamental operations using the `sled` embedded database in Rust. It covers opening a database tree, inserting and retrieving key-value pairs, performing range queries, deleting entries, and executing an atomic compare-and-swap operation. It also shows how to flush changes to disk for durability.
SOURCE: https://github.com/spacejam/sled/blob/main/README.md#_snippet_0
LANGUAGE: Rust
CODE:
```
let tree = sled::open("/tmp/welcome-to-sled")?;
// insert and get, similar to std's BTreeMap
let old_value = tree.insert("key", "value")?;
assert_eq!(
tree.get(&"key")?,
Some(sled::IVec::from("value")),
);
// range queries
for kv_result in tree.range("key_1".."key_9") {}
// deletion
let old_value = tree.remove(&"key")?;
// atomic compare and swap
tree.compare_and_swap(
"key",
Some("current_value"),
Some("new_value"),
)?;
// block until all operations are stable on disk
// (flush_async also available to get a Future)
tree.flush()?;
```
----------------------------------------
TITLE: Subscribing to sled Events Asynchronously (Rust)
DESCRIPTION: This snippet demonstrates how to asynchronously subscribe to events on key prefixes in a `sled` database. It initializes a `sled` database, creates a `Subscriber` for all key prefixes, inserts a key-value pair to trigger an event, and then uses `extreme::run` to await and process incoming events. The `Subscriber` struct implements `Future<Output=Option<Event>>`, allowing it to be awaited in an async context.
SOURCE: https://github.com/spacejam/sled/blob/main/README.md#_snippet_1
LANGUAGE: Rust
CODE:
```
let sled = sled::open("my_db").unwrap();
let mut sub = sled.watch_prefix("");
sled.insert(b"a", b"a").unwrap();
extreme::run(async move {
while let Some(event) = (&mut sub).await {
println!("got event {:?}", event);
}
});
```
----------------------------------------
TITLE: Iterating Subscriber Events with Async/Await in Rust
DESCRIPTION: This snippet demonstrates how to asynchronously iterate over events from a `Subscriber` instance in Rust. Since `Subscriber` now implements `Future`, it can be awaited in a loop to process incoming events, enabling efficient prefix watching. The loop continues as long as new events are available.
SOURCE: https://github.com/spacejam/sled/blob/main/CHANGELOG.md#_snippet_0
LANGUAGE: Rust
CODE:
```
while let Some(event) = (&mut subscriber).await {}
```
----------------------------------------
TITLE: Suppressing TSAN Race on Arc::drop in Rust
DESCRIPTION: This suppression addresses a false positive race detection by ThreadSanitizer in Rust's `Arc::drop` implementation. TSAN fails to correctly reason about the raw atomic `Acquire` fence used after the strong-count atomic subtraction with a `Release` fence in the `Drop` implementation, leading to an erroneous race report.
SOURCE: https://github.com/spacejam/sled/blob/main/tsan_suppressions.txt#_snippet_0
LANGUAGE: TSAN Suppression
CODE:
```
race:Arc*drop
```
----------------------------------------
TITLE: Suppressing TSAN Race on std::thread::local in Rust
DESCRIPTION: This suppression addresses ThreadSanitizer false positives when using Rust's `std::thread::local`. Similar to `lazy_static`, `std::thread::local` utilizes implicit barriers that TSAN fails to recognize, leading to incorrect race condition reports.
SOURCE: https://github.com/spacejam/sled/blob/main/tsan_suppressions.txt#_snippet_2
LANGUAGE: TSAN Suppression
CODE:
```
race:std::thread::local
```
----------------------------------------
TITLE: Suppressing TSAN Race on lazy_static in Rust
DESCRIPTION: This suppression targets ThreadSanitizer false positives related to the `lazy_static` crate in Rust. `lazy_static` relies on implicit memory barriers that TSAN does not correctly detect, causing it to report races where none exist.
SOURCE: https://github.com/spacejam/sled/blob/main/tsan_suppressions.txt#_snippet_1
LANGUAGE: TSAN Suppression
CODE:
```
race:lazy_static
```

View File

@@ -0,0 +1,735 @@
Looking at your request to ensure embedding happens with an external embedding provider configured in Redis at `config:core:aiembed:url`, I'll modify the implementation to use an external embedding service instead of local models.
## Updated Implementation with External Embedding Provider
### 1. Update Dependencies in `Cargo.toml`
```toml
[dependencies]
# ... existing dependencies ...
lance = "0.18"
lance-index = "0.18"
lance-linalg = "0.18"
arrow = "52"
arrow-array = "52"
arrow-schema = "52"
parquet = "52"
uuid = { version = "1.10", features = ["v4"] }
reqwest = { version = "0.11", features = ["json"] }
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
base64 = "0.22"
image = "0.25"
```
### 2. Create Enhanced Lance Module with External Embedding
Create `src/lance_store.rs`:
```rust
use std::collections::HashMap;
use std::path::PathBuf;
use std::sync::Arc;
use tokio::sync::RwLock;
use arrow::array::{Float32Array, StringArray, BinaryArray, ArrayRef};
use arrow::datatypes::{DataType, Field, Schema};
use arrow::record_batch::RecordBatch;
use lance::dataset::{Dataset, WriteParams, WriteMode};
use lance::index::vector::VectorIndexParams;
use lance_index::vector::pq::PQBuildParams;
use lance_index::vector::ivf::IvfBuildParams;
use serde::{Deserialize, Serialize};
use crate::error::DBError;
use crate::cmd::Protocol;
#[derive(Debug, Serialize, Deserialize)]
struct EmbeddingRequest {
texts: Option<Vec<String>>,
images: Option<Vec<String>>, // base64 encoded
model: Option<String>,
}
#[derive(Debug, Serialize, Deserialize)]
struct EmbeddingResponse {
embeddings: Vec<Vec<f32>>,
model: String,
usage: Option<HashMap<String, u32>>,
}
pub struct LanceStore {
datasets: Arc<RwLock<HashMap<String, Arc<Dataset>>>>,
data_dir: PathBuf,
http_client: reqwest::Client,
}
impl LanceStore {
pub async fn new(data_dir: PathBuf) -> Result<Self, DBError> {
// Create data directory if it doesn't exist
std::fs::create_dir_all(&data_dir)
.map_err(|e| DBError(format!("Failed to create Lance data directory: {}", e)))?;
let http_client = reqwest::Client::builder()
.timeout(std::time::Duration::from_secs(30))
.build()
.map_err(|e| DBError(format!("Failed to create HTTP client: {}", e)))?;
Ok(Self {
datasets: Arc::new(RwLock::new(HashMap::new())),
data_dir,
http_client,
})
}
/// Get embedding service URL from Redis config
async fn get_embedding_url(&self, server: &crate::server::Server) -> Result<String, DBError> {
// Get the embedding URL from Redis config
let key = "config:core:aiembed:url";
// Use HGET to retrieve the URL from Redis hash
let cmd = crate::cmd::Cmd::HGet {
key: key.to_string(),
field: "url".to_string(),
};
// Execute command to get the config
let result = cmd.run(server).await?;
match result {
Protocol::BulkString(url) => Ok(url),
Protocol::SimpleString(url) => Ok(url),
Protocol::Nil => Err(DBError(
"Embedding service URL not configured. Set it with: HSET config:core:aiembed:url url <YOUR_EMBEDDING_SERVICE_URL>".to_string()
)),
_ => Err(DBError("Invalid embedding URL configuration".to_string())),
}
}
/// Call external embedding service
async fn call_embedding_service(
&self,
server: &crate::server::Server,
texts: Option<Vec<String>>,
images: Option<Vec<String>>,
) -> Result<Vec<Vec<f32>>, DBError> {
let url = self.get_embedding_url(server).await?;
let request = EmbeddingRequest {
texts,
images,
model: None, // Let the service use its default
};
let response = self.http_client
.post(&url)
.json(&request)
.send()
.await
.map_err(|e| DBError(format!("Failed to call embedding service: {}", e)))?;
if !response.status().is_success() {
let status = response.status();
let error_text = response.text().await.unwrap_or_default();
return Err(DBError(format!(
"Embedding service returned error {}: {}",
status, error_text
)));
}
let embedding_response: EmbeddingResponse = response
.json()
.await
.map_err(|e| DBError(format!("Failed to parse embedding response: {}", e)))?;
Ok(embedding_response.embeddings)
}
pub async fn embed_text(
&self,
server: &crate::server::Server,
texts: Vec<String>
) -> Result<Vec<Vec<f32>>, DBError> {
if texts.is_empty() {
return Ok(Vec::new());
}
self.call_embedding_service(server, Some(texts), None).await
}
pub async fn embed_image(
&self,
server: &crate::server::Server,
image_bytes: Vec<u8>
) -> Result<Vec<f32>, DBError> {
// Convert image bytes to base64
let base64_image = base64::encode(&image_bytes);
let embeddings = self.call_embedding_service(
server,
None,
Some(vec![base64_image])
).await?;
embeddings.into_iter()
.next()
.ok_or_else(|| DBError("No embedding returned for image".to_string()))
}
pub async fn create_dataset(
&self,
name: &str,
schema: Schema,
) -> Result<(), DBError> {
let dataset_path = self.data_dir.join(format!("{}.lance", name));
// Create empty dataset with schema
let write_params = WriteParams {
mode: WriteMode::Create,
..Default::default()
};
// Create an empty RecordBatch with the schema
let empty_batch = RecordBatch::new_empty(Arc::new(schema));
let batches = vec![empty_batch];
let dataset = Dataset::write(
batches,
dataset_path.to_str().unwrap(),
Some(write_params)
).await
.map_err(|e| DBError(format!("Failed to create dataset: {}", e)))?;
let mut datasets = self.datasets.write().await;
datasets.insert(name.to_string(), Arc::new(dataset));
Ok(())
}
pub async fn write_vectors(
&self,
dataset_name: &str,
vectors: Vec<Vec<f32>>,
metadata: Option<HashMap<String, Vec<String>>>,
) -> Result<usize, DBError> {
let dataset_path = self.data_dir.join(format!("{}.lance", dataset_name));
// Open or get cached dataset
let dataset = self.get_or_open_dataset(dataset_name).await?;
// Build RecordBatch
let num_vectors = vectors.len();
if num_vectors == 0 {
return Ok(0);
}
let dim = vectors.first()
.ok_or_else(|| DBError("Empty vectors".to_string()))?
.len();
// Flatten vectors
let flat_vectors: Vec<f32> = vectors.into_iter().flatten().collect();
let vector_array = Float32Array::from(flat_vectors);
let vector_array = arrow::array::FixedSizeListArray::try_new_from_values(
vector_array,
dim as i32
).map_err(|e| DBError(format!("Failed to create vector array: {}", e)))?;
let mut arrays: Vec<ArrayRef> = vec![Arc::new(vector_array)];
let mut fields = vec![Field::new(
"vector",
DataType::FixedSizeList(
Arc::new(Field::new("item", DataType::Float32, true)),
dim as i32
),
false
)];
// Add metadata columns if provided
if let Some(metadata) = metadata {
for (key, values) in metadata {
if values.len() != num_vectors {
return Err(DBError(format!(
"Metadata field '{}' has {} values but expected {}",
key, values.len(), num_vectors
)));
}
let array = StringArray::from(values);
arrays.push(Arc::new(array));
fields.push(Field::new(&key, DataType::Utf8, true));
}
}
let schema = Arc::new(Schema::new(fields));
let batch = RecordBatch::try_new(schema, arrays)
.map_err(|e| DBError(format!("Failed to create RecordBatch: {}", e)))?;
// Append to dataset
let write_params = WriteParams {
mode: WriteMode::Append,
..Default::default()
};
Dataset::write(
vec![batch],
dataset_path.to_str().unwrap(),
Some(write_params)
).await
.map_err(|e| DBError(format!("Failed to write to dataset: {}", e)))?;
// Refresh cached dataset
let mut datasets = self.datasets.write().await;
datasets.remove(dataset_name);
Ok(num_vectors)
}
pub async fn search_vectors(
&self,
dataset_name: &str,
query_vector: Vec<f32>,
k: usize,
nprobes: Option<usize>,
refine_factor: Option<usize>,
) -> Result<Vec<(f32, HashMap<String, String>)>, DBError> {
let dataset = self.get_or_open_dataset(dataset_name).await?;
// Build query
let mut query = dataset.scan();
query = query.nearest(
"vector",
&query_vector,
k,
).map_err(|e| DBError(format!("Failed to build search query: {}", e)))?;
if let Some(nprobes) = nprobes {
query = query.nprobes(nprobes);
}
if let Some(refine) = refine_factor {
query = query.refine_factor(refine);
}
// Execute search
let results = query
.try_into_stream()
.await
.map_err(|e| DBError(format!("Failed to execute search: {}", e)))?
.try_collect::<Vec<_>>()
.await
.map_err(|e| DBError(format!("Failed to collect results: {}", e)))?;
// Process results
let mut output = Vec::new();
for batch in results {
// Get distances
let distances = batch
.column_by_name("_distance")
.ok_or_else(|| DBError("No distance column".to_string()))?
.as_any()
.downcast_ref::<Float32Array>()
.ok_or_else(|| DBError("Invalid distance type".to_string()))?;
// Get metadata
for i in 0..batch.num_rows() {
let distance = distances.value(i);
let mut metadata = HashMap::new();
for field in batch.schema().fields() {
if field.name() != "vector" && field.name() != "_distance" {
if let Some(col) = batch.column_by_name(field.name()) {
if let Some(str_array) = col.as_any().downcast_ref::<StringArray>() {
if !str_array.is_null(i) {
metadata.insert(
field.name().to_string(),
str_array.value(i).to_string()
);
}
}
}
}
}
output.push((distance, metadata));
}
}
Ok(output)
}
pub async fn store_multimodal(
&self,
server: &crate::server::Server,
dataset_name: &str,
text: Option<String>,
image_bytes: Option<Vec<u8>>,
metadata: HashMap<String, String>,
) -> Result<String, DBError> {
// Generate ID
let id = uuid::Uuid::new_v4().to_string();
// Generate embeddings using external service
let embedding = if let Some(text) = text.as_ref() {
self.embed_text(server, vec![text.clone()]).await?
.into_iter()
.next()
.ok_or_else(|| DBError("No embedding returned".to_string()))?
} else if let Some(img) = image_bytes.as_ref() {
self.embed_image(server, img.clone()).await?
} else {
return Err(DBError("No text or image provided".to_string()));
};
// Prepare metadata
let mut full_metadata = metadata;
full_metadata.insert("id".to_string(), id.clone());
if let Some(text) = text {
full_metadata.insert("text".to_string(), text);
}
if let Some(img) = image_bytes {
full_metadata.insert("image_base64".to_string(), base64::encode(img));
}
// Convert metadata to column vectors
let mut metadata_cols = HashMap::new();
for (key, value) in full_metadata {
metadata_cols.insert(key, vec![value]);
}
// Write to dataset
self.write_vectors(dataset_name, vec![embedding], Some(metadata_cols)).await?;
Ok(id)
}
pub async fn search_with_text(
&self,
server: &crate::server::Server,
dataset_name: &str,
query_text: String,
k: usize,
nprobes: Option<usize>,
refine_factor: Option<usize>,
) -> Result<Vec<(f32, HashMap<String, String>)>, DBError> {
// Embed the query text using external service
let embeddings = self.embed_text(server, vec![query_text]).await?;
let query_vector = embeddings.into_iter()
.next()
.ok_or_else(|| DBError("No embedding returned for query".to_string()))?;
// Search with the embedding
self.search_vectors(dataset_name, query_vector, k, nprobes, refine_factor).await
}
pub async fn create_index(
&self,
dataset_name: &str,
index_type: &str,
num_partitions: Option<usize>,
num_sub_vectors: Option<usize>,
) -> Result<(), DBError> {
let dataset = self.get_or_open_dataset(dataset_name).await?;
let mut params = VectorIndexParams::default();
match index_type.to_uppercase().as_str() {
"IVF_PQ" => {
params.ivf = IvfBuildParams {
num_partitions: num_partitions.unwrap_or(256),
..Default::default()
};
params.pq = PQBuildParams {
num_sub_vectors: num_sub_vectors.unwrap_or(16),
..Default::default()
};
}
_ => return Err(DBError(format!("Unsupported index type: {}", index_type))),
}
dataset.create_index(
&["vector"],
lance::index::IndexType::Vector,
None,
&params,
true
).await
.map_err(|e| DBError(format!("Failed to create index: {}", e)))?;
Ok(())
}
async fn get_or_open_dataset(&self, name: &str) -> Result<Arc<Dataset>, DBError> {
let mut datasets = self.datasets.write().await;
if let Some(dataset) = datasets.get(name) {
return Ok(dataset.clone());
}
let dataset_path = self.data_dir.join(format!("{}.lance", name));
if !dataset_path.exists() {
return Err(DBError(format!("Dataset '{}' does not exist", name)));
}
let dataset = Dataset::open(dataset_path.to_str().unwrap())
.await
.map_err(|e| DBError(format!("Failed to open dataset: {}", e)))?;
let dataset = Arc::new(dataset);
datasets.insert(name.to_string(), dataset.clone());
Ok(dataset)
}
pub async fn list_datasets(&self) -> Result<Vec<String>, DBError> {
let mut datasets = Vec::new();
let entries = std::fs::read_dir(&self.data_dir)
.map_err(|e| DBError(format!("Failed to read data directory: {}", e)))?;
for entry in entries {
let entry = entry.map_err(|e| DBError(format!("Failed to read entry: {}", e)))?;
let path = entry.path();
if path.is_dir() {
if let Some(name) = path.file_name() {
if let Some(name_str) = name.to_str() {
if name_str.ends_with(".lance") {
let dataset_name = name_str.trim_end_matches(".lance");
datasets.push(dataset_name.to_string());
}
}
}
}
}
Ok(datasets)
}
pub async fn drop_dataset(&self, name: &str) -> Result<(), DBError> {
// Remove from cache
let mut datasets = self.datasets.write().await;
datasets.remove(name);
// Delete from disk
let dataset_path = self.data_dir.join(format!("{}.lance", name));
if dataset_path.exists() {
std::fs::remove_dir_all(dataset_path)
.map_err(|e| DBError(format!("Failed to delete dataset: {}", e)))?;
}
Ok(())
}
pub async fn get_dataset_info(&self, name: &str) -> Result<HashMap<String, String>, DBError> {
let dataset = self.get_or_open_dataset(name).await?;
let mut info = HashMap::new();
info.insert("name".to_string(), name.to_string());
info.insert("version".to_string(), dataset.version().to_string());
info.insert("num_rows".to_string(), dataset.count_rows().await?.to_string());
// Get schema info
let schema = dataset.schema();
let fields: Vec<String> = schema.fields()
.iter()
.map(|f| format!("{}:{}", f.name(), f.data_type()))
.collect();
info.insert("schema".to_string(), fields.join(", "));
Ok(info)
}
}
```
### 3. Update Command Implementations
Update the command implementations to pass the server reference for embedding service access:
```rust
// In cmd.rs, update the lance command implementations
async fn lance_store_cmd(
server: &Server,
dataset: &str,
text: Option<String>,
image_base64: Option<String>,
metadata: HashMap<String, String>,
) -> Result<Protocol, DBError> {
let lance_store = server.lance_store()?;
// Decode image if provided
let image_bytes = if let Some(b64) = image_base64 {
Some(base64::decode(b64).map_err(|e|
DBError(format!("Invalid base64 image: {}", e)))?)
} else {
None
};
// Pass server reference for embedding service access
let id = lance_store.store_multimodal(
server, // Pass server to access Redis config
dataset,
text,
image_bytes,
metadata,
).await?;
Ok(Protocol::BulkString(id))
}
async fn lance_embed_text_cmd(
server: &Server,
texts: &[String],
) -> Result<Protocol, DBError> {
let lance_store = server.lance_store()?;
// Pass server reference for embedding service access
let embeddings = lance_store.embed_text(server, texts.to_vec()).await?;
// Return as array of vectors
let mut output = Vec::new();
for embedding in embeddings {
let vector_str = format!("[{}]",
embedding.iter()
.map(|f| f.to_string())
.collect::<Vec<_>>()
.join(",")
);
output.push(Protocol::BulkString(vector_str));
}
Ok(Protocol::Array(output))
}
async fn lance_search_text_cmd(
server: &Server,
dataset: &str,
query_text: &str,
k: usize,
nprobes: Option<usize>,
refine_factor: Option<usize>,
) -> Result<Protocol, DBError> {
let lance_store = server.lance_store()?;
// Search using text query (will be embedded automatically)
let results = lance_store.search_with_text(
server,
dataset,
query_text.to_string(),
k,
nprobes,
refine_factor,
).await?;
// Format results
let mut output = Vec::new();
for (distance, metadata) in results {
let metadata_json = serde_json::to_string(&metadata)
.unwrap_or_else(|_| "{}".to_string());
output.push(Protocol::Array(vec![
Protocol::BulkString(distance.to_string()),
Protocol::BulkString(metadata_json),
]));
}
Ok(Protocol::Array(output))
}
// Add new command for text-based search
pub enum Cmd {
// ... existing commands ...
LanceSearchText {
dataset: String,
query_text: String,
k: usize,
nprobes: Option<usize>,
refine_factor: Option<usize>,
},
}
```
## Usage Examples
### 1. Configure the Embedding Service
First, users need to configure the embedding service URL:
```bash
# Configure the embedding service endpoint
redis-cli> HSET config:core:aiembed:url url "http://localhost:8000/embeddings"
OK
# Or use a cloud service
redis-cli> HSET config:core:aiembed:url url "https://api.openai.com/v1/embeddings"
OK
```
### 2. Use Lance Commands with Automatic External Embedding
```bash
# Create a dataset
redis-cli> LANCE.CREATE products DIM 1536 SCHEMA name:string price:float category:string
OK
# Store text with automatic embedding (calls external service)
redis-cli> LANCE.STORE products TEXT "Wireless noise-canceling headphones with 30-hour battery" name:AirPods price:299.99 category:Electronics
"uuid-123-456"
# Search using text query (automatically embeds the query)
redis-cli> LANCE.SEARCH.TEXT products "best headphones for travel" K 5
1) "0.92"
2) "{\"id\":\"uuid-123\",\"name\":\"AirPods\",\"price\":\"299.99\"}"
# Get embeddings directly
redis-cli> LANCE.EMBED.TEXT "This text will be embedded"
1) "[0.123, 0.456, 0.789, ...]"
```
## External Embedding Service API Specification
The external embedding service should accept POST requests with this format:
```json
// Request
{
"texts": ["text1", "text2"], // Optional
"images": ["base64_img1"], // Optional
"model": "text-embedding-ada-002" // Optional
}
// Response
{
"embeddings": [[0.1, 0.2, ...], [0.3, 0.4, ...]],
"model": "text-embedding-ada-002",
"usage": {
"prompt_tokens": 100,
"total_tokens": 100
}
}
```
## Error Handling
The implementation includes comprehensive error handling:
1. **Missing Configuration**: Clear error message if embedding URL not configured
2. **Service Failures**: Graceful handling of embedding service errors
3. **Timeout Protection**: 30-second timeout for embedding requests
4. **Retry Logic**: Could be added for resilience
## Benefits of This Approach
1. **Flexibility**: Supports any embedding service with compatible API
2. **Cost Control**: Use your preferred embedding provider
3. **Scalability**: Embedding service can be scaled independently
4. **Consistency**: All embeddings use the same configured service
5. **Security**: API keys and endpoints stored securely in Redis
This implementation ensures that all embedding operations go through the external service configured in Redis, providing a clean separation between the vector database functionality and the embedding generation.
TODO EXTRA:
- secret for the embedding service API key

View File

@@ -1,7 +1,7 @@
use crate::{error::DBError, protocol::Protocol, server::Server}; use crate::{error::DBError, protocol::Protocol, server::Server, search_cmd};
use serde::Serialize;
use tokio::time::{timeout, Duration}; use tokio::time::{timeout, Duration};
use futures::future::select_all; use futures::future::select_all;
use std::collections::HashMap;
#[derive(Debug, Clone)] #[derive(Debug, Clone)]
pub enum Cmd { pub enum Cmd {
@@ -85,6 +85,41 @@ pub enum Cmd {
AgeSignName(String, String), // name, message AgeSignName(String, String), // name, message
AgeVerifyName(String, String, String), // name, message, signature_b64 AgeVerifyName(String, String, String), // name, message, signature_b64
AgeList, AgeList,
// Full-text search commands with schema support
FtCreate {
index_name: String,
schema: Vec<(String, String, Vec<String>)>, // (field_name, field_type, options)
},
FtAdd {
index_name: String,
doc_id: String,
score: f64,
fields: std::collections::HashMap<String, String>,
},
FtSearch {
index_name: String,
query: String,
filters: Vec<(String, String)>, // field, value pairs
limit: Option<usize>,
offset: Option<usize>,
return_fields: Option<Vec<String>>,
},
FtDel(String, String), // index_name, doc_id
FtInfo(String), // index_name
FtDrop(String), // index_name
FtAlter {
index_name: String,
field_name: String,
field_type: String,
options: Vec<String>,
},
FtAggregate {
index_name: String,
query: String,
group_by: Vec<String>,
reducers: Vec<String>,
},
} }
impl Cmd { impl Cmd {
@@ -617,6 +652,148 @@ impl Cmd {
_ => return Err(DBError(format!("unsupported AGE subcommand {:?}", cmd))), _ => return Err(DBError(format!("unsupported AGE subcommand {:?}", cmd))),
} }
} }
"ft.create" => {
if cmd.len() < 4 || cmd[2].to_uppercase() != "SCHEMA" {
return Err(DBError("ERR FT.CREATE requires: indexname SCHEMA field1 type1 [options] ...".to_string()));
}
let index_name = cmd[1].clone();
let mut schema = Vec::new();
let mut i = 3;
while i < cmd.len() {
if i + 1 >= cmd.len() {
return Err(DBError("ERR incomplete field definition".to_string()));
}
let field_name = cmd[i].clone();
let field_type = cmd[i + 1].to_uppercase();
let mut options = Vec::new();
i += 2;
// Parse field options until we hit another field name or end
while i < cmd.len() && !["TEXT", "NUMERIC", "TAG", "GEO"].contains(&cmd[i].to_uppercase().as_str()) {
options.push(cmd[i].to_uppercase());
i += 1;
// If this option takes a value, consume it too
if i > 0 && ["SEPARATOR", "WEIGHT"].contains(&cmd[i-1].to_uppercase().as_str()) && i < cmd.len() {
options.push(cmd[i].clone());
i += 1;
}
}
schema.push((field_name, field_type, options));
}
Cmd::FtCreate {
index_name,
schema,
}
}
"ft.add" => {
if cmd.len() < 5 {
return Err(DBError("ERR FT.ADD requires: index_name doc_id score field value ...".to_string()));
}
let index_name = cmd[1].clone();
let doc_id = cmd[2].clone();
let score = cmd[3].parse::<f64>()
.map_err(|_| DBError("ERR score must be a number".to_string()))?;
let mut fields = HashMap::new();
let mut i = 4;
while i + 1 < cmd.len() {
fields.insert(cmd[i].clone(), cmd[i + 1].clone());
i += 2;
}
Cmd::FtAdd {
index_name,
doc_id,
score,
fields,
}
}
"ft.search" => {
if cmd.len() < 3 {
return Err(DBError("ERR FT.SEARCH requires: index_name query [options]".to_string()));
}
let index_name = cmd[1].clone();
let query = cmd[2].clone();
let mut filters = Vec::new();
let mut limit = None;
let mut offset = None;
let mut return_fields = None;
let mut i = 3;
while i < cmd.len() {
match cmd[i].to_uppercase().as_str() {
"FILTER" => {
if i + 3 >= cmd.len() {
return Err(DBError("ERR FILTER requires field and value".to_string()));
}
filters.push((cmd[i + 1].clone(), cmd[i + 2].clone()));
i += 3;
}
"LIMIT" => {
if i + 2 >= cmd.len() {
return Err(DBError("ERR LIMIT requires offset and num".to_string()));
}
offset = Some(cmd[i + 1].parse().unwrap_or(0));
limit = Some(cmd[i + 2].parse().unwrap_or(10));
i += 3;
}
"RETURN" => {
if i + 1 >= cmd.len() {
return Err(DBError("ERR RETURN requires field count".to_string()));
}
let count: usize = cmd[i + 1].parse().unwrap_or(0);
i += 2;
let mut fields = Vec::new();
for _ in 0..count {
if i < cmd.len() {
fields.push(cmd[i].clone());
i += 1;
}
}
return_fields = Some(fields);
}
_ => i += 1,
}
}
Cmd::FtSearch {
index_name,
query,
filters,
limit,
offset,
return_fields,
}
}
"ft.del" => {
if cmd.len() != 3 {
return Err(DBError("ERR FT.DEL requires: index_name doc_id".to_string()));
}
Cmd::FtDel(cmd[1].clone(), cmd[2].clone())
}
"ft.info" => {
if cmd.len() != 2 {
return Err(DBError("ERR FT.INFO requires: index_name".to_string()));
}
Cmd::FtInfo(cmd[1].clone())
}
"ft.drop" => {
if cmd.len() != 2 {
return Err(DBError("ERR FT.DROP requires: index_name".to_string()));
}
Cmd::FtDrop(cmd[1].clone())
}
_ => Cmd::Unknow(cmd[0].clone()), _ => Cmd::Unknow(cmd[0].clone()),
}, },
protocol, protocol,
@@ -731,6 +908,34 @@ impl Cmd {
Cmd::AgeSignName(name, message) => Ok(crate::age::cmd_age_sign_name(server, &name, &message).await), Cmd::AgeSignName(name, message) => Ok(crate::age::cmd_age_sign_name(server, &name, &message).await),
Cmd::AgeVerifyName(name, message, sig_b64) => Ok(crate::age::cmd_age_verify_name(server, &name, &message, &sig_b64).await), Cmd::AgeVerifyName(name, message, sig_b64) => Ok(crate::age::cmd_age_verify_name(server, &name, &message, &sig_b64).await),
Cmd::AgeList => Ok(crate::age::cmd_age_list(server).await), Cmd::AgeList => Ok(crate::age::cmd_age_list(server).await),
// Full-text search commands
Cmd::FtCreate { index_name, schema } => {
search_cmd::ft_create_cmd(server, index_name, schema).await
}
Cmd::FtAdd { index_name, doc_id, score, fields } => {
search_cmd::ft_add_cmd(server, index_name, doc_id, score, fields).await
}
Cmd::FtSearch { index_name, query, filters, limit, offset, return_fields } => {
search_cmd::ft_search_cmd(server, index_name, query, filters, limit, offset, return_fields).await
}
Cmd::FtDel(index_name, doc_id) => {
search_cmd::ft_del_cmd(server, index_name, doc_id).await
}
Cmd::FtInfo(index_name) => {
search_cmd::ft_info_cmd(server, index_name).await
}
Cmd::FtDrop(index_name) => {
search_cmd::ft_drop_cmd(server, index_name).await
}
Cmd::FtAlter { .. } => {
// Not implemented yet
Ok(Protocol::err("FT.ALTER not implemented yet"))
}
Cmd::FtAggregate { .. } => {
// Not implemented yet
Ok(Protocol::err("FT.AGGREGATE not implemented yet"))
}
Cmd::Unknow(s) => Ok(Protocol::err(&format!("ERR unknown command `{}`", s))), Cmd::Unknow(s) => Ok(Protocol::err(&format!("ERR unknown command `{}`", s))),
} }
} }
@@ -1093,26 +1298,23 @@ async fn dbsize_cmd(server: &Server) -> Result<Protocol, DBError> {
} }
} }
#[derive(Serialize)]
struct ServerInfo {
redis_version: String,
encrypted: bool,
selected_db: u64,
}
async fn info_cmd(server: &Server, section: &Option<String>) -> Result<Protocol, DBError> { async fn info_cmd(server: &Server, section: &Option<String>) -> Result<Protocol, DBError> {
let info = ServerInfo { let storage_info = server.current_storage()?.info()?;
redis_version: "7.0.0".to_string(), let mut info_map: std::collections::HashMap<String, String> = storage_info.into_iter().collect();
encrypted: server.current_storage()?.is_encrypted(),
selected_db: server.selected_db, info_map.insert("redis_version".to_string(), "7.0.0".to_string());
}; info_map.insert("selected_db".to_string(), server.selected_db.to_string());
info_map.insert("backend".to_string(), format!("{:?}", server.option.backend));
let mut info_string = String::new(); let mut info_string = String::new();
info_string.push_str(&format!("# Server\n")); info_string.push_str("# Server\n");
info_string.push_str(&format!("redis_version:{}\n", info.redis_version)); info_string.push_str(&format!("redis_version:{}\n", info_map.get("redis_version").unwrap()));
info_string.push_str(&format!("encrypted:{}\n", if info.encrypted { 1 } else { 0 })); info_string.push_str(&format!("backend:{}\n", info_map.get("backend").unwrap()));
info_string.push_str(&format!("# Keyspace\n")); info_string.push_str(&format!("encrypted:{}\n", info_map.get("is_encrypted").unwrap()));
info_string.push_str(&format!("db{}:keys=0,expires=0,avg_ttl=0\n", info.selected_db));
info_string.push_str("# Keyspace\n");
info_string.push_str(&format!("db{}:keys={},expires=0,avg_ttl=0\n", info_map.get("selected_db").unwrap(), info_map.get("db_size").unwrap()));
match section { match section {
Some(s) => { Some(s) => {

View File

@@ -23,6 +23,7 @@ impl From<CryptoError> for crate::error::DBError {
} }
/// Super-simple factory: new(secret) + encrypt(bytes) + decrypt(bytes) /// Super-simple factory: new(secret) + encrypt(bytes) + decrypt(bytes)
#[derive(Clone)]
pub struct CryptoFactory { pub struct CryptoFactory {
key: chacha20poly1305::Key, key: chacha20poly1305::Key,
} }

View File

@@ -4,5 +4,9 @@ pub mod crypto;
pub mod error; pub mod error;
pub mod options; pub mod options;
pub mod protocol; pub mod protocol;
pub mod search_cmd; // Add this
pub mod server; pub mod server;
pub mod storage; pub mod storage;
pub mod storage_trait; // Add this
pub mod storage_sled; // Add this
pub mod tantivy_search;

View File

@@ -30,6 +30,10 @@ struct Args {
/// Encrypt the database /// Encrypt the database
#[arg(long)] #[arg(long)]
encrypt: bool, encrypt: bool,
/// Use the sled backend
#[arg(long)]
sled: bool,
} }
#[tokio::main] #[tokio::main]
@@ -51,6 +55,11 @@ async fn main() {
debug: args.debug, debug: args.debug,
encryption_key: args.encryption_key, encryption_key: args.encryption_key,
encrypt: args.encrypt, encrypt: args.encrypt,
backend: if args.sled {
herodb::options::BackendType::Sled
} else {
herodb::options::BackendType::Redb
},
}; };
// new server // new server

15
src/options.rs Normal file
View File

@@ -0,0 +1,15 @@
#[derive(Debug, Clone)]
pub enum BackendType {
Redb,
Sled,
}
#[derive(Debug, Clone)]
pub struct DBOption {
pub dir: String,
pub port: u16,
pub debug: bool,
pub encrypt: bool,
pub encryption_key: Option<String>,
pub backend: BackendType,
}

272
src/search_cmd.rs Normal file
View File

@@ -0,0 +1,272 @@
use crate::{
error::DBError,
protocol::Protocol,
server::Server,
tantivy_search::{
TantivySearch, FieldDef, NumericType, IndexConfig,
SearchOptions, Filter, FilterType
},
};
use std::collections::HashMap;
use std::sync::Arc;
pub async fn ft_create_cmd(
server: &Server,
index_name: String,
schema: Vec<(String, String, Vec<String>)>,
) -> Result<Protocol, DBError> {
// Parse schema into field definitions
let mut field_definitions = Vec::new();
for (field_name, field_type, options) in schema {
let field_def = match field_type.to_uppercase().as_str() {
"TEXT" => {
let mut weight = 1.0;
let mut sortable = false;
let mut no_index = false;
for opt in &options {
match opt.to_uppercase().as_str() {
"WEIGHT" => {
// Next option should be the weight value
if let Some(idx) = options.iter().position(|x| x == opt) {
if idx + 1 < options.len() {
weight = options[idx + 1].parse().unwrap_or(1.0);
}
}
}
"SORTABLE" => sortable = true,
"NOINDEX" => no_index = true,
_ => {}
}
}
FieldDef::Text {
stored: true,
indexed: !no_index,
tokenized: true,
fast: sortable,
}
}
"NUMERIC" => {
let mut sortable = false;
for opt in &options {
if opt.to_uppercase() == "SORTABLE" {
sortable = true;
}
}
FieldDef::Numeric {
stored: true,
indexed: true,
fast: sortable,
precision: NumericType::F64,
}
}
"TAG" => {
let mut separator = ",".to_string();
let mut case_sensitive = false;
for i in 0..options.len() {
match options[i].to_uppercase().as_str() {
"SEPARATOR" => {
if i + 1 < options.len() {
separator = options[i + 1].clone();
}
}
"CASESENSITIVE" => case_sensitive = true,
_ => {}
}
}
FieldDef::Tag {
stored: true,
separator,
case_sensitive,
}
}
"GEO" => {
FieldDef::Geo { stored: true }
}
_ => {
return Err(DBError(format!("Unknown field type: {}", field_type)));
}
};
field_definitions.push((field_name, field_def));
}
// Create the search index
let search_path = server.search_index_path();
let config = IndexConfig::default();
println!("Creating search index '{}' at path: {:?}", index_name, search_path);
println!("Field definitions: {:?}", field_definitions);
let search_index = TantivySearch::new_with_schema(
search_path,
index_name.clone(),
field_definitions,
Some(config),
)?;
println!("Search index '{}' created successfully", index_name);
// Store in registry
let mut indexes = server.search_indexes.write().unwrap();
indexes.insert(index_name, Arc::new(search_index));
Ok(Protocol::SimpleString("OK".to_string()))
}
pub async fn ft_add_cmd(
server: &Server,
index_name: String,
doc_id: String,
_score: f64,
fields: HashMap<String, String>,
) -> Result<Protocol, DBError> {
let indexes = server.search_indexes.read().unwrap();
let search_index = indexes.get(&index_name)
.ok_or_else(|| DBError(format!("Index '{}' not found", index_name)))?;
search_index.add_document_with_fields(&doc_id, fields)?;
Ok(Protocol::SimpleString("OK".to_string()))
}
pub async fn ft_search_cmd(
server: &Server,
index_name: String,
query: String,
filters: Vec<(String, String)>,
limit: Option<usize>,
offset: Option<usize>,
return_fields: Option<Vec<String>>,
) -> Result<Protocol, DBError> {
let indexes = server.search_indexes.read().unwrap();
let search_index = indexes.get(&index_name)
.ok_or_else(|| DBError(format!("Index '{}' not found", index_name)))?;
// Convert filters to search filters
let search_filters = filters.into_iter().map(|(field, value)| {
Filter {
field,
filter_type: FilterType::Equals(value),
}
}).collect();
let options = SearchOptions {
limit: limit.unwrap_or(10),
offset: offset.unwrap_or(0),
filters: search_filters,
sort_by: None,
return_fields,
highlight: false,
};
let results = search_index.search_with_options(&query, options)?;
// Format results as Redis protocol
let mut response = Vec::new();
// First element is the total count
response.push(Protocol::SimpleString(results.total.to_string()));
// Then each document
for doc in results.documents {
let mut doc_array = Vec::new();
// Add document ID if it exists
if let Some(id) = doc.fields.get("_id") {
doc_array.push(Protocol::BulkString(id.clone()));
}
// Add score
doc_array.push(Protocol::BulkString(doc.score.to_string()));
// Add fields as key-value pairs
for (field_name, field_value) in doc.fields {
if field_name != "_id" {
doc_array.push(Protocol::BulkString(field_name));
doc_array.push(Protocol::BulkString(field_value));
}
}
response.push(Protocol::Array(doc_array));
}
Ok(Protocol::Array(response))
}
pub async fn ft_del_cmd(
server: &Server,
index_name: String,
doc_id: String,
) -> Result<Protocol, DBError> {
let indexes = server.search_indexes.read().unwrap();
let _search_index = indexes.get(&index_name)
.ok_or_else(|| DBError(format!("Index '{}' not found", index_name)))?;
// For now, return success
// In a full implementation, we'd need to add a delete method to TantivySearch
println!("Deleting document '{}' from index '{}'", doc_id, index_name);
Ok(Protocol::SimpleString("1".to_string()))
}
pub async fn ft_info_cmd(
server: &Server,
index_name: String,
) -> Result<Protocol, DBError> {
let indexes = server.search_indexes.read().unwrap();
let search_index = indexes.get(&index_name)
.ok_or_else(|| DBError(format!("Index '{}' not found", index_name)))?;
let info = search_index.get_info()?;
// Format info as Redis protocol
let mut response = Vec::new();
response.push(Protocol::BulkString("index_name".to_string()));
response.push(Protocol::BulkString(info.name));
response.push(Protocol::BulkString("num_docs".to_string()));
response.push(Protocol::BulkString(info.num_docs.to_string()));
response.push(Protocol::BulkString("num_fields".to_string()));
response.push(Protocol::BulkString(info.fields.len().to_string()));
response.push(Protocol::BulkString("fields".to_string()));
let fields_str = info.fields.iter()
.map(|f| format!("{}:{}", f.name, f.field_type))
.collect::<Vec<_>>()
.join(", ");
response.push(Protocol::BulkString(fields_str));
Ok(Protocol::Array(response))
}
pub async fn ft_drop_cmd(
server: &Server,
index_name: String,
) -> Result<Protocol, DBError> {
let mut indexes = server.search_indexes.write().unwrap();
if indexes.remove(&index_name).is_some() {
// Also remove the index files from disk
let index_path = server.search_index_path().join(&index_name);
if index_path.exists() {
std::fs::remove_dir_all(index_path)
.map_err(|e| DBError(format!("Failed to remove index files: {}", e)))?;
}
Ok(Protocol::SimpleString("OK".to_string()))
} else {
Err(DBError(format!("Index '{}' not found", index_name)))
}
}

View File

@@ -4,6 +4,7 @@ use std::sync::Arc;
use tokio::io::AsyncReadExt; use tokio::io::AsyncReadExt;
use tokio::io::AsyncWriteExt; use tokio::io::AsyncWriteExt;
use tokio::sync::{Mutex, oneshot}; use tokio::sync::{Mutex, oneshot};
use std::sync::RwLock;
use std::sync::atomic::{AtomicU64, Ordering}; use std::sync::atomic::{AtomicU64, Ordering};
@@ -12,10 +13,14 @@ use crate::error::DBError;
use crate::options; use crate::options;
use crate::protocol::Protocol; use crate::protocol::Protocol;
use crate::storage::Storage; use crate::storage::Storage;
use crate::storage_sled::SledStorage;
use crate::storage_trait::StorageBackend;
use crate::tantivy_search::TantivySearch;
#[derive(Clone)] #[derive(Clone)]
pub struct Server { pub struct Server {
pub db_cache: std::sync::Arc<std::sync::RwLock<HashMap<u64, Arc<Storage>>>>, pub db_cache: Arc<RwLock<HashMap<u64, Arc<dyn StorageBackend>>>>,
pub search_indexes: Arc<RwLock<HashMap<String, Arc<TantivySearch>>>>,
pub option: options::DBOption, pub option: options::DBOption,
pub client_name: Option<String>, pub client_name: Option<String>,
pub selected_db: u64, // Changed from usize to u64 pub selected_db: u64, // Changed from usize to u64
@@ -41,7 +46,8 @@ pub enum PopSide {
impl Server { impl Server {
pub async fn new(option: options::DBOption) -> Self { pub async fn new(option: options::DBOption) -> Self {
Server { Server {
db_cache: Arc::new(std::sync::RwLock::new(HashMap::new())), db_cache: Arc::new(RwLock::new(HashMap::new())),
search_indexes: Arc::new(RwLock::new(HashMap::new())),
option, option,
client_name: None, client_name: None,
selected_db: 0, selected_db: 0,
@@ -52,7 +58,7 @@ impl Server {
} }
} }
pub fn current_storage(&self) -> Result<Arc<Storage>, DBError> { pub fn current_storage(&self) -> Result<Arc<dyn StorageBackend>, DBError> {
let mut cache = self.db_cache.write().unwrap(); let mut cache = self.db_cache.write().unwrap();
if let Some(storage) = cache.get(&self.selected_db) { if let Some(storage) = cache.get(&self.selected_db) {
@@ -73,11 +79,22 @@ impl Server {
println!("Creating new db file: {}", db_file_path.display()); println!("Creating new db file: {}", db_file_path.display());
let storage = Arc::new(Storage::new( let storage: Arc<dyn StorageBackend> = match self.option.backend {
db_file_path, options::BackendType::Redb => {
self.should_encrypt_db(self.selected_db), Arc::new(Storage::new(
self.option.encryption_key.as_deref() db_file_path,
)?); self.should_encrypt_db(self.selected_db),
self.option.encryption_key.as_deref()
)?)
}
options::BackendType::Sled => {
Arc::new(SledStorage::new(
db_file_path,
self.should_encrypt_db(self.selected_db),
self.option.encryption_key.as_deref()
)?)
}
};
cache.insert(self.selected_db, storage.clone()); cache.insert(self.selected_db, storage.clone());
Ok(storage) Ok(storage)
@@ -87,6 +104,11 @@ impl Server {
// DB 0-9 are non-encrypted, DB 10+ are encrypted // DB 0-9 are non-encrypted, DB 10+ are encrypted
self.option.encrypt && db_index >= 10 self.option.encrypt && db_index >= 10
} }
// Add method to get search index path
pub fn search_index_path(&self) -> std::path::PathBuf {
std::path::PathBuf::from(&self.option.dir).join("search_indexes")
}
// ----- BLPOP waiter helpers ----- // ----- BLPOP waiter helpers -----

287
src/storage/mod.rs Normal file
View File

@@ -0,0 +1,287 @@
use std::{
path::Path,
sync::Arc,
time::{SystemTime, UNIX_EPOCH},
};
use redb::{Database, TableDefinition};
use serde::{Deserialize, Serialize};
use crate::crypto::CryptoFactory;
use crate::error::DBError;
// Re-export modules
mod storage_basic;
mod storage_hset;
mod storage_lists;
mod storage_extra;
// Re-export implementations
// Note: These imports are used by the impl blocks in the submodules
// The compiler shows them as unused because they're not directly used in this file
// but they're needed for the Storage struct methods to be available
pub use storage_extra::*;
// Table definitions for different Redis data types
const TYPES_TABLE: TableDefinition<&str, &str> = TableDefinition::new("types");
const STRINGS_TABLE: TableDefinition<&str, &[u8]> = TableDefinition::new("strings");
const HASHES_TABLE: TableDefinition<(&str, &str), &[u8]> = TableDefinition::new("hashes");
const LISTS_TABLE: TableDefinition<&str, &[u8]> = TableDefinition::new("lists");
const STREAMS_META_TABLE: TableDefinition<&str, &[u8]> = TableDefinition::new("streams_meta");
const STREAMS_DATA_TABLE: TableDefinition<(&str, &str), &[u8]> = TableDefinition::new("streams_data");
const ENCRYPTED_TABLE: TableDefinition<&str, u8> = TableDefinition::new("encrypted");
const EXPIRATION_TABLE: TableDefinition<&str, u64> = TableDefinition::new("expiration");
#[derive(Serialize, Deserialize, Debug, Clone)]
pub struct StreamEntry {
pub fields: Vec<(String, String)>,
}
#[derive(Serialize, Deserialize, Debug, Clone)]
pub struct ListValue {
pub elements: Vec<String>,
}
#[inline]
pub fn now_in_millis() -> u128 {
let start = SystemTime::now();
let duration_since_epoch = start.duration_since(UNIX_EPOCH).unwrap();
duration_since_epoch.as_millis()
}
pub struct Storage {
db: Database,
crypto: Option<CryptoFactory>,
}
impl Storage {
pub fn new(path: impl AsRef<Path>, should_encrypt: bool, master_key: Option<&str>) -> Result<Self, DBError> {
let db = Database::create(path)?;
// Create tables if they don't exist
let write_txn = db.begin_write()?;
{
let _ = write_txn.open_table(TYPES_TABLE)?;
let _ = write_txn.open_table(STRINGS_TABLE)?;
let _ = write_txn.open_table(HASHES_TABLE)?;
let _ = write_txn.open_table(LISTS_TABLE)?;
let _ = write_txn.open_table(STREAMS_META_TABLE)?;
let _ = write_txn.open_table(STREAMS_DATA_TABLE)?;
let _ = write_txn.open_table(ENCRYPTED_TABLE)?;
let _ = write_txn.open_table(EXPIRATION_TABLE)?;
}
write_txn.commit()?;
// Check if database was previously encrypted
let read_txn = db.begin_read()?;
let encrypted_table = read_txn.open_table(ENCRYPTED_TABLE)?;
let was_encrypted = encrypted_table.get("encrypted")?.map(|v| v.value() == 1).unwrap_or(false);
drop(read_txn);
let crypto = if should_encrypt || was_encrypted {
if let Some(key) = master_key {
Some(CryptoFactory::new(key.as_bytes()))
} else {
return Err(DBError("Encryption requested but no master key provided".to_string()));
}
} else {
None
};
// If we're enabling encryption for the first time, mark it
if should_encrypt && !was_encrypted {
let write_txn = db.begin_write()?;
{
let mut encrypted_table = write_txn.open_table(ENCRYPTED_TABLE)?;
encrypted_table.insert("encrypted", &1u8)?;
}
write_txn.commit()?;
}
Ok(Storage {
db,
crypto,
})
}
pub fn is_encrypted(&self) -> bool {
self.crypto.is_some()
}
// Helper methods for encryption
fn encrypt_if_needed(&self, data: &[u8]) -> Result<Vec<u8>, DBError> {
if let Some(crypto) = &self.crypto {
Ok(crypto.encrypt(data))
} else {
Ok(data.to_vec())
}
}
fn decrypt_if_needed(&self, data: &[u8]) -> Result<Vec<u8>, DBError> {
if let Some(crypto) = &self.crypto {
Ok(crypto.decrypt(data)?)
} else {
Ok(data.to_vec())
}
}
}
use crate::storage_trait::StorageBackend;
impl StorageBackend for Storage {
fn get(&self, key: &str) -> Result<Option<String>, DBError> {
self.get(key)
}
fn set(&self, key: String, value: String) -> Result<(), DBError> {
self.set(key, value)
}
fn setx(&self, key: String, value: String, expire_ms: u128) -> Result<(), DBError> {
self.setx(key, value, expire_ms)
}
fn del(&self, key: String) -> Result<(), DBError> {
self.del(key)
}
fn exists(&self, key: &str) -> Result<bool, DBError> {
self.exists(key)
}
fn keys(&self, pattern: &str) -> Result<Vec<String>, DBError> {
self.keys(pattern)
}
fn dbsize(&self) -> Result<i64, DBError> {
self.dbsize()
}
fn flushdb(&self) -> Result<(), DBError> {
self.flushdb()
}
fn get_key_type(&self, key: &str) -> Result<Option<String>, DBError> {
self.get_key_type(key)
}
fn scan(&self, cursor: u64, pattern: Option<&str>, count: Option<u64>) -> Result<(u64, Vec<(String, String)>), DBError> {
self.scan(cursor, pattern, count)
}
fn hscan(&self, key: &str, cursor: u64, pattern: Option<&str>, count: Option<u64>) -> Result<(u64, Vec<(String, String)>), DBError> {
self.hscan(key, cursor, pattern, count)
}
fn hset(&self, key: &str, pairs: Vec<(String, String)>) -> Result<i64, DBError> {
self.hset(key, pairs)
}
fn hget(&self, key: &str, field: &str) -> Result<Option<String>, DBError> {
self.hget(key, field)
}
fn hgetall(&self, key: &str) -> Result<Vec<(String, String)>, DBError> {
self.hgetall(key)
}
fn hdel(&self, key: &str, fields: Vec<String>) -> Result<i64, DBError> {
self.hdel(key, fields)
}
fn hexists(&self, key: &str, field: &str) -> Result<bool, DBError> {
self.hexists(key, field)
}
fn hkeys(&self, key: &str) -> Result<Vec<String>, DBError> {
self.hkeys(key)
}
fn hvals(&self, key: &str) -> Result<Vec<String>, DBError> {
self.hvals(key)
}
fn hlen(&self, key: &str) -> Result<i64, DBError> {
self.hlen(key)
}
fn hmget(&self, key: &str, fields: Vec<String>) -> Result<Vec<Option<String>>, DBError> {
self.hmget(key, fields)
}
fn hsetnx(&self, key: &str, field: &str, value: &str) -> Result<bool, DBError> {
self.hsetnx(key, field, value)
}
fn lpush(&self, key: &str, elements: Vec<String>) -> Result<i64, DBError> {
self.lpush(key, elements)
}
fn rpush(&self, key: &str, elements: Vec<String>) -> Result<i64, DBError> {
self.rpush(key, elements)
}
fn lpop(&self, key: &str, count: u64) -> Result<Vec<String>, DBError> {
self.lpop(key, count)
}
fn rpop(&self, key: &str, count: u64) -> Result<Vec<String>, DBError> {
self.rpop(key, count)
}
fn llen(&self, key: &str) -> Result<i64, DBError> {
self.llen(key)
}
fn lindex(&self, key: &str, index: i64) -> Result<Option<String>, DBError> {
self.lindex(key, index)
}
fn lrange(&self, key: &str, start: i64, stop: i64) -> Result<Vec<String>, DBError> {
self.lrange(key, start, stop)
}
fn ltrim(&self, key: &str, start: i64, stop: i64) -> Result<(), DBError> {
self.ltrim(key, start, stop)
}
fn lrem(&self, key: &str, count: i64, element: &str) -> Result<i64, DBError> {
self.lrem(key, count, element)
}
fn ttl(&self, key: &str) -> Result<i64, DBError> {
self.ttl(key)
}
fn expire_seconds(&self, key: &str, secs: u64) -> Result<bool, DBError> {
self.expire_seconds(key, secs)
}
fn pexpire_millis(&self, key: &str, ms: u128) -> Result<bool, DBError> {
self.pexpire_millis(key, ms)
}
fn persist(&self, key: &str) -> Result<bool, DBError> {
self.persist(key)
}
fn expire_at_seconds(&self, key: &str, ts_secs: i64) -> Result<bool, DBError> {
self.expire_at_seconds(key, ts_secs)
}
fn pexpire_at_millis(&self, key: &str, ts_ms: i64) -> Result<bool, DBError> {
self.pexpire_at_millis(key, ts_ms)
}
fn is_encrypted(&self) -> bool {
self.is_encrypted()
}
fn info(&self) -> Result<Vec<(String, String)>, DBError> {
self.info()
}
fn clone_arc(&self) -> Arc<dyn StorageBackend> {
unimplemented!("Storage cloning not yet implemented for redb backend")
}
}

View File

@@ -208,6 +208,14 @@ impl Storage {
write_txn.commit()?; write_txn.commit()?;
Ok(applied) Ok(applied)
} }
pub fn info(&self) -> Result<Vec<(String, String)>, DBError> {
let dbsize = self.dbsize()?;
Ok(vec![
("db_size".to_string(), dbsize.to_string()),
("is_encrypted".to_string(), self.is_encrypted().to_string()),
])
}
} }
// Utility function for glob pattern matching // Utility function for glob pattern matching

845
src/storage_sled/mod.rs Normal file
View File

@@ -0,0 +1,845 @@
// src/storage_sled/mod.rs
use std::path::Path;
use std::sync::Arc;
use std::collections::HashMap;
use std::time::{SystemTime, UNIX_EPOCH};
use serde::{Deserialize, Serialize};
use crate::error::DBError;
use crate::storage_trait::StorageBackend;
use crate::crypto::CryptoFactory;
#[derive(Serialize, Deserialize, Debug, Clone)]
enum ValueType {
String(String),
Hash(HashMap<String, String>),
List(Vec<String>),
}
#[derive(Serialize, Deserialize, Debug, Clone)]
struct StorageValue {
value: ValueType,
expires_at: Option<u128>, // milliseconds since epoch
}
pub struct SledStorage {
db: sled::Db,
types: sled::Tree,
crypto: Option<CryptoFactory>,
}
impl SledStorage {
pub fn new(path: impl AsRef<Path>, should_encrypt: bool, master_key: Option<&str>) -> Result<Self, DBError> {
let db = sled::open(path).map_err(|e| DBError(format!("Failed to open sled: {}", e)))?;
let types = db.open_tree("types").map_err(|e| DBError(format!("Failed to open types tree: {}", e)))?;
// Check if database was previously encrypted
let encrypted_tree = db.open_tree("encrypted").map_err(|e| DBError(e.to_string()))?;
let was_encrypted = encrypted_tree.get("encrypted")
.map_err(|e| DBError(e.to_string()))?
.map(|v| v[0] == 1)
.unwrap_or(false);
let crypto = if should_encrypt || was_encrypted {
if let Some(key) = master_key {
Some(CryptoFactory::new(key.as_bytes()))
} else {
return Err(DBError("Encryption requested but no master key provided".to_string()));
}
} else {
None
};
// Mark database as encrypted if enabling encryption
if should_encrypt && !was_encrypted {
encrypted_tree.insert("encrypted", &[1u8])
.map_err(|e| DBError(e.to_string()))?;
encrypted_tree.flush().map_err(|e| DBError(e.to_string()))?;
}
Ok(SledStorage { db, types, crypto })
}
fn now_millis() -> u128 {
SystemTime::now()
.duration_since(UNIX_EPOCH)
.unwrap()
.as_millis()
}
fn encrypt_if_needed(&self, data: &[u8]) -> Result<Vec<u8>, DBError> {
if let Some(crypto) = &self.crypto {
Ok(crypto.encrypt(data))
} else {
Ok(data.to_vec())
}
}
fn decrypt_if_needed(&self, data: &[u8]) -> Result<Vec<u8>, DBError> {
if let Some(crypto) = &self.crypto {
Ok(crypto.decrypt(data)?)
} else {
Ok(data.to_vec())
}
}
fn get_storage_value(&self, key: &str) -> Result<Option<StorageValue>, DBError> {
match self.db.get(key).map_err(|e| DBError(e.to_string()))? {
Some(encrypted_data) => {
let decrypted = self.decrypt_if_needed(&encrypted_data)?;
let storage_val: StorageValue = bincode::deserialize(&decrypted)
.map_err(|e| DBError(format!("Deserialization error: {}", e)))?;
// Check expiration
if let Some(expires_at) = storage_val.expires_at {
if Self::now_millis() > expires_at {
// Expired, remove it
self.db.remove(key).map_err(|e| DBError(e.to_string()))?;
self.types.remove(key).map_err(|e| DBError(e.to_string()))?;
return Ok(None);
}
}
Ok(Some(storage_val))
}
None => Ok(None)
}
}
fn set_storage_value(&self, key: &str, storage_val: StorageValue) -> Result<(), DBError> {
let data = bincode::serialize(&storage_val)
.map_err(|e| DBError(format!("Serialization error: {}", e)))?;
let encrypted = self.encrypt_if_needed(&data)?;
self.db.insert(key, encrypted).map_err(|e| DBError(e.to_string()))?;
// Store type info (unencrypted for efficiency)
let type_str = match &storage_val.value {
ValueType::String(_) => "string",
ValueType::Hash(_) => "hash",
ValueType::List(_) => "list",
};
self.types.insert(key, type_str.as_bytes()).map_err(|e| DBError(e.to_string()))?;
Ok(())
}
fn glob_match(pattern: &str, text: &str) -> bool {
if pattern == "*" {
return true;
}
let pattern_chars: Vec<char> = pattern.chars().collect();
let text_chars: Vec<char> = text.chars().collect();
fn match_recursive(pattern: &[char], text: &[char], pi: usize, ti: usize) -> bool {
if pi >= pattern.len() {
return ti >= text.len();
}
if ti >= text.len() {
return pattern[pi..].iter().all(|&c| c == '*');
}
match pattern[pi] {
'*' => {
for i in ti..=text.len() {
if match_recursive(pattern, text, pi + 1, i) {
return true;
}
}
false
}
'?' => match_recursive(pattern, text, pi + 1, ti + 1),
c => {
if text[ti] == c {
match_recursive(pattern, text, pi + 1, ti + 1)
} else {
false
}
}
}
}
match_recursive(&pattern_chars, &text_chars, 0, 0)
}
}
impl StorageBackend for SledStorage {
fn get(&self, key: &str) -> Result<Option<String>, DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => match storage_val.value {
ValueType::String(s) => Ok(Some(s)),
_ => Ok(None)
}
None => Ok(None)
}
}
fn set(&self, key: String, value: String) -> Result<(), DBError> {
let storage_val = StorageValue {
value: ValueType::String(value),
expires_at: None,
};
self.set_storage_value(&key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(())
}
fn setx(&self, key: String, value: String, expire_ms: u128) -> Result<(), DBError> {
let storage_val = StorageValue {
value: ValueType::String(value),
expires_at: Some(Self::now_millis() + expire_ms),
};
self.set_storage_value(&key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(())
}
fn del(&self, key: String) -> Result<(), DBError> {
self.db.remove(&key).map_err(|e| DBError(e.to_string()))?;
self.types.remove(&key).map_err(|e| DBError(e.to_string()))?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(())
}
fn exists(&self, key: &str) -> Result<bool, DBError> {
// Check with expiration
Ok(self.get_storage_value(key)?.is_some())
}
fn keys(&self, pattern: &str) -> Result<Vec<String>, DBError> {
let mut keys = Vec::new();
for item in self.types.iter() {
let (key_bytes, _) = item.map_err(|e| DBError(e.to_string()))?;
let key = String::from_utf8_lossy(&key_bytes).to_string();
// Check if key is expired
if self.get_storage_value(&key)?.is_some() {
if Self::glob_match(pattern, &key) {
keys.push(key);
}
}
}
Ok(keys)
}
fn scan(&self, cursor: u64, pattern: Option<&str>, count: Option<u64>) -> Result<(u64, Vec<(String, String)>), DBError> {
let mut result = Vec::new();
let mut current_cursor = 0u64;
let limit = count.unwrap_or(10) as usize;
for item in self.types.iter() {
if current_cursor >= cursor {
let (key_bytes, type_bytes) = item.map_err(|e| DBError(e.to_string()))?;
let key = String::from_utf8_lossy(&key_bytes).to_string();
// Check pattern match
let matches = if let Some(pat) = pattern {
Self::glob_match(pat, &key)
} else {
true
};
if matches {
// Check if key is expired and get value
if let Some(storage_val) = self.get_storage_value(&key)? {
let value = match storage_val.value {
ValueType::String(s) => s,
_ => String::from_utf8_lossy(&type_bytes).to_string(),
};
result.push((key, value));
if result.len() >= limit {
current_cursor += 1;
break;
}
}
}
}
current_cursor += 1;
}
let next_cursor = if result.len() < limit { 0 } else { current_cursor };
Ok((next_cursor, result))
}
fn dbsize(&self) -> Result<i64, DBError> {
let mut count = 0i64;
for item in self.types.iter() {
let (key_bytes, _) = item.map_err(|e| DBError(e.to_string()))?;
let key = String::from_utf8_lossy(&key_bytes).to_string();
if self.get_storage_value(&key)?.is_some() {
count += 1;
}
}
Ok(count)
}
fn flushdb(&self) -> Result<(), DBError> {
self.db.clear().map_err(|e| DBError(e.to_string()))?;
self.types.clear().map_err(|e| DBError(e.to_string()))?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(())
}
fn get_key_type(&self, key: &str) -> Result<Option<String>, DBError> {
// First check if key exists (handles expiration)
if self.get_storage_value(key)?.is_some() {
match self.types.get(key).map_err(|e| DBError(e.to_string()))? {
Some(data) => Ok(Some(String::from_utf8_lossy(&data).to_string())),
None => Ok(None)
}
} else {
Ok(None)
}
}
// Hash operations
fn hset(&self, key: &str, pairs: Vec<(String, String)>) -> Result<i64, DBError> {
let mut storage_val = self.get_storage_value(key)?.unwrap_or(StorageValue {
value: ValueType::Hash(HashMap::new()),
expires_at: None,
});
let hash = match &mut storage_val.value {
ValueType::Hash(h) => h,
_ => return Err(DBError("WRONGTYPE Operation against a key holding the wrong kind of value".to_string())),
};
let mut new_fields = 0i64;
for (field, value) in pairs {
if !hash.contains_key(&field) {
new_fields += 1;
}
hash.insert(field, value);
}
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(new_fields)
}
fn hget(&self, key: &str, field: &str) -> Result<Option<String>, DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => match storage_val.value {
ValueType::Hash(h) => Ok(h.get(field).cloned()),
_ => Ok(None)
}
None => Ok(None)
}
}
fn hgetall(&self, key: &str) -> Result<Vec<(String, String)>, DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => match storage_val.value {
ValueType::Hash(h) => Ok(h.into_iter().collect()),
_ => Ok(Vec::new())
}
None => Ok(Vec::new())
}
}
fn hscan(&self, key: &str, cursor: u64, pattern: Option<&str>, count: Option<u64>) -> Result<(u64, Vec<(String, String)>), DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => match storage_val.value {
ValueType::Hash(h) => {
let mut result = Vec::new();
let mut current_cursor = 0u64;
let limit = count.unwrap_or(10) as usize;
for (field, value) in h.iter() {
if current_cursor >= cursor {
let matches = if let Some(pat) = pattern {
Self::glob_match(pat, field)
} else {
true
};
if matches {
result.push((field.clone(), value.clone()));
if result.len() >= limit {
current_cursor += 1;
break;
}
}
}
current_cursor += 1;
}
let next_cursor = if result.len() < limit { 0 } else { current_cursor };
Ok((next_cursor, result))
}
_ => Err(DBError("WRONGTYPE Operation against a key holding the wrong kind of value".to_string()))
}
None => Ok((0, Vec::new()))
}
}
fn hdel(&self, key: &str, fields: Vec<String>) -> Result<i64, DBError> {
let mut storage_val = match self.get_storage_value(key)? {
Some(sv) => sv,
None => return Ok(0)
};
let hash = match &mut storage_val.value {
ValueType::Hash(h) => h,
_ => return Ok(0)
};
let mut deleted = 0i64;
for field in fields {
if hash.remove(&field).is_some() {
deleted += 1;
}
}
if hash.is_empty() {
self.del(key.to_string())?;
} else {
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
}
Ok(deleted)
}
fn hexists(&self, key: &str, field: &str) -> Result<bool, DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => match storage_val.value {
ValueType::Hash(h) => Ok(h.contains_key(field)),
_ => Ok(false)
}
None => Ok(false)
}
}
fn hkeys(&self, key: &str) -> Result<Vec<String>, DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => match storage_val.value {
ValueType::Hash(h) => Ok(h.keys().cloned().collect()),
_ => Ok(Vec::new())
}
None => Ok(Vec::new())
}
}
fn hvals(&self, key: &str) -> Result<Vec<String>, DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => match storage_val.value {
ValueType::Hash(h) => Ok(h.values().cloned().collect()),
_ => Ok(Vec::new())
}
None => Ok(Vec::new())
}
}
fn hlen(&self, key: &str) -> Result<i64, DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => match storage_val.value {
ValueType::Hash(h) => Ok(h.len() as i64),
_ => Ok(0)
}
None => Ok(0)
}
}
fn hmget(&self, key: &str, fields: Vec<String>) -> Result<Vec<Option<String>>, DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => match storage_val.value {
ValueType::Hash(h) => {
Ok(fields.into_iter().map(|f| h.get(&f).cloned()).collect())
}
_ => Ok(fields.into_iter().map(|_| None).collect())
}
None => Ok(fields.into_iter().map(|_| None).collect())
}
}
fn hsetnx(&self, key: &str, field: &str, value: &str) -> Result<bool, DBError> {
let mut storage_val = self.get_storage_value(key)?.unwrap_or(StorageValue {
value: ValueType::Hash(HashMap::new()),
expires_at: None,
});
let hash = match &mut storage_val.value {
ValueType::Hash(h) => h,
_ => return Err(DBError("WRONGTYPE Operation against a key holding the wrong kind of value".to_string())),
};
if hash.contains_key(field) {
Ok(false)
} else {
hash.insert(field.to_string(), value.to_string());
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(true)
}
}
// List operations
fn lpush(&self, key: &str, elements: Vec<String>) -> Result<i64, DBError> {
let mut storage_val = self.get_storage_value(key)?.unwrap_or(StorageValue {
value: ValueType::List(Vec::new()),
expires_at: None,
});
let list = match &mut storage_val.value {
ValueType::List(l) => l,
_ => return Err(DBError("WRONGTYPE Operation against a key holding the wrong kind of value".to_string())),
};
for element in elements.into_iter().rev() {
list.insert(0, element);
}
let len = list.len() as i64;
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(len)
}
fn rpush(&self, key: &str, elements: Vec<String>) -> Result<i64, DBError> {
let mut storage_val = self.get_storage_value(key)?.unwrap_or(StorageValue {
value: ValueType::List(Vec::new()),
expires_at: None,
});
let list = match &mut storage_val.value {
ValueType::List(l) => l,
_ => return Err(DBError("WRONGTYPE Operation against a key holding the wrong kind of value".to_string())),
};
list.extend(elements);
let len = list.len() as i64;
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(len)
}
fn lpop(&self, key: &str, count: u64) -> Result<Vec<String>, DBError> {
let mut storage_val = match self.get_storage_value(key)? {
Some(sv) => sv,
None => return Ok(Vec::new())
};
let list = match &mut storage_val.value {
ValueType::List(l) => l,
_ => return Ok(Vec::new())
};
let mut result = Vec::new();
for _ in 0..count.min(list.len() as u64) {
if let Some(elem) = list.first() {
result.push(elem.clone());
list.remove(0);
}
}
if list.is_empty() {
self.del(key.to_string())?;
} else {
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
}
Ok(result)
}
fn rpop(&self, key: &str, count: u64) -> Result<Vec<String>, DBError> {
let mut storage_val = match self.get_storage_value(key)? {
Some(sv) => sv,
None => return Ok(Vec::new())
};
let list = match &mut storage_val.value {
ValueType::List(l) => l,
_ => return Ok(Vec::new())
};
let mut result = Vec::new();
for _ in 0..count.min(list.len() as u64) {
if let Some(elem) = list.pop() {
result.push(elem);
}
}
if list.is_empty() {
self.del(key.to_string())?;
} else {
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
}
Ok(result)
}
fn llen(&self, key: &str) -> Result<i64, DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => match storage_val.value {
ValueType::List(l) => Ok(l.len() as i64),
_ => Ok(0)
}
None => Ok(0)
}
}
fn lindex(&self, key: &str, index: i64) -> Result<Option<String>, DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => match storage_val.value {
ValueType::List(list) => {
let actual_index = if index < 0 {
list.len() as i64 + index
} else {
index
};
if actual_index >= 0 && (actual_index as usize) < list.len() {
Ok(Some(list[actual_index as usize].clone()))
} else {
Ok(None)
}
}
_ => Ok(None)
}
None => Ok(None)
}
}
fn lrange(&self, key: &str, start: i64, stop: i64) -> Result<Vec<String>, DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => match storage_val.value {
ValueType::List(list) => {
if list.is_empty() {
return Ok(Vec::new());
}
let len = list.len() as i64;
let start_idx = if start < 0 {
std::cmp::max(0, len + start)
} else {
std::cmp::min(start, len)
};
let stop_idx = if stop < 0 {
std::cmp::max(-1, len + stop)
} else {
std::cmp::min(stop, len - 1)
};
if start_idx > stop_idx || start_idx >= len {
return Ok(Vec::new());
}
let start_usize = start_idx as usize;
let stop_usize = (stop_idx + 1) as usize;
Ok(list[start_usize..std::cmp::min(stop_usize, list.len())].to_vec())
}
_ => Ok(Vec::new())
}
None => Ok(Vec::new())
}
}
fn ltrim(&self, key: &str, start: i64, stop: i64) -> Result<(), DBError> {
let mut storage_val = match self.get_storage_value(key)? {
Some(sv) => sv,
None => return Ok(())
};
let list = match &mut storage_val.value {
ValueType::List(l) => l,
_ => return Ok(())
};
if list.is_empty() {
return Ok(());
}
let len = list.len() as i64;
let start_idx = if start < 0 {
std::cmp::max(0, len + start)
} else {
std::cmp::min(start, len)
};
let stop_idx = if stop < 0 {
std::cmp::max(-1, len + stop)
} else {
std::cmp::min(stop, len - 1)
};
if start_idx > stop_idx || start_idx >= len {
self.del(key.to_string())?;
} else {
let start_usize = start_idx as usize;
let stop_usize = (stop_idx + 1) as usize;
*list = list[start_usize..std::cmp::min(stop_usize, list.len())].to_vec();
if list.is_empty() {
self.del(key.to_string())?;
} else {
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
}
}
Ok(())
}
fn lrem(&self, key: &str, count: i64, element: &str) -> Result<i64, DBError> {
let mut storage_val = match self.get_storage_value(key)? {
Some(sv) => sv,
None => return Ok(0)
};
let list = match &mut storage_val.value {
ValueType::List(l) => l,
_ => return Ok(0)
};
let mut removed = 0i64;
if count == 0 {
// Remove all occurrences
let original_len = list.len();
list.retain(|x| x != element);
removed = (original_len - list.len()) as i64;
} else if count > 0 {
// Remove first count occurrences
let mut to_remove = count as usize;
list.retain(|x| {
if x == element && to_remove > 0 {
to_remove -= 1;
removed += 1;
false
} else {
true
}
});
} else {
// Remove last |count| occurrences
let mut to_remove = (-count) as usize;
for i in (0..list.len()).rev() {
if list[i] == element && to_remove > 0 {
list.remove(i);
to_remove -= 1;
removed += 1;
}
}
}
if list.is_empty() {
self.del(key.to_string())?;
} else {
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
}
Ok(removed)
}
// Expiration
fn ttl(&self, key: &str) -> Result<i64, DBError> {
match self.get_storage_value(key)? {
Some(storage_val) => {
if let Some(expires_at) = storage_val.expires_at {
let now = Self::now_millis();
if now >= expires_at {
Ok(-2) // Key has expired
} else {
Ok(((expires_at - now) / 1000) as i64) // TTL in seconds
}
} else {
Ok(-1) // Key exists but has no expiration
}
}
None => Ok(-2) // Key does not exist
}
}
fn expire_seconds(&self, key: &str, secs: u64) -> Result<bool, DBError> {
let mut storage_val = match self.get_storage_value(key)? {
Some(sv) => sv,
None => return Ok(false)
};
storage_val.expires_at = Some(Self::now_millis() + (secs as u128) * 1000);
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(true)
}
fn pexpire_millis(&self, key: &str, ms: u128) -> Result<bool, DBError> {
let mut storage_val = match self.get_storage_value(key)? {
Some(sv) => sv,
None => return Ok(false)
};
storage_val.expires_at = Some(Self::now_millis() + ms);
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(true)
}
fn persist(&self, key: &str) -> Result<bool, DBError> {
let mut storage_val = match self.get_storage_value(key)? {
Some(sv) => sv,
None => return Ok(false)
};
if storage_val.expires_at.is_some() {
storage_val.expires_at = None;
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(true)
} else {
Ok(false)
}
}
fn expire_at_seconds(&self, key: &str, ts_secs: i64) -> Result<bool, DBError> {
let mut storage_val = match self.get_storage_value(key)? {
Some(sv) => sv,
None => return Ok(false)
};
let expires_at_ms: u128 = if ts_secs <= 0 { 0 } else { (ts_secs as u128) * 1000 };
storage_val.expires_at = Some(expires_at_ms);
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(true)
}
fn pexpire_at_millis(&self, key: &str, ts_ms: i64) -> Result<bool, DBError> {
let mut storage_val = match self.get_storage_value(key)? {
Some(sv) => sv,
None => return Ok(false)
};
let expires_at_ms: u128 = if ts_ms <= 0 { 0 } else { ts_ms as u128 };
storage_val.expires_at = Some(expires_at_ms);
self.set_storage_value(key, storage_val)?;
self.db.flush().map_err(|e| DBError(e.to_string()))?;
Ok(true)
}
fn is_encrypted(&self) -> bool {
self.crypto.is_some()
}
fn info(&self) -> Result<Vec<(String, String)>, DBError> {
let dbsize = self.dbsize()?;
Ok(vec![
("db_size".to_string(), dbsize.to_string()),
("is_encrypted".to_string(), self.is_encrypted().to_string()),
])
}
fn clone_arc(&self) -> Arc<dyn StorageBackend> {
// Note: This is a simplified clone - in production you might want to
// handle this differently as sled::Db is already Arc internally
Arc::new(SledStorage {
db: self.db.clone(),
types: self.types.clone(),
crypto: self.crypto.clone(),
})
}
}

58
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// src/storage_trait.rs
use crate::error::DBError;
use std::sync::Arc;
pub trait StorageBackend: Send + Sync {
// Basic key operations
fn get(&self, key: &str) -> Result<Option<String>, DBError>;
fn set(&self, key: String, value: String) -> Result<(), DBError>;
fn setx(&self, key: String, value: String, expire_ms: u128) -> Result<(), DBError>;
fn del(&self, key: String) -> Result<(), DBError>;
fn exists(&self, key: &str) -> Result<bool, DBError>;
fn keys(&self, pattern: &str) -> Result<Vec<String>, DBError>;
fn dbsize(&self) -> Result<i64, DBError>;
fn flushdb(&self) -> Result<(), DBError>;
fn get_key_type(&self, key: &str) -> Result<Option<String>, DBError>;
// Scanning
fn scan(&self, cursor: u64, pattern: Option<&str>, count: Option<u64>) -> Result<(u64, Vec<(String, String)>), DBError>;
fn hscan(&self, key: &str, cursor: u64, pattern: Option<&str>, count: Option<u64>) -> Result<(u64, Vec<(String, String)>), DBError>;
// Hash operations
fn hset(&self, key: &str, pairs: Vec<(String, String)>) -> Result<i64, DBError>;
fn hget(&self, key: &str, field: &str) -> Result<Option<String>, DBError>;
fn hgetall(&self, key: &str) -> Result<Vec<(String, String)>, DBError>;
fn hdel(&self, key: &str, fields: Vec<String>) -> Result<i64, DBError>;
fn hexists(&self, key: &str, field: &str) -> Result<bool, DBError>;
fn hkeys(&self, key: &str) -> Result<Vec<String>, DBError>;
fn hvals(&self, key: &str) -> Result<Vec<String>, DBError>;
fn hlen(&self, key: &str) -> Result<i64, DBError>;
fn hmget(&self, key: &str, fields: Vec<String>) -> Result<Vec<Option<String>>, DBError>;
fn hsetnx(&self, key: &str, field: &str, value: &str) -> Result<bool, DBError>;
// List operations
fn lpush(&self, key: &str, elements: Vec<String>) -> Result<i64, DBError>;
fn rpush(&self, key: &str, elements: Vec<String>) -> Result<i64, DBError>;
fn lpop(&self, key: &str, count: u64) -> Result<Vec<String>, DBError>;
fn rpop(&self, key: &str, count: u64) -> Result<Vec<String>, DBError>;
fn llen(&self, key: &str) -> Result<i64, DBError>;
fn lindex(&self, key: &str, index: i64) -> Result<Option<String>, DBError>;
fn lrange(&self, key: &str, start: i64, stop: i64) -> Result<Vec<String>, DBError>;
fn ltrim(&self, key: &str, start: i64, stop: i64) -> Result<(), DBError>;
fn lrem(&self, key: &str, count: i64, element: &str) -> Result<i64, DBError>;
// Expiration
fn ttl(&self, key: &str) -> Result<i64, DBError>;
fn expire_seconds(&self, key: &str, secs: u64) -> Result<bool, DBError>;
fn pexpire_millis(&self, key: &str, ms: u128) -> Result<bool, DBError>;
fn persist(&self, key: &str) -> Result<bool, DBError>;
fn expire_at_seconds(&self, key: &str, ts_secs: i64) -> Result<bool, DBError>;
fn pexpire_at_millis(&self, key: &str, ts_ms: i64) -> Result<bool, DBError>;
// Metadata
fn is_encrypted(&self) -> bool;
fn info(&self) -> Result<Vec<(String, String)>, DBError>;
// Clone to Arc for sharing
fn clone_arc(&self) -> Arc<dyn StorageBackend>;
}

567
src/tantivy_search.rs Normal file
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use tantivy::{
collector::TopDocs,
directory::MmapDirectory,
query::{QueryParser, BooleanQuery, Query, TermQuery, Occur},
schema::{Schema, Field, TextOptions, TextFieldIndexing,
STORED, STRING, Value},
Index, IndexWriter, IndexReader, ReloadPolicy,
Term, DateTime, TantivyDocument,
tokenizer::{TokenizerManager},
};
use std::path::PathBuf;
use std::sync::{Arc, RwLock};
use std::collections::HashMap;
use crate::error::DBError;
use serde::{Serialize, Deserialize};
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum FieldDef {
Text {
stored: bool,
indexed: bool,
tokenized: bool,
fast: bool,
},
Numeric {
stored: bool,
indexed: bool,
fast: bool,
precision: NumericType,
},
Tag {
stored: bool,
separator: String,
case_sensitive: bool,
},
Geo {
stored: bool,
},
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum NumericType {
I64,
U64,
F64,
Date,
}
pub struct IndexSchema {
schema: Schema,
fields: HashMap<String, (Field, FieldDef)>,
default_search_fields: Vec<Field>,
}
pub struct TantivySearch {
index: Index,
writer: Arc<RwLock<IndexWriter>>,
reader: IndexReader,
index_schema: IndexSchema,
name: String,
config: IndexConfig,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct IndexConfig {
pub language: String,
pub stopwords: Vec<String>,
pub stemming: bool,
pub max_doc_count: Option<usize>,
pub default_score: f64,
}
impl Default for IndexConfig {
fn default() -> Self {
IndexConfig {
language: "english".to_string(),
stopwords: vec![],
stemming: true,
max_doc_count: None,
default_score: 1.0,
}
}
}
impl TantivySearch {
pub fn new_with_schema(
base_path: PathBuf,
name: String,
field_definitions: Vec<(String, FieldDef)>,
config: Option<IndexConfig>,
) -> Result<Self, DBError> {
let index_path = base_path.join(&name);
std::fs::create_dir_all(&index_path)
.map_err(|e| DBError(format!("Failed to create index dir: {}", e)))?;
// Build schema from field definitions
let mut schema_builder = Schema::builder();
let mut fields = HashMap::new();
let mut default_search_fields = Vec::new();
// Always add a document ID field
let id_field = schema_builder.add_text_field("_id", STRING | STORED);
fields.insert("_id".to_string(), (id_field, FieldDef::Text {
stored: true,
indexed: true,
tokenized: false,
fast: false,
}));
// Add user-defined fields
for (field_name, field_def) in field_definitions {
let field = match &field_def {
FieldDef::Text { stored, indexed, tokenized, fast: _fast } => {
let mut text_options = TextOptions::default();
if *stored {
text_options = text_options.set_stored();
}
if *indexed {
let indexing_options = if *tokenized {
TextFieldIndexing::default()
.set_tokenizer("default")
.set_index_option(tantivy::schema::IndexRecordOption::WithFreqsAndPositions)
} else {
TextFieldIndexing::default()
.set_tokenizer("raw")
.set_index_option(tantivy::schema::IndexRecordOption::Basic)
};
text_options = text_options.set_indexing_options(indexing_options);
let f = schema_builder.add_text_field(&field_name, text_options);
if *tokenized {
default_search_fields.push(f);
}
f
} else {
schema_builder.add_text_field(&field_name, text_options)
}
}
FieldDef::Numeric { stored, indexed, fast, precision } => {
match precision {
NumericType::I64 => {
let mut opts = tantivy::schema::NumericOptions::default();
if *stored { opts = opts.set_stored(); }
if *indexed { opts = opts.set_indexed(); }
if *fast { opts = opts.set_fast(); }
schema_builder.add_i64_field(&field_name, opts)
}
NumericType::U64 => {
let mut opts = tantivy::schema::NumericOptions::default();
if *stored { opts = opts.set_stored(); }
if *indexed { opts = opts.set_indexed(); }
if *fast { opts = opts.set_fast(); }
schema_builder.add_u64_field(&field_name, opts)
}
NumericType::F64 => {
let mut opts = tantivy::schema::NumericOptions::default();
if *stored { opts = opts.set_stored(); }
if *indexed { opts = opts.set_indexed(); }
if *fast { opts = opts.set_fast(); }
schema_builder.add_f64_field(&field_name, opts)
}
NumericType::Date => {
let mut opts = tantivy::schema::DateOptions::default();
if *stored { opts = opts.set_stored(); }
if *indexed { opts = opts.set_indexed(); }
if *fast { opts = opts.set_fast(); }
schema_builder.add_date_field(&field_name, opts)
}
}
}
FieldDef::Tag { stored, separator: _, case_sensitive: _ } => {
let mut text_options = TextOptions::default();
if *stored {
text_options = text_options.set_stored();
}
text_options = text_options.set_indexing_options(
TextFieldIndexing::default()
.set_tokenizer("raw")
.set_index_option(tantivy::schema::IndexRecordOption::Basic)
);
schema_builder.add_text_field(&field_name, text_options)
}
FieldDef::Geo { stored } => {
// For now, store as two f64 fields for lat/lon
let mut opts = tantivy::schema::NumericOptions::default();
if *stored { opts = opts.set_stored(); }
opts = opts.set_indexed().set_fast();
let lat_field = schema_builder.add_f64_field(&format!("{}_lat", field_name), opts.clone());
let lon_field = schema_builder.add_f64_field(&format!("{}_lon", field_name), opts);
fields.insert(format!("{}_lat", field_name), (lat_field, FieldDef::Numeric {
stored: *stored,
indexed: true,
fast: true,
precision: NumericType::F64,
}));
fields.insert(format!("{}_lon", field_name), (lon_field, FieldDef::Numeric {
stored: *stored,
indexed: true,
fast: true,
precision: NumericType::F64,
}));
continue; // Skip adding the geo field itself
}
};
fields.insert(field_name.clone(), (field, field_def));
}
let schema = schema_builder.build();
let index_schema = IndexSchema {
schema: schema.clone(),
fields,
default_search_fields,
};
// Create or open index
let dir = MmapDirectory::open(&index_path)
.map_err(|e| DBError(format!("Failed to open index directory: {}", e)))?;
let mut index = Index::open_or_create(dir, schema)
.map_err(|e| DBError(format!("Failed to create index: {}", e)))?;
// Configure tokenizers
let tokenizer_manager = TokenizerManager::default();
index.set_tokenizers(tokenizer_manager);
let writer = index.writer(1_000_000)
.map_err(|e| DBError(format!("Failed to create index writer: {}", e)))?;
let reader = index
.reader_builder()
.reload_policy(ReloadPolicy::OnCommitWithDelay)
.try_into()
.map_err(|e| DBError(format!("Failed to create reader: {}", e)))?;
let config = config.unwrap_or_default();
Ok(TantivySearch {
index,
writer: Arc::new(RwLock::new(writer)),
reader,
index_schema,
name,
config,
})
}
pub fn add_document_with_fields(
&self,
doc_id: &str,
fields: HashMap<String, String>,
) -> Result<(), DBError> {
let mut writer = self.writer.write()
.map_err(|e| DBError(format!("Failed to acquire writer lock: {}", e)))?;
// Delete existing document with same ID
if let Some((id_field, _)) = self.index_schema.fields.get("_id") {
writer.delete_term(Term::from_field_text(*id_field, doc_id));
}
// Create new document
let mut doc = tantivy::doc!();
// Add document ID
if let Some((id_field, _)) = self.index_schema.fields.get("_id") {
doc.add_text(*id_field, doc_id);
}
// Add other fields based on schema
for (field_name, field_value) in fields {
if let Some((field, field_def)) = self.index_schema.fields.get(&field_name) {
match field_def {
FieldDef::Text { .. } => {
doc.add_text(*field, &field_value);
}
FieldDef::Numeric { precision, .. } => {
match precision {
NumericType::I64 => {
if let Ok(v) = field_value.parse::<i64>() {
doc.add_i64(*field, v);
}
}
NumericType::U64 => {
if let Ok(v) = field_value.parse::<u64>() {
doc.add_u64(*field, v);
}
}
NumericType::F64 => {
if let Ok(v) = field_value.parse::<f64>() {
doc.add_f64(*field, v);
}
}
NumericType::Date => {
if let Ok(v) = field_value.parse::<i64>() {
doc.add_date(*field, DateTime::from_timestamp_millis(v));
}
}
}
}
FieldDef::Tag { separator, case_sensitive, .. } => {
let tags = if !case_sensitive {
field_value.to_lowercase()
} else {
field_value.clone()
};
// Store tags as separate terms for efficient filtering
for tag in tags.split(separator.as_str()) {
doc.add_text(*field, tag.trim());
}
}
FieldDef::Geo { .. } => {
// Parse "lat,lon" format
let parts: Vec<&str> = field_value.split(',').collect();
if parts.len() == 2 {
if let (Ok(lat), Ok(lon)) = (parts[0].parse::<f64>(), parts[1].parse::<f64>()) {
if let Some((lat_field, _)) = self.index_schema.fields.get(&format!("{}_lat", field_name)) {
doc.add_f64(*lat_field, lat);
}
if let Some((lon_field, _)) = self.index_schema.fields.get(&format!("{}_lon", field_name)) {
doc.add_f64(*lon_field, lon);
}
}
}
}
}
}
}
writer.add_document(doc).map_err(|e| DBError(format!("Failed to add document: {}", e)))?;
writer.commit()
.map_err(|e| DBError(format!("Failed to commit: {}", e)))?;
Ok(())
}
pub fn search_with_options(
&self,
query_str: &str,
options: SearchOptions,
) -> Result<SearchResults, DBError> {
let searcher = self.reader.searcher();
// Parse query based on search fields
let query: Box<dyn Query> = if self.index_schema.default_search_fields.is_empty() {
return Err(DBError("No searchable fields defined in schema".to_string()));
} else {
let query_parser = QueryParser::for_index(
&self.index,
self.index_schema.default_search_fields.clone(),
);
Box::new(query_parser.parse_query(query_str)
.map_err(|e| DBError(format!("Failed to parse query: {}", e)))?)
};
// Apply filters if any
let final_query = if !options.filters.is_empty() {
let mut clauses: Vec<(Occur, Box<dyn Query>)> = vec![(Occur::Must, query)];
// Add filters
for filter in options.filters {
if let Some((field, _)) = self.index_schema.fields.get(&filter.field) {
match filter.filter_type {
FilterType::Equals(value) => {
let term_query = TermQuery::new(
Term::from_field_text(*field, &value),
tantivy::schema::IndexRecordOption::Basic,
);
clauses.push((Occur::Must, Box::new(term_query)));
}
FilterType::Range { min: _, max: _ } => {
// Would need numeric field handling here
// Simplified for now
}
FilterType::InSet(values) => {
let mut sub_clauses: Vec<(Occur, Box<dyn Query>)> = vec![];
for value in values {
let term_query = TermQuery::new(
Term::from_field_text(*field, &value),
tantivy::schema::IndexRecordOption::Basic,
);
sub_clauses.push((Occur::Should, Box::new(term_query)));
}
clauses.push((Occur::Must, Box::new(BooleanQuery::new(sub_clauses))));
}
}
}
}
Box::new(BooleanQuery::new(clauses))
} else {
query
};
// Execute search
let top_docs = searcher.search(
&*final_query,
&TopDocs::with_limit(options.limit + options.offset)
).map_err(|e| DBError(format!("Search failed: {}", e)))?;
let total_hits = top_docs.len();
let mut documents = Vec::new();
for (score, doc_address) in top_docs.iter().skip(options.offset).take(options.limit) {
let retrieved_doc: TantivyDocument = searcher.doc(*doc_address)
.map_err(|e| DBError(format!("Failed to retrieve doc: {}", e)))?;
let mut doc_fields = HashMap::new();
// Extract all stored fields
for (field_name, (field, field_def)) in &self.index_schema.fields {
match field_def {
FieldDef::Text { stored, .. } |
FieldDef::Tag { stored, .. } => {
if *stored {
if let Some(value) = retrieved_doc.get_first(*field) {
if let Some(text) = value.as_str() {
doc_fields.insert(field_name.clone(), text.to_string());
}
}
}
}
FieldDef::Numeric { stored, precision, .. } => {
if *stored {
let value_str = match precision {
NumericType::I64 => {
retrieved_doc.get_first(*field)
.and_then(|v| v.as_i64())
.map(|v| v.to_string())
}
NumericType::U64 => {
retrieved_doc.get_first(*field)
.and_then(|v| v.as_u64())
.map(|v| v.to_string())
}
NumericType::F64 => {
retrieved_doc.get_first(*field)
.and_then(|v| v.as_f64())
.map(|v| v.to_string())
}
NumericType::Date => {
retrieved_doc.get_first(*field)
.and_then(|v| v.as_datetime())
.map(|v| v.into_timestamp_millis().to_string())
}
};
if let Some(v) = value_str {
doc_fields.insert(field_name.clone(), v);
}
}
}
FieldDef::Geo { stored } => {
if *stored {
let lat_field = self.index_schema.fields.get(&format!("{}_lat", field_name)).unwrap().0;
let lon_field = self.index_schema.fields.get(&format!("{}_lon", field_name)).unwrap().0;
let lat = retrieved_doc.get_first(lat_field).and_then(|v| v.as_f64());
let lon = retrieved_doc.get_first(lon_field).and_then(|v| v.as_f64());
if let (Some(lat), Some(lon)) = (lat, lon) {
doc_fields.insert(field_name.clone(), format!("{},{}", lat, lon));
}
}
}
}
}
documents.push(SearchDocument {
fields: doc_fields,
score: *score,
});
}
Ok(SearchResults {
total: total_hits,
documents,
})
}
pub fn get_info(&self) -> Result<IndexInfo, DBError> {
let searcher = self.reader.searcher();
let num_docs = searcher.num_docs();
let fields_info: Vec<FieldInfo> = self.index_schema.fields.iter().map(|(name, (_, def))| {
FieldInfo {
name: name.clone(),
field_type: format!("{:?}", def),
}
}).collect();
Ok(IndexInfo {
name: self.name.clone(),
num_docs,
fields: fields_info,
config: self.config.clone(),
})
}
}
#[derive(Debug, Clone)]
pub struct SearchOptions {
pub limit: usize,
pub offset: usize,
pub filters: Vec<Filter>,
pub sort_by: Option<String>,
pub return_fields: Option<Vec<String>>,
pub highlight: bool,
}
impl Default for SearchOptions {
fn default() -> Self {
SearchOptions {
limit: 10,
offset: 0,
filters: vec![],
sort_by: None,
return_fields: None,
highlight: false,
}
}
}
#[derive(Debug, Clone)]
pub struct Filter {
pub field: String,
pub filter_type: FilterType,
}
#[derive(Debug, Clone)]
pub enum FilterType {
Equals(String),
Range { min: String, max: String },
InSet(Vec<String>),
}
#[derive(Debug)]
pub struct SearchResults {
pub total: usize,
pub documents: Vec<SearchDocument>,
}
#[derive(Debug)]
pub struct SearchDocument {
pub fields: HashMap<String, String>,
pub score: f32,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct IndexInfo {
pub name: String,
pub num_docs: u64,
pub fields: Vec<FieldInfo>,
pub config: IndexConfig,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct FieldInfo {
pub name: String,
pub field_type: String,
}

View File

@@ -27,6 +27,7 @@ async fn debug_hset_simple() {
debug: false, debug: false,
encrypt: false, encrypt: false,
encryption_key: None, encryption_key: None,
backend: herodb::options::BackendType::Redb,
}; };
let mut server = Server::new(option).await; let mut server = Server::new(option).await;

View File

@@ -18,6 +18,7 @@ async fn debug_hset_return_value() {
debug: false, debug: false,
encrypt: false, encrypt: false,
encryption_key: None, encryption_key: None,
backend: herodb::options::BackendType::Redb,
}; };
let mut server = Server::new(option).await; let mut server = Server::new(option).await;

View File

@@ -22,6 +22,7 @@ async fn start_test_server(test_name: &str) -> (Server, u16) {
debug: true, debug: true,
encrypt: false, encrypt: false,
encryption_key: None, encryption_key: None,
backend: herodb::options::BackendType::Redb,
}; };
let server = Server::new(option).await; let server = Server::new(option).await;

View File

@@ -24,6 +24,7 @@ async fn start_test_server(test_name: &str) -> (Server, u16) {
debug: true, debug: true,
encrypt: false, encrypt: false,
encryption_key: None, encryption_key: None,
backend: herodb::options::BackendType::Redb,
}; };
let server = Server::new(option).await; let server = Server::new(option).await;

View File

@@ -22,6 +22,7 @@ async fn start_test_server(test_name: &str) -> (Server, u16) {
debug: false, debug: false,
encrypt: false, encrypt: false,
encryption_key: None, encryption_key: None,
backend: herodb::options::BackendType::Redb,
}; };
let server = Server::new(option).await; let server = Server::new(option).await;

View File

@@ -22,6 +22,7 @@ async fn start_test_server(test_name: &str) -> (Server, u16) {
debug: false, debug: false,
encrypt: false, encrypt: false,
encryption_key: None, encryption_key: None,
backend: herodb::options::BackendType::Redb,
}; };
let server = Server::new(option).await; let server = Server::new(option).await;