AmberDB
AmberDB is a high-performance, schema-driven NoSQL database engine for Perl, featuring ACID transactions and precomputed inverted indexing on top of Berkeley DB (DB_File). It delivers zero-overhead schema management, extensible JSON-like block records without relational SQL JOIN bottlenecks, 8-byte packed binary indexing, intelligent locale-aware full-text search, Strict 2-Phase Locking (Strict 2PL), a 2-Pillar continuous disaster recovery and .amberdb native archiving architecture, and high-throughput batch operations.
Key Features
- 🏎️ Ultra High-Performance: Leverages Berkeley DB (
DB_File) hash storage with $O(1)$ binary slicing and configurable in-memory buffers. - 🧱 JOIN-Free JSON-like Extensible Block Records: Eliminates complex relational SQL
JOINoverhead by storing hierarchical, extensible block records. Newly added blocks and attributes are automatically indexed on the fly for low-latency multi-dimensional querying. - ⚙️ Schema-Driven Dynamic Runtime Manipulation: Table-specific schemas govern field validations, encodings, and index mappings. Schemas and values are fully mutable and can be modified dynamically at runtime without requiring table recreation or migrations.
- 📦 8-Byte Packed Binary Indexing: Primary and secondary indexes use unified 8-byte packed binary buffers (
Q*/a8*), enabling $O(1)$ substring slicing, sub-millisecond pagination, and memory-efficientkeys_onlyscalar pipelines. - 🔍 Intelligent & Locale-Aware Accent Search: Advanced full-text search engine (
.src) equipped with regional language and accent intelligence, phonetic devoicing (b/d/g -> p/t/k), circumflex/accent unfolding (â/î/û -> a/i/u), apostrophe suffix stop-words, and prefix wildcard matching. - 🏷️ Columnar Facet Indexing (
.fac): High-performance multi-dimensional facet filtering with index-level bitwise intersections and bidirectional string dictionaries (.str) for e-commerce, catalogs, and large categorical datasets. - 🗄️ Multi-Tier Junk & Lifecycle Management: Segregates active records from historical/archived data (
.dbmaster vs.jnktier) with seamless single-pass hybrid queries (jnktype => 'A' | 'B' | 'AB' | 'BA'). - 🛡️ ACID-Compliant Undo-Journal Transactions: Full ACID multi-table transactions with disk-backed journaling (
.txn), Strict Two-Phase Locking (Strict 2PL), automatic LIFO rollback upon failure or abnormal process exit, and orphaned journal recovery. - 💾 2-Pillar Disaster Recovery & Native
.amberdbArchiving:- Pillar 1 (Continuous Recovery Stream): Automatic append-only audit stream in
backup/YYYY/YYYY-MM-DD.csvcapturing everyinsert,modify, anddelete. - Pillar 2 (Native Portable Archive): Compressed, portable
.amberdbarchives containing schemas (schema/*.table,schema/*.dbase) and authoritative data files (tables/*.db,tables/*.del,tables/*.aut,tables/*.cnt,tables/*_*.str) with SHA-256 integrity verification. Derived indexes are excluded to save space and reconstructed deterministically on restore.
- Pillar 1 (Continuous Recovery Stream): Automatic append-only audit stream in
- 🔒 Multi-Granularity Concurrency Control: Non-blocking shared reads and exclusive writes at both table-level and individual record-level using OS-native
flock. - 🌐 Multilingual Locale Engine: Out-of-the-box support for 9 languages (
en,tr,de,fr,es,ja,ru,ar,az) with language-specific case folding (e.g. Turkishı/Iandi/İ), collation, currency, and date formatting. - 🚀 High-Throughput 2-Phase Batch Operations: High-performance batch ingestion pipeline (
insert_list,modify_list,delete_list) opens master.dbonce for batch writing and executes single-pass index merging (.inx,.src,.fld,.fac,.srt), delivering 50x-100x faster ETL data imports without per-record locking overhead. - ⚡ RAM-Disk Acceleration: Integrated CLI tools and automation for mounting
tmpfs(Linux) orImDisk(Windows) for sub-microsecond in-memory table access.
File System & Storage Architecture
AmberDB organizes database files into a clean, deterministic physical directory structure:
dbstore/
├── schema/ ← Database Group & Table Schemas
│ ├── catalog.dbase ← Database group configuration
│ └── catalog_products.table ← Product table schema
├── tables/ ← Master Data & Derived Index Files
│ ├── catalog_products.db ← Primary key-value data table (DB_File Hash)
│ ├── catalog_products.del ← Soft-deleted records archive (keep_deleted)
│ ├── catalog_products.aut ← User audit trail log (log_owner)
│ ├── catalog_products.cnt ← View/hit counters (use_counter)
│ ├── catalog_products_1.str ← Bidirectional string-to-ID dictionary
│ ├── catalog_products.inx ← Primary 8-byte packed ID index
│ ├── catalog_products_1.fld ← Inverted exact-match field index
│ ├── catalog_products_2.src ← Full-text keyword search index
│ ├── catalog_products_3.fac ← Columnar facet filter bitset index
│ └── catalog_products_4.srt ← Monotonic binary pre-sorted index
└── backup/ ← Disaster Recovery & Archives
└── 2026/
├── 2026-08-28.csv ← Continuous time-series audit stream (Pillar 1)
└── full_backup.amberdb ← Compressed native database archive (Pillar 2)
File Extension Reference
| File Extension | Classification | Reconstructible? | Description |
| :--- | :--- | :--- | :--- |
| Authoritative Master Data | | | |
| .db | Primary Data (Source of Truth) | ❌ No (Authoritative) | Berkeley DB master document table (DB_File Hash) |
| .del | Soft-Deleted Archive | ❌ No (Authoritative) | Archive of soft-deleted records (keep_deleted) |
| .aut | User Audit Trail | ❌ No (Authoritative) | Chronological user action log (log_owner) |
| .str | String Dictionary | ❌ No (Authoritative) | Bidirectional string-to-foreign-key dictionary (_${blk}.str) |
| Derived Secondary Indexes | | | |
| .inx | Record Index | Yes (set_index) | Binary array of all active IDs, total count, highest ID |
| .fld | Inverted Match Index | Yes (set_index) | Block-level key-to-IDs inverted index (match_block) |
| .src | Full-Text Search Index | Yes (set_index) | Word-level token inverted index (search_block) |
| .srt | Sorted Index | Yes (set_index) | Pre-sorted binary array of record IDs (sort_block) |
| .fac | Facet Navigation Index | Yes (set_index) | Forward bitset index for faceted filter navigation (facet_block) |
| .rwt | SEO URL Slug Map | Yes (set_index) | Bidirectional map: _0.rwt (ID→Slug) and _1.rwt (Slug→ID) |
| .jinx| Junk Record Index | Yes (set_index) | Binary primary index for cold/archived records (use_junk) |
| .jfld| Junk Match Index | Yes (set_index) | Field match index for cold records (jnktype => 'B'/'AB') |
| .jsrc| Junk Full-Text Search | Yes (set_index) | Word-level inverted index for cold records (jnktype => 'B'/'AB') |
| Runtime & Backup Files | | | |
| .amberdb | Native Database Archive | 📦 Portable Archive | Compressed tar archive with schemas, data files, and SHA-256 manifest |
| .csv | Continuous WAL Stream | 🛡️ Append-Only Log | Daily chronological audit stream (backup/YYYY/YYYY-MM-DD.csv) |
| .cnt | View / Hit Counter | ⚠️ Counter State | High-throughput concurrent counter store (use_counter) |
| .txn | Transaction Undo Journal | ⚠️ Transient (Runtime) | Active transaction rollback journal file (txn/) |
| .cache | L2 Shared Cache | Yes (RAM-Disk) | L2 RAM-Disk shared cache file (cache/) |
| .tmp | Disk Buffer File | ⚠️ Transient (Staging) | Disk staging buffer file under dbstore/buffer/ (buffer_write) |
| .lock | Process Mutex Lock | ⚠️ Transient (Mutex) | OS flock process synchronization lock file |
Installation
Via CPAN (Recommended)
cpanm AmberDB
Manual Build from Source
git clone https://github.com/marufcetin/amberdb.git
cd amberdb
perl Makefile.PL
make
make test
make install
(On Windows with Strawberry Perl, use gmake or dmake)
Quick Start
1. Initialization
use strict;
use warnings;
use AmberDB;
# Initialize AmberDB instance handle ($adb)
my $adb = AmberDB->new(
cfg => { user => 'admin_user', language => 'en' },
path => { dbase_dir => './dbstore' }
);
2. CRUD Operations
# --- INSERT ---
# Record structure: (ID, Title, Category, Price, CreatedDate, Status)
# Pass ID = 0 to auto-generate a unique 64-bit ID
my $id = $adb->insert_id("catalog_products", 0, "Wireless Headphones", "Electronics", 149.99, "2026-08-28", 1);
print "Created Product ID: $id\n";
# --- READ ---
my $product = $adb->read_id("catalog_products", $id);
print "Product Title: $product->[1]\n";
# --- UPDATE ---
$product->[3] = 129.99; # Update Price
$adb->modify_id("catalog_products", @$product);
# --- DELETE ---
$adb->delete_id("catalog_products", $id);
3. Querying & Pagination
[!IMPORTANT]
List Return Signature Convention:
In read_all, field_fetch, and search_table, when limit > 0 (paginated), the method returns ($total_count, @records) where the first scalar is the total matched count integer. When limit is omitted or 0 (unpaginated), it returns @records directly.
Unpacking a paginated query as my @records causes $records[0] to be the integer count, throwing a fatal error on $records[0]->[1].
# --- 1. Unpaginated Queries (Returns pure record or ID array) ---
my @all_products = $adb->read_all("catalog_products");
my @all_ids = $adb->read_all("catalog_products", 0, 0, keys_only => 1); # ID list (ultra low-memory)
my @sorted_all = $adb->read_all("catalog_products", 0, 0, sort => -3); # Unpaginated ascending sort
# --- 2. Paginated Queries (limit > 0: first element is $total_count integer) ---
my ($total_count, @page_products) = $adb->read_all(
"catalog_products",
start => 0,
limit => 20,
sort => { blk => 3, reverse => 1 } # Sort descending by Price (field 3)
);
print "Total Matching: $total_count, Page Size: " . scalar(@page_products) . "\n";
# Paginated high-efficiency pipeline returning only record IDs (keys_only)
my ($total, @page_ids) = $adb->read_all("catalog_products", 0, 50, keys_only => 1);
4. Full-Text Search
# Search product catalog with language normalization and filtering
my ($total, @results) = $adb->search_table(
"catalog_products",
"wireless headphone",
start => 0,
limit => 20,
);
5. Multi-Block Field & Facet Filtering
my $res = $adb->field_filter("catalog_products", {
type => "and",
filter => {
2 => "Electronics",
5 => 1 # Active status
},
sort => { blk => 3, reverse => 0 }, # Ascending price
start => 0,
limit => 10,
});
print "Found $res->{count} matching products.\n";
6. ACID Transactions & Strict 2PL (Undo-Journal)
AmberDB provides full ACID-compliant transactions via disk-backed undo-journaling and Strict Two-Phase Locking (Strict 2PL):
# Start atomic multi-table transaction
$adb->transact_start();
eval {
# 1. Deduct balance (acquires record lock, writes undo log)
my $account = $adb->read_id("user_account", $user_id);
$account->[2] -= 100.00;
$adb->modify_id("user_account", @$account);
# 2. Create order
my $order_id = $adb->insert_id("order_master", 0, $user_id, 100.00, "COMPLETED");
# 3. Commit transaction (releases locks, removes journal)
my $status = $adb->transact_end();
if ($status->{status} eq 'rollback') {
die "Transaction rolled back automatically!";
}
};
if ($@) {
# Explicit manual rollback if an external exception occurred
$adb->transact_rollback();
warn "Transaction failed: $@";
}
7. Native Database Backup & Restore (.amberdb)
use AmberDB::Tools;
my $tools = AmberDB::Tools->new($adb);
# Create a compressed .amberdb backup archive
my $archive = $tools->dump();
# Archive created at: dbstore/backup/2026/amberdb_2026-08-28_180000.amberdb
# Restore archive with SHA-256 verification and automatic index rebuilding
my $result = $tools->restore(
file => "backup/2026/full_backup.amberdb",
force => 1, # Overwrite authorization for non-empty directories
reindex => 1 # Automatically reconstruct .inx, .src, .fld, .fac, .srt
);
8. High-Throughput Batch Operations (Batch ETL & Ingestion)
When importing or updating hundreds or thousands of records from CSV, JSON, or external APIs, use the 2-phase batch methods (insert_list, modify_list, delete_list). These methods open the master .db file once and update all secondary indexes in a single batched pass, avoiding per-record locking and disk I/O overhead:
# --- BATCH INSERT ---
# Array of record tuples: [ [ID (0 for auto-assign), Title, Category, Price, Date, Status], ... ]
my @batch_products = (
[ 0, "Mechanical Keyboard RGB", "Accessories", 129.99, "2026-08-28", 1 ],
[ 0, "Ergonomic Office Chair", "Furniture", 349.50, "2026-08-28", 1 ],
[ 0, "4K Ultra-Wide Monitor", "Electronics", 799.00, "2026-08-28", 1 ],
);
# Ingest batch in a single I/O pass with automatic index compilation
my $status = $adb->insert_list("catalog_products", @batch_products);
# Returns hashref of created IDs: { 101 => 1, 102 => 1, 103 => 1 }
# --- BATCH UPDATE ---
my @updates = (
[ 101, "Mechanical Keyboard RGB v2", "Accessories", 139.99, "2026-08-28", 1 ],
[ 102, "Ergonomic Office Chair XL", "Furniture", 369.50, "2026-08-28", 1 ],
);
$adb->modify_list("catalog_products", @updates);
# --- BATCH DELETE ---
$adb->delete_list("catalog_products", 101, 102, 103);
CLI Utilities
AmberDB ships with standalone command-line tools in bin/:
1. bin/amberdb_backup.pl (Native Backup & Restore)
Create and restore compressed, portable .amberdb database archives:
# Dump entire database to default archive
perl bin/amberdb_backup.pl --dump
# Dump specific tables to custom archive
perl bin/amberdb_backup.pl --dump --file backup/catalog.amberdb --tables products,orders
# Restore archive into database with automatic index rebuilding
perl bin/amberdb_backup.pl --restore --file backup/catalog.amberdb --force
2. bin/convert_dbstore.pl (Binary Re-Indexer)
Scans and rebuilds all table indexes (.inx, .fld, .src, .srt) into packed 8-byte binary format:
perl bin/convert_dbstore.pl --dbstore ./dbstore
3. bin/setup_ramdisk.pl (RAM-Disk Accelerator)
Mounts/unmounts ultra-fast RAM-disk caches for Linux (tmpfs) and Windows (ImDisk):
# Mount 512MB RAM-disk
sudo perl bin/setup_ramdisk.pl --start --size 512M
# Check status
perl bin/setup_ramdisk.pl --status
Multilingual Locale Engine
AmberDB includes a built-in localization and text processing engine (AmberDB::Locale):
my $locale = AmberDB::Locale->new('tr');
# Correct Turkish case folding
print $locale->uc('ışık'); # "IŞIK"
print $locale->uc('istanbul'); # "İSTANBUL"
print $locale->lc('İZMİR'); # "izmir"
# Word normalization and phonetic devoicing
print $locale->normalize("Ahmet'in kitabı"); # "ahmet kitabi"
# Currency and number formatting
print $locale->format_currency(1250.50, 'TRY'); # "₺1.250,50"
Supported Languages: English (en), Turkish (tr), German (de), French (fr), Spanish (es), Japanese (ja), Russian (ru), Arabic (ar), Azerbaijani (az).
Documentation
Full comprehensive guides are available in the docs/ directory:
- 📖 English Documentation:
- 📖 Türkçe Dokümantasyon:
Running Tests
AmberDB contains an extensive test suite covering core operations, indexing, transactions, search, facets, concurrency, locales, and backups:
# Run all tests via prove
prove -l t/
# Or via standard MakeMaker
perl Makefile.PL
make test
Contributing
Contributions, bug reports, and pull requests are welcome! Please see CONTRIBUTING.md for guidelines.
Author
Maruf Cetin
Email: marufcetin@gmail.com
GitHub: @marufcetin
License and Copyright
Copyright (C) 2005-2026 Maruf Cetin.
This library is free software; you can redistribute it and/or modify it under the terms of the Artistic License 2.0. See LICENSE for details.