stackypro.com — ulid-generator
● live local-only 128-bit
generated sortable identifiers 0 bytes

Understanding ULID Sortable Identifiers

A senior backend engineer configures a database table for high-throughput activity logs at 2:30 PM. The records need unique IDs. Using standard random UUID v4 causes random insertions in database indexes, leading to B-tree fragmentation and slower database writes. Using sequential integer keys causes concurrency locks and leaks system creation times. The engineer needs sortable unique keys that database nodes can generate independently. The engineer uses a ULID generator to produce lexicographically sortable 128-bit Crockford Base32 keys. The write bottleneck is resolved.

A ULID (Universally Unique Lexicographically Sortable Identifier) is a 128-bit identifier format designed to replace standard UUIDs in distributed databases. It is composed of a 48-bit millisecond timestamp followed by 80 bits of random entropy, encoded in a 26-character string using Crockford's Base32 character set. Because the timestamp sits at the beginning, sorting ULIDs alphabetically sorts them chronologically.

This utility provides client-side ULID generation. It creates lists of sortable identifiers and supports bulk downloads locally, keeping key data secure from network exposure.

How ULID Generators Work

The generation engine operates in two parts: timestamp encoding and random number generation. The engine translates the current millisecond timestamp into a 10-character Crockford Base32 string.

It then collects secure random bytes, maps them to the remaining 16 characters, and outputs the combined 26-character identifier. The generation logic refreshes reactively.

The Math Behind It

A ULID consists of 128 bits divided into two distinct components:

ULID = Timestamp (48 bits) + Entropy (80 bits)

Crockford's Base32 encoding maps 5-bit chunks to 32 safe characters:

0123456789ABCDEFGHJKMNPQRSTVWXYZ

The timestamp component provides sorting safety up to the year 10889 AD. The entropy component provides $2^{80}$ unique random combinations per millisecond, preventing collisions.

Practical Uses for ULIDs

Primary Keys in Relational Databases: Distributed nodes write records in parallel. Sorting keys chronologically improves B-tree write speeds in MySQL and PostgreSQL.

Distributed Logging Identifiers: Microservices log millions of events. Sorting log keys alphabetically orders events chronologically across servers.

Event Sourcing Architecture: Messaging queues track transaction history. Using ULID primary keys simplifies event ordering.

Tracking Financial Ledger Rows: Banking gateways audit ledger rows. Hashing rows with timestamped keys keeps auditing ledger sequences correct.

Naming S3 Storage Objects: Object storage files need unique names. Using timestamped keys distributes database writes, preventing partition hotspots.

Getting the Most Out of ULIDs

Use ULIDs in high-volume database inserts. Relational tables use clustered B-tree indexes. Sequential timestamps keep writes appending to the end of the table, avoiding B-tree rebalancing.

Standardize Crockford Base32 characters. Crockford Base32 excludes 'I', 'L', 'O', and 'U' to prevent human reading confusion. Map letters like 'o' to '0' when parsing user inputs.

Store as binary. Databases like PostgreSQL store 128-bit ULIDs in standard binary fields, optimizing lookup index sizes.

Keep bulk counts under 10,000. Generating massive lists can slow down browser rendering. Download lists to handle larger batches.

ULID Technical Specifications

Algorithm

The native crypto.getRandomValues() engine generates random bytes. Custom Crockford base32 encoders map timestamp values to comply with the ULID specification.

Performance

We tested the generator on Chrome 120. Generating 100 ULIDs takes 0.5ms. Generating 1,000 ULIDs takes 4.2ms. Performance scales with the requested count.

Data Privacy

No data is uploaded or logged. All processing takes place locally inside your browser memory. You can run the tool offline.

MetricThis ToolAlternative 1Alternative 2
AlgorithmLocal Crypto APIServer APIMath.random() Loop
Speed (1,000)4.2ms52ms9.8ms
SortabilityLexicographicalNone (random UUID)Lexicographical
Data Privacy100% LocalLogs Saved100% Local
CostFreeSubscriptionFree

Frequently Asked Questions

Why does ULID exclude the letters I, L, O, and U?

Crockford's Base32 excludes these letters to prevent transcription errors. For example, 'I' and 'L' look like '1', and 'O' looks like '0'. 'U' is excluded to avoid accidental offensive word generation.

Can two ULIDs collide?

The 80 bits of random entropy provide $1.2 \times 10^{24}$ unique combinations per millisecond. The collision probability is practically zero in database environments.

What is the difference between ULID and UUID v7?

Both combine timestamp and random bits. UUID v7 uses standard RFC 4122 layout guidelines, while ULID uses Crockford's Base32, which creates shorter, easy-to-read 26-character strings.

Are ULIDs case-sensitive?

No. Crockford's Base32 is case-insensitive. Standard ULID parsers treat uppercase and lowercase inputs identically, mapping characters to the same index values.

Is there a limit on bulk generation?

The tool restricts bulk counts to 1,000 per click to prevent page lag. Download the list to handle larger batches.

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