Reference

Technical reference documentation and quick lookup resources for Warp.

The warp CLI reference provides complete documentation for all commands, flags, and options. Use this reference when you need detailed information about command syntax and parameters.

Quick access to frequently used commands:

• warp put - Upload performance tests
• warp get - Download performance tests
• warp mixed - Mixed workload tests
• warp analyze - Analyze test results

Warp reports throughput in multiple formats depending on the test type.

Latency measurements show response time distribution across all operations.

First-byte latency measures the time from request initiation to receiving the first byte of response. This metric reveals storage system responsiveness before data transfer begins.

Low first-byte latency indicates efficient request processing and minimal network overhead. High first-byte latency may indicate network issues, storage system load, or processing bottlenecks.

First-byte latency appears in GET operation tests and shows time-to-first-byte (TTFB) characteristics.

Warp saves benchmark data in CSV format with optional zstd compression. These files contain operation-level details for subsequent analysis and comparison.

Warp generates benchmark data files with timestamps by default.

Format: warp-<benchmark>-<timestamp>.csv.zst

Example: warp-mixed-2025-10-09-143022.csv.zst

Each row in the benchmark data file represents a single operation.

Analyze benchmark files using the analyze command:

warp analyze benchmark-data.csv.zst

Compare two benchmark runs:

warp cmp before.csv.zst after.csv.zst

Merge multiple benchmark runs:

warp merge client1.csv.zst client2.csv.zst client3.csv.zst

Warp supports environment variables for common connection parameters. Set these variables to avoid repeating connection details in every command.

Set environment variables in your shell:

export WARP_HOST=myaistor.example.com:9000
export WARP_ACCESS_KEY=ACCESS_KEY
export WARP_SECRET_KEY=SECRET_KEY
export WARP_TLS=true

Then run tests without specifying connection parameters:

warp mixed

Warp accepts object sizes in multiple formats. All size suffixes use binary (base-2) units.

Multiple sizes for randomization:

warp put --obj.size 1KiB,100KiB,1MiB,10MiB --obj.randsize --access-key YOUR_ACCESS_KEY --secret-key YOUR_SECRET_KEY

Specify test duration using time suffixes.

Combine values for precise durations:

warp mixed --duration 5m30s --access-key YOUR_ACCESS_KEY --secret-key YOUR_SECRET_KEY

Warp returns standard exit codes to indicate execution status.

Check exit codes in scripts:

warp put --duration 5m --access-key YOUR_ACCESS_KEY --secret-key YOUR_SECRET_KEY
if [ $? -eq 0 ]; then
    echo "Test completed successfully"
fi

Warp works with S3-compatible storage systems. The tool uses standard S3 API operations that any compatible system should support.

Warp has been tested with these S3-compatible storage systems:

• MinIO (all versions)
• Amazon S3
• Google Cloud Storage (S3 compatibility mode)
• Azure Blob Storage (S3 compatibility mode)
• Other systems implementing AWS S3 API

Warp tests use these S3 API operations.

Core operations:

• PutObject / PostObject
• GetObject
• DeleteObject
• DeleteObjects (batch delete)
• HeadObject / StatObject
• ListObjectsV2

Advanced features:

• CreateMultipartUpload / UploadPart / CompleteMultipartUpload
• GetObjectVersions (for versioned tests)
• PutObjectRetention / PutObjectLegalHold (for retention tests)

Some tests use MinIO-specific extensions that require MinIO servers.

These tests will not work with other S3 implementations.

Distributed benchmarking Coordinating multiple Warp client instances to generate aggregate load from different hosts. The coordinator sends test instructions to all clients and merges their results. For complete documentation, see Distributed benchmarking.

Preparation phase Initial phase where tests upload objects to populate test data before measuring performance. Preparation time does not count toward performance measurements.

Measurement phase Phase where tests execute target operations and collect performance data. The test duration controls how long this phase runs.

Erasure coding Data protection technique that splits objects into data and parity blocks distributed across drives. Provides durability with less storage overhead than replication.

First-byte latency Time from request initiation to receiving the first byte of response data. Reveals network and processing overhead before data transfer begins.

Multipart upload S3 upload method that splits large objects into parts uploaded independently. Improves reliability and enables parallel uploads for better performance.

Object versioning S3 feature that preserves multiple variants of each object. Every modification creates a new version rather than overwriting the existing object.

S3 Express One Zone AWS storage class optimizing for single-digit millisecond latency. Supports unique operations like append that standard S3 does not provide.

Latency percentile Statistical measure showing response time at a specific percentage of operations. p99 means 99% of operations completed within the reported time.

Operations per second Count of completed S3 operations per second regardless of object size. Represents request processing rate rather than data throughput.

Tail latency Performance of the slowest operations typically measured at p99 or p99.9. High tail latency indicates some operations experience significantly worse performance.

Throughput Rate of data transfer measured in MB/s for operations that move data. Represents bandwidth utilization for uploads and downloads.

CRC merging Checksum calculation technique allowing incremental updates without recalculating entire object checksums. Required for append operations to efficiently validate data integrity.

Trailing headers HTTP headers sent after the request or response body completes. Used for checksums calculated during data transfer rather than before.

WebSocket Protocol providing persistent bidirectional communication between coordinator and clients. Enables real-time test coordination for distributed testing.