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upstream-seaweedfs/test/s3/parquet/test_sse_s3_compatibility.py
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255 lines
8.2 KiB
Python
Executable File

#!/usr/bin/env python3
"""
Test script for SSE-S3 compatibility with PyArrow native S3 filesystem.
This test specifically targets the SSE-S3 multipart upload bug where
SeaweedFS panics with "bad IV length" when reading multipart uploads
that were encrypted with bucket-default SSE-S3.
Requirements:
- pyarrow>=10.0.0
- boto3>=1.28.0
Environment Variables:
S3_ENDPOINT_URL: S3 endpoint (default: localhost:8333)
S3_ACCESS_KEY: S3 access key (default: some_access_key1)
S3_SECRET_KEY: S3 secret key (default: some_secret_key1)
BUCKET_NAME: S3 bucket name (default: test-parquet-bucket)
Usage:
# Start SeaweedFS with SSE-S3 enabled
make start-seaweedfs-ci ENABLE_SSE_S3=true
# Run the test
python3 test_sse_s3_compatibility.py
"""
import os
import secrets
import sys
import logging
from typing import Optional
import pyarrow as pa
import pyarrow.dataset as pads
import pyarrow.fs as pafs
import pyarrow.parquet as pq
try:
import boto3
from botocore.exceptions import ClientError
HAS_BOTO3 = True
except ImportError:
HAS_BOTO3 = False
logging.exception("boto3 is required for this test")
sys.exit(1)
from parquet_test_utils import create_sample_table
logging.basicConfig(level=logging.INFO, format="%(message)s")
# Configuration
S3_ENDPOINT_URL = os.environ.get("S3_ENDPOINT_URL", "localhost:8333")
S3_ACCESS_KEY = os.environ.get("S3_ACCESS_KEY", "some_access_key1")
S3_SECRET_KEY = os.environ.get("S3_SECRET_KEY", "some_secret_key1")
BUCKET_NAME = os.getenv("BUCKET_NAME", "test-parquet-bucket")
TEST_RUN_ID = secrets.token_hex(8)
TEST_DIR = f"sse-s3-tests/{TEST_RUN_ID}"
# Test sizes designed to trigger multipart uploads
# PyArrow typically uses 5MB chunks, so these sizes should trigger multipart
TEST_SIZES = {
"tiny": 10, # Single part
"small": 1_000, # Single part
"medium": 50_000, # Single part (~1.5MB)
"large": 200_000, # Multiple parts (~6MB)
"very_large": 500_000, # Multiple parts (~15MB)
}
def init_s3_filesystem() -> tuple[Optional[pafs.S3FileSystem], str, str]:
"""Initialize PyArrow's native S3 filesystem."""
try:
logging.info("Initializing PyArrow S3FileSystem...")
# Determine scheme from endpoint
if S3_ENDPOINT_URL.startswith("http://"):
scheme = "http"
endpoint = S3_ENDPOINT_URL[7:]
elif S3_ENDPOINT_URL.startswith("https://"):
scheme = "https"
endpoint = S3_ENDPOINT_URL[8:]
else:
scheme = "http"
endpoint = S3_ENDPOINT_URL
s3 = pafs.S3FileSystem(
access_key=S3_ACCESS_KEY,
secret_key=S3_SECRET_KEY,
endpoint_override=endpoint,
scheme=scheme,
allow_bucket_creation=True,
allow_bucket_deletion=True,
)
logging.info("✓ PyArrow S3FileSystem initialized\n")
return s3, scheme, endpoint
except Exception:
logging.exception("✗ Failed to initialize PyArrow S3FileSystem")
return None, "", ""
def ensure_bucket_exists(scheme: str, endpoint: str) -> bool:
"""Ensure the test bucket exists using boto3."""
try:
endpoint_url = f"{scheme}://{endpoint}"
s3_client = boto3.client(
's3',
endpoint_url=endpoint_url,
aws_access_key_id=S3_ACCESS_KEY,
aws_secret_access_key=S3_SECRET_KEY,
region_name='us-east-1',
)
try:
s3_client.head_bucket(Bucket=BUCKET_NAME)
logging.info(f"✓ Bucket exists: {BUCKET_NAME}")
except ClientError as e:
error_code = e.response['Error']['Code']
if error_code == '404':
logging.info(f"Creating bucket: {BUCKET_NAME}")
s3_client.create_bucket(Bucket=BUCKET_NAME)
logging.info(f"✓ Bucket created: {BUCKET_NAME}")
else:
logging.exception("✗ Failed to access bucket")
return False
# Note: SeaweedFS doesn't support GetBucketEncryption API
# so we can't verify if SSE-S3 is enabled via API
# We assume it's configured correctly in the s3.json config file
logging.info("✓ Assuming SSE-S3 is configured in s3.json")
return True
except Exception:
logging.exception("✗ Failed to check bucket")
return False
def test_write_read_with_sse(
s3: pafs.S3FileSystem,
test_name: str,
num_rows: int
) -> tuple[bool, str, int]:
"""Test writing and reading with SSE-S3 encryption."""
try:
table = create_sample_table(num_rows)
filename = f"{BUCKET_NAME}/{TEST_DIR}/{test_name}/data.parquet"
logging.info(f" Writing {num_rows:,} rows...")
pads.write_dataset(
table,
filename,
filesystem=s3,
format="parquet",
)
logging.info(" Reading back...")
table_read = pq.read_table(filename, filesystem=s3)
if table_read.num_rows != num_rows:
return False, f"Row count mismatch: {table_read.num_rows} != {num_rows}", 0
return True, "Success", table_read.num_rows
except Exception as e:
error_msg = f"{type(e).__name__}: {e!s}"
logging.exception(" ✗ Failed")
return False, error_msg, 0
def main():
"""Run SSE-S3 compatibility tests."""
print("=" * 80)
print("SSE-S3 Compatibility Tests for PyArrow Native S3")
print("Testing Multipart Upload Encryption")
print("=" * 80 + "\n")
print("Configuration:")
print(f" S3 Endpoint: {S3_ENDPOINT_URL}")
print(f" Bucket: {BUCKET_NAME}")
print(f" Test Directory: {TEST_DIR}")
print(f" PyArrow Version: {pa.__version__}")
print()
# Initialize
s3, scheme, endpoint = init_s3_filesystem()
if s3 is None:
print("Cannot proceed without S3 connection")
return 1
# Check bucket and SSE-S3
if not ensure_bucket_exists(scheme, endpoint):
print("\n⚠ WARNING: Failed to access or create the test bucket!")
print("This test requires a reachable bucket with SSE-S3 enabled.")
print("Please ensure SeaweedFS is running with: make start-seaweedfs-ci ENABLE_SSE_S3=true")
return 1
print()
results = []
# Test all sizes
for size_name, num_rows in TEST_SIZES.items():
print(f"\n{'='*80}")
print(f"Testing {size_name} dataset ({num_rows:,} rows)")
print(f"{'='*80}")
success, message, rows_read = test_write_read_with_sse(
s3, size_name, num_rows
)
results.append((size_name, num_rows, success, message, rows_read))
if success:
print(f" ✓ SUCCESS: Read {rows_read:,} rows")
else:
print(f" ✗ FAILED: {message}")
# Summary
print("\n" + "=" * 80)
print("SUMMARY")
print("=" * 80)
passed = sum(1 for _, _, success, _, _ in results if success)
total = len(results)
print(f"\nTotal: {passed}/{total} tests passed\n")
print(f"{'Size':<15} {'Rows':>10} {'Status':<10} {'Rows Read':>10} {'Message':<40}")
print("-" * 90)
for size_name, num_rows, success, message, rows_read in results:
status = "✓ PASS" if success else "✗ FAIL"
rows_str = f"{rows_read:,}" if success else "N/A"
print(f"{size_name:<15} {num_rows:>10,} {status:<10} {rows_str:>10} {message[:40]}")
print("\n" + "=" * 80)
if passed == total:
print("✓ ALL TESTS PASSED WITH SSE-S3!")
print("\nThis means:")
print(" - SSE-S3 encryption is working correctly")
print(" - PyArrow native S3 filesystem is compatible")
print(" - Multipart uploads are handled properly")
else:
print(f"✗ {total - passed} test(s) failed")
print("\nPossible issues:")
print(" - SSE-S3 multipart upload bug with empty IV")
print(" - Encryption/decryption mismatch")
print(" - File corruption during upload")
print("=" * 80 + "\n")
return 0 if passed == total else 1
if __name__ == "__main__":
sys.exit(main())