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https://github.com/hanzoai/s3.git
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hanzoai/s3 was an AGPL-3.0 MinIO fork whose network-copyleft blocks embedding
and reselling as a managed service. Replace it wholesale with a fork of
SeaweedFS (github.com/seaweedfs/seaweedfs, Apache-2.0, Go) which ships a
built-in S3 gateway + Filer.
- License: AGPL-3.0 -> Apache-2.0 (upstream LICENSE kept verbatim, incl.
"Copyright 2025 Chris Lu"); NOTICE added crediting SeaweedFS. No AGPL/BUSL/
SSPL/GPL or enterprise ("ee") files remain.
- Module: go.mod path set to github.com/hanzoai/s3 with a self-replace
(replace github.com/seaweedfs/seaweedfs => ./) so the ~1800 internal Go files
keep their upstream import paths with zero churn. Internal identifiers and
import paths are intentionally NOT renamed.
- CLI rebrand: the binary is built as `s3` (was `weed`); root usage, per-command
help/usage/flag strings, shell autocomplete program name, and the product name
in CLI output now read "Hanzo S3" / `s3`. Users never see `weed`.
(e.g. `s3 server`, `s3 filer`, `s3 master`, `s3 volume`, `s3 s3`, `s3 mount`.)
- Build: `make` (or `go build -o s3 ./weed`) builds the `s3` binary green;
`cmd/weed-db` and `cmd/weed-sql` also build; `go vet ./weed/command/` clean.
- README/LLM.md rewritten for Hanzo S3; AGENTS.md/CLAUDE.md symlinks preserved.
- Dropped a 33MB prebuilt Mach-O `stress` binary upstream had committed; `.gitignore`
updated to ignore the `s3` build output.
125 lines
6.0 KiB
Java
125 lines
6.0 KiB
Java
package tools;
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import io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient;
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import io.confluent.kafka.schemaregistry.client.SchemaRegistryClient;
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import org.apache.avro.Schema;
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import org.apache.avro.SchemaBuilder;
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public class SchemaRegistryTest {
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private static final String SCHEMA_REGISTRY_URL = "http://localhost:8081";
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public static void main(String[] args) {
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System.out.println("================================================================================");
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System.out.println("Schema Registry Test - Verifying In-Memory Read Optimization");
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System.out.println("================================================================================\n");
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SchemaRegistryClient schemaRegistry = new CachedSchemaRegistryClient(SCHEMA_REGISTRY_URL, 100);
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boolean allTestsPassed = true;
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try {
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// Test 1: Register first schema
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System.out.println("Test 1: Registering first schema (user-value)...");
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Schema userValueSchema = SchemaBuilder
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.record("User").fields()
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.requiredString("name")
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.requiredInt("age")
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.endRecord();
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long startTime = System.currentTimeMillis();
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int schema1Id = schemaRegistry.register("user-value", userValueSchema);
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long elapsedTime = System.currentTimeMillis() - startTime;
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System.out.println("✓ SUCCESS: Schema registered with ID: " + schema1Id + " (took " + elapsedTime + "ms)");
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// Test 2: Register second schema immediately (tests read-after-write)
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System.out.println("\nTest 2: Registering second schema immediately (user-key)...");
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Schema userKeySchema = SchemaBuilder
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.record("UserKey").fields()
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.requiredString("userId")
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.endRecord();
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startTime = System.currentTimeMillis();
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int schema2Id = schemaRegistry.register("user-key", userKeySchema);
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elapsedTime = System.currentTimeMillis() - startTime;
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System.out.println("✓ SUCCESS: Schema registered with ID: " + schema2Id + " (took " + elapsedTime + "ms)");
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// Test 3: Rapid fire registrations (tests concurrent writes)
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System.out.println("\nTest 3: Rapid fire registrations (10 schemas in parallel)...");
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startTime = System.currentTimeMillis();
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Thread[] threads = new Thread[10];
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final boolean[] results = new boolean[10];
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for (int i = 0; i < 10; i++) {
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final int index = i;
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threads[i] = new Thread(() -> {
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try {
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Schema schema = SchemaBuilder
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.record("Test" + index).fields()
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.requiredString("field" + index)
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.endRecord();
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schemaRegistry.register("test-" + index + "-value", schema);
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results[index] = true;
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} catch (Exception e) {
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System.err.println("✗ ERROR in thread " + index + ": " + e.getMessage());
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results[index] = false;
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}
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});
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threads[i].start();
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}
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for (Thread thread : threads) {
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thread.join();
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}
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elapsedTime = System.currentTimeMillis() - startTime;
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int successCount = 0;
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for (boolean result : results) {
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if (result) successCount++;
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}
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if (successCount == 10) {
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System.out.println("✓ SUCCESS: All 10 schemas registered (took " + elapsedTime + "ms total, ~" + (elapsedTime / 10) + "ms per schema)");
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} else {
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System.out.println("✗ PARTIAL FAILURE: Only " + successCount + "/10 schemas registered");
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allTestsPassed = false;
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}
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// Test 4: Verify we can retrieve all schemas
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System.out.println("\nTest 4: Verifying all schemas are retrievable...");
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startTime = System.currentTimeMillis();
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Schema retrieved1 = schemaRegistry.getById(schema1Id);
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Schema retrieved2 = schemaRegistry.getById(schema2Id);
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elapsedTime = System.currentTimeMillis() - startTime;
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if (retrieved1.equals(userValueSchema) && retrieved2.equals(userKeySchema)) {
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System.out.println("✓ SUCCESS: All schemas retrieved correctly (took " + elapsedTime + "ms)");
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} else {
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System.out.println("✗ FAILURE: Schema mismatch");
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allTestsPassed = false;
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}
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// Summary
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System.out.println("\n===============================================================================");
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if (allTestsPassed) {
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System.out.println("✓ ALL TESTS PASSED!");
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System.out.println("===============================================================================");
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System.out.println("\nOptimization verified:");
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System.out.println("- ForceFlush is NO LONGER NEEDED");
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System.out.println("- Subscribers read from in-memory buffer using IsOffsetInMemory()");
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System.out.println("- Per-subscriber notification channels provide instant wake-up");
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System.out.println("- True concurrent writes without serialization");
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System.exit(0);
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} else {
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System.out.println("✗ SOME TESTS FAILED");
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System.out.println("===============================================================================");
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System.exit(1);
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}
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} catch (Exception e) {
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System.err.println("\n✗ FATAL ERROR: " + e.getMessage());
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e.printStackTrace();
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System.exit(1);
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}
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}
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}
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