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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.
69 lines
3.1 KiB
Java
69 lines
3.1 KiB
Java
import org.apache.kafka.clients.producer.KafkaProducer;
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import org.apache.kafka.clients.producer.ProducerConfig;
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import org.apache.kafka.clients.producer.ProducerRecord;
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import org.apache.kafka.clients.producer.RecordMetadata;
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import org.apache.kafka.common.serialization.StringSerializer;
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import java.util.Properties;
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import java.util.concurrent.Future;
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public class JavaProducerTest {
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public static void main(String[] args) {
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String bootstrapServers = args.length > 0 ? args[0] : "localhost:9093";
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String topicName = args.length > 1 ? args[1] : "test-topic";
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System.out.println("Testing Kafka Producer with broker: " + bootstrapServers);
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System.out.println(" Topic: " + topicName);
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Properties props = new Properties();
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props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
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props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
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props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
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props.put(ProducerConfig.CLIENT_ID_CONFIG, "java-producer-test");
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props.put(ProducerConfig.ACKS_CONFIG, "1");
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props.put(ProducerConfig.RETRIES_CONFIG, 0);
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props.put(ProducerConfig.MAX_BLOCK_MS_CONFIG, 10000);
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System.out.println("Creating Producer with config:");
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props.forEach((k, v) -> System.out.println(" " + k + " = " + v));
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try (KafkaProducer<String, String> producer = new KafkaProducer<>(props)) {
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System.out.println("Producer created successfully");
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// Try to send a test message
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System.out.println("\n=== Test: Send Message ===");
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try {
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ProducerRecord<String, String> record = new ProducerRecord<>(topicName, "key1", "value1");
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System.out.println("Sending record to topic: " + topicName);
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Future<RecordMetadata> future = producer.send(record);
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RecordMetadata metadata = future.get(); // This will block and wait for response
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System.out.println("Message sent successfully!");
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System.out.println(" Topic: " + metadata.topic());
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System.out.println(" Partition: " + metadata.partition());
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System.out.println(" Offset: " + metadata.offset());
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} catch (Exception e) {
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System.err.println("Send failed: " + e.getMessage());
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e.printStackTrace();
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// Print cause chain
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Throwable cause = e.getCause();
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int depth = 1;
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while (cause != null && depth < 5) {
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System.err.println(
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" Cause " + depth + ": " + cause.getClass().getName() + ": " + cause.getMessage());
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cause = cause.getCause();
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depth++;
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}
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}
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System.out.println("\nTest completed!");
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} catch (Exception e) {
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System.err.println("Producer creation or operation failed: " + 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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