mirror of
https://github.com/hanzoai/s3.git
synced 2026-11-02 13:11:24 +00:00
zooqueen
dd74d3e6d6
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.
83 lines
3.7 KiB
Java
83 lines
3.7 KiB
Java
import org.apache.kafka.clients.consumer.ConsumerConfig;
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import org.apache.kafka.clients.consumer.ConsumerRecord;
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import org.apache.kafka.clients.consumer.ConsumerRecords;
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import org.apache.kafka.clients.consumer.KafkaConsumer;
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import org.apache.kafka.common.serialization.StringDeserializer;
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import java.time.Duration;
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import java.util.Collections;
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import java.util.Properties;
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public class JavaKafkaConsumer {
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public static void main(String[] args) {
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if (args.length < 2) {
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System.err.println("Usage: java JavaKafkaConsumer <broker> <topic>");
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System.exit(1);
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}
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String broker = args[0];
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String topic = args[1];
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System.out.println("Connecting to Kafka broker: " + broker);
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System.out.println("Topic: " + topic);
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Properties props = new Properties();
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props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, broker);
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props.put(ConsumerConfig.GROUP_ID_CONFIG, "java-test-group");
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props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
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props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
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props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
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props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "true");
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props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, "10");
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props.put(ConsumerConfig.FETCH_MIN_BYTES_CONFIG, "1");
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props.put(ConsumerConfig.FETCH_MAX_WAIT_MS_CONFIG, "1000");
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KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
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consumer.subscribe(Collections.singletonList(topic));
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System.out.println("Starting to consume messages...");
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int messageCount = 0;
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int errorCount = 0;
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long startTime = System.currentTimeMillis();
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try {
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while (true) {
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try {
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ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(1000));
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for (ConsumerRecord<String, String> record : records) {
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messageCount++;
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System.out.printf("Message #%d: topic=%s partition=%d offset=%d key=%s value=%s%n",
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messageCount, record.topic(), record.partition(), record.offset(),
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record.key(), record.value());
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}
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// Stop after 100 messages or 60 seconds
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if (messageCount >= 100 || (System.currentTimeMillis() - startTime) > 60000) {
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long duration = System.currentTimeMillis() - startTime;
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System.out.printf("%nSuccessfully consumed %d messages in %dms%n", messageCount, duration);
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System.out.printf("Success rate: %.1f%% (%d/%d including errors)%n",
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(double) messageCount / (messageCount + errorCount) * 100, messageCount,
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messageCount + errorCount);
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break;
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}
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} catch (Exception e) {
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errorCount++;
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System.err.printf("Error during poll #%d: %s%n", errorCount, e.getMessage());
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e.printStackTrace();
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// Stop after 10 consecutive errors or 60 seconds
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if (errorCount > 10 || (System.currentTimeMillis() - startTime) > 60000) {
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long duration = System.currentTimeMillis() - startTime;
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System.err.printf("%nStopping after %d errors in %dms%n", errorCount, duration);
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break;
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}
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}
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}
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} finally {
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consumer.close();
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}
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}
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}
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