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* Add google-cloud-pubsub to requirements * Add Google Cloud Pub/Sub Sink - bare minimal implementation * Pass key, timestamp and header to PubSub message as metadata attributes * PR fixes and other improvements * Reorder API Docs / Sinks API table of contents * docs * Pass service_acount_json * Correct docs * Add __all__ remove logging * Correct docs * Fix indentation in docs * More docs work * Update quixstreams/sinks/community/pubsub.py Co-authored-by: Daniil Gusev <[email protected]> * Edit local testing section --------- Co-authored-by: Daniil Gusev <[email protected]>
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# Google Cloud Pub/Sub Sink | ||
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!!! info | ||
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This is a **Community** connector. Test it before using in production. | ||
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To learn more about differences between Core and Community connectors, see the [Community and Core Connectors](../community-and-core.md) page. | ||
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This sink writes data to a Google Cloud Pub/Sub topic. The sink preserves the original Kafka message metadata including key, timestamp, offset, and headers. | ||
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## Prerequisites | ||
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To use the Pub/Sub sink, you need to install the required dependencies: | ||
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```bash | ||
pip install quixstreams[pubsub] | ||
``` | ||
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## How the Pub/Sub Sink Works | ||
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`PubSubSink` is a streaming sink that publishes messages to Pub/Sub topics. For each message: | ||
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- The value is serialized (defaults to JSON) | ||
- The key is converted to string | ||
- Additional metadata (timestamp, offset, headers) is included as attributes | ||
- Messages are published asynchronously | ||
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## How To Use Pub/Sub Sink | ||
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Create an instance of `PubSubSink` and pass it to the `StreamingDataFrame.sink()` method: | ||
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```python | ||
from google.api_core import retry | ||
from google.cloud.pubsub_v1.types import PublisherOptions | ||
from quixstreams import Application | ||
from quixstreams.sinks.community.pubsub import PubSubSink | ||
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app = Application(broker_address="localhost:9092") | ||
topic = app.topic("topic-name") | ||
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# Read the service account credentials in JSON format from some environment variable. | ||
service_account_json = os.environ["PUBSUB_SERVICE_ACCOUNT_JSON"] | ||
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# Configure the sink | ||
pubsub_sink = PubSubSink( | ||
project_id="<project ID>", | ||
topic_id="<topic ID>", | ||
# Optional: service account credentials as a JSON string | ||
service_account_json=service_account_json, | ||
# Optional: customize serialization and flush timeout | ||
value_serializer=json.dumps, | ||
key_serializer=str, | ||
flush_timeout=10, | ||
# Optional: Additional keyword arguments are passed to the PublisherClient | ||
publisher_options=PublisherOptions( | ||
# Configure publisher options to retry on any exception | ||
retry=retry.Retry(predicate=retry.if_exception_type(Exception)), | ||
) | ||
) | ||
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sdf = app.dataframe(topic=topic) | ||
sdf.sink(pubsub_sink) | ||
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if __name__ == "__main__": | ||
app.run() | ||
``` | ||
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### Configuration Options | ||
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- `project_id`: Your Google Cloud project ID | ||
- `topic_id`: The ID of the Pub/Sub topic | ||
- `service_account_json`: A JSON string containing service account credentials for authentication | ||
- `value_serializer`: Function to serialize message values (default: `json.dumps`) | ||
- `key_serializer`: Function to serialize message keys (default: `bytes.decode`) | ||
- `flush_timeout`: Maximum time in seconds to wait for pending publishes during flush (default: 5) | ||
- Additional keyword arguments are passed to the Pub/Sub `PublisherClient` | ||
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## Error Handling and Delivery Guarantees | ||
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The sink provides **at-least-once** delivery guarantees, which means: | ||
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- Messages are published asynchronously for better performance | ||
- During checkpointing, the sink waits for all pending publishes to complete | ||
- The wait time is controlled by `flush_timeout` parameter (defaults to 5 seconds) | ||
- If any messages fail to publish within the flush timeout, a `SinkBackpressureError` is raised | ||
- When `SinkBackpressureError` occurs: | ||
- The application will retry the entire batch from the last successful offset | ||
- Some messages that were successfully published in the failed batch may be published again | ||
- This ensures no messages are lost, but some might be delivered more than once | ||
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This behavior makes the sink reliable but means downstream systems should be prepared to handle duplicate messages. If your application requires exactly-once semantics, you'll need to implement deduplication logic in your consumer. | ||
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## Testing locally | ||
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Rather than connect to Google Cloud, you can alternatively test your application using | ||
a local "emulated" Pub/Sub host via docker: | ||
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1. DO NOT pass a `service_account_json` to `PubSubSource`, instead set environment variable: | ||
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`PUBSUB_EMULATOR_HOST=localhost:8085` | ||
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2. execute in terminal: | ||
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`docker run -d --name pubsub-emulator -p 8085:8085 gcr.io/google.com/cloudsdktool/google-cloud-cli:emulators gcloud beta emulators pubsub start --host-port=0.0.0.0:8085` |
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