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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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gwaramadze and daniil-quix authored Nov 14, 2024
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202 changes: 202 additions & 0 deletions LICENSES/LICENSE.google-cloud-pubsub
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1 change: 1 addition & 0 deletions conda/meta.yaml
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Expand Up @@ -24,6 +24,7 @@ requirements:
- jsonschema >=4.3.0
- fastavro >=1.8,<2.0
- jsonlines >=4,<5
- google-cloud-pubsub >=2.23.1,<3

test:
imports:
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13 changes: 8 additions & 5 deletions docs/build/build.py
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Expand Up @@ -111,21 +111,24 @@
"quixstreams.context",
]
},
# Order: base, core, community
"sinks.md": {
k: None
for k in [
"quixstreams.sinks.base.sink",
"quixstreams.sinks.base.batch",
"quixstreams.sinks.base.exceptions",
"quixstreams.sinks.core.influxdb3",
"quixstreams.sinks.core.csv",
"quixstreams.sinks.community.iceberg",
"quixstreams.sinks.community.file.sink",
"quixstreams.sinks.community.file.formats.base",
"quixstreams.sinks.community.file.formats.json",
"quixstreams.sinks.community.file.formats.parquet",
"quixstreams.sinks.core.influxdb3",
"quixstreams.sinks.core.csv",
"quixstreams.sinks.base.sink",
"quixstreams.sinks.base.exceptions",
"quixstreams.sinks.base.batch",
"quixstreams.sinks.community.pubsub",
]
},
# Order: base, core, community
"sources.md": {
k: None
for k in [
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104 changes: 104 additions & 0 deletions docs/connectors/sinks/google-cloud-pubsub-sink.md
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# Google Cloud Pub/Sub Sink

!!! info

This is a **Community** connector. Test it before using in production.

To learn more about differences between Core and Community connectors, see the [Community and Core Connectors](../community-and-core.md) page.

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.

## Prerequisites

To use the Pub/Sub sink, you need to install the required dependencies:

```bash
pip install quixstreams[pubsub]
```

## How the Pub/Sub Sink Works

`PubSubSink` is a streaming sink that publishes messages to Pub/Sub topics. For each message:

- 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

## How To Use Pub/Sub Sink

Create an instance of `PubSubSink` and pass it to the `StreamingDataFrame.sink()` method:

```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

app = Application(broker_address="localhost:9092")
topic = app.topic("topic-name")

# Read the service account credentials in JSON format from some environment variable.
service_account_json = os.environ["PUBSUB_SERVICE_ACCOUNT_JSON"]

# 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)),
)
)

sdf = app.dataframe(topic=topic)
sdf.sink(pubsub_sink)

if __name__ == "__main__":
app.run()
```

### Configuration Options

- `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`

## Error Handling and Delivery Guarantees

The sink provides **at-least-once** delivery guarantees, which means:

- 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

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.

## Testing locally

Rather than connect to Google Cloud, you can alternatively test your application using
a local "emulated" Pub/Sub host via docker:

1. DO NOT pass a `service_account_json` to `PubSubSource`, instead set environment variable:

`PUBSUB_EMULATOR_HOST=localhost:8085`

2. execute in terminal:

`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`
3 changes: 2 additions & 1 deletion mkdocs.yml
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Expand Up @@ -51,8 +51,9 @@ nav:
- 'connectors/sinks/README.md'
- Apache Iceberg Sink: connectors/sinks/apache-iceberg-sink.md
- CSV Sink: connectors/sinks/csv-sink.md
- InfluxDB v3 Sink: connectors/sinks/influxdb3-sink.md
- File Sink: connectors/sinks/file-sink.md
- Google Cloud Pub/Sub Sink: connectors/sinks/google-cloud-pubsub-sink.md
- InfluxDB v3 Sink: connectors/sinks/influxdb3-sink.md
- Creating a Custom Sink: connectors/sinks/custom-sinks.md
- Sources:
- 'connectors/sources/README.md'
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2 changes: 2 additions & 0 deletions pyproject.toml
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Expand Up @@ -32,13 +32,15 @@ all = [
"protobuf>=5.27.2,<6.0",
"influxdb3-python>=0.7,<1.0",
"pyiceberg[pyarrow,glue]>=0.7,<0.8",
"google-cloud-pubsub>=2.23.1,<3",
]

avro = ["fastavro>=1.8,<2.0"]
protobuf = ["protobuf>=5.27.2,<6.0"]
influxdb3 = ["influxdb3-python>=0.7,<1.0"]
iceberg = ["pyiceberg[pyarrow]>=0.7,<0.8"]
iceberg_aws = ["pyiceberg[pyarrow,glue]>=0.7,<0.8"]
pubsub = ["google-cloud-pubsub>=2.23.1,<3"]

[tool.setuptools.packages.find]
include = ["quixstreams*"]
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