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publish_with_batch_settings_example.py
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publish_with_batch_settings_example.py
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#!/usr/bin/env python
# Copyright 2020 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""This application demonstrates how to publish messages with batch settings with
the Pub/Sub Lite API. For more information, see the root level README.md and the
documentation at https://cloud.google.com/pubsub/lite/docs/publishing.
"""
import argparse
def publish_with_batch_settings(
project_number, cloud_region, zone_id, topic_id, num_messages
):
# [START pubsublite_publish_batch]
from google.cloud.pubsub_v1.types import BatchSettings
from google.cloud.pubsublite.cloudpubsub import PublisherClient
from google.cloud.pubsublite.types import (
CloudRegion,
CloudZone,
MessageMetadata,
TopicPath,
)
# TODO(developer):
# project_number = 1122334455
# cloud_region = "us-central1"
# zone_id = "a"
# topic_id = "your-topic-id"
# num_messages = 100
location = CloudZone(CloudRegion(cloud_region), zone_id)
topic_path = TopicPath(project_number, location, topic_id)
batch_setttings = BatchSettings(
# 2 MiB. Default to 3 MiB. Must be less than 4 MiB gRPC's per-message limit.
max_bytes=2 * 1024 * 1024,
# 100 ms. Default to 50 ms.
max_latency=0.1,
# Default to 1000.
max_messages=100,
)
# PublisherClient() must be used in a `with` block or have __enter__() called before use.
with PublisherClient(
per_partition_batching_settings=batch_setttings
) as publisher_client:
for message in range(num_messages):
data = f"{message}"
api_future = publisher_client.publish(topic_path, data.encode("utf-8"))
# result() blocks. To resolve API futures asynchronously, use add_done_callback().
message_id = api_future.result()
message_metadata = MessageMetadata.decode(message_id)
print(
f"Published {data} to partition {message_metadata.partition.value} and offset {message_metadata.cursor.offset}."
)
print(
f"Finished publishing {num_messages} messages with batch settings to {str(topic_path)}."
)
# [END pubsublite_publish_batch]
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter,
)
parser.add_argument("project_number", help="Your Google Cloud Project Number")
parser.add_argument("cloud_region", help="Your Cloud Region, e.g. 'us-central1'")
parser.add_argument("zone_id", help="Your Zone ID, e.g. 'a'")
parser.add_argument("topic_id", help="Your topic ID")
parser.add_argument("num_messages", type=int, help="Number of messages to publish")
args = parser.parse_args()
publish_with_batch_settings(
args.project_number,
args.cloud_region,
args.zone_id,
args.topic_id,
args.num_messages,
)