gemini-code-assist[bot] commented on code in PR #37594: URL: https://github.com/apache/beam/pull/37594#discussion_r2854352440
########## sdks/python/apache_beam/yaml/examples/transforms/io/bigquery_write.yaml: ########## @@ -0,0 +1,59 @@ +# coding=utf-8 +# +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You 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 pipeline demonstrates a simple write to BigQuery using Dynamic Destinations +# (see https://cloud.google.com/dataflow/docs/guides/managed-io#dynamic-destinations). +# +# Prerequisites: +# - A GCP project +# - A BigQuery dataset +# - Google Cloud credentials set up +# +# Usage: +# python -m apache_beam.yaml.main --yaml_pipeline_file=<path_to_bigquery_write.yaml> \ +# --project=<project_id> \ +# --temp_location=gs://<bucket_name>/temp + +pipeline: + type: chain + transforms: + - type: Create + name: CreateSampleData + config: + elements: + - {id: 1, name: "Alice", country: "CN"} + - {id: 2, name: "Bob", country: "UK"} + - {id: 3, name: "Charlie", country: "US"} + - type: WriteToBigQuery + name: WriteToTable + config: + table: "<project_id>:<dataset_id>.users_{country}" + create_disposition: CREATE_IF_NEEDED + write_disposition: WRITE_APPEND + num_streams: 1 Review Comment:  The `num_streams` parameter is not a valid configuration for the `WriteToBigQuery` transform in the Python SDK. This will cause a `TypeError` when the pipeline is run because the underlying transform does not accept this argument. For a batch pipeline like this one, the default write method is `FILE_LOADS`, which does not have a `num_streams` parameter. If a different write method like `STORAGE_WRITE_API` was intended, it should be specified along with its corresponding parameter (e.g., `num_storage_api_streams`). For this example to work correctly, this invalid parameter should be removed. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
