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chore(docs): update generated documentation #3025

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2 changes: 1 addition & 1 deletion v2/googlecloud-to-googlecloud/README_Stream_GCS_Text_to_BigQuery_Flex.md
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Expand Up @@ -41,7 +41,7 @@ on [Metadata Annotations](https://github.com/GoogleCloudPlatform/DataflowTemplat

* **outputDeadletterTable**: Table for messages that failed to reach the output table. If a table doesn't exist, it is created during pipeline execution. If not specified, `<outputTableSpec>_error_records` is used. For example, `<PROJECT_ID>:<DATASET_NAME>.<TABLE_NAME>`.
* **useStorageWriteApiAtLeastOnce**: This parameter takes effect only if `Use BigQuery Storage Write API` is enabled. If enabled the at-least-once semantics will be used for Storage Write API, otherwise exactly-once semantics will be used. Defaults to: false.
* **useStorageWriteApi**: If true, the pipeline uses the BigQuery Storage Write API (https://cloud.google.com/bigquery/docs/write-api). The default value is `false`. For more information, see Using the Storage Write API (https://beam.apache.org/documentation/io/built-in/google-bigquery/#storage-write-api).
* **useStorageWriteApi**: If `true`, the pipeline uses the BigQuery Storage Write API (https://cloud.google.com/bigquery/docs/write-api). The default value is `false`. For more information, see Using the Storage Write API (https://beam.apache.org/documentation/io/built-in/google-bigquery/#storage-write-api).
* **numStorageWriteApiStreams**: When using the Storage Write API, specifies the number of write streams. If `useStorageWriteApi` is `true` and `useStorageWriteApiAtLeastOnce` is `false`, then you must set this parameter. Defaults to: 0.
* **storageWriteApiTriggeringFrequencySec**: When using the Storage Write API, specifies the triggering frequency, in seconds. If `useStorageWriteApi` is `true` and `useStorageWriteApiAtLeastOnce` is `false`, then you must set this parameter.
* **pythonExternalTextTransformGcsPath**: The Cloud Storage path pattern for the Python code containing your user-defined functions. For example, `gs://your-bucket/your-function.py`.
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2 changes: 1 addition & 1 deletion v2/googlecloud-to-googlecloud/README_Stream_GCS_Text_to_BigQuery_Xlang.md
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Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ on [Metadata Annotations](https://github.com/GoogleCloudPlatform/DataflowTemplat

* **outputDeadletterTable**: Table for messages that failed to reach the output table. If a table doesn't exist, it is created during pipeline execution. If not specified, `<outputTableSpec>_error_records` is used. For example, `<PROJECT_ID>:<DATASET_NAME>.<TABLE_NAME>`.
* **useStorageWriteApiAtLeastOnce**: This parameter takes effect only if `Use BigQuery Storage Write API` is enabled. If enabled the at-least-once semantics will be used for Storage Write API, otherwise exactly-once semantics will be used. Defaults to: false.
* **useStorageWriteApi**: If true, the pipeline uses the BigQuery Storage Write API (https://cloud.google.com/bigquery/docs/write-api). The default value is `false`. For more information, see Using the Storage Write API (https://beam.apache.org/documentation/io/built-in/google-bigquery/#storage-write-api).
* **useStorageWriteApi**: If `true`, the pipeline uses the BigQuery Storage Write API (https://cloud.google.com/bigquery/docs/write-api). The default value is `false`. For more information, see Using the Storage Write API (https://beam.apache.org/documentation/io/built-in/google-bigquery/#storage-write-api).
* **numStorageWriteApiStreams**: When using the Storage Write API, specifies the number of write streams. If `useStorageWriteApi` is `true` and `useStorageWriteApiAtLeastOnce` is `false`, then you must set this parameter. Defaults to: 0.
* **storageWriteApiTriggeringFrequencySec**: When using the Storage Write API, specifies the triggering frequency, in seconds. If `useStorageWriteApi` is `true` and `useStorageWriteApiAtLeastOnce` is `false`, then you must set this parameter.
* **pythonExternalTextTransformGcsPath**: The Cloud Storage path pattern for the Python code containing your user-defined functions. For example, `gs://your-bucket/your-function.py`.
Expand Down
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