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feat(bigquery): update the api
#### bigquery:v2 The following keys were added: - schemas.JobStatistics2.properties.transferredBytes (Total Keys: 2)
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docs/dyn/bigquery_v2.jobs.html

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&quot;totalBytesProcessedAccuracy&quot;: &quot;A String&quot;, # [Output only] For dry-run jobs, totalBytesProcessed is an estimate and this field specifies the accuracy of the estimate. Possible values can be: UNKNOWN: accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND: estimate is lower bound of what the query would cost. UPPER_BOUND: estimate is upper bound of what the query would cost.
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&quot;totalPartitionsProcessed&quot;: &quot;A String&quot;, # [Output only] Total number of partitions processed from all partitioned tables referenced in the job.
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&quot;totalSlotMs&quot;: &quot;A String&quot;, # [Output only] Slot-milliseconds for the job.
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&quot;transferredBytes&quot;: &quot;A String&quot;, # [Output-only] Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).
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&quot;undeclaredQueryParameters&quot;: [ # Standard SQL only: list of undeclared query parameters detected during a dry run validation.
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{
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&quot;name&quot;: &quot;A String&quot;, # [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
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&quot;totalBytesProcessedAccuracy&quot;: &quot;A String&quot;, # [Output only] For dry-run jobs, totalBytesProcessed is an estimate and this field specifies the accuracy of the estimate. Possible values can be: UNKNOWN: accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND: estimate is lower bound of what the query would cost. UPPER_BOUND: estimate is upper bound of what the query would cost.
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&quot;totalPartitionsProcessed&quot;: &quot;A String&quot;, # [Output only] Total number of partitions processed from all partitioned tables referenced in the job.
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&quot;totalSlotMs&quot;: &quot;A String&quot;, # [Output only] Slot-milliseconds for the job.
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&quot;transferredBytes&quot;: &quot;A String&quot;, # [Output-only] Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).
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&quot;undeclaredQueryParameters&quot;: [ # Standard SQL only: list of undeclared query parameters detected during a dry run validation.
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{
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&quot;name&quot;: &quot;A String&quot;, # [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
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&quot;totalBytesProcessedAccuracy&quot;: &quot;A String&quot;, # [Output only] For dry-run jobs, totalBytesProcessed is an estimate and this field specifies the accuracy of the estimate. Possible values can be: UNKNOWN: accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND: estimate is lower bound of what the query would cost. UPPER_BOUND: estimate is upper bound of what the query would cost.
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&quot;totalPartitionsProcessed&quot;: &quot;A String&quot;, # [Output only] Total number of partitions processed from all partitioned tables referenced in the job.
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&quot;totalSlotMs&quot;: &quot;A String&quot;, # [Output only] Slot-milliseconds for the job.
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&quot;transferredBytes&quot;: &quot;A String&quot;, # [Output-only] Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).
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&quot;undeclaredQueryParameters&quot;: [ # Standard SQL only: list of undeclared query parameters detected during a dry run validation.
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{
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&quot;name&quot;: &quot;A String&quot;, # [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
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&quot;totalBytesProcessedAccuracy&quot;: &quot;A String&quot;, # [Output only] For dry-run jobs, totalBytesProcessed is an estimate and this field specifies the accuracy of the estimate. Possible values can be: UNKNOWN: accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND: estimate is lower bound of what the query would cost. UPPER_BOUND: estimate is upper bound of what the query would cost.
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&quot;totalPartitionsProcessed&quot;: &quot;A String&quot;, # [Output only] Total number of partitions processed from all partitioned tables referenced in the job.
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&quot;totalSlotMs&quot;: &quot;A String&quot;, # [Output only] Slot-milliseconds for the job.
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&quot;transferredBytes&quot;: &quot;A String&quot;, # [Output-only] Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).
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&quot;undeclaredQueryParameters&quot;: [ # Standard SQL only: list of undeclared query parameters detected during a dry run validation.
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{
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&quot;name&quot;: &quot;A String&quot;, # [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
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&quot;totalBytesProcessedAccuracy&quot;: &quot;A String&quot;, # [Output only] For dry-run jobs, totalBytesProcessed is an estimate and this field specifies the accuracy of the estimate. Possible values can be: UNKNOWN: accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND: estimate is lower bound of what the query would cost. UPPER_BOUND: estimate is upper bound of what the query would cost.
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&quot;totalPartitionsProcessed&quot;: &quot;A String&quot;, # [Output only] Total number of partitions processed from all partitioned tables referenced in the job.
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&quot;totalSlotMs&quot;: &quot;A String&quot;, # [Output only] Slot-milliseconds for the job.
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&quot;transferredBytes&quot;: &quot;A String&quot;, # [Output-only] Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).
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&quot;undeclaredQueryParameters&quot;: [ # Standard SQL only: list of undeclared query parameters detected during a dry run validation.
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{
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&quot;name&quot;: &quot;A String&quot;, # [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.

docs/dyn/bigquery_v2.models.html

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&quot;warmStart&quot;: True or False, # Whether to train a model from the last checkpoint.
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},
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&quot;trainingStartTime&quot;: &quot;A String&quot;, # Output only. The start time of this training run, in milliseconds since epoch.
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&quot;vertexAiModelId&quot;: &quot;A String&quot;, # The model id in Vertex AI Model Registry for this training run
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&quot;vertexAiModelVersion&quot;: &quot;A String&quot;, # Output only. The model version in Vertex AI Model Registry for this training run
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&quot;vertexAiModelId&quot;: &quot;A String&quot;, # The model id in the [Vertex AI Model Registry](https://cloud.google.com/vertex-ai/docs/model-registry/introduction) for this training run.
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&quot;vertexAiModelVersion&quot;: &quot;A String&quot;, # Output only. The model version in the [Vertex AI Model Registry](https://cloud.google.com/vertex-ai/docs/model-registry/introduction) for this training run.
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},
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],
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}</pre>
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&quot;warmStart&quot;: True or False, # Whether to train a model from the last checkpoint.
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},
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&quot;trainingStartTime&quot;: &quot;A String&quot;, # Output only. The start time of this training run, in milliseconds since epoch.
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&quot;vertexAiModelId&quot;: &quot;A String&quot;, # The model id in Vertex AI Model Registry for this training run
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&quot;vertexAiModelVersion&quot;: &quot;A String&quot;, # Output only. The model version in Vertex AI Model Registry for this training run
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&quot;vertexAiModelId&quot;: &quot;A String&quot;, # The model id in the [Vertex AI Model Registry](https://cloud.google.com/vertex-ai/docs/model-registry/introduction) for this training run.
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&quot;vertexAiModelVersion&quot;: &quot;A String&quot;, # Output only. The model version in the [Vertex AI Model Registry](https://cloud.google.com/vertex-ai/docs/model-registry/introduction) for this training run.
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},
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],
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},
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&quot;warmStart&quot;: True or False, # Whether to train a model from the last checkpoint.
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},
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&quot;trainingStartTime&quot;: &quot;A String&quot;, # Output only. The start time of this training run, in milliseconds since epoch.
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&quot;vertexAiModelId&quot;: &quot;A String&quot;, # The model id in Vertex AI Model Registry for this training run
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&quot;vertexAiModelVersion&quot;: &quot;A String&quot;, # Output only. The model version in Vertex AI Model Registry for this training run
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&quot;vertexAiModelId&quot;: &quot;A String&quot;, # The model id in the [Vertex AI Model Registry](https://cloud.google.com/vertex-ai/docs/model-registry/introduction) for this training run.
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&quot;vertexAiModelVersion&quot;: &quot;A String&quot;, # Output only. The model version in the [Vertex AI Model Registry](https://cloud.google.com/vertex-ai/docs/model-registry/introduction) for this training run.
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},
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],
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}
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&quot;warmStart&quot;: True or False, # Whether to train a model from the last checkpoint.
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},
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&quot;trainingStartTime&quot;: &quot;A String&quot;, # Output only. The start time of this training run, in milliseconds since epoch.
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&quot;vertexAiModelId&quot;: &quot;A String&quot;, # The model id in Vertex AI Model Registry for this training run
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&quot;vertexAiModelVersion&quot;: &quot;A String&quot;, # Output only. The model version in Vertex AI Model Registry for this training run
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&quot;vertexAiModelId&quot;: &quot;A String&quot;, # The model id in the [Vertex AI Model Registry](https://cloud.google.com/vertex-ai/docs/model-registry/introduction) for this training run.
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&quot;vertexAiModelVersion&quot;: &quot;A String&quot;, # Output only. The model version in the [Vertex AI Model Registry](https://cloud.google.com/vertex-ai/docs/model-registry/introduction) for this training run.
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},
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],
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}</pre>

googleapiclient/discovery_cache/documents/bigquery.v2.json

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}
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}
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},
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"revision": "20220913",
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"revision": "20220924",
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"rootUrl": "https://bigquery.googleapis.com/",
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"schemas": {
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"AggregateClassificationMetrics": {
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"format": "int64",
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"type": "string"
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},
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"transferredBytes": {
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"description": "[Output-only] Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).",
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"format": "int64",
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"type": "string"
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},
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"undeclaredQueryParameters": {
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"description": "Standard SQL only: list of undeclared query parameters detected during a dry run validation.",
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"items": {
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"type": "string"
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},
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"vertexAiModelId": {
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"description": "The model id in Vertex AI Model Registry for this training run",
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"description": "The model id in the [Vertex AI Model Registry](https://cloud.google.com/vertex-ai/docs/model-registry/introduction) for this training run.",
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"type": "string"
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},
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"vertexAiModelVersion": {
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"description": "Output only. The model version in Vertex AI Model Registry for this training run",
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"description": "Output only. The model version in the [Vertex AI Model Registry](https://cloud.google.com/vertex-ai/docs/model-registry/introduction) for this training run.",
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"readOnly": true,
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"type": "string"
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}

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