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yoshi-automationmiguelvelezsa
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feat(dataproc): update the API
#### dataproc:v1 The following keys were added: - schemas.AnalyzeBatchRequest.properties.requestorId.deprecated The following keys were changed: - schemas.PySparkJob.properties.archiveUris.description
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discovery/dataproc-v1.json

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@@ -5022,7 +5022,7 @@
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}
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}
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},
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"revision": "20251003",
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"revision": "20251021",
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"rootUrl": "https://dataproc.googleapis.com/",
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"schemas": {
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"AcceleratorConfig": {
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"type": "string"
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},
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"requestorId": {
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"deprecated": true,
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"description": "Optional. The requestor ID is used to identify if the request comes from a GCA investigation or the old Ask Gemini Experience. ",
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"type": "string"
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}
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"id": "PySparkJob",
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"properties": {
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"archiveUris": {
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"description": "Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.",
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"description": "Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.Note: Spark applications must be deployed in cluster mode (https://spark.apache.org/docs/latest/cluster-overview.html) for correct environment propagation.",
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"items": {
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"type": "string"
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},

src/apis/dataproc/v1.ts

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@@ -2733,7 +2733,7 @@ export namespace dataproc_v1 {
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*/
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export interface Schema$PySparkJob {
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/**
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* Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.
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* Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.Note: Spark applications must be deployed in cluster mode (https://spark.apache.org/docs/latest/cluster-overview.html) for correct environment propagation.
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*/
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archiveUris?: string[] | null;
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/**

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