From 9e87e6f70a79547bf1b6be9df2597b627faa4a5b Mon Sep 17 00:00:00 2001 From: Yoshi Automation Date: Tue, 31 Jan 2023 07:08:00 +0000 Subject: [PATCH] feat(retail): update the api #### retail:v2alpha The following keys were added: - resources.projects.resources.locations.resources.catalogs.resources.branches.resources.products.methods.delete.parameters.cascadeDelete (Total Keys: 2) --- ....locations.catalogs.branches.products.html | 2 +- ...cts.locations.catalogs.completionData.html | 2 +- ...retail_v2.projects.locations.catalogs.html | 20 +++++++++---------- ...rojects.locations.catalogs.userEvents.html | 2 +- ....locations.catalogs.branches.products.html | 7 ++++--- ...cts.locations.catalogs.completionData.html | 2 +- ...l_v2alpha.projects.locations.catalogs.html | 20 +++++++++---------- ...rojects.locations.catalogs.userEvents.html | 2 +- ....locations.catalogs.branches.products.html | 2 +- ...cts.locations.catalogs.completionData.html | 2 +- ...il_v2beta.projects.locations.catalogs.html | 20 +++++++++---------- ...rojects.locations.catalogs.userEvents.html | 2 +- .../discovery_cache/documents/retail.v2.json | 6 +++--- .../documents/retail.v2alpha.json | 11 +++++++--- .../documents/retail.v2beta.json | 6 +++--- 15 files changed, 56 insertions(+), 50 deletions(-) diff --git a/docs/dyn/retail_v2.projects.locations.catalogs.branches.products.html b/docs/dyn/retail_v2.projects.locations.catalogs.branches.products.html index d966a8dd2b2..4d8120d1d4e 100644 --- a/docs/dyn/retail_v2.projects.locations.catalogs.branches.products.html +++ b/docs/dyn/retail_v2.projects.locations.catalogs.branches.products.html @@ -814,7 +814,7 @@

Method Details

}, "inputConfig": { # The input config source for products. # Required. The desired input location of the data. "bigQuerySource": { # BigQuery source import data from. # BigQuery input source. - "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. + "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters. "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory. "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest. diff --git a/docs/dyn/retail_v2.projects.locations.catalogs.completionData.html b/docs/dyn/retail_v2.projects.locations.catalogs.completionData.html index 2d5efc8361f..17188f729f1 100644 --- a/docs/dyn/retail_v2.projects.locations.catalogs.completionData.html +++ b/docs/dyn/retail_v2.projects.locations.catalogs.completionData.html @@ -98,7 +98,7 @@

Method Details

{ # Request message for ImportCompletionData methods. "inputConfig": { # The input config source for completion data. # Required. The desired input location of the data. "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown. - "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. + "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters. "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory. "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest. diff --git a/docs/dyn/retail_v2.projects.locations.catalogs.html b/docs/dyn/retail_v2.projects.locations.catalogs.html index a40006f129f..a96cc7c7e0b 100644 --- a/docs/dyn/retail_v2.projects.locations.catalogs.html +++ b/docs/dyn/retail_v2.projects.locations.catalogs.html @@ -178,7 +178,7 @@

Method Details

Returns: An object of the form: - { # Response of the auto-complete query. + { # Response of the autocomplete query. "attributionToken": "A String", # A unique complete token. This should be included in the UserEvent.completion_detail for search events resulting from this completion, which enables accurate attribution of complete model performance. "completionResults": [ # Results of the matching suggestions. The result list is ordered and the first result is top suggestion. { # Resource that represents completion results. @@ -254,7 +254,7 @@

Method Details

{ # Catalog level autocomplete config for customers to customize autocomplete feature's settings. "allowlistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete allowlist phrases. "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown. - "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. + "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters. "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory. "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest. @@ -269,7 +269,7 @@

Method Details

"autoLearning": True or False, # If set to true, the auto learning function is enabled. Auto learning uses user data to generate suggestions using ML techniques. Default value is false. Only after enabling auto learning can users use `cloud-retail` data in CompleteQueryRequest. "denylistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete denylist phrases. "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown. - "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. + "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters. "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory. "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest. @@ -290,7 +290,7 @@

Method Details

"name": "A String", # Required. Immutable. Fully qualified name `projects/*/locations/*/catalogs/*/completionConfig` "suggestionsInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete suggestion phrases. "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown. - "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. + "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters. "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory. "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest. @@ -500,7 +500,7 @@

Method Details

{ # Catalog level autocomplete config for customers to customize autocomplete feature's settings. "allowlistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete allowlist phrases. "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown. - "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. + "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters. "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory. "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest. @@ -515,7 +515,7 @@

Method Details

"autoLearning": True or False, # If set to true, the auto learning function is enabled. Auto learning uses user data to generate suggestions using ML techniques. Default value is false. Only after enabling auto learning can users use `cloud-retail` data in CompleteQueryRequest. "denylistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete denylist phrases. "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown. - "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. + "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters. "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory. "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest. @@ -536,7 +536,7 @@

Method Details

"name": "A String", # Required. Immutable. Fully qualified name `projects/*/locations/*/catalogs/*/completionConfig` "suggestionsInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete suggestion phrases. "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown. - "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. + "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters. "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory. "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest. @@ -562,7 +562,7 @@

Method Details

{ # Catalog level autocomplete config for customers to customize autocomplete feature's settings. "allowlistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete allowlist phrases. "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown. - "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. + "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters. "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory. "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest. @@ -577,7 +577,7 @@

Method Details

"autoLearning": True or False, # If set to true, the auto learning function is enabled. Auto learning uses user data to generate suggestions using ML techniques. Default value is false. Only after enabling auto learning can users use `cloud-retail` data in CompleteQueryRequest. "denylistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete denylist phrases. "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown. - "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. + "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters. "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory. "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest. @@ -598,7 +598,7 @@

Method Details

"name": "A String", # Required. Immutable. Fully qualified name `projects/*/locations/*/catalogs/*/completionConfig` "suggestionsInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete suggestion phrases. "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown. - "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. + "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters. "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory. "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest. diff --git a/docs/dyn/retail_v2.projects.locations.catalogs.userEvents.html b/docs/dyn/retail_v2.projects.locations.catalogs.userEvents.html index 1d153f48889..487185d1d63 100644 --- a/docs/dyn/retail_v2.projects.locations.catalogs.userEvents.html +++ b/docs/dyn/retail_v2.projects.locations.catalogs.userEvents.html @@ -143,7 +143,7 @@

Method Details

}, "inputConfig": { # The input config source for user events. # Required. The desired input location of the data. "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. - "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. + "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line. "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters. "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory. "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest. diff --git a/docs/dyn/retail_v2alpha.projects.locations.catalogs.branches.products.html b/docs/dyn/retail_v2alpha.projects.locations.catalogs.branches.products.html index 273961ee815..72e9b274f7c 100644 --- a/docs/dyn/retail_v2alpha.projects.locations.catalogs.branches.products.html +++ b/docs/dyn/retail_v2alpha.projects.locations.catalogs.branches.products.html @@ -87,7 +87,7 @@

Instance Methods

create(parent, body=None, productId=None, x__xgafv=None)

Creates a Product.

- delete(name, x__xgafv=None)

+ delete(name, cascadeDelete=None, x__xgafv=None)

Deletes a Product.

get(name, x__xgafv=None)

@@ -605,11 +605,12 @@

Method Details

- delete(name, x__xgafv=None) + delete(name, cascadeDelete=None, x__xgafv=None) 
Deletes a Product.
 
 Args:
   name: string, Required. Full resource name of Product, such as `projects/*/locations/global/catalogs/default_catalog/branches/default_branch/products/some_product_id`. If the caller does not have permission to delete the Product, regardless of whether or not it exists, a PERMISSION_DENIED error is returned. If the Product to delete does not exist, a NOT_FOUND error is returned. The Product to delete can neither be a Product.Type.COLLECTION Product member nor a Product.Type.PRIMARY Product with more than one variants. Otherwise, an INVALID_ARGUMENT error is returned. All inventory information for the named Product will be deleted. (required)
+  cascadeDelete: boolean, This value only applies to the case when the target product is of type PRIMARY. When deleting a product of VARIANT/COLLECTION type, this value will be ignored. When set to true, the subsequent variant products will be deleted. When set to false, if the primary product has active variant products, an error will be returned.
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
@@ -817,7 +818,7 @@ 
Method Details

   },
   "inputConfig": { # The input config source for products. # Required. The desired input location of the data.
     "bigQuerySource": { # BigQuery source import data from. # BigQuery input source.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
diff --git a/docs/dyn/retail_v2alpha.projects.locations.catalogs.completionData.html b/docs/dyn/retail_v2alpha.projects.locations.catalogs.completionData.html
index 67dee53ba52..5a545aa8664 100644
--- a/docs/dyn/retail_v2alpha.projects.locations.catalogs.completionData.html
+++ b/docs/dyn/retail_v2alpha.projects.locations.catalogs.completionData.html
@@ -98,7 +98,7 @@ 
Method Details

 { # Request message for ImportCompletionData methods.
   "inputConfig": { # The input config source for completion data. # Required. The desired input location of the data.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
diff --git a/docs/dyn/retail_v2alpha.projects.locations.catalogs.html b/docs/dyn/retail_v2alpha.projects.locations.catalogs.html
index c08f0a54136..7935df3a24a 100644
--- a/docs/dyn/retail_v2alpha.projects.locations.catalogs.html
+++ b/docs/dyn/retail_v2alpha.projects.locations.catalogs.html
@@ -179,7 +179,7 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # Response of the auto-complete query.
+    { # Response of the autocomplete query.
   "attributeResults": { # A map of matched attribute suggestions. This field is only available for "cloud-retail" dataset. Current supported keys: * `brands` * `categories`
     "a_key": { # Resource that represents attribute results.
       "suggestions": [ # The list of suggestions for the attribute.
@@ -263,7 +263,7 @@ 
Method Details

     { # Catalog level autocomplete config for customers to customize autocomplete feature's settings.
   "allowlistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete allowlist phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -278,7 +278,7 @@ 
Method Details

   "autoLearning": True or False, # If set to true, the auto learning function is enabled. Auto learning uses user data to generate suggestions using ML techniques. Default value is false. Only after enabling auto learning can users use `cloud-retail` data in CompleteQueryRequest.
   "denylistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete denylist phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -299,7 +299,7 @@ 
Method Details

   "name": "A String", # Required. Immutable. Fully qualified name `projects/*/locations/*/catalogs/*/completionConfig`
   "suggestionsInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete suggestion phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -568,7 +568,7 @@ 
Method Details

 { # Catalog level autocomplete config for customers to customize autocomplete feature's settings.
   "allowlistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete allowlist phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -583,7 +583,7 @@ 
Method Details

   "autoLearning": True or False, # If set to true, the auto learning function is enabled. Auto learning uses user data to generate suggestions using ML techniques. Default value is false. Only after enabling auto learning can users use `cloud-retail` data in CompleteQueryRequest.
   "denylistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete denylist phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -604,7 +604,7 @@ 
Method Details

   "name": "A String", # Required. Immutable. Fully qualified name `projects/*/locations/*/catalogs/*/completionConfig`
   "suggestionsInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete suggestion phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -630,7 +630,7 @@ 
Method Details

     { # Catalog level autocomplete config for customers to customize autocomplete feature's settings.
   "allowlistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete allowlist phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -645,7 +645,7 @@ 
Method Details

   "autoLearning": True or False, # If set to true, the auto learning function is enabled. Auto learning uses user data to generate suggestions using ML techniques. Default value is false. Only after enabling auto learning can users use `cloud-retail` data in CompleteQueryRequest.
   "denylistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete denylist phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -666,7 +666,7 @@ 
Method Details

   "name": "A String", # Required. Immutable. Fully qualified name `projects/*/locations/*/catalogs/*/completionConfig`
   "suggestionsInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete suggestion phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
diff --git a/docs/dyn/retail_v2alpha.projects.locations.catalogs.userEvents.html b/docs/dyn/retail_v2alpha.projects.locations.catalogs.userEvents.html
index aa33fd734b7..d5c50c278a0 100644
--- a/docs/dyn/retail_v2alpha.projects.locations.catalogs.userEvents.html
+++ b/docs/dyn/retail_v2alpha.projects.locations.catalogs.userEvents.html
@@ -143,7 +143,7 @@ 
Method Details

   },
   "inputConfig": { # The input config source for user events. # Required. The desired input location of the data.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
diff --git a/docs/dyn/retail_v2beta.projects.locations.catalogs.branches.products.html b/docs/dyn/retail_v2beta.projects.locations.catalogs.branches.products.html
index 06d49f90a0b..863f269a814 100644
--- a/docs/dyn/retail_v2beta.projects.locations.catalogs.branches.products.html
+++ b/docs/dyn/retail_v2beta.projects.locations.catalogs.branches.products.html
@@ -814,7 +814,7 @@ 
Method Details

   },
   "inputConfig": { # The input config source for products. # Required. The desired input location of the data.
     "bigQuerySource": { # BigQuery source import data from. # BigQuery input source.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
diff --git a/docs/dyn/retail_v2beta.projects.locations.catalogs.completionData.html b/docs/dyn/retail_v2beta.projects.locations.catalogs.completionData.html
index 74f3db9434d..9efed8ac70e 100644
--- a/docs/dyn/retail_v2beta.projects.locations.catalogs.completionData.html
+++ b/docs/dyn/retail_v2beta.projects.locations.catalogs.completionData.html
@@ -98,7 +98,7 @@ 
Method Details

 { # Request message for ImportCompletionData methods.
   "inputConfig": { # The input config source for completion data. # Required. The desired input location of the data.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
diff --git a/docs/dyn/retail_v2beta.projects.locations.catalogs.html b/docs/dyn/retail_v2beta.projects.locations.catalogs.html
index 4937616a92b..8db51986d86 100644
--- a/docs/dyn/retail_v2beta.projects.locations.catalogs.html
+++ b/docs/dyn/retail_v2beta.projects.locations.catalogs.html
@@ -178,7 +178,7 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # Response of the auto-complete query.
+    { # Response of the autocomplete query.
   "attributionToken": "A String", # A unique complete token. This should be included in the UserEvent.completion_detail for search events resulting from this completion, which enables accurate attribution of complete model performance.
   "completionResults": [ # Results of the matching suggestions. The result list is ordered and the first result is top suggestion.
     { # Resource that represents completion results.
@@ -255,7 +255,7 @@ 
Method Details

     { # Catalog level autocomplete config for customers to customize autocomplete feature's settings.
   "allowlistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete allowlist phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -270,7 +270,7 @@ 
Method Details

   "autoLearning": True or False, # If set to true, the auto learning function is enabled. Auto learning uses user data to generate suggestions using ML techniques. Default value is false. Only after enabling auto learning can users use `cloud-retail` data in CompleteQueryRequest.
   "denylistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete denylist phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -291,7 +291,7 @@ 
Method Details

   "name": "A String", # Required. Immutable. Fully qualified name `projects/*/locations/*/catalogs/*/completionConfig`
   "suggestionsInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete suggestion phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -560,7 +560,7 @@ 
Method Details

 { # Catalog level autocomplete config for customers to customize autocomplete feature's settings.
   "allowlistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete allowlist phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -575,7 +575,7 @@ 
Method Details

   "autoLearning": True or False, # If set to true, the auto learning function is enabled. Auto learning uses user data to generate suggestions using ML techniques. Default value is false. Only after enabling auto learning can users use `cloud-retail` data in CompleteQueryRequest.
   "denylistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete denylist phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -596,7 +596,7 @@ 
Method Details

   "name": "A String", # Required. Immutable. Fully qualified name `projects/*/locations/*/catalogs/*/completionConfig`
   "suggestionsInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete suggestion phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -622,7 +622,7 @@ 
Method Details

     { # Catalog level autocomplete config for customers to customize autocomplete feature's settings.
   "allowlistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete allowlist phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -637,7 +637,7 @@ 
Method Details

   "autoLearning": True or False, # If set to true, the auto learning function is enabled. Auto learning uses user data to generate suggestions using ML techniques. Default value is false. Only after enabling auto learning can users use `cloud-retail` data in CompleteQueryRequest.
   "denylistInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete denylist phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
@@ -658,7 +658,7 @@ 
Method Details

   "name": "A String", # Required. Immutable. Fully qualified name `projects/*/locations/*/catalogs/*/completionConfig`
   "suggestionsInputConfig": { # The input config source for completion data. # Output only. The source data for the latest import of the autocomplete suggestion phrases.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source. Add the IAM permission "BigQuery Data Viewer" for cloud-retail-customer-data-access@system.gserviceaccount.com before using this feature otherwise an error is thrown.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
diff --git a/docs/dyn/retail_v2beta.projects.locations.catalogs.userEvents.html b/docs/dyn/retail_v2beta.projects.locations.catalogs.userEvents.html
index 6cff66aae92..3751031e284 100644
--- a/docs/dyn/retail_v2beta.projects.locations.catalogs.userEvents.html
+++ b/docs/dyn/retail_v2beta.projects.locations.catalogs.userEvents.html
@@ -143,7 +143,7 @@ 
Method Details

   },
   "inputConfig": { # The input config source for user events. # Required. The desired input location of the data.
     "bigQuerySource": { # BigQuery source import data from. # Required. BigQuery input source.
-      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
+      "dataSchema": "A String", # The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.
       "datasetId": "A String", # Required. The BigQuery data set to copy the data from with a length limit of 1,024 characters.
       "gcsStagingDir": "A String", # Intermediate Cloud Storage directory used for the import with a length limit of 2,000 characters. Can be specified if one wants to have the BigQuery export to a specific Cloud Storage directory.
       "partitionDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # BigQuery time partitioned table's _PARTITIONDATE in YYYY-MM-DD format. Only supported in ImportProductsRequest.
diff --git a/googleapiclient/discovery_cache/documents/retail.v2.json b/googleapiclient/discovery_cache/documents/retail.v2.json
index d29077a11e6..c59867e83dc 100644
--- a/googleapiclient/discovery_cache/documents/retail.v2.json
+++ b/googleapiclient/discovery_cache/documents/retail.v2.json
@@ -2001,7 +2001,7 @@
       }
     }
   },
-  "revision": "20230119",
+  "revision": "20230126",
   "rootUrl": "https://retail.googleapis.com/",
   "schemas": {
     "GoogleApiHttpBody": {
@@ -2314,7 +2314,7 @@
       "id": "GoogleCloudRetailV2BigQuerySource",
       "properties": {
         "dataSchema": {
-          "description": "The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.",
+          "description": "The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.",
           "type": "string"
         },
         "datasetId": {
@@ -2482,7 +2482,7 @@
       "type": "object"
     },
     "GoogleCloudRetailV2CompleteQueryResponse": {
-      "description": "Response of the auto-complete query.",
+      "description": "Response of the autocomplete query.",
       "id": "GoogleCloudRetailV2CompleteQueryResponse",
       "properties": {
         "attributionToken": {
diff --git a/googleapiclient/discovery_cache/documents/retail.v2alpha.json b/googleapiclient/discovery_cache/documents/retail.v2alpha.json
index 3ea122b5027..b26e747c0d0 100644
--- a/googleapiclient/discovery_cache/documents/retail.v2alpha.json
+++ b/googleapiclient/discovery_cache/documents/retail.v2alpha.json
@@ -696,6 +696,11 @@
                             "name"
                           ],
                           "parameters": {
+                            "cascadeDelete": {
+                              "description": "This value only applies to the case when the target product is of type PRIMARY. When deleting a product of VARIANT/COLLECTION type, this value will be ignored. When set to true, the subsequent variant products will be deleted. When set to false, if the primary product has active variant products, an error will be returned.",
+                              "location": "query",
+                              "type": "boolean"
+                            },
                             "name": {
                               "description": "Required. Full resource name of Product, such as `projects/*/locations/global/catalogs/default_catalog/branches/default_branch/products/some_product_id`. If the caller does not have permission to delete the Product, regardless of whether or not it exists, a PERMISSION_DENIED error is returned. If the Product to delete does not exist, a NOT_FOUND error is returned. The Product to delete can neither be a Product.Type.COLLECTION Product member nor a Product.Type.PRIMARY Product with more than one variants. Otherwise, an INVALID_ARGUMENT error is returned. All inventory information for the named Product will be deleted.",
                               "location": "path",
@@ -2100,7 +2105,7 @@
       }
     }
   },
-  "revision": "20230119",
+  "revision": "20230126",
   "rootUrl": "https://retail.googleapis.com/",
   "schemas": {
     "GoogleApiHttpBody": {
@@ -2848,7 +2853,7 @@
       "id": "GoogleCloudRetailV2alphaBigQuerySource",
       "properties": {
         "dataSchema": {
-          "description": "The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.",
+          "description": "The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.",
           "type": "string"
         },
         "datasetId": {
@@ -3034,7 +3039,7 @@
       "type": "object"
     },
     "GoogleCloudRetailV2alphaCompleteQueryResponse": {
-      "description": "Response of the auto-complete query.",
+      "description": "Response of the autocomplete query.",
       "id": "GoogleCloudRetailV2alphaCompleteQueryResponse",
       "properties": {
         "attributeResults": {
diff --git a/googleapiclient/discovery_cache/documents/retail.v2beta.json b/googleapiclient/discovery_cache/documents/retail.v2beta.json
index 19f5a72f3b7..b232fdad974 100644
--- a/googleapiclient/discovery_cache/documents/retail.v2beta.json
+++ b/googleapiclient/discovery_cache/documents/retail.v2beta.json
@@ -2029,7 +2029,7 @@
       }
     }
   },
-  "revision": "20230119",
+  "revision": "20230126",
   "rootUrl": "https://retail.googleapis.com/",
   "schemas": {
     "GoogleApiHttpBody": {
@@ -3421,7 +3421,7 @@
       "id": "GoogleCloudRetailV2betaBigQuerySource",
       "properties": {
         "dataSchema": {
-          "description": "The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for auto-completion imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.",
+          "description": "The schema to use when parsing the data from the source. Supported values for product imports: * `product` (default): One JSON Product per line. Each product must have a valid Product.id. * `product_merchant_center`: See [Importing catalog data from Merchant Center](https://cloud.google.com/retail/recommendations-ai/docs/upload-catalog#mc). Supported values for user events imports: * `user_event` (default): One JSON UserEvent per line. * `user_event_ga360`: The schema is available here: https://support.google.com/analytics/answer/3437719. * `user_event_ga4`: The schema is available here: https://support.google.com/analytics/answer/7029846. Supported values for autocomplete imports: * `suggestions` (default): One JSON completion suggestion per line. * `denylist`: One JSON deny suggestion per line. * `allowlist`: One JSON allow suggestion per line.",
           "type": "string"
         },
         "datasetId": {
@@ -3607,7 +3607,7 @@
       "type": "object"
     },
     "GoogleCloudRetailV2betaCompleteQueryResponse": {
-      "description": "Response of the auto-complete query.",
+      "description": "Response of the autocomplete query.",
       "id": "GoogleCloudRetailV2betaCompleteQueryResponse",
       "properties": {
         "attributionToken": {