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Copy file name to clipboardExpand all lines: docs/dyn/sheets_v4.spreadsheets.html
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"tableProjectId": "A String", # The ID of a BigQuery project the table belongs to. If not specified, the project_id is assumed.
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},
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},
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"looker": { # The specification of a Looker data source. # A LookerDatasourceSpec.
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"explore": "A String", # Name of a LookerML model explore.
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"instanceUri": "A String", # A Looker instance URL.
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"model": "A String", # Name of a LookerML model.
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},
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"parameters": [ # The parameters of the data source, used when querying the data source.
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{ # A parameter in a data source's query. The parameter allows the user to pass in values from the spreadsheet into a query.
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"name": "A String", # Named parameter. Must be a legitimate identifier for the DataSource that supports it. For example, [BigQuery identifier](https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#identifiers).
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"tableProjectId": "A String", # The ID of a BigQuery project the table belongs to. If not specified, the project_id is assumed.
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},
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},
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"looker": { # The specification of a Looker data source. # A LookerDatasourceSpec.
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"explore": "A String", # Name of a LookerML model explore.
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"instanceUri": "A String", # A Looker instance URL.
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"model": "A String", # Name of a LookerML model.
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},
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"parameters": [ # The parameters of the data source, used when querying the data source.
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{ # A parameter in a data source's query. The parameter allows the user to pass in values from the spreadsheet into a query.
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"name": "A String", # Named parameter. Must be a legitimate identifier for the DataSource that supports it. For example, [BigQuery identifier](https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#identifiers).
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"tableProjectId": "A String", # The ID of a BigQuery project the table belongs to. If not specified, the project_id is assumed.
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},
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},
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"looker": { # The specification of a Looker data source. # A LookerDatasourceSpec.
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"explore": "A String", # Name of a LookerML model explore.
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"instanceUri": "A String", # A Looker instance URL.
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"model": "A String", # Name of a LookerML model.
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},
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"parameters": [ # The parameters of the data source, used when querying the data source.
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{ # A parameter in a data source's query. The parameter allows the user to pass in values from the spreadsheet into a query.
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"name": "A String", # Named parameter. Must be a legitimate identifier for the DataSource that supports it. For example, [BigQuery identifier](https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#identifiers).
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"tableProjectId": "A String", # The ID of a BigQuery project the table belongs to. If not specified, the project_id is assumed.
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},
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},
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"looker": { # The specification of a Looker data source. # A LookerDatasourceSpec.
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"explore": "A String", # Name of a LookerML model explore.
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"instanceUri": "A String", # A Looker instance URL.
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"model": "A String", # Name of a LookerML model.
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},
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"parameters": [ # The parameters of the data source, used when querying the data source.
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{ # A parameter in a data source's query. The parameter allows the user to pass in values from the spreadsheet into a query.
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"name": "A String", # Named parameter. Must be a legitimate identifier for the DataSource that supports it. For example, [BigQuery identifier](https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#identifiers).
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"tableProjectId": "A String", # The ID of a BigQuery project the table belongs to. If not specified, the project_id is assumed.
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},
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},
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"looker": { # The specification of a Looker data source. # A LookerDatasourceSpec.
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"explore": "A String", # Name of a LookerML model explore.
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"instanceUri": "A String", # A Looker instance URL.
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"model": "A String", # Name of a LookerML model.
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},
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"parameters": [ # The parameters of the data source, used when querying the data source.
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{ # A parameter in a data source's query. The parameter allows the user to pass in values from the spreadsheet into a query.
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"name": "A String", # Named parameter. Must be a legitimate identifier for the DataSource that supports it. For example, [BigQuery identifier](https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#identifiers).
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"tableProjectId": "A String", # The ID of a BigQuery project the table belongs to. If not specified, the project_id is assumed.
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},
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},
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"looker": { # The specification of a Looker data source. # A LookerDatasourceSpec.
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"explore": "A String", # Name of a LookerML model explore.
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"instanceUri": "A String", # A Looker instance URL.
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"model": "A String", # Name of a LookerML model.
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},
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"parameters": [ # The parameters of the data source, used when querying the data source.
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{ # A parameter in a data source's query. The parameter allows the user to pass in values from the spreadsheet into a query.
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"name": "A String", # Named parameter. Must be a legitimate identifier for the DataSource that supports it. For example, [BigQuery identifier](https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#identifiers).
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"tableProjectId": "A String", # The ID of a BigQuery project the table belongs to. If not specified, the project_id is assumed.
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},
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},
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"looker": { # The specification of a Looker data source. # A LookerDatasourceSpec.
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"explore": "A String", # Name of a LookerML model explore.
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"instanceUri": "A String", # A Looker instance URL.
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"model": "A String", # Name of a LookerML model.
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},
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"parameters": [ # The parameters of the data source, used when querying the data source.
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{ # A parameter in a data source's query. The parameter allows the user to pass in values from the spreadsheet into a query.
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"name": "A String", # Named parameter. Must be a legitimate identifier for the DataSource that supports it. For example, [BigQuery identifier](https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#identifiers).
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"tableProjectId": "A String", # The ID of a BigQuery project the table belongs to. If not specified, the project_id is assumed.
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},
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},
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"looker": { # The specification of a Looker data source. # A LookerDatasourceSpec.
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"explore": "A String", # Name of a LookerML model explore.
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"instanceUri": "A String", # A Looker instance URL.
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"model": "A String", # Name of a LookerML model.
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},
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"parameters": [ # The parameters of the data source, used when querying the data source.
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{ # A parameter in a data source's query. The parameter allows the user to pass in values from the spreadsheet into a query.
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"name": "A String", # Named parameter. Must be a legitimate identifier for the DataSource that supports it. For example, [BigQuery identifier](https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#identifiers).
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"tableProjectId": "A String", # The ID of a BigQuery project the table belongs to. If not specified, the project_id is assumed.
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},
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},
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"looker": { # The specification of a Looker data source. # A LookerDatasourceSpec.
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"explore": "A String", # Name of a LookerML model explore.
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"instanceUri": "A String", # A Looker instance URL.
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"model": "A String", # Name of a LookerML model.
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},
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"parameters": [ # The parameters of the data source, used when querying the data source.
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{ # A parameter in a data source's query. The parameter allows the user to pass in values from the spreadsheet into a query.
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"name": "A String", # Named parameter. Must be a legitimate identifier for the DataSource that supports it. For example, [BigQuery identifier](https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#identifiers).
Copy file name to clipboardExpand all lines: googleapiclient/discovery_cache/documents/sheets.v4.json
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}
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}
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},
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"revision": "20240708",
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"revision": "20240716",
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"rootUrl": "https://sheets.googleapis.com/",
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"schemas": {
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"AddBandingRequest": {
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"$ref": "BigQueryDataSourceSpec",
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"description": "A BigQueryDataSourceSpec."
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},
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"looker": {
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"$ref": "LookerDataSourceSpec",
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"description": "A LookerDatasourceSpec."
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},
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"parameters": {
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"description": "The parameters of the data source, used when querying the data source.",
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"items": {
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},
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"type": "object"
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},
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"LookerDataSourceSpec": {
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"description": "The specification of a Looker data source.",
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"id": "LookerDataSourceSpec",
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"properties": {
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"explore": {
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"description": "Name of a LookerML model explore.",
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"type": "string"
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},
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"instanceUri": {
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"description": "A Looker instance URL.",
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"type": "string"
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},
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"model": {
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"description": "Name of a LookerML model.",
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"type": "string"
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}
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},
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"type": "object"
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},
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"ManualRule": {
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"description": "Allows you to manually organize the values in a source data column into buckets with names of your choosing. For example, a pivot table that aggregates population by state: +-------+-------------------+ | State | SUM of Population | +-------+-------------------+ | AK | 0.7 | | AL | 4.8 | | AR | 2.9 | ... +-------+-------------------+ could be turned into a pivot table that aggregates population by time zone by providing a list of groups (for example, groupName = 'Central', items = ['AL', 'AR', 'IA', ...]) to a manual group rule. Note that a similar effect could be achieved by adding a time zone column to the source data and adjusting the pivot table. +-----------+-------------------+ | Time Zone | SUM of Population | +-----------+-------------------+ | Central | 106.3 | | Eastern | 151.9 | | Mountain | 17.4 | ... +-----------+-------------------+",
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