Google Cloud BigQuery Connector

gb-priska · ‎10-31-2025

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BigQuery is Google Cloud's fully managed, petabyte-scale, and cost-effective analytics data warehouse that lets you run analytics over vast amounts of data in near real time.

Connections

Google Cloud BigQuery OAuth2

Authenticate requests to Google Cloud BigQuery using OAuth2.

The Google BigQuery component authenticates requests through the Google Cloud Platform (GCP) OAuth 2.0 service. You'll need to create a GCP OAuth 2.0 app so your integration can
authenticate and perform Google Drive tasks on your customers' behalf.

To create a Google Drive OAuth 2.0 app, first make sure you have a Google Developer account - you can sign up at https://console.cloud.google.com/.
Then:

Open up the Google Drive API Console
Click CREATE PROJECT if you would like to create a new GCP project, or select an existing project.
You will be prompted to enable Google BigQuery for your project. Click ENABLE.
On the sidebar, select Credentials.
An OAuth 2.0 app includes a "Consent Screen" (the page that asks "Do you want to allow (Your Company) to access Google Drive on your behalf?"). Click CONFIGURE CONSENT SCREEN.
1. Your app will be externally available to your customers, so choose a User Type of External.
2. Fill out the OAuth consent screen with an app name (your company or product's name), support email, app logo, domain, etc.
3. You can ignore domains for now.
4. On the next page, add these scopes to your app (these may not all be necessary, and should match the scopes you request in your connection definition):
5. Enter some test users for your testing purposes. Your app will only work for those testing users until it is "verified" by Google.
  When you are ready for verification (they verify your privacy policy statement, etc), click PUBLISH APP on the OAuth consent screen. That'll allow your customers to authorize your integration to access their Google Drive.
Once your "Consent Screen" is configured open the Credentials page from the sidebar again.
Click +CREATE CREDENTIALS and select OAuth client ID.
1. Under Application type select Web application.
2. Under Authorized redirect URIs enter the OAuth 2.0 callback URL: https://oauth2.flowbuilder.eu.lansweeper.com/callback for EU sites or https://oauth2.flowbuilder.us.lansweeper.com/callback for US sites
3. Click CREATE.
Take note of the Client ID and Client Secret that are generated.

INFO Make sure to publish your OAuth 2.0 app after you've tested it so users outside of your test users can authorize your integration to interact with Google Drive on their behalf.

Now that you have a Client ID and Client Secret, add Google Drive step to your flow. Open the Configuration Wizard Designer by clicking Configuration Wizard, select your Google Drive Connection and enter your client ID and secret. You will probably want to keep the default Google BigQuery scopes:

https://www.googleapis.com/auth/bigquery	View and manage your data in Google BigQuery and see the email address for your Google Account
https://www.googleapis.com/auth/bigquery.insertdata	Insert data into Google BigQuery
https://www.googleapis.com/auth/cloud-platform	See, edit, configure, and delete your Google Cloud data and see the email address for your Google Account.
https://www.googleapis.com/auth/cloud-platform.read-only	View your data across Google Cloud services and see the email address of your Google Account
https://www.googleapis.com/auth/devstorage.full_control	Manage your data and permissions in Cloud Storage and see the email address for your Google Account
https://www.googleapis.com/auth/devstorage.read_only	View your data in Google Cloud Storage
https://www.googleapis.com/auth/devstorage.read_write	Manage your data in Cloud Storage and see the email address of your Google Account

This connection uses OAuth 2.0, a common authentication mechanism for integrations.
Read about how OAuth 2.0 works here.

Input	Comments	Default
Scopes	Space delimited listing of scopes. https://developers.google.com/identity/protocols/oauth2/scopes#bigquery	https://www.googleapis.com/auth/bigquery https://www.googleapis.com/auth/bigquery.insertdata https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/cloud-platform.read-only https://www.googleapis.com/auth/devstorage.full_control https://www.googleapis.com/auth/devstorage.read_only https://www.googleapis.com/auth/devstorage.read_write
Client ID	The Google BigQuery app's Client Identifier.
Client Secret	The Google BigQuery app's Client Secret.

Google Cloud BigQuery Private Key

Authenticate requests to Google Cloud BigQuery using values obtained from the Google Cloud Platform.

Input	Comments	Default
Client Email	The email address of the client you would like to connect.
Private Key	The private key of the client you would like to connect.

Triggers

PubSub Notification

PubSub Notification Trigger Settings

Actions

Cancel Job

Requests that a job be cancelled.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Job ID	Job ID of the requested job.
Location	The geographic location where the dataset should reside. See https://cloud.google.com/bigquery/docs/locations for supported locations.

Create Dataset

Creates a new empty dataset.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Dataset Reference	A reference that identifies the dataset.
Kind	Output only. The resource type.
ETag	Output only. A hash of the resource.
ID	Output only. The fully-qualified unique name of the dataset in the format projectId:datasetId. The dataset name without the project name is given in the datasetId field. When creating a new dataset, leave this field blank, and instead specify the datasetId field.
Self Link	Output only. A URL that can be used to access the resource again. You can use this URL in Get or Update requests to the resource.
Friendly Name	Optional. A descriptive name for the dataset.
Description	Optional. A descriptive name for the dataset.
Default Table Expiration (ms)	Optional. The default lifetime of all tables in the dataset, in milliseconds. The minimum lifetime value is 3600000 milliseconds (one hour). To clear an existing default expiration with a PATCH request, set to 0. Once this property is set, all newly-created tables in the dataset will have an expirationTime property set to the creation time plus the value in this property, and changing the value will only affect new tables, not existing ones. When the expirationTime for a given table is reached, that table will be deleted automatically. If a table's expirationTime is modified or removed before the table expires, or if you provide an explicit expirationTime when creating a table, that value takes precedence over the default expiration time indicated by this property.
Default Partition Expiration (ms)	This default partition expiration, expressed in milliseconds.

When new time-partitioned tables are created in a dataset where this property is set, the table will inherit this value, propagated as the TimePartitioning.expirationMs property on the new table. If you set TimePartitioning.expirationMs explicitly when creating a table, the defaultPartitionExpirationMs of the containing dataset is ignored.
When creating a partitioned table, if defaultPartitionExpirationMs is set, the defaultTableExpirationMs value is ignored and the table will not be inherit a table expiration deadline. | |
| Labels | The labels associated with this dataset. You can use these to organize and group your datasets. You can set this property when inserting or updating a dataset. See Creating and Updating Dataset Labels for more information. | |
| Access | Optional. An array of objects that define dataset access for one or more entities. You can set this property when inserting or updating a dataset in order to control who is allowed to access the data. If unspecified at dataset creation time, BigQuery adds default dataset access for the following entities: access.specialGroup: projectReaders; access.role: READER; access.specialGroup: projectWriters; access.role: WRITER; access.specialGroup: projectOwners; access.role: OWNER; access.userByEmail: [dataset creator email]; access.role: OWNER. | |
| Creation Time | Output only. The time when this dataset was created, in milliseconds since the epoch. | |
| Last Modified Time | Output only. The date when this dataset was last modified, in milliseconds since the epoch. | |
| Location | The geographic location where the dataset should reside. See https://cloud.google.com/bigquery/docs/locations for supported locations. | |
| Default Encryption Configuration | The default encryption key for all tables in the dataset. Once this property is set, all newly-created partitioned tables in the dataset will have encryption key set to this value, unless table creation request (or query) overrides the key. | |
| Satisfies PZS | Output only. Reserved for future use. | false |
| Is Case Insensitive | Optional. TRUE if the dataset and its table names are case-insensitive, otherwise FALSE. By default, this is FALSE, which means the dataset and its table names are case-sensitive. This field does not affect routine references. | false |
| Default Collation | Optional. The maximum staleness of data that could be returned when the table (or stale MV) is queried. Staleness encoded as a string encoding of sql IntervalValue type. | |
| Default Rounding Mode | Optional. Defines the default rounding mode specification of new tables created within this dataset. During table creation, if this field is specified, the table within this dataset will inherit the default rounding mode of the dataset. Setting the default rounding mode on a table overrides this option. Existing tables in the dataset are unaffected. If columns are defined during that table creation, they will immediately inherit the table's default rounding mode, unless otherwise specified. | |
| Max Time Travel Hours | Optional. Defines the time travel window in hours. The value can be from 48 to 168 hours (2 to 7 days). The default value is 168 hours if this is not set. | |
| Tags | Output only. Tags for the Dataset. | |
| Storage Billing Model | Optional. Updates storageBillingModel for the dataset. | |

Create Job

Starts a new asynchronous job.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Configuration	Required. Describes the job configuration.
Kind	Output only. The resource type.
ETag	Output only. A hash of the resource.
ID	Output only. The fully-qualified unique name of the dataset in the format projectId:datasetId. The dataset name without the project name is given in the datasetId field. When creating a new dataset, leave this field blank, and instead specify the datasetId field.
Self Link	Output only. A URL that can be used to access the resource again. You can use this URL in Get or Update requests to the resource.
User Email	Output only. Email address of the user who ran the job.
Job Reference	Optional. Reference describing the unique-per-user name of the job.
Statistics	Output only. Information about the job, including starting time and ending time of the job.
Status	Output only. The status of this job. Examine this value when polling an asynchronous job to see if the job is complete.

Create Routine

Creates a new routine in the dataset.

Input	Comments	Default
Connection
Dataset ID	Dataset ID of the requested dataset
Project ID	Project ID of the datasets to be listed
Routine Reference	Reference describing the ID of this routine.
Routine Type	The type of routine. One of ROUTINE_TYPE_UNSPECIFIED / SCALAR_FUNCTION / PROCEDURE / TABLE_VALUED_FUNCTION
Default Trial ID	Required. The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, '

', y)) The definitionBody is concat(x, '
', y) (
is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return '
';
'The definitionBody is return '
';
Note that both
are replaced with linebreaks. | |
| ETag | Output only. A hash of the resource. | |
| Arguments | Input/output argument of a function or a stored procedure. | |
| Return Table Type | Optional. Can be set only if routineType = 'TABLE_VALUED_FUNCTION'. If absent, the return table type is inferred from definitionBody at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time. | |
| Return Type | Optional if language = 'SQL'; required otherwise. Cannot be set if routineType = 'TABLE_VALUED_FUNCTION'. If absent, the return type is inferred from definitionBody at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. | |
| Creation Time | Output only. The time when this dataset was created, in milliseconds since the epoch. | |
| Last Modified Time | Output only. The date when this dataset was last modified, in milliseconds since the epoch. | |
| Language | Optional. Defaults to 'SQL' if remoteFunctionOptions field is absent, not set otherwise. One of LANGUAGE_UNSPECIFIED / SQL / JAVASCRIPT / PYTHON / JAVA / SCALA | |
| Imported Libraries | Optional. If language = 'JAVASCRIPT', this field stores the path of the imported JAVASCRIPT libraries. | ["000xxx"] |
| Description | Optional. The description of the routine, if defined. | |
| Determinism Level | Optional. The determinism level of the JavaScript UDF, if defined. One of DETERMINISM_LEVEL_UNSPECIFIED / DETERMINISTIC / NOT_DETERMINISTIC | |
| Remote Function Options | Optional. Remote function specific options. | |
| Spark Options | Optional. Spark specific options. | |

Create Table

Creates a new, empty table in the dataset.

Input	Comments	Default
Connection
Kind	Output only. The resource type.
Table Reference	Reference describing the ID of this routine.
Friendly Name	Optional. A descriptive name for the dataset.
Description	Optional. A descriptive name for the dataset.
Labels	The labels associated with this dataset. You can use these to organize and group your datasets. You can set this property when inserting or updating a dataset. See Creating and Updating Dataset Labels for more information.
Schema	Optional. Describes the schema of this table.
Time Partitioning	If specified, configures time-based partitioning for this table.
Range Partitioning	If specified, configures range partitioning for this table.
Clustering	Clustering specification for the table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
Require Partition Filter	Optional. If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.	false
Expiration Time	Optional. The time when this model expires, in milliseconds since the epoch. If not present, the model will persist indefinitely. Expired models will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created models.
View	Optional. The view definition.
Materialized View	Optional. The materialized view definition.
External Data Configuration	Optional. Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
Encryption Configuration	Custom encryption configuration (e.g., Cloud KMS keys). This shows the encryption configuration of the model data while stored in BigQuery storage. This field can be used with models.patch to update encryption key for an already encrypted model.
Default Collation	Optional. The maximum staleness of data that could be returned when the table (or stale MV) is queried. Staleness encoded as a string encoding of sql IntervalValue type.
Default Rounding Mode	Optional. Defines the default rounding mode specification of new tables created within this dataset. During table creation, if this field is specified, the table within this dataset will inherit the default rounding mode of the dataset. Setting the default rounding mode on a table overrides this option. Existing tables in the dataset are unaffected. If columns are defined during that table creation, they will immediately inherit the table's default rounding mode, unless otherwise specified.
Max Staleness	Optional. Defines the default collation specification of future tables created in the dataset. If a table is created in this dataset without table-level default collation, then the table inherits the dataset default collation, which is applied to the string fields that do not have explicit collation specified. A change to this field affects only tables created afterwards, and does not alter the existing tables. The following values are supported: 'und:ci': undetermined locale, case insensitive.'' empty string. Default to case-sensitive behavior.
Dataset ID	Dataset ID of the table to update.
Project ID	Project ID of the table to update.

Delete Dataset

Deletes the dataset specified by the datasetId value. Before you can delete a dataset, you must delete all its tables, either manually or by specifying deleteContents. Immediately after deletion, you can create another dataset with the same name.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Dataset ID	Dataset ID of the requested dataset

Delete Job

Requests the deletion of the metadata of a job.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Job ID	Job ID of the requested job.
Location	The geographic location where the dataset should reside. See https://cloud.google.com/bigquery/docs/locations for supported locations.

Delete Model

Deletes the model specified by model ID from the dataset.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Dataset ID	Dataset ID of the requested dataset
Model ID	Model ID of the requested model.

Delete Routine

Deletes the routine specified by routine ID from the dataset.

Input	Comments	Default
Connection
Dataset ID	Dataset ID of the requested dataset
Project ID	Project ID of the datasets to be listed
Routine ID	Routine ID of the requested routine.

Delete Table

Deletes the table specified by table ID from the dataset.

Input	Comments	Default
Connection
Dataset ID	Dataset ID of the table to delete.
Project ID	Project ID of the table to delete.
Table ID	Table ID of the table to delete.

Get Dataset

Returns the dataset specified by datasetID.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Dataset ID	Dataset ID of the requested dataset

Get Job

Returns information about a specific job.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Job ID	Job ID of the requested job.
Location	The geographic location where the dataset should reside. See https://cloud.google.com/bigquery/docs/locations for supported locations.

Get Model

Gets the specified model resource by model ID.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Dataset ID	Dataset ID of the requested dataset
Model ID	Model ID of the requested model.

Get Policy

Gets the access control policy for a resource.

Input	Comments	Default
Connection
Table ID	The resource for which the policy is being requested. See Resource names for the appropriate value for this field.
Options	OPTIONAL: A GetPolicyOptions object for specifying options to tables.getIamPolicy.

Get Query Job Results

Receives the results of a query job.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Job ID	Job ID of the requested job.
Start Index	Zero-based index of the starting row.
Page Token	Page token, returned by a previous call, to request the next page of results
Max Results	The maximum number of results to return in a single response page. Leverage the page tokens to iterate through the entire collection.
Timeout (ms)	Optional. Optional: Specifies the maximum amount of time, in milliseconds, that the client is willing to wait for the query to complete. By default, this limit is 10 seconds (10,000 milliseconds). If the query is complete, the jobComplete field in the response is true. If the query has not yet completed, jobComplete is false. You can request a longer timeout period in the timeoutMs field. However, the call is not guaranteed to wait for the specified timeout; it typically returns after around 200 seconds (200,000 milliseconds), even if the query is not complete. If jobComplete is false, you can continue to wait for the query to complete by calling the getQueryResults method until the jobComplete field in the getQueryResults response is true.
Location	The geographic location where the dataset should reside. See https://cloud.google.com/bigquery/docs/locations for supported locations.

Get Routine

Gets the specified routine resource by routine ID.

Input	Comments	Default
Connection
Dataset ID	Dataset ID of the requested dataset
Project ID	Project ID of the datasets to be listed
Read Mask	If set, only the Routine fields in the field mask are returned in the response. If unset, all Routine fields are returned. This is a comma-separated list of fully qualified names of fields. Example: 'user.displayName,photo'.
Routine ID	Routine ID of the requested routine.

Get Service Account

Receives the service account for a project used for interactions with Google Cloud KMS

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed

Get Table

Gets the specified table resource by table ID.

Input	Comments	Default
Connection
Dataset ID	Dataset ID of the requested table.
Project ID	Project ID of the requested table.
Table ID	Table ID of the requested table.
Selected Fields	tabledata.list of table schema fields to return (comma-separated). If unspecified, all fields are returned. A fieldMask cannot be used here because the fields will automatically be converted from camelCase to snake_case and the conversion will fail if there are underscores. Since these are fields in BigQuery table schemas, underscores are allowed.
View	Optional. Specifies the view that determines which table information is returned. By default, basic table information and storage statistics (STORAGE_STATS) are returned. One of TABLE_METADATA_VIEW_UNSPECIFIED / BASIC / STORAGE_STATS / FULL

List Datasets

Lists all datasets in the specified project to which the user has been granted the READER dataset role.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Page Token	Page token, returned by a previous call, to request the next page of results
All	Whether to list all datasets, including hidden ones	false
Filter	An expression for filtering the results of the request by label. The syntax is 'labels.[:]'. Multiple filters can be ANDed together by connecting with a space. Example: 'labels.department:receiving labels.active'. See Filtering datasets using labels for details.
Max Results	The maximum number of results to return in a single response page. Leverage the page tokens to iterate through the entire collection.

List Jobs

Lists all jobs that you started in the specified project.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Page Token	Page token, returned by a previous call, to request the next page of results
All Users	Whether to display jobs owned by all users in the project. Default False.	false
Max Results	The maximum number of results to return in a single response page. Leverage the page tokens to iterate through the entire collection.
Min Creation Time	Min value for job creation time, in milliseconds since the POSIX epoch. If set, only jobs created after or at this timestamp are returned.
Max Creation Time	Max value for job creation time, in milliseconds since the POSIX epoch. If set, only jobs created after or at this timestamp are returned.
Projection	Restrict information returned to a set of selected fields
State Filter	Filter for job state, Valid values of this enum field are: DONE, PENDING, RUNNING	`["000xxx"]`
Parent Job ID	If set, show only child jobs of the specified parent. Otherwise, show all top-level jobs.

List Models

Lists all models in the specified dataset. Requires the READER dataset role. After retrieving the list of models, you can get information about a particular model by calling the models.get method.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Dataset ID	Dataset ID of the requested dataset
Page Token	Page token, returned by a previous call, to request the next page of results
Max Results	The maximum number of results to return in a single response page. Leverage the page tokens to iterate through the entire collection.

List Projects

Lists projects to which the user has been granted any project role.

Input	Comments	Default
Connection
Page Token	Page token, returned by a previous call, to request the next page of results
Max Results	The maximum number of results to return in a single response page. Leverage the page tokens to iterate through the entire collection.

List Routines

Lists all routines in the specified dataset.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Dataset ID	Dataset ID of the requested dataset
Filter	An expression for filtering the results of the request by label. The syntax is 'labels.[:]'. Multiple filters can be ANDed together by connecting with a space. Example: 'labels.department:receiving labels.active'. See Filtering datasets using labels for details.
Page Token	Page token, returned by a previous call, to request the next page of results
Max Results	The maximum number of results to return in a single response page. Leverage the page tokens to iterate through the entire collection.
Read Mask	If set, only the Routine fields in the field mask are returned in the response. If unset, all Routine fields are returned. This is a comma-separated list of fully qualified names of fields. Example: 'user.displayName,photo'.

List Table Data

Lists the content of a table in rows.

Input	Comments	Default
Connection
Dataset ID	Dataset ID of the requested dataset
Project ID	Project ID of the datasets to be listed
Table ID	Table ID of the requested table
Start Index	Zero-based index of the starting row.
Max Results	The maximum number of results to return in a single response page. Leverage the page tokens to iterate through the entire collection.
Page Token	Page token, returned by a previous call, to request the next page of results
Selected Fields	Subset of fields to return, supports select into sub fields. Example: selectedFields = 'a,e.d.f';

List Tables

Lists all tables in the specified dataset.

Input	Comments	Default
Connection
Dataset ID	Dataset ID of the tables to list.
Project ID	Project ID of the tables to list.
Max Results	The maximum number of results to return in a single response page. Leverage the page tokens to iterate through the entire collection.
Page Token	Page token, returned by a previous call, to request the next page of results

Patch Table

Patch information in an existing table.

Input	Comments	Default
Connection
Dataset ID	Dataset ID of the table to patch.
Project ID	Project ID of the table to patch.
Table ID	Table ID of the table to patch.
Kind	Output only. The resource type.
Table Reference	Reference describing the ID of this routine.
Friendly Name	Optional. A descriptive name for the dataset.
Description	Optional. A descriptive name for the dataset.
Labels	The labels associated with this dataset. You can use these to organize and group your datasets. You can set this property when inserting or updating a dataset. See Creating and Updating Dataset Labels for more information.
Schema	Optional. Describes the schema of this table.
Time Partitioning	If specified, configures time-based partitioning for this table.
Range Partitioning	If specified, configures range partitioning for this table.
Clustering	Clustering specification for the table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
Require Partition Filter	Optional. If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.	false
Expiration Time	Optional. The time when this model expires, in milliseconds since the epoch. If not present, the model will persist indefinitely. Expired models will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created models.
View	Optional. The view definition.
Materialized View	Optional. The materialized view definition.
External Data Configuration	Optional. Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
Encryption Configuration	Custom encryption configuration (e.g., Cloud KMS keys). This shows the encryption configuration of the model data while stored in BigQuery storage. This field can be used with models.patch to update encryption key for an already encrypted model.
Default Collation	Optional. The maximum staleness of data that could be returned when the table (or stale MV) is queried. Staleness encoded as a string encoding of sql IntervalValue type.
Default Rounding Mode	Optional. Defines the default rounding mode specification of new tables created within this dataset. During table creation, if this field is specified, the table within this dataset will inherit the default rounding mode of the dataset. Setting the default rounding mode on a table overrides this option. Existing tables in the dataset are unaffected. If columns are defined during that table creation, they will immediately inherit the table's default rounding mode, unless otherwise specified.
Max Staleness	Optional. Defines the default collation specification of future tables created in the dataset. If a table is created in this dataset without table-level default collation, then the table inherits the dataset default collation, which is applied to the string fields that do not have explicit collation specified. A change to this field affects only tables created afterwards, and does not alter the existing tables. The following values are supported: 'und:ci': undetermined locale, case insensitive.'' empty string. Default to case-sensitive behavior.

Query Job

Runs a BigQuery SQL query synchronously and returns query results if the query completes within a specified timeout.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Kind	Output only. The resource type.
Query	Required. A query string to execute, using Google Standard SQL or legacy SQL syntax. Example: 'SELECT COUNT(f1) FROM myProjectId.myDatasetId.myTableId'.
Max Results	The maximum number of results to return in a single response page. Leverage the page tokens to iterate through the entire collection.
Default Dataset	Optional. Specifies the default datasetId and projectId to assume for any unqualified table names in the query. If not set, all table names in the query string must be qualified in the format 'datasetId.tableId'.
Timeout (ms)	Optional. Optional: Specifies the maximum amount of time, in milliseconds, that the client is willing to wait for the query to complete. By default, this limit is 10 seconds (10,000 milliseconds). If the query is complete, the jobComplete field in the response is true. If the query has not yet completed, jobComplete is false. You can request a longer timeout period in the timeoutMs field. However, the call is not guaranteed to wait for the specified timeout; it typically returns after around 200 seconds (200,000 milliseconds), even if the query is not complete. If jobComplete is false, you can continue to wait for the query to complete by calling the getQueryResults method until the jobComplete field in the getQueryResults response is true.
Dry Run	Optional. If set to true, BigQuery doesn't run the job. Instead, if the query is valid, BigQuery returns statistics about the job such as how many bytes would be processed. If the query is invalid, an error returns. The default value is false.	false
Use Query Cache	Optional. Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. The default value is true.	true
Use Legacy SQL	Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's GoogleSQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.	true
Parameter Mode	GoogleSQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
Query Parameters	Optional. An array of query parameters for a query. Reference to the Google docs for this input. https://cloud.google.com/bigquery/docs/reference/rest/v2/QueryParameter
Location	The geographic location where the dataset should reside. See https://cloud.google.com/bigquery/docs/locations for supported locations.
Connection Properties	Optional. Connection properties which can modify the query behavior.
Labels	The labels associated with this dataset. You can use these to organize and group your datasets. You can set this property when inserting or updating a dataset. See Creating and Updating Dataset Labels for more information.
Maximum Bytes Billed	Optional. Limits the bytes billed for this query. Queries with bytes billed above this limit will fail (without incurring a charge). If unspecified, the project default is used.
Request ID	Optional. A unique user provided identifier to ensure idempotent behavior for queries. Note that this is different from the jobId. It has the following properties: It is case-sensitive, limited to up to 36 ASCII characters. A UUID is recommended. Read only queries can ignore this token since they are nullipotent by definition. For the purposes of idempotency ensured by the requestId, a request is considered duplicate of another only if they have the same requestId and are actually duplicates. When determining whether a request is a duplicate of another request, all parameters in the request that may affect the result are considered. For example, query, connectionProperties, queryParameters, useLegacySql are parameters that affect the result and are considered when determining whether a request is a duplicate, but properties like timeoutMs don't affect the result and are thus not considered. Dry run query requests are never considered duplicate of another request. When a duplicate mutating query request is detected, it returns: a. the results of the mutation if it completes successfully within the timeout. b. the running operation if it is still in progress at the end of the timeout. Its lifetime is limited to 15 minutes. In other words, if two requests are sent with the same requestId, but more than 15 minutes apart, idempotency is not guaranteed.
Create Session	Optional. If true, creates a new session using a randomly generated sessionId. If false, runs query with an existing sessionId passed in ConnectionProperty, otherwise runs query in non-session mode. The session location will be set to QueryRequest.location if it is present, otherwise it's set to the default location based on existing routing logic.	false

Raw Request

Send raw HTTP request to Google Cloud BigQuery

Input	Comments	Default
Connection
API Version	The API version to use. This is used to construct the base URL for the request.	v2
URL	Input the path only (/projects/{projectId}/jobs), The base URL is already included (https://bigquery.googleapis.com/bigquery/{version}). For example, to connect to https://bigquery.googleapis.com/bigquery/v2/projects/{projectId}/jobs, only /projects/{projectId}/jobs is entered in this field.
Method	The HTTP method to use.
Data	The HTTP body payload to send to the URL.
Form Data	The Form Data to be sent as a multipart form upload.
File Data	File Data to be sent as a multipart form upload.
File Data File Names	File names to apply to the file data inputs. Keys must match the file data keys above.
Query Parameter	A list of query parameters to send with the request. This is the portion at the end of the URL similar to ?key1=value1&key2=value2.
Header	A list of headers to send with the request.
Response Type	The type of data you expect in the response. You can request json, text, or binary data.	json
Timeout	The maximum time that a client will await a response to its request
Debug Request	Enabling this flag will log out the current request.	false
Retry Delay (ms)	The delay in milliseconds between retries. This is used when 'Use Exponential Backoff' is disabled.	0
Retry On All Errors	If true, retries on all erroneous responses regardless of type. This is helpful when retrying after HTTP 429 or other 3xx or 4xx errors. Otherwise, only retries on HTTP 5xx and network errors.	false
Max Retry Count	The maximum number of retries to attempt. Specify 0 for no retries.	0
Use Exponential Backoff	Specifies whether to use a pre-defined exponential backoff strategy for retries. When enabled, 'Retry Delay (ms)' is ignored.	false

Set Policy

Sets the access control policy on the specified resource.

Input	Comments	Default
Connection
Table ID	The resource for which the policy is being requested. See Resource names for the appropriate value for this field.
Policy	The complete policy to be applied to the resource. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Google Cloud services (such as Projects) might reject them.
Update Mask	OPTIONAL: A FieldMask specifying which fields of the policy to modify. Only the fields in the mask will be modified. If no mask is provided, the following default mask is used: paths: 'bindings, etag'
This is a comma-separated list of fully qualified names of fields. Example: 'user.displayName,photo'.

Table Data Insert All

Streams data into BigQuery one record at a time without needing to run a load job.

Input	Comments	Default
Connection
Dataset ID	Dataset ID of the requested dataset
Project ID	Project ID of the datasets to be listed
Table ID	Table ID of the requested table
Kind	Output only. The resource type.
Skip Invalid Rows	Optional. Insert all valid rows of a request, even if invalid rows exist. The default value is false, which causes the entire request to fail if any invalid rows exist.	false
Ignore Unknown Values	Optional. Accept rows that contain values that do not match the schema. The unknown values are ignored. Default is false, which treats unknown values as errors.	false
Template Suffix	Optional. If specified, treats the destination table as a base template, and inserts the rows into an instance table named '{destination}{templateSuffix}'. BigQuery will manage creation of the instance table, using the schema of the base template table.
See https://cloud.google.com/bigquery/streaming-data-into-bigquery#template-tables for considerations when working with templates tables.
Rows	The complete policy to be applied to the resource. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Google Cloud services (such as Projects) might reject them.

Update Dataset

Updates information in an existing dataset. The update method replaces the entire dataset resource, whereas the patch method only replaces fields that are provided in the submitted dataset resource.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Dataset ID	Dataset ID of the requested dataset
Dataset Reference	A reference that identifies the dataset.
Kind	Output only. The resource type.
ETag	Output only. A hash of the resource.
ID	Output only. The fully-qualified unique name of the dataset in the format projectId:datasetId. The dataset name without the project name is given in the datasetId field. When creating a new dataset, leave this field blank, and instead specify the datasetId field.
Self Link	Output only. A URL that can be used to access the resource again. You can use this URL in Get or Update requests to the resource.
Friendly Name	Optional. A descriptive name for the dataset.
Description	Optional. A descriptive name for the dataset.
Default Table Expiration (ms)	Optional. The default lifetime of all tables in the dataset, in milliseconds. The minimum lifetime value is 3600000 milliseconds (one hour). To clear an existing default expiration with a PATCH request, set to 0. Once this property is set, all newly-created tables in the dataset will have an expirationTime property set to the creation time plus the value in this property, and changing the value will only affect new tables, not existing ones. When the expirationTime for a given table is reached, that table will be deleted automatically. If a table's expirationTime is modified or removed before the table expires, or if you provide an explicit expirationTime when creating a table, that value takes precedence over the default expiration time indicated by this property.
Default Partition Expiration (ms)	This default partition expiration, expressed in milliseconds.

When new time-partitioned tables are created in a dataset where this property is set, the table will inherit this value, propagated as the TimePartitioning.expirationMs property on the new table. If you set TimePartitioning.expirationMs explicitly when creating a table, the defaultPartitionExpirationMs of the containing dataset is ignored.
When creating a partitioned table, if defaultPartitionExpirationMs is set, the defaultTableExpirationMs value is ignored and the table will not be inherit a table expiration deadline. | |
| Labels | The labels associated with this dataset. You can use these to organize and group your datasets. You can set this property when inserting or updating a dataset. See Creating and Updating Dataset Labels for more information. | |
| Access | Optional. An array of objects that define dataset access for one or more entities. You can set this property when inserting or updating a dataset in order to control who is allowed to access the data. If unspecified at dataset creation time, BigQuery adds default dataset access for the following entities: access.specialGroup: projectReaders; access.role: READER; access.specialGroup: projectWriters; access.role: WRITER; access.specialGroup: projectOwners; access.role: OWNER; access.userByEmail: [dataset creator email]; access.role: OWNER. | |
| Creation Time | Output only. The time when this dataset was created, in milliseconds since the epoch. | |
| Last Modified Time | Output only. The date when this dataset was last modified, in milliseconds since the epoch. | |
| Location | The geographic location where the dataset should reside. See https://cloud.google.com/bigquery/docs/locations for supported locations. | |
| Default Encryption Configuration | The default encryption key for all tables in the dataset. Once this property is set, all newly-created partitioned tables in the dataset will have encryption key set to this value, unless table creation request (or query) overrides the key. | |
| Satisfies PZS | Output only. Reserved for future use. | false |
| Is Case Insensitive | Optional. TRUE if the dataset and its table names are case-insensitive, otherwise FALSE. By default, this is FALSE, which means the dataset and its table names are case-sensitive. This field does not affect routine references. | false |
| Default Collation | Optional. The maximum staleness of data that could be returned when the table (or stale MV) is queried. Staleness encoded as a string encoding of sql IntervalValue type. | |
| Default Rounding Mode | Optional. Defines the default rounding mode specification of new tables created within this dataset. During table creation, if this field is specified, the table within this dataset will inherit the default rounding mode of the dataset. Setting the default rounding mode on a table overrides this option. Existing tables in the dataset are unaffected. If columns are defined during that table creation, they will immediately inherit the table's default rounding mode, unless otherwise specified. | |
| Max Time Travel Hours | Optional. Defines the time travel window in hours. The value can be from 48 to 168 hours (2 to 7 days). The default value is 168 hours if this is not set. | |
| Tags | Output only. Tags for the Dataset. | |
| Storage Billing Model | Optional. Updates storageBillingModel for the dataset. | |

Update Model

Patch specific fields in the specified model.

Input	Comments	Default
Connection
Project ID	Project ID of the datasets to be listed
Dataset ID	Dataset ID of the requested dataset
Model ID	Model ID of the requested model.
Model Reference	Unique identifier for this model.
ETag	Output only. A hash of the resource.
Creation Time	Output only. The time when this dataset was created, in milliseconds since the epoch.
Last Modified Time	Output only. The date when this dataset was last modified, in milliseconds since the epoch.
Description	Optional. A descriptive name for the dataset.
Friendly Name	Optional. A descriptive name for the dataset.
Labels	The labels associated with this dataset. You can use these to organize and group your datasets. You can set this property when inserting or updating a dataset. See Creating and Updating Dataset Labels for more information.
Expiration Time	Optional. The time when this model expires, in milliseconds since the epoch. If not present, the model will persist indefinitely. Expired models will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created models.
Location	The geographic location where the dataset should reside. See https://cloud.google.com/bigquery/docs/locations for supported locations.
Encryption Configuration	Custom encryption configuration (e.g., Cloud KMS keys). This shows the encryption configuration of the model data while stored in BigQuery storage. This field can be used with models.patch to update encryption key for an already encrypted model.
Model Type	Output only. Type of the model resource.
Training Runs	Information for all training runs in increasing order of startTime.
Feature Columns	Output only. Input feature columns for the model inference. If the model is trained with TRANSFORM clause, these are the input of the TRANSFORM clause.
Label Columns	Output only. Label columns that were used to train this model. The output of the model will have a 'predicted_' prefix to these columns.
Hparam Search Spaces	Output only. Trials of a hyperparameter tuning model sorted by trialId.
Default Trial ID	Output only. The default trialId to use in TVFs when the trialId is not passed in. For single-objective hyperparameter tuning models, this is the best trial ID. For multi-objective hyperparameter tuning models, this is the smallest trial ID among all Pareto optimal trials.
Hparam Trials	Output only. Trials of a hyperparameter tuning model sorted by trialId.
Optimal Trial IDs	Output only. For single-objective hyperparameter tuning models, it only contains the best trial. For multi-objective hyperparameter tuning models, it contains all Pareto optimal trials sorted by trialId.	`["000xxx"]`

Update Routine

Updates information in an existing routine.

Input	Comments	Default
Connection
Dataset ID	Dataset ID of the requested dataset
Project ID	Project ID of the datasets to be listed
Routine Reference	Reference describing the ID of this routine.
Routine Type	The type of routine. One of ROUTINE_TYPE_UNSPECIFIED / SCALAR_FUNCTION / PROCEDURE / TABLE_VALUED_FUNCTION
Default Trial ID	Required. The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, '

', y)) The definitionBody is concat(x, '
', y) (
is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return '
';
'The definitionBody is return '
';
Note that both
are replaced with linebreaks. | |
| ETag | Output only. A hash of the resource. | |
| Arguments | Input/output argument of a function or a stored procedure. | |
| Return Table Type | Optional. Can be set only if routineType = 'TABLE_VALUED_FUNCTION'. If absent, the return table type is inferred from definitionBody at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time. | |
| Return Type | Optional if language = 'SQL'; required otherwise. Cannot be set if routineType = 'TABLE_VALUED_FUNCTION'. If absent, the return type is inferred from definitionBody at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. | |
| Creation Time | Output only. The time when this dataset was created, in milliseconds since the epoch. | |
| Last Modified Time | Output only. The date when this dataset was last modified, in milliseconds since the epoch. | |
| Language | Optional. Defaults to 'SQL' if remoteFunctionOptions field is absent, not set otherwise. One of LANGUAGE_UNSPECIFIED / SQL / JAVASCRIPT / PYTHON / JAVA / SCALA | |
| Imported Libraries | Optional. If language = 'JAVASCRIPT', this field stores the path of the imported JAVASCRIPT libraries. | ["000xxx"] |
| Description | Optional. The description of the routine, if defined. | |
| Determinism Level | Optional. The determinism level of the JavaScript UDF, if defined. One of DETERMINISM_LEVEL_UNSPECIFIED / DETERMINISTIC / NOT_DETERMINISTIC | |
| Remote Function Options | Optional. Remote function specific options. | |
| Spark Options | Optional. Spark specific options. | |

Update Table

Updates information in an existing table.

Input	Comments	Default
Connection
Dataset ID	Dataset ID of the table to update.
Project ID	Project ID of the table to update.
Table ID	Table ID of the table to update.
Kind	Output only. The resource type.
Table Reference	Reference describing the ID of this routine.
Friendly Name	Optional. A descriptive name for the dataset.
Description	Optional. A descriptive name for the dataset.
Labels	The labels associated with this dataset. You can use these to organize and group your datasets. You can set this property when inserting or updating a dataset. See Creating and Updating Dataset Labels for more information.
Schema	Optional. Describes the schema of this table.
Time Partitioning	If specified, configures time-based partitioning for this table.
Range Partitioning	If specified, configures range partitioning for this table.
Clustering	Clustering specification for the table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
Require Partition Filter	Optional. If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.	false
Expiration Time	Optional. The time when this model expires, in milliseconds since the epoch. If not present, the model will persist indefinitely. Expired models will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created models.
View	Optional. The view definition.
Materialized View	Optional. The materialized view definition.
External Data Configuration	Optional. Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
Encryption Configuration	Custom encryption configuration (e.g., Cloud KMS keys). This shows the encryption configuration of the model data while stored in BigQuery storage. This field can be used with models.patch to update encryption key for an already encrypted model.
Default Collation	Optional. The maximum staleness of data that could be returned when the table (or stale MV) is queried. Staleness encoded as a string encoding of sql IntervalValue type.
Default Rounding Mode	Optional. Defines the default rounding mode specification of new tables created within this dataset. During table creation, if this field is specified, the table within this dataset will inherit the default rounding mode of the dataset. Setting the default rounding mode on a table overrides this option. Existing tables in the dataset are unaffected. If columns are defined during that table creation, they will immediately inherit the table's default rounding mode, unless otherwise specified.
Max Staleness	Optional. Defines the default collation specification of future tables created in the dataset. If a table is created in this dataset without table-level default collation, then the table inherits the dataset default collation, which is applied to the string fields that do not have explicit collation specified. A change to this field affects only tables created afterwards, and does not alter the existing tables. The following values are supported: 'und:ci': undetermined locale, case insensitive.'' empty string. Default to case-sensitive behavior.

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