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BigQuery
Integromat Support Team
Updated
The BigQuery modules enable you to monitor tables and completed query jobs, and create, retrieve, update, or delete datasets and tables in your BigQuery account.
Getting Started with BigQuery
Prerequisites
- A Google account
- A Google Cloud Platform project created
In order to use BigQuery with Integromat, it is necessary to have a Google account. If you do not have one, you can create a Google account at google.com.
The module dialog fields that are displayed in bold (in the Integromat scenario, not in this documentation article) are mandatory!
Connecting BigQuery to Integromat
1. Go to Integromat, and open the BigQuery module's Create a connection dialog.
2. Enter a name for the connection in the Connection name field, and click Continue.
After you click the Continue button, Integromat will redirect you to the Google website, where you will be prompted to grant Integromat access to your account.
Confirm the dialog by clicking the Allow button.
Dataset
List Datasets
Retrieves all datasets in the specified project.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) you want to list the BigQuery datasets from. |
| Show All | Enable this option to retrieve hidden datasets also. |
| Limit | Set the maximum number of datasets Integromat will return during one execution cycle. |
Get a Dataset
Retrieves dataset details.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) you want to retrieve dataset details from. |
| Dataset ID | Select or map the ID of the dataset you want to retrieve details for. |
Create a Dataset
Creates a new dataset.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) you want to create a dataset for. |
| Create Dataset ID | Enter the dataset reference, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters. |
| Default Table Expiration Day | The default lifetime of all tables in the dataset, in days. 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. |
| Location | Select the geographic location where the dataset should reside. |
| Labels | Add labels to the dataset if needed. You can use these to organize and group your datasets. |
| Description | Enter a user-friendly description of the dataset. |
Update a Dataset
Updates dataset details.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) that contains the dataset you want to update. |
| Dataset ID | Enter (map) or select the dataset ID of the dataset you want to update. |
| Labels | Specify labels. You can use these to organize and group your datasets. |
| Default Table Expiration Day | The default lifetime of all tables in the dataset, in days. 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. |
| Description | Enter a user-friendly description of the dataset. |
Delete Dataset
Deletes the specified dataset.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) that contains the dataset you want to delete. |
| Dataset ID | Enter (map) or select the dataset ID of the dataset you want to delete. |
Table
Watch Tables
Retrieves tables details when a new table is created in the specified dataset.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) that contains the dataset you want to watch for new tables. |
| Dataset ID | Select or map the ID of the dataset you want to watch for new tables. |
| Limit | Set the maximum number of tables Integromat will return during one execution cycle. |
List Tables
Retrieves all tables in the specified dataset.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) that contains the dataset you want to retrieve tables from. |
| Dataset ID | Select or map the ID of the dataset you want to retrieve tables from. |
| Limit | Set the maximum number of tables Integromat will return during one execution cycle. |
Get a Table
Retrieves table details.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) that contains the dataset you want to retrieve table details from. |
| Dataset ID | Select or map the ID of the dataset you want to retrieve table details from. |
| Table ID | Select or map the ID of the table you want to retrieve details for. |
Create a Table
Creates a new, empty table in the specified dataset.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) that contains the dataset where you want to create a table. |
| Dataset ID | Select or map the ID of the dataset where you want to create a table. |
| Create Table ID | Enter the ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters. |
| Fields | Specify the fields of the table. |
| Require Partition Filter | If enabled, queries over this table require a partition filter that can be used for partition elimination to be specified. |
| Expiration Days | Enter the number of days for which to keep the storage for a partition. |
| Labels | The labels associated with this table. You can use these to organize and group your tables. Label keys and values can be no longer than 63 characters, and can only contain lowercase letters, numeric characters, underscores, and dashes. International characters are allowed. |
| Description | Enter a user-friendly description of this table. |
Update a Table
Updates an existing table.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) that contains the dataset where you want to update a table. |
| Dataset ID | Select or map the ID of the dataset where you want to update a table. |
| Table ID | Enter the ID of the table you want to update. |
| Fields | Specify the fields of the table. |
| Require Partition Filter | If enabled, queries over this table require a partition filter that can be used for partition elimination to be specified. |
| Expiration Days | Enter the number of days for which to keep the storage for a partition. |
| Labels | The labels associated with this table. You can use these to organize and group your tables. Label keys and values can be no longer than 63 characters, and can only contain lowercase letters, numeric characters, underscores, and dashes. International characters are allowed. |
| Description | Enter a user-friendly description of this table. |
Delete a Table
Delete a table.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) that contains the dataset you want to delete a table from. |
| Dataset ID | Select or map the ID of the dataset you want to delete a table from. |
| Table ID | Enter the ID of the table you want to delete. |
Table Data
List Table Data
Retrieves the content of a table in rows.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) that contains the dataset you want to list table data from. |
| Dataset ID | Select or map the ID of the dataset you want to list table data from. |
| Table ID | Enter the ID of the table you want to retrieve rows from. |
| Limit | Set the maximum number of row Integromat will return during one execution cycle. |
Create a Row
To use this module, the billing must be enabled. Enable billing at console.cloud.google.com/billing.
Creates a new row in the table.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) that contains the dataset where you want to create a table row. |
| Dataset ID | Select or map the ID of the dataset where you want to create a table row. |
| Table ID | Enter the ID of the table you want to add a row to. |
| Values of Row | Enter desired values. |
Query Job
Watch Query Job Completed
Returns query job details when the query job has been processed.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) you want to watch for jobs. |
| Filter | Select whether to return successful (done) jobs, unsuccessful (pending, running), or both types of jobs. |
| Projection | Restricts information returned to a set of selected fields. |
| Limit | Set the maximum number of jobs Integromat will return during one execution cycle. |
Write Query
Runs a BigQuery SQL query synchronously and returns query results if the query completes within a specified timeout.
| Connection | Establish a connection to your BigQuery. |
| Project ID | Select or map the ID of the Google project (created via Google Cloud Platform) that contains the dataset you want to execute a query for. |
| Query |
A query string, following the BigQuery query syntax, of the query to execute. For example: SELECT count(f1) FROM [myProjectId:myDatasetId.myTableId] |
Other
Make an API Call
Allows you to perform a custom API call.
| Connection | Establish a connection to your BigQuery. |
| URL |
Enter a path relative to For the list of available endpoints, refer to the BigQuery API Documentation.
|
| Method |
Select the HTTP method you want to use: GET POST PUT PATCH DELETE |
| Headers | Enter the desired request headers. You don't have to add authorization headers; we have already done that for you. |
| Query String | Enter the request query string. |
| Body | Enter the body content for your API call. |
Example of Use - List Tables
The following API call returns all tables in the specified project's dataset in your BigQuery:
URL:/v2/projects/{project_id}/datasets/{dataset_id}/tables/
Method:GET
The result can be found in the module's Output under Bundle > Body > tables.
In our example, four tables were returned:
