Google BigQuery
Integration for Google BigQuery, a data warehouse for querying and analyzing large databases. In all commands, for any argument not specified, the BigQuery default value for that argument will be applied.
Database · Google BigQuery
Details
| ID | Google BigQuery |
|---|---|
| Provider | |
| Category | Database |
| From Version | 5.0.0 |
| Docker Image | demisto/bigquery:1.0.0.10408886 |
| Supported Modules | Agentix XSIAM |
README
Google BigQuery is a data warehouse for querying and analyzing large databases.
Configure Google BigQuery on Cortex XSOAR
- Navigate to Settings > Integrations > Servers & Services.
- Search for Google BigQuery.
- Click Add instance to create and configure a new integration instance.
- Name: a textual name for the integration instance.
- Google service account JSON (a credentials JSON generated from Google API Manager or from GCP console)
- Region: The geographic location where the connectivity test should run.
- Click Test to validate the URLs, token, and connection.
Commands
You can execute these commands from the Cortex XSOAR CLI, as part of an automation, or in a playbook.
After you successfully execute a command, a DBot message appears in the War Room with the command details.
1. Perform a query in BigQuery
Performs a query on BigQuery.
Base Command
bigquery-query
Input
| Argument Name | Description | Required |
|---|---|---|
| query | A query string (in BigQuery query syntax). For more information about the standard syntax, see the BigQuery documentation. | Required |
| location | The geographic location where the job should run. Required for locations other than US and EU. | Optional |
| allow_large_results | Allow query results tables larger than 128 MB compressed (legacy SQL only) | Optional |
| default_dataset | A string of the fully-qualified dataset ID in standard SQL format. The value must include a project ID and dataset ID, separated by periods. | Optional |
| destination_table | The table to which the results are written. Default value is “None”. | Optional |
| kms_key_name | Custom encryption configuration for the destination table. | Optional |
| dry_run | If “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 is returned. The default value is “false”. | Optional |
| priority | Priority of the query (“INTERACTIVE” or “BATCH”). A query set as INTERACTIVE will be run on-demand, at the next possible time. A query set as BATCH will start as soon as idle resources are available, and changed to INTERACTIVE priority if it wasn’t started within 24 hours. The default value is “INTERACTIVE”. | Optional |
| use_query_cache | Whether to look for the query results in the cache. | Optional |
| use_legacy_sql | Whether to use legacy SQL syntax. | Optional |
| job_id | The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters. | Optional |
| write_disposition | Specifies the action that occurs if the destination table already exists. | Optional |
Context Output
| Path | Type | Description |
|---|---|---|
| BigQuery.Query | String | The query performed. |
| BigQuery.Row | Unknown | The table rows the given query returned. |
Command Example
!bigquery-query query="SELECT * FROMbigquery-public-data.usa_names.usa_1910_2013WHERE state='TX' LIMIT 100"
Context Example
{
"BigQuery": {
"Query": "SELECT * FROM `bigquery-public-data.usa_names.usa_1910_2013` WHERE state='TX' LIMIT 100",
"Row": [
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Frances",
"Number": 197
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Alice",
"Number": 149
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Beatrice",
"Number": 123
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Ella",
"Number": 102
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Gertrude",
"Number": 97
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Josephine",
"Number": 86
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Lula",
"Number": 77
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Blanche",
"Number": 50
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Marjorie",
"Number": 40
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Christine",
"Number": 34
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Margarita",
"Number": 31
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Alta",
"Number": 29
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Sara",
"Number": 28
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Naomi",
"Number": 24
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Sofia",
"Number": 23
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Andrea",
"Number": 16
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Delfina",
"Number": 16
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Dominga",
"Number": 16
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Elnora",
"Number": 16
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Adele",
"Number": 15
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Rafaela",
"Number": 12
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Dixie",
"Number": 11
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Luisa",
"Number": 11
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Bess",
"Number": 10
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Ernestine",
"Number": 10
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Lorine",
"Number": 9
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Patsy",
"Number": 9
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Cecelia",
"Number": 8
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Enriqueta",
"Number": 8
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Lucinda",
"Number": 8
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Alyce",
"Number": 7
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Oneta",
"Number": 7
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Apolonia",
"Number": 6
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Gloria",
"Number": 6
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Rhoda",
"Number": 6
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Buna",
"Number": 5
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Maye",
"Number": 5
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Pansy",
"Number": 5
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Gladys",
"Number": 240
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Maria",
"Number": 223
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Helen",
"Number": 189
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Velma",
"Number": 133
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Clara",
"Number": 129
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Anna",
"Number": 117
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Evelyn",
"Number": 106
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Rosa",
"Number": 88
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Mae",
"Number": 83
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Bernice",
"Number": 77
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Stella",
"Number": 69
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Vivian",
"Number": 63
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Mable",
"Number": 62
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Maggie",
"Number": 54
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Betty",
"Number": 50
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Guadalupe",
"Number": 50
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Lorene",
"Number": 46
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Susie",
"Number": 44
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Sadie",
"Number": 42
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Erma",
"Number": 38
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Verna",
"Number": 37
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Amelia",
"Number": 33
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Estelle",
"Number": 31
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Nell",
"Number": 31
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Margie",
"Number": 28
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Celia",
"Number": 26
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Lessie",
"Number": 24
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Eloise",
"Number": 22
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Millie",
"Number": 22
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Olga",
"Number": 21
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Letha",
"Number": 20
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Rachel",
"Number": 19
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Luz",
"Number": 16
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Gussie",
"Number": 15
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Sylvia",
"Number": 14
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Aline",
"Number": 13
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Barbara",
"Number": 11
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Iris",
"Number": 11
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Leila",
"Number": 10
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Mozelle",
"Number": 10
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Simona",
"Number": 9
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Catalina",
"Number": 8
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Hester",
"Number": 8
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Willia",
"Number": 8
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Allene",
"Number": 7
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Avis",
"Number": 7
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "George",
"Number": 7
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Isabella",
"Number": 7
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Polly",
"Number": 7
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Syble",
"Number": 7
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Teodora",
"Number": 7
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Lennie",
"Number": 5
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Ricarda",
"Number": 5
},
{
"Gender": "F",
"State": "TX",
"Year": 1910,
"Name": "Valerie",
"Number": 5
},
{
"Gender": "M",
"State": "TX",
"Year": 1910,
"Name": "Robert",
"Number": 276
},
{
"Gender": "M",
"State": "TX",
"Year": 1910,
"Name": "Willie",
"Number": 199
},
{
"Gender": "M",
"State": "TX",
"Year": 1910,
"Name": "Fred",
"Number": 78
},
{
"Gender": "M",
"State": "TX",
"Year": 1910,
"Name": "Raymond",
"Number": 78
},
{
"Gender": "M",
"State": "TX",
"Year": 1910,
"Name": "Richard",
"Number": 75
},
{
"Gender": "M",
"State": "TX",
"Year": 1910,
"Name": "Sam",
"Number": 56
},
{
"Gender": "M",
"State": "TX",
"Year": 1910,
"Name": "Ernest",
"Number": 55
},
{
"Gender": "M",
"State": "TX",
"Year": 1910,
"Name": "Leroy",
"Number": 29
}
]
}
}
Human Readable Output
BigQuery Query Results
| State | Gender | Year | Name | Number |
|---|---|---|---|---|
| TX | F | 1910 | Frances | 197 |
| TX | F | 1910 | Alice | 149 |
| TX | F | 1910 | Beatrice | 123 |
| TX | F | 1910 | Ella | 102 |
| TX | F | 1910 | Gertrude | 97 |
| TX | F | 1910 | Josephine | 86 |
| TX | F | 1910 | Lula | 77 |
| TX | F | 1910 | Blanche | 50 |
| TX | F | 1910 | Marjorie | 40 |
| TX | F | 1910 | Christine | 34 |
| TX | F | 1910 | Margarita | 31 |
| TX | F | 1910 | Alta | 29 |
| TX | F | 1910 | Sara | 28 |
| TX | F | 1910 | Naomi | 24 |
| TX | F | 1910 | Sofia | 23 |
| TX | F | 1910 | Andrea | 16 |
| TX | F | 1910 | Delfina | 16 |
| TX | F | 1910 | Dominga | 16 |
| TX | F | 1910 | Elnora | 16 |
| TX | F | 1910 | Adele | 15 |
| TX | F | 1910 | Rafaela | 12 |
| TX | F | 1910 | Dixie | 11 |
| TX | F | 1910 | Luisa | 11 |
| TX | F | 1910 | Bess | 10 |
| TX | F | 1910 | Ernestine | 10 |
| TX | F | 1910 | Lorine | 9 |
| TX | F | 1910 | Patsy | 9 |
| TX | F | 1910 | Cecelia | 8 |
| TX | F | 1910 | Enriqueta | 8 |
| TX | F | 1910 | Lucinda | 8 |
| TX | F | 1910 | Alyce | 7 |
| TX | F | 1910 | Oneta | 7 |
| TX | F | 1910 | Apolonia | 6 |
| TX | F | 1910 | Gloria | 6 |
| TX | F | 1910 | Rhoda | 6 |
| TX | F | 1910 | Buna | 5 |
| TX | F | 1910 | Maye | 5 |
| TX | F | 1910 | Pansy | 5 |
| TX | F | 1910 | Gladys | 240 |
| TX | F | 1910 | Maria | 223 |
| TX | F | 1910 | Helen | 189 |
| TX | F | 1910 | Velma | 133 |
| TX | F | 1910 | Clara | 129 |
| TX | F | 1910 | Anna | 117 |
| TX | F | 1910 | Evelyn | 106 |
| TX | F | 1910 | Rosa | 88 |
| TX | F | 1910 | Mae | 83 |
| TX | F | 1910 | Bernice | 77 |
| TX | F | 1910 | Stella | 69 |
| TX | F | 1910 | Vivian | 63 |
| TX | F | 1910 | Mable | 62 |
| TX | F | 1910 | Maggie | 54 |
| TX | F | 1910 | Betty | 50 |
| TX | F | 1910 | Guadalupe | 50 |
| TX | F | 1910 | Lorene | 46 |
| TX | F | 1910 | Susie | 44 |
| TX | F | 1910 | Sadie | 42 |
| TX | F | 1910 | Erma | 38 |
| TX | F | 1910 | Verna | 37 |
| TX | F | 1910 | Amelia | 33 |
| TX | F | 1910 | Estelle | 31 |
| TX | F | 1910 | Nell | 31 |
| TX | F | 1910 | Margie | 28 |
| TX | F | 1910 | Celia | 26 |
| TX | F | 1910 | Lessie | 24 |
| TX | F | 1910 | Eloise | 22 |
| TX | F | 1910 | Millie | 22 |
| TX | F | 1910 | Olga | 21 |
| TX | F | 1910 | Letha | 20 |
| TX | F | 1910 | Rachel | 19 |
| TX | F | 1910 | Luz | 16 |
| TX | F | 1910 | Gussie | 15 |
| TX | F | 1910 | Sylvia | 14 |
| TX | F | 1910 | Aline | 13 |
| TX | F | 1910 | Barbara | 11 |
| TX | F | 1910 | Iris | 11 |
| TX | F | 1910 | Leila | 10 |
| TX | F | 1910 | Mozelle | 10 |
| TX | F | 1910 | Simona | 9 |
| TX | F | 1910 | Catalina | 8 |
| TX | F | 1910 | Hester | 8 |
| TX | F | 1910 | Willia | 8 |
| TX | F | 1910 | Allene | 7 |
| TX | F | 1910 | Avis | 7 |
| TX | F | 1910 | George | 7 |
| TX | F | 1910 | Isabella | 7 |
| TX | F | 1910 | Polly | 7 |
| TX | F | 1910 | Syble | 7 |
| TX | F | 1910 | Teodora | 7 |
| TX | F | 1910 | Lennie | 5 |
| TX | F | 1910 | Ricarda | 5 |
| TX | F | 1910 | Valerie | 5 |
| TX | M | 1910 | Robert | 276 |
| TX | M | 1910 | Willie | 199 |
| TX | M | 1910 | Fred | 78 |
| TX | M | 1910 | Raymond | 78 |
| TX | M | 1910 | Richard | 75 |
| TX | M | 1910 | Sam | 56 |
| TX | M | 1910 | Ernest | 55 |
| TX | M | 1910 | Leroy | 29 |
Configuration parameters
google_service_creds— Google service account JSON (a credentials JSON generated from Google API Manager or from GCP console)credentials_google_service—region— Regionfirst_fetch— First fetch timestamp (<number> <time unit>. For example, 12 hours, 7 days)incidentType— Incident typeincidentFetchInterval— Incidents Fetch Intervalmax_fetch— Fetch Limit (Max.- 200, Recommended less than 50)isFetch— Fetch incidentsfetch_query— Fetch queryfetch_time_field— Fetch time field
Commands (1)
-
bigquery-queryPerforms a query on BigQuery.
name: Google BigQuery display: Google BigQuery commonfields: id: Google BigQuery version: -1 category: Database provider: Google sectionorder: - Connect - Collect description: Integration for Google BigQuery, a data warehouse for querying and analyzing large databases. In all commands, for any argument not specified, the BigQuery default value for that argument will be applied. configuration: - display: Google service account JSON (a credentials JSON generated from Google API Manager or from GCP console) name: google_service_creds defaultvalue: "" type: 4 hidden: true required: false section: Connect - displaypassword: Google service account JSON (a credentials JSON generated from Google API Manager or from GCP console) name: credentials_google_service hiddenusername: true type: 9 required: false section: Connect - display: Region name: region options: - us-central1 - us-east1 - us-east4 - us-east5 - us-south1 - us-west1 - us-west2 - us-west3 - us-west4 - northamerica-northeast1 - northamerica-northeast2 - southamerica-east1 - europe-west1 - europe-west2 - europe-west3 - europe-west4 - europe-west6 - europe-west8 - europe-west9 - europe-north1 - europe-central2 - asia-east1 - asia-east2 - asia-northeast1 - asia-northeast2 - asia-northeast3 - asia-south1 - asia-southeast1 - australia-southeast1 type: 15 section: Connect advanced: true required: false additionalinfo: The geographic location where the connectivity test should run. - display: First fetch timestamp (<number> <time unit>. For example, 12 hours, 7 days) name: first_fetch defaultvalue: '1 days' type: 0 required: false section: Collect - display: Incident type name: incidentType type: 13 required: false section: Collect - display: Incidents Fetch Interval name: incidentFetchInterval defaultvalue: '1' required: false type: 19 section: Collect advanced: true - defaultvalue: '50' display: Fetch Limit (Max.- 200, Recommended less than 50) name: max_fetch type: 0 required: false section: Collect - display: Fetch incidents name: isFetch type: 8 required: false section: Collect - display: Fetch query name: fetch_query type: 0 required: false section: Collect - display: Fetch time field additionalinfo: Will be used for determining the time-specifying field of each row. Default is CreationTime. name: fetch_time_field defaultvalue: 'CreationTime' section: Collect type: 0 required: false script: script: '' type: python commands: - name: bigquery-query arguments: - name: query required: true description: A query string (in BigQuery query syntax). For more information about the standard syntax, see the BigQuery documentation - https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax. - name: location description: The geographic location where the job should run. Required for locations other than US and EU. - name: allow_large_results auto: PREDEFINED predefined: - "True" - "False" description: Allow query results tables larger than 128 MB compressed (legacy SQL only). - name: default_dataset description: A string of the fully-qualified dataset ID in standard SQL format. The value must include a project ID and dataset ID, separated by periods. - name: destination_table description: The table to which the results are written. Default value is "None". - name: kms_key_name description: Custom encryption configuration for the destination table. - name: dry_run auto: PREDEFINED predefined: - "True" - "False" description: If "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 is returned. The default value is "false". - name: priority auto: PREDEFINED predefined: - BATCH - INTERACTIVE description: Priority of the query (“INTERACTIVE” or “BATCH”). A query set as INTERACTIVE will be run on-demand, at the next possible time. A query set as BATCH will start as soon as idle resources are available, and changed to INTERACTIVE priority if it wasn’t started within 24 hours. The default value is “INTERACTIVE”. - name: use_query_cache auto: PREDEFINED predefined: - "True" - "False" description: Whether to look for the query results in the cache. - name: use_legacy_sql auto: PREDEFINED predefined: - "True" - "False" description: Whether to use legacy SQL syntax. - name: job_id description: The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters. - name: write_disposition auto: PREDEFINED predefined: - WRITE_EMPTY - WRITE_TRUNCATE - WRITE_APPEND description: Specifies the action that occurs if the destination table already exists. - name: project_id description: ID of the project used to execute the current query. - name: context_key_format auto: PREDEFINED predefined: - underscore - CamelCase description: Choose whether the key in the context will be in an underscore or a CamelCase format. defaultValue: 'CamelCase' - name: datetime_format description: The requested date and time format for datetime objects returned from the query. defaultValue: "%m/%d/%Y %H:%M:%S" - name: date_only_format description: The requested format for date objects returned from the query, including only the date without time. defaultValue: "%m/%d/%Y" outputs: - contextPath: BigQuery.Query description: The query performed. type: String - contextPath: BigQuery.Row description: The table rows the given query returned. type: Unknown description: Performs a query on BigQuery. dockerimage: demisto/bigquery:1.0.0.10408886 subtype: python3 isfetch: true fromversion: 5.0.0 tests: - No tests (auto formatted)