Resource: BigQueryExport
Configures how to deliver Findings to BigQuery Instance.
JSON representation |
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{ "name": string, "description": string, "filter": string, "dataset": string, "createTime": string, "updateTime": string, "mostRecentEditor": string, "principal": string } |
Fields | |
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name |
Identifier. The relative resource name of this export. See: https://cloud.google.com/apis/design/resource_names#relative_resource_name. The following list shows some examples: + This field is provided in responses, and is ignored when provided in create requests. |
description |
The description of the export (max of 1024 characters). |
filter |
Expression that defines the filter to apply across create/update events of findings. The expression is a list of zero or more restrictions combined via logical operators Restrictions have the form The supported operators are:
The supported value types are:
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dataset |
The dataset to write findings' updates to. Its format is "projects/[projectId]/datasets/[bigquery_dataset_id]". BigQuery dataset unique ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). |
createTime |
Output only. The time at which the BigQuery export was created. This field is set by the server and will be ignored if provided on export on creation. Uses RFC 3339, where generated output will always be Z-normalized and uses 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: |
updateTime |
Output only. The most recent time at which the BigQuery export was updated. This field is set by the server and will be ignored if provided on export creation or update. Uses RFC 3339, where generated output will always be Z-normalized and uses 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: |
mostRecentEditor |
Output only. Email address of the user who last edited the BigQuery export. This field is set by the server and will be ignored if provided on export creation or update. |
principal |
Output only. The service account that needs permission to create table and upload data to the BigQuery dataset. |