This product is not supported for your selected Datadog site. ().

gcp_dlp_job_trigger

ancestors

Type: UNORDERED_LIST_STRING

create_time

Type: TIMESTAMP
Provider name: createTime
Description: Output only. The creation timestamp of a triggeredJob.

description

Type: STRING
Provider name: description
Description: User provided description (max 256 chars)

errors

Type: UNORDERED_LIST_STRUCT
Provider name: errors
Description: Output only. A stream of errors encountered when the trigger was activated. Repeated errors may result in the JobTrigger automatically being paused. Will return the last 100 errors. Whenever the JobTrigger is modified this list will be cleared.

  • details
    Type: STRUCT
    Provider name: details
    Description: Detailed error codes and messages.
    • code
      Type: INT32
      Provider name: code
      Description: The status code, which should be an enum value of google.rpc.Code.
    • message
      Type: STRING
      Provider name: message
      Description: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  • extra_info
    Type: STRING
    Provider name: extraInfo
    Description: Additional information about the error.
    Possible values:
    • ERROR_INFO_UNSPECIFIED - Unused.
    • IMAGE_SCAN_UNAVAILABLE_IN_REGION - Image scan is not available in the region.
    • FILE_STORE_CLUSTER_UNSUPPORTED - File store cluster is not supported for profile generation.
  • timestamps
    Type: UNORDERED_LIST_TIMESTAMP
    Provider name: timestamps
    Description: The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.

gcp_display_name

Type: STRING
Provider name: displayName
Description: Display name (max 100 chars)

gcp_status

Type: STRING
Provider name: status
Description: Required. A status for this trigger.
Possible values:

  • STATUS_UNSPECIFIED - Unused.
  • HEALTHY - Trigger is healthy.
  • PAUSED - Trigger is temporarily paused.
  • CANCELLED - Trigger is cancelled and can not be resumed.

inspect_job

Type: STRUCT
Provider name: inspectJob
Description: For inspect jobs, a snapshot of the configuration.

  • actions
    Type: UNORDERED_LIST_STRUCT
    Provider name: actions
    Description: Actions to execute at the completion of the job.

    • deidentify
      Type: STRUCT
      Provider name: deidentify
      Description: Create a de-identified copy of the input data.

      • cloud_storage_output
        Type: STRING
        Provider name: cloudStorageOutput
        Description: Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for Cloud Storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
      • file_types_to_transform
        Type: UNORDERED_LIST_STRING
        Provider name: fileTypesToTransform
        Description: List of user-specified file type groups to transform. If specified, only the files with these file types are transformed. If empty, all supported files are transformed. Supported types may be automatically added over time. Any unsupported file types that are set in this field are excluded from de-identification. An error is recorded for each unsupported file in the TransformationDetails output table. Currently the only file types supported are: IMAGES, TEXT_FILES, CSV, TSV.
      • transformation_config
        Type: STRUCT
        Provider name: transformationConfig
        Description: User specified deidentify templates and configs for structured, unstructured, and image files.
        • deidentify_template
          Type: STRING
          Provider name: deidentifyTemplate
          Description: De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain record_transformations since it can be used for unstructured content such as free-form text files. If this template is not set, a default ReplaceWithInfoTypeConfig will be used to de-identify unstructured content.
        • image_redact_template
          Type: STRING
          Provider name: imageRedactTemplate
          Description: Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
        • structured_deidentify_template
          Type: STRING
          Provider name: structuredDeidentifyTemplate
          Description: Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the deidentify_template is set, then deidentify_template will also apply to the structured content. If neither template is set, a default ReplaceWithInfoTypeConfig will be used to de-identify structured content.
      • transformation_details_storage_config
        Type: STRUCT
        Provider name: transformationDetailsStorageConfig
        Description: Config for storing transformation details. This field specifies the configuration for storing detailed metadata about each transformation performed during a de-identification process. The metadata is stored separately from the de-identified content itself and provides a granular record of both successful transformations and any failures that occurred. Enabling this configuration is essential for users who need to access comprehensive information about the status, outcome, and specifics of each transformation. The details are captured in the TransformationDetails message for each operation. Key use cases: * Auditing and compliance * Provides a verifiable audit trail of de-identification activities, which is crucial for meeting regulatory requirements and internal data governance policies. * Logs what data was transformed, what transformations were applied, when they occurred, and their success status. This helps demonstrate accountability and due diligence in protecting sensitive data. * Troubleshooting and debugging * Offers detailed error messages and context if a transformation fails. This information is useful for diagnosing and resolving issues in the de-identification pipeline. * Helps pinpoint the exact location and nature of failures, speeding up the debugging process. * Process verification and quality assurance * Allows users to confirm that de-identification rules and transformations were applied correctly and consistently across the dataset as intended. * Helps in verifying the effectiveness of the chosen de-identification strategies. * Data lineage and impact analysis * Creates a record of how data elements were modified, contributing to data lineage. This is useful for understanding the provenance of de-identified data. * Aids in assessing the potential impact of de-identification choices on downstream analytical processes or data usability. * Reporting and operational insights * You can analyze the metadata stored in a queryable BigQuery table to generate reports on transformation success rates, common error types, processing volumes (e.g., transformedBytes), and the types of transformations applied. * These insights can inform optimization of de-identification configurations and resource planning. To take advantage of these benefits, set this configuration. The stored details include a description of the transformation, success or error codes, error messages, the number of bytes transformed, the location of the transformed content, and identifiers for the job and source data.
        • table
          Type: STRUCT
          Provider name: table
          Description: The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
          • dataset_id
            Type: STRING
            Provider name: datasetId
            Description: Dataset ID of the table.
          • project_id
            Type: STRING
            Provider name: projectId
            Description: The Google Cloud project ID of the project containing the table. If omitted, project ID is inferred from the API call.
          • table_id
            Type: STRING
            Provider name: tableId
            Description: Name of the table.

    • job_notification_emails
      Type: STRUCT
      Provider name: jobNotificationEmails
      Description: Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.

    • pub_sub
      Type: STRUCT
      Provider name: pubSub
      Description: Publish a notification to a Pub/Sub topic.

      • topic
        Type: STRING
        Provider name: topic
        Description: Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.

    • publish_findings_to_cloud_data_catalog
      Type: STRUCT
      Provider name: publishFindingsToCloudDataCatalog
      Description: Publish findings to Cloud Datahub.

    • publish_summary_to_cscc
      Type: STRUCT
      Provider name: publishSummaryToCscc
      Description: Publish summary to Cloud Security Command Center (Alpha).

    • publish_to_stackdriver
      Type: STRUCT
      Provider name: publishToStackdriver
      Description: Enable Stackdriver metric dlp.googleapis.com/finding_count.

    • save_findings
      Type: STRUCT
      Provider name: saveFindings
      Description: Save resulting findings in a provided location.

      • output_config
        Type: STRUCT
        Provider name: outputConfig
        Description: Location to store findings outside of DLP.
        • output_schema
          Type: STRING
          Provider name: outputSchema
          Description: Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the Finding object. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage.
          Possible values:
          • OUTPUT_SCHEMA_UNSPECIFIED - Unused.
          • BASIC_COLUMNS - Basic schema including only info_type, quote, certainty, and timestamp.
          • GCS_COLUMNS - Schema tailored to findings from scanning Cloud Storage.
          • DATASTORE_COLUMNS - Schema tailored to findings from scanning Google Datastore.
          • BIG_QUERY_COLUMNS - Schema tailored to findings from scanning Google BigQuery.
          • ALL_COLUMNS - Schema containing all columns.
        • table
          Type: STRUCT
          Provider name: table
          Description: Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the Finding object. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
          • dataset_id
            Type: STRING
            Provider name: datasetId
            Description: Dataset ID of the table.
          • project_id
            Type: STRING
            Provider name: projectId
            Description: The Google Cloud project ID of the project containing the table. If omitted, project ID is inferred from the API call.
          • table_id
            Type: STRING
            Provider name: tableId
            Description: Name of the table.
  • inspect_config
    Type: STRUCT
    Provider name: inspectConfig
    Description: How and what to scan for.
    • content_options
      Type: UNORDERED_LIST_STRING
      Provider name: contentOptions
      Description: Deprecated and unused.
    • custom_info_types
      Type: UNORDERED_LIST_STRUCT
      Provider name: customInfoTypes
      Description: CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more.
      • detection_rules
        Type: UNORDERED_LIST_STRUCT
        Provider name: detectionRules
        Description: Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the surrogate_type CustomInfoType.
        • hotword_rule
          Type: STRUCT
          Provider name: hotwordRule
          Description: Hotword-based detection rule.
          • hotword_regex
            Type: STRUCT
            Provider name: hotwordRegex
            Description: Regular expression pattern defining what qualifies as a hotword.
            • group_indexes
              Type: UNORDERED_LIST_INT32
              Provider name: groupIndexes
              Description: The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
            • pattern
              Type: STRING
              Provider name: pattern
              Description: Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
          • likelihood_adjustment
            Type: STRUCT
            Provider name: likelihoodAdjustment
            Description: Likelihood adjustment to apply to all matching findings.
            • fixed_likelihood
              Type: STRING
              Provider name: fixedLikelihood
              Description: Set the likelihood of a finding to a fixed value.
              Possible values:
              • LIKELIHOOD_UNSPECIFIED - Default value; same as POSSIBLE.
              • VERY_UNLIKELY - Highest chance of a false positive.
              • UNLIKELY - High chance of a false positive.
              • POSSIBLE - Some matching signals. The default value.
              • LIKELY - Low chance of a false positive.
              • VERY_LIKELY - Confidence level is high. Lowest chance of a false positive.
            • relative_likelihood
              Type: INT32
              Provider name: relativeLikelihood
              Description: Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be POSSIBLE without the detection rule and relative_likelihood is 1, then it is upgraded to LIKELY, while a value of -1 would downgrade it to UNLIKELY. Likelihood may never drop below VERY_UNLIKELY or exceed VERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is VERY_LIKELY will result in a final likelihood of LIKELY.
          • proximity
            Type: STRUCT
            Provider name: proximity
            Description: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex “(\d{3}) \d{3}-\d{4}” if the area code is known to be the area code of a company’s office. In this case, use the hotword regex “(xxx)”, where “xxx” is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
      • dictionary
        Type: STRUCT
        Provider name: dictionary
        Description: A list of phrases to detect as a CustomInfoType.
        • cloud_storage_path
          Type: STRUCT
          Provider name: cloudStoragePath
          Description: Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
          • path
            Type: STRING
            Provider name: path
            Description: A URL representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
        • word_list
          Type: STRUCT
          Provider name: wordList
          Description: List of words or phrases to search for.
          • words
            Type: UNORDERED_LIST_STRING
            Provider name: words
            Description: Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
      • exclusion_type
        Type: STRING
        Provider name: exclusionType
        Description: If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
        Possible values:
        • EXCLUSION_TYPE_UNSPECIFIED - A finding of this custom info type will not be excluded from results.
        • EXCLUSION_TYPE_EXCLUDE - A finding of this custom info type will be excluded from final results, but can still affect rule execution.
      • info_type
        Type: STRUCT
        Provider name: infoType
        Description: CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in InspectContent.info_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list then the name is treated as a custom info type.
        • name
          Type: STRING
          Provider name: name
          Description: Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern [A-Za-z0-9$_-]{1,64}.
        • sensitivity_score
          Type: STRUCT
          Provider name: sensitivityScore
          Description: Optional custom sensitivity for this InfoType. This only applies to data profiling.
          • score
            Type: STRING
            Provider name: score
            Description: The sensitivity score applied to the resource.
            Possible values:
            • SENSITIVITY_SCORE_UNSPECIFIED - Unused.
            • SENSITIVITY_LOW - No sensitive information detected. The resource isn’t publicly accessible.
            • SENSITIVITY_UNKNOWN - Unable to determine sensitivity.
            • SENSITIVITY_MODERATE - Medium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
            • SENSITIVITY_HIGH - High risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
        • version
          Type: STRING
          Provider name: version
          Description: Optional version name for this InfoType.
      • likelihood
        Type: STRING
        Provider name: likelihood
        Description: Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to VERY_LIKELY if not specified.
        Possible values:
        • LIKELIHOOD_UNSPECIFIED - Default value; same as POSSIBLE.
        • VERY_UNLIKELY - Highest chance of a false positive.
        • UNLIKELY - High chance of a false positive.
        • POSSIBLE - Some matching signals. The default value.
        • LIKELY - Low chance of a false positive.
        • VERY_LIKELY - Confidence level is high. Lowest chance of a false positive.
      • regex
        Type: STRUCT
        Provider name: regex
        Description: Regular expression based CustomInfoType.
        • group_indexes
          Type: UNORDERED_LIST_INT32
          Provider name: groupIndexes
          Description: The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
        • pattern
          Type: STRING
          Provider name: pattern
          Description: Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
      • sensitivity_score
        Type: STRUCT
        Provider name: sensitivityScore
        Description: Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
        • score
          Type: STRING
          Provider name: score
          Description: The sensitivity score applied to the resource.
          Possible values:
          • SENSITIVITY_SCORE_UNSPECIFIED - Unused.
          • SENSITIVITY_LOW - No sensitive information detected. The resource isn’t publicly accessible.
          • SENSITIVITY_UNKNOWN - Unable to determine sensitivity.
          • SENSITIVITY_MODERATE - Medium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
          • SENSITIVITY_HIGH - High risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
      • stored_type
        Type: STRUCT
        Provider name: storedType
        Description: Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.
        • create_time
          Type: TIMESTAMP
          Provider name: createTime
          Description: Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.
        • name
          Type: STRING
          Provider name: name
          Description: Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.
      • surrogate_type
        Type: STRUCT
        Provider name: surrogateType
        Description: Message for detecting output from deidentification transformations that support reversing.
    • exclude_info_types
      Type: BOOLEAN
      Provider name: excludeInfoTypes
      Description: When true, excludes type information of the findings. This is not used for data profiling.
    • include_quote
      Type: BOOLEAN
      Provider name: includeQuote
      Description: When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
    • info_types
      Type: UNORDERED_LIST_STRUCT
      Provider name: infoTypes
      Description: Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
      • name
        Type: STRING
        Provider name: name
        Description: Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern [A-Za-z0-9$_-]{1,64}.
      • sensitivity_score
        Type: STRUCT
        Provider name: sensitivityScore
        Description: Optional custom sensitivity for this InfoType. This only applies to data profiling.
        • score
          Type: STRING
          Provider name: score
          Description: The sensitivity score applied to the resource.
          Possible values:
          • SENSITIVITY_SCORE_UNSPECIFIED - Unused.
          • SENSITIVITY_LOW - No sensitive information detected. The resource isn’t publicly accessible.
          • SENSITIVITY_UNKNOWN - Unable to determine sensitivity.
          • SENSITIVITY_MODERATE - Medium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
          • SENSITIVITY_HIGH - High risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
      • version
        Type: STRING
        Provider name: version
        Description: Optional version name for this InfoType.
    • limits
      Type: STRUCT
      Provider name: limits
      Description: Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don’t apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don’t include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren’t hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
      • max_findings_per_info_type
        Type: UNORDERED_LIST_STRUCT
        Provider name: maxFindingsPerInfoType
        Description: Configuration of findings limit given for specified infoTypes.
        • info_type
          Type: STRUCT
          Provider name: infoType
          Description: Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
          • name
            Type: STRING
            Provider name: name
            Description: Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern [A-Za-z0-9$_-]{1,64}.
          • sensitivity_score
            Type: STRUCT
            Provider name: sensitivityScore
            Description: Optional custom sensitivity for this InfoType. This only applies to data profiling.
            • score
              Type: STRING
              Provider name: score
              Description: The sensitivity score applied to the resource.
              Possible values:
              • SENSITIVITY_SCORE_UNSPECIFIED - Unused.
              • SENSITIVITY_LOW - No sensitive information detected. The resource isn’t publicly accessible.
              • SENSITIVITY_UNKNOWN - Unable to determine sensitivity.
              • SENSITIVITY_MODERATE - Medium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
              • SENSITIVITY_HIGH - High risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
          • version
            Type: STRING
            Provider name: version
            Description: Optional version name for this InfoType.
        • max_findings
          Type: INT32
          Provider name: maxFindings
          Description: Max findings limit for the given infoType.
      • max_findings_per_item
        Type: INT32
        Provider name: maxFindingsPerItem
        Description: Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn’t a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
      • max_findings_per_request
        Type: INT32
        Provider name: maxFindingsPerRequest
        Description: Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn’t a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
    • min_likelihood
      Type: STRING
      Provider name: minLikelihood
      Description: Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
      Possible values:
      • LIKELIHOOD_UNSPECIFIED - Default value; same as POSSIBLE.
      • VERY_UNLIKELY - Highest chance of a false positive.
      • UNLIKELY - High chance of a false positive.
      • POSSIBLE - Some matching signals. The default value.
      • LIKELY - Low chance of a false positive.
      • VERY_LIKELY - Confidence level is high. Lowest chance of a false positive.
    • min_likelihood_per_info_type
      Type: UNORDERED_LIST_STRUCT
      Provider name: minLikelihoodPerInfoType
      Description: Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
      • info_type
        Type: STRUCT
        Provider name: infoType
        Description: Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
        • name
          Type: STRING
          Provider name: name
          Description: Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern [A-Za-z0-9$_-]{1,64}.
        • sensitivity_score
          Type: STRUCT
          Provider name: sensitivityScore
          Description: Optional custom sensitivity for this InfoType. This only applies to data profiling.
          • score
            Type: STRING
            Provider name: score
            Description: The sensitivity score applied to the resource.
            Possible values:
            • SENSITIVITY_SCORE_UNSPECIFIED - Unused.
            • SENSITIVITY_LOW - No sensitive information detected. The resource isn’t publicly accessible.
            • SENSITIVITY_UNKNOWN - Unable to determine sensitivity.
            • SENSITIVITY_MODERATE - Medium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
            • SENSITIVITY_HIGH - High risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
        • version
          Type: STRING
          Provider name: version
          Description: Optional version name for this InfoType.
      • min_likelihood
        Type: STRING
        Provider name: minLikelihood
        Description: Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
        Possible values:
        • LIKELIHOOD_UNSPECIFIED - Default value; same as POSSIBLE.
        • VERY_UNLIKELY - Highest chance of a false positive.
        • UNLIKELY - High chance of a false positive.
        • POSSIBLE - Some matching signals. The default value.
        • LIKELY - Low chance of a false positive.
        • VERY_LIKELY - Confidence level is high. Lowest chance of a false positive.
    • rule_set
      Type: UNORDERED_LIST_STRUCT
      Provider name: ruleSet
      Description: Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
      • info_types
        Type: UNORDERED_LIST_STRUCT
        Provider name: infoTypes
        Description: List of infoTypes this rule set is applied to.
        • name
          Type: STRING
          Provider name: name
          Description: Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern [A-Za-z0-9$_-]{1,64}.
        • sensitivity_score
          Type: STRUCT
          Provider name: sensitivityScore
          Description: Optional custom sensitivity for this InfoType. This only applies to data profiling.
          • score
            Type: STRING
            Provider name: score
            Description: The sensitivity score applied to the resource.
            Possible values:
            • SENSITIVITY_SCORE_UNSPECIFIED - Unused.
            • SENSITIVITY_LOW - No sensitive information detected. The resource isn’t publicly accessible.
            • SENSITIVITY_UNKNOWN - Unable to determine sensitivity.
            • SENSITIVITY_MODERATE - Medium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
            • SENSITIVITY_HIGH - High risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
        • version
          Type: STRING
          Provider name: version
          Description: Optional version name for this InfoType.
      • rules
        Type: UNORDERED_LIST_STRUCT
        Provider name: rules
        Description: Set of rules to be applied to infoTypes. The rules are applied in order.
        • exclusion_rule
          Type: STRUCT
          Provider name: exclusionRule
          Description: Exclusion rule.
          • dictionary
            Type: STRUCT
            Provider name: dictionary
            Description: Dictionary which defines the rule.
            • cloud_storage_path
              Type: STRUCT
              Provider name: cloudStoragePath
              Description: Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
              • path
                Type: STRING
                Provider name: path
                Description: A URL representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
            • word_list
              Type: STRUCT
              Provider name: wordList
              Description: List of words or phrases to search for.
              • words
                Type: UNORDERED_LIST_STRING
                Provider name: words
                Description: Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
          • exclude_by_hotword
            Type: STRUCT
            Provider name: excludeByHotword
            Description: Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
            • hotword_regex
              Type: STRUCT
              Provider name: hotwordRegex
              Description: Regular expression pattern defining what qualifies as a hotword.
              • group_indexes
                Type: UNORDERED_LIST_INT32
                Provider name: groupIndexes
                Description: The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
              • pattern
                Type: STRING
                Provider name: pattern
                Description: Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
            • proximity
              Type: STRUCT
              Provider name: proximity
              Description: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
          • exclude_info_types
            Type: STRUCT
            Provider name: excludeInfoTypes
            Description: Set of infoTypes for which findings would affect this rule.
            • info_types
              Type: UNORDERED_LIST_STRUCT
              Provider name: infoTypes
              Description: InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for InspectionRuleSet.info_types containing “PHONE_NUMBER”andexclusion_rulecontainingexclude_info_types.info_types` with “EMAIL_ADDRESS” the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to “555-222-2222@example.org” to generate only a single finding, namely email address.
              • name
                Type: STRING
                Provider name: name
                Description: Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern [A-Za-z0-9$_-]{1,64}.
              • sensitivity_score
                Type: STRUCT
                Provider name: sensitivityScore
                Description: Optional custom sensitivity for this InfoType. This only applies to data profiling.
                • score
                  Type: STRING
                  Provider name: score
                  Description: The sensitivity score applied to the resource.
                  Possible values:
                  • SENSITIVITY_SCORE_UNSPECIFIED - Unused.
                  • SENSITIVITY_LOW - No sensitive information detected. The resource isn’t publicly accessible.
                  • SENSITIVITY_UNKNOWN - Unable to determine sensitivity.
                  • SENSITIVITY_MODERATE - Medium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
                  • SENSITIVITY_HIGH - High risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
              • version
                Type: STRING
                Provider name: version
                Description: Optional version name for this InfoType.
          • matching_type
            Type: STRING
            Provider name: matchingType
            Description: How the rule is applied, see MatchingType documentation for details.
            Possible values:
            • MATCHING_TYPE_UNSPECIFIED - Invalid.
            • MATCHING_TYPE_FULL_MATCH - Full match. - Dictionary: join of Dictionary results matched complete finding quote - Regex: all regex matches fill a finding quote start to end - Exclude info type: completely inside affecting info types findings
            • MATCHING_TYPE_PARTIAL_MATCH - Partial match. - Dictionary: at least one of the tokens in the finding matches - Regex: substring of the finding matches - Exclude info type: intersects with affecting info types findings
            • MATCHING_TYPE_INVERSE_MATCH - Inverse match. - Dictionary: no tokens in the finding match the dictionary - Regex: finding doesn’t match the regex - Exclude info type: no intersection with affecting info types findings
          • regex
            Type: STRUCT
            Provider name: regex
            Description: Regular expression which defines the rule.
            • group_indexes
              Type: UNORDERED_LIST_INT32
              Provider name: groupIndexes
              Description: The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
            • pattern
              Type: STRING
              Provider name: pattern
              Description: Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
        • hotword_rule
          Type: STRUCT
          Provider name: hotwordRule
          Description: Hotword-based detection rule.
          • hotword_regex
            Type: STRUCT
            Provider name: hotwordRegex
            Description: Regular expression pattern defining what qualifies as a hotword.
            • group_indexes
              Type: UNORDERED_LIST_INT32
              Provider name: groupIndexes
              Description: The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
            • pattern
              Type: STRING
              Provider name: pattern
              Description: Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
          • likelihood_adjustment
            Type: STRUCT
            Provider name: likelihoodAdjustment
            Description: Likelihood adjustment to apply to all matching findings.
            • fixed_likelihood
              Type: STRING
              Provider name: fixedLikelihood
              Description: Set the likelihood of a finding to a fixed value.
              Possible values:
              • LIKELIHOOD_UNSPECIFIED - Default value; same as POSSIBLE.
              • VERY_UNLIKELY - Highest chance of a false positive.
              • UNLIKELY - High chance of a false positive.
              • POSSIBLE - Some matching signals. The default value.
              • LIKELY - Low chance of a false positive.
              • VERY_LIKELY - Confidence level is high. Lowest chance of a false positive.
            • relative_likelihood
              Type: INT32
              Provider name: relativeLikelihood
              Description: Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be POSSIBLE without the detection rule and relative_likelihood is 1, then it is upgraded to LIKELY, while a value of -1 would downgrade it to UNLIKELY. Likelihood may never drop below VERY_UNLIKELY or exceed VERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is VERY_LIKELY will result in a final likelihood of LIKELY.
          • proximity
            Type: STRUCT
            Provider name: proximity
            Description: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex “(\d{3}) \d{3}-\d{4}” if the area code is known to be the area code of a company’s office. In this case, use the hotword regex “(xxx)”, where “xxx” is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values).
  • inspect_template_name
    Type: STRING
    Provider name: inspectTemplateName
    Description: If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.
  • storage_config
    Type: STRUCT
    Provider name: storageConfig
    Description: The data to scan.
    • big_query_options
      Type: STRUCT
      Provider name: bigQueryOptions
      Description: BigQuery options.
      • excluded_fields
        Type: UNORDERED_LIST_STRUCT
        Provider name: excludedFields
        Description: References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
        • name
          Type: STRING
          Provider name: name
          Description: Name describing the field.
      • identifying_fields
        Type: UNORDERED_LIST_STRUCT
        Provider name: identifyingFields
        Description: Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.
        • name
          Type: STRING
          Provider name: name
          Description: Name describing the field.
      • included_fields
        Type: UNORDERED_LIST_STRUCT
        Provider name: includedFields
        Description: Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
        • name
          Type: STRING
          Provider name: name
          Description: Name describing the field.
      • rows_limit
        Type: INT64
        Provider name: rowsLimit
        Description: Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
      • rows_limit_percent
        Type: INT32
        Provider name: rowsLimitPercent
        Description: Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A known issue is causing the rowsLimitPercent field to behave unexpectedly. We recommend using rowsLimit instead.
      • sample_method
        Type: STRING
        Provider name: sampleMethod
        Description: How to sample the data.
        Possible values:
        • SAMPLE_METHOD_UNSPECIFIED - No sampling.
        • TOP - Scan groups of rows in the order BigQuery provides (default). Multiple groups of rows may be scanned in parallel, so results may not appear in the same order the rows are read.
        • RANDOM_START - Randomly pick groups of rows to scan.
      • table_reference
        Type: STRUCT
        Provider name: tableReference
        Description: Complete BigQuery table reference.
        • dataset_id
          Type: STRING
          Provider name: datasetId
          Description: Dataset ID of the table.
        • project_id
          Type: STRING
          Provider name: projectId
          Description: The Google Cloud project ID of the project containing the table. If omitted, project ID is inferred from the API call.
        • table_id
          Type: STRING
          Provider name: tableId
          Description: Name of the table.
    • cloud_storage_options
      Type: STRUCT
      Provider name: cloudStorageOptions
      Description: Cloud Storage options.
      • bytes_limit_per_file
        Type: INT64
        Provider name: bytesLimitPerFile
        Description: Max number of bytes to scan from a file. If a scanned file’s size is bigger than this value then the rest of the bytes are omitted. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can’t be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
      • bytes_limit_per_file_percent
        Type: INT32
        Provider name: bytesLimitPerFilePercent
        Description: Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can’t be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
      • file_set
        Type: STRUCT
        Provider name: fileSet
        Description: The set of one or more files to scan.
        • regex_file_set
          Type: STRUCT
          Provider name: regexFileSet
          Description: The regex-filtered set of files to scan. Exactly one of url or regex_file_set must be set.
          • bucket_name
            Type: STRING
            Provider name: bucketName
            Description: The name of a Cloud Storage bucket. Required.
          • exclude_regex
            Type: UNORDERED_LIST_STRING
            Provider name: excludeRegex
            Description: A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
          • include_regex
            Type: UNORDERED_LIST_STRING
            Provider name: includeRegex
            Description: A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including .* in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
        • url
          Type: STRING
          Provider name: url
          Description: The Cloud Storage url of the file(s) to scan, in the format gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.
      • file_types
        Type: UNORDERED_LIST_STRING
        Provider name: fileTypes
        Description: List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to ‘global’, ‘us’, ‘asia’, and ’europe’.
      • files_limit_percent
        Type: INT32
        Provider name: filesLimitPercent
        Description: Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
      • sample_method
        Type: STRING
        Provider name: sampleMethod
        Description: How to sample the data.
        Possible values:
        • SAMPLE_METHOD_UNSPECIFIED - No sampling.
        • TOP - Scan from the top (default).
        • RANDOM_START - For each file larger than bytes_limit_per_file, randomly pick the offset to start scanning. The scanned bytes are contiguous.
    • datastore_options
      Type: STRUCT
      Provider name: datastoreOptions
      Description: Google Cloud Datastore options.
      • kind
        Type: STRUCT
        Provider name: kind
        Description: The kind to process.
        • name
          Type: STRING
          Provider name: name
          Description: The name of the kind.
      • partition_id
        Type: STRUCT
        Provider name: partitionId
        Description: A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
        • namespace_id
          Type: STRING
          Provider name: namespaceId
          Description: If not empty, the ID of the namespace to which the entities belong.
        • project_id
          Type: STRING
          Provider name: projectId
          Description: The ID of the project to which the entities belong.
    • hybrid_options
      Type: STRUCT
      Provider name: hybridOptions
      Description: Hybrid inspection options.
      • description
        Type: STRING
        Provider name: description
        Description: A short description of where the data is coming from. Will be stored once in the job. 256 max length.
      • required_finding_label_keys
        Type: UNORDERED_LIST_STRING
        Provider name: requiredFindingLabelKeys
        Description: These are labels that each inspection request must include within their ‘finding_labels’ map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required.
      • table_options
        Type: STRUCT
        Provider name: tableOptions
        Description: If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
        • identifying_fields
          Type: UNORDERED_LIST_STRUCT
          Provider name: identifyingFields
          Description: The columns that are the primary keys for table objects included in ContentItem. A copy of this cell’s value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
          • name
            Type: STRING
            Provider name: name
            Description: Name describing the field.
    • timespan_config
      Type: STRUCT
      Provider name: timespanConfig
      Description: Configuration of the timespan of the items to include in scanning.
      • enable_auto_population_of_timespan_config
        Type: BOOLEAN
        Provider name: enableAutoPopulationOfTimespanConfig
        Description: When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. For BigQuery Inspect jobs triggered by automatic population will scan data that is at least three hours old when the job starts. This is because streaming buffer rows are not read during inspection and reading up to the current timestamp will result in skipped rows. See the known issue related to this operation.
      • end_time
        Type: TIMESTAMP
        Provider name: endTime
        Description: Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
      • start_time
        Type: TIMESTAMP
        Provider name: startTime
        Description: Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
      • timestamp_field
        Type: STRUCT
        Provider name: timestampField
        Description: Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: TIMESTAMP. See the known issue related to this operation.
        • name
          Type: STRING
          Provider name: name
          Description: Name describing the field.

labels

Type: UNORDERED_LIST_STRING

last_run_time

Type: TIMESTAMP
Provider name: lastRunTime
Description: Output only. The timestamp of the last time this trigger executed.

name

Type: STRING
Provider name: name
Description: Unique resource name for the triggeredJob, assigned by the service when the triggeredJob is created, for example projects/dlp-test-project/jobTriggers/53234423.

organization_id

Type: STRING

parent

Type: STRING

project_id

Type: STRING

project_number

Type: STRING

resource_name

Type: STRING

tags

Type: UNORDERED_LIST_STRING

triggers

Type: UNORDERED_LIST_STRUCT
Provider name: triggers
Description: A list of triggers which will be OR’ed together. Only one in the list needs to trigger for a job to be started. The list may contain only a single Schedule trigger and must have at least one object.

  • manual
    Type: STRUCT
    Provider name: manual
    Description: For use with hybrid jobs. Jobs must be manually created and finished.

  • schedule
    Type: STRUCT
    Provider name: schedule
    Description: Create a job on a repeating basis based on the elapse of time.

    • recurrence_period_duration
      Type: STRING
      Provider name: recurrencePeriodDuration
      Description: With this option a job is started on a regular periodic basis. For example: every day (86400 seconds). A scheduled start time will be skipped if the previous execution has not ended when its scheduled time occurs. This value must be set to a time duration greater than or equal to 1 day and can be no longer than 60 days.

update_time

Type: TIMESTAMP
Provider name: updateTime
Description: Output only. The last update timestamp of a triggeredJob.