Struct aws_sdk_databrew::Client

source · [−]

pub struct Client { /* private fields */ }

Expand description

Client for AWS Glue DataBrew

Client for invoking operations on AWS Glue DataBrew. Each operation on AWS Glue DataBrew is a method on this this struct. .send() MUST be invoked on the generated operations to dispatch the request to the service.

Examples

Constructing a client and invoking an operation

    // create a shared configuration. This can be used & shared between multiple service clients.
    let shared_config = aws_config::load_from_env().await;
    let client = aws_sdk_databrew::Client::new(&shared_config);
    // invoke an operation
    /* let rsp = client
        .<operation_name>().
        .<param>("some value")
        .send().await; */

Constructing a client with custom configuration

use aws_config::RetryConfig;
    let shared_config = aws_config::load_from_env().await;
    let config = aws_sdk_databrew::config::Builder::from(&shared_config)
        .retry_config(RetryConfig::disabled())
        .build();
    let client = aws_sdk_databrew::Client::from_conf(config);

Implementations

source

impl Client

source

pub fn with_config(
client: Client<DynConnector, DynMiddleware<DynConnector>>,
conf: Config
) -> Self

Creates a client with the given service configuration.

source

pub fn conf(&self) -> &Config

Returns the client’s configuration.

source

impl Client

source

pub fn batch_delete_recipe_version(&self) -> BatchDeleteRecipeVersion

Constructs a fluent builder for the BatchDeleteRecipeVersion operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the recipe whose versions are to be deleted.
- recipe_versions(Vec<String>) / set_recipe_versions(Option<Vec<String>>):
  An array of version identifiers, for the recipe versions to be deleted. You can specify numeric versions (X.Y) or LATEST_WORKING. LATEST_PUBLISHED is not supported.
On success, responds with BatchDeleteRecipeVersionOutput with field(s):
- name(Option<String>):
  The name of the recipe that was modified.
- errors(Option<Vec<RecipeVersionErrorDetail>>):
  Errors, if any, that occurred while attempting to delete the recipe versions.
On failure, responds with SdkError<BatchDeleteRecipeVersionError>

source

pub fn create_dataset(&self) -> CreateDataset

Constructs a fluent builder for the CreateDataset operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the dataset to be created. Valid characters are alphanumeric (A-Z, a-z, 0-9), hyphen (-), period (.), and space.
- format(InputFormat) / set_format(Option<InputFormat>):
  The file format of a dataset that is created from an Amazon S3 file or folder.
- format_options(FormatOptions) / set_format_options(Option<FormatOptions>):
  Represents a set of options that define the structure of either comma-separated value (CSV), Excel, or JSON input.
- input(Input) / set_input(Option<Input>):
  Represents information on how DataBrew can find data, in either the Glue Data Catalog or Amazon S3.
- path_options(PathOptions) / set_path_options(Option<PathOptions>):
  A set of options that defines how DataBrew interprets an Amazon S3 path of the dataset.
- tags(HashMap<String, String>) / set_tags(Option<HashMap<String, String>>):
  Metadata tags to apply to this dataset.
On success, responds with CreateDatasetOutput with field(s):
- name(Option<String>):
  The name of the dataset that you created.
On failure, responds with SdkError<CreateDatasetError>

source

pub fn create_profile_job(&self) -> CreateProfileJob

Constructs a fluent builder for the CreateProfileJob operation.

The fluent builder is configurable:
- dataset_name(impl Into<String>) / set_dataset_name(Option<String>):
  The name of the dataset that this job is to act upon.
- encryption_key_arn(impl Into<String>) / set_encryption_key_arn(Option<String>):
  The Amazon Resource Name (ARN) of an encryption key that is used to protect the job.
- encryption_mode(EncryptionMode) / set_encryption_mode(Option<EncryptionMode>):
  The encryption mode for the job, which can be one of the following:
  - SSE-KMS - SSE-KMS - Server-side encryption with KMS-managed keys.
  - SSE-S3 - Server-side encryption with keys managed by Amazon S3.
- name(impl Into<String>) / set_name(Option<String>):
  The name of the job to be created. Valid characters are alphanumeric (A-Z, a-z, 0-9), hyphen (-), period (.), and space.
- log_subscription(LogSubscription) / set_log_subscription(Option<LogSubscription>):
  Enables or disables Amazon CloudWatch logging for the job. If logging is enabled, CloudWatch writes one log stream for each job run.
- max_capacity(i32) / set_max_capacity(i32):
  The maximum number of nodes that DataBrew can use when the job processes data.
- max_retries(i32) / set_max_retries(i32):
  The maximum number of times to retry the job after a job run fails.
- output_location(S3Location) / set_output_location(Option<S3Location>):
  Represents an Amazon S3 location (bucket name, bucket owner, and object key) where DataBrew can read input data, or write output from a job.
- configuration(ProfileConfiguration) / set_configuration(Option<ProfileConfiguration>):
  Configuration for profile jobs. Used to select columns, do evaluations, and override default parameters of evaluations. When configuration is null, the profile job will run with default settings.
- validation_configurations(Vec<ValidationConfiguration>) / set_validation_configurations(Option<Vec<ValidationConfiguration>>):
  List of validation configurations that are applied to the profile job.
- role_arn(impl Into<String>) / set_role_arn(Option<String>):
  The Amazon Resource Name (ARN) of the Identity and Access Management (IAM) role to be assumed when DataBrew runs the job.
- tags(HashMap<String, String>) / set_tags(Option<HashMap<String, String>>):
  Metadata tags to apply to this job.
- timeout(i32) / set_timeout(i32):
  The job’s timeout in minutes. A job that attempts to run longer than this timeout period ends with a status of TIMEOUT.
- job_sample(JobSample) / set_job_sample(Option<JobSample>):
  Sample configuration for profile jobs only. Determines the number of rows on which the profile job will be executed. If a JobSample value is not provided, the default value will be used. The default value is CUSTOM_ROWS for the mode parameter and 20000 for the size parameter.
On success, responds with CreateProfileJobOutput with field(s):
- name(Option<String>):
  The name of the job that was created.
On failure, responds with SdkError<CreateProfileJobError>

source

pub fn create_project(&self) -> CreateProject

Constructs a fluent builder for the CreateProject operation.

The fluent builder is configurable:
- dataset_name(impl Into<String>) / set_dataset_name(Option<String>):
  The name of an existing dataset to associate this project with.
- name(impl Into<String>) / set_name(Option<String>):
  A unique name for the new project. Valid characters are alphanumeric (A-Z, a-z, 0-9), hyphen (-), period (.), and space.
- recipe_name(impl Into<String>) / set_recipe_name(Option<String>):
  The name of an existing recipe to associate with the project.
- sample(Sample) / set_sample(Option<Sample>):
  Represents the sample size and sampling type for DataBrew to use for interactive data analysis.
- role_arn(impl Into<String>) / set_role_arn(Option<String>):
  The Amazon Resource Name (ARN) of the Identity and Access Management (IAM) role to be assumed for this request.
- tags(HashMap<String, String>) / set_tags(Option<HashMap<String, String>>):
  Metadata tags to apply to this project.
On success, responds with CreateProjectOutput with field(s):
- name(Option<String>):
  The name of the project that you created.
On failure, responds with SdkError<CreateProjectError>

source

pub fn create_recipe(&self) -> CreateRecipe

Constructs a fluent builder for the CreateRecipe operation.

The fluent builder is configurable:
- description(impl Into<String>) / set_description(Option<String>):
  A description for the recipe.
- name(impl Into<String>) / set_name(Option<String>):
  A unique name for the recipe. Valid characters are alphanumeric (A-Z, a-z, 0-9), hyphen (-), period (.), and space.
- steps(Vec<RecipeStep>) / set_steps(Option<Vec<RecipeStep>>):
  An array containing the steps to be performed by the recipe. Each recipe step consists of one recipe action and (optionally) an array of condition expressions.
- tags(HashMap<String, String>) / set_tags(Option<HashMap<String, String>>):
  Metadata tags to apply to this recipe.
On success, responds with CreateRecipeOutput with field(s):
- name(Option<String>):
  The name of the recipe that you created.
On failure, responds with SdkError<CreateRecipeError>

source

pub fn create_recipe_job(&self) -> CreateRecipeJob

Constructs a fluent builder for the CreateRecipeJob operation.

The fluent builder is configurable:
- dataset_name(impl Into<String>) / set_dataset_name(Option<String>):
  The name of the dataset that this job processes.
- encryption_key_arn(impl Into<String>) / set_encryption_key_arn(Option<String>):
  The Amazon Resource Name (ARN) of an encryption key that is used to protect the job.
- encryption_mode(EncryptionMode) / set_encryption_mode(Option<EncryptionMode>):
  The encryption mode for the job, which can be one of the following:
  - SSE-KMS - Server-side encryption with keys managed by KMS.
  - SSE-S3 - Server-side encryption with keys managed by Amazon S3.
- name(impl Into<String>) / set_name(Option<String>):
  A unique name for the job. Valid characters are alphanumeric (A-Z, a-z, 0-9), hyphen (-), period (.), and space.
- log_subscription(LogSubscription) / set_log_subscription(Option<LogSubscription>):
  Enables or disables Amazon CloudWatch logging for the job. If logging is enabled, CloudWatch writes one log stream for each job run.
- max_capacity(i32) / set_max_capacity(i32):
  The maximum number of nodes that DataBrew can consume when the job processes data.
- max_retries(i32) / set_max_retries(i32):
  The maximum number of times to retry the job after a job run fails.
- outputs(Vec<Output>) / set_outputs(Option<Vec<Output>>):
  One or more artifacts that represent the output from running the job.
- data_catalog_outputs(Vec<DataCatalogOutput>) / set_data_catalog_outputs(Option<Vec<DataCatalogOutput>>):
  One or more artifacts that represent the Glue Data Catalog output from running the job.
- database_outputs(Vec<DatabaseOutput>) / set_database_outputs(Option<Vec<DatabaseOutput>>):
  Represents a list of JDBC database output objects which defines the output destination for a DataBrew recipe job to write to.
- project_name(impl Into<String>) / set_project_name(Option<String>):
  Either the name of an existing project, or a combination of a recipe and a dataset to associate with the recipe.
- recipe_reference(RecipeReference) / set_recipe_reference(Option<RecipeReference>):
  Represents the name and version of a DataBrew recipe.
- role_arn(impl Into<String>) / set_role_arn(Option<String>):
  The Amazon Resource Name (ARN) of the Identity and Access Management (IAM) role to be assumed when DataBrew runs the job.
- tags(HashMap<String, String>) / set_tags(Option<HashMap<String, String>>):
  Metadata tags to apply to this job.
- timeout(i32) / set_timeout(i32):
  The job’s timeout in minutes. A job that attempts to run longer than this timeout period ends with a status of TIMEOUT.
On success, responds with CreateRecipeJobOutput with field(s):
- name(Option<String>):
  The name of the job that you created.
On failure, responds with SdkError<CreateRecipeJobError>

source

pub fn create_ruleset(&self) -> CreateRuleset

Constructs a fluent builder for the CreateRuleset operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the ruleset to be created. Valid characters are alphanumeric (A-Z, a-z, 0-9), hyphen (-), period (.), and space.
- description(impl Into<String>) / set_description(Option<String>):
  The description of the ruleset.
- target_arn(impl Into<String>) / set_target_arn(Option<String>):
  The Amazon Resource Name (ARN) of a resource (dataset) that the ruleset is associated with.
- rules(Vec<Rule>) / set_rules(Option<Vec<Rule>>):
  A list of rules that are defined with the ruleset. A rule includes one or more checks to be validated on a DataBrew dataset.
- tags(HashMap<String, String>) / set_tags(Option<HashMap<String, String>>):
  Metadata tags to apply to the ruleset.
On success, responds with CreateRulesetOutput with field(s):
- name(Option<String>):
  The unique name of the created ruleset.
On failure, responds with SdkError<CreateRulesetError>

source

pub fn create_schedule(&self) -> CreateSchedule

Constructs a fluent builder for the CreateSchedule operation.

The fluent builder is configurable:
- job_names(Vec<String>) / set_job_names(Option<Vec<String>>):
  The name or names of one or more jobs to be run.
- cron_expression(impl Into<String>) / set_cron_expression(Option<String>):
  The date or dates and time or times when the jobs are to be run. For more information, see Cron expressions in the Glue DataBrew Developer Guide.
- tags(HashMap<String, String>) / set_tags(Option<HashMap<String, String>>):
  Metadata tags to apply to this schedule.
- name(impl Into<String>) / set_name(Option<String>):
  A unique name for the schedule. Valid characters are alphanumeric (A-Z, a-z, 0-9), hyphen (-), period (.), and space.
On success, responds with CreateScheduleOutput with field(s):
- name(Option<String>):
  The name of the schedule that was created.
On failure, responds with SdkError<CreateScheduleError>

source

pub fn delete_dataset(&self) -> DeleteDataset

Constructs a fluent builder for the DeleteDataset operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the dataset to be deleted.
On success, responds with DeleteDatasetOutput with field(s):
- name(Option<String>):
  The name of the dataset that you deleted.
On failure, responds with SdkError<DeleteDatasetError>

source

pub fn delete_job(&self) -> DeleteJob

Constructs a fluent builder for the DeleteJob operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the job to be deleted.
On success, responds with DeleteJobOutput with field(s):
- name(Option<String>):
  The name of the job that you deleted.
On failure, responds with SdkError<DeleteJobError>

source

pub fn delete_project(&self) -> DeleteProject

Constructs a fluent builder for the DeleteProject operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the project to be deleted.
On success, responds with DeleteProjectOutput with field(s):
- name(Option<String>):
  The name of the project that you deleted.
On failure, responds with SdkError<DeleteProjectError>

source

pub fn delete_recipe_version(&self) -> DeleteRecipeVersion

Constructs a fluent builder for the DeleteRecipeVersion operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the recipe.
- recipe_version(impl Into<String>) / set_recipe_version(Option<String>):
  The version of the recipe to be deleted. You can specify a numeric versions (X.Y) or LATEST_WORKING. LATEST_PUBLISHED is not supported.
On success, responds with DeleteRecipeVersionOutput with field(s):
- name(Option<String>):
  The name of the recipe that was deleted.
- recipe_version(Option<String>):
  The version of the recipe that was deleted.
On failure, responds with SdkError<DeleteRecipeVersionError>

source

pub fn delete_ruleset(&self) -> DeleteRuleset

Constructs a fluent builder for the DeleteRuleset operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the ruleset to be deleted.
On success, responds with DeleteRulesetOutput with field(s):
- name(Option<String>):
  The name of the deleted ruleset.
On failure, responds with SdkError<DeleteRulesetError>

source

pub fn delete_schedule(&self) -> DeleteSchedule

Constructs a fluent builder for the DeleteSchedule operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the schedule to be deleted.
On success, responds with DeleteScheduleOutput with field(s):
- name(Option<String>):
  The name of the schedule that was deleted.
On failure, responds with SdkError<DeleteScheduleError>

source

pub fn describe_dataset(&self) -> DescribeDataset

Constructs a fluent builder for the DescribeDataset operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the dataset to be described.
On success, responds with DescribeDatasetOutput with field(s):
- created_by(Option<String>):
  The identifier (user name) of the user who created the dataset.
- create_date(Option<DateTime>):
  The date and time that the dataset was created.
- name(Option<String>):
  The name of the dataset.
- format(Option<InputFormat>):
  The file format of a dataset that is created from an Amazon S3 file or folder.
- format_options(Option<FormatOptions>):
  Represents a set of options that define the structure of either comma-separated value (CSV), Excel, or JSON input.
- input(Option<Input>):
  Represents information on how DataBrew can find data, in either the Glue Data Catalog or Amazon S3.
- last_modified_date(Option<DateTime>):
  The date and time that the dataset was last modified.
- last_modified_by(Option<String>):
  The identifier (user name) of the user who last modified the dataset.
- source(Option<Source>):
  The location of the data for this dataset, Amazon S3 or the Glue Data Catalog.
- path_options(Option<PathOptions>):
  A set of options that defines how DataBrew interprets an Amazon S3 path of the dataset.
- tags(Option<HashMap<String, String>>):
  Metadata tags associated with this dataset.
- resource_arn(Option<String>):
  The Amazon Resource Name (ARN) of the dataset.
On failure, responds with SdkError<DescribeDatasetError>

source

pub fn describe_job(&self) -> DescribeJob

Constructs a fluent builder for the DescribeJob operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the job to be described.
On success, responds with DescribeJobOutput with field(s):
- create_date(Option<DateTime>):
  The date and time that the job was created.
- created_by(Option<String>):
  The identifier (user name) of the user associated with the creation of the job.
- dataset_name(Option<String>):
  The dataset that the job acts upon.
- encryption_key_arn(Option<String>):
  The Amazon Resource Name (ARN) of an encryption key that is used to protect the job.
- encryption_mode(Option<EncryptionMode>):
  The encryption mode for the job, which can be one of the following:
  - SSE-KMS - Server-side encryption with keys managed by KMS.
  - SSE-S3 - Server-side encryption with keys managed by Amazon S3.
- name(Option<String>):
  The name of the job.
- r#type(Option<JobType>):
  The job type, which must be one of the following:
  - PROFILE - The job analyzes the dataset to determine its size, data types, data distribution, and more.
  - RECIPE - The job applies one or more transformations to a dataset.
- last_modified_by(Option<String>):
  The identifier (user name) of the user who last modified the job.
- last_modified_date(Option<DateTime>):
  The date and time that the job was last modified.
- log_subscription(Option<LogSubscription>):
  Indicates whether Amazon CloudWatch logging is enabled for this job.
- max_capacity(i32):
  The maximum number of compute nodes that DataBrew can consume when the job processes data.
- max_retries(i32):
  The maximum number of times to retry the job after a job run fails.
- outputs(Option<Vec<Output>>):
  One or more artifacts that represent the output from running the job.
- data_catalog_outputs(Option<Vec<DataCatalogOutput>>):
  One or more artifacts that represent the Glue Data Catalog output from running the job.
- database_outputs(Option<Vec<DatabaseOutput>>):
  Represents a list of JDBC database output objects which defines the output destination for a DataBrew recipe job to write into.
- project_name(Option<String>):
  The DataBrew project associated with this job.
- profile_configuration(Option<ProfileConfiguration>):
  Configuration for profile jobs. Used to select columns, do evaluations, and override default parameters of evaluations. When configuration is null, the profile job will run with default settings.
- validation_configurations(Option<Vec<ValidationConfiguration>>):
  List of validation configurations that are applied to the profile job.
- recipe_reference(Option<RecipeReference>):
  Represents the name and version of a DataBrew recipe.
- resource_arn(Option<String>):
  The Amazon Resource Name (ARN) of the job.
- role_arn(Option<String>):
  The ARN of the Identity and Access Management (IAM) role to be assumed when DataBrew runs the job.
- tags(Option<HashMap<String, String>>):
  Metadata tags associated with this job.
- timeout(i32):
  The job’s timeout in minutes. A job that attempts to run longer than this timeout period ends with a status of TIMEOUT.
- job_sample(Option<JobSample>):
  Sample configuration for profile jobs only. Determines the number of rows on which the profile job will be executed.
On failure, responds with SdkError<DescribeJobError>

source

pub fn describe_job_run(&self) -> DescribeJobRun

Constructs a fluent builder for the DescribeJobRun operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the job being processed during this run.
- run_id(impl Into<String>) / set_run_id(Option<String>):
  The unique identifier of the job run.
On success, responds with DescribeJobRunOutput with field(s):
- attempt(i32):
  The number of times that DataBrew has attempted to run the job.
- completed_on(Option<DateTime>):
  The date and time when the job completed processing.
- dataset_name(Option<String>):
  The name of the dataset for the job to process.
- error_message(Option<String>):
  A message indicating an error (if any) that was encountered when the job ran.
- execution_time(i32):
  The amount of time, in seconds, during which the job run consumed resources.
- job_name(Option<String>):
  The name of the job being processed during this run.
- profile_configuration(Option<ProfileConfiguration>):
  Configuration for profile jobs. Used to select columns, do evaluations, and override default parameters of evaluations. When configuration is null, the profile job will run with default settings.
- validation_configurations(Option<Vec<ValidationConfiguration>>):
  List of validation configurations that are applied to the profile job.
- run_id(Option<String>):
  The unique identifier of the job run.
- state(Option<JobRunState>):
  The current state of the job run entity itself.
- log_subscription(Option<LogSubscription>):
  The current status of Amazon CloudWatch logging for the job run.
- log_group_name(Option<String>):
  The name of an Amazon CloudWatch log group, where the job writes diagnostic messages when it runs.
- outputs(Option<Vec<Output>>):
  One or more output artifacts from a job run.
- data_catalog_outputs(Option<Vec<DataCatalogOutput>>):
  One or more artifacts that represent the Glue Data Catalog output from running the job.
- database_outputs(Option<Vec<DatabaseOutput>>):
  Represents a list of JDBC database output objects which defines the output destination for a DataBrew recipe job to write into.
- recipe_reference(Option<RecipeReference>):
  Represents the name and version of a DataBrew recipe.
- started_by(Option<String>):
  The Amazon Resource Name (ARN) of the user who started the job run.
- started_on(Option<DateTime>):
  The date and time when the job run began.
- job_sample(Option<JobSample>):
  Sample configuration for profile jobs only. Determines the number of rows on which the profile job will be executed. If a JobSample value is not provided, the default value will be used. The default value is CUSTOM_ROWS for the mode parameter and 20000 for the size parameter.
On failure, responds with SdkError<DescribeJobRunError>

source

pub fn describe_project(&self) -> DescribeProject

Constructs a fluent builder for the DescribeProject operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the project to be described.
On success, responds with DescribeProjectOutput with field(s):
- create_date(Option<DateTime>):
  The date and time that the project was created.
- created_by(Option<String>):
  The identifier (user name) of the user who created the project.
- dataset_name(Option<String>):
  The dataset associated with the project.
- last_modified_date(Option<DateTime>):
  The date and time that the project was last modified.
- last_modified_by(Option<String>):
  The identifier (user name) of the user who last modified the project.
- name(Option<String>):
  The name of the project.
- recipe_name(Option<String>):
  The recipe associated with this job.
- resource_arn(Option<String>):
  The Amazon Resource Name (ARN) of the project.
- sample(Option<Sample>):
  Represents the sample size and sampling type for DataBrew to use for interactive data analysis.
- role_arn(Option<String>):
  The ARN of the Identity and Access Management (IAM) role to be assumed when DataBrew runs the job.
- tags(Option<HashMap<String, String>>):
  Metadata tags associated with this project.
- session_status(Option<SessionStatus>):
  Describes the current state of the session:
  - PROVISIONING - allocating resources for the session.
  - INITIALIZING - getting the session ready for first use.
  - ASSIGNED - the session is ready for use.
- opened_by(Option<String>):
  The identifier (user name) of the user that opened the project for use.
- open_date(Option<DateTime>):
  The date and time when the project was opened.
On failure, responds with SdkError<DescribeProjectError>

source

pub fn describe_recipe(&self) -> DescribeRecipe

Constructs a fluent builder for the DescribeRecipe operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the recipe to be described.
- recipe_version(impl Into<String>) / set_recipe_version(Option<String>):
  The recipe version identifier. If this parameter isn’t specified, then the latest published version is returned.
On success, responds with DescribeRecipeOutput with field(s):
- created_by(Option<String>):
  The identifier (user name) of the user who created the recipe.
- create_date(Option<DateTime>):
  The date and time that the recipe was created.
- last_modified_by(Option<String>):
  The identifier (user name) of the user who last modified the recipe.
- last_modified_date(Option<DateTime>):
  The date and time that the recipe was last modified.
- project_name(Option<String>):
  The name of the project associated with this recipe.
- published_by(Option<String>):
  The identifier (user name) of the user who last published the recipe.
- published_date(Option<DateTime>):
  The date and time when the recipe was last published.
- description(Option<String>):
  The description of the recipe.
- name(Option<String>):
  The name of the recipe.
- steps(Option<Vec<RecipeStep>>):
  One or more steps to be performed by the recipe. Each step consists of an action, and the conditions under which the action should succeed.
- tags(Option<HashMap<String, String>>):
  Metadata tags associated with this project.
- resource_arn(Option<String>):
  The ARN of the recipe.
- recipe_version(Option<String>):
  The recipe version identifier.
On failure, responds with SdkError<DescribeRecipeError>

source

pub fn describe_ruleset(&self) -> DescribeRuleset

Constructs a fluent builder for the DescribeRuleset operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the ruleset to be described.
On success, responds with DescribeRulesetOutput with field(s):
- name(Option<String>):
  The name of the ruleset.
- description(Option<String>):
  The description of the ruleset.
- target_arn(Option<String>):
  The Amazon Resource Name (ARN) of a resource (dataset) that the ruleset is associated with.
- rules(Option<Vec<Rule>>):
  A list of rules that are defined with the ruleset. A rule includes one or more checks to be validated on a DataBrew dataset.
- create_date(Option<DateTime>):
  The date and time that the ruleset was created.
- created_by(Option<String>):
  The Amazon Resource Name (ARN) of the user who created the ruleset.
- last_modified_by(Option<String>):
  The Amazon Resource Name (ARN) of the user who last modified the ruleset.
- last_modified_date(Option<DateTime>):
  The modification date and time of the ruleset.
- resource_arn(Option<String>):
  The Amazon Resource Name (ARN) for the ruleset.
- tags(Option<HashMap<String, String>>):
  Metadata tags that have been applied to the ruleset.
On failure, responds with SdkError<DescribeRulesetError>

source

pub fn describe_schedule(&self) -> DescribeSchedule

Constructs a fluent builder for the DescribeSchedule operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the schedule to be described.
On success, responds with DescribeScheduleOutput with field(s):
- create_date(Option<DateTime>):
  The date and time that the schedule was created.
- created_by(Option<String>):
  The identifier (user name) of the user who created the schedule.
- job_names(Option<Vec<String>>):
  The name or names of one or more jobs to be run by using the schedule.
- last_modified_by(Option<String>):
  The identifier (user name) of the user who last modified the schedule.
- last_modified_date(Option<DateTime>):
  The date and time that the schedule was last modified.
- resource_arn(Option<String>):
  The Amazon Resource Name (ARN) of the schedule.
- cron_expression(Option<String>):
  The date or dates and time or times when the jobs are to be run for the schedule. For more information, see Cron expressions in the Glue DataBrew Developer Guide.
- tags(Option<HashMap<String, String>>):
  Metadata tags associated with this schedule.
- name(Option<String>):
  The name of the schedule.
On failure, responds with SdkError<DescribeScheduleError>

source

pub fn list_datasets(&self) -> ListDatasets

Constructs a fluent builder for the ListDatasets operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- max_results(i32) / set_max_results(Option<i32>):
  The maximum number of results to return in this request.
- next_token(impl Into<String>) / set_next_token(Option<String>):
  The token returned by a previous call to retrieve the next set of results.
On success, responds with ListDatasetsOutput with field(s):
- datasets(Option<Vec<Dataset>>):
  A list of datasets that are defined.
- next_token(Option<String>):
  A token that you can use in a subsequent call to retrieve the next set of results.
On failure, responds with SdkError<ListDatasetsError>

source

pub fn list_job_runs(&self) -> ListJobRuns

Constructs a fluent builder for the ListJobRuns operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the job.
- max_results(i32) / set_max_results(Option<i32>):
  The maximum number of results to return in this request.
- next_token(impl Into<String>) / set_next_token(Option<String>):
  The token returned by a previous call to retrieve the next set of results.
On success, responds with ListJobRunsOutput with field(s):
- job_runs(Option<Vec<JobRun>>):
  A list of job runs that have occurred for the specified job.
- next_token(Option<String>):
  A token that you can use in a subsequent call to retrieve the next set of results.
On failure, responds with SdkError<ListJobRunsError>

source

pub fn list_jobs(&self) -> ListJobs

Constructs a fluent builder for the ListJobs operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- dataset_name(impl Into<String>) / set_dataset_name(Option<String>):
  The name of a dataset. Using this parameter indicates to return only those jobs that act on the specified dataset.
- max_results(i32) / set_max_results(Option<i32>):
  The maximum number of results to return in this request.
- next_token(impl Into<String>) / set_next_token(Option<String>):
  A token generated by DataBrew that specifies where to continue pagination if a previous request was truncated. To get the next set of pages, pass in the NextToken value from the response object of the previous page call.
- project_name(impl Into<String>) / set_project_name(Option<String>):
  The name of a project. Using this parameter indicates to return only those jobs that are associated with the specified project.
On success, responds with ListJobsOutput with field(s):
- jobs(Option<Vec<Job>>):
  A list of jobs that are defined.
- next_token(Option<String>):
  A token that you can use in a subsequent call to retrieve the next set of results.
On failure, responds with SdkError<ListJobsError>

source

pub fn list_projects(&self) -> ListProjects

Constructs a fluent builder for the ListProjects operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- next_token(impl Into<String>) / set_next_token(Option<String>):
  The token returned by a previous call to retrieve the next set of results.
- max_results(i32) / set_max_results(Option<i32>):
  The maximum number of results to return in this request.
On success, responds with ListProjectsOutput with field(s):
- projects(Option<Vec<Project>>):
  A list of projects that are defined .
- next_token(Option<String>):
  A token that you can use in a subsequent call to retrieve the next set of results.
On failure, responds with SdkError<ListProjectsError>

source

pub fn list_recipes(&self) -> ListRecipes

Constructs a fluent builder for the ListRecipes operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- max_results(i32) / set_max_results(Option<i32>):
  The maximum number of results to return in this request.
- next_token(impl Into<String>) / set_next_token(Option<String>):
  The token returned by a previous call to retrieve the next set of results.
- recipe_version(impl Into<String>) / set_recipe_version(Option<String>):
  Return only those recipes with a version identifier of LATEST_WORKING or LATEST_PUBLISHED. If RecipeVersion is omitted, ListRecipes returns all of the LATEST_PUBLISHED recipe versions.
  
  Valid values: LATEST_WORKING | LATEST_PUBLISHED
On success, responds with ListRecipesOutput with field(s):
- recipes(Option<Vec<Recipe>>):
  A list of recipes that are defined.
- next_token(Option<String>):
  A token that you can use in a subsequent call to retrieve the next set of results.
On failure, responds with SdkError<ListRecipesError>

source

pub fn list_recipe_versions(&self) -> ListRecipeVersions

Constructs a fluent builder for the ListRecipeVersions operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- max_results(i32) / set_max_results(Option<i32>):
  The maximum number of results to return in this request.
- next_token(impl Into<String>) / set_next_token(Option<String>):
  The token returned by a previous call to retrieve the next set of results.
- name(impl Into<String>) / set_name(Option<String>):
  The name of the recipe for which to return version information.
On success, responds with ListRecipeVersionsOutput with field(s):
- next_token(Option<String>):
  A token that you can use in a subsequent call to retrieve the next set of results.
- recipes(Option<Vec<Recipe>>):
  A list of versions for the specified recipe.
On failure, responds with SdkError<ListRecipeVersionsError>

source

pub fn list_rulesets(&self) -> ListRulesets

Constructs a fluent builder for the ListRulesets operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- target_arn(impl Into<String>) / set_target_arn(Option<String>):
  The Amazon Resource Name (ARN) of a resource (dataset). Using this parameter indicates to return only those rulesets that are associated with the specified resource.
- max_results(i32) / set_max_results(Option<i32>):
  The maximum number of results to return in this request.
- next_token(impl Into<String>) / set_next_token(Option<String>):
  A token generated by DataBrew that specifies where to continue pagination if a previous request was truncated. To get the next set of pages, pass in the NextToken value from the response object of the previous page call.
On success, responds with ListRulesetsOutput with field(s):
- rulesets(Option<Vec<RulesetItem>>):
  A list of RulesetItem. RulesetItem contains meta data of a ruleset.
- next_token(Option<String>):
  A token that you can use in a subsequent call to retrieve the next set of results.
On failure, responds with SdkError<ListRulesetsError>

source

pub fn list_schedules(&self) -> ListSchedules

Constructs a fluent builder for the ListSchedules operation. This operation supports pagination; See into_paginator().

The fluent builder is configurable:
- job_name(impl Into<String>) / set_job_name(Option<String>):
  The name of the job that these schedules apply to.
- max_results(i32) / set_max_results(Option<i32>):
  The maximum number of results to return in this request.
- next_token(impl Into<String>) / set_next_token(Option<String>):
  The token returned by a previous call to retrieve the next set of results.
On success, responds with ListSchedulesOutput with field(s):
- schedules(Option<Vec<Schedule>>):
  A list of schedules that are defined.
- next_token(Option<String>):
  A token that you can use in a subsequent call to retrieve the next set of results.
On failure, responds with SdkError<ListSchedulesError>

source

pub fn list_tags_for_resource(&self) -> ListTagsForResource

Constructs a fluent builder for the ListTagsForResource operation.

The fluent builder is configurable:
- resource_arn(impl Into<String>) / set_resource_arn(Option<String>):
  The Amazon Resource Name (ARN) string that uniquely identifies the DataBrew resource.
On success, responds with ListTagsForResourceOutput with field(s):
- tags(Option<HashMap<String, String>>):
  A list of tags associated with the DataBrew resource.
On failure, responds with SdkError<ListTagsForResourceError>

source

pub fn publish_recipe(&self) -> PublishRecipe

Constructs a fluent builder for the PublishRecipe operation.

The fluent builder is configurable:
- description(impl Into<String>) / set_description(Option<String>):
  A description of the recipe to be published, for this version of the recipe.
- name(impl Into<String>) / set_name(Option<String>):
  The name of the recipe to be published.
On success, responds with PublishRecipeOutput with field(s):
- name(Option<String>):
  The name of the recipe that you published.
On failure, responds with SdkError<PublishRecipeError>

source

pub fn send_project_session_action(&self) -> SendProjectSessionAction

Constructs a fluent builder for the SendProjectSessionAction operation.

The fluent builder is configurable:
- preview(bool) / set_preview(bool):
  If true, the result of the recipe step will be returned, but not applied.
- name(impl Into<String>) / set_name(Option<String>):
  The name of the project to apply the action to.
- recipe_step(RecipeStep) / set_recipe_step(Option<RecipeStep>):
  Represents a single step from a DataBrew recipe to be performed.
- step_index(i32) / set_step_index(Option<i32>):
  The index from which to preview a step. This index is used to preview the result of steps that have already been applied, so that the resulting view frame is from earlier in the view frame stack.
- client_session_id(impl Into<String>) / set_client_session_id(Option<String>):
  A unique identifier for an interactive session that’s currently open and ready for work. The action will be performed on this session.
- view_frame(ViewFrame) / set_view_frame(Option<ViewFrame>):
  Represents the data being transformed during an action.
On success, responds with SendProjectSessionActionOutput with field(s):
- result(Option<String>):
  A message indicating the result of performing the action.
- name(Option<String>):
  The name of the project that was affected by the action.
- action_id(Option<i32>):
  A unique identifier for the action that was performed.
On failure, responds with SdkError<SendProjectSessionActionError>

source

pub fn start_job_run(&self) -> StartJobRun

Constructs a fluent builder for the StartJobRun operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the job to be run.
On success, responds with StartJobRunOutput with field(s):
- run_id(Option<String>):
  A system-generated identifier for this particular job run.
On failure, responds with SdkError<StartJobRunError>

source

pub fn start_project_session(&self) -> StartProjectSession

Constructs a fluent builder for the StartProjectSession operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the project to act upon.
- assume_control(bool) / set_assume_control(bool):
  A value that, if true, enables you to take control of a session, even if a different client is currently accessing the project.
On success, responds with StartProjectSessionOutput with field(s):
- name(Option<String>):
  The name of the project to be acted upon.
- client_session_id(Option<String>):
  A system-generated identifier for the session.
On failure, responds with SdkError<StartProjectSessionError>

source

pub fn stop_job_run(&self) -> StopJobRun

Constructs a fluent builder for the StopJobRun operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the job to be stopped.
- run_id(impl Into<String>) / set_run_id(Option<String>):
  The ID of the job run to be stopped.
On success, responds with StopJobRunOutput with field(s):
- run_id(Option<String>):
  The ID of the job run that you stopped.
On failure, responds with SdkError<StopJobRunError>

source

pub fn tag_resource(&self) -> TagResource

Constructs a fluent builder for the TagResource operation.

The fluent builder is configurable:
- resource_arn(impl Into<String>) / set_resource_arn(Option<String>):
  The DataBrew resource to which tags should be added. The value for this parameter is an Amazon Resource Name (ARN). For DataBrew, you can tag a dataset, a job, a project, or a recipe.
- tags(HashMap<String, String>) / set_tags(Option<HashMap<String, String>>):
  One or more tags to be assigned to the resource.
On success, responds with TagResourceOutput
On failure, responds with SdkError<TagResourceError>

source

pub fn untag_resource(&self) -> UntagResource

Constructs a fluent builder for the UntagResource operation.

The fluent builder is configurable:
- resource_arn(impl Into<String>) / set_resource_arn(Option<String>):
  A DataBrew resource from which you want to remove a tag or tags. The value for this parameter is an Amazon Resource Name (ARN).
- tag_keys(Vec<String>) / set_tag_keys(Option<Vec<String>>):
  The tag keys (names) of one or more tags to be removed.
On success, responds with UntagResourceOutput
On failure, responds with SdkError<UntagResourceError>

source

pub fn update_dataset(&self) -> UpdateDataset

Constructs a fluent builder for the UpdateDataset operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the dataset to be updated.
- format(InputFormat) / set_format(Option<InputFormat>):
  The file format of a dataset that is created from an Amazon S3 file or folder.
- format_options(FormatOptions) / set_format_options(Option<FormatOptions>):
  Represents a set of options that define the structure of either comma-separated value (CSV), Excel, or JSON input.
- input(Input) / set_input(Option<Input>):
  Represents information on how DataBrew can find data, in either the Glue Data Catalog or Amazon S3.
- path_options(PathOptions) / set_path_options(Option<PathOptions>):
  A set of options that defines how DataBrew interprets an Amazon S3 path of the dataset.
On success, responds with UpdateDatasetOutput with field(s):
- name(Option<String>):
  The name of the dataset that you updated.
On failure, responds with SdkError<UpdateDatasetError>

source

pub fn update_profile_job(&self) -> UpdateProfileJob

Constructs a fluent builder for the UpdateProfileJob operation.

The fluent builder is configurable:
- configuration(ProfileConfiguration) / set_configuration(Option<ProfileConfiguration>):
  Configuration for profile jobs. Used to select columns, do evaluations, and override default parameters of evaluations. When configuration is null, the profile job will run with default settings.
- encryption_key_arn(impl Into<String>) / set_encryption_key_arn(Option<String>):
  The Amazon Resource Name (ARN) of an encryption key that is used to protect the job.
- encryption_mode(EncryptionMode) / set_encryption_mode(Option<EncryptionMode>):
  The encryption mode for the job, which can be one of the following:
  - SSE-KMS - Server-side encryption with keys managed by KMS.
  - SSE-S3 - Server-side encryption with keys managed by Amazon S3.
- name(impl Into<String>) / set_name(Option<String>):
  The name of the job to be updated.
- log_subscription(LogSubscription) / set_log_subscription(Option<LogSubscription>):
  Enables or disables Amazon CloudWatch logging for the job. If logging is enabled, CloudWatch writes one log stream for each job run.
- max_capacity(i32) / set_max_capacity(i32):
  The maximum number of compute nodes that DataBrew can use when the job processes data.
- max_retries(i32) / set_max_retries(i32):
  The maximum number of times to retry the job after a job run fails.
- output_location(S3Location) / set_output_location(Option<S3Location>):
  Represents an Amazon S3 location (bucket name, bucket owner, and object key) where DataBrew can read input data, or write output from a job.
- validation_configurations(Vec<ValidationConfiguration>) / set_validation_configurations(Option<Vec<ValidationConfiguration>>):
  List of validation configurations that are applied to the profile job.
- role_arn(impl Into<String>) / set_role_arn(Option<String>):
  The Amazon Resource Name (ARN) of the Identity and Access Management (IAM) role to be assumed when DataBrew runs the job.
- timeout(i32) / set_timeout(i32):
  The job’s timeout in minutes. A job that attempts to run longer than this timeout period ends with a status of TIMEOUT.
- job_sample(JobSample) / set_job_sample(Option<JobSample>):
  Sample configuration for Profile Jobs only. Determines the number of rows on which the Profile job will be executed. If a JobSample value is not provided for profile jobs, the default value will be used. The default value is CUSTOM_ROWS for the mode parameter and 20000 for the size parameter.
On success, responds with UpdateProfileJobOutput with field(s):
- name(Option<String>):
  The name of the job that was updated.
On failure, responds with SdkError<UpdateProfileJobError>

source

pub fn update_project(&self) -> UpdateProject

Constructs a fluent builder for the UpdateProject operation.

The fluent builder is configurable:
- sample(Sample) / set_sample(Option<Sample>):
  Represents the sample size and sampling type for DataBrew to use for interactive data analysis.
- role_arn(impl Into<String>) / set_role_arn(Option<String>):
  The Amazon Resource Name (ARN) of the IAM role to be assumed for this request.
- name(impl Into<String>) / set_name(Option<String>):
  The name of the project to be updated.
On success, responds with UpdateProjectOutput with field(s):
- last_modified_date(Option<DateTime>):
  The date and time that the project was last modified.
- name(Option<String>):
  The name of the project that you updated.
On failure, responds with SdkError<UpdateProjectError>

source

pub fn update_recipe(&self) -> UpdateRecipe

Constructs a fluent builder for the UpdateRecipe operation.

The fluent builder is configurable:
- description(impl Into<String>) / set_description(Option<String>):
  A description of the recipe.
- name(impl Into<String>) / set_name(Option<String>):
  The name of the recipe to be updated.
- steps(Vec<RecipeStep>) / set_steps(Option<Vec<RecipeStep>>):
  One or more steps to be performed by the recipe. Each step consists of an action, and the conditions under which the action should succeed.
On success, responds with UpdateRecipeOutput with field(s):
- name(Option<String>):
  The name of the recipe that was updated.
On failure, responds with SdkError<UpdateRecipeError>

source

pub fn update_recipe_job(&self) -> UpdateRecipeJob

Constructs a fluent builder for the UpdateRecipeJob operation.

The fluent builder is configurable:
- encryption_key_arn(impl Into<String>) / set_encryption_key_arn(Option<String>):
  The Amazon Resource Name (ARN) of an encryption key that is used to protect the job.
- encryption_mode(EncryptionMode) / set_encryption_mode(Option<EncryptionMode>):
  The encryption mode for the job, which can be one of the following:
  - SSE-KMS - Server-side encryption with keys managed by KMS.
  - SSE-S3 - Server-side encryption with keys managed by Amazon S3.
- name(impl Into<String>) / set_name(Option<String>):
  The name of the job to update.
- log_subscription(LogSubscription) / set_log_subscription(Option<LogSubscription>):
  Enables or disables Amazon CloudWatch logging for the job. If logging is enabled, CloudWatch writes one log stream for each job run.
- max_capacity(i32) / set_max_capacity(i32):
  The maximum number of nodes that DataBrew can consume when the job processes data.
- max_retries(i32) / set_max_retries(i32):
  The maximum number of times to retry the job after a job run fails.
- outputs(Vec<Output>) / set_outputs(Option<Vec<Output>>):
  One or more artifacts that represent the output from running the job.
- data_catalog_outputs(Vec<DataCatalogOutput>) / set_data_catalog_outputs(Option<Vec<DataCatalogOutput>>):
  One or more artifacts that represent the Glue Data Catalog output from running the job.
- database_outputs(Vec<DatabaseOutput>) / set_database_outputs(Option<Vec<DatabaseOutput>>):
  Represents a list of JDBC database output objects which defines the output destination for a DataBrew recipe job to write into.
- role_arn(impl Into<String>) / set_role_arn(Option<String>):
  The Amazon Resource Name (ARN) of the Identity and Access Management (IAM) role to be assumed when DataBrew runs the job.
- timeout(i32) / set_timeout(i32):
  The job’s timeout in minutes. A job that attempts to run longer than this timeout period ends with a status of TIMEOUT.
On success, responds with UpdateRecipeJobOutput with field(s):
- name(Option<String>):
  The name of the job that you updated.
On failure, responds with SdkError<UpdateRecipeJobError>

source

pub fn update_ruleset(&self) -> UpdateRuleset

Constructs a fluent builder for the UpdateRuleset operation.

The fluent builder is configurable:
- name(impl Into<String>) / set_name(Option<String>):
  The name of the ruleset to be updated.
- description(impl Into<String>) / set_description(Option<String>):
  The description of the ruleset.
- rules(Vec<Rule>) / set_rules(Option<Vec<Rule>>):
  A list of rules that are defined with the ruleset. A rule includes one or more checks to be validated on a DataBrew dataset.
On success, responds with UpdateRulesetOutput with field(s):
- name(Option<String>):
  The name of the updated ruleset.
On failure, responds with SdkError<UpdateRulesetError>