Struct aws_sdk_databrew::client::Client

pub struct Client<C = DynConnector, M = DefaultMiddleware, R = Standard> { /* private fields */ }

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

impl<C, M, R> Client<C, M, R>

pub fn with_config(client: Client<C, M, R>, conf: Config) -> Self

Creates a client with the given service configuration.

pub fn conf(&self) -> &Config

Returns the client’s configuration.

impl<C, M, R> Client<C, M, R> where
    C: SmithyConnector,
    M: SmithyMiddleware<C>,
    R: NewRequestPolicy, 

pub fn batch_delete_recipe_version(&self) -> BatchDeleteRecipeVersion<C, M, R>

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>

pub fn create_dataset(&self) -> CreateDataset<C, M, R>

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>

pub fn create_profile_job(&self) -> CreateProfileJob<C, M, R>

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>

pub fn create_project(&self) -> CreateProject<C, M, R>

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>

pub fn create_recipe(&self) -> CreateRecipe<C, M, R>

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>

pub fn create_recipe_job(&self) -> CreateRecipeJob<C, M, R>

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>

pub fn create_ruleset(&self) -> CreateRuleset<C, M, R>

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>

pub fn create_schedule(&self) -> CreateSchedule<C, M, R>

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>

pub fn delete_dataset(&self) -> DeleteDataset<C, M, R>

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>

pub fn delete_job(&self) -> DeleteJob<C, M, R>

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>

pub fn delete_project(&self) -> DeleteProject<C, M, R>

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>

pub fn delete_recipe_version(&self) -> DeleteRecipeVersion<C, M, R>

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>

pub fn delete_ruleset(&self) -> DeleteRuleset<C, M, R>

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>

pub fn delete_schedule(&self) -> DeleteSchedule<C, M, R>

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>

pub fn describe_dataset(&self) -> DescribeDataset<C, M, R>

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>

pub fn describe_job(&self) -> DescribeJob<C, M, R>

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>

pub fn describe_job_run(&self) -> DescribeJobRun<C, M, R>

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>

pub fn describe_project(&self) -> DescribeProject<C, M, R>

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>

pub fn describe_recipe(&self) -> DescribeRecipe<C, M, R>

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>

pub fn describe_ruleset(&self) -> DescribeRuleset<C, M, R>

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>

pub fn describe_schedule(&self) -> DescribeSchedule<C, M, R>

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>

pub fn list_datasets(&self) -> ListDatasets<C, M, R>

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>

pub fn list_job_runs(&self) -> ListJobRuns<C, M, R>

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>

pub fn list_jobs(&self) -> ListJobs<C, M, R>

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>

pub fn list_projects(&self) -> ListProjects<C, M, R>

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>

pub fn list_recipes(&self) -> ListRecipes<C, M, R>

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>

pub fn list_recipe_versions(&self) -> ListRecipeVersions<C, M, R>

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>

pub fn list_rulesets(&self) -> ListRulesets<C, M, R>

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>

pub fn list_schedules(&self) -> ListSchedules<C, M, R>

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>

pub fn list_tags_for_resource(&self) -> ListTagsForResource<C, M, R>

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>

pub fn publish_recipe(&self) -> PublishRecipe<C, M, R>

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>

pub fn send_project_session_action(&self) -> SendProjectSessionAction<C, M, R>

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>

pub fn start_job_run(&self) -> StartJobRun<C, M, R>

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>

pub fn start_project_session(&self) -> StartProjectSession<C, M, R>

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>

pub fn stop_job_run(&self) -> StopJobRun<C, M, R>

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>

pub fn tag_resource(&self) -> TagResource<C, M, R>

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>

pub fn untag_resource(&self) -> UntagResource<C, M, R>

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>

pub fn update_dataset(&self) -> UpdateDataset<C, M, R>

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>

pub fn update_profile_job(&self) -> UpdateProfileJob<C, M, R>

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>

pub fn update_project(&self) -> UpdateProject<C, M, R>

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>

pub fn update_recipe(&self) -> UpdateRecipe<C, M, R>

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>

pub fn update_recipe_job(&self) -> UpdateRecipeJob<C, M, R>

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>

pub fn update_ruleset(&self) -> UpdateRuleset<C, M, R>

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>

pub fn update_schedule(&self) -> UpdateSchedule<C, M, R>

Constructs a fluent builder for the UpdateSchedule 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 for this schedule.

  • 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.

  • name(impl Into<String>) / set_name(Option<String>):

    The name of the schedule to update.

• On success, responds with UpdateScheduleOutput with field(s):
  • name(Option<String>):

    The name of the schedule that was updated.

• On failure, responds with SdkError<UpdateScheduleError>

impl<C> Client<C, DefaultMiddleware, Standard>

pub fn from_conf_conn(conf: Config, conn: C) -> Self

Creates a client with the given service config and connector override.

impl Client<DynConnector, DefaultMiddleware, Standard>

pub fn new(config: &Config) -> Self

Creates a new client from a shared config.

pub fn from_conf(conf: Config) -> Self

Creates a new client from the service Config.

Trait Implementations

impl<C, M, R> Clone for Client<C, M, R>

fn clone(&self) -> Self

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<C: Debug, M: Debug, R: Debug> Debug for Client<C, M, R>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<C, M, R> From<Client<C, M, R>> for Client<C, M, R>

fn from(client: Client<C, M, R>) -> Self

Performs the conversion.