[ aws . databrew ]

describe-job

Description

Returns the definition of a specific DataBrew job.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  describe-job
--name <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--name (string)

The name of the job to be described.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See ‘aws help’ for descriptions of global parameters.

Output

CreateDate -> (timestamp)

The date and time that the job was created.

CreatedBy -> (string)

The identifier (user name) of the user associated with the creation of the job.

DatasetName -> (string)

The dataset that the job acts upon.

EncryptionKeyArn -> (string)

The Amazon Resource Name (ARN) of an encryption key that is used to protect the job.

EncryptionMode -> (string)

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 -> (string)

The name of the job.

Type -> (string)

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.

LastModifiedBy -> (string)

The identifier (user name) of the user who last modified the job.

LastModifiedDate -> (timestamp)

The date and time that the job was last modified.

LogSubscription -> (string)

Indicates whether Amazon CloudWatch logging is enabled for this job.

MaxCapacity -> (integer)

The maximum number of compute nodes that DataBrew can consume when the job processes data.

MaxRetries -> (integer)

The maximum number of times to retry the job after a job run fails.

Outputs -> (list)

One or more artifacts that represent the output from running the job.

(structure)

Represents options that specify how and where in Amazon S3 DataBrew writes the output generated by recipe jobs or profile jobs.

CompressionFormat -> (string)

The compression algorithm used to compress the output text of the job.

Format -> (string)

The data format of the output of the job.

PartitionColumns -> (list)

The names of one or more partition columns for the output of the job.

(string)

Location -> (structure)

The location in Amazon S3 where the job writes its output.

Bucket -> (string)

The Amazon S3 bucket name.

Key -> (string)

The unique name of the object in the bucket.

Overwrite -> (boolean)

A value that, if true, means that any data in the location specified for output is overwritten with new output.

FormatOptions -> (structure)

Represents options that define how DataBrew formats job output files.

Csv -> (structure)

Represents a set of options that define the structure of comma-separated value (CSV) job output.

Delimiter -> (string)

A single character that specifies the delimiter used to create CSV job output.

DataCatalogOutputs -> (list)

One or more artifacts that represent the Glue Data Catalog output from running the job.

(structure)

Represents options that specify how and where in the Glue Data Catalog DataBrew writes the output generated by recipe jobs.

CatalogId -> (string)

The unique identifier of the Amazon Web Services account that holds the Data Catalog that stores the data.

DatabaseName -> (string)

The name of a database in the Data Catalog.

TableName -> (string)

The name of a table in the Data Catalog.

S3Options -> (structure)

Represents options that specify how and where DataBrew writes the Amazon S3 output generated by recipe jobs.

Location -> (structure)

Represents an Amazon S3 location (bucket name and object key) where DataBrew can write output from a job.

Bucket -> (string)

The Amazon S3 bucket name.

Key -> (string)

The unique name of the object in the bucket.

DatabaseOptions -> (structure)

Represents options that specify how and where DataBrew writes the database output generated by recipe jobs.

TempDirectory -> (structure)

Represents an Amazon S3 location (bucket name and object key) where DataBrew can store intermediate results.

Bucket -> (string)

The Amazon S3 bucket name.

Key -> (string)

The unique name of the object in the bucket.

TableName -> (string)

A prefix for the name of a table DataBrew will create in the database.

Overwrite -> (boolean)

A value that, if true, means that any data in the location specified for output is overwritten with new output. Not supported with DatabaseOptions.

DatabaseOutputs -> (list)

Represents a list of JDBC database output objects which defines the output destination for a DataBrew recipe job to write into.

(structure)

Represents a JDBC database output object which defines the output destination for a DataBrew recipe job to write into.

GlueConnectionName -> (string)

The Glue connection that stores the connection information for the target database.

DatabaseOptions -> (structure)

Represents options that specify how and where DataBrew writes the database output generated by recipe jobs.

TempDirectory -> (structure)

Represents an Amazon S3 location (bucket name and object key) where DataBrew can store intermediate results.

Bucket -> (string)

The Amazon S3 bucket name.

Key -> (string)

The unique name of the object in the bucket.

TableName -> (string)

A prefix for the name of a table DataBrew will create in the database.

DatabaseOutputMode -> (string)

The output mode to write into the database. Currently supported option: NEW_TABLE.

ProjectName -> (string)

The DataBrew project associated with this job.

ProfileConfiguration -> (structure)

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.

DatasetStatisticsConfiguration -> (structure)

Configuration for inter-column evaluations. Configuration can be used to select evaluations and override parameters of evaluations. When configuration is undefined, the profile job will run all supported inter-column evaluations.

IncludedStatistics -> (list)

List of included evaluations. When the list is undefined, all supported evaluations will be included.

(string)

Overrides -> (list)

List of overrides for evaluations.

(structure)

Override of a particular evaluation for a profile job.

Statistic -> (string)

The name of an evaluation

Parameters -> (map)

A map that includes overrides of an evaluation’s parameters.

key -> (string)

value -> (string)

ProfileColumns -> (list)

List of column selectors. ProfileColumns can be used to select columns from the dataset. When ProfileColumns is undefined, the profile job will profile all supported columns.

(structure)

Selector of a column from a dataset for profile job configuration. One selector includes either a column name or a regular expression.

Regex -> (string)

A regular expression for selecting a column from a dataset.

Name -> (string)

The name of a column from a dataset.

ColumnStatisticsConfigurations -> (list)

List of configurations for column evaluations. ColumnStatisticsConfigurations are used to select evaluations and override parameters of evaluations for particular columns. When ColumnStatisticsConfigurations is undefined, the profile job will profile all supported columns and run all supported evaluations.

(structure)

Configuration for column evaluations for a profile job. ColumnStatisticsConfiguration can be used to select evaluations and override parameters of evaluations for particular columns.

Selectors -> (list)

List of column selectors. Selectors can be used to select columns from the dataset. When selectors are undefined, configuration will be applied to all supported columns.

(structure)

Selector of a column from a dataset for profile job configuration. One selector includes either a column name or a regular expression.

Regex -> (string)

A regular expression for selecting a column from a dataset.

Name -> (string)

The name of a column from a dataset.

Statistics -> (structure)

Configuration for evaluations. Statistics can be used to select evaluations and override parameters of evaluations.

IncludedStatistics -> (list)

List of included evaluations. When the list is undefined, all supported evaluations will be included.

(string)

Overrides -> (list)

List of overrides for evaluations.

(structure)

Override of a particular evaluation for a profile job.

Statistic -> (string)

The name of an evaluation

Parameters -> (map)

A map that includes overrides of an evaluation’s parameters.

key -> (string)

value -> (string)

RecipeReference -> (structure)

Represents the name and version of a DataBrew recipe.

Name -> (string)

The name of the recipe.

RecipeVersion -> (string)

The identifier for the version for the recipe.

ResourceArn -> (string)

The Amazon Resource Name (ARN) of the job.

RoleArn -> (string)

The ARN of the Identity and Access Management (IAM) role to be assumed when DataBrew runs the job.

Tags -> (map)

Metadata tags associated with this job.

key -> (string)

value -> (string)

Timeout -> (integer)

The job’s timeout in minutes. A job that attempts to run longer than this timeout period ends with a status of TIMEOUT .

JobSample -> (structure)

Sample configuration for profile jobs only. Determines the number of rows on which the profile job will be executed.

Mode -> (string)

A value that determines whether the profile job is run on the entire dataset or a specified number of rows. This value must be one of the following:

• FULL_DATASET - The profile job is run on the entire dataset.

• CUSTOM_ROWS - The profile job is run on the number of rows specified in the Size parameter.

Size -> (long)

The Size parameter is only required when the mode is CUSTOM_ROWS. The profile job is run on the specified number of rows. The maximum value for size is Long.MAX_VALUE.

Long.MAX_VALUE = 9223372036854775807