"documentation":"<p>Deletes multiple tables at once.</p> <note> <p>After completing this operation, you no longer have access to the table versions and partitions that belong to the deleted table. AWS Glue deletes these \"orphaned\" resources asynchronously in a timely manner, at the discretion of the service.</p> <p>To ensure the immediate deletion of all related resources, before calling <code>BatchDeleteTable</code>, use <code>DeleteTableVersion</code> or <code>BatchDeleteTableVersion</code>, and <code>DeletePartition</code> or <code>BatchDeletePartition</code>, to delete any resources that belong to the table.</p> </note>"
"documentation":"<p>Returns a list of resource metadata for a given list of crawler names. After calling the <code>ListCrawlers</code> operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.</p>"
"documentation":"<p>Returns a list of resource metadata for a given list of development endpoint names. After calling the <code>ListDevEndpoints</code> operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.</p>"
"documentation":"<p>Returns a list of resource metadata for a given list of job names. After calling the <code>ListJobs</code> operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags. </p>"
"documentation":"<p>Returns a list of resource metadata for a given list of trigger names. After calling the <code>ListTriggers</code> operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.</p>"
"documentation":"<p>Returns a list of resource metadata for a given list of workflow names. After calling the <code>ListWorkflows</code> operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.</p>"
"documentation":"<p>Cancels (stops) a task run. Machine learning task runs are asynchronous tasks that AWS Glue runs on your behalf as part of various machine learning workflows. You can cancel a machine learning task run at any time by calling <code>CancelMLTaskRun</code> with a task run's parent transform's <code>TransformID</code> and the task run's <code>TaskRunId</code>. </p>"
"documentation":"<p>Creates a classifier in the user's account. This can be a <code>GrokClassifier</code>, an <code>XMLClassifier</code>, a <code>JsonClassifier</code>, or a <code>CsvClassifier</code>, depending on which field of the request is present.</p>"
"documentation":"<p>Creates a new crawler with specified targets, role, configuration, and optional schedule. At least one crawl target must be specified, in the <code>s3Targets</code> field, the <code>jdbcTargets</code> field, or the <code>DynamoDBTargets</code> field.</p>"
"documentation":"<p>Creates an AWS Glue machine learning transform. This operation creates the transform and all the necessary parameters to train it.</p> <p>Call this operation as the first step in the process of using a machine learning transform (such as the <code>FindMatches</code> transform) for deduplicating data. You can provide an optional <code>Description</code>, in addition to the parameters that you want to use for your algorithm.</p> <p>You must also specify certain parameters for the tasks that AWS Glue runs on your behalf as part of learning from your data and creating a high-quality machine learning transform. These parameters include <code>Role</code>, and optionally, <code>AllocatedCapacity</code>, <code>Timeout</code>, and <code>MaxRetries</code>. For more information, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api-jobs-job.html\">Jobs</a>.</p>"
"documentation":"<p>Creates a new security configuration. A security configuration is a set of security properties that can be used by AWS Glue. You can use a security configuration to encrypt data at rest. For information about using security configurations in AWS Glue, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/encryption-security-configuration.html\">Encrypting Data Written by Crawlers, Jobs, and Development Endpoints</a>.</p>"
"documentation":"<p>Removes a specified database from a Data Catalog.</p> <note> <p>After completing this operation, you no longer have access to the tables (and all table versions and partitions that might belong to the tables) and the user-defined functions in the deleted database. AWS Glue deletes these \"orphaned\" resources asynchronously in a timely manner, at the discretion of the service.</p> <p>To ensure the immediate deletion of all related resources, before calling <code>DeleteDatabase</code>, use <code>DeleteTableVersion</code> or <code>BatchDeleteTableVersion</code>, <code>DeletePartition</code> or <code>BatchDeletePartition</code>, <code>DeleteUserDefinedFunction</code>, and <code>DeleteTable</code> or <code>BatchDeleteTable</code>, to delete any resources that belong to the database.</p> </note>"
"documentation":"<p>Deletes an AWS Glue machine learning transform. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by AWS Glue. If you no longer need a transform, you can delete it by calling <code>DeleteMLTransforms</code>. However, any AWS Glue jobs that still reference the deleted transform will no longer succeed.</p>"
"documentation":"<p>Removes a table definition from the Data Catalog.</p> <note> <p>After completing this operation, you no longer have access to the table versions and partitions that belong to the deleted table. AWS Glue deletes these \"orphaned\" resources asynchronously in a timely manner, at the discretion of the service.</p> <p>To ensure the immediate deletion of all related resources, before calling <code>DeleteTable</code>, use <code>DeleteTableVersion</code> or <code>BatchDeleteTableVersion</code>, and <code>DeletePartition</code> or <code>BatchDeletePartition</code>, to delete any resources that belong to the table.</p> </note>"
"documentation":"<p>Retrieves information about a specified development endpoint.</p> <note> <p>When you create a development endpoint in a virtual private cloud (VPC), AWS Glue returns only a private IP address, and the public IP address field is not populated. When you create a non-VPC development endpoint, AWS Glue returns only a public IP address.</p> </note>"
"documentation":"<p>Retrieves all the development endpoints in this AWS account.</p> <note> <p>When you create a development endpoint in a virtual private cloud (VPC), AWS Glue returns only a private IP address and the public IP address field is not populated. When you create a non-VPC development endpoint, AWS Glue returns only a public IP address.</p> </note>"
"documentation":"<p>Gets details for a specific task run on a machine learning transform. Machine learning task runs are asynchronous tasks that AWS Glue runs on your behalf as part of various machine learning workflows. You can check the stats of any task run by calling <code>GetMLTaskRun</code> with the <code>TaskRunID</code> and its parent transform's <code>TransformID</code>.</p>"
},
"GetMLTaskRuns":{
"name":"GetMLTaskRuns",
"http":{
"method":"POST",
"requestUri":"/"
},
"input":{"shape":"GetMLTaskRunsRequest"},
"output":{"shape":"GetMLTaskRunsResponse"},
"errors":[
{"shape":"EntityNotFoundException"},
{"shape":"InvalidInputException"},
{"shape":"OperationTimeoutException"},
{"shape":"InternalServiceException"}
],
"documentation":"<p>Gets a list of runs for a machine learning transform. Machine learning task runs are asynchronous tasks that AWS Glue runs on your behalf as part of various machine learning workflows. You can get a sortable, filterable list of machine learning task runs by calling <code>GetMLTaskRuns</code> with their parent transform's <code>TransformID</code> and other optional parameters as documented in this section.</p> <p>This operation returns a list of historic runs and must be paginated.</p>"
},
"GetMLTransform":{
"name":"GetMLTransform",
"http":{
"method":"POST",
"requestUri":"/"
},
"input":{"shape":"GetMLTransformRequest"},
"output":{"shape":"GetMLTransformResponse"},
"errors":[
{"shape":"EntityNotFoundException"},
{"shape":"InvalidInputException"},
{"shape":"OperationTimeoutException"},
{"shape":"InternalServiceException"}
],
"documentation":"<p>Gets an AWS Glue machine learning transform artifact and all its corresponding metadata. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by AWS Glue. You can retrieve their metadata by calling <code>GetMLTransform</code>.</p>"
},
"GetMLTransforms":{
"name":"GetMLTransforms",
"http":{
"method":"POST",
"requestUri":"/"
},
"input":{"shape":"GetMLTransformsRequest"},
"output":{"shape":"GetMLTransformsResponse"},
"errors":[
{"shape":"EntityNotFoundException"},
{"shape":"InvalidInputException"},
{"shape":"OperationTimeoutException"},
{"shape":"InternalServiceException"}
],
"documentation":"<p>Gets a sortable, filterable list of existing AWS Glue machine learning transforms. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by AWS Glue, and you can retrieve their metadata by calling <code>GetMLTransforms</code>.</p>"
"documentation":"<p>Retrieves the names of all crawler resources in this AWS account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.</p> <p>This operation takes the optional <code>Tags</code> field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.</p>"
"documentation":"<p>Retrieves the names of all <code>DevEndpoint</code> resources in this AWS account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.</p> <p>This operation takes the optional <code>Tags</code> field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.</p>"
"documentation":"<p>Retrieves the names of all job resources in this AWS account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.</p> <p>This operation takes the optional <code>Tags</code> field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.</p>"
"documentation":"<p> Retrieves a sortable, filterable list of existing AWS Glue machine learning transforms in this AWS account, or the resources with the specified tag. This operation takes the optional <code>Tags</code> field, which you can use as a filter of the responses so that tagged resources can be retrieved as a group. If you choose to use tag filtering, only resources with the tags are retrieved. </p>"
"documentation":"<p>Retrieves the names of all trigger resources in this AWS account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.</p> <p>This operation takes the optional <code>Tags</code> field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.</p>"
},
"ListWorkflows":{
"name":"ListWorkflows",
"http":{
"method":"POST",
"requestUri":"/"
},
"input":{"shape":"ListWorkflowsRequest"},
"output":{"shape":"ListWorkflowsResponse"},
"errors":[
{"shape":"InvalidInputException"},
{"shape":"InternalServiceException"},
{"shape":"OperationTimeoutException"}
],
"documentation":"<p>Lists names of workflows created in the account.</p>"
"documentation":"<p>Sets the security configuration for a specified catalog. After the configuration has been set, the specified encryption is applied to every catalog write thereafter.</p>"
"documentation":"<p>Puts the specified workflow run properties for the given workflow run. If a property already exists for the specified run, then it overrides the value otherwise adds the property to existing properties.</p>"
"documentation":"<p>Searches a set of tables based on properties in the table metadata as well as on the parent database. You can search against text or filter conditions. </p> <p>You can only get tables that you have access to based on the security policies defined in Lake Formation. You need at least a read-only access to the table for it to be returned. If you do not have access to all the columns in the table, these columns will not be searched against when returning the list of tables back to you. If you have access to the columns but not the data in the columns, those columns and the associated metadata for those columns will be included in the search. </p>"
"documentation":"<p>Starts a crawl using the specified crawler, regardless of what is scheduled. If the crawler is already running, returns a <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api-exceptions.html#aws-glue-api-exceptions-CrawlerRunningException\">CrawlerRunningException</a>.</p>"
"documentation":"<p>Changes the schedule state of the specified crawler to <code>SCHEDULED</code>, unless the crawler is already running or the schedule state is already <code>SCHEDULED</code>.</p>"
"documentation":"<p>Begins an asynchronous task to export all labeled data for a particular transform. This task is the only label-related API call that is not part of the typical active learning workflow. You typically use <code>StartExportLabelsTaskRun</code> when you want to work with all of your existing labels at the same time, such as when you want to remove or change labels that were previously submitted as truth. This API operation accepts the <code>TransformId</code> whose labels you want to export and an Amazon Simple Storage Service (Amazon S3) path to export the labels to. The operation returns a <code>TaskRunId</code>. You can check on the status of your task run by calling the <code>GetMLTaskRun</code> API.</p>"
"documentation":"<p>Enables you to provide additional labels (examples of truth) to be used to teach the machine learning transform and improve its quality. This API operation is generally used as part of the active learning workflow that starts with the <code>StartMLLabelingSetGenerationTaskRun</code> call and that ultimately results in improving the quality of your machine learning transform. </p> <p>After the <code>StartMLLabelingSetGenerationTaskRun</code> finishes, AWS Glue machine learning will have generated a series of questions for humans to answer. (Answering these questions is often called 'labeling' in the machine learning workflows). In the case of the <code>FindMatches</code> transform, these questions are of the form, “What is the correct way to group these rows together into groups composed entirely of matching records?” After the labeling process is finished, users upload their answers/labels with a call to <code>StartImportLabelsTaskRun</code>. After <code>StartImportLabelsTaskRun</code> finishes, all future runs of the machine learning transform use the new and improved labels and perform a higher-quality transformation.</p> <p>By default, <code>StartMLLabelingSetGenerationTaskRun</code> continually learns from and combines all labels that you upload unless you set <code>Replace</code> to true. If you set <code>Replace</code> to true, <code>StartImportLabelsTaskRun</code> deletes and forgets all previously uploaded labels and learns only from the exact set that you upload. Replacing labels can be helpful if you realize that you previously uploaded incorrect labels, and you believe that they are having a negative effect on your transform quality.</p> <p>You can check on the status of your task run by calling the <code>GetMLTaskRun</code> operation. </p>"
"documentation":"<p>Starts a task to estimate the quality of the transform. </p> <p>When you provide label sets as examples of truth, AWS Glue machine learning uses some of those examples to learn from them. The rest of the labels are used as a test to estimate quality.</p> <p>Returns a unique identifier for the run. You can call <code>GetMLTaskRun</code> to get more information about the stats of the <code>EvaluationTaskRun</code>.</p>"
"documentation":"<p>Starts the active learning workflow for your machine learning transform to improve the transform's quality by generating label sets and adding labels.</p> <p>When the <code>StartMLLabelingSetGenerationTaskRun</code> finishes, AWS Glue will have generated a \"labeling set\" or a set of questions for humans to answer.</p> <p>In the case of the <code>FindMatches</code> transform, these questions are of the form, “What is the correct way to group these rows together into groups composed entirely of matching records?” </p> <p>After the labeling process is finished, you can upload your labels with a call to <code>StartImportLabelsTaskRun</code>. After <code>StartImportLabelsTaskRun</code> finishes, all future runs of the machine learning transform will use the new and improved labels and perform a higher-quality transformation.</p>"
"documentation":"<p>Starts an existing trigger. See <a href=\"https://docs.aws.amazon.com/glue/latest/dg/trigger-job.html\">Triggering Jobs</a> for information about how different types of trigger are started.</p>"
},
"StartWorkflowRun":{
"name":"StartWorkflowRun",
"http":{
"method":"POST",
"requestUri":"/"
},
"input":{"shape":"StartWorkflowRunRequest"},
"output":{"shape":"StartWorkflowRunResponse"},
"errors":[
{"shape":"InvalidInputException"},
{"shape":"EntityNotFoundException"},
{"shape":"InternalServiceException"},
{"shape":"OperationTimeoutException"},
{"shape":"ResourceNumberLimitExceededException"},
{"shape":"ConcurrentRunsExceededException"}
],
"documentation":"<p>Starts a new run of the specified workflow.</p>"
"documentation":"<p>Sets the schedule state of the specified crawler to <code>NOT_SCHEDULED</code>, but does not stop the crawler if it is already running.</p>"
"documentation":"<p>Adds tags to a resource. A tag is a label you can assign to an AWS resource. In AWS Glue, you can tag only certain resources. For information about what resources you can tag, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/monitor-tags.html\">AWS Tags in AWS Glue</a>.</p>"
"documentation":"<p>Modifies an existing classifier (a <code>GrokClassifier</code>, an <code>XMLClassifier</code>, a <code>JsonClassifier</code>, or a <code>CsvClassifier</code>, depending on which field is present).</p>"
"documentation":"<p>Updates an existing machine learning transform. Call this operation to tune the algorithm parameters to achieve better results.</p> <p>After calling this operation, you can call the <code>StartMLEvaluationTaskRun</code> operation to assess how well your new parameters achieved your goals (such as improving the quality of your machine learning transform, or making it more cost-effective).</p>"
"documentation":"<p>The job arguments used when this trigger fires. For this job run, they replace the default arguments set in the job definition itself.</p> <p>You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes.</p> <p>For information about how to specify and consume your own Job arguments, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html\">Calling AWS Glue APIs in Python</a> topic in the developer guide.</p> <p>For information about the key-value pairs that AWS Glue consumes to set up your job, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html\">Special Parameters Used by AWS Glue</a> topic in the developer guide.</p>"
"documentation":"<p>The <code>JobRun</code> timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters <code>TIMEOUT</code> status. The default is 2,880 minutes (48 hours). This overrides the timeout value set in the parent job.</p>"
},
"SecurityConfiguration":{
"shape":"NameString",
"documentation":"<p>The name of the <code>SecurityConfiguration</code> structure to be used with this action.</p>"
"documentation":"<p>The ID of the Data Catalog where the partition to be deleted resides. If none is provided, the AWS account ID is used by default.</p>"
"documentation":"<p>The name of the catalog database in which the tables to delete reside. For Hive compatibility, this name is entirely lowercase.</p>"
"documentation":"<p>A list of the IDs of versions to be deleted. A <code>VersionId</code> is a string representation of an integer. Each version is incremented by 1.</p>"
"documentation":"<p>The list of <code>DevEndpoint</code> names, which might be the names returned from the <code>ListDevEndpoint</code> operation.</p>"
"documentation":"<p>The ID of the Data Catalog where the partitions in question reside. If none is supplied, the AWS account ID is used by default.</p>"
},
"DatabaseName":{
"shape":"NameString",
"documentation":"<p>The name of the catalog database where the partitions reside.</p>"
},
"TableName":{
"shape":"NameString",
"documentation":"<p>The name of the partitions' table.</p>"
},
"PartitionsToGet":{
"shape":"BatchGetPartitionValueList",
"documentation":"<p>A list of partition values identifying the partitions to retrieve.</p>"
}
}
},
"BatchGetPartitionResponse":{
"type":"structure",
"members":{
"Partitions":{
"shape":"PartitionList",
"documentation":"<p>A list of the requested partitions.</p>"
"documentation":"<p>A list of the errors that were encountered in trying to stop <code>JobRuns</code>, including the <code>JobRunId</code> for which each error was encountered and details about the error.</p>"
"documentation":"<p>Classifiers are triggered during a crawl task. A classifier checks whether a given file is in a format it can handle. If it is, the classifier creates a schema in the form of a <code>StructType</code> object that matches that data format.</p> <p>You can use the standard classifiers that AWS Glue provides, or you can write your own classifiers to best categorize your data sources and specify the appropriate schemas to use for them. A classifier can be a <code>grok</code> classifier, an <code>XML</code> classifier, a <code>JSON</code> classifier, or a custom <code>CSV</code> classifier, as specified in one of the fields in the <code>Classifier</code> object.</p>"
"documentation":"<p>The condition state. Currently, the values supported are <code>SUCCEEDED</code>, <code>STOPPED</code>, <code>TIMEOUT</code>, and <code>FAILED</code>.</p>"
},
"CrawlerName":{
"shape":"NameString",
"documentation":"<p>The name of the crawler to which this condition applies.</p>"
},
"CrawlState":{
"shape":"CrawlState",
"documentation":"<p>The state of the crawler to which this condition applies.</p>"
"documentation":"<p>The number of matches in the data that the transform correctly found, in the confusion matrix for your transform.</p>"
},
"NumFalsePositives":{
"shape":"RecordsCount",
"documentation":"<p>The number of nonmatches in the data that the transform incorrectly classified as a match, in the confusion matrix for your transform.</p>"
},
"NumTrueNegatives":{
"shape":"RecordsCount",
"documentation":"<p>The number of nonmatches in the data that the transform correctly rejected, in the confusion matrix for your transform.</p>"
},
"NumFalseNegatives":{
"shape":"RecordsCount",
"documentation":"<p>The number of matches in the data that the transform didn't find, in the confusion matrix for your transform.</p>"
}
},
"documentation":"<p>The confusion matrix shows you what your transform is predicting accurately and what types of errors it is making.</p> <p>For more information, see <a href=\"https://en.wikipedia.org/wiki/Confusion_matrix\">Confusion matrix</a> in Wikipedia.</p>"
"documentation":"<p>These key-value pairs define parameters for the connection:</p> <ul> <li> <p> <code>HOST</code> - The host URI: either the fully qualified domain name (FQDN) or the IPv4 address of the database host.</p> </li> <li> <p> <code>PORT</code> - The port number, between 1024 and 65535, of the port on which the database host is listening for database connections.</p> </li> <li> <p> <code>USER_NAME</code> - The name under which to log in to the database. The value string for <code>USER_NAME</code> is \"<code>USERNAME</code>\".</p> </li> <li> <p> <code>PASSWORD</code> - A password, if one is used, for the user name.</p> </li> <li> <p> <code>ENCRYPTED_PASSWORD</code> - When you enable connection password protection by setting <code>ConnectionPasswordEncryption</code> in the Data Catalog encryption settings, this field stores the encrypted password.</p> </li> <li> <p> <code>JDBC_DRIVER_JAR_URI</code> - The Amazon Simple Storage Service (Amazon S3) path of the JAR file that contains the JDBC driver to use.</p> </li> <li> <p> <code>JDBC_DRIVER_CLASS_NAME</code> - The class name of the JDBC driver to use.</p> </li> <li> <p> <code>JDBC_ENGINE</code> - The name of the JDBC engine to use.</p> </li> <li> <p> <code>JDBC_ENGINE_VERSION</code> - The version of the JDBC engine to use.</p> </li> <li> <p> <code>CONFIG_FILES</code> - (Reserved for future use.)</p> </li> <li> <p> <code>INSTANCE_ID</code> - The instance ID to use.</p> </li> <li> <p> <code>JDBC_CONNECTION_URL</code> - The URL for the JDBC connection.</p> </li> <li> <p> <code>JDBC_ENFORCE_SSL</code> - A Boolean string (true, false) specifying whether Secure Sockets Layer (SSL) with hostname matching is enforced for the JDBC connection on the client. The default is false.</p> </li> <li> <p> <code>CUSTOM_JDBC_CERT</code> - An Amazon S3 location specifying the customer's root certificate. AWS Glue uses this root certificate to validate the customer’s certificate when connecting to the customer database. AWS Glue only handles X.509 certificates. The certificate provided must be DER-encoded and supplied in Base64 encoding PEM format.</p> </li> <li> <p> <code>SKIP_CUSTOM_JDBC_CERT_VALIDATION</code> - By default, this is <code>false</code>. AWS Glue validates the Signature algorithm and Subject Public Key Algorithm for the customer certificate. The only permitted algorithms for the Signature algorithm are SHA256withRSA, SHA384withRSA or SHA512withRSA. For the Subject Public Key Algorithm, the key length must be at least 2048. You can set the value of this property to <code>true</code> to skip AWS Glue’s validation of the customer certificate.</p> </li> <li> <p> <code>CUSTOM_JDBC_CERT_STRING</code> - A custom JDBC certificate string which is used for domain match or distinguished name match to prevent a man-in-the-middle attack. In Oracle database, this is used as the <code>SSL_SERVER_CERT_DN</code>; in Microsoft SQL Server, this is used as the <code>hostNameInCertificate</code>.</p> </li> </ul>"
"documentation":"<p>A map of physical connection requirements, such as virtual private cloud (VPC) and <code>SecurityGroup</code>, that are needed to make this connection successfully.</p>"
"documentation":"<p>A map of physical connection requirements, such as virtual private cloud (VPC) and <code>SecurityGroup</code>, that are needed to successfully make this connection.</p>"
"documentation":"<p>When the <code>ReturnConnectionPasswordEncrypted</code> flag is set to \"true\", passwords remain encrypted in the responses of <code>GetConnection</code> and <code>GetConnections</code>. This encryption takes effect independently from catalog encryption. </p>"
"documentation":"<p>An AWS KMS key that is used to encrypt the connection password. </p> <p>If connection password protection is enabled, the caller of <code>CreateConnection</code> and <code>UpdateConnection</code> needs at least <code>kms:Encrypt</code> permission on the specified AWS KMS key, to encrypt passwords before storing them in the Data Catalog. </p> <p>You can set the decrypt permission to enable or restrict access on the password key according to your security requirements.</p>"
"documentation":"<p>The data structure used by the Data Catalog to encrypt the password as part of <code>CreateConnection</code> or <code>UpdateConnection</code> and store it in the <code>ENCRYPTED_PASSWORD</code> field in the connection properties. You can enable catalog encryption or only password encryption.</p> <p>When a <code>CreationConnection</code> request arrives containing a password, the Data Catalog first encrypts the password using your AWS KMS key. It then encrypts the whole connection object again if catalog encryption is also enabled.</p> <p>This encryption requires that you set AWS KMS key permissions to enable or restrict access on the password key according to your security requirements. For example, you might want only administrators to have decrypt permission on the password key.</p>"
"documentation":"<p>The Amazon Resource Name (ARN) of an IAM role that's used to access customer resources, such as Amazon Simple Storage Service (Amazon S3) data.</p>"
"documentation":"<p>Crawler configuration information. This versioned JSON string allows users to specify aspects of a crawler's behavior. For more information, see <a href=\"http://docs.aws.amazon.com/glue/latest/dg/crawler-configuration.html\">Configuring a Crawler</a>.</p>"
"documentation":"<p>Specifies a crawler program that examines a data source and uses classifiers to try to determine its schema. If successful, the crawler records metadata concerning the data source in the AWS Glue Data Catalog.</p>"
"documentation":"<p>A <code>cron</code> expression used to specify the schedule. For more information, see <a href=\"http://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html\">Time-Based Schedules for Jobs and Crawlers</a>. For example, to run something every day at 12:15 UTC, specify <code>cron(15 12 * * ? *)</code>.</p>"
"documentation":"<p>A list of custom classifiers that the user has registered. By default, all built-in classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.</p>"
"documentation":"<p>The crawler configuration information. This versioned JSON string allows users to specify aspects of a crawler's behavior. For more information, see <a href=\"http://docs.aws.amazon.com/glue/latest/dg/crawler-configuration.html\">Configuring a Crawler</a>.</p>"
"documentation":"<p>The tags to use with this crawler request. You can use tags to limit access to the crawler. For more information, see <a href=\"http://docs.aws.amazon.com/glue/latest/dg/monitor-tags.html\">AWS Tags in AWS Glue</a>.</p>"
"documentation":"<p>The public key to be used by this <code>DevEndpoint</code> for authentication. This attribute is provided for backward compatibility because the recommended attribute to use is public keys.</p>"
"documentation":"<p>A list of public keys to be used by the development endpoints for authentication. The use of this attribute is preferred over a single public key because the public keys allow you to have a different private key per client.</p> <note> <p>If you previously created an endpoint with a public key, you must remove that key to be able to set a list of public keys. Call the <code>UpdateDevEndpoint</code> API with the public key content in the <code>deletePublicKeys</code> attribute, and the list of new keys in the <code>addPublicKeys</code> attribute.</p> </note>"
"documentation":"<p>The type of predefined worker that is allocated to the development endpoint. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.</p> </li> </ul> <p>Known issue: when a development endpoint is created with the <code>G.2X</code> <code>WorkerType</code> configuration, the Spark drivers for the development endpoint will run on 4 vCPU, 16 GB of memory, and a 64 GB disk. </p>"
"documentation":"<p>Glue version determines the versions of Apache Spark and Python that AWS Glue supports. The Python version indicates the version supported for running your ETL scripts on development endpoints. </p> <p>For more information about the available AWS Glue versions and corresponding Spark and Python versions, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/add-job.html\">Glue version</a> in the developer guide.</p> <p>Development endpoints that are created without specifying a Glue version default to Glue 0.9.</p> <p>You can specify a version of Python support for development endpoints by using the <code>Arguments</code> parameter in the <code>CreateDevEndpoint</code> or <code>UpdateDevEndpoint</code> APIs. If no arguments are provided, the version defaults to Python 2.</p>"
"documentation":"<p>The number of workers of a defined <code>workerType</code> that are allocated to the development endpoint.</p> <p>The maximum number of workers you can define are 299 for <code>G.1X</code>, and 149 for <code>G.2X</code>. </p>"
"documentation":"<p>The paths to one or more Python libraries in an Amazon S3 bucket that should be loaded in your <code>DevEndpoint</code>. Multiple values must be complete paths separated by a comma.</p> <note> <p>You can only use pure Python libraries with a <code>DevEndpoint</code>. Libraries that rely on C extensions, such as the <a href=\"http://pandas.pydata.org/\">pandas</a> Python data analysis library, are not yet supported.</p> </note>"
"documentation":"<p>The tags to use with this DevEndpoint. You may use tags to limit access to the DevEndpoint. For more information about tags in AWS Glue, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/monitor-tags.html\">AWS Tags in AWS Glue</a> in the developer guide.</p>"
},
"Arguments":{
"shape":"MapValue",
"documentation":"<p>A map of arguments used to configure the <code>DevEndpoint</code>.</p>"
"documentation":"<p>Glue version determines the versions of Apache Spark and Python that AWS Glue supports. The Python version indicates the version supported for running your ETL scripts on development endpoints. </p>"
"documentation":"<p>The map of arguments used to configure this <code>DevEndpoint</code>.</p> <p>Valid arguments are:</p> <ul> <li> <p> <code>\"--enable-glue-datacatalog\": \"\"</code> </p> </li> <li> <p> <code>\"GLUE_PYTHON_VERSION\": \"3\"</code> </p> </li> <li> <p> <code>\"GLUE_PYTHON_VERSION\": \"2\"</code> </p> </li> </ul> <p>You can specify a version of Python support for development endpoints by using the <code>Arguments</code> parameter in the <code>CreateDevEndpoint</code> or <code>UpdateDevEndpoint</code> APIs. If no arguments are provided, the version defaults to Python 2.</p>"
"documentation":"<p>An identifier of the data format that the classifier matches, such as Twitter, JSON, Omniture logs, Amazon CloudWatch Logs, and so on.</p>"
"documentation":"<p>The default arguments for this job.</p> <p>You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes.</p> <p>For information about how to specify and consume your own Job arguments, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html\">Calling AWS Glue APIs in Python</a> topic in the developer guide.</p> <p>For information about the key-value pairs that AWS Glue consumes to set up your job, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html\">Special Parameters Used by AWS Glue</a> topic in the developer guide.</p>"
"documentation":"<p>This parameter is deprecated. Use <code>MaxCapacity</code> instead.</p> <p>The number of AWS Glue data processing units (DPUs) to allocate to this Job. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>.</p>",
"documentation":"<p>The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters <code>TIMEOUT</code> status. The default is 2,880 minutes (48 hours).</p>"
"documentation":"<p>The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>.</p> <p>Do not set <code>Max Capacity</code> if using <code>WorkerType</code> and <code>NumberOfWorkers</code>.</p> <p>The value that can be allocated for <code>MaxCapacity</code> depends on whether you are running a Python shell job or an Apache Spark ETL job:</p> <ul> <li> <p>When you specify a Python shell job (<code>JobCommand.Name</code>=\"pythonshell\"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.</p> </li> <li> <p>When you specify an Apache Spark ETL job (<code>JobCommand.Name</code>=\"glueetl\"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.</p> </li> </ul>"
"documentation":"<p>The tags to use with this job. You may use tags to limit access to the job. For more information about tags in AWS Glue, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/monitor-tags.html\">AWS Tags in AWS Glue</a> in the developer guide.</p>"
},
"NotificationProperty":{
"shape":"NotificationProperty",
"documentation":"<p>Specifies configuration properties of a job notification.</p>"
},
"GlueVersion":{
"shape":"GlueVersionString",
"documentation":"<p>Glue version determines the versions of Apache Spark and Python that AWS Glue supports. The Python version indicates the version supported for jobs of type Spark. </p> <p>For more information about the available AWS Glue versions and corresponding Spark and Python versions, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/add-job.html\">Glue version</a> in the developer guide.</p> <p>Jobs that are created without specifying a Glue version default to Glue 0.9.</p>"
},
"NumberOfWorkers":{
"shape":"NullableInteger",
"documentation":"<p>The number of workers of a defined <code>workerType</code> that are allocated when a job runs.</p> <p>The maximum number of workers you can define are 299 for <code>G.1X</code>, and 149 for <code>G.2X</code>. </p>"
},
"WorkerType":{
"shape":"WorkerType",
"documentation":"<p>The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.</p> </li> </ul>"
"documentation":"<p>A <code>JsonPath</code> string defining the JSON data for the classifier to classify. AWS Glue supports a subset of <code>JsonPath</code>, as described in <a href=\"https://docs.aws.amazon.com/glue/latest/dg/custom-classifier.html#custom-classifier-json\">Writing JsonPath Custom Classifiers</a>.</p>"
"documentation":"<p>The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. The required permissions include both AWS Glue service role permissions to AWS Glue resources, and Amazon S3 permissions required by the transform. </p> <ul> <li> <p>This role needs AWS Glue service role permissions to allow access to resources in AWS Glue. See <a href=\"https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html\">Attach a Policy to IAM Users That Access AWS Glue</a>.</p> </li> <li> <p>This role needs permission to your Amazon Simple Storage Service (Amazon S3) sources, targets, temporary directory, scripts, and any libraries used by the task run for this transform.</p> </li> </ul>"
},
"GlueVersion":{
"shape":"GlueVersionString",
"documentation":"<p>This value determines which version of AWS Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions\">AWS Glue Versions</a> in the developer guide.</p>"
"documentation":"<p>The number of AWS Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>. </p> <p> <code>MaxCapacity</code> is a mutually exclusive option with <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code> is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p> </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must both be at least 1.</p> </li> </ul> <p>When the <code>WorkerType</code> field is set to a value other than <code>Standard</code>, the <code>MaxCapacity</code> field is set automatically and becomes read-only.</p> <p>When the <code>WorkerType</code> field is set to a value other than <code>Standard</code>, the <code>MaxCapacity</code> field is set automatically and becomes read-only.</p>"
"documentation":"<p>The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.</p> </li> </ul> <p> <code>MaxCapacity</code> is a mutually exclusive option with <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code> is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p> </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must both be at least 1.</p> </li> </ul>"
"documentation":"<p>The number of workers of a defined <code>workerType</code> that are allocated when this task runs.</p> <p>If <code>WorkerType</code> is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p>"
"documentation":"<p>The timeout of the task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters <code>TIMEOUT</code> status. The default is 2,880 minutes (48 hours).</p>"
},
"MaxRetries":{
"shape":"NullableInteger",
"documentation":"<p>The maximum number of times to retry a task for this transform after a task run fails.</p>"
"documentation":"<p>The tags to use with this machine learning transform. You may use tags to limit access to the machine learning transform. For more information about tags in AWS Glue, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/monitor-tags.html\">AWS Tags in AWS Glue</a> in the developer guide.</p>"
"documentation":"<p>The ID of the Data Catalog in which to create the <code>Table</code>. If none is supplied, the AWS account ID is used by default.</p>"
"documentation":"<p>A <code>cron</code> expression used to specify the schedule (see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html\">Time-Based Schedules for Jobs and Crawlers</a>. For example, to run something every day at 12:15 UTC, you would specify: <code>cron(15 12 * * ? *)</code>.</p> <p>This field is required when the trigger type is SCHEDULED.</p>"
"documentation":"<p>A predicate to specify when the new trigger should fire.</p> <p>This field is required when the trigger type is <code>CONDITIONAL</code>.</p>"
"documentation":"<p>Set to <code>true</code> to start <code>SCHEDULED</code> and <code>CONDITIONAL</code> triggers when created. True is not supported for <code>ON_DEMAND</code> triggers.</p>"
"documentation":"<p>The tags to use with this trigger. You may use tags to limit access to the trigger. For more information about tags in AWS Glue, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/monitor-tags.html\">AWS Tags in AWS Glue</a> in the developer guide. </p>"
"documentation":"<p>The XML tag designating the element that contains each record in an XML document being parsed. This can't identify a self-closing element (closed by <code>/></code>). An empty row element that contains only attributes can be parsed as long as it ends with a closing tag (for example, <code><row item_a=\"A\" item_b=\"B\"></row></code> is okay, but <code><row item_a=\"A\" item_b=\"B\" /></code> is not).</p>"
"documentation":"<p>When connection password protection is enabled, the Data Catalog uses a customer-provided key to encrypt the password as part of <code>CreateConnection</code> or <code>UpdateConnection</code> and store it in the <code>ENCRYPTED_PASSWORD</code> field in the connection properties. You can enable catalog encryption or only password encryption.</p>"
"documentation":"<p>These key-value pairs define parameters and properties of the database.</p> <p>These key-value pairs define parameters and properties of the database.</p>"
},
"CreateTableDefaultPermissions":{
"shape":"PrincipalPermissionsList",
"documentation":"<p>Creates a set of default permissions on the table for principals. </p>"
"documentation":"<p>The ID of the Data Catalog where the partition to be deleted resides. If none is provided, the AWS account ID is used by default.</p>"
"documentation":"<p>The ID of the table version to be deleted. A <code>VersionID</code> is a string representation of an integer. Each version is incremented by 1.</p>"
"documentation":"<p>The name of the trigger to delete.</p>"
}
}
},
"DeleteTriggerResponse":{
"type":"structure",
"members":{
"Name":{
"shape":"NameString",
"documentation":"<p>The name of the trigger that was deleted.</p>"
}
}
},
"DeleteUserDefinedFunctionRequest":{
"type":"structure",
"required":[
"DatabaseName",
"FunctionName"
],
"members":{
"CatalogId":{
"shape":"CatalogIdString",
"documentation":"<p>The ID of the Data Catalog where the function to be deleted is located. If none is supplied, the AWS account ID is used by default.</p>"
},
"DatabaseName":{
"shape":"NameString",
"documentation":"<p>The name of the catalog database where the function is located.</p>"
},
"FunctionName":{
"shape":"NameString",
"documentation":"<p>The name of the function definition to be deleted.</p>"
"documentation":"<p>A private IP address to access the <code>DevEndpoint</code> within a VPC if the <code>DevEndpoint</code> is created within one. The <code>PrivateAddress</code> field is present only when you create the <code>DevEndpoint</code> within your VPC.</p>"
"documentation":"<p>The public IP address used by this <code>DevEndpoint</code>. The <code>PublicAddress</code> field is present only when you create a non-virtual private cloud (VPC) <code>DevEndpoint</code>.</p>"
"documentation":"<p>The type of predefined worker that is allocated to the development endpoint. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.</p> </li> </ul> <p>Known issue: when a development endpoint is created with the <code>G.2X</code> <code>WorkerType</code> configuration, the Spark drivers for the development endpoint will run on 4 vCPU, 16 GB of memory, and a 64 GB disk. </p>"
"documentation":"<p>Glue version determines the versions of Apache Spark and Python that AWS Glue supports. The Python version indicates the version supported for running your ETL scripts on development endpoints. </p> <p>For more information about the available AWS Glue versions and corresponding Spark and Python versions, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/add-job.html\">Glue version</a> in the developer guide.</p> <p>Development endpoints that are created without specifying a Glue version default to Glue 0.9.</p> <p>You can specify a version of Python support for development endpoints by using the <code>Arguments</code> parameter in the <code>CreateDevEndpoint</code> or <code>UpdateDevEndpoint</code> APIs. If no arguments are provided, the version defaults to Python 2.</p>"
"documentation":"<p>The number of workers of a defined <code>workerType</code> that are allocated to the development endpoint.</p> <p>The maximum number of workers you can define are 299 for <code>G.1X</code>, and 149 for <code>G.2X</code>. </p>"
"documentation":"<p>The paths to one or more Python libraries in an Amazon S3 bucket that should be loaded in your <code>DevEndpoint</code>. Multiple values must be complete paths separated by a comma.</p> <note> <p>You can only use pure Python libraries with a <code>DevEndpoint</code>. Libraries that rely on C extensions, such as the <a href=\"http://pandas.pydata.org/\">pandas</a> Python data analysis library, are not currently supported.</p> </note>"
"documentation":"<p>The path to one or more Java <code>.jar</code> files in an S3 bucket that should be loaded in your <code>DevEndpoint</code>.</p> <note> <p>You can only use pure Java/Scala libraries with a <code>DevEndpoint</code>.</p> </note>"
"documentation":"<p>The public key to be used by this <code>DevEndpoint</code> for authentication. This attribute is provided for backward compatibility because the recommended attribute to use is public keys.</p>"
"documentation":"<p>A list of public keys to be used by the <code>DevEndpoints</code> for authentication. Using this attribute is preferred over a single public key because the public keys allow you to have a different private key per client.</p> <note> <p>If you previously created an endpoint with a public key, you must remove that key to be able to set a list of public keys. Call the <code>UpdateDevEndpoint</code> API operation with the public key content in the <code>deletePublicKeys</code> attribute, and the list of new keys in the <code>addPublicKeys</code> attribute.</p> </note>"
"documentation":"<p>A map of arguments used to configure the <code>DevEndpoint</code>.</p> <p>Valid arguments are:</p> <ul> <li> <p> <code>\"--enable-glue-datacatalog\": \"\"</code> </p> </li> <li> <p> <code>\"GLUE_PYTHON_VERSION\": \"3\"</code> </p> </li> <li> <p> <code>\"GLUE_PYTHON_VERSION\": \"2\"</code> </p> </li> </ul> <p>You can specify a version of Python support for development endpoints by using the <code>Arguments</code> parameter in the <code>CreateDevEndpoint</code> or <code>UpdateDevEndpoint</code> APIs. If no arguments are provided, the version defaults to Python 2.</p>"
"documentation":"<p>The paths to one or more Python libraries in an Amazon Simple Storage Service (Amazon S3) bucket that should be loaded in your <code>DevEndpoint</code>. Multiple values must be complete paths separated by a comma.</p> <note> <p>You can only use pure Python libraries with a <code>DevEndpoint</code>. Libraries that rely on C extensions, such as the <a href=\"http://pandas.pydata.org/\">pandas</a> Python data analysis library, are not currently supported.</p> </note>"
"documentation":"<p>The path to one or more Java <code>.jar</code> files in an S3 bucket that should be loaded in your <code>DevEndpoint</code>.</p> <note> <p>You can only use pure Java/Scala libraries with a <code>DevEndpoint</code>.</p> </note>"
"documentation":"<p>The maximum number of concurrent runs allowed for the job. The default is 1. An error is returned when this threshold is reached. The maximum value you can specify is controlled by a service limit.</p>"
"documentation":"<p>The area under the precision/recall curve (AUPRC) is a single number measuring the overall quality of the transform, that is independent of the choice made for precision vs. recall. Higher values indicate that you have a more attractive precision vs. recall tradeoff.</p> <p>For more information, see <a href=\"https://en.wikipedia.org/wiki/Precision_and_recall\">Precision and recall</a> in Wikipedia.</p>"
},
"Precision":{
"shape":"GenericBoundedDouble",
"documentation":"<p>The precision metric indicates when often your transform is correct when it predicts a match. Specifically, it measures how well the transform finds true positives from the total true positives possible.</p> <p>For more information, see <a href=\"https://en.wikipedia.org/wiki/Precision_and_recall\">Precision and recall</a> in Wikipedia.</p>"
},
"Recall":{
"shape":"GenericBoundedDouble",
"documentation":"<p>The recall metric indicates that for an actual match, how often your transform predicts the match. Specifically, it measures how well the transform finds true positives from the total records in the source data.</p> <p>For more information, see <a href=\"https://en.wikipedia.org/wiki/Precision_and_recall\">Precision and recall</a> in Wikipedia.</p>"
},
"F1":{
"shape":"GenericBoundedDouble",
"documentation":"<p>The maximum F1 metric indicates the transform's accuracy between 0 and 1, where 1 is the best accuracy.</p> <p>For more information, see <a href=\"https://en.wikipedia.org/wiki/F1_score\">F1 score</a> in Wikipedia.</p>"
},
"ConfusionMatrix":{
"shape":"ConfusionMatrix",
"documentation":"<p>The confusion matrix shows you what your transform is predicting accurately and what types of errors it is making.</p> <p>For more information, see <a href=\"https://en.wikipedia.org/wiki/Confusion_matrix\">Confusion matrix</a> in Wikipedia.</p>"
}
},
"documentation":"<p>The evaluation metrics for the find matches algorithm. The quality of your machine learning transform is measured by getting your transform to predict some matches and comparing the results to known matches from the same dataset. The quality metrics are based on a subset of your data, so they are not precise.</p>"
},
"FindMatchesParameters":{
"type":"structure",
"members":{
"PrimaryKeyColumnName":{
"shape":"ColumnNameString",
"documentation":"<p>The name of a column that uniquely identifies rows in the source table. Used to help identify matching records.</p>"
},
"PrecisionRecallTradeoff":{
"shape":"GenericBoundedDouble",
"documentation":"<p>The value selected when tuning your transform for a balance between precision and recall. A value of 0.5 means no preference; a value of 1.0 means a bias purely for precision, and a value of 0.0 means a bias for recall. Because this is a tradeoff, choosing values close to 1.0 means very low recall, and choosing values close to 0.0 results in very low precision.</p> <p>The precision metric indicates how often your model is correct when it predicts a match. </p> <p>The recall metric indicates that for an actual match, how often your model predicts the match.</p>"
},
"AccuracyCostTradeoff":{
"shape":"GenericBoundedDouble",
"documentation":"<p>The value that is selected when tuning your transform for a balance between accuracy and cost. A value of 0.5 means that the system balances accuracy and cost concerns. A value of 1.0 means a bias purely for accuracy, which typically results in a higher cost, sometimes substantially higher. A value of 0.0 means a bias purely for cost, which results in a less accurate <code>FindMatches</code> transform, sometimes with unacceptable accuracy.</p> <p>Accuracy measures how well the transform finds true positives and true negatives. Increasing accuracy requires more machine resources and cost. But it also results in increased recall. </p> <p>Cost measures how many compute resources, and thus money, are consumed to run the transform.</p>"
},
"EnforceProvidedLabels":{
"shape":"NullableBoolean",
"documentation":"<p>The value to switch on or off to force the output to match the provided labels from users. If the value is <code>True</code>, the <code>find matches</code> transform forces the output to match the provided labels. The results override the normal conflation results. If the value is <code>False</code>, the <code>find matches</code> transform does not ensure all the labels provided are respected, and the results rely on the trained model.</p> <p>Note that setting this value to true may increase the conflation execution time.</p>"
}
},
"documentation":"<p>The parameters to configure the find matches transform.</p>"
},
"FindMatchesTaskRunProperties":{
"type":"structure",
"members":{
"JobId":{
"shape":"HashString",
"documentation":"<p>The job ID for the Find Matches task run.</p>"
},
"JobName":{
"shape":"NameString",
"documentation":"<p>The name assigned to the job for the Find Matches task run.</p>"
},
"JobRunId":{
"shape":"HashString",
"documentation":"<p>The job run ID for the Find Matches task run.</p>"
}
},
"documentation":"<p>Specifies configuration properties for a Find Matches task run.</p>"
"documentation":"<p>Allows you to retrieve the connection metadata without returning the password. For instance, the AWS Glue console uses this flag to retrieve the connection, and does not display the password. Set this parameter when the caller might not have permission to use the AWS KMS key to decrypt the password, but it does have permission to access the rest of the connection properties.</p>"
"documentation":"<p>A criteria string that must match the criteria recorded in the connection definition for that connection definition to be returned.</p>"
"documentation":"<p>Allows you to retrieve the connection metadata without returning the password. For instance, the AWS Glue console uses this flag to retrieve the connection, and does not display the password. Set this parameter when the caller might not have permission to use the AWS KMS key to decrypt the password, but it does have permission to access the rest of the connection properties.</p>"
"documentation":"<p>The ID of the Data Catalog to retrieve the security configuration for. If none is provided, the AWS account ID is used by default.</p>"
"documentation":"<p>The ID of the Data Catalog from which to retrieve <code>Databases</code>. If none is provided, the AWS account ID is used by default.</p>"
"documentation":"<p>The unique identifier of the machine learning transform.</p>"
},
"TaskRunId":{
"shape":"HashString",
"documentation":"<p>The unique identifier of the task run.</p>"
}
}
},
"GetMLTaskRunResponse":{
"type":"structure",
"members":{
"TransformId":{
"shape":"HashString",
"documentation":"<p>The unique identifier of the task run.</p>"
},
"TaskRunId":{
"shape":"HashString",
"documentation":"<p>The unique run identifier associated with this run.</p>"
},
"Status":{
"shape":"TaskStatusType",
"documentation":"<p>The status for this task run.</p>"
},
"LogGroupName":{
"shape":"GenericString",
"documentation":"<p>The names of the log groups that are associated with the task run.</p>"
},
"Properties":{
"shape":"TaskRunProperties",
"documentation":"<p>The list of properties that are associated with the task run.</p>"
},
"ErrorString":{
"shape":"GenericString",
"documentation":"<p>The error strings that are associated with the task run.</p>"
},
"StartedOn":{
"shape":"Timestamp",
"documentation":"<p>The date and time when this task run started.</p>"
},
"LastModifiedOn":{
"shape":"Timestamp",
"documentation":"<p>The date and time when this task run was last modified.</p>"
},
"CompletedOn":{
"shape":"Timestamp",
"documentation":"<p>The date and time when this task run was completed.</p>"
},
"ExecutionTime":{
"shape":"ExecutionTime",
"documentation":"<p>The amount of time (in seconds) that the task run consumed resources.</p>"
}
}
},
"GetMLTaskRunsRequest":{
"type":"structure",
"required":["TransformId"],
"members":{
"TransformId":{
"shape":"HashString",
"documentation":"<p>The unique identifier of the machine learning transform.</p>"
},
"NextToken":{
"shape":"PaginationToken",
"documentation":"<p>A token for pagination of the results. The default is empty.</p>"
},
"MaxResults":{
"shape":"PageSize",
"documentation":"<p>The maximum number of results to return. </p>"
},
"Filter":{
"shape":"TaskRunFilterCriteria",
"documentation":"<p>The filter criteria, in the <code>TaskRunFilterCriteria</code> structure, for the task run.</p>"
},
"Sort":{
"shape":"TaskRunSortCriteria",
"documentation":"<p>The sorting criteria, in the <code>TaskRunSortCriteria</code> structure, for the task run.</p>"
}
}
},
"GetMLTaskRunsResponse":{
"type":"structure",
"members":{
"TaskRuns":{
"shape":"TaskRunList",
"documentation":"<p>A list of task runs that are associated with the transform.</p>"
},
"NextToken":{
"shape":"PaginationToken",
"documentation":"<p>A pagination token, if more results are available.</p>"
}
}
},
"GetMLTransformRequest":{
"type":"structure",
"required":["TransformId"],
"members":{
"TransformId":{
"shape":"HashString",
"documentation":"<p>The unique identifier of the transform, generated at the time that the transform was created.</p>"
}
}
},
"GetMLTransformResponse":{
"type":"structure",
"members":{
"TransformId":{
"shape":"HashString",
"documentation":"<p>The unique identifier of the transform, generated at the time that the transform was created.</p>"
},
"Name":{
"shape":"NameString",
"documentation":"<p>The unique name given to the transform when it was created.</p>"
},
"Description":{
"shape":"DescriptionString",
"documentation":"<p>A description of the transform.</p>"
},
"Status":{
"shape":"TransformStatusType",
"documentation":"<p>The last known status of the transform (to indicate whether it can be used or not). One of \"NOT_READY\", \"READY\", or \"DELETING\".</p>"
},
"CreatedOn":{
"shape":"Timestamp",
"documentation":"<p>The date and time when the transform was created.</p>"
},
"LastModifiedOn":{
"shape":"Timestamp",
"documentation":"<p>The date and time when the transform was last modified.</p>"
},
"InputRecordTables":{
"shape":"GlueTables",
"documentation":"<p>A list of AWS Glue table definitions used by the transform.</p>"
},
"Parameters":{
"shape":"TransformParameters",
"documentation":"<p>The configuration parameters that are specific to the algorithm used.</p>"
"documentation":"<p>The number of labels available for this transform.</p>"
},
"Schema":{
"shape":"TransformSchema",
"documentation":"<p>The <code>Map<Column, Type></code> object that represents the schema that this transform accepts. Has an upper bound of 100 columns.</p>"
},
"Role":{
"shape":"RoleString",
"documentation":"<p>The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.</p>"
"documentation":"<p>This value determines which version of AWS Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions\">AWS Glue Versions</a> in the developer guide.</p>"
"documentation":"<p>The number of AWS Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>. </p> <p>When the <code>WorkerType</code> field is set to a value other than <code>Standard</code>, the <code>MaxCapacity</code> field is set automatically and becomes read-only.</p>"
},
"WorkerType":{
"shape":"WorkerType",
"documentation":"<p>The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.</p> </li> </ul>"
},
"NumberOfWorkers":{
"shape":"NullableInteger",
"documentation":"<p>The number of workers of a defined <code>workerType</code> that are allocated when this task runs.</p>"
},
"Timeout":{
"shape":"Timeout",
"documentation":"<p>The timeout for a task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters <code>TIMEOUT</code> status. The default is 2,880 minutes (48 hours).</p>"
},
"MaxRetries":{
"shape":"NullableInteger",
"documentation":"<p>The maximum number of times to retry a task for this transform after a task run fails.</p>"
}
}
},
"GetMLTransformsRequest":{
"type":"structure",
"members":{
"NextToken":{
"shape":"PaginationToken",
"documentation":"<p>A paginated token to offset the results.</p>"
},
"MaxResults":{
"shape":"PageSize",
"documentation":"<p>The maximum number of results to return.</p>"
"documentation":"<p>The ID of the Data Catalog where the partition in question resides. If none is provided, the AWS account ID is used by default.</p>"
"documentation":"<p>The ID of the Data Catalog where the partitions in question reside. If none is provided, the AWS account ID is used by default.</p>"
"documentation":"<p>An expression that filters the partitions to be returned.</p> <p>The expression uses SQL syntax similar to the SQL <code>WHERE</code> filter clause. The SQL statement parser <a href=\"http://jsqlparser.sourceforge.net/home.php\">JSQLParser</a> parses the expression. </p> <p> <i>Operators</i>: The following are the operators that you can use in the <code>Expression</code> API call:</p> <dl> <dt>=</dt> <dd> <p>Checks whether the values of the two operands are equal; if yes, then the condition becomes true.</p> <p>Example: Assume 'variable a' holds 10 and 'variable b' holds 20. </p> <p>(a = b) is not true.</p> </dd> <dt>< ></dt> <dd> <p>Checks whether the values of two operands are equal; if the values are not equal, then the condition becomes true.</p> <p>Example: (a < > b) is true.</p> </dd> <dt>></dt> <dd> <p>Checks whether the value of the left operand is greater than the value of the right operand; if yes, then the condition becomes true.</p> <p>Example: (a > b) is not true.</p> </dd> <dt><</dt> <dd> <p>Checks whether the value of the left operand is less than the value of the right operand; if yes, then the condition becomes true.</p> <p>Example: (a < b) is true.</p> </dd> <dt>>=</dt> <dd> <p>Checks whether the value of the left operand is greater than or equal to the value of the right operand; if yes, then the condition becomes true.</p> <p>Example: (a >= b) is not true.</p> </dd> <dt><=</dt> <dd> <p>Checks whether the value of the left operand is less than or equal to the value of the right operand; if yes, then the condition becomes true.</p> <p>Example: (a <= b) is true.</p> </dd> <dt>AND, OR, IN, BETWEEN, LIKE, NOT, IS NULL</dt> <dd> <p>Logical operators.</p> </dd> </dl> <p> <i>Supported Partition Key Types</i>: The following are the supported partition keys.</p> <ul> <li> <p> <code>string</code> </p> </li> <li> <p> <code>date</code> </p> </li> <li> <p> <code>timestamp</code> </p> </li> <li> <p> <code>int</code> </p> </li> <li> <p> <code>bigint</code> </p> </li> <li> <p> <code>long</code> </p> </li> <li> <p> <code>tinyint</code> </p> </li> <li> <p> <code>smallint</code> </p> </li> <li> <p> <code>decimal</code> </p> </li> </ul> <p>If an invalid type is encountered, an exception is thrown. </p> <p>The following list shows the valid operators on each type. When you define a crawler, the <code>partitionKey</code> type is created as a <code>STRING</code>, to be compatible with the catalog partitions. </p> <p> <i>Sample API Call</i>: </p>"
"documentation":"<p>The ID value of the table version to be retrieved. A <code>VersionID</code> is a string representation of an integer. Each version is incremented by 1. </p>"
"documentation":"<p>The name of the job to retrieve triggers for. The trigger that can start this job is returned, and if there is no such trigger, all triggers are returned.</p>"
"documentation":"<p>The ID of the Data Catalog where the function to be retrieved is located. If none is provided, the AWS account ID is used by default.</p>"
"documentation":"<p>The ID of the Data Catalog where the functions to be retrieved are located. If none is provided, the AWS account ID is used by default.</p>"
"documentation":"<p>The grok pattern applied to a data store by this classifier. For more information, see built-in patterns in <a href=\"http://docs.aws.amazon.com/glue/latest/dg/custom-classifier.html\">Writing Custom Classifiers</a>.</p>"
"documentation":"<p>Optional custom grok patterns defined by this classifier. For more information, see custom patterns in <a href=\"http://docs.aws.amazon.com/glue/latest/dg/custom-classifier.html\">Writing Custom Classifiers</a>.</p>"
"documentation":"<p>A list of glob patterns used to exclude from the crawl. For more information, see <a href=\"http://docs.aws.amazon.com/glue/latest/dg/add-crawler.html\">Catalog Tables with a Crawler</a>.</p>"
"documentation":"<p>The default arguments for this job, specified as name-value pairs.</p> <p>You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes.</p> <p>For information about how to specify and consume your own Job arguments, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html\">Calling AWS Glue APIs in Python</a> topic in the developer guide.</p> <p>For information about the key-value pairs that AWS Glue consumes to set up your job, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html\">Special Parameters Used by AWS Glue</a> topic in the developer guide.</p>"
"documentation":"<p>This field is deprecated. Use <code>MaxCapacity</code> instead.</p> <p>The number of AWS Glue data processing units (DPUs) allocated to runs of this job. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>.</p> <p/>",
"documentation":"<p>The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters <code>TIMEOUT</code> status. The default is 2,880 minutes (48 hours).</p>"
"documentation":"<p>The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>.</p> <p>Do not set <code>Max Capacity</code> if using <code>WorkerType</code> and <code>NumberOfWorkers</code>.</p> <p>The value that can be allocated for <code>MaxCapacity</code> depends on whether you are running a Python shell job or an Apache Spark ETL job:</p> <ul> <li> <p>When you specify a Python shell job (<code>JobCommand.Name</code>=\"pythonshell\"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.</p> </li> <li> <p>When you specify an Apache Spark ETL job (<code>JobCommand.Name</code>=\"glueetl\"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.</p> </li> </ul>"
},
"WorkerType":{
"shape":"WorkerType",
"documentation":"<p>The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.</p> </li> </ul>"
},
"NumberOfWorkers":{
"shape":"NullableInteger",
"documentation":"<p>The number of workers of a defined <code>workerType</code> that are allocated when a job runs.</p> <p>The maximum number of workers you can define are 299 for <code>G.1X</code>, and 149 for <code>G.2X</code>. </p>"
},
"SecurityConfiguration":{
"shape":"NameString",
"documentation":"<p>The name of the <code>SecurityConfiguration</code> structure to be used with this job.</p>"
"documentation":"<p>Glue version determines the versions of Apache Spark and Python that AWS Glue supports. The Python version indicates the version supported for jobs of type Spark. </p> <p>For more information about the available AWS Glue versions and corresponding Spark and Python versions, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/add-job.html\">Glue version</a> in the developer guide.</p> <p>Jobs that are created without specifying a Glue version default to Glue 0.9.</p>"
"documentation":"<p>The name of the job command. For an Apache Spark ETL job, this must be <code>glueetl</code>. For a Python shell job, it must be <code>pythonshell</code>.</p>"
"documentation":"<p>The ID of the previous run of this job. For example, the <code>JobRunId</code> specified in the <code>StartJobRun</code> action.</p>"
"documentation":"<p>The job arguments associated with this run. For this job run, they replace the default arguments set in the job definition itself.</p> <p>You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes.</p> <p>For information about how to specify and consume your own job arguments, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html\">Calling AWS Glue APIs in Python</a> topic in the developer guide.</p> <p>For information about the key-value pairs that AWS Glue consumes to set up your job, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html\">Special Parameters Used by AWS Glue</a> topic in the developer guide.</p>"
"documentation":"<p>This field is deprecated. Use <code>MaxCapacity</code> instead.</p> <p>The number of AWS Glue data processing units (DPUs) allocated to this JobRun. From 2 to 100 DPUs can be allocated; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>.</p>",
"documentation":"<p>The <code>JobRun</code> timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters <code>TIMEOUT</code> status. The default is 2,880 minutes (48 hours). This overrides the timeout value set in the parent job.</p>"
"documentation":"<p>The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://docs.aws.amazon.com/https:/aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>.</p> <p>Do not set <code>Max Capacity</code> if using <code>WorkerType</code> and <code>NumberOfWorkers</code>.</p> <p>The value that can be allocated for <code>MaxCapacity</code> depends on whether you are running a Python shell job or an Apache Spark ETL job:</p> <ul> <li> <p>When you specify a Python shell job (<code>JobCommand.Name</code>=\"pythonshell\"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.</p> </li> <li> <p>When you specify an Apache Spark ETL job (<code>JobCommand.Name</code>=\"glueetl\"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.</p> </li> </ul>"
"documentation":"<p>The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.</p> </li> </ul>"
},
"NumberOfWorkers":{
"shape":"NullableInteger",
"documentation":"<p>The number of workers of a defined <code>workerType</code> that are allocated when a job runs.</p> <p>The maximum number of workers you can define are 299 for <code>G.1X</code>, and 149 for <code>G.2X</code>. </p>"
"documentation":"<p>The name of the log group for secure logging that can be server-side encrypted in Amazon CloudWatch using AWS KMS. This name can be <code>/aws-glue/jobs/</code>, in which case the default encryption is <code>NONE</code>. If you add a role name and <code>SecurityConfiguration</code> name (in other words, <code>/aws-glue/jobs-yourRoleName-yourSecurityConfigurationName/</code>), then that security configuration is used to encrypt the log group.</p>"
},
"NotificationProperty":{
"shape":"NotificationProperty",
"documentation":"<p>Specifies configuration properties of a job run notification.</p>"
},
"GlueVersion":{
"shape":"GlueVersionString",
"documentation":"<p>Glue version determines the versions of Apache Spark and Python that AWS Glue supports. The Python version indicates the version supported for jobs of type Spark. </p> <p>For more information about the available AWS Glue versions and corresponding Spark and Python versions, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/add-job.html\">Glue version</a> in the developer guide.</p> <p>Jobs that are created without specifying a Glue version default to Glue 0.9.</p>"
"documentation":"<p>The default arguments for this job.</p> <p>You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes.</p> <p>For information about how to specify and consume your own Job arguments, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html\">Calling AWS Glue APIs in Python</a> topic in the developer guide.</p> <p>For information about the key-value pairs that AWS Glue consumes to set up your job, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html\">Special Parameters Used by AWS Glue</a> topic in the developer guide.</p>"
"documentation":"<p>This field is deprecated. Use <code>MaxCapacity</code> instead.</p> <p>The number of AWS Glue data processing units (DPUs) to allocate to this job. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>.</p>",
"documentation":"<p>The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters <code>TIMEOUT</code> status. The default is 2,880 minutes (48 hours).</p>"
"documentation":"<p>The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>.</p> <p>Do not set <code>Max Capacity</code> if using <code>WorkerType</code> and <code>NumberOfWorkers</code>.</p> <p>The value that can be allocated for <code>MaxCapacity</code> depends on whether you are running a Python shell job or an Apache Spark ETL job:</p> <ul> <li> <p>When you specify a Python shell job (<code>JobCommand.Name</code>=\"pythonshell\"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.</p> </li> <li> <p>When you specify an Apache Spark ETL job (<code>JobCommand.Name</code>=\"glueetl\"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.</p> </li> </ul>"
"documentation":"<p>The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.</p> </li> </ul>"
},
"NumberOfWorkers":{
"shape":"NullableInteger",
"documentation":"<p>The number of workers of a defined <code>workerType</code> that are allocated when a job runs.</p> <p>The maximum number of workers you can define are 299 for <code>G.1X</code>, and 149 for <code>G.2X</code>. </p>"
"documentation":"<p>The name of the <code>SecurityConfiguration</code> structure to be used with this job.</p>"
},
"NotificationProperty":{
"shape":"NotificationProperty",
"documentation":"<p>Specifies the configuration properties of a job notification.</p>"
},
"GlueVersion":{
"shape":"GlueVersionString",
"documentation":"<p>Glue version determines the versions of Apache Spark and Python that AWS Glue supports. The Python version indicates the version supported for jobs of type Spark. </p> <p>For more information about the available AWS Glue versions and corresponding Spark and Python versions, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/add-job.html\">Glue version</a> in the developer guide.</p>"
"documentation":"<p>Specifies information used to update an existing job definition. The previous job definition is completely overwritten by this information.</p>"
"documentation":"<p>A <code>JsonPath</code> string defining the JSON data for the classifier to classify. AWS Glue supports a subset of <code>JsonPath</code>, as described in <a href=\"https://docs.aws.amazon.com/glue/latest/dg/custom-classifier.html#custom-classifier-json\">Writing JsonPath Custom Classifiers</a>.</p>"
"documentation":"<p>A continuation token, if this is a continuation request.</p>"
},
"MaxResults":{
"shape":"PageSize",
"documentation":"<p>The maximum size of a list to return.</p>"
},
"Filter":{
"shape":"TransformFilterCriteria",
"documentation":"<p>A <code>TransformFilterCriteria</code> used to filter the machine learning transforms.</p>"
},
"Sort":{
"shape":"TransformSortCriteria",
"documentation":"<p>A <code>TransformSortCriteria</code> used to sort the machine learning transforms.</p>"
},
"Tags":{
"shape":"TagsMap",
"documentation":"<p>Specifies to return only these tagged resources.</p>"
}
}
},
"ListMLTransformsResponse":{
"type":"structure",
"required":["TransformIds"],
"members":{
"TransformIds":{
"shape":"TransformIdList",
"documentation":"<p>The identifiers of all the machine learning transforms in the account, or the machine learning transforms with the specified tags.</p>"
},
"NextToken":{
"shape":"PaginationToken",
"documentation":"<p>A continuation token, if the returned list does not contain the last metric available.</p>"
"documentation":"<p> The name of the job for which to retrieve triggers. The trigger that can start this job is returned. If there is no such trigger, all triggers are returned.</p>"
"documentation":"<p>The unique transform ID that is generated for the machine learning transform. The ID is guaranteed to be unique and does not change.</p>"
"documentation":"<p>A user-defined, long-form description text for the machine learning transform. Descriptions are not guaranteed to be unique and can be changed at any time.</p>"
"documentation":"<p>A timestamp. The last point in time when this machine learning transform was modified.</p>"
},
"InputRecordTables":{
"shape":"GlueTables",
"documentation":"<p>A list of AWS Glue table definitions used by the transform.</p>"
},
"Parameters":{
"shape":"TransformParameters",
"documentation":"<p>A <code>TransformParameters</code> object. You can use parameters to tune (customize) the behavior of the machine learning transform by specifying what data it learns from and your preference on various tradeoffs (such as precious vs. recall, or accuracy vs. cost).</p>"
},
"EvaluationMetrics":{
"shape":"EvaluationMetrics",
"documentation":"<p>An <code>EvaluationMetrics</code> object. Evaluation metrics provide an estimate of the quality of your machine learning transform.</p>"
},
"LabelCount":{
"shape":"LabelCount",
"documentation":"<p>A count identifier for the labeling files generated by AWS Glue for this transform. As you create a better transform, you can iteratively download, label, and upload the labeling file.</p>"
},
"Schema":{
"shape":"TransformSchema",
"documentation":"<p>A map of key-value pairs representing the columns and data types that this transform can run against. Has an upper bound of 100 columns.</p>"
"documentation":"<p>The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. The required permissions include both AWS Glue service role permissions to AWS Glue resources, and Amazon S3 permissions required by the transform. </p> <ul> <li> <p>This role needs AWS Glue service role permissions to allow access to resources in AWS Glue. See <a href=\"https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html\">Attach a Policy to IAM Users That Access AWS Glue</a>.</p> </li> <li> <p>This role needs permission to your Amazon Simple Storage Service (Amazon S3) sources, targets, temporary directory, scripts, and any libraries used by the task run for this transform.</p> </li> </ul>"
},
"GlueVersion":{
"shape":"GlueVersionString",
"documentation":"<p>This value determines which version of AWS Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions\">AWS Glue Versions</a> in the developer guide.</p>"
"documentation":"<p>The number of AWS Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"http://aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>. </p> <p> <code>MaxCapacity</code> is a mutually exclusive option with <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code> is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p> </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must both be at least 1.</p> </li> </ul> <p>When the <code>WorkerType</code> field is set to a value other than <code>Standard</code>, the <code>MaxCapacity</code> field is set automatically and becomes read-only.</p>"
"documentation":"<p>The type of predefined worker that is allocated when a task of this transform runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.</p> </li> </ul> <p> <code>MaxCapacity</code> is a mutually exclusive option with <code>NumberOfWorkers</code> and <code>WorkerType</code>.</p> <ul> <li> <p>If either <code>NumberOfWorkers</code> or <code>WorkerType</code> is set, then <code>MaxCapacity</code> cannot be set.</p> </li> <li> <p>If <code>MaxCapacity</code> is set then neither <code>NumberOfWorkers</code> or <code>WorkerType</code> can be set.</p> </li> <li> <p>If <code>WorkerType</code> is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p> </li> <li> <p> <code>MaxCapacity</code> and <code>NumberOfWorkers</code> must both be at least 1.</p> </li> </ul>"
"documentation":"<p>The number of workers of a defined <code>workerType</code> that are allocated when a task of the transform runs.</p> <p>If <code>WorkerType</code> is set, then <code>NumberOfWorkers</code> is required (and vice versa).</p>"
"documentation":"<p>The values of the partition. Although this parameter is not required by the SDK, you must specify this parameter for a valid input.</p> <p>The values for the keys for the new partition must be passed as an array of String objects that must be ordered in the same order as the partition keys appearing in the Amazon S3 prefix. Otherwise AWS Glue will add the values to the wrong keys.</p>"
"documentation":"<p>The connection's Availability Zone. This field is redundant because the specified subnet implies the Availability Zone to be used. Currently the field must be populated, but it will be deprecated in the future.</p>"
"documentation":"<p>The hash value returned when the previous policy was set using <code>PutResourcePolicy</code>. Its purpose is to prevent concurrent modifications of a policy. Do not use this parameter if no previous policy has been set.</p>"
"documentation":"<p>A value of <code>MUST_EXIST</code> is used to update a policy. A value of <code>NOT_EXIST</code> is used to create a new policy. If a value of <code>NONE</code> or a null value is used, the call will not depend on the existence of a policy.</p>"
}
}
},
"PutResourcePolicyResponse":{
"type":"structure",
"members":{
"PolicyHash":{
"shape":"HashString",
"documentation":"<p>A hash of the policy that has just been set. This must be included in a subsequent call that overwrites or updates this policy.</p>"
"documentation":"<p>A list of glob patterns used to exclude from the crawl. For more information, see <a href=\"http://docs.aws.amazon.com/glue/latest/dg/add-crawler.html\">Catalog Tables with a Crawler</a>.</p>"
"documentation":"<p>A <code>cron</code> expression used to specify the schedule. For more information, see <a href=\"http://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html\">Time-Based Schedules for Jobs and Crawlers</a>. For example, to run something every day at 12:15 UTC, specify <code>cron(15 12 * * ? *)</code>.</p>"
"documentation":"<p>The type of data in the column.</p>"
}
},
"documentation":"<p>A key-value pair representing a column and data type that this transform can run against. The <code>Schema</code> parameter of the <code>MLTransform</code> may contain up to 100 of these structures.</p>"
"documentation":"<p>A unique identifier, consisting of <code> <i>account_id</i>/datalake</code>.</p>"
},
"NextToken":{
"shape":"Token",
"documentation":"<p>A continuation token, included if this is a continuation call.</p>"
},
"Filters":{
"shape":"SearchPropertyPredicates",
"documentation":"<p>A list of key-value pairs, and a comparator used to filter the search results. Returns all entities matching the predicate.</p>"
},
"SearchText":{
"shape":"ValueString",
"documentation":"<p>A string used for a text search.</p> <p>Specifying a value in quotes filters based on an exact match to the value.</p>"
},
"SortCriteria":{
"shape":"SortCriteria",
"documentation":"<p>A list of criteria for sorting the results by a field name, in an ascending or descending order.</p>"
},
"MaxResults":{
"shape":"PageSize",
"documentation":"<p>The maximum number of tables to return in a single response.</p>"
}
}
},
"SearchTablesResponse":{
"type":"structure",
"members":{
"NextToken":{
"shape":"Token",
"documentation":"<p>A continuation token, present if the current list segment is not the last.</p>"
},
"TableList":{
"shape":"TableList",
"documentation":"<p>A list of the requested <code>Table</code> objects. The <code>SearchTables</code> response returns only the tables that you have access to.</p>"
"documentation":"<p>The zero-based index number of the segment. For example, if the total number of segments is 4, <code>SegmentNumber</code> values range from 0 through 3.</p>"
"documentation":"<p>The job arguments specifically for this run. For this job run, they replace the default arguments set in the job definition itself.</p> <p>You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes.</p> <p>For information about how to specify and consume your own Job arguments, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html\">Calling AWS Glue APIs in Python</a> topic in the developer guide.</p> <p>For information about the key-value pairs that AWS Glue consumes to set up your job, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html\">Special Parameters Used by AWS Glue</a> topic in the developer guide.</p>"
"documentation":"<p>This field is deprecated. Use <code>MaxCapacity</code> instead.</p> <p>The number of AWS Glue data processing units (DPUs) to allocate to this JobRun. From 2 to 100 DPUs can be allocated; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://docs.aws.amazon.com/https:/aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>.</p>",
"documentation":"<p>The <code>JobRun</code> timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters <code>TIMEOUT</code> status. The default is 2,880 minutes (48 hours). This overrides the timeout value set in the parent job.</p>"
"documentation":"<p>The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://docs.aws.amazon.com/https:/aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>.</p> <p>Do not set <code>Max Capacity</code> if using <code>WorkerType</code> and <code>NumberOfWorkers</code>.</p> <p>The value that can be allocated for <code>MaxCapacity</code> depends on whether you are running a Python shell job, or an Apache Spark ETL job:</p> <ul> <li> <p>When you specify a Python shell job (<code>JobCommand.Name</code>=\"pythonshell\"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.</p> </li> <li> <p>When you specify an Apache Spark ETL job (<code>JobCommand.Name</code>=\"glueetl\"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.</p> </li> </ul>"
},
"SecurityConfiguration":{
"shape":"NameString",
"documentation":"<p>The name of the <code>SecurityConfiguration</code> structure to be used with this job run.</p>"
"documentation":"<p>The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.</p> </li> </ul>"
},
"NumberOfWorkers":{
"shape":"NullableInteger",
"documentation":"<p>The number of workers of a defined <code>workerType</code> that are allocated when a job runs.</p> <p>The maximum number of workers you can define are 299 for <code>G.1X</code>, and 149 for <code>G.2X</code>. </p>"
"documentation":"<p>The physical location of the table. By default, this takes the form of the warehouse location, followed by the database location in the warehouse, followed by the table name.</p>"
"documentation":"<p>The input format: <code>SequenceFileInputFormat</code> (binary), or <code>TextInputFormat</code>, or a custom format.</p>"
},
"OutputFormat":{
"shape":"FormatString",
"documentation":"<p>The output format: <code>SequenceFileOutputFormat</code> (binary), or <code>IgnoreKeyTextOutputFormat</code>, or a custom format.</p>"
"documentation":"<p>A list of columns by which the table is partitioned. Only primitive types are supported as partition keys.</p> <p>When you create a table used by Amazon Athena, and you do not specify any <code>partitionKeys</code>, you must at least set the value of <code>partitionKeys</code> to an empty list. For example:</p> <p> <code>\"PartitionKeys\": []</code> </p>"
"documentation":"<p>A list of columns by which the table is partitioned. Only primitive types are supported as partition keys.</p> <p>When you create a table used by Amazon Athena, and you do not specify any <code>partitionKeys</code>, you must at least set the value of <code>partitionKeys</code> to an empty list. For example:</p> <p> <code>\"PartitionKeys\": []</code> </p>"
"documentation":"<p>The ID value that identifies this table version. A <code>VersionId</code> is a string representation of an integer. Each version is incremented by 1.</p>"
"documentation":"<p>The ID value of the version in question. A <code>VersionID</code> is a string representation of an integer. Each version is incremented by 1.</p>"
"documentation":"<p>The ARN of the AWS Glue resource to which to add the tags. For more information about AWS Glue resource ARNs, see the <a href=\"https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api-common.html#aws-glue-api-regex-aws-glue-arn-id\">AWS Glue ARN string pattern</a>.</p>"
"documentation":"<p>A unique transform name that is used to filter the machine learning transforms.</p>"
},
"TransformType":{
"shape":"TransformType",
"documentation":"<p>The type of machine learning transform that is used to filter the machine learning transforms.</p>"
},
"Status":{
"shape":"TransformStatusType",
"documentation":"<p>Filters the list of machine learning transforms by the last known status of the transforms (to indicate whether a transform can be used or not). One of \"NOT_READY\", \"READY\", or \"DELETING\".</p>"
"documentation":"<p>This value determines which version of AWS Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions\">AWS Glue Versions</a> in the developer guide.</p>"
"documentation":"<p>The time and date before which the transforms were created.</p>"
},
"CreatedAfter":{
"shape":"Timestamp",
"documentation":"<p>The time and date after which the transforms were created.</p>"
},
"LastModifiedBefore":{
"shape":"Timestamp",
"documentation":"<p>Filter on transforms last modified before this date.</p>"
},
"LastModifiedAfter":{
"shape":"Timestamp",
"documentation":"<p>Filter on transforms last modified after this date.</p>"
},
"Schema":{
"shape":"TransformSchema",
"documentation":"<p>Filters on datasets with a specific schema. The <code>Map<Column, Type></code> object is an array of key-value pairs representing the schema this transform accepts, where <code>Column</code> is the name of a column, and <code>Type</code> is the type of the data such as an integer or string. Has an upper bound of 100 columns.</p>"
}
},
"documentation":"<p>The criteria used to filter the machine learning transforms.</p>"
"documentation":"<p>The type of machine learning transform.</p> <p>For information about the types of machine learning transforms, see <a href=\"http://docs.aws.amazon.com/glue/latest/dg/add-job-machine-learning-transform.html\">Creating Machine Learning Transforms</a>.</p>"
},
"FindMatchesParameters":{
"shape":"FindMatchesParameters",
"documentation":"<p>The parameters for the find matches algorithm.</p>"
}
},
"documentation":"<p>The algorithm-specific parameters that are associated with the machine learning transform.</p>"
},
"TransformSchema":{
"type":"list",
"member":{"shape":"SchemaColumn"},
"max":100
},
"TransformSortColumnType":{
"type":"string",
"enum":[
"NAME",
"TRANSFORM_TYPE",
"STATUS",
"CREATED",
"LAST_MODIFIED"
]
},
"TransformSortCriteria":{
"type":"structure",
"required":[
"Column",
"SortDirection"
],
"members":{
"Column":{
"shape":"TransformSortColumnType",
"documentation":"<p>The column to be used in the sorting criteria that are associated with the machine learning transform.</p>"
},
"SortDirection":{
"shape":"SortDirectionType",
"documentation":"<p>The sort direction to be used in the sorting criteria that are associated with the machine learning transform.</p>"
}
},
"documentation":"<p>The sorting criteria that are associated with the machine learning transform.</p>"
"documentation":"<p>A <code>cron</code> expression used to specify the schedule (see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html\">Time-Based Schedules for Jobs and Crawlers</a>. For example, to run something every day at 12:15 UTC, you would specify: <code>cron(15 12 * * ? *)</code>.</p>"
"documentation":"<p>A <code>cron</code> expression used to specify the schedule (see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html\">Time-Based Schedules for Jobs and Crawlers</a>. For example, to run something every day at 12:15 UTC, you would specify: <code>cron(15 12 * * ? *)</code>.</p>"
"documentation":"<p>A structure used to provide information used to update a trigger. This object updates the previous trigger definition by overwriting it completely.</p>"
"documentation":"<p>A <code>cron</code> expression used to specify the schedule. For more information, see <a href=\"http://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html\">Time-Based Schedules for Jobs and Crawlers</a>. For example, to run something every day at 12:15 UTC, specify <code>cron(15 12 * * ? *)</code>.</p>"
"documentation":"<p>A list of custom classifiers that the user has registered. By default, all built-in classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.</p>"
"documentation":"<p>The crawler configuration information. This versioned JSON string allows users to specify aspects of a crawler's behavior. For more information, see <a href=\"http://docs.aws.amazon.com/glue/latest/dg/crawler-configuration.html\">Configuring a Crawler</a>.</p>"
"documentation":"<p>The updated <code>cron</code> expression used to specify the schedule. For more information, see <a href=\"http://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html\">Time-Based Schedules for Jobs and Crawlers</a>. For example, to run something every day at 12:15 UTC, specify <code>cron(15 12 * * ? *)</code>.</p>"
"documentation":"<p>The ID of the Data Catalog in which the metadata database resides. If none is provided, the AWS account ID is used by default.</p>"
"documentation":"<p> <code>True</code> if the list of custom libraries to be loaded in the development endpoint needs to be updated, or <code>False</code> if otherwise.</p>"
},
"DeleteArguments":{
"shape":"StringList",
"documentation":"<p>The list of argument keys to be deleted from the map of arguments used to configure the <code>DevEndpoint</code>.</p>"
"documentation":"<p>The map of arguments to add the map of arguments used to configure the <code>DevEndpoint</code>.</p> <p>Valid arguments are:</p> <ul> <li> <p> <code>\"--enable-glue-datacatalog\": \"\"</code> </p> </li> <li> <p> <code>\"GLUE_PYTHON_VERSION\": \"3\"</code> </p> </li> <li> <p> <code>\"GLUE_PYTHON_VERSION\": \"2\"</code> </p> </li> </ul> <p>You can specify a version of Python support for development endpoints by using the <code>Arguments</code> parameter in the <code>CreateDevEndpoint</code> or <code>UpdateDevEndpoint</code> APIs. If no arguments are provided, the version defaults to Python 2.</p>"
"documentation":"<p>An identifier of the data format that the classifier matches, such as Twitter, JSON, Omniture logs, Amazon CloudWatch Logs, and so on.</p>"
"documentation":"<p>A <code>JsonPath</code> string defining the JSON data for the classifier to classify. AWS Glue supports a subset of <code>JsonPath</code>, as described in <a href=\"https://docs.aws.amazon.com/glue/latest/dg/custom-classifier.html#custom-classifier-json\">Writing JsonPath Custom Classifiers</a>.</p>"
"documentation":"<p>A unique identifier that was generated when the transform was created.</p>"
},
"Name":{
"shape":"NameString",
"documentation":"<p>The unique name that you gave the transform when you created it.</p>"
},
"Description":{
"shape":"DescriptionString",
"documentation":"<p>A description of the transform. The default is an empty string.</p>"
},
"Parameters":{
"shape":"TransformParameters",
"documentation":"<p>The configuration parameters that are specific to the transform type (algorithm) used. Conditionally dependent on the transform type.</p>"
},
"Role":{
"shape":"RoleString",
"documentation":"<p>The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.</p>"
"documentation":"<p>This value determines which version of AWS Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see <a href=\"https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions\">AWS Glue Versions</a> in the developer guide.</p>"
"documentation":"<p>The number of AWS Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://aws.amazon.com/glue/pricing/\">AWS Glue pricing page</a>. </p> <p>When the <code>WorkerType</code> field is set to a value other than <code>Standard</code>, the <code>MaxCapacity</code> field is set automatically and becomes read-only.</p>"
},
"WorkerType":{
"shape":"WorkerType",
"documentation":"<p>The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.</p> </li> </ul>"
},
"NumberOfWorkers":{
"shape":"NullableInteger",
"documentation":"<p>The number of workers of a defined <code>workerType</code> that are allocated when this task runs.</p>"
},
"Timeout":{
"shape":"Timeout",
"documentation":"<p>The timeout for a task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters <code>TIMEOUT</code> status. The default is 2,880 minutes (48 hours).</p>"
},
"MaxRetries":{
"shape":"NullableInteger",
"documentation":"<p>The maximum number of times to retry a task for this transform after a task run fails.</p>"
}
}
},
"UpdateMLTransformResponse":{
"type":"structure",
"members":{
"TransformId":{
"shape":"HashString",
"documentation":"<p>The unique identifier for the transform that was updated.</p>"
"documentation":"<p>The ID of the Data Catalog where the partition to be updated resides. If none is provided, the AWS account ID is used by default.</p>"
"documentation":"<p>By default, <code>UpdateTable</code> always creates an archived version of the table before updating it. However, if <code>skipArchive</code> is set to true, <code>UpdateTable</code> does not create the archived version.</p>"
"documentation":"<p>The ID of the Data Catalog where the function to be updated is located. If none is provided, the AWS account ID is used by default.</p>"
"documentation":"<p>The XML tag designating the element that contains each record in an XML document being parsed. This cannot identify a self-closing element (closed by <code>/></code>). An empty row element that contains only attributes can be parsed as long as it ends with a closing tag (for example, <code><row item_a=\"A\" item_b=\"B\"></row></code> is okay, but <code><row item_a=\"A\" item_b=\"B\" /></code> is not).</p>"
"documentation":"<p>The name of the workflow representing the flow.</p>"
},
"Description":{
"shape":"GenericString",
"documentation":"<p>A description of the workflow.</p>"
},
"DefaultRunProperties":{
"shape":"WorkflowRunProperties",
"documentation":"<p>A collection of properties to be used as part of each execution of the workflow.</p>"
},
"CreatedOn":{
"shape":"TimestampValue",
"documentation":"<p>The date and time when the workflow was created.</p>"
},
"LastModifiedOn":{
"shape":"TimestampValue",
"documentation":"<p>The date and time when the workflow was last modified.</p>"
},
"LastRun":{
"shape":"WorkflowRun",
"documentation":"<p>The information about the last execution of the workflow.</p>"
},
"Graph":{
"shape":"WorkflowGraph",
"documentation":"<p>The graph representing all the AWS Glue components that belong to the workflow as nodes and directed connections between them as edges.</p>"
}
},
"documentation":"<p>A workflow represents a flow in which AWS Glue components should be executed to complete a logical task.</p>"
},
"WorkflowGraph":{
"type":"structure",
"members":{
"Nodes":{
"shape":"NodeList",
"documentation":"<p>A list of the the AWS Glue components belong to the workflow represented as nodes.</p>"
},
"Edges":{
"shape":"EdgeList",
"documentation":"<p>A list of all the directed connections between the nodes belonging to the workflow.</p>"
}
},
"documentation":"<p>A workflow graph represents the complete workflow containing all the AWS Glue components present in the workflow and all the directed connections between them.</p>"
},
"WorkflowNames":{
"type":"list",
"member":{"shape":"NameString"},
"max":25,
"min":1
},
"WorkflowRun":{
"type":"structure",
"members":{
"Name":{
"shape":"NameString",
"documentation":"<p>Name of the workflow which was executed.</p>"
},
"WorkflowRunId":{
"shape":"IdString",
"documentation":"<p>The ID of this workflow run.</p>"
},
"WorkflowRunProperties":{
"shape":"WorkflowRunProperties",
"documentation":"<p>The workflow run properties which were set during the run.</p>"
},
"StartedOn":{
"shape":"TimestampValue",
"documentation":"<p>The date and time when the workflow run was started.</p>"
},
"CompletedOn":{
"shape":"TimestampValue",
"documentation":"<p>The date and time when the workflow run completed.</p>"
},
"Status":{
"shape":"WorkflowRunStatus",
"documentation":"<p>The status of the workflow run.</p>"
},
"Statistics":{
"shape":"WorkflowRunStatistics",
"documentation":"<p>The statistics of the run.</p>"
},
"Graph":{
"shape":"WorkflowGraph",
"documentation":"<p>The graph representing all the AWS Glue components that belong to the workflow as nodes and directed connections between them as edges.</p>"
}
},
"documentation":"<p>A workflow run is an execution of a workflow providing all the runtime information.</p>"
},
"WorkflowRunProperties":{
"type":"map",
"key":{"shape":"IdString"},
"value":{"shape":"GenericString"}
},
"WorkflowRunStatistics":{
"type":"structure",
"members":{
"TotalActions":{
"shape":"IntegerValue",
"documentation":"<p>Total number of Actions in the workflow run.</p>"
},
"TimeoutActions":{
"shape":"IntegerValue",
"documentation":"<p>Total number of Actions which timed out.</p>"
},
"FailedActions":{
"shape":"IntegerValue",
"documentation":"<p>Total number of Actions which have failed.</p>"
},
"StoppedActions":{
"shape":"IntegerValue",
"documentation":"<p>Total number of Actions which have stopped.</p>"
},
"SucceededActions":{
"shape":"IntegerValue",
"documentation":"<p>Total number of Actions which have succeeded.</p>"
},
"RunningActions":{
"shape":"IntegerValue",
"documentation":"<p>Total number Actions in running state.</p>"
}
},
"documentation":"<p>Workflow run statistics provides statistics about the workflow run.</p>"
"documentation":"<p>The XML tag designating the element that contains each record in an XML document being parsed. This can't identify a self-closing element (closed by <code>/></code>). An empty row element that contains only attributes can be parsed as long as it ends with a closing tag (for example, <code><row item_a=\"A\" item_b=\"B\"></row></code> is okay, but <code><row item_a=\"A\" item_b=\"B\" /></code> is not).</p>"