A list of public keys to be used by the development endpoints for authentication. Creates a new security configuration. cloud
When you specify an Apache Spark ETL job (JobCommand.Name="glueetl") or Apache Spark streaming ETL job (JobCommand.Name="gluestreaming"), you can allocate from 2 to 100 DPUs. A criteria string that must match the criteria recorded in the connection definition for that connection definition to be returned. Deletes the entire schema set, including the schema set and all of its versions. Specifies the name of a database from which you want to delete a partition index. Data catalog: The data catalog holds the metadata and the structure of the data. The type of predefined worker that is allocated when a job runs. For more information about tags in AWS Glue, see AWS Tags in AWS Glue in the developer guide. A list of errors that can occur when registering partition indexes for an existing table. These clients are safe to use concurrently. Currently, this should be the AWS account ID. Deletes the entire schema set, including the schema set and all of its versions. The ID of the Data Catalog where the function to be retrieved is located. The Amazon Simple Storage Service (Amazon S3) path from where you import the labels. For more information, see the AWS Glue pricing page. A VersionId is a string representation of an integer. The current state of the job run. Details of the Trigger when the node represents a Trigger. use when instantiating a service. If a You can use this choice when you need to add or remove optional fields, but only check compatibility against the last schema version. By default, this takes the form of the warehouse location, followed by the database location in the warehouse, followed by the table name. Set to true to start SCHEDULED and CONDITIONAL triggers when created. Creates a new database in a Data Catalog. May be a value of Standard, G.1X, or G.2X. Glue
when region Tutorial: Creating a Machine Learning Transform Returns an Endpoint object representing the endpoint URL Use this to compensate for clock skew Gets a list of runs for a machine learning transform. If none is provided, the AWS account ID is used by default. For Hive compatibility, this name is entirely lowercase. The configuration properties for a labeling set generation task run. Deletes a list of connection definitions from the Data Catalog. For Hive compatibility, this name is entirely lowercase. Calling the deleteColumnStatisticsForTable operation. A list of all the directed connections between the nodes belonging to the workflow. Specifies Amazon DocumentDB or MongoDB targets. Calling the updateCrawlerSchedule operation. This error message describes any error that may have occurred in starting the workflow run. ENCRYPTED_PASSWORD - When you enable connection password protection by setting ConnectionPasswordEncryption in the Data Catalog encryption settings, this field stores the encrypted password. The Python version being used to execute a Python shell job. The last point in time when this job definition was modified. The version of this schema (for sync flow only, in case this is the first version). You have to remove the checkpoint first using the DeleteSchemaCheckpoint API before using this API. Port details: rubygem-aws-sdk-glue Official AWS Ruby gem for AWS Glue 1.83.0 devel =0 1.81.0 Version of this port present on the latest quarterly branch. The schema definition using the DataFormat setting for SchemaName. Validates the supplied schema. The map of arguments to add the map of arguments used to configure the DevEndpoint. Calling the deleteColumnStatisticsForPartition operation. By default, StartMLLabelingSetGenerationTaskRun continually learns from and combines all labels that you upload unless you set Replace to true. A value of MUST_EXIST is used to update a policy. It provides support for API lifecycle consideration such as credential management, retries, data marshaling, and serialization. Retrieves the names of all DevEndpoint resources in this AWS account, or the resources with the specified tag. The grok pattern used by this classifier. Description The purpose of this class is to demonstrate a proof of concept using a series of lab exercise's (in the AWS Console using AWS Kinesis Data Firehose, AWS Glue, S3, Athena and the AWS SDK, with C# code using the AWS SDK) of building a Data Lake in the AWS ecosystem.