CodeGenConfigurationNode
CodeGenConfigurationNode enumerates all valid Node types. One and only one of its member variables can be populated.
Contents
- Aggregate
-
Specifies a transform that groups rows by chosen fields and computes the aggregated value by specified function.
Type: Aggregate object
Required: No
- AmazonRedshiftSource
-
Specifies a target that writes to a data source in Amazon Redshift.
Type: AmazonRedshiftSource object
Required: No
- AmazonRedshiftTarget
-
Specifies a target that writes to a data target in Amazon Redshift.
Type: AmazonRedshiftTarget object
Required: No
- ApplyMapping
-
Specifies a transform that maps data property keys in the data source to data property keys in the data target. You can rename keys, modify the data types for keys, and choose which keys to drop from the dataset.
Type: ApplyMapping object
Required: No
- AthenaConnectorSource
-
Specifies a connector to an Amazon Athena data source.
Type: AthenaConnectorSource object
Required: No
- CatalogDeltaSource
-
Specifies a Delta Lake data source that is registered in the AWS Glue Data Catalog.
Type: CatalogDeltaSource object
Required: No
- CatalogHudiSource
-
Specifies a Hudi data source that is registered in the AWS Glue Data Catalog.
Type: CatalogHudiSource object
Required: No
- CatalogKafkaSource
-
Specifies an Apache Kafka data store in the Data Catalog.
Type: CatalogKafkaSource object
Required: No
- CatalogKinesisSource
-
Specifies a Kinesis data source in the AWS Glue Data Catalog.
Type: CatalogKinesisSource object
Required: No
- CatalogSource
-
Specifies a data store in the AWS Glue Data Catalog.
Type: CatalogSource object
Required: No
- CatalogTarget
-
Specifies a target that uses a AWS Glue Data Catalog table.
Type: BasicCatalogTarget object
Required: No
- ConnectorDataSource
-
Specifies a source generated with standard connection options.
Type: ConnectorDataSource object
Required: No
- ConnectorDataTarget
-
Specifies a target generated with standard connection options.
Type: ConnectorDataTarget object
Required: No
- CustomCode
-
Specifies a transform that uses custom code you provide to perform the data transformation. The output is a collection of DynamicFrames.
Type: CustomCode object
Required: No
- DirectJDBCSource
-
Specifies the direct JDBC source connection.
Type: DirectJDBCSource object
Required: No
- DirectKafkaSource
-
Specifies an Apache Kafka data store.
Type: DirectKafkaSource object
Required: No
- DirectKinesisSource
-
Specifies a direct Amazon Kinesis data source.
Type: DirectKinesisSource object
Required: No
- DropDuplicates
-
Specifies a transform that removes rows of repeating data from a data set.
Type: DropDuplicates object
Required: No
- DropFields
-
Specifies a transform that chooses the data property keys that you want to drop.
Type: DropFields object
Required: No
- DropNullFields
-
Specifies a transform that removes columns from the dataset if all values in the column are 'null'. By default, AWS Glue Studio will recognize null objects, but some values such as empty strings, strings that are "null", -1 integers or other placeholders such as zeros, are not automatically recognized as nulls.
Type: DropNullFields object
Required: No
- DynamicTransform
-
Specifies a custom visual transform created by a user.
Type: DynamicTransform object
Required: No
- DynamoDBCatalogSource
-
Specifies a DynamoDBC Catalog data store in the AWS Glue Data Catalog.
Type: DynamoDBCatalogSource object
Required: No
- EvaluateDataQuality
-
Specifies your data quality evaluation criteria.
Type: EvaluateDataQuality object
Required: No
- EvaluateDataQualityMultiFrame
-
Specifies your data quality evaluation criteria. Allows multiple input data and returns a collection of Dynamic Frames.
Type: EvaluateDataQualityMultiFrame object
Required: No
- FillMissingValues
-
Specifies a transform that locates records in the dataset that have missing values and adds a new field with a value determined by imputation. The input data set is used to train the machine learning model that determines what the missing value should be.
Type: FillMissingValues object
Required: No
- Filter
-
Specifies a transform that splits a dataset into two, based on a filter condition.
Type: Filter object
Required: No
- GovernedCatalogSource
-
Specifies a data source in a goverened Data Catalog.
Type: GovernedCatalogSource object
Required: No
- GovernedCatalogTarget
-
Specifies a data target that writes to a goverened catalog.
Type: GovernedCatalogTarget object
Required: No
- JDBCConnectorSource
-
Specifies a connector to a JDBC data source.
Type: JDBCConnectorSource object
Required: No
- JDBCConnectorTarget
-
Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.
Type: JDBCConnectorTarget object
Required: No
- Join
-
Specifies a transform that joins two datasets into one dataset using a comparison phrase on the specified data property keys. You can use inner, outer, left, right, left semi, and left anti joins.
Type: Join object
Required: No
- Merge
-
Specifies a transform that merges a
DynamicFramewith a stagingDynamicFramebased on the specified primary keys to identify records. Duplicate records (records with the same primary keys) are not de-duplicated.Type: Merge object
Required: No
- MicrosoftSQLServerCatalogSource
-
Specifies a Microsoft SQL server data source in the AWS Glue Data Catalog.
Type: MicrosoftSQLServerCatalogSource object
Required: No
- MicrosoftSQLServerCatalogTarget
-
Specifies a target that uses Microsoft SQL.
Type: MicrosoftSQLServerCatalogTarget object
Required: No
- MySQLCatalogSource
-
Specifies a MySQL data source in the AWS Glue Data Catalog.
Type: MySQLCatalogSource object
Required: No
- MySQLCatalogTarget
-
Specifies a target that uses MySQL.
Type: MySQLCatalogTarget object
Required: No
- OracleSQLCatalogSource
-
Specifies an Oracle data source in the AWS Glue Data Catalog.
Type: OracleSQLCatalogSource object
Required: No
- OracleSQLCatalogTarget
-
Specifies a target that uses Oracle SQL.
Type: OracleSQLCatalogTarget object
Required: No
- PIIDetection
-
Specifies a transform that identifies, removes or masks PII data.
Type: PIIDetection object
Required: No
- PostgreSQLCatalogSource
-
Specifies a PostgresSQL data source in the AWS Glue Data Catalog.
Type: PostgreSQLCatalogSource object
Required: No
- PostgreSQLCatalogTarget
-
Specifies a target that uses Postgres SQL.
Type: PostgreSQLCatalogTarget object
Required: No
- Recipe
-
Specifies a AWS Glue DataBrew recipe node.
Type: Recipe object
Required: No
- RedshiftSource
-
Specifies an Amazon Redshift data store.
Type: RedshiftSource object
Required: No
- RedshiftTarget
-
Specifies a target that uses Amazon Redshift.
Type: RedshiftTarget object
Required: No
- RelationalCatalogSource
-
Specifies a relational catalog data store in the AWS Glue Data Catalog.
Type: RelationalCatalogSource object
Required: No
- RenameField
-
Specifies a transform that renames a single data property key.
Type: RenameField object
Required: No
- S3CatalogDeltaSource
-
Specifies a Delta Lake data source that is registered in the AWS Glue Data Catalog. The data source must be stored in Amazon S3.
Type: S3CatalogDeltaSource object
Required: No
- S3CatalogHudiSource
-
Specifies a Hudi data source that is registered in the AWS Glue Data Catalog. The data source must be stored in Amazon S3.
Type: S3CatalogHudiSource object
Required: No
- S3CatalogSource
-
Specifies an Amazon S3 data store in the AWS Glue Data Catalog.
Type: S3CatalogSource object
Required: No
- S3CatalogTarget
-
Specifies a data target that writes to Amazon S3 using the AWS Glue Data Catalog.
Type: S3CatalogTarget object
Required: No
- S3CsvSource
-
Specifies a command-separated value (CSV) data store stored in Amazon S3.
Type: S3CsvSource object
Required: No
- S3DeltaCatalogTarget
-
Specifies a target that writes to a Delta Lake data source in the AWS Glue Data Catalog.
Type: S3DeltaCatalogTarget object
Required: No
- S3DeltaDirectTarget
-
Specifies a target that writes to a Delta Lake data source in Amazon S3.
Type: S3DeltaDirectTarget object
Required: No
- S3DeltaSource
-
Specifies a Delta Lake data source stored in Amazon S3.
Type: S3DeltaSource object
Required: No
- S3DirectTarget
-
Specifies a data target that writes to Amazon S3.
Type: S3DirectTarget object
Required: No
- S3GlueParquetTarget
-
Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.
Type: S3GlueParquetTarget object
Required: No
- S3HudiCatalogTarget
-
Specifies a target that writes to a Hudi data source in the AWS Glue Data Catalog.
Type: S3HudiCatalogTarget object
Required: No
- S3HudiDirectTarget
-
Specifies a target that writes to a Hudi data source in Amazon S3.
Type: S3HudiDirectTarget object
Required: No
- S3HudiSource
-
Specifies a Hudi data source stored in Amazon S3.
Type: S3HudiSource object
Required: No
- S3JsonSource
-
Specifies a JSON data store stored in Amazon S3.
Type: S3JsonSource object
Required: No
- S3ParquetSource
-
Specifies an Apache Parquet data store stored in Amazon S3.
Type: S3ParquetSource object
Required: No
- SelectFields
-
Specifies a transform that chooses the data property keys that you want to keep.
Type: SelectFields object
Required: No
- SelectFromCollection
-
Specifies a transform that chooses one
DynamicFramefrom a collection ofDynamicFrames. The output is the selectedDynamicFrameType: SelectFromCollection object
Required: No
- SnowflakeSource
-
Specifies a Snowflake data source.
Type: SnowflakeSource object
Required: No
- SnowflakeTarget
-
Specifies a target that writes to a Snowflake data source.
Type: SnowflakeTarget object
Required: No
- SparkConnectorSource
-
Specifies a connector to an Apache Spark data source.
Type: SparkConnectorSource object
Required: No
- SparkConnectorTarget
-
Specifies a target that uses an Apache Spark connector.
Type: SparkConnectorTarget object
Required: No
- SparkSQL
-
Specifies a transform where you enter a SQL query using Spark SQL syntax to transform the data. The output is a single
DynamicFrame.Type: SparkSQL object
Required: No
- Spigot
-
Specifies a transform that writes samples of the data to an Amazon S3 bucket.
Type: Spigot object
Required: No
- SplitFields
-
Specifies a transform that splits data property keys into two
DynamicFrames. The output is a collection ofDynamicFrames: one with selected data property keys, and one with the remaining data property keys.Type: SplitFields object
Required: No
- Union
-
Specifies a transform that combines the rows from two or more datasets into a single result.
Type: Union object
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
