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CodeGenConfigurationNode

Source code in docs_src/capo_glue/types/code_gen_configuration_node.py
class CodeGenConfigurationNode(TypedDict, closed=True):
    athena_connector_source: NotRequired[
        "capo_glue.types.athena_connector_source.AthenaConnectorSource"
    ]
    """<p>Specifies a connector to an Amazon Athena data source.</p>"""
    jdbc_connector_source: NotRequired[
        "capo_glue.types.jdbc_connector_source.JDBCConnectorSource"
    ]
    """<p>Specifies a connector to a JDBC data source.</p>"""
    spark_connector_source: NotRequired[
        "capo_glue.types.spark_connector_source.SparkConnectorSource"
    ]
    """<p>Specifies a connector to an Apache Spark data source.</p>"""
    catalog_source: NotRequired["capo_glue.types.catalog_source.CatalogSource"]
    """<p>Specifies a data store in the Glue Data Catalog.</p>"""
    redshift_source: NotRequired["capo_glue.types.redshift_source.RedshiftSource"]
    """<p>Specifies an Amazon Redshift data store.</p>"""
    s3_catalog_source: NotRequired["capo_glue.types.s3_catalog_source.S3CatalogSource"]
    """<p>Specifies an Amazon S3 data store in the Glue Data Catalog.</p>"""
    s3_csv_source: NotRequired["capo_glue.types.s3_csv_source.S3CsvSource"]
    """<p>Specifies a command-separated value (CSV) data store stored in Amazon S3.</p>"""
    s3_json_source: NotRequired["capo_glue.types.s3_json_source.S3JsonSource"]
    """<p>Specifies a JSON data store stored in Amazon S3.</p>"""
    s3_parquet_source: NotRequired["capo_glue.types.s3_parquet_source.S3ParquetSource"]
    """<p>Specifies an Apache Parquet data store stored in Amazon S3.</p>"""
    relational_catalog_source: NotRequired[
        "capo_glue.types.relational_catalog_source.RelationalCatalogSource"
    ]
    """<p>Specifies a relational catalog data store in the Glue Data Catalog.</p>"""
    dynamo_db_catalog_source: NotRequired[
        "capo_glue.types.dynamo_db_catalog_source.DynamoDBCatalogSource"
    ]
    """<p>Specifies a DynamoDBC Catalog data store in the Glue Data Catalog.</p>"""
    jdbc_connector_target: NotRequired[
        "capo_glue.types.jdbc_connector_target.JDBCConnectorTarget"
    ]
    """<p>Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.</p>"""
    spark_connector_target: NotRequired[
        "capo_glue.types.spark_connector_target.SparkConnectorTarget"
    ]
    """<p>Specifies a target that uses an Apache Spark connector.</p>"""
    catalog_target: NotRequired[
        "capo_glue.types.basic_catalog_target.BasicCatalogTarget"
    ]
    """<p>Specifies a target that uses a Glue Data Catalog table.</p>"""
    redshift_target: NotRequired["capo_glue.types.redshift_target.RedshiftTarget"]
    """<p>Specifies a target that uses Amazon Redshift.</p>"""
    s3_catalog_target: NotRequired["capo_glue.types.s3_catalog_target.S3CatalogTarget"]
    """<p>Specifies a data target that writes to Amazon S3 using the Glue Data Catalog.</p>"""
    s3_glue_parquet_target: NotRequired[
        "capo_glue.types.s3_glue_parquet_target.S3GlueParquetTarget"
    ]
    """<p>Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.</p>"""
    s3_direct_target: NotRequired["capo_glue.types.s3_direct_target.S3DirectTarget"]
    """<p>Specifies a data target that writes to Amazon S3.</p>"""
    apply_mapping: NotRequired["capo_glue.types.apply_mapping.ApplyMapping"]
    """<p>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.</p>"""
    select_fields: NotRequired["capo_glue.types.select_fields.SelectFields"]
    """<p>Specifies a transform that chooses the data property keys that you want to keep.</p>"""
    drop_fields: NotRequired["capo_glue.types.drop_fields.DropFields"]
    """<p>Specifies a transform that chooses the data property keys that you want to drop.</p>"""
    rename_field: NotRequired["capo_glue.types.rename_field.RenameField"]
    """<p>Specifies a transform that renames a single data property key.</p>"""
    spigot: NotRequired["capo_glue.types.spigot.Spigot"]
    """<p>Specifies a transform that writes samples of the data to an Amazon S3 bucket.</p>"""
    join: NotRequired["capo_glue.types.join.Join"]
    """<p>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.</p>"""
    split_fields: NotRequired["capo_glue.types.split_fields.SplitFields"]
    """<p>Specifies a transform that splits data property keys into two <code>DynamicFrames</code>. The output is a collection of <code>DynamicFrames</code>: one with selected data property keys, and one with the remaining data property keys.</p>"""
    select_from_collection: NotRequired[
        "capo_glue.types.select_from_collection.SelectFromCollection"
    ]
    """<p>Specifies a transform that chooses one <code>DynamicFrame</code> from a collection of <code>DynamicFrames</code>. The output is the selected <code>DynamicFrame</code> </p>"""
    fill_missing_values: NotRequired[
        "capo_glue.types.fill_missing_values.FillMissingValues"
    ]
    """<p>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.</p>"""
    filter: NotRequired["capo_glue.types.filter.Filter"]
    """<p>Specifies a transform that splits a dataset into two, based on a filter condition.</p>"""
    custom_code: NotRequired["capo_glue.types.custom_code.CustomCode"]
    """<p>Specifies a transform that uses custom code you provide to perform the data transformation. The output is a collection of DynamicFrames.</p>"""
    spark_sql: NotRequired["capo_glue.types.spark_sql.SparkSQL"]
    """<p>Specifies a transform where you enter a SQL query using Spark SQL syntax to transform the data. The output is a single <code>DynamicFrame</code>.</p>"""
    direct_kinesis_source: NotRequired[
        "capo_glue.types.direct_kinesis_source.DirectKinesisSource"
    ]
    """<p>Specifies a direct Amazon Kinesis data source.</p>"""
    direct_kafka_source: NotRequired[
        "capo_glue.types.direct_kafka_source.DirectKafkaSource"
    ]
    """<p>Specifies an Apache Kafka data store.</p>"""
    catalog_kinesis_source: NotRequired[
        "capo_glue.types.catalog_kinesis_source.CatalogKinesisSource"
    ]
    """<p>Specifies a Kinesis data source in the Glue Data Catalog.</p>"""
    catalog_kafka_source: NotRequired[
        "capo_glue.types.catalog_kafka_source.CatalogKafkaSource"
    ]
    """<p>Specifies an Apache Kafka data store in the Data Catalog.</p>"""
    drop_null_fields: NotRequired["capo_glue.types.drop_null_fields.DropNullFields"]
    """<p>Specifies a transform that removes columns from the dataset if all values in the column are 'null'. By default, 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.</p>"""
    merge: NotRequired["capo_glue.types.merge.Merge"]
    """<p>Specifies a transform that merges a <code>DynamicFrame</code> with a staging <code>DynamicFrame</code> based on the specified primary keys to identify records. Duplicate records (records with the same primary keys) are not de-duplicated. </p>"""
    union: NotRequired["capo_glue.types.union.Union"]
    """<p>Specifies a transform that combines the rows from two or more datasets into a single result.</p>"""
    pii_detection: NotRequired["capo_glue.types.pii_detection.PIIDetection"]
    """<p>Specifies a transform that identifies, removes or masks PII data.</p>"""
    aggregate: NotRequired["capo_glue.types.aggregate.Aggregate"]
    """<p>Specifies a transform that groups rows by chosen fields and computes the aggregated value by specified function.</p>"""
    drop_duplicates: NotRequired["capo_glue.types.drop_duplicates.DropDuplicates"]
    """<p>Specifies a transform that removes rows of repeating data from a data set.</p>"""
    governed_catalog_target: NotRequired[
        "capo_glue.types.governed_catalog_target.GovernedCatalogTarget"
    ]
    """<p>Specifies a data target that writes to a goverened catalog.</p>"""
    governed_catalog_source: NotRequired[
        "capo_glue.types.governed_catalog_source.GovernedCatalogSource"
    ]
    """<p>Specifies a data source in a goverened Data Catalog.</p>"""
    microsoft_sql_server_catalog_source: NotRequired[
        "capo_glue.types.microsoft_sql_server_catalog_source.MicrosoftSQLServerCatalogSource"
    ]
    """<p>Specifies a Microsoft SQL server data source in the Glue Data Catalog.</p>"""
    my_sql_catalog_source: NotRequired[
        "capo_glue.types.my_sql_catalog_source.MySQLCatalogSource"
    ]
    """<p>Specifies a MySQL data source in the Glue Data Catalog.</p>"""
    oracle_sql_catalog_source: NotRequired[
        "capo_glue.types.oracle_sql_catalog_source.OracleSQLCatalogSource"
    ]
    """<p>Specifies an Oracle data source in the Glue Data Catalog.</p>"""
    postgre_sql_catalog_source: NotRequired[
        "capo_glue.types.postgre_sql_catalog_source.PostgreSQLCatalogSource"
    ]
    """<p>Specifies a PostgresSQL data source in the Glue Data Catalog.</p>"""
    microsoft_sql_server_catalog_target: NotRequired[
        "capo_glue.types.microsoft_sql_server_catalog_target.MicrosoftSQLServerCatalogTarget"
    ]
    """<p>Specifies a target that uses Microsoft SQL.</p>"""
    my_sql_catalog_target: NotRequired[
        "capo_glue.types.my_sql_catalog_target.MySQLCatalogTarget"
    ]
    """<p>Specifies a target that uses MySQL.</p>"""
    oracle_sql_catalog_target: NotRequired[
        "capo_glue.types.oracle_sql_catalog_target.OracleSQLCatalogTarget"
    ]
    """<p>Specifies a target that uses Oracle SQL.</p>"""
    postgre_sql_catalog_target: NotRequired[
        "capo_glue.types.postgre_sql_catalog_target.PostgreSQLCatalogTarget"
    ]
    """<p>Specifies a target that uses Postgres SQL.</p>"""
    route: NotRequired["capo_glue.types.route.Route"]
    """<p>Specifies a route node that directs data to different output paths based on defined filtering conditions.</p>"""
    dynamic_transform: NotRequired["capo_glue.types.dynamic_transform.DynamicTransform"]
    """<p>Specifies a custom visual transform created by a user.</p>"""
    evaluate_data_quality: NotRequired[
        "capo_glue.types.evaluate_data_quality.EvaluateDataQuality"
    ]
    """<p>Specifies your data quality evaluation criteria.</p>"""
    s3_catalog_hudi_source: NotRequired[
        "capo_glue.types.s3_catalog_hudi_source.S3CatalogHudiSource"
    ]
    """<p>Specifies a Hudi data source that is registered in the Glue Data Catalog. The data source must be stored in Amazon S3.</p>"""
    catalog_hudi_source: NotRequired[
        "capo_glue.types.catalog_hudi_source.CatalogHudiSource"
    ]
    """<p>Specifies a Hudi data source that is registered in the Glue Data Catalog.</p>"""
    s3_hudi_source: NotRequired["capo_glue.types.s3_hudi_source.S3HudiSource"]
    """<p>Specifies a Hudi data source stored in Amazon S3.</p>"""
    s3_hudi_catalog_target: NotRequired[
        "capo_glue.types.s3_hudi_catalog_target.S3HudiCatalogTarget"
    ]
    """<p>Specifies a target that writes to a Hudi data source in the Glue Data Catalog.</p>"""
    s3_hudi_direct_target: NotRequired[
        "capo_glue.types.s3_hudi_direct_target.S3HudiDirectTarget"
    ]
    """<p>Specifies a target that writes to a Hudi data source in Amazon S3.</p>"""
    direct_jdbc_source: NotRequired[
        "capo_glue.types.direct_jdbc_source.DirectJDBCSource"
    ]
    s3_catalog_delta_source: NotRequired[
        "capo_glue.types.s3_catalog_delta_source.S3CatalogDeltaSource"
    ]
    """<p>Specifies a Delta Lake data source that is registered in the Glue Data Catalog. The data source must be stored in Amazon S3.</p>"""
    catalog_delta_source: NotRequired[
        "capo_glue.types.catalog_delta_source.CatalogDeltaSource"
    ]
    """<p>Specifies a Delta Lake data source that is registered in the Glue Data Catalog.</p>"""
    s3_delta_source: NotRequired["capo_glue.types.s3_delta_source.S3DeltaSource"]
    """<p>Specifies a Delta Lake data source stored in Amazon S3.</p>"""
    s3_delta_catalog_target: NotRequired[
        "capo_glue.types.s3_delta_catalog_target.S3DeltaCatalogTarget"
    ]
    """<p>Specifies a target that writes to a Delta Lake data source in the Glue Data Catalog.</p>"""
    s3_delta_direct_target: NotRequired[
        "capo_glue.types.s3_delta_direct_target.S3DeltaDirectTarget"
    ]
    """<p>Specifies a target that writes to a Delta Lake data source in Amazon S3.</p>"""
    amazon_redshift_source: NotRequired[
        "capo_glue.types.amazon_redshift_source.AmazonRedshiftSource"
    ]
    """<p>Specifies a target that writes to a data source in Amazon Redshift.</p>"""
    amazon_redshift_target: NotRequired[
        "capo_glue.types.amazon_redshift_target.AmazonRedshiftTarget"
    ]
    """<p>Specifies a target that writes to a data target in Amazon Redshift.</p>"""
    evaluate_data_quality_multi_frame: NotRequired[
        "capo_glue.types.evaluate_data_quality_multi_frame.EvaluateDataQualityMultiFrame"
    ]
    """<p>Specifies your data quality evaluation criteria. Allows multiple input data and returns a collection of Dynamic Frames.</p>"""
    recipe: NotRequired["capo_glue.types.recipe.Recipe"]
    """<p>Specifies a Glue DataBrew recipe node.</p>"""
    snowflake_source: NotRequired["capo_glue.types.snowflake_source.SnowflakeSource"]
    """<p>Specifies a Snowflake data source.</p>"""
    snowflake_target: NotRequired["capo_glue.types.snowflake_target.SnowflakeTarget"]
    """<p>Specifies a target that writes to a Snowflake data source.</p>"""
    connector_data_source: NotRequired[
        "capo_glue.types.connector_data_source.ConnectorDataSource"
    ]
    """<p>Specifies a source generated with standard connection options.</p>"""
    connector_data_target: NotRequired[
        "capo_glue.types.connector_data_target.ConnectorDataTarget"
    ]
    """<p>Specifies a target generated with standard connection options.</p>"""
    s3_catalog_iceberg_source: NotRequired[
        "capo_glue.types.s3_catalog_iceberg_source.S3CatalogIcebergSource"
    ]
    """<p>Specifies an Apache Iceberg data source that is registered in the Glue Data Catalog. The Iceberg data source must be stored in Amazon S3.</p>"""
    catalog_iceberg_source: NotRequired[
        "capo_glue.types.catalog_iceberg_source.CatalogIcebergSource"
    ]
    """<p>Specifies an Apache Iceberg data source that is registered in the Glue Data Catalog.</p>"""
    s3_iceberg_catalog_target: NotRequired[
        "capo_glue.types.s3_iceberg_catalog_target.S3IcebergCatalogTarget"
    ]
    """<p>Specifies an Apache Iceberg catalog target that writes data to Amazon S3 and registers the table in the Glue Data Catalog.</p>"""
    s3_iceberg_direct_target: NotRequired[
        "capo_glue.types.s3_iceberg_direct_target.S3IcebergDirectTarget"
    ]
    """<p>Defines configuration parameters for writing data to Amazon S3 as an Apache Iceberg table.</p>"""
    s3_excel_source: NotRequired["capo_glue.types.s3_excel_source.S3ExcelSource"]
    """<p>Defines configuration parameters for reading Excel files from Amazon S3.</p>"""
    s3_hyper_direct_target: NotRequired[
        "capo_glue.types.s3_hyper_direct_target.S3HyperDirectTarget"
    ]
    """<p>Defines configuration parameters for writing data to Amazon S3 using HyperDirect optimization.</p>"""
    dynamo_dbelt_connector_source: NotRequired[
        "capo_glue.types.dynamo_dbelt_connector_source.DynamoDBELTConnectorSource"
    ]
    """<p>Specifies a DynamoDB ELT connector source for extracting data from DynamoDB tables.</p>"""

aggregate instance-attribute

aggregate: NotRequired[Aggregate]

Specifies a transform that groups rows by chosen fields and computes the aggregated value by specified function.

amazon_redshift_source instance-attribute

amazon_redshift_source: NotRequired[AmazonRedshiftSource]

Specifies a target that writes to a data source in Amazon Redshift.

amazon_redshift_target instance-attribute

amazon_redshift_target: NotRequired[AmazonRedshiftTarget]

Specifies a target that writes to a data target in Amazon Redshift.

apply_mapping instance-attribute

apply_mapping: NotRequired[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.

athena_connector_source instance-attribute

athena_connector_source: NotRequired[AthenaConnectorSource]

Specifies a connector to an Amazon Athena data source.

catalog_delta_source instance-attribute

catalog_delta_source: NotRequired[CatalogDeltaSource]

Specifies a Delta Lake data source that is registered in the Glue Data Catalog.

catalog_hudi_source instance-attribute

catalog_hudi_source: NotRequired[CatalogHudiSource]

Specifies a Hudi data source that is registered in the Glue Data Catalog.

catalog_iceberg_source instance-attribute

catalog_iceberg_source: NotRequired[CatalogIcebergSource]

Specifies an Apache Iceberg data source that is registered in the Glue Data Catalog.

catalog_kafka_source instance-attribute

catalog_kafka_source: NotRequired[CatalogKafkaSource]

Specifies an Apache Kafka data store in the Data Catalog.

catalog_kinesis_source instance-attribute

catalog_kinesis_source: NotRequired[CatalogKinesisSource]

Specifies a Kinesis data source in the Glue Data Catalog.

catalog_source instance-attribute

catalog_source: NotRequired[CatalogSource]

Specifies a data store in the Glue Data Catalog.

catalog_target instance-attribute

catalog_target: NotRequired[BasicCatalogTarget]

Specifies a target that uses a Glue Data Catalog table.

connector_data_source instance-attribute

connector_data_source: NotRequired[ConnectorDataSource]

Specifies a source generated with standard connection options.

connector_data_target instance-attribute

connector_data_target: NotRequired[ConnectorDataTarget]

Specifies a target generated with standard connection options.

custom_code instance-attribute

custom_code: NotRequired[CustomCode]

Specifies a transform that uses custom code you provide to perform the data transformation. The output is a collection of DynamicFrames.

direct_jdbc_source instance-attribute

direct_jdbc_source: NotRequired[DirectJDBCSource]

direct_kafka_source instance-attribute

direct_kafka_source: NotRequired[DirectKafkaSource]

Specifies an Apache Kafka data store.

direct_kinesis_source instance-attribute

direct_kinesis_source: NotRequired[DirectKinesisSource]

Specifies a direct Amazon Kinesis data source.

drop_duplicates instance-attribute

drop_duplicates: NotRequired[DropDuplicates]

Specifies a transform that removes rows of repeating data from a data set.

drop_fields instance-attribute

drop_fields: NotRequired[DropFields]

Specifies a transform that chooses the data property keys that you want to drop.

drop_null_fields instance-attribute

drop_null_fields: NotRequired[DropNullFields]

Specifies a transform that removes columns from the dataset if all values in the column are 'null'. By default, 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.

dynamic_transform instance-attribute

dynamic_transform: NotRequired[DynamicTransform]

Specifies a custom visual transform created by a user.

dynamo_db_catalog_source instance-attribute

dynamo_db_catalog_source: NotRequired[DynamoDBCatalogSource]

Specifies a DynamoDBC Catalog data store in the Glue Data Catalog.

dynamo_dbelt_connector_source instance-attribute

dynamo_dbelt_connector_source: NotRequired[DynamoDBELTConnectorSource]

Specifies a DynamoDB ELT connector source for extracting data from DynamoDB tables.

evaluate_data_quality instance-attribute

evaluate_data_quality: NotRequired[EvaluateDataQuality]

Specifies your data quality evaluation criteria.

evaluate_data_quality_multi_frame instance-attribute

evaluate_data_quality_multi_frame: NotRequired[EvaluateDataQualityMultiFrame]

Specifies your data quality evaluation criteria. Allows multiple input data and returns a collection of Dynamic Frames.

fill_missing_values instance-attribute

fill_missing_values: NotRequired[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.

filter instance-attribute

filter: NotRequired[Filter]

Specifies a transform that splits a dataset into two, based on a filter condition.

governed_catalog_source instance-attribute

governed_catalog_source: NotRequired[GovernedCatalogSource]

Specifies a data source in a goverened Data Catalog.

governed_catalog_target instance-attribute

governed_catalog_target: NotRequired[GovernedCatalogTarget]

Specifies a data target that writes to a goverened catalog.

jdbc_connector_source instance-attribute

jdbc_connector_source: NotRequired[JDBCConnectorSource]

Specifies a connector to a JDBC data source.

jdbc_connector_target instance-attribute

jdbc_connector_target: NotRequired[JDBCConnectorTarget]

Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.

join instance-attribute

join: NotRequired[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.

merge instance-attribute

merge: NotRequired[Merge]

Specifies a transform that merges a DynamicFrame with a staging DynamicFrame based on the specified primary keys to identify records. Duplicate records (records with the same primary keys) are not de-duplicated.

microsoft_sql_server_catalog_source instance-attribute

microsoft_sql_server_catalog_source: NotRequired[MicrosoftSQLServerCatalogSource]

Specifies a Microsoft SQL server data source in the Glue Data Catalog.

microsoft_sql_server_catalog_target instance-attribute

microsoft_sql_server_catalog_target: NotRequired[MicrosoftSQLServerCatalogTarget]

Specifies a target that uses Microsoft SQL.

my_sql_catalog_source instance-attribute

my_sql_catalog_source: NotRequired[MySQLCatalogSource]

Specifies a MySQL data source in the Glue Data Catalog.

my_sql_catalog_target instance-attribute

my_sql_catalog_target: NotRequired[MySQLCatalogTarget]

Specifies a target that uses MySQL.

oracle_sql_catalog_source instance-attribute

oracle_sql_catalog_source: NotRequired[OracleSQLCatalogSource]

Specifies an Oracle data source in the Glue Data Catalog.

oracle_sql_catalog_target instance-attribute

oracle_sql_catalog_target: NotRequired[OracleSQLCatalogTarget]

Specifies a target that uses Oracle SQL.

pii_detection instance-attribute

pii_detection: NotRequired[PIIDetection]

Specifies a transform that identifies, removes or masks PII data.

postgre_sql_catalog_source instance-attribute

postgre_sql_catalog_source: NotRequired[PostgreSQLCatalogSource]

Specifies a PostgresSQL data source in the Glue Data Catalog.

postgre_sql_catalog_target instance-attribute

postgre_sql_catalog_target: NotRequired[PostgreSQLCatalogTarget]

Specifies a target that uses Postgres SQL.

recipe instance-attribute

recipe: NotRequired[Recipe]

Specifies a Glue DataBrew recipe node.

redshift_source instance-attribute

redshift_source: NotRequired[RedshiftSource]

Specifies an Amazon Redshift data store.

redshift_target instance-attribute

redshift_target: NotRequired[RedshiftTarget]

Specifies a target that uses Amazon Redshift.

relational_catalog_source instance-attribute

relational_catalog_source: NotRequired[RelationalCatalogSource]

Specifies a relational catalog data store in the Glue Data Catalog.

rename_field instance-attribute

rename_field: NotRequired[RenameField]

Specifies a transform that renames a single data property key.

route instance-attribute

route: NotRequired[Route]

Specifies a route node that directs data to different output paths based on defined filtering conditions.

s3_catalog_delta_source instance-attribute

s3_catalog_delta_source: NotRequired[S3CatalogDeltaSource]

Specifies a Delta Lake data source that is registered in the Glue Data Catalog. The data source must be stored in Amazon S3.

s3_catalog_hudi_source instance-attribute

s3_catalog_hudi_source: NotRequired[S3CatalogHudiSource]

Specifies a Hudi data source that is registered in the Glue Data Catalog. The data source must be stored in Amazon S3.

s3_catalog_iceberg_source instance-attribute

s3_catalog_iceberg_source: NotRequired[S3CatalogIcebergSource]

Specifies an Apache Iceberg data source that is registered in the Glue Data Catalog. The Iceberg data source must be stored in Amazon S3.

s3_catalog_source instance-attribute

s3_catalog_source: NotRequired[S3CatalogSource]

Specifies an Amazon S3 data store in the Glue Data Catalog.

s3_catalog_target instance-attribute

s3_catalog_target: NotRequired[S3CatalogTarget]

Specifies a data target that writes to Amazon S3 using the Glue Data Catalog.

s3_csv_source instance-attribute

s3_csv_source: NotRequired[S3CsvSource]

Specifies a command-separated value (CSV) data store stored in Amazon S3.

s3_delta_catalog_target instance-attribute

s3_delta_catalog_target: NotRequired[S3DeltaCatalogTarget]

Specifies a target that writes to a Delta Lake data source in the Glue Data Catalog.

s3_delta_direct_target instance-attribute

s3_delta_direct_target: NotRequired[S3DeltaDirectTarget]

Specifies a target that writes to a Delta Lake data source in Amazon S3.

s3_delta_source instance-attribute

s3_delta_source: NotRequired[S3DeltaSource]

Specifies a Delta Lake data source stored in Amazon S3.

s3_direct_target instance-attribute

s3_direct_target: NotRequired[S3DirectTarget]

Specifies a data target that writes to Amazon S3.

s3_excel_source instance-attribute

s3_excel_source: NotRequired[S3ExcelSource]

Defines configuration parameters for reading Excel files from Amazon S3.

s3_glue_parquet_target instance-attribute

s3_glue_parquet_target: NotRequired[S3GlueParquetTarget]

Specifies a data target that writes to Amazon S3 in Apache Parquet columnar storage.

s3_hudi_catalog_target instance-attribute

s3_hudi_catalog_target: NotRequired[S3HudiCatalogTarget]

Specifies a target that writes to a Hudi data source in the Glue Data Catalog.

s3_hudi_direct_target instance-attribute

s3_hudi_direct_target: NotRequired[S3HudiDirectTarget]

Specifies a target that writes to a Hudi data source in Amazon S3.

s3_hudi_source instance-attribute

s3_hudi_source: NotRequired[S3HudiSource]

Specifies a Hudi data source stored in Amazon S3.

s3_hyper_direct_target instance-attribute

s3_hyper_direct_target: NotRequired[S3HyperDirectTarget]

Defines configuration parameters for writing data to Amazon S3 using HyperDirect optimization.

s3_iceberg_catalog_target instance-attribute

s3_iceberg_catalog_target: NotRequired[S3IcebergCatalogTarget]

Specifies an Apache Iceberg catalog target that writes data to Amazon S3 and registers the table in the Glue Data Catalog.

s3_iceberg_direct_target instance-attribute

s3_iceberg_direct_target: NotRequired[S3IcebergDirectTarget]

Defines configuration parameters for writing data to Amazon S3 as an Apache Iceberg table.

s3_json_source instance-attribute

s3_json_source: NotRequired[S3JsonSource]

Specifies a JSON data store stored in Amazon S3.

s3_parquet_source instance-attribute

s3_parquet_source: NotRequired[S3ParquetSource]

Specifies an Apache Parquet data store stored in Amazon S3.

select_fields instance-attribute

select_fields: NotRequired[SelectFields]

Specifies a transform that chooses the data property keys that you want to keep.

select_from_collection instance-attribute

select_from_collection: NotRequired[SelectFromCollection]

Specifies a transform that chooses one DynamicFrame from a collection of DynamicFrames. The output is the selected DynamicFrame

snowflake_source instance-attribute

snowflake_source: NotRequired[SnowflakeSource]

Specifies a Snowflake data source.

snowflake_target instance-attribute

snowflake_target: NotRequired[SnowflakeTarget]

Specifies a target that writes to a Snowflake data source.

spark_connector_source instance-attribute

spark_connector_source: NotRequired[SparkConnectorSource]

Specifies a connector to an Apache Spark data source.

spark_connector_target instance-attribute

spark_connector_target: NotRequired[SparkConnectorTarget]

Specifies a target that uses an Apache Spark connector.

spark_sql instance-attribute

spark_sql: NotRequired[SparkSQL]

Specifies a transform where you enter a SQL query using Spark SQL syntax to transform the data. The output is a single DynamicFrame.

spigot instance-attribute

spigot: NotRequired[Spigot]

Specifies a transform that writes samples of the data to an Amazon S3 bucket.

split_fields instance-attribute

split_fields: NotRequired[SplitFields]

Specifies a transform that splits data property keys into two DynamicFrames. The output is a collection of DynamicFrames: one with selected data property keys, and one with the remaining data property keys.

union instance-attribute

union: NotRequired[Union]

Specifies a transform that combines the rows from two or more datasets into a single result.