aws-cdk.aws-glue 1.36.0

The CDK Construct Library for AWS::Glue

AWS Glue Construct Library

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All classes with the Cfn prefix in this module (CFN Resources) are always stable and safe to use.

The APIs of higher level constructs in this module are experimental and under active development. They are subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model and breaking changes will be announced in the release notes. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.

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This module is part of the AWS Cloud Development Kit project.

Database

A Database is a logical grouping of Tables in the Glue Catalog.

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
glue.Database(stack, "MyDatabase",
    database_name="my_database"
)

Table

A Glue table describes a table of data in S3: its structure (column names and types), location of data (S3 objects with a common prefix in a S3 bucket), and format for the files (Json, Avro, Parquet, etc.):

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
glue.Table(stack, "MyTable",
    database=my_database,
    table_name="my_table",
    columns=[{
        "name": "col1",
        "type": glue.Schema.string
    }, {
        "name": "col2",
        "type": glue.Schema.array(Schema.string),
        "comment": "col2 is an array of strings"
    }],
    data_format=glue.DataFormat.JSON
)

By default, a S3 bucket will be created to store the table's data but you can manually pass the bucket and s3Prefix:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
glue.Table(stack, "MyTable",
    bucket=my_bucket,
    s3_prefix="my-table/", ...
)

Partitions

To improve query performance, a table can specify partitionKeys on which data is stored and queried separately. For example, you might partition a table by year and month to optimize queries based on a time window:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
glue.Table(stack, "MyTable",
    database=my_database,
    table_name="my_table",
    columns=[{
        "name": "col1",
        "type": glue.Schema.string
    }],
    partition_keys=[{
        "name": "year",
        "type": glue.Schema.smallint
    }, {
        "name": "month",
        "type": glue.Schema.smallint
    }],
    data_format=glue.DataFormat.JSON
)

Encryption

You can enable encryption on a Table's data:

• Unencrypted - files are not encrypted. The default encryption setting.
• S3Managed - Server side encryption (SSE-S3) with an Amazon S3-managed key.

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
glue.Table(stack, "MyTable",
    encryption=glue.TableEncryption.S3Managed, ...
)

• Kms - Server-side encryption (SSE-KMS) with an AWS KMS Key managed by the account owner.

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
# KMS key is created automatically
glue.Table(stack, "MyTable",
    encryption=glue.TableEncryption.Kms, ...
)

# with an explicit KMS key
glue.Table(stack, "MyTable",
    encryption=glue.TableEncryption.Kms,
    encryption_key=kms.Key(stack, "MyKey"), ...
)

• KmsManaged - Server-side encryption (SSE-KMS), like Kms, except with an AWS KMS Key managed by the AWS Key Management Service.

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
glue.Table(stack, "MyTable",
    encryption=glue.TableEncryption.KmsManaged, ...
)

• ClientSideKms - Client-side encryption (CSE-KMS) with an AWS KMS Key managed by the account owner.

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
# KMS key is created automatically
glue.Table(stack, "MyTable",
    encryption=glue.TableEncryption.ClientSideKms, ...
)

# with an explicit KMS key
glue.Table(stack, "MyTable",
    encryption=glue.TableEncryption.ClientSideKms,
    encryption_key=kms.Key(stack, "MyKey"), ...
)

Note: you cannot provide a Bucket when creating the Table if you wish to use server-side encryption (Kms, KmsManaged or S3Managed).

Types

A table's schema is a collection of columns, each of which have a name and a type. Types are recursive structures, consisting of primitive and complex types:

# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
glue.Table(stack, "MyTable",
    columns=[{
        "name": "primitive_column",
        "type": glue.Schema.string
    }, {
        "name": "array_column",
        "type": glue.Schema.array(glue.Schema.integer),
        "comment": "array<integer>"
    }, {
        "name": "map_column",
        "type": glue.Schema.map(glue.Schema.string, glue.Schema.timestamp),
        "comment": "map<string,string>"
    }, {
        "name": "struct_column",
        "type": glue.Schema.struct([
            name="nested_column",
            type=glue.Schema.date,
            comment="nested comment"
        ]),
        "comment": "struct<nested_column:date COMMENT 'nested comment'>"
    }], ...
)

Primitive

Numeric:

• bigint
• float
• integer
• smallint
• tinyint

Date and Time:

• date
• timestamp

String Types:

• string
• decimal
• char
• varchar

Misc:

• boolean
• binary

Complex

• array - array of some other type
• map - map of some primitive key type to any value type.
• struct - nested structure containing individually named and typed columns.