aws-cdk.aws-glue 1.9.0

The CDK Construct Library for AWS::Glue

AWS Glue Construct Library

---

This is a developer preview (public beta) module. Releases might lack important features and might have future breaking changes.

This API is still under active development and subject to non-backward compatible changes or removal in any future version. Use of the API is not recommended in production environments. Experimental APIs are not subject to the Semantic Versioning model.

---

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

Database

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

new glue.Database(stack, 'MyDatabase', {
  databaseName: 'my_database'
});

By default, a S3 bucket is created and the Database is stored under s3://<bucket-name>/, but you can manually specify another location:

new glue.Database(stack, 'MyDatabase', {
  databaseName: 'my_database',
  locationUri: 's3://explicit-bucket/some-path/'
});

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.):

new glue.Table(stack, 'MyTable', {
  database: myDatabase,
  tableName: 'my_table',
  columns: [{
    name: 'col1',
    type: glue.Schema.string,
  }, {
    name: 'col2',
    type: glue.Schema.array(Schema.string),
    comment: 'col2 is an array of strings' // comment is optional
  }]
  dataFormat: 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:

new glue.Table(stack, 'MyTable', {
  bucket: myBucket,
  s3Prefix: '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:

new glue.Table(stack, 'MyTable', {
  database: myDatabase,
  tableName: 'my_table',
  columns: [{
    name: 'col1',
    type: glue.Schema.string
  }],
  partitionKeys: [{
    name: 'year',
    type: glue.Schema.smallint
  }, {
    name: 'month',
    type: glue.Schema.smallint
  }],
  dataFormat: 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.

new glue.Table(stack, 'MyTable', {
  encryption: glue.TableEncryption.S3Managed
  ...
});

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

// KMS key is created automatically
new glue.Table(stack, 'MyTable', {
  encryption: glue.TableEncryption.Kms
  ...
});

// with an explicit KMS key
new glue.Table(stack, 'MyTable', {
  encryption: glue.TableEncryption.Kms,
  encryptionKey: new 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.

new glue.Table(stack, 'MyTable', {
  encryption: glue.TableEncryption.KmsManaged
  ...
});

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

// KMS key is created automatically
new glue.Table(stack, 'MyTable', {
  encryption: glue.TableEncryption.ClientSideKms
  ...
});

// with an explicit KMS key
new glue.Table(stack, 'MyTable', {
  encryption: glue.TableEncryption.ClientSideKms,
  encryptionKey: new 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:

new 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.