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The CDK Construct Library for AWS::Glue

Project description

AWS Glue Construct Library


Stability: Experimental

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.

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