JSPM – @aws-cdk/aws-glue@1.59.0

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@aws-cdk/aws-glue

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Readme

AWS Glue Construct Library

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 This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.

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'
});

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/'
  ...
});

By default, an S3 bucket will be created to store the table's data and stored in the bucket root. You can also manually pass the bucket and s3Prefix:

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.SMALL_INT
  }, {
    name: 'month',
    type: glue.Schema.SMALL_INT
  }],
  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.S3_MANAGED
  ...
});

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.KMS_MANAGED
  ...
});

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.CLIENT_SIDE_KMS
  ...
});

// with an explicit KMS key
new glue.Table(stack, 'MyTable', {
  encryption: glue.TableEncryption.CLIENT_SIDE_KMS,
  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, KMS_MANAGED or S3_MANAGED).

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'>"
  }],
  ...

Primitives

Numeric

Date and time

String

| Name | Type | Comments | |-------------------------------------------- |---------- |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | STRING | Constant | A string literal enclosed in single or double quotes | | decimal(precision: number, scale?: number) | Function | precision is the total number of digits. scale (optional) is the number of digits in fractional part with a default of 0. For example, use these type definitions: decimal(11,5), decimal(15) | | char(length: number) | Function | Fixed length character data, with a specified length between 1 and 255, such as char(10) | | varchar(length: number) | Function | Variable length character data, with a specified length between 1 and 65535, such as varchar(10) |

Miscellaneous

Complex