To help you get started, we've collected the most common ways that @aws-cdk/aws-glue is being used within popular public projects.

punchcard / punchcard / packages / @punchcard / data-lake / lib / data-lake.ts View on Github

    this.database = scope.map(scope => new Database(scope, 'Database', {
      databaseName: props.lakeName
    }));
    this.pipelines = {} as any;

View more ways to use @aws-cdk/aws-glue

AWS Glue Construct Library

> AWS CDK v1 has reached End-of-Support on 2023-06-01. > This package is no longer being updated, and users should migrate to AWS CDK v2. > > For more information on how to migrate, see the [Migrating to AWS CDK v2 guide][doc]. > > [doc]: https://docs.aws.amazon.com/cdk/v2/guide/migrating-v2.html

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

Job

A Job encapsulates a script that connects to data sources, processes them, and then writes output to a data target.

There are 3 types of jobs supported by AWS Glue: Spark ETL, Spark Streaming, and Python Shell jobs.

The glue.JobExecutable allows you to specify the type of job, the language to use and the code assets required by the job.

glue.Code allows you to refer to the different code assets required by the job, either from an existing S3 location or from a local file path.

Spark Jobs

These jobs run in an Apache Spark environment managed by AWS Glue.

ETL Jobs

An ETL job processes data in batches using Apache Spark.

declare const bucket: s3.Bucket;
new glue.Job(this, 'ScalaSparkEtlJob', {
  executable: glue.JobExecutable.scalaEtl({
    glueVersion: glue.GlueVersion.V2_0,
    script: glue.Code.fromBucket(bucket, 'src/com/example/HelloWorld.scala'),
    className: 'com.example.HelloWorld',
    extraJars: [glue.Code.fromBucket(bucket, 'jars/HelloWorld.jar')],
  }),
  description: 'an example Scala ETL job',
});

Streaming Jobs

A Streaming job is similar to an ETL job, except that it performs ETL on data streams. It uses the Apache Spark Structured Streaming framework. Some Spark job features are not available to streaming ETL jobs.

new glue.Job(this, 'PythonSparkStreamingJob', {
  executable: glue.JobExecutable.pythonStreaming({
    glueVersion: glue.GlueVersion.V2_0,
    pythonVersion: glue.PythonVersion.THREE,
    script: glue.Code.fromAsset(path.join(__dirname, 'job-script/hello_world.py')),
  }),
  description: 'an example Python Streaming job',
});

Python Shell Jobs

A Python shell job runs Python scripts as a shell and supports a Python version that depends on the AWS Glue version you are using. This can be used to schedule and run tasks that don't require an Apache Spark environment.

declare const bucket: s3.Bucket;
new glue.Job(this, 'PythonShellJob', {
  executable: glue.JobExecutable.pythonShell({
    glueVersion: glue.GlueVersion.V1_0,
    pythonVersion: glue.PythonVersion.THREE,
    script: glue.Code.fromBucket(bucket, 'script.py'),
  }),
  description: 'an example Python Shell job',
});

See documentation for more information on adding jobs in Glue.

Connection

A Connection allows Glue jobs, crawlers and development endpoints to access certain types of data stores. For example, to create a network connection to connect to a data source within a VPC:

declare const securityGroup: ec2.SecurityGroup;
declare const subnet: ec2.Subnet;
new glue.Connection(this, 'MyConnection', {
  type: glue.ConnectionType.NETWORK,
  // The security groups granting AWS Glue inbound access to the data source within the VPC
  securityGroups: [securityGroup],
  // The VPC subnet which contains the data source
  subnet,
});

If you need to use a connection type that doesn't exist as a static member on ConnectionType, you can instantiate a ConnectionType object, e.g: new glue.ConnectionType('NEW_TYPE').

See Adding a Connection to Your Data Store and Connection Structure documentation for more information on the supported data stores and their configurations.

SecurityConfiguration

A SecurityConfiguration is a set of security properties that can be used by AWS Glue to encrypt data at rest.

new glue.SecurityConfiguration(this, 'MySecurityConfiguration', {
  securityConfigurationName: 'name',
  cloudWatchEncryption: {
    mode: glue.CloudWatchEncryptionMode.KMS,
  },
  jobBookmarksEncryption: {
    mode: glue.JobBookmarksEncryptionMode.CLIENT_SIDE_KMS,
  },
  s3Encryption: {
    mode: glue.S3EncryptionMode.KMS,
  },
});

By default, a shared KMS key is created for use with the encryption configurations that require one. You can also supply your own key for each encryption config, for example, for CloudWatch encryption:

declare const key: kms.Key;
new glue.SecurityConfiguration(this, 'MySecurityConfiguration', {
  securityConfigurationName: 'name',
  cloudWatchEncryption: {
    mode: glue.CloudWatchEncryptionMode.KMS,
    kmsKey: key,
  },
});

See documentation for more info for Glue encrypting data written by Crawlers, Jobs, and Development Endpoints.

Database

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

new glue.Database(this, '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.):

declare const myDatabase: glue.Database;
new glue.Table(this, 'MyTable', {
  database: myDatabase,
  tableName: 'my_table',
  columns: [{
    name: 'col1',
    type: glue.Schema.STRING,
  }, {
    name: 'col2',
    type: glue.Schema.array(glue.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:

declare const myBucket: s3.Bucket;
declare const myDatabase: glue.Database;
new glue.Table(this, 'MyTable', {
  bucket: myBucket,
  s3Prefix: 'my-table/',
  // ...
  database: myDatabase,
  tableName: 'my_table',
  columns: [{
    name: 'col1',
    type: glue.Schema.STRING,
  }],
  dataFormat: glue.DataFormat.JSON,
});

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:

Partition Keys

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:

declare const myDatabase: glue.Database;
new glue.Table(this, '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,
});

Partition Indexes

Another way to improve query performance is to specify partition indexes. If no partition indexes are present on the table, AWS Glue loads all partitions of the table and filters the loaded partitions using the query expression. The query takes more time to run as the number of partitions increase. With an index, the query will try to fetch a subset of the partitions instead of loading all partitions of the table.

The keys of a partition index must be a subset of the partition keys of the table. You can have a maximum of 3 partition indexes per table. To specify a partition index, you can use the partitionIndexes property:

declare const myDatabase: glue.Database;
new glue.Table(this, '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,
  }],
  partitionIndexes: [{
    indexName: 'my-index', // optional
    keyNames: ['year'],
  }], // supply up to 3 indexes
  dataFormat: glue.DataFormat.JSON,
});

Alternatively, you can call the addPartitionIndex() function on a table:

declare const myTable: glue.Table;
myTable.addPartitionIndex({
  indexName: 'my-index',
  keyNames: ['year'],
});

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.

declare const myDatabase: glue.Database;
new glue.Table(this, 'MyTable', {
  encryption: glue.TableEncryption.S3_MANAGED,
  // ...
  database: myDatabase,
  tableName: 'my_table',
  columns: [{
    name: 'col1',
    type: glue.Schema.STRING,
  }],
  dataFormat: glue.DataFormat.JSON,
});

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

declare const myDatabase: glue.Database;
// KMS key is created automatically
new glue.Table(this, 'MyTable', {
  encryption: glue.TableEncryption.KMS,
  // ...
  database: myDatabase,
  tableName: 'my_table',
  columns: [{
    name: 'col1',
    type: glue.Schema.STRING,
  }],
  dataFormat: glue.DataFormat.JSON,
});

// with an explicit KMS key
new glue.Table(this, 'MyTable', {
  encryption: glue.TableEncryption.KMS,
  encryptionKey: new kms.Key(this, 'MyKey'),
  // ...
  database: myDatabase,
  tableName: 'my_table',
  columns: [{
    name: 'col1',
    type: glue.Schema.STRING,
  }],
  dataFormat: glue.DataFormat.JSON,
});

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

declare const myDatabase: glue.Database;
new glue.Table(this, 'MyTable', {
  encryption: glue.TableEncryption.KMS_MANAGED,
  // ...
  database: myDatabase,
  tableName: 'my_table',
  columns: [{
    name: 'col1',
    type: glue.Schema.STRING,
  }],
  dataFormat: glue.DataFormat.JSON,
});

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

declare const myDatabase: glue.Database;
// KMS key is created automatically
new glue.Table(this, 'MyTable', {
  encryption: glue.TableEncryption.CLIENT_SIDE_KMS, 
  // ...
  database: myDatabase,
  tableName: 'my_table',
  columns: [{
    name: 'col1',
    type: glue.Schema.STRING,
  }],
  dataFormat: glue.DataFormat.JSON,
});

// with an explicit KMS key
new glue.Table(this, 'MyTable', {
  encryption: glue.TableEncryption.CLIENT_SIDE_KMS,
  encryptionKey: new kms.Key(this, 'MyKey'),
  // ...
  database: myDatabase,
  tableName: 'my_table',
  columns: [{
    name: 'col1',
    type: glue.Schema.STRING,
  }],
  dataFormat: glue.DataFormat.JSON,
});

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:

declare const myDatabase: glue.Database;
new glue.Table(this, 'MyTable', {
  columns: [{
    name: 'primitive_column',
    type: glue.Schema.STRING,
  }, {
    name: 'array_column',
    type: glue.Schema.array(glue.Schema.INTEGER),
    comment: 'array',
  }, {
    name: 'map_column',
    type: glue.Schema.map(
      glue.Schema.STRING,
      glue.Schema.TIMESTAMP),
    comment: 'map',
  }, {
    name: 'struct_column',
    type: glue.Schema.struct([{
      name: 'nested_column',
      type: glue.Schema.DATE,
      comment: 'nested comment',
    }]),
    comment: "struct",
  }],
  // ...
  database: myDatabase,
  tableName: 'my_table',
  dataFormat: glue.DataFormat.JSON,
});  

Primitives

Numeric

Date and time

String

Miscellaneous

Complex