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cdk-glue-job-builder

v0.0.23

Published

A construct library that builds Glue Job Script as if it were Glue Studio.

Downloads

8

Readme

CDK Glue Job Builder

A construct library that builds Glue Job Script as if it were Glue Studio.

Install

yarn add cdk-glue-job-builder

Get started

Create nodes from DataSource, DataTarget, and Transform and connect them with the INode.to (or INode.from) method. Once you have connected any nodes, simply pass any node (anywhere in the node graph) to CodeBuilder.python and pass it to the script in glue.Job. The following is an example of connecting data from a data catalog to a data catalog with a name field dropped.

import * as glue from '@aws-cdk/aws-glue-alpha';
import {
  CodeBuilder,
  DataSource,
  DataTarget,
  Transform,
} from 'cdk-glue-job-builder';

// S3 Catalog Source
declare const sourceDatabase: glue.Database;
declare const sourceTable: glue.Table;
const source = DataSource.s3Catalog('source', {
  database: sourceDatabase,
  table: sourceTable,
  bucket: sourceTable.bucket,
});

// Will drop name field
const dropName = Transform.dropFields('drop_name', {
  fields: ['name'],
});

// S3 Catalog Target
declare const targetDatabase: glue.Database;
declare const targetTable: glue.Table;
const target = DataTarget.s3Catalog('target', {
  database: targetDatabase,
  table: targetTable,
  bucket: targetTable.bucket,
});

// chain nodes.
const jobGraph = source.to(dropName).to(target);

new glue.Job(stack, 'Job', {
  executable: glue.JobExecutable.pythonEtl({
    script: CodeBuilder.python(jobGraph),
    glueVersion: glue.GlueVersion.V3_0,
    pythonVersion: glue.PythonVersion.THREE,
  }),
});

Quick Start

The following tutorial is an example of dropping a physical name from a JSON object list of ARNs and physical names.

  1. Initialize you CDK App.
  2. Rewrite your stack file to following code.
import * as glue from '@aws-cdk/aws-glue-alpha';
import { CfnOutput, RemovalPolicy, Stack, StackProps } from 'aws-cdk-lib';
import { Bucket } from 'aws-cdk-lib/aws-s3';
import { BucketDeployment, Source } from 'aws-cdk-lib/aws-s3-deployment';
import { Construct } from 'constructs';
import {
  CodeBuilder,
  DataSource,
  DataTarget,
  Transform,
} from 'cdk-glue-job-builder';

export class YourStack extends Stack {
  constructor(scope: Construct, id: string, props?: StackProps) {
    super(scope, id, props);

    // S3 Catalog Source
    const sourceBucket = new Bucket(this, 'SourceBucket', {
      removalPolicy: RemovalPolicy.DESTROY,
      autoDeleteObjects: true,
    });
    const sourceDatabase = new glue.Database(this, 'SourceDatabase', {
      databaseName: 'source_database',
    });
    const sourceTable = new glue.Table(this, 'SourceTable', {
      tableName: 'source_table',
      database: sourceDatabase,
      bucket: sourceBucket,
      dataFormat: glue.DataFormat.JSON,
      columns: [
        {
          name: 'arn',
          type: glue.Schema.STRING,
        },
        {
          name: 'name',
          type: glue.Schema.STRING,
        },
      ],
    });
    const source = DataSource.s3Catalog('source', {
      database: sourceDatabase,
      table: sourceTable,
      bucket: sourceTable.bucket,
    });

    // Will drop name field
    const dropName = Transform.dropFields('drop_name', {
      fields: ['name'],
    });

    // S3 Catalog Target
    const targetBucket = new Bucket(this, 'TargetBucket', {
      removalPolicy: RemovalPolicy.DESTROY,
      autoDeleteObjects: true,
    });
    const targetDatabase = new glue.Database(this, 'TargetDatabase', {
      databaseName: 'target_database',
    });
    const targetTable = new glue.Table(this, 'TargetTable', {
      tableName: 'target_table',
      database: targetDatabase,
      bucket: targetBucket,
      dataFormat: glue.DataFormat.JSON,
      columns: [
        {
          name: 'arn',
          type: glue.Schema.STRING,
        },
      ],
    });
    const target = DataTarget.s3Catalog('target', {
      database: targetDatabase,
      table: targetTable,
      bucket: targetTable.bucket,
    });

    // chain nodes.
    const jobGraph = source.to(dropName).to(target);

    const job = new glue.Job(this, 'Job', {
      executable: glue.JobExecutable.pythonEtl({
        script: CodeBuilder.python(jobGraph),
        glueVersion: glue.GlueVersion.V3_0,
        pythonVersion: glue.PythonVersion.THREE,
      }),
    });

    const testData = Source.data(
      'test.json',
      [
        { arn: sourceDatabase.databaseArn, name: sourceDatabase.databaseName },
        { arn: sourceTable.tableArn, name: sourceTable.tableName },
        { arn: targetDatabase.databaseArn, name: targetDatabase.databaseName },
        { arn: targetTable.tableArn, name: targetTable.tableName },
      ]
        .map((v) => JSON.stringify(v))
        .join('\n')
    );
    new BucketDeployment(this, 'BucketDeployment', {
      sources: [testData],
      destinationBucket: sourceTable.bucket,
    });

    new CfnOutput(this, 'SourceBucketConsole', {
      value: `https://s3.console.aws.amazon.com/s3/buckets/${sourceBucket.bucketName}`,
    });
    new CfnOutput(this, 'GlueConsole', {
      value: `https://${this.region}.console.aws.amazon.com/gluestudio/home?region=${this.region}#/editor/job/${job.jobName}/script`,
    });
    new CfnOutput(this, 'TargetBucketConsole', {
      value: `https://s3.console.aws.amazon.com/s3/buckets/${targetBucket.bucketName}`,
    });
  }
}
  1. Run cdk deploy.
  2. Access the displayed SourceBucketConsole and check the test.json.
  3. Access the displayed GlueConsole and Run job.
  4. Access the displayed TargetBucketConsole and check a file.
  5. Run cdk destroy.