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Apache Spark でAthena Data をSQL で操作

CData JDBC ドライバーを使用して、Apache Spark でAthena Data にデータ連携。

Apache Spark は大規模データ処理のための高速で一般的なエンジンです。CData JDBC Driver for Athena と組み合わせると、Spark はリアルタイムAthena data にデータ連携して処理ができます。ここでは、Spark シェルに接続してAthena data をクエリする方法について説明します。

CData JDBC Driver は、最適化されたデータ処理がドライバーに組み込まれているため、リアルタイムAthena data と対話するための高いパフォーマンスを提供します。Athena に複雑なSQL クエリを発行すると、ドライバーはフィルタや集計など、サポートされているSQL操作を直接Athena にプッシュし、組込みSQL エンジンを使用してサポートされていない操作(SQL 関数やJOIN 操作)をクライアント側で処理します。組み込みの動的メタデータクエリを使用すると、ネイティブデータ型を使用してAthena data を操作して分析できます。

CData JDBC Driver for Athena をインストール

CData JDBC Driver for Athena インストーラをダウンロードし、パッケージを解凍し、JAR ファイルを実行してドライバーをインストールします。

Spark Shell を起動してAthena Data に接続

  1. Open a terminal and start the Spark shell with the CData JDBC Driver for Athena JAR file as the jars parameter: $ spark-shell --jars /CData/CData JDBC Driver for Athena/lib/cdata.jdbc.amazonathena.jar
  2. With the shell running, you can connect to Athena with a JDBC URL and use the SQL Context load() function to read a table.

    Authenticating to Amazon Athena

    To authorize Amazon Athena requests, provide the credentials for an administrator account or for an IAM user with custom permissions: Set AccessKey to the access key Id. Set SecretKey to the secret access key.

    Note: Though you can connect as the AWS account administrator, it is recommended to use IAM user credentials to access AWS services.

    Obtaining the Access Key

    To obtain the credentials for an IAM user, follow the steps below:

    1. Sign into the IAM console.
    2. In the navigation pane, select Users.
    3. To create or manage the access keys for a user, select the user and then select the Security Credentials tab.

    To obtain the credentials for your AWS root account, follow the steps below:

    1. Sign into the AWS Management console with the credentials for your root account.
    2. Select your account name or number and select My Security Credentials in the menu that is displayed.
    3. Click Continue to Security Credentials and expand the Access Keys section to manage or create root account access keys.

    Authenticating from an EC2 Instance

    If you are using the CData Data Provider for Amazon Athena 2018 from an EC2 Instance and have an IAM Role assigned to the instance, you can use the IAM Role to authenticate. To do so, set UseEC2Roles to true and leave AccessKey and SecretKey empty. The CData Data Provider for Amazon Athena 2018 will automatically obtain your IAM Role credentials and authenticate with them.

    Authenticating as an AWS Role

    In many situations it may be preferable to use an IAM role for authentication instead of the direct security credentials of an AWS root user. An AWS role may be used instead by specifying the RoleARN. This will cause the CData Data Provider for Amazon Athena 2018 to attempt to retrieve credentials for the specified role. If you are connecting to AWS (instead of already being connected such as on an EC2 instance), you must additionally specify the AccessKey and SecretKey of an IAM user to assume the role for. Roles may not be used when specifying the AccessKey and SecretKey of an AWS root user.

    Authenticating with MFA

    For users and roles that require Multi-factor Authentication, specify the MFASerialNumber and MFAToken connection properties. This will cause the CData Data Provider for Amazon Athena 2018 to submit the MFA credentials in a request to retrieve temporary authentication credentials. Note that the duration of the temporary credentials may be controlled via the TemporaryTokenDuration (default 3600 seconds).

    Connecting to Amazon Athena

    In addition to the AccessKey and SecretKey properties, specify Database, S3StagingDirectory and Region. Set Region to the region where your Amazon Athena data is hosted. Set S3StagingDirectory to a folder in S3 where you would like to store the results of queries.

    If Database is not set in the connection, the data provider connects to the default database set in Amazon Athena.

    組み込みの接続文字列デザイナー

    For assistance in constructing the JDBC URL, use the connection string designer built into the Athena JDBC Driver.Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.amazonathena.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    scala> val amazonathena_df = spark.sqlContext.read.format("jdbc").option("url", "jdbc:amazonathena:AccessKey='a123';SecretKey='s123';Region='IRELAND';Database='sampledb';S3StagingDirectory='s3://bucket/staging/';").option("dbtable","Customers").option("driver","cdata.jdbc.amazonathena.AmazonAthenaDriver").load()
  3. Once you connect and the data is loaded you will see the table schema displayed.
  4. Register the Athena data as a temporary table:

    scala> amazonathena_df.registerTable("customers")
  5. Perform custom SQL queries against the Data using commands like the one below:

    scala> amazonathena_df.sqlContext.sql("SELECT Name, TotalDue FROM Customers WHERE CustomerId = 12345").collect.foreach(println)

    You will see the results displayed in the console, similar to the following:

Using the CData JDBC Driver for Athena in Apache Spark, you are able to perform fast and complex analytics on Athena data, combining the power and utility of Spark with your data.Download a free, 30 day trial of any of the 200+ CData JDBC Drivers and get started today.

 
 
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