Spark
 

Apache Spark FireDAC Components

Delphi & C++Builder アプリの外部データ接続機能を拡張!

Delphi とC++ Builder アプリをApache Spark SQL にリアルタイム接続。簡単かつ高速です。


  ダウンロード   価格

Spark FireDAC Component を使えば、Delphi & C++ Builder アプリケーションからSpark データに簡単に連携できます。 Rapidly create and deploy powerful Delphi & C++Builder Apps that integrate with Apache Spark.

機能紹介

  • Maps SQL to Spark SQL, enabling direct standard SQL-92 access to Apache Spark
  • Fully compatible with the DataBricks Enterprise Platform
  • Connect to live Apache Spark SQL data, for real-time data access
  • Full support for data aggregation and complex JOINs in SQL queries
  • Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.

Specifications

  • Native FireDAC Components for Spark seamlessly integrate with RAD Studio
  • Comprehensive support for CRUD (Create, Read, Update, & Delete)
  • Full Unicode support for data, parameter, & metadata
  • Support for 32-bit & 64-bit operating systems
  • Requires Delphi, C++ Builder, or RAD Studio 10.2 Professional or higher


AVAILABLE IN:
FireDAC SUBSCRIPTIONS
225+ FireDAC Drivers For Real-Time Data Access
詳細

FireDAC Components

あらゆるデータソースにRDB と同感覚で連携が可能に



標準FireDAC Components


MySQL やSQL Server のようなRDBMS への接続と同感覚。 TDFManager、TDFConnection、TDFQueryUse といった標準FireDAC components として。


	FDConnection1.Name := 'SparkConnection';
	FDConnection1.DriverName := 'CData.Fire.Spark';
	with FDConnection1.Params as
	    TFDPhysCDataSparkConnectionDefParams do begin

	    ...
	end;


	FDConnection1.Connected := true;
	FDQuery1.Active := true;
	FDQuery1.Open('select * from ApacheSpark');

	...

	

Type SQL, Get Spark


データ連携アプリケーションを開発する最適解。 RDBMS の扱いと同感覚で、Spark への連携を、標準SQL で実装可能。JOIN、更新系、集計など多彩なSQL サポート。

SELECT WITH INNER JOIN

	SELECT ApacheSpark.Id, ApacheSpark.Name, ApacheSpark.Fax,
	  Opportunity.AccountId, Opportunity.CloseDate
	FROM ApacheSpark
	INNER JOIN Opportunity
	  ON ApacheSpark.Id = Opportunity.AccountId
	

集計関数

	SELECT Name, AVG(AnnualRevenue) FROM ApacheSpark GROUP BY Name
	

CRUD 処理

	UPDATE ApacheSpark SET Name='John' WHERE Id = @myId
	


エンタープライズレベルの機能