BizTalk Adapter for CSV

Build 20.0.7503

CData BizTalk Adapter for CSV

Overview

The CData BizTalk Adapter for CSV enables you to access CSV data as BizTalk Messages. You can work with CSV data from BizTalk tools such as Send Ports, Receive Locations, Orchestrations, and Pipelines.

The adapter wraps the complexity of accessing CSV data in a standard BizTalk adapter similar to the BizTalk Adapter for SQL Server. The adapter abstracts the underlying data source into tables, views, and stored procedures that can be used to retrieve and update data.

The CData BizTalk Adapter for CSV hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.

Key Features

  • Access real-time CSV data in BizTalk.
  • Execute updategrams, stored procedures, and SQL commands.
  • Supports metadata discovery and schema generation for CSV entities.

Getting Started

See Getting Started to install the adapter and connect to CSV in BizTalk.

Using the Adapter

See Adapter Configuration to configure the adapter in send ports and receive locations. See Supported Macros when configuring the adapter properties.

Generating Schemas

See Generating Schemas for example schemas and the corresponding XML instances for executing updategrams, SQL commands, and stored procedures from various BizTalk ports. Bulk updategrams take advantage of the CSV bulk APIs to execute simultaneous updates.

You can also use the Add Adapter Metadata wizard in Visual Studio to generate schemas. See the CData KB for a guide.

SQL Compliance

See SQL Compliance for a syntax reference and code examples outlining the supported SQL.

Caching Data

See Caching Data to configure replication and caching for a range of scenarios common to remote data access. Configurations include:

  • Autocache: Automatically cache data to a lightweight database. Save data for later offline use or enable fast reporting from the cache.
  • Replication: Copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, and so on. The replication commands allow for intelligent incremental updates to cached data.
  • No caching: Work with remote data only. No local cache file is created.

Data Model

See Modeling CSV Data to find more information on how the adapter models the CSV APIs as tables, views, and stored procedures. This section also provides more detailed information on querying specific CSV entities.

CSV Adapter

See the CSV Adapter section to configure Receiver and Transmitter properties for receive locations and send ports.

Connection Properties

See the Connection section for the connection properties used to connect to CSV.

Copyright (c) 2020 CData Software, Inc. - All rights reserved.
Build 20.0.7503