Informatica Cloud (Version Spring 2017) Microsoft Azure DocumentDB Connector Guide

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1 Informatica Cloud (Version Spring 2017) Microsoft Azure DocumentDB Connector Guide

2 Informatica Cloud Microsoft Azure DocumentDB Connector Guide Version Spring 2017 April 2017 Copyright Informatica LLC 1993, 2017 This software and documentation contain proprietary information of Informatica LLC and are provided under a license agreement containing restrictions on use and disclosure and are also protected by copyright law. Reverse engineering of the software is prohibited. No part of this document may be reproduced or transmitted in any form, by any means (electronic, photocopying, recording or otherwise) without prior consent of Informatica LLC. This Software may be protected by U.S. and/or international Patents and other Patents Pending. Use, duplication, or disclosure of the Software by the U.S. Government is subject to the restrictions set forth in the applicable software license agreement and as provided in DFARS (a) and (a) (1995), DFARS (1)(ii) (OCT 1988), FAR (a) (1995), FAR , or FAR (ALT III), as applicable. 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4 Table of Contents Preface Informatica Resources Informatica Documentation Informatica Cloud Web Site Informatica Cloud Communities Informatica Cloud Marketplace Informatica Cloud Connector Documentation Informatica Knowledge Base Informatica Cloud Trust Site Informatica Global Customer Support Chapter 1: Introduction to Microsoft Azure DocumentDB Connector Microsoft Azure DocumentDB Connector Overview Informatica Cloud Hosted Agent Introduction to Microsoft Azure DocumentDB Microsoft Azure DocumentDB Connector Example Microsoft Azure DocumentDB Connector Task and Object Types Chapter 2: Microsoft Azure DocumentDB Connections Microsoft Azure DocumentDB Connection Overview Microsoft Azure DocumentDB Connection Properties Chapter 3: Data Synchronization Tasks with Microsoft Azure DocumentDB Microsoft Azure DocumentDB Source Properties Microsoft Azure DocumentDB Target Properties Chapter 4: Mappings and Mapping Configuration Tasks with Microsoft Azure DocumentDB Microsoft Azure DocumentDB Source Properties Microsoft Azure DocumentDB Target Properties in Mappings and Mapping Configuration Tasks Chapter 5: Data Type Reference Microsoft Azure DocumentDB Data Type Reference Overview Index Table of Contents

5 Preface The Microsoft Azure DocumentDB Connector Guide contains information about how to set up and use Microsoft Azure DocumentDB connections. This guide explains how organization administrators and business users can use Microsoft Azure DocumentDB Connector to read data from and write data to Microsoft Azure DocumentDB. This guide assumes you have an understanding of Microsoft Azure DocumentDB and Informatica Cloud. Informatica Resources Informatica Documentation To get the latest documentation for your product, browse the Informatica Knowledge Base at If you have questions, comments, or ideas about this documentation, contact the Informatica Documentation team through at Informatica Cloud Web Site You can access the Informatica Cloud web site at This site contains information about Informatica Cloud editions and applications. Informatica Cloud Communities Use the Informatica Cloud Community to discuss and resolve technical issues in Informatica Cloud. You can also find technical tips, documentation updates, and answers to frequently asked questions. Access the Informatica Cloud Community at: To find resources on using Cloud Application Integration (the Informatica Cloud Real Time service), access the community at: Developers can learn more and share tips at the Cloud Developer community: 5

6 Informatica Cloud Marketplace Visit the Informatica Marketplace to try and buy Informatica Cloud Connectors, Informatica Cloud integration templates, and Data Quality mapplets: Informatica Cloud Connector Documentation You can access documentation for Informatica Cloud Connectors at the Informatica Cloud Community: You can also download individual connector guides: Informatica Knowledge Base Use the Informatica Knowledge Base to search Informatica Network for product resources such as documentation, how-to articles, best practices, and PAMs. To access the Knowledge Base, visit If you have questions, comments, or ideas about the Knowledge Base, contact the Informatica Knowledge Base team at Informatica Cloud Trust Site You can access the Informatica Cloud trust site at This site provides real time information about Informatica Cloud system availability, current and historical data about system performance, and details about Informatica Cloud security policies. Informatica Global Customer Support You can contact a Customer Support Center by telephone or online. For online support, click Submit Support Request in the Informatica Cloud application. You can also use Online Support to log a case. Online Support requires a login. You can request a login at The telephone numbers for Informatica Global Customer Support are available from the Informatica web site at 6 Preface

7 C H A P T E R 1 Introduction to Microsoft Azure DocumentDB Connector This chapter includes the following topics: Microsoft Azure DocumentDB Connector Overview, 7 Informatica Cloud Hosted Agent, 7 Introduction to Microsoft Azure DocumentDB, 8 Microsoft Azure DocumentDB Connector Example, 8 Microsoft Azure DocumentDB Connector Task and Object Types, 9 Microsoft Azure DocumentDB Connector Overview You can use Microsoft Azure DocumentDB Connector to securely read data from and write data to Microsoft Azure DocumentDB. You can specify the Informatica Cloud Secure Agent as the runtime environment to read data from or write data to Microsoft Azure Document DB. You can use Microsoft Azure DocumentDB objects as a source or target in Data Synchronization tasks and mappings. When you use Microsoft Azure DocumentDB objects in Data Synchronization tasks and mappings, you must configure properties specific to Microsoft Azure DocumentDB. You can insert data to or delete data from Microsoft Azure DocumentDB. You can update data in Microsoft Azure DocumentDB. You cannot upsert data to Microsoft Azure DocumentDB. Informatica Cloud Hosted Agent You can use the Informatica Cloud Hosted Agent (Hosted Agent) as a runtime environment for a Microsoft Azure DocumentDB connection if you have the Cloud Runtime license. Informatica Cloud Secure Agents are installed locally. As an alternative to installing a Secure Agent, you can use a Hosted Agent. Hosted Agents are hosted at an Informatica Cloud hosting facility. The Informatica Cloud hosting facility manages the Hosted Agent runtime environment and the agents that run in it. You cannot add, delete, or configure a Hosted Agent runtime environment. Because you do not install a Hosted Agent, you do not have access to files normally stored in the Secure Agent directory, such as configuration, success, and reject files. 7

8 Introduction to Microsoft Azure DocumentDB Microsoft Azure DocumentDB is document based, schema free, NoSQL database. Microsoft Azure DocumentDB is a scalable and reliable database that maintains at least three copies of all data and stores each copy on a different physical server. Microsoft DocumentDB database contains a set of collections. A collection is a set of JSON documents. A database in Microsoft DocumentDB can contain multiple collections. A document in a collection does not need to have the same set of fields or structure as another document in the same collection. A document can also contain nested documents. The following schema is an example of a JSON document that Microsoft DocumentDB supports: { "id"":""2a8edbd7-60d3-6f98-af2d-1be5bbb3b515" "name": "Software Solutions", "country": "USA", "contacts": [ {"ceo": "Mary Yen", " ": "mary@softwaresolutions.com", "phone": " "}, {"purchasing": "Chris Jacob", " ": "chrisj@softwaresolutions.com", " ": "cjacob@softwaresolutions.com"} ], "salesrank": 4, "salesytd": } In the example, name, country, contacts, CEO, phone, purchasing, , salesrank and SalesYTD are fields. Microsoft Azure DocumentDB Connector Example You work for an automotive parts supplier that uses Microsoft Azure DocumentDB to store product catalog information. Different parts have different attributes in addition to the common attributes that all the parts share. When your organization introduces a new model for a part, you add additional attributes for that part. As Microsoft Azure DocumentDB stores data as JSON Documents, you can have flexible schemas to represent data with nested properties. The business analysts in your organization use a report authoring tool that uses a flat file. You can use Microsoft Azure DocumentDB Connector and create a Data Synchronization task or Mapping to read data from Microsoft DocumentDB and write data to a flat file. 8 Chapter 1: Introduction to Microsoft Azure DocumentDB Connector

9 Microsoft Azure DocumentDB Connector Task and Object Types The following table lists the Microsoft Azure DocumentDB object types that you can use in Informatica Cloud tasks: Task Type Source Target Lookup Data Synchronization Yes Yes No Mapping Configuration Yes Yes No Microsoft Azure DocumentDB Connector Task and Object Types 9

10 C H A P T E R 2 Microsoft Azure DocumentDB Connections This chapter includes the following topics: Microsoft Azure DocumentDB Connection Overview, 10 Microsoft Azure DocumentDB Connection Properties, 10 Microsoft Azure DocumentDB Connection Overview Create a Microsoft Azure DocumentDB connection to securely read data from or write data to Microsoft Azure DocumentDB. You can use Microsoft Azure DocumentDB connections to specify a source and target in Data Synchronization tasks and Mapping Configuration tasks. Create a connection and associate it with a Data Synchronization task, mapping, or Mapping Configuration task. You create a Microsoft Azure DocumentDB connection on the Connections page and use it in the Mapping Designer when you create a mapping or in the Data Synchronization task wizard when you create a task. The connection becomes available to the entire organization. Microsoft Azure DocumentDB Connection Properties When you set up a Microsoft Azure DocumentDB connection, you must configure the connection properties The following table describes Microsoft Azure DocumentDB connection properties: Connection Property Runtime Environment DocumentDB URI Description The name of the runtime environment where you want to run the tasks. The URI of Microsoft Azure DocumentDB account. 10

11 Connection Property Key Database Description The primary and secondary key to which provides you complete administrative access to the resources within Microsoft Azure DocumentDB account. Name of the database that contains the collections from which you want to read or write JSON documents. Microsoft Azure DocumentDB Connection Properties 11

12 C H A P T E R 3 Data Synchronization Tasks with Microsoft Azure DocumentDB This chapter includes the following topics: Microsoft Azure DocumentDB Source Properties, 12 Microsoft Azure DocumentDB Target Properties, 13 Microsoft Azure DocumentDB Source Properties You can use a Microsoft Azure DocumentDB collection as a source in a Data Synchronization task. When you use Microsoft Azure DocumentDB source objects, you can select a Microsoft Azure DocumentDB collection as the source. The following table describes the Microsoft Azure DocumentDB properties that you can configure in a Source transformation: Property Connection Source Type Object Description Name of the source connection. Source type. Select Single Object or Parameter. Name of the source object. 12

13 Microsoft Azure DocumentDB Target Properties When you use Microsoft Azure DocumentDB target objects, you can select a standard object as target. You can configure Microsoft Azure DocumentDB target properties on the Target page of the Data Synchronization Task wizard. The following table describes the Microsoft Azure DocumentDB properties that you can configure in a Target transformation: Property Connection Object Description Name of the target connection. Name of the target object. When you configure a Data Synchronization task to use Microsoft Azure DocumentDB targets, you can configure advanced target properties. Advanced target properties appear on the Schedule page of the Data Synchronization Task wizard. The following table shows the Microsoft Azure DocumentDB advanced target properties: Advanced Target Property Create new collection if data exceeds DocumentDB limit Pricing tier for the collection created when DocumentDB limit is exceeded Generate automatic ID for JSON document Description Specify whether the secure agent should create a new collection when the data exceeds the limit. If you do not select this option and the task exceeds the data limit, the task fails with a data limit error. The billing for Microsoft DocumentDB collections are based on the performance level that you assign to the collection. You can set the collections to either of the following performance levels: S1, S2, and S3. You can select the required Pricing Tier from the list. You must provide an ID of your JSON Document to perform read and write operations. Select enable to generate the ID if you do not have an ID assigned to your JSON document. When you select disable, the secure agent does not generate any ID and the task fails with an error. Microsoft Azure DocumentDB Target Properties 13

14 C H A P T E R 4 Mappings and Mapping Configuration Tasks with Microsoft Azure DocumentDB This chapter includes the following topics: Microsoft Azure DocumentDB Source Properties, 14 Microsoft Azure DocumentDB Target Properties in Mappings and Mapping Configuration Tasks, 15 Microsoft Azure DocumentDB Source Properties In a mapping, you can configure a Source transformation to represent a single Microsoft Azure DocumentDB object. The following table describes the Microsoft Azure DocumentDB properties that you can configure in a Source transformation: Property Connection Source Type Object Description Name of the source connection. Source type. Select Single Object or Parameter. Name of the source object. 14

15 Microsoft Azure DocumentDB Target Properties in Mappings and Mapping Configuration Tasks You can use an Microsoft Azure DocumentDB object as a target in a Data Synchronization task. When you use Microsoft Azure DocumentDB target objects, you can select a Microsoft Azure DocumentDB collection as target. You can configure Microsoft Azure DocumentDB target properties on the Target page of the Data Synchronization Task wizard. Property Connection Target Type Object Operation Description Name of the target connection. Select one of the following target types: - Single Object. - Parameter. Select Parameter to define the target type when you configure the task. Name of the target object. Select Insert or Delete. The following table describes the Microsoft Azure DocumentDB target advanced properties that you can configure in a Target transformation: Advanced Target Property Create new collection if data exceeds DocumentDB limi Pricing tier for the collection created when DocumentDB limit is exceeded Generate automatic ID for JSON document Forward Rejected Rows Description Specify whether the secure agent should create a new collection when the data exceeds the limit. If you do not select this option and the task exceeds the data limit, the task fails with a data limit error. The billing for Microsoft DocumentDB collections are based on the performance level that you assign to the collection. You can set the collections to either of the following performance levels: S1, S2, and S3. You can select the required Pricing Tier from the list. You must provide an ID of your JSON Document to perform read and write operations. Select enable to generate the ID if you do not have an ID assigned to your JSON document. When you select disable, the secure agent does not generate any ID and the task fails with an error. Forward Rejected Rows Determines whether the transformation passes rejected rows to the next transformation or drops rejected rows. By default, the Mapping Configuration application forwards rejected rows to the next transformation. Microsoft Azure DocumentDB Target Properties in Mappings and Mapping Configuration Tasks 15

16 C H A P T E R 5 Data Type Reference This chapter includes the following topic: Microsoft Azure DocumentDB Data Type Reference Overview, 16 Microsoft Azure DocumentDB Data Type Reference Overview Informatica Cloud applications use the String Microsoft Azure DocumentDB native data type and the String Transformation data type in tasks. Microsoft Azure DocumentDB native data types Microsoft Azure DocumentDB data types appear in the Fields tab for Source and Target transformations when you choose to edit metadata for the fields. Transformation data types Set of data types that appear in the remaining transformations. Transformation data types are internal data types based on ANSI SQL-92 generic data types, which Informatica Cloud uses to move data across platforms. Transformation data types appear in all remaining transformations in mappings, data synchronization tasks, or mapping configuration tasks. When the Informatica Cloud application reads source data, it converts the native data types to the comparable transformation data types before transforming the data. When the Informatica Cloud application writes to a target, it converts the transformation data types to the comparable native data types. You can use fields of the String data type that contain entries from one to 104,857,600 characters. 16

17 I n d e x A advanced target properties 13 Advanced Target Property 15 C Cloud Application Integration community URL 5 Cloud Developer community URL 5 Collection JSON document 8 Connection 14 D data synchronization tasks 9 data types 16 delete 7 E error file directory 13 F field delimiter 15 forward rejected rows 15 H Hosted Agent 7 I Informatica Cloud Community URL 5 Informatica Cloud web site URL 5 Informatica Global Customer Support contact information 6 insert 7 K Key 10 L lookups 9 M mapping configuration tasks 9 mappings source properties 14 target properties 15 MicrosoftAzureDocumentDB introduction 8 N number of concurrent connections to Blob Store 13 O operations 7 P primary and secondary key 10 properties in mappings 14, 15 R Runtime Environment 10 S schema 10 Secure Agent 10 source connection 12, 14 Source properties 12 Source transformation 14 sources 9 success file directory 13 T targets 9 trust site description 6 17