vania-janet/multiturn-rag-retrieval-data huggingface dataset:
2.
Analytics
3. Blockchain
4.
Compute
5.
Containers
6.
Databases
7.
Developer tools
8. Integration
9.
Internal
10.
Logging and monitoring
11. Mobile
12.
Networking
13.
Platform
14.
Security
15.
Storage




AI / Machine Learning[AI Factsheets API](https://cloud.ibm.com/apidocs/factsheets)AI Factsheets API Service SDK[AI Factsheets API for IBM Cloud Pak for Data](https://cloud.ibm.com/apidocs/factsheets-cpd)AI Factsheets API for IBM Cloud Pak for Data Software SDK[Discovery v2 API](https://cloud.ibm.com/apidocs/discovery-data)Discovery v2 API Service SDK[IBM Match 360 (Cloud Pak for Data as a Service) API](https://cloud.ibm.com/apidocs/mdm)IBM Match 360 (Cloud Pak for Data as a Service) API Service[IBM Match 360 (Cloud Pak for Data) v1 API](https://cloud.ibm.com/apidocs/mdm-cpd)IBM Match 360 (Cloud Pak for Data) v1 API Software[Language Translator](https://cloud.ibm.com/apidocs/language-translator)Language Translator Service SDK[Natural Language Understanding](https://cloud.ibm.com/apidocs/natural-language-understanding)Natural Language Understanding Service SDK[Speech to Text](https://cloud.ibm.com/apidocs/speech-to-text)Speech to Text Service SDK[Text to Speech](https://cloud.ibm.com/apidocs/text-to-speech)Text to Speech Service SDK[Watson Assistant v1 API](https://cloud.ibm.com/apidocs/assistant-v1)Watson Assistant v1 API Service SDK[Watson Assistant v2 API](https://cloud.ibm.com/apidocs/assistant-v2)Watson Assistant v2 API Service
[Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Watson Knowledge Catalog ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Watson Machine Learning ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Watson OpenScale ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Watson Query ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Watson Studio ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Workspace for Power Systems Virtual Server !
[Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Watson Assistant ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Watson Discovery ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Watson Knowledge Catalog ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Watson Machine Learning !
[Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Compose for PostgreSQL ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Compose for RabbitMQ ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Compose for Redis ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) !
[Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Knowledge Studio ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Kubernetes Service ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) !
Other dependencies 



Table 3. Other

 Service name Description 

 IBM Cloud® Databases for Redis Used as UI session store and for caching of Cloudant data. To learn more, see [IBM Cloud Databases for Redis](https://cloud.ibm.com/docs/databases-for-redis). 









 Dependencies to third-party services 



Table 4. Dependencies

 Service name Description 

 Amplitude, Segment Amplitude and Segment are used to monitor user behavior in the IBM Cloud console, such as page hits or click-through paths. This information is used for IBM-internal marketing and data analytics purposes. 
 ServiceNow, Slack Those Services are used for problem determination and alerting.
[Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) 
 Watson Knowledge Catalog ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) 
 Knowledge Studio ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) 
 IBM Watson® Language Translator !
[Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 IBM Match 360 with Watson ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) 
 Image Service for VPC ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/adcecdbe4e86955f88aac7f3c1e7ec3ff44992ef/icons/checkmark-icon.svg) !
cloudantnosqldb.users-local-document.write Write a _local document to the _users database. 









 Viewing events 

Events are available in the Chennai, Dallas, Frankfurt, London, Osaka, São Paulo, Sydney, Tokyo, Toronto, and Washington DC locations. For more information, see [IBM Cloud services locations](https://cloud.ibm.com/docs/activity-tracker?topic=activity-tracker-cloud_services_locations).

Management events that are generated by an instance of the IBM Cloudant service are automatically collected and forwarded to the IBM Cloud Activity Tracker service instance that is available in the same location.

You must enable data events for the IBM Cloudant instance to be able to view them through the IBM Cloud Activity Tracker instance that is available in the same location as your IBM Cloudant instance.

IBM Cloud Activity Tracker can have only one instance per location. To view events, you must access the web user interface of the IBM Cloud Activity Tracker service in the same location where your service instance is available. For more information, see how to [start the web UI through the IBM Cloud UI](https://cloud.ibm.com/docs/Activity-Tracker-with-LogDNA?topic=Activity-Tracker-with-LogDNA-launch).
This is a complementary offering from IBM Power Systems, with low latency access to IBM Cloud services

See [SAP Note 2855850 - SAP Applications on IBM Power Virtual Servers](https://launchpad.support.sap.com//notes/2855850) for supported IBM Db2 database versions on AIX running on IBM Power Systems Virtual Servers.







 Infrastructure size considerations 

When you use IBM Db2 with SAP applications, follow the general SAP sizing rules as described in the SAP Quick Sizer documentation. However, certain IBM Db2 functions require special considerations.

When you use IBM Db2 columnar organized tables, also known as IBM Db2 BLU Acceleration, the minimal recommended server configuration is 64 GB memory and 4 CPU cores exclusively available for the database workload. For more information about sizing and usage of Db2 BLU Acceleration, see [SAP Note 1819734 - DB6: Use of BLU Acceleration](https://launchpad.support.sap.com//notes/1819734).



 File Systems for IBM Db2 

The following information describes the File Systems that are required for IBM Db2 with SAP NetWeaver:



* [Recommended file system types for Db2](https://www.ibm.com/support/knowledgecenter/SSEPGG_11.5.0/com.ibm.db2.luw.admin.dbobj.doc/doc/r0056470.html)
* [Required file systems for IBM Db2 with SAP NetWeaver ABAP (example is for Unix/Linux)](https://help.sap.com/viewer/ce9e270ad34949969c16d09d1b099a26/CURRENT_VERSION/en-US/713eb64f45c6448c8dbe8a51b85680ee.html)







 SWPM and IBM Db2 port conflict 

The default port is 5912 for the TCP/IP communication between the Db2 server and the Db2 client when you are using SWPM to install SAP software.
Analytics Engine



* 15 minutes
* 2022-08-26



[Process big data logs with SQL](https://cloud.ibm.com/docs/solution-tutorials?topic=solution-tutorials-big-data-log-analytics)Process big data logs with SQL

In this tutorial, you will build a log analysis pipeline designed to collect, store and analyze log records to support regulatory requirements or aid information discovery. This solution leverages several services available in IBM Cloud: Event Streams, Object Storage, Data Engine (previously SQL Query), Key Protect, and IBM Analytics Engine. A script and tool will assist you to simulate the transmission of web server log messages from a static file to Event Streams.

Object Storage Event Streams

+3

Analytics Engine,Data Engine,Key Protect



* 3 hours
* 2023-05-05



[Adding data to a metrics cube](https://cloud.ibm.com/docs/planning-analytics?topic=planning-analytics-Adding)Adding data to a metrics cube

You can use different approaches to add data to your metrics cube.

Planning Analytics



* 15 minutes
* 2023-01-31



[Creating a database](https://cloud.ibm.com/docs/planning-analytics?topic=planning-analytics-Creating)Creating a database

Planning Analytics with Watson users can create their own Planning Analytics databases by using Planning Analytics Workspace Administration.

Planning Analytics



* 15 minutes
* 2023-01-31



[Inviting users to your Planning Analytics as a Service environment](https://cloud.ibm.com/docs/planning-analytics?topic=planning-analytics-inviting_users_environment)Inviting users to your Planning Analytics as a Service environment

You can use IBM Planning Analytics® as a Service to invite additional users to access your service instance. You must first invite users into your IBM Cloud account using Identity Access Management (IAM) and then add the same users to Planning Analytics Workspace.

Planning Analytics



* 2023-01-31



[Known issues and limitations](https://cloud.ibm.com/docs/planning-analytics?topic=planning-analytics-Known)Known issues and limitations
* [General Data Protection Regulation (GDPR)](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-general-data-protection-regulation-gdpr-)



* [Transaction Engine notice](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-overview-te)
* [Service Changes and Deprecations for IBM Cloudant](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-deprecations-for-ibm-cloudant)
* [Release notes for IBM Cloudant Classic](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-classic-release-notes)



* Tutorials



* [Locating your service credentials](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-locating-your-service-credentials)
* [Migrating an instance with legacy credentials and IAM Authentication to IAM Only Authentication](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-migrating-to-iam-only)
* [Revoking a credential that is tied to your instance URL](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-revoke-instance-url-style-credential)
* [Using the IBM Cloudant Dashboard](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-navigate-the-dashboard)
* [Digging deeper into IBM Cloudant Dashboard](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-dig-deeper-dashboard)
* [Creating a web-based To-Do list](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-web-based-todo-list)
* [Creating an instance with CLI](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-creating-an-ibm-cloudant-instance-on-ibm-cloud-by-using-the-ibm-cloud-cli)
[View more](https://cloud.ibm.com/docs/databases-for-postgresql?topic=databases-for-postgresql-postgresql-relnotes)28 October 2022 | IBM Cloud® Databases for PostgreSQL v10: End-of-Life Extension

To ensure additional time for you to upgrade, Cloud Databases is extending the EOL support for PostgreSQL v10 until February 22, 2023.

19 October 2022 | Deploying and Connecting an IBM Cloud® Databases Instance Tutorial

This tutorial guides you through the process of deploying a Cloud Databases instance and connecting it to a web front end by creating a webpage that allows visitors to input a word and its definition. These values are then stored in a database running on Cloud Databases. You install the database infrastructure by using Terraform and your web application uses the popular Express framework. The application can then be run locally, or by using Docker.

11 October 2022 | Protecting IBM Cloud® Databases for PostgreSQL resources with context-based restrictions

Context-based restrictions (CBR) give account owners and administrators the ability to define and enforce access restrictions for IBM Cloud® resources based on the context of access requests. Access to Cloud Databases resources can be controlled with CBR and identity and access management (IAM) policies.
[Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) 







 Platform services 



Table 6. Integrated security services integration in America locations

 Global service Location 

 Billing Events are available through the Activity Tracker Frankfurt (eu-de) instance 
 User management Events are available through the Activity Tracker Frankfurt (eu-de) instance 
 Provisioning Events are available through the Activity Tracker Frankfurt (eu-de) instance 
 IBM Cloud® Identity and Access Management Events are available through the Activity Tracker Frankfurt (eu-de) instance 
 Security and Compliance Center Events are available through the Activity Tracker Frankfurt (eu-de) instance 
 Global Search Service Events are available through the Activity Tracker Frankfurt (eu-de) instance 
 Catalog Management Events are available through the Activity Tracker Frankfurt (eu-de) instance 
 Trusted profiles Events are available through the Activity Tracker Frankfurt (eu-de) instance 
 Context-based restrictions Events are available through the Activity Tracker Frankfurt (eu-de) instance 
 Projects Events are available through the Activity Tracker Frankfurt (eu-de) instance 







 Database services 

The following tables list the locations where automatic collection of database service logs is enabled. You can monitor logs through the instance that is available in the same location as your database resources, if you enable 1 instance in this location to host service platform logs. For locations where you can provision a service instance but the IBM Cloud Activity Tracker service is not available, specific detail about the location where you can monitor those logs is provided in each case.

America

Asia Pacific

Europe



Table 7. Database services integration in America locations

 Service Dallas (us-south) Washington (us-east) Toronto (ca-tor) Sao Paulo (br-sao) 

 IBM Cloudant ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) !
index("min_length", doc.min_length, {"store": true});
}

Use a generic guard clause test to ensure that the type of the candidate data field is defined.

See the following example of a "generic" guard clause:

if (typeof doc.min_length) !== 'undefined') {
// The field exists, and does have a type, so we can proceed to index using it.
...
}







 Analyzers 

Analyzers are settings that define how to recognize terms within text. For more information, see [Search analyzers](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-search-analyzers).

Analyzers can be helpful if you need to [index multiple languages](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-cloudant-searchlanguage-specific-analyzers).

The following table shows a list of generic analyzers that are supported by IBM Cloudant search:



Table 2. Generic analyzers

 Analyzer Description 

 classic The standard Lucene analyzer, circa version 3.1. 
 email Like the standard analyzer, but tries harder to match an email address as a complete token. 
 keyword Input isn't tokenized at all. 
 simple Divides text at nonletters. 
 standard The default analyzer. It implements the Word Break rules from the [Unicode™ text segmentation algorithm)](https://www.unicode.org/reports/tr29/). 
 whitespace Divides text at white-space boundaries. 



See the following example analyzer document:

{
"_id": "_design/analyzer_example",
"indexes": {
"INDEX_NAME": {
"index": "function (doc) { ... }",
"analyzer": "$ANALYZER_NAME"
}
}
}



 Language-specific analyzers
"_rev": "1-f3751e2db1d92e13b0baa6bdeb874c8c",
"simplekey": "somedata"
}
}
]
},
{
"id": "doc03",
"docs":
{
"ok": {
"_id": "doc03",
"_rev": "2-d4fc04ef748edf305a8c0ed347f269c4",
"simplekey": "somemoredata"
}
}
]
}
]
}
Show more
"rev":"1-0cde94a828df5cdc0943a10f3f36e7e5"
},
{
"ok":true,
"id":"d1f61e66-7708-4da6-aa05-7cbc33b44b7e",
"rev":"1-a2b6e5dac4e0447e7049c8c540b309d6"
}
]
Show more





 Inserting documents in bulk 

To insert documents in bulk into a database, you need to supply a JSON structure with the array of documents that you want to add to the database. You can either include a document ID for each document, or allow the document ID to be automatically generated.

See an example JSON for a bulk insert of three documents:

{
"docs": [
{
"name": "Nicholas",
"age": 45,
"gender": "male",
"_id": "96f898f0-f6ff-4a9b-aac4-503992f31b01",
"_attachments": {

}
},
{
"name": "Taylor",
"age": 50,
"gender": "male",
"_id": "5a049246-179f-42ad-87ac-8f080426c17c",
"_attachments": {

}
},
{
"name": "Owen",
"age": 51,
"gender": "male",
"_id": "d1f61e66-7708-4da6-aa05-7cbc33b44b7e",
"_attachments": {

}
}
]
}
Show more
Each type below is linked to more information.



* An [Identifier](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typesidentifier) field contains a string value uniquely identifying a resource.
* A [Boolean](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typesboolean) field contains a true or false value.
* An [Integer](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typesinteger) field contains a whole number.
* A [Float](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typesfloat) field contains a number that could have a decimal point or scientific notation.
* A [String](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typesstring) field contains a free-form string.
* A [Date](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typesdate) field contains a specifically-formatted date string.
* A [Date/Time](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typesdatetime) field contains a specifically-formatted date and time string.
* A [CRN](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typescrn) field contains a Cloud Resource Name.
* An [Enumeration](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typesenumeration) field contains one of a predefined set of lower snake case strings.
* A [Model](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typesmodel) field contains a nested object. This object must be an instance of a specific model; the field's definition must specify this model.
This work contains a scan of every document for any arrays, and creating a field to hold the length for each array found.

You might prefer to set the index_array_lengths field to false in the following situations:



* You don't need to know the length of an array.
* You don't use the $size operator.
* The documents in your database are complex, or not completely under your control. As a result, it's difficult to estimate the impact of the extra processing that is needed to determine and store the array lengths.



The $size operator requires that you set the index_array_lengths field to true. Otherwise, the operator can't work.

See the following example JSON document with suggested settings to optimize performance on production systems:

{
"default_field": {
"enabled": false
},
"index_array_lengths": false
}





 The partitioned field 

This field determines whether the created index is a partitioned or global index.



Table 6. Partitioned field values

 Value Description Notes 

 true Create the index as partitioned. Can be used only in a partitioned database. 
 false Create the index as global. Can be used in any database. 



The default follows the partitioned setting for the database:



Table 7. Partitioned settings for the database

 Is the database partitioned? Default partitioned value Allowed values 

 Yes true true, false 
 No false false
But if we select the checkbox for the Reduce function from the Options pull-down menu, the index aggregates the results, grouping by key (year).](https://cloud.ibm.com/docs-content/v1/content/522c6f62358b063f921283400a601c3f9bc66f08/Cloudant/images/indexingdashboard7.png)

Figure 5. Windows for running queries

See an example result from after the index aggregated the results.

Zoom

![See index aggregated results.](https://cloud.ibm.com/docs-content/v1/content/522c6f62358b063f921283400a601c3f9bc66f08/Cloudant/images/indexingdashboard8.png)

Figure 6. Result set

MapReduce views are perfect for generating ordered views of your data, containing key/value pairs that you define. They can be used for selecting individual keys, range queries, or aggregation grouping by the key.



For more information, see the following resources from IBM Cloudant documentation:



* [MapReduce blog](https://blog.cloudant.com/2011/01/13/mapreduce-from-the-basics-to-the-actually-useful.html)
* [MapReduce documentation](https://cloud.ibm.com/docs/Cloudant?topic=Cloudant-creating-views-mapreduce)