This document summarizes key features and components of Azure Search, a fully-managed cloud search service. It outlines Azure Search's rich search capabilities including full text search, facets, filters, spelling correction, type-ahead suggestions and geospatial search. It also describes how to connect various data sources, configure indexes and indexers, and perform search queries. Development platforms and pricing models are also briefly mentioned.

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Karthik Jambulingam

3. Hit Highlight
Full Text Search
Wildcard Search
Synonyms
Ranking

4. Facets
Filters

5. Spelling Correction
Scoped Search
Type-ahead

6. Paging
Sorting/ Relevance
Facets

8. Geospatial

9. Search Experience Is Important…
Visitors abandon a site due to
poor search experience
Customers like to discover
products through search
Revenue driven by site search

10. Search Experience Is Important…
Discover more
Buy more
Self serve with ease
Serve customers better
Do more
Highly productive
Higher customer satisfaction
More conversion
Less operation cost

12. Azure Search
Fully-managed service
Standup and run quickly
Highly available – 99.9% SLA
High performance / reduced latency
Analytics – Monitoring and Reporting
Rich search capabilities
Apache Lucene framework
Microsoft Natural language processor
Simplicity and Flexibility
Various data sources
Portal, REST API, SDKs

13. Azure Search Components
Desktop
Mobile
Web
API
Azure Search Service
Data
Source
IndexerIndex
Azure Storage

14. Supported Data Sources

15. Development Platforms
• Central management
• Setup resources
• Prototype
• Search Explorer
• Service administration
• Index management operations
• Document operations
• Indexer Operations
• Index management operations
• Document operations
• Indexer Operations

17. Azure Search Service
Search EngineQuery Parsers
Application
Interface
AnalyzersIntent
OData
Expression
(Query)
Query
Terms
Analyzed
Tokens
Results
Search Processing
• Full (Lucene)
Or
• Simple
Lexical Analysis
• Char Filters
• Word Break
• Lower Case
• Ascii folding
• Wildcard
• Diacritics
• Custom Analyzers
• Document Retrieval
• Scoring
• .NET SDK
Or
• REST API

18. Search Parameters
SearchIndexClient indexClient = new SearchIndexClient("SearchServiceName", "IndexName", new SearchCredentials("Api-key"));
var searchParameters = new SearchParameters()
{
QueryType = QueryType.Full, // or Simple
SearchFields = new[] { "Category", "description", "Color", "ListPrice" },
Filter = "(Color eq 'Black' or search.in(Size, '52,48')) and Suppliers/any(s: s eq '103|Orange Inc')",
Facets = new[] { "Category", "Color", "Size" },
IncludeTotalResultCount = true,
HighlightPreTag = "<b>",
HighlightPostTag = "</b>",
HighlightFields = new[] { "description" },
ScoringProfile = "DefaultRelevancy",
OrderBy = new[] { "ListPrice" },
Top = 10,
Skip = 30
};
var searchResults = indexClient.Documents.Search<ProductSearchResult>("aluminium alloy", searchParameters);

19. Supported Data Types
• Edm.String
• Collection(Edm.String)
• Edm.Boolean
• Edm.DateTimeOffset
• Edm.GeographyPoint
EDM Data Types
• Edm.Boolean
• Edm.Int32
• Edm.Int64
• Edm.Double

21. Index Builder
Keep it separate
Automate
Deploy ahead of time
No swap, stage index
Use portal for drop
Azure Search Service
Data
Source
IndexerIndex
Index Builder
2 3 1

22. Incremental Indexing
ISearchIndexClient indexClient =
serviceClient.Indexes.GetClient("myshopproducts");
var actions =
new IndexAction<Product>[]
{
IndexAction.Upload(
new Product()
{
ProductID = "709",
ListPrice = 199.0,
Description = "Combination ….
Category = "Socks",
ModelName = "Mountain Bike Socks",
...
}),
IndexAction.Upload(
new Product()
{
...
var batch = IndexBatch.New(actions);
indexClient.Documents.Index(batch);
Azure Search Service
Data
Source
IndexerIndex
The Process
Incremental Update
Azure Storage

23. Suggester / Type-ahead
{
"name": "myshopproducts",
"fields": [
. . .
],
"suggesters": [
{
"name": "product-name-suggester",
"searchMode": "analyzingInfixMatching",
"sourceFields": ["ProductName"]
}
],
"scoringProfiles": [
. . .
]
}

24. Scalability

25. Pricing