The Search/Retrieve Web Service is a powerful tool for accessing and manipulating data on the web. It's a standard protocol that allows you to search and retrieve information from databases and websites.
This service is based on the Z39.50 protocol, which has been around since the 1990s. The protocol has undergone several revisions, with the latest version being Z39.50-2002.
The Search/Retrieve Web Service is designed to be a flexible and adaptable solution for searching and retrieving data. It can be used with various data formats, including MARC, Dublin Core, and MODS.
One of the key benefits of this service is its ability to handle complex queries. You can use it to search for specific information, such as a book's title, author, or publication date.
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Search Service
To use the Search/Retrieve Web Service, you'll need to understand the different operations it supports. The SRU protocol model defines three operations: SearchRetrieve, Scan, and Explain.
The SearchRetrieve operation is the core of the SRU protocol, allowing clients to search and retrieve data from a server. It's defined by a SearchRetrieve request from the client to the server, followed by a SearchRetrieve response from the server to the client.
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The SRU2.0 Discovery and Description Model is implemented via the Explain Operation, which provides information about the server's capabilities. This allows clients to self-configure and provide an appropriate interface to the user.
Here are the three SRU operations, summarized:
- SearchRetrieve: Search and retrieve data from a server
- Scan: Iterate through available search terms
- Explain: Retrieve information about the server's capabilities
These operations are the foundation of the SRU protocol, allowing clients to interact with servers in a standardized way. By understanding these operations, you can take advantage of the power of the Search/Retrieve Web Service.
Schemas
Schemas are a crucial part of the Search Service, allowing for the standardization and structure of data. They define the format for different types of responses, making it easier for developers to work with the service.
The Search Service uses several schemas, each with its own specific purpose. For example, schema 1 is used for SRU (Search/Retrieve via URL) responses. This is the default format for an SRU response.
Here are some of the schemas used by the Search Service:
Each schema has its own specific purpose, and they all work together to provide a standardized and structured way of working with the Search Service.
Query Parameters
Query Parameters are used to pass additional information to the Search Service. This information can be used to filter search results or customize the search experience.
In our Search Service, query parameters can be used to specify a specific language for search results. For example, setting the "lang" parameter to "es" will return search results in Spanish.
The Search Service also supports pagination through query parameters. By setting the "page" parameter, you can specify which page of results to return.
You can also use query parameters to filter search results by a specific date range. By setting the "start_date" and "end_date" parameters, you can return search results that fall within a specific time period.
The Search Service uses query parameters to determine which fields to return in the search results. For example, setting the "fields" parameter to "title,description" will return only the title and description fields in the search results.
Query parameters can be used to specify a specific type of search to perform, such as a keyword search or a faceted search.
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OpenSearch
The OpenSearch binding is intended to be fully compatible with the OpenSearch 1.1 specification, which is available on the OpenSearch website.
OpenSearch is a standard for search engine results pages, and the binding is designed to work seamlessly with it. This means you can expect high-quality results and a smooth user experience.
The OpenSearch binding is built on top of the OpenSearch 1.1 Draft 5 specification, which provides a robust framework for search functionality.
Sru1.2
SRU1.2 is a web service protocol that was developed as a replacement for the NISO Z39.50 protocol.
It's defined in the SRU1.2 binding, which is compatible with the specification at http://www.loc.gov/standards/sru/specs/.
The SRU1.2 binding is also defined in the "searchRetrieve: Part 2. SRU searchRetrieve Operation: APD Binding for SRU 1.2 Version 1.0" document.
SRU1.2 supported the ability to iterate through search terms using the Scan operation.
The Scan operation is defined in the "searchRetrieve: Part 6. SRU Scan Operation version 1.0" document.
The SRU1.2 Query Model is defined to be the Contextual Query Language, which is defined in the "searchRetrieve: Part 5. CQL: The Contextual Query Language version 1.0" document.
Here are the three operations defined as part of the SRU1.2 Processing Model:
- SearchRetrieve Operation: This operation consists of a SearchRetrieve request from client to server followed by a SearchRetrieve response from server to client.
- Scan Operation: This operation consists of a Scan request followed by a Scan response, allowing clients to iterate through available search terms.
- Explain Operation: This operation is used to retrieve an Explain document, which provides information about the server's capabilities and can be used to self-configure the client.
The Explain Operation is defined in the "searchRetrieve: Part 7. SRU Explain Operation version 1.0" document as part of the SRU2.0 Discovery and Description Model.
Sru 2.0
SRU 2.0 is a revised specification of the SRU protocol that includes many enhancements to SRU 1.2.
SRU 2.0 is defined in the document "searchRetrieve: Part 2. SRU searchRetrieve Operation: APD Binding for SRU 1.2 Version 1.0".
The base SRU 2.0 binding is defined in this document, which provides a foundation for the protocol.
SRU 2.0 supports the ability to iterate through search terms using the Scan operation, which is defined in a separate document.
The SRU 2.0 Query Model is defined to be the Contextual Query Language, which is defined in another document.
Search Protocols
The core of the Search/Retrieve Web Service (SWS) document collection is the Abstract Protocol Definition (APD), which is described in the APD document.
The APD serves as the foundation for the SWS, making it a crucial component of the service. It's like the blueprint for a building, providing a clear understanding of how the service works.
Three bindings of the APD are described in the SWS document collection: SRU1.2, SRU2.0, and OpenSearch. These bindings offer different ways to implement the APD, allowing for flexibility and adaptability.
Other protocols for search can be described in terms of the APD, making it a versatile tool for various search applications. By using the APD as a reference point, developers can create new search protocols that build upon the existing foundation.
The Explain and CQL components, while essential to SRU, can also be used independently of SRU by other protocols and bindings. This highlights the APD's ability to facilitate collaboration and reuse across different search services.
Request and Response
The Search/Retrieve Web Service is built around two primary components: the request and the response. A request to the service can be made in various ways, such as GET or POST, and can target a specific index or all indices.
The request body can include a date format for date fields, a DecimalFormat pattern for numeric fields, and a PIT (Point in Time) object to limit the search to a specific time. You can also define runtime fields in the search request, which take precedence over mapped fields with the same name.
The response body contains a scroll ID that can be used with the scroll API to retrieve the next batch of search results, as well as the time it took Elasticsearch to execute the request. The response also includes metadata about the number of matching documents, such as the total number of documents and the number of documents returned.
Here are the possible types of field types you can specify in the request:
- boolean
- composite
- date
- double
- geo_point
- ip
- keyword
- long
- lookup
Response Body
The response body of a request is where the real magic happens. It's the part of the response that contains the actual data you're looking for.
The response body can include a scroll ID, which you can use with the scroll API to retrieve the next batch of search results for the request.
The scroll ID is only returned if the scroll query parameter is specified in the request. If it is, you can use it to fetch more results without having to send another full query.
The response body also includes a took parameter, which measures the time it took Elasticsearch to execute the request. This value is calculated by measuring the time elapsed between receipt of a request on the coordinating node and the time at which the coordinating node is ready to send the response.
Here's a breakdown of what the took time includes:
- Communication time between the coordinating node and data nodes
- Time the request spends in the search thread pool, queued for execution
- Actual execution time
And here's what it doesn't include:
- Time needed to send the request to Elasticsearch
- Time needed to serialize the JSON response
- Time needed to send the response to a client
The response body also includes a hits object, which contains returned documents and metadata. The hits object itself includes several properties, including the number of matching documents, which is indicated by the total property.
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The total property can be an accurate count of the matching documents, or it can be a lower bound, indicated by the relation property. If the request does not sort by _score, the relation property will be null.
Finally, the response body includes an array of returned document objects, which can be customized using the _source parameter to exclude certain properties or specify which source fields to return.
Frequently Asked Questions
What is sru search?
SRU search is a standardized protocol for searching data using a specific query language, allowing for efficient and precise retrieval of information. It uses CQL, a standardized syntax for crafting queries, to facilitate effective search operations.
Sources
- http://docs.oasis-open.org/search-ws/searchRetrieve/v1.0/searchRetrieve-v1.0-part0-overview.html
- https://stackoverflow.com/questions/9880761/webservice-retrieval-methods
- https://support.google.com/websearch/answer/54068
- https://www.elastic.co/guide/en/elasticsearch/reference/current/search-search.html
- https://cloud.google.com/vertex-ai/docs/vector-search/overview
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