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The Search feature of the Microsoft Sharepoint server not only makes it possible to search through content, documents, and people within the SharePoint sites, but also through external sources such as Windows file shares, public Microsoft Exchange server folders, and standard web sites.

The Archival and Schema plugins are internal components of the Microsoft Sharepoint server Search engine, typically responsible for processing the metadata of indexed documents. By monitoring these components, administrators can efficiently evaluate how well the Microsoft Sharepoint server search feature is functioning, identify irregularities early, and fine-tune the Microsoft Sharepoint server to ensure peak performance of the search engine. The Office Server Search Archival Plugin focuses on the archival plugin component, and helps assess its processing ability.

Measurement	Description	Measurement Unit	Interpretation
Available_queues	Indicates the number of upload queues that are available to filtering threads in this plugin.	Number
Committing_queues	Indicates the number of queues that are exclusively allotted for committing the changes and completing the uploads.	Number
Waiting_queues	Indicates the number of queues that are waiting to flush data to the property store.	Number	A property store is a table of properties and their values that arre used and maintained by the Search service. Each row in the table corresponds to a document in the full-text index.
Filtering_queues	Indicates the number of queues that are being used by the filter threads in this plugin.	Secs
Bulk_insert_sessions	Indicates the number of active bulk insert sessions to the database server.	Number
Documents_processed	Indicates the number of documents that are processed in this plugin during the last measurement period.	Number	A high value is desired for this measure. If the value decreases steadily over a period of time, it indicates a performance bottleneck.
Retried_documents	Indicates the number of documents that were marked for retry from this plugin during the last measurement period.	Number	Ideally the value of this measure should be low. A higher value may indicate a performance bottleneck.
Documents_blocked	Indicates the number of documents that were waiting for a queue during the last measurement period.	Number	Ideally the value of this measure should be low. A higher value may indicate a performance bottleneck.