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Optimizing Performance of RavenDB's Indexing Process

Oren Eini user avatar by
Oren Eini
·
Apr. 20, 12 · Interview
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The actual process done by RavenDB to index documents is a fairly complex one. In order to understand what exactly happened, I decided to break it apart to pseudo code.

It looks something like this:

<span class="kwrd">while</span> database_is_running:
  stale = find_stale_indexes()
  lastIndexedEtag = find_last_indexed_etag(stale)
  docs_to_index = get_documents_since(lastIndexedEtag, batch_size)
  
  filtered_docs = execute_read_filters(docs_to_index)
  
  indexing_work = []
  
  <span class="kwrd">for</span> index <span class="kwrd">in</span> stale:
    
    index_docs = select_matching_docs(index, filtered_docs)
    
    <span class="kwrd">if</span> index_docs.empty:
      set_indexed(index, lastIndexedEtag)
    <span class="kwrd">else</span>
      indexing_work.add(index, index_docs)
      
  <span class="kwrd">for</span> work <span class="kwrd">in</span> indexing_work:
  
     work.index(work.index_docs)

And now let me show you the areas in which we did some perf work:

All of which gives us a major boost in the system performance. I’ll discuss each part of that work in detail, don’t worry 

Boost (C++ libraries) Document

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