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As it turns out EclipseLink is less efficient than Kundera in handling the more complex query.
First, we evaluate the case where we retrieve a single result with a more complex query.
Additionally for the ONDMs, we observe an increase in read overhead for the more complex query on the single node for Kundera and Eclipselink.
By comparison to Query B, which retrieves a single object on the primary key, we can determine the impact of a more complex query text translation.
Surprisingly, Hibernate OGM's absolute overhead on the remote node is 309μ s for the more complex Query C, while for the simple search (Query B) on primary key this was 1.607μ s.
If, however, the user wishes to run a more complex query, they must first select from a series of 'Search Criteria', which serve to qualify and refine the scope of the query, and are described in Table 1.
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Google on Thursday announced one of the biggest changes to its search engine, a rewriting of its algorithm to handle more complex queries that affects 90 percent of all searches.
This allows for more complex queries.
But some of these more complex queries really are.
More complex queries are subgraph and supergraph queries.
This includes things like more tweets per request, higher rate limits, and more complex queries.
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more complex questions
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more limited query
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more interesting query
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CEO of Professional Science Editing for Scientists @ prosciediting.com