@@ -572,8 +572,8 @@ To create a new query plan, the query optimizer:
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1. runs the query against several candidate indexes in parallel.
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- #. The query optimizer records the matches in a common results buffer
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- or buffers:
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+ #. records the matches in a common results buffer
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+ or buffers.
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- If the candidate plans include only :term:`ordered query plans
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<ordered query plan>`, there is a single common results buffer.
@@ -916,13 +916,13 @@ For more information on the aggregation framework see
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Additionally, MongoDB provides a number of simple data aggregation
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operations for more basic data aggregation operations:
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- - :method:`count() < cursor.count()> `
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+ - :method:`~ cursor.count()`
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- - :dbcommand:` distinct() <distinct> `
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+ - :method:`~db.collection. distinct()`
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- - :method:`group()`
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+ - :method:`~db.collection. group()`
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- - :dbcommand:` mapReduce() <mapReduce> ` (See also
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+ - :method:`~db.collection. mapReduce()` (See also
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:doc:`/applications/map-reduce`.)
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.. index:: read operation; architecture
@@ -939,7 +939,7 @@ Read Operations From Sharded Clusters
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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:term:`Sharded clusters <sharded cluster>` allow you to partition a
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- data set among a cluster of program:`mongod` in a way that is nearly
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+ data set among a cluster of : program:`mongod` in a way that is nearly
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transparent to the application. See the :doc:`/sharding` section of
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this manual for additional information about these deployments.
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