Collection of minor copy edits for typos and style

source/administration/production-notes.txt

@@ -408,7 +408,7 @@ here:
    get some reporting back of its occurrence.
 
 #. Or, if you want to fail over manually, you can set your secondaries
-   to ``priority:0`` in their configuration. Then manual action would be
+   to ``priority:0`` in their configurations. Then manual action would be
    required for a failover. This is practical for a small cluster; for a
    large cluster you will want automation.
 

source/core/aggregation.txt

@@ -250,7 +250,7 @@ Pipeline Sequence Optimization
 .. versionchanged:: 2.4
 
 :term:`Aggregation` operations have an optimization phase which
-attempts to re-arrange the pipeline for improved performance. 
+attempts to re-arrange the pipeline for improved performance.
 
 ``$sort`` + ``$skip`` + ``$limit`` Sequence Optimization
 ````````````````````````````````````````````````````````
@@ -284,7 +284,7 @@ the following:
 ``$limit`` + ``$skip`` + ``$limit`` + ``$skip`` Sequence Optimization
 `````````````````````````````````````````````````````````````````````
 
-When you have continuous sequence of :pipeline:`$limit` pipeline
+When you have a continuous sequence of a :pipeline:`$limit` pipeline
 stage followed by a :pipeline:`$skip` pipeline stage, the
 aggregation will attempt to re-arrange the pipeline stages to combine
 the limits together and the skips together. For example, if the

source/core/replication.txt

@@ -80,7 +80,7 @@ different usage patterns than the other members and require separation
 from normal traffic. Typically, hidden members provide reporting,
 dedicated backups, and dedicated read-only testing and integration
 support.
-  
+
 To configure a member to be a hidden member, see
 :doc:`/tutorial/configure-a-hidden-replica-set-member`.
 
@@ -97,7 +97,7 @@ the latest entry in this member's oplog will not be more recent than
 one hour old, and the state of data for the member will reflect the state of the
 set an hour earlier.
 
-.. example:: If the current time is 09:52 and the secondary is a
+.. example:: If the current time is 09:52 and the secondary is
    delayed by an hour, no operation will be more recent than 08:52.
 
 Delayed members may help recover from various kinds of human error. Such
@@ -147,7 +147,7 @@ interactions with the rest of the replica set:
   documentation :doc:`/tutorial/configure-ssl` for more
   information. As with all MongoDB components, run arbiters on secure
   networks.
-  
+
 To add an arbiter to the replica set, see
 :doc:`/tutorial/add-replica-set-arbiter`.
 
@@ -209,7 +209,7 @@ that member remains available and accessible to a majority of the
 replica set, there will be no rollback.
 
 Rollbacks remove those operations from the instance that were never
-replicated to the set so that the data set is in a consistent state.
+replicated to so that the data set is in a consistent state.
 The :program:`mongod` program writes rolled back data to a :term:`BSON`
 file that you can view using :program:`bsondump`, applied manually
 using :program:`mongorestore`.
@@ -518,7 +518,7 @@ The following factors affect how MongoDB uses space in the oplog:
 - If a significant portion of your workload entails in-place updates.
 
   In-place updates create a large number of operations but do not
-  change the quantity data on disk.
+  change the quantity of data on disk.
 
 If you can predict your replica set's workload to resemble one
 of the above patterns, then you may want to consider creating an oplog
@@ -541,7 +541,7 @@ Replica Set Deployment
 Without replication, a standalone MongoDB instance represents a single
 point of failure and any disruption of the MongoDB system will render
 the database unusable and potentially unrecoverable. Replication
-increase the reliability of the database instance, and replica sets
+increases the reliability of the database instance, and replica sets
 are capable of distributing reads to :term:`secondary` members depending
 on :term:`read preference`. For database work loads dominated by read
 operations, (i.e. "read heavy") replica sets can greatly increase the
@@ -646,7 +646,7 @@ other. The content of the key file is arbitrary but must be the same
 on all members of the replica set and on all :program:`mongos`
 instances that connect to the set.
 
-The key file must be less one kilobyte in size and may only contain
+The key file must be less than one kilobyte in size and may only contain
 characters in the base64 set. The key file must not have group or "world"
 permissions on UNIX systems. Use the following command to use the
 OpenSSL package to generate "random" content for use in a key file:

source/faq/fundamentals.txt

@@ -9,7 +9,7 @@ FAQ: MongoDB Fundamentals
    :local:
 
 This document addresses basic high level questions about MongoDB and
-it's use.
+its use.
 
 If you don't find the answer you're looking for, check
 the :doc:`complete list of FAQs </faq>` or post your question to the

source/reference/command/compact.txt

@@ -85,7 +85,7 @@ compact
 
       :dbcommand:`compact` compacts existing documents, but does not
       reset ``paddingFactor`` statistics for the collection. After the
-      :dbcommand:`compact` MongoDB will use the existing
+      :dbcommand:`compact` operation, MongoDB will use the existing
       ``paddingFactor`` when allocating new records for documents in
       this collection.
 

source/reference/command/replSetSyncFrom.txt

@@ -32,7 +32,7 @@ replSetSyncFrom
    behind the current member, :program:`mongod` will return and log a
    warning, but it still *will* replicate from the member that is behind.
 
-   If you run :method:`rs.syncFrom()` during initial sync, MongoDB
+   If you run :dbcommand:`replSetSyncFrom` during initial sync, MongoDB
    produces no error messages, but the sync target will not change
    until after the initial sync operation.
 

source/reference/glossary.txt

@@ -116,21 +116,21 @@ Glossary
       total data set. In production, all shards should be replica sets.
       See :term:`sharding`.
 
-      .. seealso:: The documents in the :doc:`/sharding` section of manual.
+      .. seealso:: The documents in the :doc:`/sharding` section of this manual.
 
    sharding
       A database architecture that enable horizontal scaling by splitting
       data into key ranges among two or more replica sets. This architecture
       is also known as "range-based partitioning." See :term:`shard`.
 
-      .. seealso:: The documents in the :doc:`/sharding` section of manual.
+      .. seealso:: The documents in the :doc:`/sharding` section of this manual.
 
    sharded cluster
       The set of nodes comprising a :term:`sharded <sharding>` MongoDB deployment. A sharded cluster
       consists of three config processes, one or more replica sets, and one or more
       :program:`mongos` routing processes.
 
-      .. seealso:: The documents in the :doc:`/sharding` section of manual.
+      .. seealso:: The documents in the :doc:`/sharding` section of this manual.
 
    partition
       A distributed system architecture that splits data into ranges.
@@ -268,18 +268,18 @@ Glossary
 
    btree
       A data structure used by most database management systems
-      for to store indexes. MongoDB uses b-trees for its indexes.
+      to store indexes. MongoDB uses b-trees for its indexes.
 
    ISODate
      The international date format used by :program:`mongo`
      to display dates. E.g. ``YYYY-MM-DD HH:MM.SS.milis``.
 
    journal
-      A sequential, binary transaction used to bring the database into
+      A sequential, binary transaction log used to bring the database into
       a consistent state in the event of a hard shutdown. MongoDB
       enables journaling by default for 64-bit builds of MongoDB
       version 2.0 and newer. Journal files are pre-allocated and will
-      exist as three 1GB file in the data directory. To make journal
+      exist as three 1GB files in the data directory. To make journal
       files smaller, use :setting:`smallfiles`.
 
       When enabled, MongoDB writes data first to the journal and then
@@ -371,7 +371,7 @@ Glossary
 
    haystack index
       In the context of :term:`geospatial` queries, haystack indexes
-      enhance searches by creating "bucket" of objects grouped by a second
+      enhance searches by creating "buckets" of objects grouped by a second
       criterion. For example, you might want all geospatial searches
       to first select along a non-geospatial dimension and then match
       on location. See :doc:`/core/geohaystack` for more
@@ -478,13 +478,13 @@ Glossary
 
    shard key
       In a sharded collection, a shard key is the field that MongoDB
-      uses to  distribute documents among members of the
+      uses to distribute documents among members of the
       :term:`sharded cluster`.
 
    hashed shard key
       A :ref:`hashed shard key <index-type-hashed>` is a special type
       of :term:`shard key` that uses a hash of the value in the shard
-      key field is uses to distribute documents among members of the
+      key field to distribute documents among members of the
       :term:`sharded cluster`.
 
    query
@@ -572,8 +572,8 @@ Glossary
       A property of a distributed system requiring that all members
       always reflect the latest changes to the system. In a database
       system, this means that any system that can provide data must
-      reflect the latest writes at all times. In MongoDB, reads to a
-      primary have :term:`strict consistency`; reads to secondary
+      reflect the latest writes at all times. In MongoDB, reads from a
+      primary have :term:`strict consistency`; reads from secondary
       members have :term:`eventual consistency`.
 
    write concern
@@ -672,7 +672,7 @@ Glossary
       .. seealso:: :ref:`Replica Set Failover <replica-set-failover>`.
 
    data-center awareness
-      A property that allows clients to address members in a system to
+      A property that allows clients to address members in a system
       based upon their location.
 
       :term:`Replica sets <replica set>` implement data-center
@@ -695,7 +695,7 @@ Glossary
       ``/etc/rc.d/`` directories.
 
    map-reduce
-      A data and processing and aggregation paradigm consisting of a
+      A data processing and aggregation paradigm consisting of a
       "map" phase that selects data, and a "reduce" phase that
       transforms the data. In MongoDB, you can run arbitrary aggregations
       over data using map-reduce.

source/sharding.txt

@@ -36,7 +36,6 @@ Reference
 - :doc:`/reference/sharding-commands`
 - :doc:`/reference/config-database`
 - :doc:`/reference/program/mongos`
-- :doc:`/reference/config-database`
 
 .. toctree::
    :hidden:

source/tutorial/getting-started.txt

@@ -484,7 +484,7 @@ For more information on querying for documents, see the
 Limit the Number of Documents in the Result Set
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-To increase perfomance, you can constrain the size of the result by
+To increase performance, you can constrain the size of the result by
 limiting the amount of data your application must receive over the
 network.
 

source/tutorial/shard-gridfs-data.txt

@@ -32,7 +32,7 @@ issue commands similar to the following:
 
    db.runCommand( { shardCollection : "test.fs.chunks" , key : { files_id : 1 , n : 1 } } )
 
-You may also want to shard using just the ``file_id`` field, as in 
+You may also want to shard using just the ``file_id`` field, as in
 the following operation:
 
 .. code-block:: javascript
@@ -54,5 +54,5 @@ The default ``files_id`` value is an :term:`ObjectId`, as a result
 the values of ``files_id`` are always ascending, and applications
 will insert all new GridFS data to a single chunk and shard.  If
 your write load is too high for a single server to handle, consider
-a different shard key or use a different value for different value
+a different shard key or use a different value
 for ``_id`` in the ``files`` collection.