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DOCSP-26448 Replace Text Indexes-YAML Docs (#2292)
* DOCSP-26448 replace docs * fix broken ref * fix another broken ref * removed extra link
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source/core/data-model-operations.txt

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@@ -245,7 +245,7 @@ Data Lifecycle Management
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Data modeling decisions should take data lifecycle management into
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consideration.
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The :doc:`Time to Live or TTL feature </tutorial/expire-data>` of
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The :ref:`Time to Live or TTL feature <ttl-collections>` of
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collections expires documents after a period of time. Consider using
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the TTL feature if your application requires some data to persist in
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the database for a limited period of time.

source/core/index-creation.txt

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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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For indexes that enforce constraints on the collection, such as
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:doc:`unique </core/index-unique>` indexes, the :binary:`~bin.mongod`
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:ref:`unique <index-type-unique>` indexes, the :binary:`~bin.mongod`
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checks all pre-existing and concurrently-written documents for
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violations of those constraints *after* the index build completes.
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Documents that violate the index constraints can exist during the index

source/core/index-multikey.txt

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Unique Multikey Index
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---------------------
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For :doc:`unique </core/index-unique>` indexes, the unique constraint
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For :ref:`unique <index-type-unique>` indexes, the unique constraint
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applies across separate documents in the collection rather than within
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a single document.
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source/core/index-unique.txt

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@@ -248,7 +248,7 @@ You cannot specify a unique constraint on a :ref:`hashed index
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<index-type-hashed>`.
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For a ranged sharded collection, only the following indexes can be
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:doc:`unique </core/index-unique>`:
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:ref:`unique <index-type-unique>`:
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- the index on the shard key
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source/core/inmemory.txt

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@@ -81,7 +81,7 @@ In-memory storage engine requires that all its data (including indexes,
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oplog if :binary:`~bin.mongod` instance is part of a replica set, etc.) must
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fit into the specified :option:`--inMemorySizeGB <mongod --inMemorySizeGB>` command-line option
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or :setting:`storage.inMemory.engineConfig.inMemorySizeGB` setting in
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the :doc:`YAML configuration file </reference/configuration-options>`.
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the :ref:`YAML configuration file <configuration-options>`.
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.. include:: /includes/fact-inmemory-storage-engine-default-ram.rst
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source/core/journaling.txt

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@@ -25,7 +25,7 @@ Journaling and the WiredTiger Storage Engine
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The *log* mentioned in this section refers to the WiredTiger
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write-ahead log (i.e. the journal) and not the MongoDB log file.
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:doc:`WiredTiger </core/wiredtiger>` uses :ref:`checkpoints
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:ref:`WiredTiger <storage-wiredtiger>` uses :ref:`checkpoints
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<storage-wiredtiger-checkpoints>` to provide a consistent view of data
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on disk and allow MongoDB to recover from the last checkpoint. However,
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if MongoDB exits unexpectedly in between checkpoints, journaling is

source/core/retryable-writes.txt

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Supported Storage Engine
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Retryable writes require a storage engine supporting document-level
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locking, such as the :doc:`WiredTiger </core/wiredtiger>` or
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locking, such as the :ref:`WiredTiger <storage-wiredtiger>` or
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:doc:`in-memory </core/inmemory>` storage engines.
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3.6+ MongoDB Drivers

source/core/security-ldap.txt

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Include any other configuration file settings required for your
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deployment. For complete documentation on configuration files, see
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:doc:`YAML configuration file </reference/configuration-options>`.
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:ref:`YAML configuration file <configuration-options>`.
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You need to create or update the ``saslauthd.conf`` file with the parameters
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appropriate for your LDAP server. Documenting ``saslauthd.conf`` is out

source/core/sharding-shard-key.txt

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of the shard key.
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For a ranged sharded collection, only the following indexes can be
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:doc:`unique </core/index-unique>`:
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:ref:`unique <index-type-unique>`:
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- the index on the shard key
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source/core/storage-engines.txt

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.. include:: /includes/fact-4.2-mmapv1-removed.rst
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|arrow| WiredTiger Storage Engine (*Default*)
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:doc:`WiredTiger </core/wiredtiger>` is the default storage engine
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:ref:`WiredTiger <storage-wiredtiger>` is the default storage engine
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starting in MongoDB 3.2. It is well-suited for most workloads and is
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recommended for new deployments. WiredTiger provides a
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document-level concurrency model, checkpointing, and compression,

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