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34 changes: 34 additions & 0 deletions source/data-formats.txt
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.. _ruby-data-formats:

============
Data Formats
============

.. contents:: On this page
:local:
:backlinks: none
:depth: 2
:class: singlecol

.. facet::
:name: genre
:values: reference

.. meta::
:description: Learn how to use indexes by using the MongoDB Ruby Driver.
:keywords: ruby, query, collections, time series

.. toctree::
:titlesonly:
:maxdepth: 1

Time Series Data </data-formats/time-series>

Overview
--------

You can use several types of specialized data formats in your {+driver-short+}
application. To learn how to work with these data formats, see the following
sections:

- :ref:`ruby-time-series`: Learn how to create a time series collection and interact with time series data.
202 changes: 202 additions & 0 deletions source/data-formats/time-series.txt
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.. _ruby-time-series:

================
Time Series Data
================

.. facet::
:name: genre
:values: reference

.. meta::
:keywords: ruby, time series, collections

.. contents:: On this page
:local:
:backlinks: none
:depth: 2
:class: singlecol

Overview
--------

In this guide, you can learn how to use {+driver-short+} to store
and interact with **time series data**.

Time series data is composed of the following components:

- Measured quantity
- Timestamp for the measurement
- Metadata that describes the measurement

The following table describes sample situations for which you could store time
series data:

.. list-table::
:widths: 33, 33, 33
:header-rows: 1
:stub-columns: 1

* - Situation
- Measured Quantity
- Metadata

* - Recording monthly sales by industry
- Revenue in USD
- Company, country

* - Tracking weather changes
- Precipitation level
- Location, sensor type

* - Recording fluctuations in housing prices
- Monthly rent price
- Location, currency

.. _ruby-time-series-create:

Create a Time Series Collection
-------------------------------

.. important:: Server Version for Time Series Collections

To create and interact with time series collections, you must be
connected to a deployment running {+mdb-server+} 5.0 or later.

To create a time series collection, you must pass an options hash that contains
the specifications for the collection. You can specify the following specifications
for your time series collection:

- ``:timeField``: Specifies the field that stores a timestamp in each time series
document.
- ``:metaField``: Specifies the field that stores metadata in each time series
document.
- ``:granularity``: Specifies the approximate time between consecutive timestamps.
The possible values are ``'seconds'``, ``'minutes'``, and ``'hours'``.
- ``:bucketMaxSpanSeconds``: Sets the maximum time between timestamps in the
same bucket.
- ``:bucketRoundingSeconds``: Sets the number of seconds to round down by when
MongoDB sets the minimum timestamp for a new bucket. Must be equal to
``:bucketMaxSpanSeconds``.

See :manual:`Command Fields </reference/command/create/#command-fields>`
in the {+mdb-server+} manual entry on the ``create`` command to learn more about
these parameters.

Example
~~~~~~~

The following example uses the ``Collection#create`` method to create a time series
collection named ``october2024`` with the ``:timeField``` option set to ``"timestamp"``:

.. literalinclude:: /includes/usage-examples/time-series.rb
:language: ruby
:dedent:
:start-after: start-create
:end-before: end-create

To verify that you have successfully created the collection, print a list of all
collections in your database and filter by collection name, as shown in the following
code:

.. io-code-block::

.. input:: /includes/usage-examples/time-series.rb
:language: ruby
:start-after: start-correct
:end-before: end-correct
:dedent:

.. output::
:language: json
:visible: false

[
{
"name": "october2024",
"type": "timeseries",
"options": {
"timeseries": {
"timeField": "timestamp",
"granularity": "seconds",
"bucketMaxSpanSeconds": 3600
}
},
"info": {
"readOnly": false
}
}
]


.. _ruby-time-series-write:

Store Time Series Data
----------------------

You can insert data into a time series collection by using the ``insert_one``
or ``insert_many`` method and specifying the measurement, timestamp, and
metadata in each inserted document.

To learn more about inserting documents, see the :ref:`ruby-write-insert` guide.

Example
~~~~~~~

This example inserts New York City temperature data into the ``october2024``
time series collection created in the preceding :ref:`ruby-time-series-create`.
section. Each document contains the following fields:

- ``temperature``, which stores temperature measurements in degrees Fahrenheit
- ``location``, which stores location metadata
- ``timestamp``, which stores the measurement timestamp

.. literalinclude:: /includes/usage-examples/time-series.rb
:language: ruby
:dedent:
:start-after: start-insert
:end-before: end-insert

.. TODO: add link

.. .. tip:: Formatting Dates and Times

.. To learn more about using ``datetime`` objects in {+driver-short+}, see
.. :ref:`ruby-dates-times`.

.. _ruby-time-series-read:

Query Time Series Data
----------------------

You can use the same syntax and conventions to query data stored in a time
series collection as you use when performing read or aggregation operations on
other collections.

.. TODO: add links
.. To learn more about these operations, see :ref:`ruby-read`
.. and :ref:`ruby-aggregation`.

.. _ruby-time-series-addtl-info:

Additional Information
----------------------

To learn more about the concepts in this guide, see the following {+mdb-server+}
manual entries:

- :manual:`Time Series </core/timeseries-collections/>`
- :manual:`Create and Query a Time Series Collection </core/timeseries/timeseries-procedures/>`
- :manual:`Set Granularity for Time Series Data </core/timeseries/timeseries-granularity/>`

API Documentation
~~~~~~~~~~~~~~~~~

To learn more about the methods mentioned in this guide, see the following
API documentation:

- `create <{+api-root+}/Mongo/Collection.html#create-instance_method>`__
- `list_collections <{+api-root+}/Mongo/Database.html#list_collections-instance_method>`__
- `insert_one <{+api-root+}/Mongo/Collection.html#insert_one-instance_method>`__
- `insert_many <{+api-root+}/Mongo/Collection.html#insert_many-instance_method>`__

36 changes: 36 additions & 0 deletions source/includes/usage-examples/time-series.rb
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require 'bundler/inline'
gemfile do
source 'https://rubygems.org'
gem 'mongo'
end

Mongo::Client.new(uri) do |client|

# start-create
client = Mongo::Client.new(['<connection string>'], database: 'weather')
collection_name = 'october2024'

time_series_options = { timeField: 'timestamp' }
database = client.database
database.command(
create: collection_name,
timeseries: time_series_options
)
# end-create

# start-correct
collections = database.list_collections(filter: { name: 'october2024' }).to_a
puts collections
# end-correct

# start-insert
client = Mongo::Client.new(['<connection string>'], :database => 'your_db')
collection = client[:october2024]

document_list = [
{ temperature: 77, location: "New York City", timestamp: DateTime.new(2024, 10, 22, 6, 0, 0) },
{ temperature: 74, location: "New York City", timestamp: DateTime.new(2024, 10, 23, 6, 0, 0) }
]

collection.insert_many(document_list)
#end-insert
7 changes: 7 additions & 0 deletions source/index.txt
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Expand Up @@ -17,6 +17,7 @@
Write Data </write>
Read Data </read>
Indexes </indexes>
Data Formats </data-formats>
View the Source <https://github.com/mongodb/mongo-ruby-driver>
API Documentation <{+api-root+}>
What's New </whats-new>
Expand Down Expand Up @@ -90,6 +91,12 @@ working with data in the :ref:`ruby-get-started` tutorial.
.. Learn how to authenticate your application and encrypt your data in the
.. :ref:`ruby-security` section.

Specialized Data Formats
------------------------

Learn how to work with specialized data formats and custom types in the
:ref:`ruby-data-formats` section.

What's New
----------

Expand Down
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