chore: test changes to heading levels

.github/workflows/deploy.yml

@@ -28,7 +28,7 @@ jobs:
           repo: timescale/web-documentation
           inputs: '{"branch": "${{ steps.timescale.outputs.DEV_FOLDER }}", "pr_number": "${{ env.PR_NUMBER }}"}'
           token: ${{ secrets.ORG_AUTOMATION_TOKEN }}
-          ref: production-v3
+          ref: bisect-attempt-10
 
       - name: Write comment
         uses: marocchino/sticky-pull-request-comment@efaaab3fd41a9c3de579aba759d2552635e590fd

_partials/_caggs-intro.md → _partials/_cagg-intro.md

@@ -1,11 +1,13 @@
 import RealTimeAgg from 'versionContent/_partials/_real-time-aggregates.mdx';
 
-In modern applications, data usually grows very quickly. This means that aggregating 
+Added content here ...........
+
+In modern applications, data usually grows very quickly. This means that aggregating
 it into useful summaries can become very slow. $CLOUD_LONG continuous aggregates make
-aggregating data lightning fast, accurate, and easy. 
+aggregating data lightning fast, accurate, and easy.
 
 If you are collecting data very frequently, you might want to aggregate your
-data into minutes or hours instead. For example, if an IoT device takes 
+data into minutes or hours instead. For example, if an IoT device takes
 temperature readings every second, you might want to find the average temperature
 for each hour. Every time you run this query, the database needs to scan the
 entire table and recalculate the average.
@@ -26,7 +28,7 @@ Because continuous aggregates are based on hypertables, you can query them in
 exactly the same way as your other tables, and enable [compression][compression]
 or [tiered storage][data-tiering] on them. You can even
 create
-[continuous aggregates on top of your continuous aggregates][hierarchical-caggs]—for an even more fine-tuned aggregation. 
+[continuous aggregates on top of your continuous aggregates][hierarchical-caggs]—for an even more fine-tuned aggregation.
 
 [Real-time aggregation][real-time-aggregation] enables you to combine pre-aggregated data from the materialized view with the most recent raw data. This gives you up-to-date results on every query. <RealTimeAgg />
 

_partials/_caggs-function-support.md

@@ -1,4 +1,7 @@
 
+Add textual content here a u a a b c d e f
+
+
 The following table summarizes the aggregate functions supported in continuous aggregates:
 
 |Function, clause, or feature|TimescaleDB 2.6 and earlier|TimescaleDB 2.7, 2.8, and 2.9|TimescaleDB 2.10 and later|

_partials/_cloud-create-service.md

@@ -1,6 +1,6 @@
 <Procedure>
 
-### Create a Timescale service
+## Create a Timescale service
 
 <ol>
   <li>

_partials/_cloud-installation.md → _partials/_cloud-installation-2.md

@@ -1,18 +1,35 @@
-## Create a $CLOUD_LONG account
+### Create a $CLOUD_LONG account
 
 You create a $CLOUD_LONG account to manage your $SERVICE_SHORTs and data in a centralized and efficient manner in $CONSOLE. From there, you can create and delete $SERVICE_SHORTs, run queries, manage access and billing, integrate other services, contact support, and more.
 
+
+We have more added content here as well.
+
+More addition at 12:19, after the last one, but appears before.
+
+-- Revision to add this 19/05/2025
+
+Removed prev content. :D :D
+
+-- New content at 12:27
+
+What next...
+
+....
+
 <Tabs label="Create a Timescale Cloud account">
 
 <Tab title="Timescale Cloud">
 
 You create a standalone account to manage $CLOUD_LONG as a separate unit in your infrastructure, which includes separate billing and invoicing.
 
+And some content is being added inside...
+
 <Procedure>
 
 To set up $CLOUD_LONG:
-  
-1. **Sign up for a 30-day free trial** 
+
+1. **Sign up for a 30-day free trial**
 
    Open [Sign up for Timescale][timescale-signup] and add your details, then click `Start your free trial`. You receive a confirmation email in your inbox.
 
@@ -34,9 +51,9 @@ You create an account through AWS Marketplace to have $CLOUD_LONG as a part of y
 
 To set up $CLOUD_LONG via AWS:
 
-1. **Open [AWS Marketplace][aws-marketplace] and search for `Timescale Cloud`** 
+1. **Open [AWS Marketplace][aws-marketplace] and search for `Timescale Cloud`**
 
-   You see two pricing options, [pay-as-you-go][aws-paygo] and [annual commit][aws-annual-commit]. 
+   You see two pricing options, [pay-as-you-go][aws-paygo] and [annual commit][aws-annual-commit].
 
 1. **Select the pricing option that suits you and click `View purchase options`**
 
@@ -48,7 +65,7 @@ To set up $CLOUD_LONG via AWS:
 
 1. **Sign up for a 30-day free trial**
 
-   Add your details, then click `Start your free trial`. If you want to link an existing $CLOUD_LONG account to AWS, log in with your existing credentials.  
+   Add your details, then click `Start your free trial`. If you want to link an existing $CLOUD_LONG account to AWS, log in with your existing credentials.
 
 1. **In `Confirm AWS Marketplace connection`, click `Connect`**
 

_partials/_cloud_self_configuration.md

@@ -1,14 +1,14 @@
 import EarlyAccess from "versionContent/_partials/_early_access_2_18_0.mdx";
 
-## Policies
+### Policies
 
-### `timescaledb.max_background_workers (int)`
+## `timescaledb.max_background_workers (int)`
 
 Max background worker processes allocated to TimescaleDB. Set to at least 1 +
 the number of databases loaded with the TimescaleDB extension in a PostgreSQL
 instance. Default value is 16.
 
-## Hypercore features
+### Hypercore features
 
 ### `timescaledb.default_hypercore_use_access_method (bool)`
 
@@ -63,7 +63,7 @@ Enable transparent decompression
 
 
 ### `timescaledb.restoring (bool)`
-Stop any background workers which could have been performing tasks. This is especially useful if you 
+Stop any background workers which could have been performing tasks. This is especially useful if you
 migrate data to your [$SERVICE_LONG][pg-dump-and-restore] or [self-hosted database][migrate-entire].
 
 ### `timescaledb.max_cached_chunks_per_hypertable (int)`

api/continuous-aggregates/index.md

@@ -4,7 +4,7 @@ excerpt: Timescale Cloud API reference for calculating continuous aggregates on
 keywords: [hypertables, chunks]
 ---
 
-import CaggsIntro from "versionContent/_partials/_caggs-intro.mdx";
+import CaggsIntro from "versionContent/_partials/_cagg-intro.mdx";
 
 # Continuous aggregates
 

getting-started/services.md

@@ -5,7 +5,7 @@ products: [cloud, mst, self_hosted]
 content_group: Getting started
 ---
 
-import Install from "versionContent/_partials/_cloud-installation.mdx";
+import Install from "versionContent/_partials/_cloud-installation-2.mdx";
 import Connect from "versionContent/_partials/_cloud-connect-service.mdx";
 import ServiceOverview from "versionContent/_partials/_service-overview.mdx";
 import CloudIntro from "versionContent/_partials/_cloud-intro.mdx";
@@ -23,11 +23,14 @@ To start using $CLOUD_LONG for your data:
 1. [Create a $SERVICE_LONG][create-a-service]: that is, a $PG database instance, powered by [$TIMESCALE_DB][timescaledb], built for production, and extended with cloud features like transparent data tiering to object storage.
 1. [Connect to your $SERVICE_LONG][connect-to-your-service]: to run queries, add and migrate your data from other sources.
 
+.... Additional text ....
+Content test
+
 <Install />
 
 ## Create a $SERVICE_LONG
 
-Now that you have an active $CLOUD_LONG account, you create and manage your $SERVICE_SHORTs in $CONSOLE. When you create a $SERVICE_SHORT, you effectively create a blank $PG database with additional $CLOUD_LONG features available under your $PRICING_PLAN. You then add or migrate your data into this database. 
+Now that you have an active $CLOUD_LONG account, you create and manage your $SERVICE_SHORTs in $CONSOLE. When you create a $SERVICE_SHORT, you effectively create a blank $PG database with additional $CLOUD_LONG features available under your $PRICING_PLAN. You then add or migrate your data into this database.
 
 <Procedure>
 
@@ -37,17 +40,17 @@ Now that you have an active $CLOUD_LONG account, you create and manage your $SER
 
 1. Follow the next steps in `Create a service` to configure the region, compute size, environment, availability, connectivity, and $SERVICE_SHORT name. Then click `Create service`.
 
-   Your $SERVICE_SHORT is constructed and ready to use in a few seconds. 
+   Your $SERVICE_SHORT is constructed and ready to use in a few seconds.
 
 1. Click `Download the config` and store the configuration information you need to connect to this $SERVICE_SHORT in a secure location.
 
    This file contains the passwords and configuration information you need to connect to your $SERVICE_SHORT using the
    $CONSOLE $DATA_MODE, from the command line, or using third-party database administration tools.
 
-If you choose to go directly to the $SERVICE_SHORT overview, [Connect to your $SERVICE_SHORT][connect-to-your-service] 
+If you choose to go directly to the $SERVICE_SHORT overview, [Connect to your $SERVICE_SHORT][connect-to-your-service]
 shows you how to connect.
 
-</Procedure> 
+</Procedure>
 
 ## Connect to your $SERVICE_SHORT
 
@@ -70,4 +73,3 @@ To run queries and perform other operations, connect to your $SERVICE_SHORT:
 [what-is-dynamic-postgres]: https://www.timescale.com/dynamic-postgresql
 [hypertables]: /use-timescale/:currentVersion:/hypertables/about-hypertables/#hypertable-partitioning
 [timescaledb]: https://docs.timescale.com/#TimescaleDB
-

tutorials/energy-data/dataset-energy.md

@@ -12,7 +12,7 @@ import IntegrationPrereqs from "versionContent/_partials/_integration-prereqs.md
 import CreateHypertableEnergy from "versionContent/_partials/_create-hypertable-energy.mdx";
 import AddDataEnergy from "versionContent/_partials/_add-data-energy.mdx";
 import GrafanaConnect from "versionContent/_partials/_grafana-connect.mdx";
-import CreateCaggs from "versionContent/_partials/_caggs-intro.mdx";
+import CreateCaggs from "versionContent/_partials/_cagg-intro.mdx";
 import CreateCaggsOnIOTData from "versionContent/_partials/_use-case-iot-create-cagg.mdx";
 
 # Ingest data into a $SERVICE_LONG
@@ -39,4 +39,3 @@ hypertable named `metrics`.
 </Procedure>
 
 <GrafanaConnect />
-

use-timescale/continuous-aggregates/about-continuous-aggregates.md

@@ -6,7 +6,7 @@ keywords: [continuous aggregates]
 ---
 
 import CaggsFunctionSupport from "versionContent/_partials/_caggs-function-support.mdx";
-import CaggsIntro from "versionContent/_partials/_caggs-intro.mdx";
+import CaggsIntro from "versionContent/_partials/_cagg-intro.mdx";
 import CaggsTypes from "versionContent/_partials/_caggs-types.mdx";
 
 # About continuous aggregates
@@ -31,9 +31,9 @@ For more information, see the documentation about
 
 ## Continuous aggregates with a `JOIN` clause
 
-Continuous aggregates support the following JOIN features: 
+Continuous aggregates support the following JOIN features:
 
-| Feature | TimescaleDB < 2.10.x | TimescaleDB <= 2.15.x | TimescaleDB >= 2.16.x| 
+| Feature | TimescaleDB < 2.10.x | TimescaleDB <= 2.15.x | TimescaleDB >= 2.16.x|
 |-|-|-|-|
 |INNER JOIN|&#10060;|&#9989;|&#9989;|
 |LEFT JOIN|&#10060;|&#10060;|&#9989;|
@@ -90,7 +90,7 @@ See the following `JOIN` examples on continuous aggregates:
     JOIN devices ON devices.id = conditions.device_id
     GROUP BY bucket, devices.name
     WITH NO DATA;
-    ``` 
+    ```
 
 - `INNER JOIN` on a single equality condition, using the `ON` clause, with a further condition added in the `WHERE` clause:
 
@@ -170,7 +170,7 @@ See the following `JOIN` examples on continuous aggregates:
     ```sql
     CREATE MATERIALIZED VIEW conditions_by_day WITH (timescaledb.continuous) AS
     SELECT time_bucket('1 day', time) AS bucket, devices.name, MIN(temperature), MAX(temperature)
-    FROM conditions, 
+    FROM conditions,
     LATERAL (SELECT * FROM devices WHERE devices.id = conditions.device_id) AS devices
     GROUP BY bucket, devices.name
     WITH NO DATA;