fix(v3): query-data cleanup (#5030)

content/influxdb/cloud-dedicated/get-started/query.md

@@ -161,7 +161,7 @@ Get started with one of the following tools for querying data stored in an {{% c
 
 - **InfluxDB v3 client libraries**: Use language-specific (Python, Go, etc.) clients to execute queries in your terminal or custom code.
 - **influx3 CLI**: Send queries from your terminal command-line.
-- **Grafana**: Query InfluxDB v3 with the [FlightSQL Data Source plugin](https://grafana.com/grafana/plugins/influxdata-flightsql-datasource/) and connect and visualize data.
+- **Grafana**: Use the [FlightSQL Data Source plugin](https://grafana.com/grafana/plugins/influxdata-flightsql-datasource/), to query, connect, and visualize data.
 
 For this example, use the following query to select all the data written to the
 **get-started** database between
@@ -294,32 +294,32 @@ _If your project's virtual environment is already running, skip to step 3._
 
 2.  In `query.py`, enter the following sample code:
 
-      ```py
-      from influxdb_client_3 import InfluxDBClient3
-      import os
+    ```py
+    from influxdb_client_3 import InfluxDBClient3
+    import os
 
-      # INFLUX_TOKEN is an environment variable you assigned to your database READ token string
-      TOKEN = os.getenv('INFLUX_TOKEN')
+    # INFLUX_TOKEN is an environment variable you assigned to your database READ token string
+    TOKEN = os.getenv('INFLUX_TOKEN')
 
-      client = InfluxDBClient3(
-          host="cluster-id.influxdb.io",
-          token=TOKEN,
-          database="get-started",
-      )
+    client = InfluxDBClient3(
+        host="cluster-id.influxdb.io",
+        token=TOKEN,
+        database="get-started",
+    )
 
-      sql = '''
-        SELECT
-          *
-        FROM
-          home
-        WHERE
-          time >= '2022-01-01T08:00:00Z'
-          AND time <= '2022-01-01T20:00:00Z'
-      '''
+    sql = '''
+      SELECT
+        *
+      FROM
+        home
+      WHERE
+        time >= '2022-01-01T08:00:00Z'
+        AND time <= '2022-01-01T20:00:00Z'
+    '''
 
-      table = client.query(query=sql)
-      print(reader.to_pandas().to_markdown())
-      ```
+    table = client.query(query=sql)
+    print(reader.to_pandas().to_markdown())
+    ```
 
     The sample code does the following:
 
@@ -738,4 +738,4 @@ RECORD BATCH
 For a deep dive into all the ways you can query {{% cloud-name %}}, see the
 [Query data in InfluxDB](/influxdb/cloud-dedicated/query-data/) section of documentation.
 
-{{< page-nav prev="/influxdb/cloud-dedicated/get-started/write/" keepTab=true >}}
+{{< page-nav prev="/influxdb/cloud-dedicated/get-started/write/" keepTab=true >}}

content/influxdb/cloud-serverless/get-started/query.md

@@ -51,13 +51,11 @@ The examples in this section of the tutorial query the [**get-started** bucket](
 - [Superset](/influxdb/cloud-serverless/query-data/sql/execute-queries/superset/)
 - [Grafana](/influxdb/cloud-serverless/query-data/sql/execute-queries/grafana/)
 - [Chronograf](/{{< latest "Chronograf" >}}/)
-- [InfluxDB HTTP API](?t=InfluxDB+API#execute-an-sql-query){{< req "\*  " >}}
-- [`influx` CLI](?t=influx+CLI#execute-an-sql-query){{< req "\*  " >}}
 
 ## SQL query basics
 
 The {{% cloud-name %}} SQL implementation is powered by the [Apache Arrow DataFusion](https://arrow.apache.org/datafusion/)
-query engine which provides a SQL syntax similar to PostgreSQL.
+query engine which provides an SQL syntax similar to PostgreSQL.
 
 {{% note %}}
 This is a brief introduction to writing SQL queries for InfluxDB.
@@ -164,7 +162,7 @@ Get started with one of the following tools for querying data stored in an {{% c
 - **InfluxDB UI**: View your schema, build queries using the query editor, and generate data visualizations.
 - **InfluxDB v3 client libraries**: Use language-specific (Python, Go, etc.) clients to execute queries in your terminal or custom code.
 - **influx3 CLI**: Send queries from your terminal command-line.
-- **Grafana**: Query InfluxDB v3 with the [FlightSQL Data Source plugin](https://grafana.com/grafana/plugins/influxdata-flightsql-datasource/) and connect and visualize data.
+- **Grafana**: Use the [FlightSQL Data Source plugin](https://grafana.com/grafana/plugins/influxdata-flightsql-datasource/), to query, connect, and visualize data.
 
 For this example, use the following query to select all the data written to the
 **get-started** bucket between
@@ -196,8 +194,6 @@ All API, cURL, and client library examples in this getting started tutorial assu
 [influx3 CLI](#influx3-cli)
 [Python](#)
 [Go](#)
-[influx CLI](#influx-cli)
-[InfluxDB API](#influxdb-http-api)
 {{% /tabs %}}
 
 {{% tab-content %}}
@@ -287,9 +283,6 @@ _If your project's virtual environment is already running, skip to step 3._
 
 `influx3` displays query results in your terminal.
 
-For more information about the `influx3` CLI, see the [`InfluxCommunity/
-influxdb3-python-cli
-`](https://github.com/InfluxCommunity/influxdb3-python-cli) community repository on GitHub.
  {{% /influxdb/custom-timestamps %}}
 <!--------------------------- END influx3 CONTENT --------------------------->
 {{% /tab-content %}}
@@ -332,7 +325,7 @@ _If your project's virtual environment is already running, skip to step 3._
         pip install influxdb3-python pandas tabulate
         ```
 
-    4. In your terminal or editor, create a new file for your code--for example: `query.py`.
+    4.  In your terminal or editor, create a new file for your code--for example: `query.py`.
 
 2.  In `query.py`, enter the following sample code:
 
@@ -350,13 +343,13 @@ _If your project's virtual environment is already running, skip to step 3._
     )
 
     sql = '''
-    SELECT
-      *
-    FROM
-      home
-    WHERE
-      time >= '2022-01-01T08:00:00Z'
-      AND time <= '2022-01-01T20:00:00Z'
+      SELECT
+        *
+      FROM
+        home
+      WHERE
+        time >= '2022-01-01T08:00:00Z'
+        AND time <= '2022-01-01T20:00:00Z'
     '''
 
     table = client.query(query=sql)