Move SQL reference to new Data Cloud SQL reference

Author: vogelsgesang

website/docs/guides/hyper_file/create_update.md

@@ -42,8 +42,8 @@ The script consist of 3 high-level steps:
 
 1. Start a Hyper process. The [`HyperProcess`](../../hyper-api/hyper_process)
 2. Create a connection to the `.hyper` file. Since we create the [`Connection`](../../hyper-api/connection) class with the `CreateMode.CREATE_AND_REPLACE`, the `.hyper` file will be automatically created if it does not exist yet, and will be overwritten if a file with that name already exists.
-3. Defining the table. In this case, we are using the Python utilities `TableDefinition` and `catalog.create_table`. We could have also used a [CREATE TABLE](../../sql/command/create_table) SQL command.
-4. Insert the data. In the example, we use the `Inserter` utility to provide the data from Python. You can also use [INSERT](../../sql/command/insert) or [COPY](../../sql/command/copy_from) statements or any other means to load data into the table. E.g., you can thereby directly load your table from a CSV file.
+3. Defining the table. In this case, we are using the Python utilities `TableDefinition` and `catalog.create_table`. We could have also used a [CREATE TABLE](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/create-table.html) SQL command.
+4. Insert the data. In the example, we use the `Inserter` utility to provide the data from Python. You can also use [INSERT](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/insert.html) or [COPY](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/copy-from.html) statements or any other means to load data into the table. E.g., you can thereby directly load your table from a CSV file.
 
 #### File Format Versions
 
@@ -64,7 +64,7 @@ The main difference when connecting is that you use `CreateMode.NONE` instead of
 By using `CreateMode.NONE`, Hyper will connect to a pre-existing file instead of recreating a new, empty file.
 Since the default for `CreateMode` is `NONE`, you can also just leave this parameter out completely.
 
-You can then use SQL commands ([INSERT](../../sql/command/insert), [UPDATE](../../sql/command/update), [DELETE](../../sql/command/delete), [COPY](../../sql/command/copy_from), ...) or the `Inserter` utility class to change the data in the table.
+You can then use SQL commands ([INSERT](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/insert.html), [UPDATE](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/update.html), [DELETE](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/delete.html), [COPY](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/copy-from.html) or the `Inserter` utility class to change the data in the table.
 You could also create new tables or drop existing tables.
 
 The following example removes rows with a `value < 50` and appends two new row to an existing table within an extract file:

website/docs/guides/hyper_file/geodata.md

@@ -62,7 +62,7 @@ with Inserter(connection, geo_table, column_mappings, inserter_definition = inse
     inserter.execute()
 ```
 
-Note if you have WKT data in a comma-separated value (CSV) file, you can use the [COPY](/docs/sql/command/copy_from) command to insert the data from a CSV file. The command automatically converts the WKT strings to the `tableau.tabgeography` data type. For more information, see the [Example code using copy from CSV](#example-code-using-copy-from-csv) and the Help topic [Insert Data Directly from CSV Files](./insert_csv) and the CSV sample on GitHub, [hyper-api-samples](https://github.com/tableau/hyper-api-samples).
+Note if you have WKT data in a comma-separated value (CSV) file, you can use the [COPY](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/copy-from.html) command to insert the data from a CSV file. The command automatically converts the WKT strings to the `tableau.tabgeography` data type. For more information, see the [Example code using copy from CSV](#example-code-using-copy-from-csv) and the Help topic [Insert Data Directly from CSV Files](./insert_csv) and the CSV sample on GitHub, [hyper-api-samples](https://github.com/tableau/hyper-api-samples).
 
 ## Example code using the Inserter
 

website/docs/guides/hyper_file/insert_csv.md

@@ -1,6 +1,6 @@
 # Insert Data Directly from CSV Files
 
-Comma-separated values (CSV) are a popular file format  to import and export tabular data from programs. Hyper is able to directly load data into a Hyper table. Using the PostgreSQL-like [COPY FROM](/docs/sql/command/copy_from) command, you can copy the data much faster than you could by iteratively adding the data one row at a time.
+Comma-separated values (CSV) are a popular file format  to import and export tabular data from programs. Hyper is able to directly load data into a Hyper table. Using the [COPY FROM](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/copy-from.html) command, you can copy the data much faster than you could by iteratively adding the data one row at a time.
 
 ```python
 from pathlib import Path
@@ -55,8 +55,8 @@ with HyperProcess(telemetry=Telemetry.SEND_USAGE_DATA_TO_TABLEAU) as hyper:
 
 3. Issue the `COPY FROM` command.
 
-    The [COPY FROM](../../sql/command/copy_from) command instructs Hyper to
-    directly insert data from an external file into a table.
+    The [COPY FROM](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/copy-from.html)
+    command instructs Hyper to directly insert data from an external file into a table.
     The `COPY` command's `WITH` clause specifies additional details about the file format: In this case, the CSV file uses a comma as the delimiter and has a header row.
 
     To construct the SQL command and correctly escape the file path, we use `escape_string_literal`.

website/docs/guides/hyper_file/read.md

@@ -1,7 +1,7 @@
 # Read Data from Hyper Files
 
 To read data from a `.hyper` file, open a `Connection` to the file and
-then use the [SELECT](../../sql/command/select.md) command to retrieve data from the file.
+then use the [SELECT](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/select.html) command to retrieve data from the file.
 
 ```python
 from tableauhyperapi import HyperProcess, Connection, Telemetry, CreateMode, Inserter
@@ -26,5 +26,5 @@ with HyperProcess(Telemetry.SEND_USAGE_DATA_TO_TABLEAU) as hyper:
 ```
 
 In general, you can send arbitrarily complex queries against the data in a Hyper file.
-More information on the available SQL commands can be found in the [SQL reference](../../sql/).
+More information on the available SQL commands can be found in the [SQL reference](../../sql).
 For more information on how to issue SQL queries from Python (or your preferred language) and how to make programatically craft SQL queries, see the [Executing SQL Commands](../sql_commands) guide.

website/docs/guides/pandas_integration.md

@@ -42,7 +42,7 @@ pantab.frame_to_hyper(animals_df, "animals.hyper", table="animals")
 To kickstart your creativity on potential use cases, let's use Hyper to run an analytical query on a Parquet file - and read the result back to a pandas frame using `pantab`.
 
 You can send SQL queries to Hyper and get the result as a pandas dataframe using `pantab.frame_from_hyper_query`.
-Combined with Hyper's capabilities to [query external file formats](../sql/external/), you can use this, e.g., to directly run queries on your Parquet files, Iceberg tables or Parquet files.
+Combined with Hyper's capabilities to [query external file formats](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/external-files.html), you can use this, e.g., to directly run queries on your Parquet files, Iceberg tables or Parquet files.
 The following example demonstrates this on the Parquet file `orders_10rows.parquet` which you can [download here](https://github.com/tableau/hyper-api-samples/raw/main/Community-Supported/parquet-to-hyper/orders_10rows.parquet).
 
 ```python

website/docs/guides/sql_commands.md

@@ -47,9 +47,11 @@ There is one method for SQL commands, and three methods for queries which differ
 `execute_scalar_query` | The value from one row, one column. |
 
 `execute_command` is meant to be used for SQL commands like
-[CREATE TABLE](../sql/command/create_table), [COPY FROM](../sql/command/copy_from),
-[INSERT](../sql/command/insert), [UPDATE](../sql/command/update),
-[DELETE](../sql/command/delete) etc., all of which don't produce any
+[CREATE TABLE](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/create-table.html),
+[COPY FROM](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/copy-from.html),
+[INSERT](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/insert.html),
+[UPDATE](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/update.html),
+[DELETE](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/delete.html) etc., all of which don't produce any
 result tuples but instead are executed because we are interested in their
 side effects. `execute_command` returns the number of rows affected by the
 command.
@@ -76,7 +78,7 @@ that single result value.
 
 Using Hyper SQL you can, e.g., insert, update, and delete data from tables, import data from
 Parquet files or pose arbitrarily complex analytical queries.
-For a reference documentation of the supported commands, see [Hyper SQL commands](/docs/sql/command/).
+For a reference documentation of the supported commands, see our [SQL reference](/docs/sql).
 
 Because the SQL statements are passed to the Hyper API as strings, you need to ensure that
 identifiers and string values are properly encoded.
@@ -123,7 +125,7 @@ INSERT INTO "Guest Names" VALUES('Francisco Eduardo')
 
 The table name must be in double quotes and the string constant in single quotes.
 
-Escaping for identifiers and strings is documented in [General Syntax](../sql/syntax.md).
+Escaping for identifiers and strings is documented in [General Syntax](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/syntax.html).
 Instead of reimplementing those escaping rules by yourself, you can use the `escape_name`
 and `escape_string_literal` functions to correctly format identifiers and strings in
 your SQL statements.