firebolt-db
diff --git a/‎docsrc/Connecting_and_queries.rst‎
Lines changed: 123 additions & 45 deletions b/‎docsrc/Connecting_and_queries.rst‎
Lines changed: 123 additions & 45 deletions
diff --git a/‎docsrc/firebolt.async_db.rst‎
Lines changed: 1 addition & 1 deletion b/‎docsrc/firebolt.async_db.rst‎
Lines changed: 1 addition & 1 deletion
@@ -3,23 +3,23 @@
 Connecting and running queries
 ###############################
 
-This topic provides a walkthrough and examples for how to use the Firebolt Python SDK to connect to Firebolt resources to run commands and query data. 
+This topic provides a walkthrough and examples for how to use the Firebolt Python SDK to connect to Firebolt resources to run commands and query data.
 
 
 Setting up a connection
 =========================
 
-To connect to a Firebolt database to run queries or command, you must provide your account credentials through a connection request. 
+To connect to a Firebolt database to run queries or command, you must provide your account credentials through a connection request.
 
-To get started, follow the steps below: 
+To get started, follow the steps below:
 
 **1. Import modules**
 
-	The Firebolt Python SDK requires you to import the following modules before making any command or query requests to your Firebolt database. 
+	The Firebolt Python SDK requires you to import the following modules before making any command or query requests to your Firebolt database.
 
 .. _required_connection_imports:
 
-	:: 
+	::
 
 		from firebolt.db import connect
 		from firebolt.client import DEFAULT_API_URL
@@ -30,9 +30,9 @@ To get started, follow the steps below:
 **2. Connect to your database and engine**
 
 
-	Your account information can be provided as parameters in a ``connection()`` function. 
+	Your account information can be provided as parameters in a ``connection()`` function.
 
-	A connection requires the following parameters: 
+	A connection requires the following parameters:
 
 	+------------------------------------+-------------------------------------------------------------------+
 	| ``username``                       |  The email address associated with your Firebolt user.            |
@@ -50,9 +50,9 @@ To get started, follow the steps below:
 
 		* **Set credentials manually**
 
-			You can manually include your account information in a connection object in your code for any queries you want to request. 
+			You can manually include your account information in a connection object in your code for any queries you want to request.
 
-			Replace the values in the example code below with your Firebolt account credentials as appropriate. 
+			Replace the values in the example code below with your Firebolt account credentials as appropriate.
 
 			::
 
@@ -61,19 +61,19 @@ To get started, follow the steps below:
 				engine_name = "your_engine"
 				database_name = "your_database"
 
-				connection = connect( 
+				connection = connect(
 					engine_name=engine_name,
 					database=database_name,
 					username=username,
 					password=password,
 				)
-		
+
 				cursor = connection.cursor()
 
 
 		* **Use an .env file**
 
-			Consolidating all of your Firebolt credentials into a ``.env`` file can help protect sensitive information from exposure. Create an ``.env`` file with the following key-value pairs, and replace the values with your information. 
+			Consolidating all of your Firebolt credentials into a ``.env`` file can help protect sensitive information from exposure. Create an ``.env`` file with the following key-value pairs, and replace the values with your information.
 
 			::
 
@@ -82,9 +82,9 @@ To get started, follow the steps below:
 				FIREBOLT_ENGINE="your_engine"
 				FIREBOLT_DB="your_database"
 
-			Be sure to place this ``.env`` file into your root directory. 
+			Be sure to place this ``.env`` file into your root directory.
 
-			Your connection script can load these environmental variables from the ``.env`` file by using the `python-dotenv <https://pypi.org/project/python-dotenv/>`_ package. Note that the example below imports the ``os`` and ``dotenv`` modules in order to load the environmental variables.   
+			Your connection script can load these environmental variables from the ``.env`` file by using the `python-dotenv <https://pypi.org/project/python-dotenv/>`_ package. Note that the example below imports the ``os`` and ``dotenv`` modules in order to load the environmental variables.
 
 			::
 
@@ -105,35 +105,35 @@ To get started, follow the steps below:
 
 **3. Execute commands using the cursor**
 
-	The ``cursor`` object can be used to send queries and commands to your Firebolt database and engine. See below for examples of functions using the ``cursor`` object. 
+	The ``cursor`` object can be used to send queries and commands to your Firebolt database and engine. See below for examples of functions using the ``cursor`` object.
 
-Command and query examples
+Server-side synchronous command and query examples
 ============================
 
-This section includes Python examples of various SQL commands and queries. 
+This section includes Python examples of various SQL commands and queries.
 
 
 Inserting and selecting data
 -----------------------------
 
 .. _basic_execute_example:
 
-The example below uses ``cursor`` to create a new table called ``test_table``, insert rows into it, and then select the table's contents. 
+The example below uses ``cursor`` to create a new table called ``test_table``, insert rows into it, and then select the table's contents.
 
-The engine attached to your specified database must be started before executing any queries. For help, see :ref:`starting an engine`. 
+The engine attached to your specified database must be started before executing any queries. For help, see :ref:`starting an engine`.
 
 ::
 
 	cursor.execute(
     		'''CREATE FACT TABLE IF NOT EXISTS test_table (
-    			id INT, 
-    			name TEXT 
-    			) 
+    			id INT,
+    			name TEXT
+    			)
     			PRIMARY INDEX id;'''
 		)
-	
+
 	cursor.execute(
-    		'''INSERT INTO test_table VALUES 
+    		'''INSERT INTO test_table VALUES
     			(1, 'hello'),
     			(2, 'world'),
     			(3, '!');'''
@@ -145,23 +145,23 @@ The engine attached to your specified database must be started before executing
 
 	cursor.close()
 
-.. note:: 
+.. note::
 
-	For reference documentation on ``cursor`` functions, see :ref:`Db.cursor` 
+	For reference documentation on ``cursor`` functions, see :ref:`Db.cursor`
 
 
 Fetching query results
 -----------------------
 
-After running a query, you can fetch the results using a ``cursor`` object. The examples below use the data queried from ``test_table`` created in the :ref:`Inserting and selecting data`. 
+After running a query, you can fetch the results using a ``cursor`` object. The examples below use the data queried from ``test_table`` created in the :ref:`Inserting and selecting data`.
 
 .. _fetch_example:
 
 ::
 
 	print(cursor.fetchone())
 
-**Returns**: ``[2, 'world']``		
+**Returns**: ``[2, 'world']``
 
 ::
 
@@ -181,25 +181,25 @@ Executing parameterized queries
 
 .. _parameterized_query_execute_example:
 
-Parameterized queries (also known as “prepared statements”) format a SQL query with placeholders and then pass values into those placeholders when the query is run. This protects against SQL injection attacks and also helps manage dynamic queries that are likely to change, such as filter UIs or access control. 
+Parameterized queries (also known as “prepared statements”) format a SQL query with placeholders and then pass values into those placeholders when the query is run. This protects against SQL injection attacks and also helps manage dynamic queries that are likely to change, such as filter UIs or access control.
 
 To run a parameterized query, use the ``execute()`` cursor method. Add placeholders to your statement using question marks ``?``, and in the second argument pass a tuple of parameters equal in length to the  number of ``?`` in the statement.
 
 
-:: 
+::
 
 	cursor.execute(
 		'''CREATE FACT TABLE IF NOT EXISTS test_table2 (
 			id INT,
-			name TEXT, 
+			name TEXT,
 			date_value DATE
 		)
 			PRIMARY INDEX id;'''
 		)
 
 
 ::
-	
+
 	cursor.execute(
 		"INSERT INTO test_table2 VALUES (?, ?, ?)",
 			(1, "apple", "2018-01-01"),
@@ -216,8 +216,8 @@ If you need to run the same statement multiple times with different parameter in
 	cursor.executemany(
 		"INSERT INTO test_table2 VALUES (?, ?, ?)",
 		(
-			(2, "banana", "2019-01-01"), 
-			(3, "carrot", "2020-01-01"), 
+			(2, "banana", "2019-01-01"),
+			(3, "carrot", "2020-01-01"),
 			(4, "donut", "2021-01-01")
 		)
 	)
@@ -231,7 +231,7 @@ Executing multiple-statement queries
 
 Multiple-statement queries allow you to run a series of SQL statements sequentially with just one method call. Statements are separated using a semicolon ``;``, similar to making SQL statements in the Firebolt UI.
 
-:: 
+::
 
 	cursor.execute(
 		"""
@@ -246,32 +246,110 @@ Multiple-statement queries allow you to run a series of SQL statements sequentia
 
 	cursor.close()
 
-**Returns**: 
+**Returns**:
 
-:: 
+::
 
 	First query:  [[2, 'banana', datetime.date(2019, 1, 1)], [3, 'carrot', datetime.date(2020, 1, 1)], [1, 'apple', datetime.date(2018, 1, 1)]]
 	Second query:  [[3, 'carrot', datetime.date(2020, 1, 1)], [4, 'donut', datetime.date(2021, 1, 1)]]
 
-.. note:: 
+.. note::
+
+	Multiple statement queries are not able to use placeholder values for parameterized queries.
+
+
+
+Server-side asynchronous query execution
+==========================================
+
+Server-side asynchronous query execution allows you to run a long query in the background while executing other asynchronous or synchronous queries. An additional benefit of server-side async execution that can free up a connection, close a connection while running a query, or potentially even spin down an entire service (such as AWS Lambda) while a long-running database job is still underway. Note that it is not possible to retrieve the results of a server-side asynchronous query, so these queries are best used for running DMLs and DDLs. SELECTs should be used only for warming the cache.
+
+Running DDL commands
+-----------------------------
+
+.. _basic_execute_example:
+
+Running queries server-side asynchronously is similar to running server-side asynchronous queries, but the ``execute()`` command receives an extra parameter, ``async_execution=True``. The example below uses ``cursor`` to create a new table called ``test_table``. ``execute(query, async_execution=True)`` will return a query ID, which can subsequently be used to check the query status.
+
+::
+
+    query_id = cursor.execute(
+        '''CREATE FACT TABLE IF NOT EXISTS test_table (
+            id INT,
+            name TEXT
+            )
+            PRIMARY INDEX id;''',
+        async_execution=True
+    )
+
+
+To check the status of a query, send the query ID to ```get_status()``` to receive a QueryStatus enumeration object. Possible statuses are:
+
+
+    * ``RUNNING``
+    * ``ENDED_SUCCESSFULLY``
+    * ``ENDED_UNSUCCESSFULLY``
+    * ``NOT_READY``
+    * ``STARTED_EXECUTION``
+    * ``PARSE_ERROR``
+    * ``CANCELED_EXECUTION``
+    * ``EXECUTION_ERROR``
+
+
+Once the status of the table creation is ``ENDED_SUCCESSFULLY`` created, data can be inserted into it:
+
+::
+
+    from firebolt.async_db.cursor import QueryStatus
+
+    query_status = cursor.get_status(query_id)
+
+    if query_status == QueryStatus.ENDED_SUCCESSFULLY:
+        cursor.execute(
+            '''INSERT INTO test_table VALUES
+                (1, 'hello'),
+                (2, 'world'),
+                (3, '!');'''
+        )
+
+
+In addition, server-side asynchronous queries can be cancelled calling ``cancel()``.
+
+::
+
+    query_id = cursor.execute(
+        '''CREATE FACT TABLE IF NOT EXISTS test_table (
+            id INT,
+            name TEXT
+            )
+            PRIMARY INDEX id;''',
+        async_execution=True
+    )
+
+    cursor.cancel(query_id)
+
+    query_status = cursor.get_status(query_id)
+
+    print(query_status)
+
+**Returns**: ``CANCELED_EXECUTION``
 
-	Multiple statement queries are not able to use placeholder values for parameterized queries. 
 
 
 Using DATE and DATETIME values
----------------------------------
+==============================
 
-DATE, DATETIME and TIMESTAMP values used in SQL insertion statements must be provided in a specific format; otherwise they could be read incorrectly. 
+DATE, DATETIME and TIMESTAMP values used in SQL insertion statements must be provided in a specific format; otherwise they could be read incorrectly.
 
-* DATE values should be formatted as **YYYY-MM-DD** 
+* DATE values should be formatted as **YYYY-MM-DD**
 
 * DATETIME and TIMESTAMP values should be formatted as **YYYY-MM-DD HH:MM:SS.SSSSSS**
 
-The `datetime <https://docs.python.org/3/library/datetime.html>`_ module from the Python standard library contains various classes and methods to format DATE, TIMESTAMP and DATETIME data types. 
+The `datetime <https://docs.python.org/3/library/datetime.html>`_ module from the Python standard library contains various classes and methods to format DATE, TIMESTAMP and DATETIME data types.
 
-You can import this module as follows:  
+You can import this module as follows:
 
-:: 
+::
 
 	from datetime import datetime
 
@@ -2,7 +2,7 @@
 Async DB
 ==========================
 
-The Async DB package enables connecting to a Firebolt database for asynchronous queries.
+The Async DB package enables connecting to a Firebolt database for `client-side` asynchronous queries. For running queries in `server-side` asynchronous mode see :ref:`server-side asynchronous query execution`.
 
 Connect
 ------------------------------------