README files improvments: Analytical store, limitatios, workarounds.

sdk/cosmos/README.md

@@ -6,7 +6,7 @@ Use the Azure Cosmos DB SQL API SDKs for application development and database ma
 
 ## Contents of this folder
 
-### azure-cosmos
+### [azure-cosmos](./azure-cosmos)
 
 This is the Azure Cosmos DB SQL API SDK for Python to manage databases and the JSON documents they contain in this NoSQL database service. High level capabilities are:
 
@@ -17,7 +17,7 @@ This is the Azure Cosmos DB SQL API SDK for Python to manage databases and the J
 
 Use this package if you are creating an application or exploring data.
 
-### azure-mgmt-cosmosdb
+### [azure-mgmt-cosmosdb](./azure-mgmt-cosmosdb)
 
 This is the Microsoft Azure Cosmos DB Management Client Library. High level capabilities are:
 
@@ -34,7 +34,7 @@ This is the Microsoft Azure Cosmos DB Management Client Library. High level capa
 
 Use this package if you are creating an account level management application.
 
-### azure-mgmt-documentdb
+### [azure-mgmt-documentdb](./azure-mgmt-documentdb)
 
 Legacy DocumentDB SDK.
 

sdk/cosmos/azure-cosmos/README.md

@@ -11,14 +11,16 @@ Use the Azure Cosmos DB SQL API SDK for Python to manage databases and the JSON
 
 [SDK source code][source_code] | [Package (PyPI)][cosmos_pypi] | [API reference documentation][ref_cosmos_sdk] | [Product documentation][cosmos_docs] | [Samples][cosmos_samples]
 
+> This SDK is used for the [SQL API](https://docs.microsoft.com/en-us/azure/cosmos-db/sql-query-getting-started). For all other APIs, please check the [Azure Cosmos DB documentation](https://docs.microsoft.com/en-us/azure/cosmos-db/introduction) to evaluate the best SDK for your project.
 
 ## Getting started
+
 ### Prerequisites
+
 * Azure subscription - [Create a free account][azure_sub]
 * Azure [Cosmos DB account][cosmos_account] - SQL API
 * [Python 2.7 or 3.5.3+][python]
 
-
 If you need a Cosmos DB SQL API account, you can create one with this [Azure CLI][azure_cli] command:
 
 ```Bash
@@ -39,6 +41,7 @@ Although not required, you can keep your base system and Azure SDK environments
 python3 -m venv azure-cosmosdb-sdk-environment
 source azure-cosmosdb-sdk-environment/bin/activate
 ```
+
 ### Authenticate the client
 
 Interaction with Cosmos DB starts with an instance of the [CosmosClient][ref_cosmosclient] class. You need an **account**, its **URI**, and one of its **account keys** to instantiate the client object.
@@ -52,6 +55,7 @@ ACCT_NAME=<cosmos-db-account-name>
 export ACCOUNT_URI=$(az cosmosdb show --resource-group $RES_GROUP --name $ACCT_NAME --query documentEndpoint --output tsv)
 export ACCOUNT_KEY=$(az cosmosdb list-keys --resource-group $RES_GROUP --name $ACCT_NAME --query primaryMasterKey --output tsv)
 ```
+
 ### Create the client
 
 Once you've populated the `ACCOUNT_URI` and `ACCOUNT_KEY` environment variables, you can create the [CosmosClient][ref_cosmosclient].
@@ -77,12 +81,26 @@ Once you've initialized a [CosmosClient][ref_cosmosclient], you can interact wit
 
 For more information about these resources, see [Working with Azure Cosmos databases, containers and items][cosmos_resources].
 
+## Limitations
+
+As of August 2020 the features below are not yet supported.
+
+* Bulk/Batch processing
+* Group By queries
+* Direct TCP Mode access
+* Language Native async i/o
+
+## Limitations Workaround
+
+If you want to use Python SDK to perform bulk inserts to Cosmos DB, the best alternative is to use [stored procedures](https://docs.microsoft.com/en-us/azure/cosmos-db/how-to-write-stored-procedures-triggers-udfs) to write multiple items with the same partition key.
+
 ## Examples
 
 The following sections provide several code snippets covering some of the most common Cosmos DB tasks, including:
 
 * [Create a database](#create-a-database "Create a database")
 * [Create a container](#create-a-container "Create a container")
+* [Create an Analytical Store Enabled container](#create-an-analytical-store-enabled-container "Create a container")
 * [Get an existing container](#get-an-existing-container "Get an existing container")
 * [Insert data](#insert-data "Insert data")
 * [Delete data](#delete-data "Delete data")
@@ -131,6 +149,28 @@ except exceptions.CosmosHttpResponseError:
     raise
 ```
 
+### Create an Analytical Store enabled container
+
+This example creates a container with [Analytical Store](https://docs.microsoft.com/en-us/azure/cosmos-db/analytical-store-introduction) enabled, for reporting, BI, AI, and Advanced Analytics with [Azure Synapse Link](https://docs.microsoft.com/en-us/azure/cosmos-db/synapse-link).
+
+Options:
+
++ 0 or Null = Not enabled.
++ -1 = The data will be stored infinitely.
++ Any other number is the actual ttl, in seconds.
+
+```Python
+container_name = 'products'
+try:
+    container = database.create_container(id=container_name, partition_key=PartitionKey(path="/productName"),analytical_storage_ttl=-1)
+except exceptions.CosmosResourceExistsError:
+    container = database.get_container_client(container_name)
+except exceptions.CosmosHttpResponseError:
+    raise
+```
+
+The preceding snippet also handles the [CosmosHttpResponseError][ref_httpfailure] exception if the container creation failed. For more information on error handling and troubleshooting, see the [Troubleshooting](#troubleshooting "Troubleshooting") section.
+
 The preceding snippet also handles the [CosmosHttpResponseError][ref_httpfailure] exception if the container creation failed. For more information on error handling and troubleshooting, see the [Troubleshooting](#troubleshooting "Troubleshooting") section.
 
 ### Get an existing container

sdk/cosmos/azure-cosmos/samples/container_management.py

@@ -24,6 +24,7 @@
 #    2.4 - Create container with unique key
 #    2.5 - Create Container with partition key V2
 #    2.6 - Create Container with partition key V1
+#    2.7 - Create Container with analytical store enabled
 #
 # 3. Manage Container Provisioned Throughput
 #    3.1 - Get Container provisioned throughput (RU/s)
@@ -67,8 +68,8 @@ def find_container(db, id):
 
 
 def create_container(db, id):
-    """ Execute the most basic Create of container.
-    This will create a container with 400 RUs throughput and default indexing policy """
+    """ Execute basic container creation.
+    This will create containers with 400 RUs with different indexing, partitioning, and storage options """
 
     partition_key = PartitionKey(path='/id', kind='Hash')
     print("\n2.1 Create Container - Basic")
@@ -84,9 +85,8 @@ def create_container(db, id):
 
     try:
         coll = {
-            "id": "container_custom_index_policy",
+            "id": id+"_container_custom_index_policy",
             "indexingPolicy": {
-                "indexingMode": "lazy",
                 "automatic": False
             }
         }
@@ -107,9 +107,8 @@ def create_container(db, id):
     print("\n2.3 Create Container - With custom provisioned throughput")
 
     try:
-        coll = {"id": "container_custom_throughput"}
         container = db.create_container(
-            id=coll['id'],
+            id=id+"_container_custom_throughput",
             partition_key=partition_key,
             offer_throughput=400
         )
@@ -122,7 +121,7 @@ def create_container(db, id):
 
     try:
         container = db.create_container(
-            id="container_unique_keys",
+            id= id+"_container_unique_keys",
             partition_key=partition_key,
             unique_key_policy={'uniqueKeys': [{'paths': ['/field1/field2', '/field3']}]}
         )
@@ -138,7 +137,7 @@ def create_container(db, id):
 
     try:
         container = db.create_container(
-            id="container_partition_key_v2",
+            id=id+"_container_partition_key_v2",
             partition_key=PartitionKey(path='/id', kind='Hash')
         )
         properties = container.read()
@@ -152,7 +151,7 @@ def create_container(db, id):
 
     try:
         container = db.create_container(
-            id="container_partition_key_v1",
+            id=id+"_container_partition_key_v1",
             partition_key=PartitionKey(path='/id', kind='Hash', version=1)
         )
         properties = container.read()
@@ -162,6 +161,21 @@ def create_container(db, id):
     except exceptions.CosmosResourceExistsError:
         print('A container with id \'container_partition_key_v1\' already exists')
 
+    print("\n2.7 Create Container - With analytical store enabled")
+
+    try:
+        container = db.create_container(
+            id=id+"_container_analytical_store",
+            partition_key=PartitionKey(path='/id', kind='Hash',analytical_storage_ttl=-1)
+        )
+        properties = container.read()
+        print('Container with id \'{0}\' created'.format(container.id))
+        print('Partition Key - \'{0}\''.format(properties['partitionKey']))
+
+    except exceptions.CosmosResourceExistsError:
+        print('A container with id \'_container_analytical_store\' already exists')
+
+
 
 def manage_provisioned_throughput(db, id):
     print("\n3.1 Get Container provisioned throughput (RU/s)")

sdk/cosmos/azure-cosmos/samples/index_management.py

@@ -22,7 +22,6 @@
 #   excludedPaths
 #
 # We can toggle 'automatic' to eiher be True or False depending upon whether we want to have indexing over all columns by default or not.
-# indexingMode can be either of consistent, lazy or none
 #
 # We can provide options while creating documents. indexingDirective is one such,
 # by which we can tell whether it should be included or excluded in the index of the parent container.