Docs (#106)

* bump version

* bump version

* Update KustoSource.md

* docs

Co-authored-by: ohbitton <42732233+ohbitton@users.noreply.github.com>

README.md

@@ -32,14 +32,14 @@ link your application with the artifact below in order to use the Azure Data Exp
 ```
 groupId = com.microsoft.azure.kusto
 artifactId = spark-kusto-connector
-version = 1.0.2
+version = 1.1.0
 ```
 
 **In Maven**:
 
 Look for the following coordinates: 
 ```
-com.microsoft.azure.kusto:spark-kusto-connector:1.0.2
+com.microsoft.azure.kusto:spark-kusto-connector:1.1.0
 ```
 
 Or clone this repository and build it locally to add it to your local maven repository, 
@@ -49,7 +49,7 @@ the jar can also be found under the [released package](https://github.com/Azure/
    <dependency>
      <groupId>com.microsoft.azure.kusto</groupId>
      <artifactId>spark-kusto-connector</artifactId>
-     <version>1.0.2</version>
+     <version>1.1.0</version>
    </dependency>
 ```
 
@@ -58,7 +58,7 @@ the jar can also be found under the [released package](https://github.com/Azure/
 Create Library -> Maven with the following coordinates:
 
 ```
-com.microsoft.azure.kusto:spark-kusto-connector:1.0.2
+com.microsoft.azure.kusto:spark-kusto-connector:1.1.0
 ```
 
 #### Building Samples Module
@@ -112,8 +112,8 @@ on [Microsoft Azure SDK For Key Vault](https://mvnrepository.com/artifact/com.mi
 
 > **Note:** When working with Databricks, Azure Data Explorer connector requires Azure Data Explorer java client libraries (and azure key-vault library if used) to be installed.
 This can be done by accessing Databricks Create Library -> Maven and specifying the following coordinates:
-- com.microsoft.azure.kusto:spark-kusto-connector:1.0.2
-- com.microsoft.azure.kusto:spark-kusto-connector:1.0.2
+- com.microsoft.azure.kusto:spark-kusto-connector:1.1.0
+- com.microsoft.azure.kusto:spark-kusto-connector:1.1.0
 
 ## Documentation
 

docs/KustoSource.md

@@ -21,7 +21,7 @@ that is using it. Please verify the following before using Kusto connector:
 
  Kusto connector implements Spark 'Datasource V1' API. 
  Kusto data source identifier is "com.microsoft.kusto.spark.datasource". 
- Kusto table schema is translated into a spark as explained in [DataTypes](Spark-Kusto DataTypes mapping.md).
+ Kusto table schema is translated into a spark schema as explained in [Spark-Kusto DataTypes](mapping.md).
  The reading is done in one of two modes: 'Single' and 'Distributed'. By default if the user did not override the read mode - an estimated
  count for the query is made; for small row count - a 'Single' mode is chosen with a fallback to the 'Distributed' mode (as the first might
  fail due to [kusto limit policy](https://docs.microsoft.com/en-us/azure/kusto/concepts/querylimits)). In 'Distributed' mode, a distributed
@@ -35,15 +35,14 @@ that is using it. Please verify the following before using Kusto connector:
  **Simplified Command Syntax**: 
   ```
  <dataframe-name> = 
- spark.read.kusto(<cluster-name.region-name>, <database-name>, <kusto-query>, <parameters map>)
+ spark.read.kusto(<cluster-name.region-name>, <database-name>, <kusto-query>, <parameters map>, <ClientRequestProperties>)
   ```
  where:
  * **Kusto-query** is any valid Kusto query. For details, please refer to [Query statements documentation](https://docs.microsoft.com/en-us/azure/kusto/query/statements). To read the whole table, just provide the table name as query.
  >Note:
  Kusto commands  cannot be executed via the connector.
  * **Parameters map** is a set of key-value pairs, where the key is the parameter name. See [Supported Options](#supported-options)
  section for details
-
 
 **Elaborate Command Syntax**: 
 ```
@@ -89,7 +88,7 @@ All the options that can be use in the Kusto source are under the object KustoSo
 
 * **KUSTO_CLIENT_REQUEST_PROPERTIES_JSON**:
   A json representation for [ClientRequestProperties](https://github.com/Azure/azure-kusto-java/blob/master/data/src/main/java/com/microsoft/azure/kusto/data/ClientRequestProperties.java)
-   used in the call for reading from kusto (used in the single query for 'single' mode or for the export command for 'distributed' mode). Use toString to create the json.
+   used in the call for reading from Kusto (used in the single query for 'single' mode or for the export command for 'distributed' mode). Use toString to create the json.
 
 
 #### Transient Storage Parameters

pom.xml

@@ -9,7 +9,7 @@
     <version>${revision}</version>
 
     <properties>
-        <revision>1.0.2</revision>
+        <revision>1.1.0</revision>
         <scala.version>2.11</scala.version>
         <specs2.version>3.6.5</specs2.version>
         <spark.version>2.4.0</spark.version>