Merge pull request #187353 from FabianMeiswinkel/users/fabianm/avoidstaleversionssparkoverview

Removing info for Spark overview sites that will be always stale/outdated

Author: tamarakhader

articles/cosmos-db/sql/sql-api-sdk-java-spark-v3.md

@@ -40,34 +40,23 @@ If you have any feedback or ideas on how to improve your experience create an is
 
 ## Documentation links
 
-* [Getting started](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/cosmos/azure-cosmos-spark_3_2-12/docs/quick-start.md)
-* [Catalog API](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/cosmos/azure-cosmos-spark_3_2-12/docs/catalog-api.md)
-* [Configuration Parameter Reference](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/cosmos/azure-cosmos-spark_3_2-12/docs/configuration-reference.md)
+* [Getting started](https://aka.ms/azure-cosmos-spark-3-quickstart)
+* [Catalog API](https://aka.ms/azure-cosmos-spark-3-catalog-api)
+* [Configuration Parameter Reference](https://aka.ms/azure-cosmos-spark-3-config)
+* [End-to-end sample notebook "New York City Taxi data"](https://aka.ms/azure-cosmos-spark-3-sample-nyc-taxi-data)
+* [Migration from Spark 2.4 to Spark 3.*](https://aka.ms/azure-cosmos-spark-3-migration)
 
 ## Version compatibility
+* [Version compatibility for Spark 3.1](https://aka.ms/azure-cosmos-spark-3-1-version-compatibility)
+* [Version compatibility for Spark 3.2](https://aka.ms/azure-cosmos-spark-3-2-version-compatibility)
 
-| Connector     | Minimum Spark version | Minimum Java version | Supported Scala versions | Supported Databricks runtimes |
-| ------------- | --------------------- | -------------------- | -----------------------  | ----------------------------- |
-| 4.4.0         | 3.1.1                 | 8                    | 2.12                     | 8.\*, 9.\*                    |
-| 4.3.1         | 3.1.1                 | 8                    | 2.12                     | 8.\*, 9.\*                    |
-| 4.3.0         | 3.1.1                 | 8                    | 2.12                     | 8.\*, 9.\*                    |
-| 4.2.0         | 3.1.1                 | 8                    | 2.12                     | 8.\*                          |
-| 4.1.0         | 3.1.1                 | 8                    | 2.12                     | 8.\*                          |
-| 4.0.0         | 3.1.1                 | 8                    | 2.12                     | 8.\*                          |
-| 4.0.0-beta.3  | 3.1.1                 | 8                    | 2.12                     | 8.\*                          |
-| 4.0.0-beta.2  | 3.1.1                 | 8                    | 2.12                     | 8.\*                          |
-| 4.0.0-beta.1  | 3.1.1                 | 8                    | 2.12                     | 8.\*                          |
+## Release notes
+* [Release notes for Spark 3.1](https://aka.ms/azure-cosmos-spark-3-1-changelog)
+* [Release notes for Spark 3.2](https://aka.ms/azure-cosmos-spark-3-2-changelog)
 
 ## Download
-
-You can use the maven coordinate of the jar to auto install the Spark Connector to your Databricks Runtime 8 from Maven:
-`com.azure.cosmos.spark:azure-cosmos-spark_3-1_2-12:4.4.0`
-
-You can also integrate against Cosmos DB Spark Connector in your SBT project:
-
-```scala
-libraryDependencies += "com.azure.cosmos.spark" % "azure-cosmos-spark_3-1_2-12" % "4.4.0"
-```
+* [Download of Cosmos DB Spark connectro for Spark 3.1](https://aka.ms/azure-cosmos-spark-3-1-changelog)
+* [Download of Cosmos DB Spark connectro for Spark 3.2](https://aka.ms/azure-cosmos-spark-3-2-download)
 
 Azure Cosmos DB Spark connector is available on [Maven Central Repo](https://search.maven.org/search?q=g:com.azure.cosmos.spark).
 

articles/cosmos-db/sql/sql-api-sdk-java-spark.md

@@ -60,60 +60,7 @@ You can use the connector with [Azure Databricks](https://azure.microsoft.com/se
 |**Get started** | [Accelerate big data analytics by using the Apache Spark to Azure Cosmos DB connector](./create-sql-api-spark.md) <br> [Use Apache Spark Structured Streaming with Apache Kafka and Azure Cosmos DB](../../hdinsight/apache-kafka-spark-structured-streaming-cosmosdb.md?toc=/azure/cosmos-db/toc.json&bc=/azure/cosmos-db/breadcrumb/toc.json) | 
 
 ## Release history
-
-### 3.3.0
-#### New features
-- Adds a new config option, `changefeedstartfromdatetime`, which can be used to specify the start time for when the changefeed should be processed. For more information, see [Config options](https://github.com/Azure/azure-cosmosdb-spark/wiki/Configuration-references).
-
-### 3.2.0
-#### Key bug fixes
-- Fixes a regression that caused excessive memory consumption on the executors for large result sets (for example, with millions of rows), ultimately resulting in the error `java.lang.OutOfMemoryError: GC overhead limit exceeded`.
-
-### 3.1.1
-#### Key bug fixes
-* Fixes a streaming checkpoint edge case in which the `ID` contains the pipe character (|) with the `ChangeFeedMaxPagesPerBatch` config applied.
-
-### 3.1.0
-#### New features
-* Adds support for bulk updates when nested partition keys are used.
-* Adds support for Decimal and Float data types during writes to Azure Cosmos DB.
-* Adds support for Timestamp types when they're using Long (Unix epoch) as a value.
-
-### 3.0.8
-#### Key bug fixes
-* Fixes typecast exception that occurs when the `WriteThroughputBudget` config is used.
-
-### 3.0.7
-#### New features
-* Adds error information for bulk failures to exception and log.
-
-### 3.0.6
-#### Key bug fixes
-* Fixes streaming checkpoint issues.
-
-### 3.0.5
-#### Key bug fixes
-* To reduce noise, fixes log level of a message left unintentionally with level ERROR.
-
-### 3.0.4
-#### Key bug fixes
-* Fixes a bug in structured streaming during partition splits. The bug could result in some missing change feed records or Null exceptions for checkpoint writes.
-
-### 3.0.3
-#### Key bug fixes
-* Fixes a bug that causes a custom schema provided for readStream to be ignored.
-
-### 3.0.2
-#### Key bug fixes
-* Fixes a regression (unshaded JAR includes all shaded dependencies) that increases build time by 50 percent.
-
-### 3.0.1
-#### Key bug fixes
-* Fixes a dependency problem that causes Direct Transport over TCP to fail with RequestTimeoutException.
-
-### 3.0.0
-#### New features
-* Improves connection management and connection pooling to reduce the number of metadata calls.
+* [Release notes](https://github.com/Azure/azure-cosmosdb-spark/blob/2.4/CHANGELOG.md)]
 
 ## FAQ
 [!INCLUDE [cosmos-db-sdk-faq](../includes/cosmos-db-sdk-faq.md)]