Address PR review: add clinit fix to CHANGELOGs and DBR 17.3 known issue

- Added JVM <clinit> deadlock fix (PR #48689) to all 5 spark connector CHANGELOGs
- Added Known Issues section to Spark 4.0 README for Structured Streaming
  incompatibility with Databricks Runtime 17.3

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Author: tvaron3

sdk/cosmos/azure-cosmos-spark_3-3_2-12/CHANGELOG.md

@@ -7,6 +7,7 @@
 
 #### Bugs Fixed
 * Fixed an issue where `readContainerThroughput` was always called even when `targetThroughput` is explicitly configured, requiring unnecessary `throughputSettings/read` permission for AAD principals. - See [PR 48800](https://github.com/Azure/azure-sdk-for-java/pull/48800)
+* Fixed JVM `<clinit>` deadlock when multiple threads concurrently trigger Cosmos SDK class loading for the first time. - See [PR 48689](https://github.com/Azure/azure-sdk-for-java/pull/48689)
 
 ### 4.46.0 (2026-03-27)
 

sdk/cosmos/azure-cosmos-spark_3-4_2-12/CHANGELOG.md

@@ -7,6 +7,7 @@
 
 #### Bugs Fixed
 * Fixed an issue where `readContainerThroughput` was always called even when `targetThroughput` is explicitly configured, requiring unnecessary `throughputSettings/read` permission for AAD principals. - See [PR 48800](https://github.com/Azure/azure-sdk-for-java/pull/48800)
+* Fixed JVM `<clinit>` deadlock when multiple threads concurrently trigger Cosmos SDK class loading for the first time. - See [PR 48689](https://github.com/Azure/azure-sdk-for-java/pull/48689)
 
 ### 4.46.0 (2026-03-27)
 

sdk/cosmos/azure-cosmos-spark_3-5_2-12/CHANGELOG.md

@@ -7,6 +7,7 @@
 
 #### Bugs Fixed
 * Fixed an issue where `readContainerThroughput` was always called even when `targetThroughput` is explicitly configured, requiring unnecessary `throughputSettings/read` permission for AAD principals. - See [PR 48800](https://github.com/Azure/azure-sdk-for-java/pull/48800)
+* Fixed JVM `<clinit>` deadlock when multiple threads concurrently trigger Cosmos SDK class loading for the first time. - See [PR 48689](https://github.com/Azure/azure-sdk-for-java/pull/48689)
 
 ### 4.46.0 (2026-03-27)
 

sdk/cosmos/azure-cosmos-spark_3-5_2-13/CHANGELOG.md

@@ -7,6 +7,7 @@
 
 #### Bugs Fixed
 * Fixed an issue where `readContainerThroughput` was always called even when `targetThroughput` is explicitly configured, requiring unnecessary `throughputSettings/read` permission for AAD principals. - See [PR 48800](https://github.com/Azure/azure-sdk-for-java/pull/48800)
+* Fixed JVM `<clinit>` deadlock when multiple threads concurrently trigger Cosmos SDK class loading for the first time. - See [PR 48689](https://github.com/Azure/azure-sdk-for-java/pull/48689)
 
 ### 4.46.0 (2026-03-27)
 

sdk/cosmos/azure-cosmos-spark_4-0_2-13/CHANGELOG.md

@@ -5,6 +5,9 @@
 #### Features Added
 * Added support for change feed with `startFrom` point-in-time on merged partitions by enabling the `CHANGE_FEED_WITH_START_TIME_POST_MERGE` SDK capability in the azure-cosmos SDK. - See [PR 48752](https://github.com/Azure/azure-sdk-for-java/pull/48752)
 
+#### Bugs Fixed
+* Fixed JVM `<clinit>` deadlock when multiple threads concurrently trigger Cosmos SDK class loading for the first time. - See [PR 48689](https://github.com/Azure/azure-sdk-for-java/pull/48689)
+
 ### 4.46.0 (2026-03-27)
 
 #### Bugs Fixed

sdk/cosmos/azure-cosmos-spark_4-0_2-13/README.md

@@ -183,6 +183,11 @@ to use the same version of Scala that Spark was compiled for.
 | 4.43.1    | 3.5.0                    | [17]                  | 2.13                      | 16.4 LTS                      | TBD                       |
 | 4.43.0    | 3.5.0                    | [17]                  | 2.13                      | 16.4 LTS                      | TBD                       |
 
+### Known Issues
+
+#### Spark Structured Streaming does not work with Databricks Runtime 17.3
+Databricks Runtime 17.3 uses Spark 4.0.0-preview2, which relocated the internal class `org.apache.spark.sql.connector.read.streaming.SparkDataStream` to a different package starting in Spark 4.1. This causes a `NoClassDefFoundError` when using Spark Structured Streaming with the Cosmos DB Spark connector on DBR 17.3. This issue affects all Spark connectors that depend on this internal API. We are tracking the upstream Spark issue and will provide a fix once a public API is available.
+
 ### Download
 
 You can use the maven coordinate of the jar to auto install the Spark Connector to your Databricks Runtime from Maven: