Prep 0.11.0 release

README.md

@@ -39,7 +39,7 @@
     <tbody align="center">
         <tr>
             <td >2.3.*</td>
-            <td rowspan=6><a href="https://github.com/dotnet/spark/releases/tag/v0.10.0">v0.10.0</a></td>
+            <td rowspan=6><a href="https://github.com/dotnet/spark/releases/tag/v0.11.0">v0.11.0</a></td>
         </tr>
         <tr>
             <td>2.4.0</td>

benchmark/scala/pom.xml

@@ -3,7 +3,7 @@
   <modelVersion>4.0.0</modelVersion>
   <groupId>com.microsoft.spark</groupId>
   <artifactId>microsoft-spark-benchmark</artifactId>
-  <version>0.10.0</version>
+  <version>0.11.0</version>
   <inceptionYear>2019</inceptionYear>
   <properties>
     <encoding>UTF-8</encoding>

docs/release-notes/0.11/release-0.11.md

@@ -0,0 +1,83 @@
+# .NET for Apache Spark 0.11 Release Notes
+
+### New Features and Improvements
+
+* Ability to pass and return corefxlab DataFrames to UDF APIs ([#277](https://github.com/dotnet/spark/pull/277))
+* Supporting ML TF-IDF (Term frequency-inverse document frequency) feature vectorization method ([#394](https://github.com/dotnet/spark/pull/394))
+* Support for TimestampType in `DataFrame.Collect()`, `CreateDataFrame` and UDFs ([#428](https://github.com/dotnet/spark/pull/428))
+* Support for Broadcast Variables ([#414](https://github.com/dotnet/spark/pull/414))
+* Implement ML feature Word2Vec ([#491](https://github.com/dotnet/spark/pull/491))
+* Streamline logging when there is a failure ([#439](https://github.com/dotnet/spark/pull/439))
+
+
+### Breaking Changes
+
+* SparkSession.Catalog call changed from a method to a property ([#508](https://github.com/dotnet/spark/pull/508))
+
+### Compatibility
+
+The following table describes the oldest version of the worker that this current version is compatible with, excluding some incompatible features as shown below.
+
+<table>
+    <thead>
+        <tr>
+            <th>Oldest compatible .NET for Apache Spark worker</th>
+            <th>Incompatible features</th>
+        </tr>
+    </thead>
+    <tbody align="center">
+        <tr>
+            <td rowspan=4>v0.9.0</td>
+            <td>DataFrame with Grouped Map UDF <a href="https://github.com/dotnet/spark/pull/277">(#277)</a></td>
+        </tr>
+        <tr>
+            <td>DataFrame with Vector UDF <a href="https://github.com/dotnet/spark/pull/277">(#277)</a></td>
+        </tr>
+        <tr>
+            <td>Support for Broadcast Variables <a href="https://github.com/dotnet/spark/pull/414">(#414)</a></td>
+        </tr>
+        <tr>
+            <td>Support for TimestampType <a href="https://github.com/dotnet/spark/pull/428">(#428)</a></td>
+        </tr>
+    </tbody>
+</table>
+
+
+### Supported Spark Versions
+
+The following table outlines the supported Spark versions along with the microsoft-spark JAR to use with:
+
+<table>
+    <thead>
+        <tr>
+            <th>Spark Version</th>
+            <th>microsoft-spark JAR</th>
+        </tr>
+    </thead>
+    <tbody align="center">
+        <tr>
+            <td>2.3.*</td>
+            <td>microsoft-spark-2.3.x-0.11.0.jar</td>
+        </tr>
+        <tr>
+            <td>2.4.0</td>
+            <td rowspan=5>microsoft-spark-2.4.x-0.11.0.jar</td>
+        </tr>
+        <tr>
+            <td>2.4.1</td>
+        </tr>
+        <tr>
+            <td>2.4.3</td>
+        </tr>
+        <tr>
+            <td>2.4.4</td>
+        </tr>
+        <tr>
+            <td>2.4.5</td>
+        </tr>
+        <tr>
+            <td>2.4.2</td>
+            <td><a href="https://github.com/dotnet/spark/issues/60">Not supported</a></td>
+        </tr>
+    </tbody>
+</table>

eng/Versions.props

@@ -1,7 +1,7 @@
 <?xml version="1.0" encoding="utf-8"?>
 <Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
   <PropertyGroup>
-    <VersionPrefix>0.10.0</VersionPrefix>
+    <VersionPrefix>0.11.0</VersionPrefix>
     <PreReleaseVersionLabel>prerelease</PreReleaseVersionLabel>
     <RestoreSources>
       $(RestoreSources);

src/scala/pom.xml

@@ -7,7 +7,7 @@
   <version>${microsoft-spark.version}</version>
   <properties>
     <encoding>UTF-8</encoding>
-    <microsoft-spark.version>0.10.0</microsoft-spark.version>
+    <microsoft-spark.version>0.11.0</microsoft-spark.version>
   </properties>
 
   <modules>