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Prep 1.0.1 release (#996)
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‎README.md

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<tbody align="center">
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<tr>
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<td >2.3</td>
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<td rowspan=3><a href="https://github.com/dotnet/spark/releases/tag/v1.0.0">v1.0.0</a></td>
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<td rowspan=3><a href="https://github.com/dotnet/spark/releases/tag/v1.0.1">v1.0.1</a></td>
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</tr>
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<td>2.4*</td>

‎benchmark/scala/pom.xml

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<modelVersion>4.0.0</modelVersion>
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<groupId>com.microsoft.spark</groupId>
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<artifactId>microsoft-spark-benchmark</artifactId>
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<version>1.0.0</version>
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<version>1.0.1</version>
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<inceptionYear>2019</inceptionYear>
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<properties>
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<encoding>UTF-8</encoding>

‎docs/release-notes/1.0.1/release-1.0.1.md

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# .NET for Apache Spark 1.0.1 Release Notes
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This is a maintenance release which contains backported PRs to support Spark 2.4.8.
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### New Features/Improvements
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* Add spark.dotnet.ignoreSparkPatchVersionCheck conf to ignore patch version in DotnetRunner ([#990](https://github.com/dotnet/spark/pull/990))
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### Bug Fixes
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* Fix signer information mismatch issue ([#989](https://github.com/dotnet/spark/pull/989))
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### Infrastructure / Documentation / Etc.
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* Update dotnet-interactive deprecated feed ([#991](https://github.com/dotnet/spark/pull/991), [#995](https://github.com/dotnet/spark/pull/995))
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### Breaking Changes
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* None
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### Known Issues
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* Broadcast variables do not work with [dotnet-interactive](https://github.com/dotnet/interactive) ([#561](https://github.com/dotnet/spark/pull/561))
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* UDFs defined using class objects with closures does not work with [dotnet-interactive](https://github.com/dotnet/interactive) ([#619](https://github.com/dotnet/spark/pull/619))
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* In [dotnet-interactive](https://github.com/dotnet/interactive) blocking Spark methods that require external threads to unblock them does not work. ie `StreamingQuery.AwaitTermination` requires `StreamingQuery.Stop` to unblock ([#736](https://github.com/dotnet/spark/pull/736))
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* `GroupedMap` does not work on Spark 3.0.0 ([#654](https://github.com/dotnet/spark/issues/654))
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### Supported Spark Versions
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The following table outlines the supported Spark versions along with the microsoft-spark JAR to use with:
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<table>
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<thead>
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<tr>
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<th>Spark Version</th>
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<th>microsoft-spark JAR</th>
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</tr>
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</thead>
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<tbody align="center">
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<tr>
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<td>2.3.*</td>
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<td>microsoft-spark-2-3_2.11-1.0.1.jar</td>
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</tr>
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<tr>
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<td>2.4.0</td>
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<td rowspan=7>microsoft-spark-2-4_2.11-1.0.1.jar</td>
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</tr>
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<td>2.4.1</td>
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</tr>
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<td>2.4.3</td>
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</tr>
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<td>2.4.4</td>
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</tr>
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<td>2.4.5</td>
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</tr>
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<td>2.4.6</td>
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</tr>
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<td>2.4.7</td>
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</tr>
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<td>2.4.8</td>
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</tr>
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<td>2.4.2</td>
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<td><a href="https://github.com/dotnet/spark/issues/60">Not supported</a></td>
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</tr>
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<td>3.0.0</td>
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<td rowspan=2>microsoft-spark-3-0_2.12-1.0.1.jar</td>
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</tr>
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<td>3.0.1</td>
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</tr>
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</tbody>
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</table>
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### Supported Delta Versions
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The following table outlines the supported Delta versions along with the Microsoft.Spark.Extensions version to use with:
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<table>
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<thead>
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<tr>
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<th>Delta Version</th>
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<th>Microsoft.Spark.Extensions.Delta</th>
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</tr>
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</thead>
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<tbody align="center">
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<tr>
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<td>0.1.0</td>
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<td rowspan=8>1.0.1</td>
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</tr>
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<td>0.2.0</td>
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</tr>
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<td>0.3.0</td>
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</tr>
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<td>0.4.0</td>
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</tr>
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<td>0.5.0</td>
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</tr>
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<td>0.6.0</td>
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</tr>
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<td>0.6.1</td>
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</tr>
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<td>0.7.0</td>
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</tr>
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</tbody>
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</table>
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### Supported Hyperspace Versions
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The following table outlines the supported Hyperspace versions along with the Microsoft.Spark.Extensions version to use with:
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<table>
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<thead>
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<tr>
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<th>Hyperspace Version</th>
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<th>Microsoft.Spark.Extensions.Hyperspace</th>
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</tr>
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</thead>
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<tbody align="center">
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<tr>
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<td>0.1.0</td>
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<td rowspan=2>1.0.1</td>
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</tr>
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<td>0.2.0</td>
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</tr>
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</tbody>
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</table>

‎eng/Versions.props

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<?xml version="1.0" encoding="utf-8"?>
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<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
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<PropertyGroup>
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<VersionPrefix>1.0.0</VersionPrefix>
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<VersionPrefix>1.0.1</VersionPrefix>
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<PreReleaseVersionLabel>prerelease</PreReleaseVersionLabel>
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<RestoreSources>
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$(RestoreSources);

‎src/scala/pom.xml

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<version>${microsoft-spark.version}</version>
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<properties>
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<encoding>UTF-8</encoding>
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<microsoft-spark.version>1.0.0</microsoft-spark.version>
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<microsoft-spark.version>1.0.1</microsoft-spark.version>
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</properties>
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<modules>

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