Add download page for 22.02 [skip ci] (#4572)

* Add download page for 22.02 Signed-off-by: Hao Zhu <hazhu@nvidia.com> * add mixed join Signed-off-by: Hao Zhu <hazhu@nvidia.com> * Update docs/download.md Co-authored-by: Jason Lowe <jlowe@nvidia.com> * Add spark 3.2.1 support Signed-off-by: Hao Zhu <hazhu@nvidia.com> Co-authored-by: Jason Lowe <jlowe@nvidia.com>
NVIDIA · Feb 4, 2022 · f47bc10 · f47bc10
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commit f47bc10
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diff --git a/docs/download.md b/docs/download.md
@@ -18,6 +18,69 @@ cuDF jar, that is either preinstalled in the Spark classpath on all nodes or sub
 that uses the RAPIDS Accelerator For Apache Spark. See the [getting-started
 guide](https://nvidia.github.io/spark-rapids/Getting-Started/) for more details.
 
+## Release v22.02.0
+Hardware Requirements:
+
+The plugin is tested on the following architectures:
+
+	GPU Models: NVIDIA V100, T4 and A2/A10/A30/A100 GPUs
+
+Software Requirements:
+
+	OS: Ubuntu 18.04, Ubuntu 20.04 or CentOS 7, CentOS 8
+
+	CUDA & NVIDIA Drivers*: 11.x & v450.80.02+
+
+	Apache Spark 3.0.1, 3.0.2, 3.0.3, 3.1.1, 3.1.2, 3.2.0, 3.2.1, Cloudera CDP 7.1.6, 7.1.7, Databricks 7.3 ML LTS or 9.1 ML LTS Runtime and GCP Dataproc 2.0
+
+	Python 3.6+, Scala 2.12, Java 8
+
+*Some hardware may have a minimum driver version greater than v450.80.02+.  Check the GPU spec sheet
+for your hardware's minimum driver version.
+
+### Download v22.02.0
+* Download the [RAPIDS
+  Accelerator for Apache Spark 22.02.0 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.02.0/rapids-4-spark_2.12-22.02.0.jar)
+* Download the [RAPIDS cuDF 22.02.0 jar](https://repo1.maven.org/maven2/ai/rapids/cudf/22.02.0/cudf-22.02.0-cuda11.jar)
+
+This package is built against CUDA 11.5 and has [CUDA forward
+compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html) enabled.  It is tested
+on V100, T4, A2, A10, A30 and A100 GPUs with CUDA 11.0-11.5.  For those using other types of GPUs which
+do not have CUDA forward compatibility (for example, GeForce), CUDA 11.5 is required. Users will
+need to ensure the minimum driver (450.80.02) and CUDA toolkit are installed on each Spark node.
+
+### Verify signature
+* Download the [RAPIDS Accelerator for Apache Spark 22.02.0 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.02.0/rapids-4-spark_2.12-22.02.0.jar)
+  and [RAPIDS Accelerator for Apache Spark 22.02.0 jars.asc](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.02.0/rapids-4-spark_2.12-22.02.0.jar.asc)
+* Download the [PUB_KEY](https://keys.openpgp.org/search?q=sw-spark@nvidia.com).
+* Import the public key: `gpg --import PUB_KEY`
+* Verify the signature: `gpg --verify rapids-4-spark_2.12-22.02.0.jar.asc rapids-4-spark_2.12-22.02.0.jar`
+
+The output if signature verify:
+
+	gpg: Good signature from "NVIDIA Spark (For the signature of spark-rapids release jars) <sw-spark@nvidia.com>"
+
+### Release Notes
+New functionality and performance improvements for this release include:
+* Parquet reader and writer support for decimal precision up to 38 digits (128-bits)
+* Decimal 128-bits casting
+  * Casting of decimal 128-bits values in nested types
+  * Casting to String from decimal 128-bits
+  * Casting from String to decimal 128-bits
+* MIG on YARN support
+* GPU explain only mode for Spark 3.x and 2.x
+* JSON reader support
+* Sequence function support
+* regexp_extract function support
+* Min and max on single-level struct
+* CreateMap updates and enable CreateMap by default
+* Cast from array to string
+* Add regular expression support to regexp_replace function
+* Support for conditional joins using libcudf's mixed join feature
+
+For a detailed list of changes, please refer to the
+[CHANGELOG](https://github.com/NVIDIA/spark-rapids/blob/main/CHANGELOG.md).
+
 ## Release v21.12.0
 Hardware Requirements: