update versions for 2304 hot fix (#8248)

Signed-off-by: liyuan <[email protected]>

docs/demo/Databricks/generate-init-script.ipynb

@@ -3,7 +3,7 @@
       {
          "cell_type":"code",
          "source":[
-            "dbutils.fs.mkdirs(\"dbfs:/databricks/init_scripts/\")\n \ndbutils.fs.put(\"/databricks/init_scripts/init.sh\",\"\"\"\n#!/bin/bash\nsudo wget -O /databricks/jars/rapids-4-spark_2.12-23.04.0.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar\n\"\"\", True)"
+            "dbutils.fs.mkdirs(\"dbfs:/databricks/init_scripts/\")\n \ndbutils.fs.put(\"/databricks/init_scripts/init.sh\",\"\"\"\n#!/bin/bash\nsudo wget -O /databricks/jars/rapids-4-spark_2.12-23.04.1.jar https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.1/rapids-4-spark_2.12-23.04.1.jar\n\"\"\", True)"
          ],
          "metadata":{
 

docs/dev/shims.md

@@ -68,17 +68,17 @@ Using JarURLConnection URLs we create a Parallel World of the current version wi
 Spark 3.0.2's URLs:
 
 ```text
-jar:file:/home/spark/rapids-4-spark_2.12-23.04.0.jar!/
-jar:file:/home/spark/rapids-4-spark_2.12-23.04.0.jar!/spark3xx-common/
-jar:file:/home/spark/rapids-4-spark_2.12-23.04.0.jar!/spark302/
+jar:file:/home/spark/rapids-4-spark_2.12-23.04.1.jar!/
+jar:file:/home/spark/rapids-4-spark_2.12-23.04.1.jar!/spark3xx-common/
+jar:file:/home/spark/rapids-4-spark_2.12-23.04.1.jar!/spark302/
 ```
 
 Spark 3.2.0's URLs :
 
 ```text
-jar:file:/home/spark/rapids-4-spark_2.12-23.04.0.jar!/
-jar:file:/home/spark/rapids-4-spark_2.12-23.04.0.jar!/spark3xx-common/
-jar:file:/home/spark/rapids-4-spark_2.12-23.04.0.jar!/spark320/
+jar:file:/home/spark/rapids-4-spark_2.12-23.04.1.jar!/
+jar:file:/home/spark/rapids-4-spark_2.12-23.04.1.jar!/spark3xx-common/
+jar:file:/home/spark/rapids-4-spark_2.12-23.04.1.jar!/spark320/
 ```
 
 ### Late Inheritance in Public Classes

docs/download.md

@@ -18,7 +18,7 @@ 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 v23.04.0
+## Release v23.04.1
 Hardware Requirements:
 
 The plugin is tested on the following architectures:
@@ -41,9 +41,9 @@ for your hardware's minimum driver version.
 *For Cloudera and EMR support, please refer to the
 [Distributions](./FAQ.md#which-distributions-are-supported) section of the FAQ.
 
-### Download v23.04.0
+### Download v23.04.1
 * Download the [RAPIDS
-  Accelerator for Apache Spark 23.04.0 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar)
+  Accelerator for Apache Spark 23.04.1 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.1/rapids-4-spark_2.12-23.04.1.jar)
 
 This package is built against CUDA 11.8 and all CUDA 11.x versions are supported through [CUDA forward
 compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html). It is tested
@@ -52,17 +52,18 @@ do not have CUDA forward compatibility (for example, GeForce), CUDA 11.5 or late
 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 23.04.0 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar)
-  and [RAPIDS Accelerator for Apache Spark 23.04.0 jars.asc](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.0/rapids-4-spark_2.12-23.04.0.jar.asc)
+* Download the [RAPIDS Accelerator for Apache Spark 23.04.1 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.1/rapids-4-spark_2.12-23.04.1.jar)
+  and [RAPIDS Accelerator for Apache Spark 23.04.1 jars.asc](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/23.04.1/rapids-4-spark_2.12-23.04.1.jar.asc)
 * Download the [PUB_KEY](https://keys.openpgp.org/[email protected]).
 * Import the public key: `gpg --import PUB_KEY`
-* Verify the signature: `gpg --verify rapids-4-spark_2.12-23.04.0.jar.asc rapids-4-spark_2.12-23.04.0.jar`
+* Verify the signature: `gpg --verify rapids-4-spark_2.12-23.04.1.jar.asc rapids-4-spark_2.12-23.04.1.jar`
 
 The output if signature verify:
 
 	gpg: Good signature from "NVIDIA Spark (For the signature of spark-rapids release jars) <[email protected]>"
 
 ### Release Notes
+The 23.04.1 release patches a possible driver OOM which can occur on an executor broadcast.
 New functionality and performance improvements for this release include:
 * Introduces OOM retry framework for automatic OOM handling in memory-intensive operators, such as: join, aggregates and windows, coalescing, projections and filters.
 * Support dynamic repartitioning in large/skewed hash joins

docs/get-started/getting-started-databricks.md

@@ -139,7 +139,7 @@ cluster.
     ```bash
     spark.rapids.sql.python.gpu.enabled true
     spark.python.daemon.module rapids.daemon_databricks
-    spark.executorEnv.PYTHONPATH /databricks/jars/rapids-4-spark_2.12-23.04.0.jar:/databricks/spark/python
+    spark.executorEnv.PYTHONPATH /databricks/jars/rapids-4-spark_2.12-23.04.1.jar:/databricks/spark/python
     ```
    Note that since python memory pool require installing the cudf library, so you need to install cudf library in 
    each worker nodes `pip install cudf-cu11 --extra-index-url=https://pypi.nvidia.com` or disable python memory pool

docs/get-started/getting-started-on-prem.md

@@ -53,13 +53,13 @@ CUDA and will not run on other versions. The jars use a classifier to keep them
 - CUDA 11.x => classifier cuda11
 
 For example, here is a sample version of the jar with CUDA 11.x support:
-- rapids-4-spark_2.12-23.04.0-SNAPSHOT-cuda11.jar
+- rapids-4-spark_2.12-23.04.1-SNAPSHOT-cuda11.jar
 
 For simplicity export the location to this jar. This example assumes the sample jar above has
 been placed in the `/opt/sparkRapidsPlugin` directory:
 ```shell 
 export SPARK_RAPIDS_DIR=/opt/sparkRapidsPlugin
-export SPARK_RAPIDS_PLUGIN_JAR=${SPARK_RAPIDS_DIR}/rapids-4-spark_2.12-23.04.0-SNAPSHOT-cuda11.jar
+export SPARK_RAPIDS_PLUGIN_JAR=${SPARK_RAPIDS_DIR}/rapids-4-spark_2.12-23.04.1-SNAPSHOT-cuda11.jar
 ```
 
 ## Install the GPU Discovery Script

sql-plugin/src/main/scala/com/nvidia/spark/rapids/ShimLoader.scala

@@ -58,13 +58,13 @@ import org.apache.spark.util.MutableURLClassLoader
 
     E.g., Spark 3.2.0 Shim will use
 
-    jar:file:/home/spark/rapids-4-spark_2.12-23.04.0.jar!/spark3xx-common/
-    jar:file:/home/spark/rapids-4-spark_2.12-23.04.0.jar!/spark320/
+    jar:file:/home/spark/rapids-4-spark_2.12-23.04.1.jar!/spark3xx-common/
+    jar:file:/home/spark/rapids-4-spark_2.12-23.04.1.jar!/spark320/
 
     Spark 3.1.1 will use
 
-    jar:file:/home/spark/rapids-4-spark_2.12-23.04.0.jar!/spark3xx-common/
-    jar:file:/home/spark/rapids-4-spark_2.12-23.04.0.jar!/spark311/
+    jar:file:/home/spark/rapids-4-spark_2.12-23.04.1.jar!/spark3xx-common/
+    jar:file:/home/spark/rapids-4-spark_2.12-23.04.1.jar!/spark311/
 
     Using these Jar URL's allows referencing different bytecode produced from identical sources
     by incompatible Scala / Spark dependencies.